Computational approaches to fMRI analysis

A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more meaningful cognitive signals from noisy and increasingly large fMRI datasets. In this paper, the authors review the cutting edge of such computationa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature neuroscience Jg. 20; H. 3; S. 304 - 313
Hauptverfasser: Cohen, Jonathan D, Daw, Nathaniel, Engelhardt, Barbara, Hasson, Uri, Li, Kai, Niv, Yael, Norman, Kenneth A, Pillow, Jonathan, Ramadge, Peter J, Turk-Browne, Nicholas B, Willke, Theodore L
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Nature Publishing Group US 01.03.2017
Nature Publishing Group
Schlagworte:
59/36
631/378/2649
631/477
Analysis
Animal Genetics and Genomics
Behavioral Sciences
Biological Techniques
Biomedicine
Brain - physiology
Brain Mapping - methods
Cognition
Cognition - physiology
Computer engineering
Computer science
Control theory
Hemodynamics
Humans
Learning - physiology
Machine learning
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
Methods
Models, Neurological
Neurobiology
Neuroimaging
Neurosciences
perspective
Software
United States
United States > US
New Jersey
ISSN:1097-6256, 1546-1726, 1546-1726
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more meaningful cognitive signals from noisy and increasingly large fMRI datasets. In this paper, the authors review the cutting edge of such computational analyses and discuss future opportunities and challenges. Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis. Several recent exploratory and theory-driven methods have begun to pursue these opportunities. These methods highlight the importance of computational techniques in fMRI analysis, especially machine learning, algorithmic optimization and parallel computing. Adoption of these techniques is enabling a new generation of experiments and analyses that could transform our understanding of some of the most complex—and distinctly human—signals in the brain: acts of cognition such as thoughts, intentions and memories.
AbstractList A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more meaningful cognitive signals from noisy and increasingly large fMRI datasets. In this paper, the authors review the cutting edge of such computational analyses and discuss future opportunities and challenges. Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis. Several recent exploratory and theory-driven methods have begun to pursue these opportunities. These methods highlight the importance of computational techniques in fMRI analysis, especially machine learning, algorithmic optimization and parallel computing. Adoption of these techniques is enabling a new generation of experiments and analyses that could transform our understanding of some of the most complex—and distinctly human—signals in the brain: acts of cognition such as thoughts, intentions and memories.
Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis. Several recent exploratory and theory-driven methods have begun to pursue these opportunities. These methods highlight the importance of computational techniques in fMRI analysis, especially machine learning, algorithmic optimization and parallel computing. Adoption of these techniques is enabling a new generation of experiments and analyses that could transform our understanding of some of the most complex--and distinctly human--signals in the brain: acts of cognition such as thoughts, intentions and memories.
Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis. Several recent exploratory and theory-driven methods have begun to pursue these opportunities. These methods highlight the importance of computational techniques in fMRI analysis, especially machine learning, algorithmic optimization and parallel computing. Adoption of these techniques is enabling a new generation of experiments and analyses that could transform our understanding of some of the most complex-and distinctly human-signals in the brain: acts of cognition such as thoughts, intentions and memories.Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis. Several recent exploratory and theory-driven methods have begun to pursue these opportunities. These methods highlight the importance of computational techniques in fMRI analysis, especially machine learning, algorithmic optimization and parallel computing. Adoption of these techniques is enabling a new generation of experiments and analyses that could transform our understanding of some of the most complex-and distinctly human-signals in the brain: acts of cognition such as thoughts, intentions and memories.
Audience Academic
Author Li, Kai
Norman, Kenneth A
Pillow, Jonathan
Cohen, Jonathan D
Niv, Yael
Ramadge, Peter J
Turk-Browne, Nicholas B
Willke, Theodore L
Daw, Nathaniel
Engelhardt, Barbara
Hasson, Uri
AuthorAffiliation 1 Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
2 Department of Psychology, Princeton University, Princeton, New Jersey, USA
3 Department of Computer Science, Princeton University, Princeton, New Jersey, USA
4 Department of Electrical Engineering, Princeton University, Princeton, New Jersey, USA
5 Intel Labs, Intel Corporation, Santa Clara, California, USA
AuthorAffiliation_xml – name: 5 Intel Labs, Intel Corporation, Santa Clara, California, USA
– name: 1 Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
– name: 4 Department of Electrical Engineering, Princeton University, Princeton, New Jersey, USA
– name: 3 Department of Computer Science, Princeton University, Princeton, New Jersey, USA
– name: 2 Department of Psychology, Princeton University, Princeton, New Jersey, USA
Author_xml – sequence: 1
  givenname: Jonathan D
  surname: Cohen
  fullname: Cohen, Jonathan D
  organization: Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
– sequence: 2
  givenname: Nathaniel
  orcidid: 0000-0001-5029-1430
  surname: Daw
  fullname: Daw, Nathaniel
  organization: Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
– sequence: 3
  givenname: Barbara
  surname: Engelhardt
  fullname: Engelhardt, Barbara
  organization: Department of Computer Science, Princeton University
– sequence: 4
  givenname: Uri
  surname: Hasson
  fullname: Hasson, Uri
  organization: Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
– sequence: 5
  givenname: Kai
  surname: Li
  fullname: Li, Kai
  organization: Department of Computer Science, Princeton University
– sequence: 6
  givenname: Yael
  orcidid: 0000-0002-0259-8371
  surname: Niv
  fullname: Niv, Yael
  organization: Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
– sequence: 7
  givenname: Kenneth A
  surname: Norman
  fullname: Norman, Kenneth A
  organization: Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
– sequence: 8
  givenname: Jonathan
  surname: Pillow
  fullname: Pillow, Jonathan
  organization: Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
– sequence: 9
  givenname: Peter J
  surname: Ramadge
  fullname: Ramadge, Peter J
  organization: Department of Electrical Engineering, Princeton University
– sequence: 10
  givenname: Nicholas B
  surname: Turk-Browne
  fullname: Turk-Browne, Nicholas B
  email: ntb@princeton.edu
  organization: Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
– sequence: 11
  givenname: Theodore L
  surname: Willke
  fullname: Willke, Theodore L
  organization: Intel Labs, Intel Corporation, Santa Clara, California, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28230848$$D View this record in MEDLINE/PubMed
BookMark eNqNkktr3DAUhUVJaB4t_QdloIs2C08lWbKsTSEMfQykFNJ2LWTpeqJgS65kh-TfV5OZhMw0i6KFxNV3D4dz7wk68MEDQm8InhNc1h-9nzMm5Qt0TDirCiJodZDfWIqiorw6QicpXWOMBa_lS3REa1rimtXH6GwR-mEa9eiC191MD0MM2lxBmo1h1n6_XM50rt8ll16hw1Z3CV5v71P0-8vnX4tvxcWPr8vF-UVheEnGAmxjZdm0VtumhQa3mDDTYJDY0ooJMFJaW_KWA2sEcEk14ZJVVnPDDat5eYo-bXSHqenBGvBj1J0aout1vFNBO7X7492VWoUbxRkXJWZZ4MNWIIY_E6RR9S4Z6DrtIUxJkVqKUlAq-H-gIucpxb2td3vodZhizuZekNSckCz7SK10B8r5NmSLZi2qzllNGWWMVZmaP0PlY6F3Jk-2dbm-03C205CZEW7HlZ5SUsufl7vs26f5PQb3MPMMFBvAxJBShFYZt1mA7MJ1imC13inlvVrvVObf7_EPkv-S2zhTJvwK4pOM9tC_lCvV8w
CODEN NANEFN
CitedBy_id crossref_primary_10_1073_pnas_2013291117
crossref_primary_10_1016_j_cobeha_2020_11_007
crossref_primary_10_3389_fninf_2018_00033
crossref_primary_10_1016_j_neuroimage_2022_119246
crossref_primary_10_1111_pcn_13726
crossref_primary_10_1038_s41598_020_61737_1
crossref_primary_10_1111_psyp_13472
crossref_primary_10_1523_JNEUROSCI_1394_18_2018
crossref_primary_10_1002_wcs_1482
crossref_primary_10_1038_s41583_020_0276_4
crossref_primary_10_1162_netn_a_00285
crossref_primary_10_1080_08839514_2021_1982185
crossref_primary_10_1111_cns_14363
crossref_primary_10_1002_brb3_1707
crossref_primary_10_1016_j_neuroimage_2021_118796
crossref_primary_10_7554_eLife_64983
crossref_primary_10_1053_j_sult_2021_07_005
crossref_primary_10_1016_j_fmre_2021_10_002
crossref_primary_10_1109_ACCESS_2019_2963070
crossref_primary_10_1002_hbm_25026
crossref_primary_10_1016_j_neuroimage_2023_120245
crossref_primary_10_1016_j_neuroimage_2019_06_028
crossref_primary_10_1093_cercor_bhad393
crossref_primary_10_3389_fnins_2019_01087
crossref_primary_10_1016_j_neuroimage_2022_119633
crossref_primary_10_1093_scan_nsaa089
crossref_primary_10_3389_fninf_2021_577451
crossref_primary_10_3389_fcomp_2024_1156204
crossref_primary_10_1016_j_dcn_2024_101475
crossref_primary_10_1523_JNEUROSCI_0904_20_2020
crossref_primary_10_1016_j_jneumeth_2019_108567
crossref_primary_10_1109_JBHI_2023_3303470
crossref_primary_10_1016_j_neuroimage_2020_117213
crossref_primary_10_1093_cercor_bhab258
crossref_primary_10_3758_s13428_025_02794_0
crossref_primary_10_1016_j_inffus_2021_03_009
crossref_primary_10_1038_s41467_020_20085_4
crossref_primary_10_3389_fpsyg_2023_1211528
crossref_primary_10_1016_j_jpain_2018_03_011
crossref_primary_10_1515_revneuro_2017_0031
crossref_primary_10_1186_s40708_018_0083_0
