Sex effects on dynamic structure–function coupling of intrinsic brain network

Sex differences in static structure–function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the human brain is highly dynamic, and static coupling fails to capture the time-varying properties of neural activity. It remains unclear how se...

Full description

Saved in:
Bibliographic Details
Published in:Brain imaging and behavior Vol. 19; no. 5; pp. 1087 - 1098
Main Authors: Zhang, Xi, Li, Dandan, Yuan, Yuting, Han, Xuebing, Yang, Lan, Lu, Jiayu, Li, Ting, Li, Zhifeng, Wang, Bin
Format: Journal Article
Language:English
Published: New York Springer US 01.10.2025
Springer Nature B.V
Subjects:
Adult
Biomedical and Life Sciences
Biomedicine
Brain
Brain - diagnostic imaging
Brain - physiology
Brain architecture
Brain Mapping - methods
Cluster analysis
Clustering
Cognition & reasoning
Cognition - physiology
Cognitive ability
Connectome - methods
Coupling
Data processing
Female
Females
Gender differences
Humans
Magnetic Resonance Imaging - methods
Male
Medical imaging
Nerve Net - diagnostic imaging
Nerve Net - physiology
Neural networks
Neural Pathways - diagnostic imaging
Neural Pathways - physiology
Neuroimaging
Neuropsychology
Neuroradiology
Neurosciences
Psychiatry
Sex Characteristics
Sex differences
Structure-function relationships
Vector quantization
Young Adult
Intrinsic functional network
Sex differences
Dynamic FC
Dynamic SC-FC coupling
ISSN:1931-7565, 1931-7557, 1931-7565
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Sex differences in static structure–function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the human brain is highly dynamic, and static coupling fails to capture the time-varying properties of neural activity. It remains unclear how sex influences dynamic SC-FC coupling over time. Moreover, intrinsic functional networks represent a core feature of brain organization. Here, we quantified sex differences in dynamic FC strength and SC-FC coupling at the intrinsic functional network level using a sliding window approach. Using two window sizes (50 TRs and 30 TRs), we constructed dynamic FC networks and identified hyper-connected and hypo-connected states via k-means clustering. The results showed females performed higher whole-brain SC-FC coupling in hyper-connected state. Specifically, females exhibited higher FC strength and coupling in systems related default mode network in this state. In addition, females exhibited higher FC strength and coupling in systems related limbic/paralimbic and subcortical network in hypo-connected state. Males exhibited higher FC strength and coupling in systems related somatosensory/motor and auditory network in hyper-connected state. Finally, sex-specific patterns in correlations were shown between SC-FC coupling and cognitive performance in distinct states. This study provides new insights into sex-related effects on the neurodevelopmental basis of cognitive function through the perspective of dynamic SC-FC coupling.
AbstractList Sex differences in static structure-function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the human brain is highly dynamic, and static coupling fails to capture the time-varying properties of neural activity. It remains unclear how sex influences dynamic SC-FC coupling over time. Moreover, intrinsic functional networks represent a core feature of brain organization. Here, we quantified sex differences in dynamic FC strength and SC-FC coupling at the intrinsic functional network level using a sliding window approach. Using two window sizes (50 TRs and 30 TRs), we constructed dynamic FC networks and identified hyper-connected and hypo-connected states via k-means clustering. The results showed females performed higher whole-brain SC-FC coupling in hyper-connected state. Specifically, females exhibited higher FC strength and coupling in systems related default mode network in this state. In addition, females exhibited higher FC strength and coupling in systems related limbic/paralimbic and subcortical network in hypo-connected state. Males exhibited higher FC strength and coupling in systems related somatosensory/motor and auditory network in hyper-connected state. Finally, sex-specific patterns in correlations were shown between SC-FC coupling and cognitive performance in distinct states. This study provides new insights into sex-related effects on the neurodevelopmental basis of cognitive function through the perspective of dynamic SC-FC coupling.