crossref_primary_10_3389_fpsyt_2019_00371
crossref_primary_10_1016_j_nicl_2020_102375
crossref_primary_10_1088_1741_2552_aca4fc
crossref_primary_10_1016_j_conb_2020_10_004
crossref_primary_10_1016_j_neuroimage_2024_120846
crossref_primary_10_1080_19312458_2019_1708283
crossref_primary_10_1038_s41562_019_0681_8
crossref_primary_10_1016_j_scib_2024_05_049
crossref_primary_10_3389_fnins_2023_1154252
crossref_primary_10_52294_31bb5b68_2184_411b_8c00_a1dacb61e1da
crossref_primary_10_1016_j_brainres_2023_148582
crossref_primary_10_1088_1741_2552_ad0c5f
crossref_primary_10_7717_peerj_8564
crossref_primary_10_1177_1745691619856350
crossref_primary_10_1016_j_tics_2021_07_011
crossref_primary_10_3389_fnins_2023_1174080
crossref_primary_10_1038_s41597_021_01033_3
crossref_primary_10_1016_j_neuroimage_2023_120430
crossref_primary_10_3389_fnins_2019_00585
crossref_primary_10_3389_fnins_2020_588684
crossref_primary_10_1038_s41598_023_32823_x
crossref_primary_10_1002_wcs_1553
crossref_primary_10_1038_s41467_018_02887_9
crossref_primary_10_1162_jocn_a_01646
crossref_primary_10_1016_j_nicl_2018_10_008
crossref_primary_10_1080_17470919_2018_1518834
crossref_primary_10_1016_j_neuroimage_2020_116851
crossref_primary_10_1038_s41598_021_88845_w
crossref_primary_10_1002_cjs_11601
crossref_primary_10_1002_hbm_24379
crossref_primary_10_1097_MCO_0000000000000504
crossref_primary_10_1016_j_neubiorev_2020_12_034
crossref_primary_10_1371_journal_pone_0292450
crossref_primary_10_1016_j_neuroimage_2018_06_076
crossref_primary_10_1093_scan_nsy039
crossref_primary_10_1016_j_drugalcdep_2024_112421
crossref_primary_10_1007_s11280_022_01030_5
crossref_primary_10_1038_s42003_025_07588_w
crossref_primary_10_3389_fnhum_2021_656638
crossref_primary_10_3389_fmed_2022_857485
crossref_primary_10_7554_eLife_49547
crossref_primary_10_1038_s41593_018_0210_5
crossref_primary_10_1177_0963721418818441
crossref_primary_10_1523_JNEUROSCI_3003_20_2021
crossref_primary_10_1007_s12021_023_09634_6
crossref_primary_10_1093_gigascience_giy130
crossref_primary_10_1038_s41467_018_04920_3
crossref_primary_10_1038_s41562_023_01680_z
crossref_primary_10_1162_jocn_a_01779
crossref_primary_10_1007_s11042_023_15471_1
crossref_primary_10_1016_j_neubiorev_2022_104918
crossref_primary_10_1063_1_5080141
crossref_primary_10_1016_j_cobeha_2019_08_001
crossref_primary_10_1016_j_tins_2024_02_003
crossref_primary_10_1155_2020_5408942
crossref_primary_10_1016_j_media_2024_103136
crossref_primary_10_1177_09567976211021854
crossref_primary_10_1016_j_neuroimage_2019_116456
crossref_primary_10_1002_hbm_25010
crossref_primary_10_1016_j_neuroimage_2019_116058
crossref_primary_10_1523_JNEUROSCI_1843_19_2019
crossref_primary_10_1371_journal_pone_0230853
crossref_primary_10_1038_s41398_020_0740_y
crossref_primary_10_1016_j_neuroimage_2023_120206
crossref_primary_10_1016_j_neuroimage_2020_116790
crossref_primary_10_1002_hbm_24831
crossref_primary_10_1038_s41467_022_34283_9
crossref_primary_10_1016_j_neuroimage_2022_119295
crossref_primary_10_1093_scan_nsaa063
crossref_primary_10_3390_e21090875
crossref_primary_10_1146_annurev_clinpsy_072220_014550
crossref_primary_10_1016_j_dadm_2019_06_002
crossref_primary_10_1016_j_jmp_2021_102602
crossref_primary_10_1016_j_tics_2018_01_005
crossref_primary_10_1016_j_neuroimage_2018_12_055
crossref_primary_10_1016_j_neuroimage_2018_10_062
crossref_primary_10_1016_j_neuropsychologia_2020_107500
crossref_primary_10_1177_0271678X231197273
crossref_primary_10_1016_j_neuroimage_2020_117232
crossref_primary_10_1016_j_tips_2019_12_001
crossref_primary_10_1016_j_neuroimage_2019_116464
crossref_primary_10_7554_eLife_62051
crossref_primary_10_1016_j_dcn_2025_101555
Cites_doi 10.1016/S0022-5371(83)90201-3
10.1002/mrm.1910330508
10.1016/j.conb.2006.03.006
10.1109/BigData.2016.7840728
10.1038/nn.3940
10.1038/nn.4450
10.1111/j.1369-1600.2012.00449.x
10.1126/science.3289116
10.1111/j.1467-9280.2009.02460.x
10.1016/j.neuroimage.2011.09.015
10.1126/science.1152876
10.1126/science.1238409
10.1038/nmeth.3041
10.1016/j.neuron.2016.02.014
10.1016/j.neuropsychologia.2011.07.025
10.1523/JNEUROSCI.2978-14.2015
10.1016/S1053-8119(03)00145-9
10.1523/JNEUROSCI.0414-13.2013
10.1523/JNEUROSCI.5160-10.2011
10.1037/0033-295X.97.3.332
10.1038/nn1444
10.1162/jocn_a_00839
10.1016/j.neuroimage.2011.08.056
10.1016/j.neuroimage.2016.02.071
10.1126/science.1223252
10.1038/nn.4244
10.1016/j.neuroimage.2010.06.052
10.1016/j.jneumeth.2015.05.012
10.1523/JNEUROSCI.4584-13.2014
10.1101/032391
10.1073/pnas.0711099105
10.1371/journal.pone.0094914
10.1073/pnas.1516857113
10.1073/pnas.1319438111
10.1038/nn.3981
10.1016/j.neuroimage.2012.01.083
10.1523/JNEUROSCI.3098-14.2015
10.1016/j.neuroimage.2013.03.039
10.1093/cercor/bhr099
10.1016/j.neuroimage.2013.03.041
10.3389/neuro.01.016.2008
10.1016/j.neuroimage.2015.09.042
10.1016/j.neuroimage.2010.02.040
10.1016/j.neuroimage.2011.07.063
10.7551/mitpress/9504.003.0099
10.1073/pnas.1202095109
10.1002/mrm.1910330213
10.1098/rstb.2016.0278
10.1038/srep27755
10.1016/j.neuron.2012.05.010
10.1016/j.cub.2015.01.033
10.1016/j.neuroimage.2013.03.033
10.1126/science.1134239
10.1016/j.neuroimage.2011.10.025
10.1145/2807591.2807631
10.1002/mrm.1910250220
10.1038/sdata.2016.44
10.1016/j.neuron.2014.01.015
10.1016/j.neuron.2011.08.026
10.1016/j.cub.2012.06.056
10.1371/journal.pcbi.1003915
10.1016/j.neuroimage.2014.04.037
10.1126/science.1212003
10.1093/cercor/bht194
10.1016/j.neuroimage.2015.08.051
10.1038/nn.4284
10.1093/cercor/bhw068
10.1016/j.neuroimage.2008.03.061
10.1016/j.tics.2016.03.014
10.1023/A:1007964009986
10.1523/JNEUROSCI.2118-07.2007
10.1093/cercor/bhu284
10.1038/nn.3470
10.1073/pnas.89.12.5675
10.1073/pnas.89.13.5951
10.1109/BigData.2016.7840719
10.1002/(SICI)1097-0193(1997)5:5<329::AID-HBM1>3.0.CO;2-5
10.1002/hbm.460020402
10.1523/JNEUROSCI.0659-16.2016
10.1006/nimg.1996.0247
10.1038/nn.3973
10.1523/JNEUROSCI.5023-14.2015
10.1073/pnas.0505210102
10.1038/nn.4135
10.1038/ncomms9151
10.1038/nn.4179
10.1146/annurev-vision-082114-035447
10.1038/ncomms11066
10.1038/nrn2575
10.1186/s13587-015-0016-y
10.1007/s10827-016-0608-6
10.1016/j.neuron.2011.02.027
10.1126/science.1063736
10.1038/ncomms12141
ContentType Journal Article
Copyright Springer Nature America, Inc. 2017
COPYRIGHT 2017 Nature Publishing Group
Copyright Nature Publishing Group Mar 2017
Copyright_xml – notice: Springer Nature America, Inc. 2017
– notice: COPYRIGHT 2017 Nature Publishing Group
– notice: Copyright Nature Publishing Group Mar 2017
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
ISR
3V.
7QG
7QP
7QR
7TK
7TM
7U7
7U9
7X7
7XB
88E
88G
8AO
8FD
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
C1K
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
H94
HCIFZ
K9.
LK8
M0S
M1P
M2M
M7P
P64
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PSYQQ
Q9U
RC3
7X8
5PM
DOI 10.1038/nn.4499
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: Science
ProQuest Central (Corporate)
Animal Behavior Abstracts
Calcium & Calcified Tissue Abstracts
Chemoreception Abstracts
Neurosciences Abstracts
Nucleic Acids Abstracts
Toxicology Abstracts
Virology and AIDS Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Psychology Database (Alumni)
ProQuest Pharma Collection
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni Edition)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
Engineering Research Database
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
AIDS and Cancer Research Abstracts
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
ProQuest Biological Science Collection
Health & Medical Collection (Alumni Edition)
Medical Database
Psychology Database
Biological Science Database
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest One Psychology
ProQuest Central Basic
Genetics Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest One Psychology
ProQuest Central Student
ProQuest Central Essentials
Nucleic Acids Abstracts
SciTech Premium Collection
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest One Applied & Life Sciences
Health Research Premium Collection
Natural Science Collection
Health & Medical Research Collection
Biological Science Collection
Chemoreception Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Virology and AIDS Abstracts
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
Calcium & Calcified Tissue Abstracts
ProQuest One Academic (New)
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central
ProQuest Health & Medical Research Collection
Genetics Abstracts
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
AIDS and Cancer Research Abstracts
ProQuest Central Basic
Toxicology Abstracts
ProQuest Psychology Journals (Alumni)
ProQuest SciTech Collection
ProQuest Medical Library
ProQuest Psychology Journals
Animal Behavior Abstracts
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
ProQuest One Psychology

MEDLINE - Academic
MEDLINE
Neurosciences Abstracts
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Anatomy & Physiology
Computer Science
EISSN 1546-1726
EndPage 313
ExternalDocumentID PMC5457304
4321995763
A482424446
28230848
10_1038_nn_4499
Genre Journal Article
Review
GeographicLocations United States
United States--US
New Jersey
GeographicLocations_xml – name: United States
– name: New Jersey
– name: United States--US
GrantInformation_xml – fundername: NIMH NIH HHS
  grantid: R01 MH069456
– fundername: NEI NIH HHS
  grantid: R01 EY021755
GroupedDBID ---
-DZ
.55
.GJ
0R~
123
29M
2FS
36B
39C
3V.
4.4
53G
5BI
5RE
70F
7X7
85S
88E
8AO
8FI
8FJ
8R4
8R5
AAEEF
AARCD
AAYZH
AAZLF
ABAWZ
ABDBF
ABIVO
ABJNI
ABLJU
ABUWG
ACBWK
ACGFS
ACIWK
ACNCT
ACPRK
ACUHS
ADBBV
AENEX
AFBBN
AFKRA
AFRAH
AFSHS
AGAYW
AGHTU
AHBCP
AHMBA
AHOSX
AHSBF
AIBTJ
ALFFA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
ARMCB
ASPBG
AVWKF
AXYYD
AZFZN
AZQEC
B0M
BBNVY
BENPR
BHPHI
BKKNO
BPHCQ
BVXVI
CCPQU
CS3
D0L
DB5
DU5
DWQXO
EAD
EAP
EBC
EBD
EBS
EE.
EJD
EMB
EMK
EMOBN
EPL
EPS
ESX
EXGXG
F5P
FEDTE
FQGFK
FSGXE
FYUFA
GNUQQ
HCIFZ
HMCUK
HVGLF
HZ~
IAO
IGS
IHR
INH
INR
IPY
ISR
ITC
M1P
M2M
M7P
MVM
N9A
NNMJJ
O9-
ODYON
P2P
PQQKQ
PROAC
PSQYO
PSYQQ
Q2X
RNS
RNT
RNTTT
SHXYY
SIXXV
SNYQT
SOJ
SV3
TAOOD
TBHMF
TDRGL
TSG
TUS
UKHRP
X7M
XJT
YNT
YQT
ZGI
~8M
AAYXX
ABFSG
AETEA
AFANA
AFFHD
AGSTI
ALPWD
ATHPR
CITATION
PHGZM
PHGZT
PJZUB
PPXIY
PQGLB
CGR
CUY
CVF
ECM
EIF
NPM
7QG
7QP
7QR
7TK
7TM
7U7
7U9
7XB
8FD
8FE
8FH
8FK
C1K
FR3
H94
K9.
LK8
P64
PKEHL
PQEST
PQUKI
PRINS
Q9U
RC3
7X8
PUEGO
5PM
ID FETCH-LOGICAL-c531t-edbd93bfdadbfeb0f014cb0e90d2647ec99dd35f5e4b7e592a15946da5c5c4853
IEDL.DBID M7P
ISICitedReferencesCount 149
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000394920400004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1097-6256
1546-1726
IngestDate Tue Nov 04 01:56:46 EST 2025
Sun Nov 09 12:15:16 EST 2025
Thu Oct 02 17:14:03 EDT 2025
Tue Oct 07 05:14:26 EDT 2025
Tue Nov 11 10:19:04 EST 2025
Tue Nov 04 17:51:06 EST 2025
Thu Nov 13 14:50:48 EST 2025
Thu Apr 03 07:08:02 EDT 2025
Sat Nov 29 05:28:41 EST 2025
Tue Nov 18 20:58:50 EST 2025
Fri Feb 21 02:39:30 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
License Reprints and permissions information is available online at http://www.nature.com/reprints/index.html.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c531t-edbd93bfdadbfeb0f014cb0e90d2647ec99dd35f5e4b7e592a15946da5c5c4853
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ORCID 0000-0001-5029-1430
0000-0002-0259-8371
PMID 28230848
PQID 1891851197
PQPubID 44706
PageCount 10
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_5457304
proquest_miscellaneous_1897372275
proquest_miscellaneous_1871549785
proquest_journals_1891851197
gale_infotracmisc_A482424446
gale_infotracacademiconefile_A482424446
gale_incontextgauss_ISR_A482424446
pubmed_primary_28230848
crossref_citationtrail_10_1038_nn_4499
crossref_primary_10_1038_nn_4499
springer_journals_10_1038_nn_4499
PublicationCentury 2000
PublicationDate 2017-03-01
PublicationDateYYYYMMDD 2017-03-01
PublicationDate_xml – month: 03
  year: 2017
  text: 2017-03-01
  day: 01
PublicationDecade 2010
PublicationPlace New York
PublicationPlace_xml – name: New York
– name: United States
PublicationTitle Nature neuroscience
PublicationTitleAbbrev Nat Neurosci
PublicationTitleAlternate Nat Neurosci
PublicationYear 2017
Publisher Nature Publishing Group US
Nature Publishing Group
Publisher_xml – name: Nature Publishing Group US
– name: Nature Publishing Group
References Dubois, Adolphs (CR73) 2016; 20
Yamins, DiCarlo (CR87) 2016; 19
Weiskopf (CR51) 2003; 19
Favila, Chanales, Kuhl (CR39) 2016; 7
Kriegeskorte, Mur, Bandettini (CR29) 2008; 2
Cox (CR11) 2012; 62
Etzel, Zacks, Braver (CR20) 2013; 78
Dale, Buckner (CR7) 1997; 5
Ashburner (CR10) 2012; 62
Boorman, Rajendran, O'Reilly, Behrens (CR64) 2016; 89
Cole (CR79) 2013; 16
Poppenk, Norman (CR35) 2014; 34
St-Laurent, Abdi, Buchsbaum (CR27) 2015; 27
Khaligh-Razavi, Kriegeskorte (CR30) 2014; 10
Anderson (CR85) 1983; 22
Cox, Jesmanowicz, Hyde (CR49) 1995; 33
CR41
Freeman (CR100) 2014; 11
Hsieh, Gruber, Jenkins, Ranganath (CR31) 2014; 81
deCharms (CR44) 2005; 102
Cohen, Dunbar, McClelland (CR86) 1990; 97
Kriegeskorte (CR88) 2015; 1
Schlichting, Mumford, Preston (CR37) 2015; 6
Wang, Hutchinson, Mitchell (CR67) 2003
Poldrack, Halchenko, Hanson (CR69) 2009; 20
deBettencourt, Cohen, Lee, Norman, Turk-Browne (CR48) 2015; 18
Bray, Shimojo, O'Doherty (CR52) 2007; 27
Posner, Petersen, Fox, Raichle (CR4) 1988; 240
Hulbert, Norman (CR34) 2015; 25
Hindy, Ng, Turk-Browne (CR25) 2016; 19
Davis (CR40) 2014; 97
Chan, Niv, Norman (CR32) 2016; 36
Leeds, Tarr (CR57) 2016; 133
Anderson (CR91) 2012; 50
Li (CR46) 2013; 18
Kriegeskorte, Diedrichsen (CR18) 2016; 371
Zeithamova, Dominick, Preston (CR22) 2012; 75
CR65
Kim, Lewis-Peacock, Norman, Turk-Browne (CR23) 2014; 111
Harmelech, Friedman, Malach (CR54) 2015; 35
Bandettini, Wong, Hinks, Tikofsky, Hyde (CR1) 1992; 25
LaConte (CR42) 2011; 56
Hampton, Bossaerts, O'Doherty (CR60) 2008; 105
Gordon, Rissman, Kiani, Wagner (CR24) 2014; 24
Al-Aidroos, Said, Turk-Browne (CR77) 2012; 109
Ogawa (CR3) 1992; 89
Bullmore, Sporns (CR82) 2009; 10
Fornito, Zalesky, Bullmore (CR80) 2010; 4
Chen (CR72) 2017; 20
Todd, Nystrom, Cohen (CR28) 2013; 77
Schnyer (CR45) 2015; 5
Kwong (CR2) 1992; 89
Wang, Cohen, Li, Turk-Browne (CR81) 2015; 251
Milivojevic, Vicente-Grabovetsky, Doeller (CR36) 2015; 25
Smith, Nichols (CR9) 2009; 44
Daw, Gershman, Seymour, Dayan, Dolan (CR61) 2011; 69
CR89
Haxby (CR15) 2001; 293
Tom, Fox, Trepel, Poldrack (CR59) 2007; 315
CR83
Jenkinson, Beckmann, Behrens, Woolrich, Smith (CR13) 2012; 62
Ryali, Supekar, Abrams, Menon (CR19) 2010; 51
Forman (CR8) 1995; 33
Güçlü, van Gerven (CR90) 2015; 35
Goebel (CR12) 2012; 62
Gorgolewski (CR95) 2016; 3
Goddard (CR50) 1997; 11
Doll, Duncan, Simon, Shohamy, Daw (CR63) 2015; 18
Freeman, Brouwer, Heeger, Merriam (CR17) 2011; 31
Shirer, Ryali, Rykhlevskaia, Menon, Greicius (CR78) 2012; 22
Turk-Browne (CR76) 2013; 342
CR14
Daw, Doya (CR58) 2006; 16
Deuker (CR26) 2013; 33
CR99
Yoo (CR56) 2012; 59
CR98
CR97
Sulzer (CR43) 2013; 76
Manning, Ranganath, Norman, Blei (CR75) 2014; 9
CR94
CR93
CR92
Haxby (CR66) 2011; 72
Niv (CR62) 2015; 35
Richter, Chanales, Kuhl (CR68) 2016; 124
Kamitani, Tong (CR16) 2005; 8
Mitchell (CR84) 2008; 320
Finn (CR70) 2015; 18
Rosenberg (CR74) 2016; 19
Emmert (CR55) 2016; 124
Braver (CR6) 1997; 5
Simony (CR96) 2016; 7
Ramot, Grossman, Friedman, Malach (CR53) 2016; 113
Friston (CR5) 1994; 2
Shibata, Watanabe, Sasaki, Kawato (CR47) 2011; 334
Wimber, Alink, Charest, Kriegeskorte, Anderson (CR38) 2015; 18
Schapiro, Kustner, Turk-Browne (CR33) 2012; 22
Wimmer, Shohamy (CR21) 2012; 338
Guntupalli (CR71) 2016; 26
G Kim (BFnn4499_CR23) 2014; 111
PA Bandettini (BFnn4499_CR1) 1992; 25
N Goddard (BFnn4499_CR50) 1997; 11
MD Rosenberg (BFnn4499_CR74) 2016; 19
S-M Khaligh-Razavi (BFnn4499_CR30) 2014; 10
E Bullmore (BFnn4499_CR82) 2009; 10
T Harmelech (BFnn4499_CR54) 2015; 35
X Wang (BFnn4499_CR67) 2003
JS Guntupalli (BFnn4499_CR71) 2016; 26
FR Richter (BFnn4499_CR68) 2016; 124
BFnn4499_CR92
S Bray (BFnn4499_CR52) 2007; 27
L Deuker (BFnn4499_CR26) 2013; 33
BFnn4499_CR94
BFnn4499_CR93
N Kriegeskorte (BFnn4499_CR18) 2016; 371
MT deBettencourt (BFnn4499_CR48) 2015; 18
RW Cox (BFnn4499_CR49) 1995; 33
BFnn4499_CR99
BFnn4499_CR98
S Ogawa (BFnn4499_CR3) 1992; 89
KJ Gorgolewski (BFnn4499_CR95) 2016; 3
BFnn4499_CR97
BFnn4499_CR14
SCY Chan (BFnn4499_CR32) 2016; 36
DD Leeds (BFnn4499_CR57) 2016; 133
ED Boorman (BFnn4499_CR64) 2016; 89
NC Hindy (BFnn4499_CR25) 2016; 19
B Milivojevic (BFnn4499_CR36) 2015; 25
ML Schlichting (BFnn4499_CR37) 2015; 6
J Chen (BFnn4499_CR72) 2017; 20
U Güçlü (BFnn4499_CR90) 2015; 35
BB Doll (BFnn4499_CR63) 2015; 18
BFnn4499_CR41
N Al-Aidroos (BFnn4499_CR77) 2012; 109
JR Anderson (BFnn4499_CR85) 1983; 22
MI Posner (BFnn4499_CR4) 1988; 240
J Ashburner (BFnn4499_CR10) 2012; 62
J Sulzer (BFnn4499_CR43) 2013; 76
T Davis (BFnn4499_CR40) 2014; 97
S Ryali (BFnn4499_CR19) 2010; 51
GE Wimmer (BFnn4499_CR21) 2012; 338
TM Mitchell (BFnn4499_CR84) 2008; 320
RC deCharms (BFnn4499_CR44) 2005; 102
JA Etzel (BFnn4499_CR20) 2013; 78
JJ Yoo (BFnn4499_CR56) 2012; 59
M Jenkinson (BFnn4499_CR13) 2012; 62
RA Poldrack (BFnn4499_CR69) 2009; 20