Sex differences in static structure-function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the human brain is highly dynamic, and static coupling fails to capture the time-varying properties of neural activity. It remains unclear how sex influences dynamic SC-FC coupling over time. Moreover, intrinsic functional networks represent a core feature of brain organization. Here, we quantified sex differences in dynamic FC strength and SC-FC coupling at the intrinsic functional network level using a sliding window approach. Using two window sizes (50 TRs and 30 TRs), we constructed dynamic FC networks and identified hyper-connected and hypo-connected states via k-means clustering. The results showed females performed higher whole-brain SC-FC coupling in hyper-connected state. Specifically, females exhibited higher FC strength and coupling in systems related default mode network in this state. In addition, females exhibited higher FC strength and coupling in systems related limbic/paralimbic and subcortical network in hypo-connected state. Males exhibited higher FC strength and coupling in systems related somatosensory/motor and auditory network in hyper-connected state. Finally, sex-specific patterns in correlations were shown between SC-FC coupling and cognitive performance in distinct states. This study provides new insights into sex-related effects on the neurodevelopmental basis of cognitive function through the perspective of dynamic SC-FC coupling.Sex differences in static structure-function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the human brain is highly dynamic, and static coupling fails to capture the time-varying properties of neural activity. It remains unclear how sex influences dynamic SC-FC coupling over time. Moreover, intrinsic functional networks represent a core feature of brain organization. Here, we quantified sex differences in dynamic FC strength and SC-FC coupling at the intrinsic functional network level using a sliding window approach. Using two window sizes (50 TRs and 30 TRs), we constructed dynamic FC networks and identified hyper-connected and hypo-connected states via k-means clustering. The results showed females performed higher whole-brain SC-FC coupling in hyper-connected state. Specifically, females exhibited higher FC strength and coupling in systems related default mode network in this state. In addition, females exhibited higher FC strength and coupling in systems related limbic/paralimbic and subcortical network in hypo-connected state. Males exhibited higher FC strength and coupling in systems related somatosensory/motor and auditory network in hyper-connected state. Finally, sex-specific patterns in correlations were shown between SC-FC coupling and cognitive performance in distinct states. This study provides new insights into sex-related effects on the neurodevelopmental basis of cognitive function through the perspective of dynamic SC-FC coupling.
Author Han, Xuebing
Yuan, Yuting
Li, Ting
Lu, Jiayu
Zhang, Xi
Yang, Lan
Li, Dandan
Li, Zhifeng
Wang, Bin
Author_xml – sequence: 1
  givenname: Xi
  orcidid: 0009-0001-4769-4252
  surname: Zhang
  fullname: Zhang, Xi
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
– sequence: 2
  givenname: Dandan
  orcidid: 0000-0002-5660-0895
  surname: Li
  fullname: Li, Dandan
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
– sequence: 3
  givenname: Yuting
  surname: Yuan
  fullname: Yuan, Yuting
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
– sequence: 4
  givenname: Xuebing
  surname: Han
  fullname: Han, Xuebing
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
– sequence: 5
  givenname: Lan
  surname: Yang
  fullname: Yang, Lan
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
– sequence: 6
  givenname: Jiayu
  surname: Lu
  fullname: Lu, Jiayu
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
– sequence: 7
  givenname: Ting
  surname: Li
  fullname: Li, Ting
  organization: School of Software, Taiyuan University of Technology
– sequence: 8
  givenname: Zhifeng
  surname: Li
  fullname: Li, Zhifeng
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
– sequence: 9
  givenname: Bin
  orcidid: 0000-0001-7771-5360
  surname: Wang
  fullname: Wang, Bin
  email: wangbin01@tyut.edu.cn
  organization: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology
BackLink https://www.ncbi.nlm.nih.gov/pubmed/40571838$$D View this record in MEDLINE/PubMed