TS Braver (BFnn4499_CR6) 1997; 5
J Poppenk (BFnn4499_CR35) 2014; 34
Y Kamitani (BFnn4499_CR16) 2005; 8
ND Daw (BFnn4499_CR61) 2011; 69
E Simony (BFnn4499_CR96) 2016; 7
J Freeman (BFnn4499_CR100) 2014; 11
JD Cohen (BFnn4499_CR86) 1990; 97
JC Hulbert (BFnn4499_CR34) 2015; 25
SM LaConte (BFnn4499_CR42) 2011; 56
KJ Friston (BFnn4499_CR5) 1994; 2
L-T Hsieh (BFnn4499_CR31) 2014; 81
ND Daw (BFnn4499_CR58) 2006; 16
BFnn4499_CR65
M St-Laurent (BFnn4499_CR27) 2015; 27
AC Schapiro (BFnn4499_CR33) 2012; 22
SE Favila (BFnn4499_CR39) 2016; 7
SM Smith (BFnn4499_CR9) 2009; 44
A Fornito (BFnn4499_CR80) 2010; 4
AM Dale (BFnn4499_CR7) 1997; 5
MT Todd (BFnn4499_CR28) 2013; 77
MW Cole (BFnn4499_CR79) 2013; 16
K Shibata (BFnn4499_CR47) 2011; 334
N Kriegeskorte (BFnn4499_CR88) 2015; 1
AM Gordon (BFnn4499_CR24) 2014; 24
JV Haxby (BFnn4499_CR15) 2001; 293
NB Turk-Browne (BFnn4499_CR76) 2013; 342
D Zeithamova (BFnn4499_CR22) 2012; 75
X Li (BFnn4499_CR46) 2013; 18
M Ramot (BFnn4499_CR53) 2016; 113
SM Tom (BFnn4499_CR59) 2007; 315
Y Wang (BFnn4499_CR81) 2015; 251
J Dubois (BFnn4499_CR73) 2016; 20
N Kriegeskorte (BFnn4499_CR29) 2008; 2
JV Haxby (BFnn4499_CR66) 2011; 72
RW Cox (BFnn4499_CR11) 2012; 62
SD Forman (BFnn4499_CR8) 1995; 33
ES Finn (BFnn4499_CR70) 2015; 18
N Weiskopf (BFnn4499_CR51) 2003; 19
J Freeman (BFnn4499_CR17) 2011; 31
DM Schnyer (BFnn4499_CR45) 2015; 5
BFnn4499_CR83
DLK Yamins (BFnn4499_CR87) 2016; 19
BFnn4499_CR89
R Goebel (BFnn4499_CR12) 2012; 62
WR Shirer (BFnn4499_CR78) 2012; 22
KK Kwong (BFnn4499_CR2) 1992; 89
M Wimber (BFnn4499_CR38) 2015; 18
JR Anderson (BFnn4499_CR91) 2012; 50
AN Hampton (BFnn4499_CR60) 2008; 105
Y Niv (BFnn4499_CR62) 2015; 35
K Emmert (BFnn4499_CR55) 2016; 124
JR Manning (BFnn4499_CR75) 2014; 9
17626211 - J Neurosci. 2007 Jul 11;27(28):7498-507
19104670 - Front Syst Neurosci. 2008 Nov 24;2:4
26973168 - Neuroimage. 2016 Jun;133:529-48
24305832 - J Neurosci. 2013 Dec 4;33(49):19373-83
9038284 - Neuroimage. 1997 Jan;5(1):49-62
20188193 - Neuroimage. 2010 Jun;51(2):752-64
24179218 - Science. 2013 Nov 1;342(6158):580-4
12880789 - Neuroimage. 2003 Jul;19(3):577-86
7596267 - Magn Reson Med. 1995 May;33(5):636-47
18501637 - Neuroimage. 2009 Jan 1;44(1):83-98
1631079 - Proc Natl Acad Sci U S A. 1992 Jul 1;89(13):5951-5
1608978 - Proc Natl Acad Sci U S A. 1992 Jun 15;89(12):5675-9
23921785 - Cereb Cortex. 2014 Dec;24(12):3350-64
23066083 - Science. 2012 Oct 12;338(6104):270-3
27925613 - Nat Commun. 2016 Apr 06;7:11066
19190637 - Nat Rev Neurosci. 2009 Mar;10(3):186-98
21889996 - Neuroimage. 2012 Aug 15;62(2):743-7
26906502 - Nat Neurosci. 2016 Mar;19(3):356-65
21821136 - Neuroimage. 2012 Jan 2;59(1):846-52
22017997 - Neuron. 2011 Oct 20;72(2):404-16
27326542 - Sci Data. 2016 Jun 21;3:160044
20592949 - Front Syst Neurosci. 2010 Jun 17;4:22
26157000 - J Neurosci. 2015 Jul 8;35(27):10005-14
25477369 - Cereb Cortex. 2015 Oct;25(10 ):3994-4008
15852014 - Nat Neurosci. 2005 May;8(5):679-85
22908274 - Proc Natl Acad Sci U S A. 2012 Sep 4;109(36):14675-80
27282108 - Sci Rep. 2016 Jun 10;6:27755
24607234 - Neuron. 2014 Mar 5;81(5):1165-78
19883493 - Psychol Sci. 2009 Nov;20(11):1364-72
25068736 - Nat Methods. 2014 Sep;11(9):941-50
23558095 - Neuroimage. 2013 Aug 15;77:157-65
16352728 - Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18626-31
26980615 - Cereb Cortex. 2016 Jun;26(6):2919-2934
2200075 - Psychol Rev. 1990 Jul;97(3):332-61
1614324 - Magn Reson Med. 1992 Jun;25(2):390-7
26004849 - J Neurosci Methods. 2015 Aug 15;251:108-19
27287487 - J Comput Neurosci. 2016 Aug;41(1):1-14
26019331 - J Neurosci. 2015 May 27;35(21):8145-57
7707914 - Magn Reson Med. 1995 Feb;33(2):230-6
24804795 - PLoS One. 2014 May 07;9(5):e94914
22023741 - Neuroimage. 2012 Aug 15;62(2):791-800
22458676 - Addict Biol. 2013 Jul;18(4):739-48
27918531 - Nat Neurosci. 2017 Jan;20(1):115-125
25799041 - Nat Neurosci. 2015 May;18(5):767-72
21435563 - Neuron. 2011 Mar 24;69(6):1204-15
27466328 - J Neurosci. 2016 Jul 27;36(30):7817-28
23558106 - Neuroimage. 2013 Sep;78:261-9
22794270 - Neuron. 2012 Jul 12;75(1):168-79
24889631 - Proc Natl Acad Sci U S A. 2014 Jun 17;111(24):8997-9002
17255512 - Science. 2007 Jan 26;315(5811):515-8
25728693 - Curr Biol. 2015 Mar 30;25(7):821-30
21451017 - J Neurosci. 2011 Mar 30;31(13):4792-804
22158821 - Science. 2011 Dec 9;334(6061):1413-5
26457551 - Nat Neurosci. 2015 Nov;18(11):1664-71
21820455 - Neuropsychologia. 2012 Mar;50(4):487-98
26595653 - Nat Neurosci. 2016 Jan;19(1):165-71
18427116 - Proc Natl Acad Sci U S A. 2008 May 6;105(18):6741-6
27424918 - Nat Commun. 2016 Jul 18;7:12141
25664913 - Nat Neurosci. 2015 Mar;18(3):470-5
27138646 - Trends Cogn Sci. 2016 Jun;20(6):425-43
18511683 - Science. 2008 May 30;320(5880):1191-5
22885059 - Curr Biol. 2012 Sep 11;22(17):1622-7
26303198 - Nat Commun. 2015 Aug 25;6:8151
27065363 - Nat Neurosci. 2016 May;19(5):665-7
23892552 - Nat Neurosci. 2013 Sep;16(9):1348-55
26327243 - Neuroimage. 2016 Jan 1;124(Pt A):323-35
25774450 - Nat Neurosci. 2015 Apr;18(4):582-9
25375136 - PLoS Comput Biol. 2014 Nov 06;10(11):e1003915
26102224 - J Cogn Neurosci. 2015 Oct;27(10):2000-18
22289803 - Neuroimage. 2012 Aug 15;62(2):748-56
28532370 - Annu Rev Vis Sci. 2015 Nov 24;1:417-446
21616982 - Cereb Cortex. 2012 Jan;22(1):158-65
25673851 - J Neurosci. 2015 Feb 11;35(6):2588-95
3289116 - Science. 1988 Jun 17;240(4859):1627-31
23541800 - Neuroimage. 2013 Aug 1;76:386-99
20408237 - Hum Brain Mapp. 1997;5(5):329-40
24899722 - J Neurosci. 2014 Jun 4;34(23):8010-20
16563737 - Curr Opin Neurobiol. 2006 Apr;16(2):199-204
21979382 - Neuroimage. 2012 Aug 15;62(2):782-90
20600972 - Neuroimage. 2011 May 15;56(2):440-54
25905002 - Biol Mood Anxiety Disord. 2015 Apr 18;5:1
27574316 - Philos Trans R Soc Lond B Biol Sci. 2016 Oct 5;371(1705)
27071084 - Proc Natl Acad Sci U S A. 2016 Apr 26;113(17 ):E2413-20
26419389 - Neuroimage. 2016 Jan 1;124(Pt A):806-12
24768930 - Neuroimage. 2014 Aug 15;97:271-83
11577229 - Science. 2001 Sep 28;293(5539):2425-30
26948895 - Neuron. 2016 Mar 16;89(6):1343-54
References_xml – volume: 56
  start-page: 440
  year: 2011
  end-page: 454
  ident: CR42
  article-title: Decoding fMRI brain states in real-time
  publication-title: Neuroimage
– volume: 342
  start-page: 580
  year: 2013
  end-page: 584
  ident: CR76
  article-title: Functional interactions as big data in the human brain
  publication-title: Science
– ident: CR97
– volume: 334
  start-page: 1413
  year: 2011
  end-page: 1415
  ident: CR47
  article-title: Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation
  publication-title: Science
– volume: 72
  start-page: 404
  year: 2011
  end-page: 416
  ident: CR66
  article-title: A common, high-dimensional model of the representational space in human ventral temporal cortex
  publication-title: Neuron
– volume: 35
  start-page: 2588
  year: 2015
  end-page: 2595
  ident: CR54
  article-title: Differential magnetic resonance neurofeedback modulations across extrinsic (visual) and intrinsic (default-mode) nodes of the human cortex
  publication-title: J. Neurosci.
– volume: 27
  start-page: 2000
  year: 2015
  end-page: 2018
  ident: CR27
  article-title: Distributed patterns of reactivation predict vividness of recollection
  publication-title: J. Cogn. Neurosci.
– volume: 22
  start-page: 158
  year: 2012
  end-page: 165
  ident: CR78
  article-title: Decoding subject-driven cognitive states with whole-brain connectivity patterns
  publication-title: Cereb. Cortex
– volume: 22
  start-page: 1622
  year: 2012
  end-page: 1627
  ident: CR33
  article-title: Shaping of object representations in the human medial temporal lobe based on temporal regularities
  publication-title: Curr. Biol.
– volume: 16
  start-page: 1348
  year: 2013
  end-page: 1355
  ident: CR79
  article-title: Multi-task connectivity reveals flexible hubs for adaptive task control
  publication-title: Nat. Neurosci.
– volume: 111
  start-page: 8997
  year: 2014
  end-page: 9002
  ident: CR23
  article-title: Pruning of memories by context-based prediction error
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 19
  start-page: 165
  year: 2016
  end-page: 171
  ident: CR74
  article-title: A neuromarker of sustained attention from whole-brain functional connectivity
  publication-title: Nat. Neurosci.
– ident: CR92
– volume: 8
  start-page: 679
  year: 2005
  end-page: 685
  ident: CR16
  article-title: Decoding the visual and subjective contents of the human brain
  publication-title: Nat. Neurosci.
– volume: 113
  start-page: E2413
  year: 2016
  end-page: E2420
  ident: CR53
  article-title: Covert neurofeedback without awareness shapes cortical network spontaneous connectivity
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 89
  start-page: 1343
  year: 2016
  end-page: 1354
  ident: CR64
  article-title: Two anatomically and computationally distinct learning signals predict changes to stimulus-outcome associations in hippocampus
  publication-title: Neuron
– volume: 11
  start-page: 295
  year: 1997
  end-page: 318
  ident: CR50
  article-title: Online analysis of functional MRI datasets on parallel platforms
  publication-title: J. Supercomput.
– volume: 19
  start-page: 665
  year: 2016
  end-page: 667
  ident: CR25
  article-title: Linking pattern completion in the hippocampus to predictive coding in visual cortex
  publication-title: Nat. Neurosci.
– volume: 33
  start-page: 230
  year: 1995
  end-page: 236
  ident: CR49
  article-title: Real-time functional magnetic resonance imaging
  publication-title: Magn. Reson. Med.
– volume: 62
  start-page: 791
  year: 2012
  end-page: 800
  ident: CR10
  article-title: SPM: a history
  publication-title: Neuroimage
– volume: 77
  start-page: 157
  year: 2013
  end-page: 165
  ident: CR28
  article-title: Confounds in multivariate pattern analysis: theory and rule representation case study
  publication-title: Neuroimage
– volume: 10
  start-page: 186
  year: 2009
  end-page: 198
  ident: CR82
  article-title: Complex brain networks: graph theoretical analysis of structural and functional systems
  publication-title: Nat. Rev. Neurosci.
– volume: 62
  start-page: 782
  year: 2012
  end-page: 790
  ident: CR13
  article-title: FSL
  publication-title: Neuroimage
– volume: 7
  start-page: 11066
  year: 2016
  ident: CR39
  article-title: Experience-dependent hippocampal pattern differentiation prevents interference during subsequent learning
  publication-title: Nat. Commun.
– volume: 20
  start-page: 425
  year: 2016
  end-page: 443
  ident: CR73
  article-title: Building a science of individual differences from fMRI
  publication-title: Trends Cogn. Sci.
– volume: 25
  start-page: 3994
  year: 2015
  end-page: 4008
  ident: CR34
  article-title: Neural differentiation tracks improved recall of competing memories following interleaved study and retrieval practice
  publication-title: Cereb. Cortex
– volume: 26
  start-page: 2919
  year: 2016
  end-page: 2934
  ident: CR71
  article-title: A model of representational spaces in human cortex
  publication-title: Cereb. Cortex
– ident: CR89
– volume: 124
  start-page: 323
  year: 2016
  end-page: 335
  ident: CR68
  article-title: Predicting the integration of overlapping memories by decoding mnemonic processing states during learning
  publication-title: Neuroimage
– volume: 11
  start-page: 941
  year: 2014
  end-page: 950
  ident: CR100
  article-title: Mapping brain activity at scale with cluster computing
  publication-title: Nat. Methods
– volume: 124
  start-page: 806
  issue: Pt A
  year: 2016
  end-page: 812
  ident: CR55
  article-title: Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: how is brain regulation mediated?
  publication-title: Neuroimage
– volume: 3
  start-page: 160044
  year: 2016
  ident: CR95
  article-title: The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
  publication-title: Sci. Data
– ident: CR94
– volume: 18
  start-page: 470
  year: 2015
  end-page: 475
  ident: CR48
  article-title: Closed-loop training of attention with real-time brain imaging
  publication-title: Nat. Neurosci.
– volume: 293
  start-page: 2425
  year: 2001
  end-page: 2430
  ident: CR15
  article-title: Distributed and overlapping representations of faces and objects in ventral temporal cortex
  publication-title: Science
– volume: 44
  start-page: 83
  year: 2009
  end-page: 98
  ident: CR9
  article-title: Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference
  publication-title: Neuroimage
– volume: 2
  start-page: 4
  year: 2008
  ident: CR29
  article-title: Representational similarity analysis - connecting the branches of systems neuroscience
  publication-title: Front. Syst. Neurosci.
– volume: 18
  start-page: 1664
  year: 2015
  end-page: 1671
  ident: CR70
  article-title: Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
  publication-title: Nat. Neurosci.
– volume: 109
  start-page: 14675
  year: 2012
  end-page: 14680
  ident: CR77
  article-title: Top-down attention switches coupling between low-level and high-level areas of human visual cortex
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 5
  start-page: 329
  year: 1997
  end-page: 340
  ident: CR7
  article-title: Selective averaging of rapidly presented individual trials using fMRI
  publication-title: Hum. Brain Mapp.
– volume: 76
  start-page: 386
  year: 2013
  end-page: 399
  ident: CR43
  article-title: Real-time fMRI neurofeedback: progress and challenges
  publication-title: Neuroimage
– volume: 105
  start-page: 6741
  year: 2008
  end-page: 6746
  ident: CR60
  article-title: Neural correlates of mentalizing-related computations during strategic interactions in humans
  publication-title: Proc. Natl. Acad. Sci. USA
– year: 2003
  ident: CR67
  article-title: Training fMRI classifiers to discriminate cognitive states across multiple subjects
  publication-title: Advances in Neural Information Processing Systems
– ident: CR83
– ident: CR41
– volume: 20
  start-page: 1364
  year: 2009
  end-page: 1372
  ident: CR69
  article-title: Decoding the large-scale structure of brain function by classifying mental States across individuals
  publication-title: Psychol. Sci.
– volume: 5
  start-page: 1
  year: 2015
  ident: CR45
  article-title: Neurocognitive therapeutics: from concept to application in the treatment of negative attention bias
  publication-title: Biol. Mood Anxiety Disord.
– volume: 7
  start-page: 12141
  year: 2016
  ident: CR96
  article-title: Dynamic reconfiguration of the default mode network during narrative comprehension
  publication-title: Nat. Commun.
– ident: CR93
– volume: 25
  start-page: 821
  year: 2015
  end-page: 830
  ident: CR36
  article-title: Insight reconfigures hippocampal-prefrontal memories
  publication-title: Curr. Biol.
– volume: 22
  start-page: 261
  year: 1983
  end-page: 295
  ident: CR85
  article-title: A spreading activation theory of memory
  publication-title: J. Verbal Learn. Verbal Behav.
– volume: 4
  start-page: 22
  year: 2010
  ident: CR80
  article-title: Network scaling effects in graph analytic studies of human resting-state fMRI data
  publication-title: Front. Syst. Neurosci.
– volume: 89
  start-page: 5675
  year: 1992
  end-page: 5679
  ident: CR2
  article-title: Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 62
  start-page: 743
  year: 2012
  end-page: 747
  ident: CR11
  article-title: AFNI: what a long strange trip it's been
  publication-title: Neuroimage
– volume: 320
  start-page: 1191
  year: 2008
  end-page: 1195
  ident: CR84
  article-title: Predicting human brain activity associated with the meanings of nouns
  publication-title: Science
– volume: 6
  start-page: 8151
  year: 2015
  ident: CR37
  article-title: Learning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortex
  publication-title: Nat. Commun.
– volume: 19
  start-page: 356
  year: 2016
  end-page: 365
  ident: CR87
  article-title: Using goal-driven deep learning models to understand sensory cortex
  publication-title: Nat. Neurosci.
– volume: 251
  start-page: 108
  year: 2015
  end-page: 119
  ident: CR81
  article-title: Full correlation matrix analysis (FCMA): an unbiased method for task-related functional connectivity
  publication-title: J. Neurosci. Methods
– volume: 33
  start-page: 636
  year: 1995
  end-page: 647
  ident: CR8
  article-title: Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold
  publication-title: Magn. Reson. Med.
– volume: 24
  start-page: 3350
  year: 2014
  end-page: 3364
  ident: CR24
  article-title: Cortical reinstatement mediates the relationship between content-specific encoding activity and subsequent recollection decisions
  publication-title: Cereb. Cortex
– volume: 97
  start-page: 332
  year: 1990
  end-page: 361
  ident: CR86
  article-title: On the control of automatic processes: a parallel distributed processing account of the Stroop effect
  publication-title: Psychol. Rev.
– volume: 59
  start-page: 846
  year: 2012
  end-page: 852
  ident: CR56
  article-title: When the brain is prepared to learn: enhancing human learning using real-time fMRI
  publication-title: Neuroimage
– volume: 35
  start-page: 8145
  year: 2015
  end-page: 8157
  ident: CR62
  article-title: Reinforcement learning in multidimensional environments relies on attention mechanisms
  publication-title: J. Neurosci.
– volume: 315
  start-page: 515
  year: 2007
  end-page: 518
  ident: CR59
  article-title: The neural basis of loss aversion in decision-making under risk
  publication-title: Science
– volume: 69
  start-page: 1204
  year: 2011
  end-page: 1215
  ident: CR61
  article-title: Model-based influences on humans' choices and striatal prediction errors
  publication-title: Neuron
– volume: 33
  start-page: 19373
  year: 2013
  end-page: 19383
  ident: CR26
  article-title: Memory consolidation by replay of stimulus-specific neural activity
  publication-title: J. Neurosci.
– volume: 27
  start-page: 7498
  year: 2007
  end-page: 7507
  ident: CR52
  article-title: Direct instrumental conditioning of neural activity using functional magnetic resonance imaging-derived reward feedback
  publication-title: J. Neurosci.
– volume: 51
  start-page: 752
  year: 2010
  end-page: 764
  ident: CR19
  article-title: Sparse logistic regression for whole-brain classification of fMRI data
  publication-title: Neuroimage
– volume: 10
  start-page: e1003915
  year: 2014
  ident: CR30
  article-title: Deep supervised, but not unsupervised, models may explain IT cortical representation
  publication-title: PLoS Comput. Biol.
– volume: 34
  start-page: 8010
  year: 2014
  end-page: 8020
  ident: CR35
  article-title: Briefly cuing memories leads to suppression of their neural representations
  publication-title: J. Neurosci.
– volume: 20
  start-page: 115
  year: 2017
  end-page: 125
  ident: CR72
  article-title: Shared memories reveal shared structure in neural activity across individuals
  publication-title: Nat. Neurosci.