BookMark eNp90ctOAyEUBmBiauxFX8CFmcSNm1EuMzAsTeMtadKFuiZAoZnaQoWZaHe-g2_ok4hOvcSFK0j4DhzOPwQ9550B4BDBUwQhO4sI0QrnEJc5RJDQnOyAAeIE5aykZe_Xvg-GMS4gLIuKoz3QL2DJUEWqAZjemufMWGt0EzPvstnGyVWts9iEVjdtMG8vr7Z1uqnTofbtelm7eeZtVrsm1C4mqoKsXeZM8-TDwz7YtXIZzcF2HYH7y4u78XU-mV7djM8nuSa4anLMOZkxRWVlDeeQsQIbZAs8Ky2viCyZhRUlssBQYqkMZ5wzzZSiqlAKYkhG4KS7dx38Y2tiI1Z11Ga5lM74NgqCcUHTNylN9PgPXfg2uNRdUjTNBCWZ1NFWtWplZmId6pUMG_E1qgRwB3TwMQZjvwmC4iMP0eUhUh7iMw9BUhHpimLCbm7Cz9v_VL0D7uyM9A
Cites_doi 10.1089/brain.2016.0429
10.1038/srep26976
10.1093/cercor/bhz027
10.1162/netn_a_00172
10.1002/jnr.23820
10.1073/pnas.0811168106
10.1097/WNR.0b013e328300ebbf
10.1038/s42003-022-03466-x
10.1016/j.cub.2009.04.028
10.1037/a0026712
10.1002/jnr.23830
10.1002/hbm.24385
10.1038/s41398-024-03212-3
10.1007/s00429-017-1539-3
10.1073/pnas.1316909110
10.1186/1744-9081-6-74
10.1016/j.neuroimage.2010.07.066
10.1038/s41467-019-12765-7
10.1073/pnas.1912034117
10.1016/j.tics.2020.01.008
10.1002/hbm.25873
10.1038/s41583-024-00846-6
10.1016/j.clinph.2019.08.009
10.1093/cercor/bhy109
10.1017/S0033291723003525
10.1016/j.pnpbp.2011.01.005
10.1016/j.tics.2019.07.003
10.1016/j.neuroimage.2013.05.079
10.1002/hbm.22720
10.1016/j.biopsycho.2014.06.008
10.1100/2011/157150
10.3389/fnsys.2011.00002
10.1016/j.jneumeth.2009.11.017
10.1016/j.neuroimage.2007.08.008
10.1016/j.neuroimage.2019.116116
10.1016/j.neuroimage.2017.09.020
10.1162/netn_a_00116
10.1098/rstb.2015.0111
10.1093/cercor/bhaa335
10.1016/j.nicl.2017.12.013
10.1016/j.neuroimage.2018.01.040
10.1038/s42003-020-01331-3
10.3389/fnhum.2012.00189
10.1037/a0027791
10.1093/cercor/bhs352
10.1007/3-540-44503-X_27
10.1016/j.jneumeth.2019.108531
10.1155/2015/183074
10.3389/fncir.2021.649417
10.1177/1073858410386492
10.1177/1073858414524442
10.1109/EMBC.2017.8037473
10.1038/s41467-021-25184-4
10.1093/brain/awr223
10.1093/cercor/bhw157
10.1523/JNEUROSCI.2308-09.2009
10.1080/17470210802453977
10.1016/j.neuroimage.2014.09.007
10.1037/a0038208
10.1093/cercor/bhq111
10.1016/j.bandc.2017.09.003
10.1016/j.neuron.2014.10.015
10.1093/cercor/bhu036
10.1371/journal.pone.0005226
10.1523/JNEUROSCI.5061-11.2012
10.1371/journal.pone.0103492
10.1002/hbm.21514
10.1006/nimg.2001.0978
10.1016/j.bbr.2008.10.033
10.1016/j.neuroimage.2015.09.010
10.1007/s00429-013-0698-0
10.1196/annals.1440.011
10.1016/j.neuroimage.2022.118970
10.1038/s41467-020-15541-0
ContentType Journal Article
Copyright The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
Copyright_xml – notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
– notice: 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
– notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7TK
K9.
NAPCQ
7X8
DOI 10.1007/s11682-025-01036-3
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Neurosciences Abstracts
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Premium
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Premium
Neurosciences Abstracts
MEDLINE - Academic
DatabaseTitleList MEDLINE
MEDLINE - Academic

ProQuest Health & Medical Complete (Alumni)
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: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1931-7565
EndPage 1098
ExternalDocumentID 40571838
10_1007_s11682_025_01036_3
Genre Journal Article
GrantInformation_xml – fundername: Special Regional Cooperation Project for Science and Technology Cooperation and Exchange
  grantid: 202304041101034
– fundername: Research Project Supported by Shanxi Scholarship Council of China
  grantid: 2021-039
– fundername: National Key Scientific and Technological Infrastructure project “Earth System Numerical Simulation Facility
  grantid: 2023-EL-PT-000371; 2023-EL-PT-000374
– fundername: Natural Science Foundation of Shanxi
  grantid: 20210302123112
– fundername: Natural Science Foundation of Shanxi Province
  grantid: 202303021211055
  funderid: https://doi.org/10.13039/501100004480
– fundername: Natural Science Foundation of China
  grantid: 62176177; 62176177
– fundername: Natural Science Foundation of China
  grantid: 62176177
– fundername: National Key Scientific and Technological Infrastructure project "Earth System Numerical Simulation Facility
  grantid: 2023-EL-PT-000371
– fundername: National Key Scientific and Technological Infrastructure project "Earth System Numerical Simulation Facility
  grantid: 2023-EL-PT-000374
– fundername: Natural Science Foundation of Shanxi Province
  grantid: 202303021211055
GroupedDBID ---
-Y2
.86
.VR
04C
06D
0R~
0VY
1N0
203
23N
29~
2J2
2JN
2JY
2KG
2KM
2LR
2VQ
2~H
30V
4.4
406
408
409
40D
40E
53G
5GY
5VS
67Z
6J9
6NX
7RV
7X7
875
88E
8FE
8FG
8FH
8FI
8FJ
8TC
8UJ
95-
95.
95~
96X
AAAVM
AABHQ
AACDK
AAHNG
AAIAL
AAJBT
AAJKR
AANXM
AANZL
AAPKM
AARHV
AARTL
AASML
AATNV
AATVU
AAUYE
AAWCG
AAYIU
AAYQN
AAYTO
ABAKF
ABBRH
ABBXA
ABDBE
ABDZT
ABECU
ABFSG
ABFTV
ABHLI
ABHQN
ABIVO
ABJNI
ABJOX
ABKCH
ABMNI
ABMQK
ABNWP
ABPLI
ABQBU
ABRTQ
ABSXP
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABUWG
ABWNU
ABXPI
ACAOD
ACDTI
ACGFS
ACHSB
ACHXU
ACIWK
ACKNC
ACMDZ
ACMLO
ACOKC
ACOMO
ACPIV
ACPRK
ACREN
ACSNA
ACSTC
ACZOJ
ADBBV
ADHHG
ADHIR
ADKNI
ADKPE
ADRFC
ADTPH
ADURQ
ADYFF
ADYOE
ADZKW
AEBTG
AEFQL
AEGAL
AEGNC
AEJHL
AEJRE
AEKMD
AEMSY
AENEX
AEOHA
AEPYU
AESKC
AETLH
AEVLU
AEXYK
AEZWR
AFBBN
AFDZB
AFGCZ
AFHIU
AFKRA
AFLOW
AFOHR
AFQWF
AFRAH
AFWTZ
AFYQB
AFZKB
AGAYW
AGDGC
AGJBK
AGMZJ
AGQEE
AGQMX
AGRTI
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHKAY
AHMBA
AHPBZ
AHSBF
AHWEU
AHYZX
AIAKS
AIGIU
AIIXL
AILAN
AITGF
AIXLP
AJBLW
AJRNO
AJZVZ
AKMHD
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMTXH
AMXSW
AMYLF
AMYQR
AOCGG
ARAPS
ARMRJ
ATHPR
AXYYD
AYFIA
AZQEC
B-.
BA0
BBNVY
BDATZ
BENPR
BGLVJ
BGNMA
BHPHI
BKEYQ
BMSDO
BPHCQ
BSONS
BVXVI
CAG
CCPQU
COF
CS3
CSCUP
DDRTE
DNIVK
DPUIP
DU5
DWQXO
EBD
EBLON
EBS
EIHBH
EIOEI
EJD
EMOBN
ESBYG
EX3
F5P
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FWDCC
FYUFA
GGCAI
GGRSB
GJIRD
GNUQQ
GNWQR
GQ7
GQ8
GXS
H13
HCIFZ
HF~
HG5
HG6
HLICF
HMCUK
HMJXF
HQYDN
HRMNR
HZ~
IJ-
IKXTQ
IWAJR
IXC
IXD
IXE
IZIGR
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
JCJTX
JZLTJ
KDC
KOV
LK8
LLZTM
M1P
M2M
M4Y
M7P
MA-
NAPCQ
NPVJJ
NQJWS
NU0
O9-
O93
O9J
OAM
P62
P9L
PF0
PHGZM
PHGZT
PJZUB
PPXIY
PQGLB
PQQKQ
PROAC
PSQYO
PSYQQ
PT4
QOR
QOS
R89
R9I
ROL
RPX
RSV
S16
S1Z
S27
S3B
SAP
SBS
SDH
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
SSXJD
STPWE
SV3
SZN
T13
TSG
TSK
TSV
TUC
U2A
U9L
UG4
UKHRP
UOJIU
UTJUX
UZXMN
VC2
VFIZW
W23
W48
WK8
WOW
YLTOR
Z45
ZMTXR
ZOVNA
~A9
~KM
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7TK
K9.