– volume: 25
  start-page: 390
  year: 1992
  end-page: 397
  ident: CR1
  article-title: Time course EPI of human brain function during task activation
  publication-title: Magn. Reson. Med.
– volume: 62
  start-page: 748
  year: 2012
  end-page: 756
  ident: CR12
  article-title: BrainVoyager--past, present, future
  publication-title: Neuroimage
– ident: CR99
– volume: 78
  start-page: 261
  year: 2013
  end-page: 269
  ident: CR20
  article-title: Searchlight analysis: promise, pitfalls, and potential
  publication-title: Neuroimage
– volume: 102
  start-page: 18626
  year: 2005
  end-page: 18631
  ident: CR44
  article-title: Control over brain activation and pain learned by using real-time functional MRI
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 19
  start-page: 577
  year: 2003
  end-page: 586
  ident: CR51
  article-title: Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data
  publication-title: Neuroimage
– volume: 50
  start-page: 487
  year: 2012
  end-page: 498
  ident: CR91
  article-title: Tracking problem solving by multivariate pattern analysis and Hidden Markov Model algorithms
  publication-title: Neuropsychologia
– volume: 5
  start-page: 49
  year: 1997
  end-page: 62
  ident: CR6
  article-title: A parametric study of prefrontal cortex involvement in human working memory
  publication-title: Neuroimage
– volume: 75
  start-page: 168
  year: 2012
  end-page: 179
  ident: CR22
  article-title: Hippocampal and ventral medial prefrontal activation during retrieval-mediated learning supports novel inference
  publication-title: Neuron
– volume: 9
  start-page: e94914
  year: 2014
  ident: CR75
  article-title: Topographic factor analysis: a Bayesian model for inferring brain networks from neural data
  publication-title: PLoS One
– ident: CR14
– volume: 1
  start-page: 417
  year: 2015
  end-page: 446
  ident: CR88
  article-title: Deep neural networks: a new framework for modeling biological vision and brain information processing
  publication-title: Annu. Rev. Vis. Sci.
– volume: 31
  start-page: 4792
  year: 2011
  end-page: 4804
  ident: CR17
  article-title: Orientation decoding depends on maps, not columns
  publication-title: J. Neurosci.
– volume: 16
  start-page: 199
  year: 2006
  end-page: 204
  ident: CR58
  article-title: The computational neurobiology of learning and reward
  publication-title: Curr. Opin. Neurobiol.
– ident: CR98
– volume: 338
  start-page: 270
  year: 2012
  end-page: 273
  ident: CR21
  article-title: Preference by association: how memory mechanisms in the hippocampus bias decisions
  publication-title: Science
– volume: 36
  start-page: 7817
  year: 2016
  end-page: 7828
  ident: CR32
  article-title: A probability distribution over latent causes, in the orbitofrontal cortex
  publication-title: J. Neurosci.
– volume: 2
  start-page: 189
  year: 1994
  end-page: 210
  ident: CR5
  article-title: Statistical parametric maps in functional imaging: a general linear approach
  publication-title: Hum. Brain Mapp.
– volume: 97
  start-page: 271
  year: 2014
  end-page: 283
  ident: CR40
  article-title: What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis
  publication-title: Neuroimage
– volume: 18
  start-page: 739
  year: 2013
  end-page: 748
  ident: CR46
  article-title: Volitional reduction of anterior cingulate cortex activity produces decreased cue craving in smoking cessation: a preliminary real-time fMRI study
  publication-title: Addict. Biol.
– ident: CR65
– volume: 89
  start-page: 5951
  year: 1992
  end-page: 5955
  ident: CR3
  article-title: Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 18
  start-page: 767
  year: 2015
  end-page: 772
  ident: CR63
  article-title: Model-based choices involve prospective neural activity
  publication-title: Nat. Neurosci.
– volume: 35
  start-page: 10005
  year: 2015
  end-page: 10014
  ident: CR90
  article-title: Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream
  publication-title: J. Neurosci.
– volume: 18
  start-page: 582
  year: 2015
  end-page: 589
  ident: CR38
  article-title: Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression
  publication-title: Nat. Neurosci.
– volume: 240
  start-page: 1627
  year: 1988
  end-page: 1631
  ident: CR4
  article-title: Localization of cognitive operations in the human brain
  publication-title: Science
– volume: 81
  start-page: 1165
  year: 2014
  end-page: 1178
  ident: CR31
  article-title: Hippocampal activity patterns carry information about objects in temporal context
  publication-title: Neuron
– volume: 371
  start-page: 20160278
  year: 2016
  ident: CR18
  article-title: Inferring brain-computational mechanisms with models of activity measurements
  publication-title: Phil. Trans. R. Soc. B
– volume: 133
  start-page: 529
  year: 2016
  end-page: 548
  ident: CR57
  article-title: A method for real-time visual stimulus selection in the study of cortical object perception
  publication-title: Neuroimage
– volume: 22
  start-page: 261
  year: 1983
  ident: BFnn4499_CR85
  publication-title: J. Verbal Learn. Verbal Behav.
  doi: 10.1016/S0022-5371(83)90201-3
– volume: 33
  start-page: 636
  year: 1995
  ident: BFnn4499_CR8
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.1910330508
– volume: 16
  start-page: 199
  year: 2006
  ident: BFnn4499_CR58
  publication-title: Curr. Opin. Neurobiol.
  doi: 10.1016/j.conb.2006.03.006
– ident: BFnn4499_CR97
  doi: 10.1109/BigData.2016.7840728
– volume: 18
  start-page: 470
  year: 2015
  ident: BFnn4499_CR48
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.3940
– volume: 20
  start-page: 115
  year: 2017
  ident: BFnn4499_CR72
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4450
– volume: 18
  start-page: 739
  year: 2013
  ident: BFnn4499_CR46
  publication-title: Addict. Biol.
  doi: 10.1111/j.1369-1600.2012.00449.x
– volume: 240
  start-page: 1627
  year: 1988
  ident: BFnn4499_CR4
  publication-title: Science
  doi: 10.1126/science.3289116
– ident: BFnn4499_CR65
– volume: 20
  start-page: 1364
  year: 2009
  ident: BFnn4499_CR69
  publication-title: Psychol. Sci.
  doi: 10.1111/j.1467-9280.2009.02460.x
– volume: 62
  start-page: 782
  year: 2012
  ident: BFnn4499_CR13
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2011.09.015
– volume: 320
  start-page: 1191
  year: 2008
  ident: BFnn4499_CR84
  publication-title: Science
  doi: 10.1126/science.1152876
– volume: 342
  start-page: 580
  year: 2013
  ident: BFnn4499_CR76
  publication-title: Science
  doi: 10.1126/science.1238409
– volume: 11
  start-page: 941
  year: 2014
  ident: BFnn4499_CR100
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.3041
– volume: 89
  start-page: 1343
  year: 2016
  ident: BFnn4499_CR64
  publication-title: Neuron
  doi: 10.1016/j.neuron.2016.02.014
– volume: 50
  start-page: 487
  year: 2012
  ident: BFnn4499_CR91
  publication-title: Neuropsychologia
  doi: 10.1016/j.neuropsychologia.2011.07.025
– volume: 35
  start-page: 8145
  year: 2015
  ident: BFnn4499_CR62
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.2978-14.2015
– volume: 19
  start-page: 577
  year: 2003
  ident: BFnn4499_CR51
  publication-title: Neuroimage
  doi: 10.1016/S1053-8119(03)00145-9
– volume: 33
  start-page: 19373
  year: 2013
  ident: BFnn4499_CR26
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.0414-13.2013
– volume: 31
  start-page: 4792
  year: 2011
  ident: BFnn4499_CR17
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.5160-10.2011
– ident: BFnn4499_CR94
– volume: 97
  start-page: 332
  year: 1990
  ident: BFnn4499_CR86
  publication-title: Psychol. Rev.
  doi: 10.1037/0033-295X.97.3.332
– volume: 8
  start-page: 679
  year: 2005
  ident: BFnn4499_CR16
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn1444
– volume: 27
  start-page: 2000
  year: 2015
  ident: BFnn4499_CR27
  publication-title: J. Cogn. Neurosci.
  doi: 10.1162/jocn_a_00839
– volume: 62
  start-page: 743
  year: 2012
  ident: BFnn4499_CR11
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2011.08.056
– volume: 133
  start-page: 529
  year: 2016
  ident: BFnn4499_CR57
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.02.071
– volume: 338
  start-page: 270
  year: 2012
  ident: BFnn4499_CR21
  publication-title: Science
  doi: 10.1126/science.1223252
– volume: 19
  start-page: 356
  year: 2016
  ident: BFnn4499_CR87
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4244
– volume: 56
  start-page: 440
  year: 2011
  ident: BFnn4499_CR42
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2010.06.052
– volume: 251
  start-page: 108
  year: 2015
  ident: BFnn4499_CR81
  publication-title: J. Neurosci. Methods
  doi: 10.1016/j.jneumeth.2015.05.012
– volume: 34
  start-page: 8010
  year: 2014
  ident: BFnn4499_CR35
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.4584-13.2014
– ident: BFnn4499_CR41
  doi: 10.1101/032391
– volume: 105
  start-page: 6741
  year: 2008
  ident: BFnn4499_CR60
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.0711099105
– volume: 9
  start-page: e94914
  year: 2014
  ident: BFnn4499_CR75
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0094914
– ident: BFnn4499_CR99
– volume: 113
  start-page: E2413
  year: 2016
  ident: BFnn4499_CR53
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1516857113
– volume-title: Advances in Neural Information Processing Systems
  year: 2003
  ident: BFnn4499_CR67
– volume: 111
  start-page: 8997
  year: 2014
  ident: BFnn4499_CR23
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1319438111
– volume: 18
  start-page: 767
  year: 2015
  ident: BFnn4499_CR63
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.3981
– volume: 62
  start-page: 748
  year: 2012
  ident: BFnn4499_CR12
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2012.01.083
– volume: 35
  start-page: 2588
  year: 2015
  ident: BFnn4499_CR54
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.3098-14.2015
– volume: 77
  start-page: 157
  year: 2013
  ident: BFnn4499_CR28
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.03.039
– volume: 4
  start-page: 22
  year: 2010
  ident: BFnn4499_CR80
  publication-title: Front. Syst. Neurosci.
– volume: 22
  start-page: 158
  year: 2012
  ident: BFnn4499_CR78
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhr099
– volume: 78
  start-page: 261
  year: 2013
  ident: BFnn4499_CR20
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.03.041
– volume: 2
  start-page: 4
  year: 2008
  ident: BFnn4499_CR29
  publication-title: Front. Syst. Neurosci.
  doi: 10.3389/neuro.01.016.2008
– volume: 124
  start-page: 806
  issue: Pt A
  year: 2016
  ident: BFnn4499_CR55
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2015.09.042
– volume: 51
  start-page: 752
  year: 2010
  ident: BFnn4499_CR19
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2010.02.040
– volume: 59
  start-page: 846
  year: 2012
  ident: BFnn4499_CR56
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2011.07.063
– ident: BFnn4499_CR14
  doi: 10.7551/mitpress/9504.003.0099
– volume: 109
  start-page: 14675
  year: 2012
  ident: BFnn4499_CR77
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1202095109
– volume: 33
  start-page: 230
  year: 1995
  ident: BFnn4499_CR49
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.1910330213
– volume: 371
  start-page: 20160278
  year: 2016
  ident: BFnn4499_CR18
  publication-title: Phil. Trans. R. Soc. B
  doi: 10.1098/rstb.2016.0278
– ident: BFnn4499_CR89
  doi: 10.1038/srep27755
– volume: 75
  start-page: 168
  year: 2012
  ident: BFnn4499_CR22
  publication-title: Neuron
  doi: 10.1016/j.neuron.2012.05.010
– volume: 25
  start-page: 821
  year: 2015
  ident: BFnn4499_CR36
  publication-title: Curr. Biol.
  doi: 10.1016/j.cub.2015.01.033
– volume: 76
  start-page: 386
  year: 2013
  ident: BFnn4499_CR43
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.03.033
– volume: 315
  start-page: 515
  year: 2007
  ident: BFnn4499_CR59
  publication-title: Science
  doi: 10.1126/science.1134239
– volume: 62
  start-page: 791
  year: 2012
  ident: BFnn4499_CR10
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2011.10.025
– ident: BFnn4499_CR92
  doi: 10.1145/2807591.2807631
– volume: 25
  start-page: 390
  year: 1992
  ident: BFnn4499_CR1
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.1910250220
– volume: 3
  start-page: 160044
  year: 2016
  ident: BFnn4499_CR95
  publication-title: Sci. Data
  doi: 10.1038/sdata.2016.44
– volume: 81
  start-page: 1165
  year: 2014
  ident: BFnn4499_CR31
  publication-title: Neuron
  doi: 10.1016/j.neuron.2014.01.015
– volume: 72
  start-page: 404
  year: 2011
  ident: BFnn4499_CR66
  publication-title: Neuron
  doi: 10.1016/j.neuron.2011.08.026
– ident: BFnn4499_CR98
– volume: 22
  start-page: 1622
  year: 2012
  ident: BFnn4499_CR33
  publication-title: Curr. Biol.
  doi: 10.1016/j.cub.2012.06.056
– volume: 10
  start-page: e1003915
  year: 2014
  ident: BFnn4499_CR30
  publication-title: PLoS Comput. Biol.
  doi: 10.1371/journal.pcbi.1003915
– volume: 97
  start-page: 271
  year: 2014
  ident: BFnn4499_CR40
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2014.04.037
– volume: 334
  start-page: 1413
  year: 2011
  ident: BFnn4499_CR47
  publication-title: Science
  doi: 10.1126/science.1212003
– volume: 24
  start-page: 3350
  year: 2014
  ident: BFnn4499_CR24
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bht194
– volume: 124
  start-page: 323
  year: 2016
  ident: BFnn4499_CR68
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2015.08.051
– volume: 19
  start-page: 665
  year: 2016
  ident: BFnn4499_CR25
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4284
– volume: 26
  start-page: 2919
  year: 2016
  ident: BFnn4499_CR71
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhw068
– volume: 44
  start-page: 83
  year: 2009
  ident: BFnn4499_CR9
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2008.03.061
– volume: 20
  start-page: 425
  year: 2016
  ident: BFnn4499_CR73
  publication-title: Trends Cogn. Sci.
  doi: 10.1016/j.tics.2016.03.014
– volume: 11
  start-page: 295
  year: 1997
  ident: BFnn4499_CR50
  publication-title: J. Supercomput.
  doi: 10.1023/A:1007964009986
– volume: 27
  start-page: 7498
  year: 2007
  ident: BFnn4499_CR52
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.2118-07.2007
– volume: 25
  start-page: 3994
  year: 2015
  ident: BFnn4499_CR34
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhu284
– volume: 16
  start-page: 1348
  year: 2013
  ident: BFnn4499_CR79
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.3470
– volume: 89
  start-page: 5675
  year: 1992
  ident: BFnn4499_CR2
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.89.12.5675
– volume: 89
  start-page: 5951
  year: 1992
  ident: BFnn4499_CR3
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.89.13.5951
– ident: BFnn4499_CR93
  doi: 10.1109/BigData.2016.7840719
– volume: 5
  start-page: 329
  year: 1997
  ident: BFnn4499_CR7
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/(SICI)1097-0193(1997)5:5<329::AID-HBM1>3.0.CO;2-5
– volume: 2
  start-page: 189
  year: 1994
  ident: BFnn4499_CR5
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.460020402
– volume: 36
  start-page: 7817
  year: 2016
  ident: BFnn4499_CR32
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.0659-16.2016
– volume: 5
  start-page: 49
  year: 1997
  ident: BFnn4499_CR6
  publication-title: Neuroimage
  doi: 10.1006/nimg.1996.0247
– volume: 18
  start-page: 582
  year: 2015
  ident: BFnn4499_CR38
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.3973
– volume: 35
  start-page: 10005
  year: 2015
  ident: BFnn4499_CR90
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.5023-14.2015
– volume: 102
  start-page: 18626
  year: 2005
  ident: BFnn4499_CR44
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.0505210102
– volume: 18
  start-page: 1664
  year: 2015
  ident: BFnn4499_CR70
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4135
– volume: 6
  start-page: 8151
  year: 2015
  ident: BFnn4499_CR37
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms9151
– volume: 19
  start-page: 165
  year: 2016
  ident: BFnn4499_CR74
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4179
– volume: 1
  start-page: 417
  year: 2015
  ident: BFnn4499_CR88
  publication-title: Annu. Rev. Vis. Sci.
  doi: 10.1146/annurev-vision-082114-035447
– volume: 7
  start-page: 11066
  year: 2016
  ident: BFnn4499_CR39
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms11066
– volume: 10
  start-page: 186
  year: 2009
  ident: BFnn4499_CR82
  publication-title: Nat. Rev. Neurosci.
  doi: 10.1038/nrn2575
– volume: 5
  start-page: 1
  year: 2015
  ident: BFnn4499_CR45
  publication-title: Biol. Mood Anxiety Disord.
  doi: 10.1186/s13587-015-0016-y
– ident: BFnn4499_CR83
  doi: 10.1007/s10827-016-0608-6
– volume: 69
  start-page: 1204
  year: 2011
  ident: BFnn4499_CR61
  publication-title: Neuron
  doi: 10.1016/j.neuron.2011.02.027
– volume: 293
  start-page: 2425
  year: 2001
  ident: BFnn4499_CR15
  publication-title: Science
  doi: 10.1126/science.1063736
– volume: 7
  start-page: 12141
  year: 2016
  ident: BFnn4499_CR96
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms12141
– reference: 22289803 - Neuroimage. 2012 Aug 15;62(2):748-56
– reference: 24305832 - J Neurosci. 2013 Dec 4;33(49):19373-83
– reference: 24899722 - J Neurosci. 2014 Jun 4;34(23):8010-20
– reference: 25799041 - Nat Neurosci. 2015 May;18(5):767-72
– reference: 12880789 - Neuroimage. 2003 Jul;19(3):577-86
– reference: 7596267 - Magn Reson Med. 1995 May;33(5):636-47
– reference: 27574316 - Philos Trans R Soc Lond B Biol Sci. 2016 Oct 5;371(1705):
– reference: 17626211 - J Neurosci. 2007 Jul 11;27(28):7498-507
– reference: 22794270 - Neuron. 2012 Jul 12;75(1):168-79
– reference: 27918531 - Nat Neurosci. 2017 Jan;20(1):115-125
– reference: 27326542 - Sci Data. 2016 Jun 21;3:160044
– reference: 27925613 - Nat Commun. 2016 Apr 06;7:11066
– reference: 22158821 - Science. 2011 Dec 9;334(6061):1413-5
– reference: 21435563 - Neuron. 2011 Mar 24;69(6):1204-15
– reference: 27282108 - Sci Rep. 2016 Jun 10;6:27755
– reference: 26948895 - Neuron. 2016 Mar 16;89(6):1343-54
– reference: 26595653 - Nat Neurosci. 2016 Jan;19(1):165-71
– reference: 21616982 - Cereb Cortex. 2012 Jan;22(1):158-65
– reference: 24179218 - Science. 2013 Nov 1;342(6158):580-4
– reference: 24889631 - Proc Natl Acad Sci U S A. 2014 Jun 17;111(24):8997-9002
– reference: 26019331 - J Neurosci. 2015 May 27;35(21):8145-57
– reference: 28532370 - Annu Rev Vis Sci. 2015 Nov 24;1:417-446
– reference: 1614324 - Magn Reson Med. 1992 Jun;25(2):390-7
– reference: 27071084 - Proc Natl Acad Sci U S A. 2016 Apr 26;113(17 ):E2413-20
– reference: 3289116 - Science. 1988 Jun 17;240(4859):1627-31
– reference: 18427116 - Proc Natl Acad Sci U S A. 2008 May 6;105(18):6741-6
– reference: 21451017 - J Neurosci. 2011 Mar 30;31(13):4792-804
– reference: 23558106 - Neuroimage. 2013 Sep;78:261-9
– reference: 21820455 - Neuropsychologia. 2012 Mar;50(4):487-98
– reference: 26102224 - J Cogn Neurosci. 2015 Oct;27(10):2000-18
– reference: 21889996 - Neuroimage. 2012 Aug 15;62(2):743-7
– reference: 25774450 - Nat Neurosci. 2015 Apr;18(4):582-9
– reference: 26906502 - Nat Neurosci. 2016 Mar;19(3):356-65
– reference: 19883493 - Psychol Sci. 2009 Nov;20(11):1364-72
– reference: 27287487 - J Comput Neurosci. 2016 Aug;41(1):1-14
– reference: 27138646 - Trends Cogn Sci. 2016 Jun;20(6):425-43
– reference: 22023741 - Neuroimage. 2012 Aug 15;62(2):791-800
– reference: 20188193 - Neuroimage. 2010 Jun;51(2):752-64
– reference: 20592949 - Front Syst Neurosci. 2010 Jun 17;4:22
– reference: 24768930 - Neuroimage. 2014 Aug 15;97:271-83
– reference: 17255512 - Science. 2007 Jan 26;315(5811):515-8
– reference: 26980615 - Cereb Cortex. 2016 Jun;26(6):2919-2934
– reference: 16352728 - Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18626-31
– reference: 20600972 - Neuroimage. 2011 May 15;56(2):440-54
– reference: 21821136 - Neuroimage. 2012 Jan 2;59(1):846-52
– reference: 21979382 - Neuroimage. 2012 Aug 15;62(2):782-90
– reference: 25477369 - Cereb Cortex. 2015 Oct;25(10 ):3994-4008
– reference: 25375136 - PLoS Comput Biol. 2014 Nov 06;10(11):e1003915
– reference: 26419389 - Neuroimage. 2016 Jan 1;124(Pt A):806-12
– reference: 23558095 - Neuroimage. 2013 Aug 15;77:157-65
– reference: 18511683 - Science. 2008 May 30;320(5880):1191-5
– reference: 15852014 - Nat Neurosci. 2005 May;8(5):679-85
– reference: 24607234 - Neuron. 2014 Mar 5;81(5):1165-78
– reference: 25905002 - Biol Mood Anxiety Disord. 2015 Apr 18;5:1
– reference: 23892552 - Nat Neurosci. 2013 Sep;16(9):1348-55
– reference: 26303198 - Nat Commun. 2015 Aug 25;6:8151
– reference: 22885059 - Curr Biol. 2012 Sep 11;22(17):1622-7
– reference: 25728693 - Curr Biol. 2015 Mar 30;25(7):821-30
– reference: 9038284 - Neuroimage. 1997 Jan;5(1):49-62
– reference: 24804795 - PLoS One. 2014 May 07;9(5):e94914
– reference: 25673851 - J Neurosci. 2015 Feb 11;35(6):2588-95
– reference: 23066083 - Science. 2012 Oct 12;338(6104):270-3
– reference: 1631079 - Proc Natl Acad Sci U S A. 1992 Jul 1;89(13):5951-5
– reference: 7707914 - Magn Reson Med. 1995 Feb;33(2):230-6
– reference: 20408237 - Hum Brain Mapp. 1997;5(5):329-40
– reference: 18501637 - Neuroimage. 2009 Jan 1;44(1):83-98
– reference: 22458676 - Addict Biol. 2013 Jul;18(4):739-48
– reference: 23541800 - Neuroimage. 2013 Aug 1;76:386-99
– reference: 22908274 - Proc Natl Acad Sci U S A. 2012 Sep 4;109(36):14675-80
– reference: 26157000 - J Neurosci. 2015 Jul 8;35(27):10005-14
– reference: 16563737 - Curr Opin Neurobiol. 2006 Apr;16(2):199-204
– reference: 19104670 - Front Syst Neurosci. 2008 Nov 24;2:4
– reference: 11577229 - Science. 2001 Sep 28;293(5539):2425-30
– reference: 25664913 - Nat Neurosci. 2015 Mar;18(3):470-5
– reference: 19190637 - Nat Rev Neurosci. 2009 Mar;10(3):186-98
– reference: 27466328 - J Neurosci. 2016 Jul 27;36(30):7817-28
– reference: 26004849 - J Neurosci Methods. 2015 Aug 15;251:108-19
– reference: 27065363 - Nat Neurosci. 2016 May;19(5):665-7
– reference: 25068736 - Nat Methods. 2014 Sep;11(9):941-50
– reference: 1608978 - Proc Natl Acad Sci U S A. 1992 Jun 15;89(12):5675-9
– reference: 2200075 - Psychol Rev. 1990 Jul;97(3):332-61
– reference: 26327243 - Neuroimage. 2016 Jan 1;124(Pt A):323-35
– reference: 26457551 - Nat Neurosci. 2015 Nov;18(11):1664-71
– reference: 22017997 - Neuron. 2011 Oct 20;72(2):404-16
– reference: 26973168 - Neuroimage. 2016 Jun;133:529-48
– reference: 27424918 - Nat Commun. 2016 Jul 18;7:12141
– reference: 23921785 - Cereb Cortex. 2014 Dec;24(12):3350-64
SSID ssj0007589
Score 2.598254
SecondaryResourceType review_article
Snippet A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more...
Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within...
SourceID pubmedcentral
proquest
gale
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 304
SubjectTerms 59/36
631/378/2649
631/477
Analysis
Animal Genetics and Genomics
Behavioral Sciences
Biological Techniques
Biomedicine
Brain - physiology
Brain Mapping - methods
Cognition
Cognition - physiology
Computer engineering
Computer science
Control theory
Hemodynamics
Humans
Learning - physiology
Machine learning
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
Methods
Models, Neurological
Neurobiology
Neuroimaging
Neurosciences
perspective
Software
Title Computational approaches to fMRI analysis
URI https://link.springer.com/article/10.1038/nn.4499
https://www.ncbi.nlm.nih.gov/pubmed/28230848
https://www.proquest.com/docview/1891851197
https://www.proquest.com/docview/1871549785
https://www.proquest.com/docview/1897372275
https://pubmed.ncbi.nlm.nih.gov/PMC5457304
Volume 20
WOSCitedRecordID wos000394920400004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVPQU
  databaseName: Biological Science Database
  customDbUrl:
  eissn: 1546-1726
  dateEnd: 20171231
  omitProxy: false
  ssIdentifier: ssj0007589
  issn: 1097-6256
  databaseCode: M7P
  dateStart: 19980601
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/biologicalscijournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Health & Medical Collection
  customDbUrl:
  eissn: 1546-1726
  dateEnd: 20171231
  omitProxy: false
  ssIdentifier: ssj0007589
  issn: 1097-6256
  databaseCode: 7X7
  dateStart: 19980601
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/healthcomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 1546-1726
  dateEnd: 20171231
  omitProxy: false
  ssIdentifier: ssj0007589
  issn: 1097-6256
  databaseCode: BENPR
  dateStart: 19980601
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Psychology Database
  customDbUrl:
  eissn: 1546-1726
  dateEnd: 20171231
  omitProxy: false
  ssIdentifier: ssj0007589
  issn: 1097-6256
  databaseCode: M2M
  dateStart: 19980601
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/psychology
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7RlgOXFlqggbIKCBVxCM3DWdsntKBWVGJXq-WhvUWO7UAlcEqzi8S_x-M4abNIvXCJlHii2LE9_jwz_gbgpVScpNJqPymyNCKVZBETeWmBnGC0jBNZOVP21490NmPLJZ97g1vjwyo7negUtaol2shPEsYT5pxeby9_RZg1Cr2rPoXGFuwgS0LmQvfmvSa2WJg7byenkcX54_bQLFKCnxjzhhBH-Hq9Gm3q5BuL0mbA5IbX1C1GZ3v_24z7sOthaDhpx80DuKPNPhxMjN2C__wTHocuMNRZ3Pdhr8v8EHpFcACv20fekBh2xOS6CVd1WE0X56HwZCcP4cvZ6ef3HyKfdCGSdjquIq1KxbOyUkKVlS7jyu6hZBlrHiuLnaiWnCuV5VWuSUl1zlNhAREZK5HLXBK7-D-CbVMbfQihFnFaUsUTriuCQJBbdCjkONdZMi6zJIDj7ucX0jOSY2KMH4XzjGesMKbAXgog7AUvWxKOf0VeYO8VSGlhMGbmm1g3TXH-aVFMCMMzMHbfG8ArL1TV9kNS-CMItrrIgjWQPBpI2jknh8Vd7xZ-zjfFddcG8Lwvxjcxjs3oeo0yFDnxKMtvk-GYOyilVuZxO-76VqfoF2WEBUAHI7IXQLbwYYm5-O5Ywy1Uttqc2O92Y_dG1Yc_88ntzXsK91IENy4S7wi2V1dr_Qzuyt-ri-ZqBFt0Sd2VjWDn3elsvrB303Q6cpPzL3uSPus
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB5VBQkuFFoeCwUMgiIOoZvE2dgHhFZA1VV3V6gU1FtwbAcqgVOaXVD_FL-RGSfZNovUWw9c44lsJ_P0jL8BeKaN5JFG7adVHAW80CIQKsnRkVMizfuhLvxR9udxOp2Kw0P5YQX-tHdhqKyy1YleUZtS0xn5dihkKHzS683xz4C6RlF2tW2hUbPFnj39jSFb9Xr0Dv_v8yjaeX_wdjdougoEGvltFliTGxnnhVEmL2zeLzBI0Hnfyr5B5yC1Wkpj4qRILM9Tm8hIocXnA6MSnWguqEsEqvwrHCMhahUxiSYLzY--t_TZVZkGGFcM6ku6BEG-7dwrzj3A7Jn1W7YB54zgcoHmUpbWG7-dtf_ts92EG42bzYa1XNyCFevWYWPo1Kz8ccq2mC989RmFdVhrO1uwRtFtwMv6UXNQylrgdVuxWcmKyf6IqQbM5TZ8upR93IFVVzp7D5hV_ShPjQylLTg5uhK9X6UHiY3DQR6HPdhqf3amG8R1avzxPfOZ_1hkzmXEFT1gC8LjGmTkX5KnxC0ZQXY4qgn6quZVlY0-7mdDLuiOD8b1PXjREBUlTqRVc8UCl0soXx3KzQ4l6hTdHW65KWt0WpWdsVIPniyG6U2q03O2nBNNSph_qUguopHUGylKkeZuzeeLXUeU9xVc9CDtSMCCgNDQuyPu6JtHRcdQAK0Vx3lbWTm39O7HvH_x9h7Dtd2DyTgbj6Z7D-B6RI6crzrchNXZydw-hKv61-yoOnnkxZ_Bl8sWnL8iPpsd
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELaqghCXFlqgCwUMgiIOYfNw1vYBoRVlxapltSpQ9RYc24FK4JRmF9S_xq9jxkm2zSL11gPXeKLE9jw9428IeaaNZLEG7adVEges0CIQKs3BkVOC52GkC3-UfbjPJxNxdCSnK-RPexcGyypbnegVtSk1npH3IyEj4ZNe_aIpi5jujt6c_AywgxRmWtt2GjWL7Nmz3xC-Va_Hu7DXz-N49O7T2_dB02Eg0MB7s8Ca3MgkL4wyeWHzsICAQeehlaEBR4FbLaUxSVqkluXcpjJWYP3ZwKhUp5oJ7BgB6v8aR9ByXzY4XVgB8MOlz7RKHkCMMagv7CIced-5V4x5sNlzS7hsDy4YxOVizaWMrTeEo_X_eQlvkbXG_abDWl5ukxXrNsjm0KlZ-eOM7lBfEOszDRtkve14QRsFuEle1o-aA1TaArLbis5KWnw4GFPVgLzcIZ-vZB53yaornd0i1KowzrmRkbQFQwdYgles9CC1STTIk6hHdtqNz3SDxI4NQb5nviIgEZlzGXJIj9AF4UkNPvIvyVPknAyhPBzu6Fc1r6ps_PEgGzKBd38g3u-RFw1RUcKHtGquXsDvIvpXh3K7Qwm6RneHW87KGl1XZeds1SNPFsP4JtbvOVvOkYYjFiAX6WU0EnsmxRxo7tU8v5h1jPlgwUSP8I40LAgQJb074o6_ebR0CBHAijH4bis3F369u5j3L5_eY3ID5CXbH0_2HpCbMfp3vhhxm6zOTuf2Ibmuf82Oq9NHXhNQ8uWq5eYvV62j7g
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Computational+approaches+to+fMRI+analysis&rft.jtitle=Nature+neuroscience&rft.au=Cohen%2C+Jonathan+D&rft.au=Daw%2C+Nathaniel&rft.au=Engelhardt%2C+Barbara&rft.au=Hasson%2C+Uri&rft.date=2017-03-01&rft.pub=Nature+Publishing+Group&rft.issn=1097-6256&rft.volume=20&rft.issue=3&rft.spage=304&rft_id=info:doi/10.1038%2Fnn.4499&rft.externalDocID=A482424446
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1097-6256&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1097-6256&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1097-6256&client=summon