7X8
AAYZH
ID FETCH-LOGICAL-c328t-2993d7b6a8fe9907742e1f42d5f983a57f0863a420a2abe97997c7bb6b4bb0203
IEDL.DBID RSV
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001518052500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1931-7565
1931-7557
IngestDate Fri Sep 05 15:47:47 EDT 2025
Sat Nov 08 16:07:42 EST 2025
Tue Oct 14 01:30:28 EDT 2025
Sat Nov 29 07:18:56 EST 2025
Tue Oct 14 01:10:25 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 5
Keywords Intrinsic functional network
Sex differences
Dynamic FC
Dynamic SC-FC coupling
Language English
License 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c328t-2993d7b6a8fe9907742e1f42d5f983a57f0863a420a2abe97997c7bb6b4bb0203
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-5660-0895
0009-0001-4769-4252
0000-0001-7771-5360
PMID 40571838
PQID 3260541464
PQPubID 1486349
PageCount 12
ParticipantIDs proquest_miscellaneous_3224640566
proquest_journals_3260541464
pubmed_primary_40571838
crossref_primary_10_1007_s11682_025_01036_3
springer_journals_10_1007_s11682_025_01036_3
PublicationCentury 2000
PublicationDate 2025-10-01
PublicationDateYYYYMMDD 2025-10-01
PublicationDate_xml – month: 10
  year: 2025
  text: 2025-10-01
  day: 01
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
– name: United States
– name: Indianapolis
PublicationTitle Brain imaging and behavior
PublicationTitleAbbrev Brain Imaging and Behavior
PublicationTitleAlternate Brain Imaging Behav
PublicationYear 2025
Publisher Springer US
Springer Nature B.V
Publisher_xml – name: Springer US
– name: Springer Nature B.V
References 1036_CR58
1036_CR56
1036_CR55
1036_CR52
1036_CR50
N De Lacy (1036_CR16) 2019; 202
P Moreno-Briseño (1036_CR47) 2010; 6
B Crespo-Facorro (1036_CR15) 2011; 35
RC Gur (1036_CR33) 2010; 187
1036_CR18
Z Gu (1036_CR29) 2021; 12
1036_CR17
CJ Honey (1036_CR37) 2009; 106
1036_CR59
1036_CR46
1036_CR45
1036_CR44
S Dorfberger (1036_CR19) 2009; 198
P Fotiadis (1036_CR23) 2024
Z-Q Liu (1036_CR43) 2022; 5
Y He (1036_CR34) 2009; 4
B Wang (1036_CR64) 2019; 29
AB Satpute (1036_CR53) 2019; 23
Y Xia (1036_CR66) 2018; 40
Z Zhang (1036_CR74) 2024; 54
M Ingalhalikar (1036_CR39) 2014; 111
AC Murphy (1036_CR48) 2020; 11
G Gong (1036_CR26) 2011; 17
B Tunç (1036_CR62) 2016; 371
M Amft (1036_CR6) 2015; 220
RC Gur (1036_CR32) 2012; 26
AMC Kelly (1036_CR40) 2008; 39
M Filippi (1036_CR22) 2013; 34
RL Buckner (1036_CR10) 2008; 1124
AC Hill (1036_CR35) 2014; 102
Z Chen (1036_CR13) 2009; 62
1036_CR31
1036_CR75
H Hjelmervik (1036_CR36) 2014; 9
MG Preti (1036_CR49) 2019; 10
L Tian (1036_CR60) 2018; 172
1036_CR71
1036_CR70
G Gong (1036_CR27) 2009; 29
GL Baum (1036_CR8) 2020; 117
H Shen (1036_CR57) 2016; 124
G Liu (1036_CR42) 2022; 43
MR Roxo (1036_CR51) 2011; 11
1036_CR2
1036_CR5
S Weis (1036_CR65) 2019; 131
1036_CR4
RM Hutchison (1036_CR38) 2013; 80
C Xu (1036_CR67) 2015; 2015
Z Zhang (1036_CR73) 2011; 134
1036_CR25
X Zhang (1036_CR72) 2024; 14
NB Albert (1036_CR3) 2009; 19
A Griffa (1036_CR28) 2022; 250
1036_CR68
N Leonardi (1036_CR41) 2015; 104
1036_CR21
N Tzourio-Mazoyer (1036_CR63) 2002; 15
1036_CR20
1036_CR61
Z Yao (1036_CR69) 2019; 130
B Guerra-Carrillo (1036_CR30) 2014; 20
M Fukushima (1036_CR24) 2020; 3
N Cowan (1036_CR14) 2012; 119
RL Bluhm (1036_CR9) 2008; 19
B Cai (1036_CR11) 2020; 332
TD Satterthwaite (1036_CR54) 2015; 25
A Abrol (1036_CR1) 2017; 163
VD Calhoun (1036_CR12) 2014; 84
F Bai (1036_CR7) 2012; 32
References_xml – ident: 1036_CR71
  doi: 10.1089/brain.2016.0429
– ident: 1036_CR17
  doi: 10.1038/srep26976
– volume: 29
  start-page: 11
  issue: 11
  year: 2019
  ident: 1036_CR64
  publication-title: Cerebral Cortex
  doi: 10.1093/cercor/bhz027
– ident: 1036_CR20
  doi: 10.1162/netn_a_00172
– ident: 1036_CR52
  doi: 10.1002/jnr.23820
– volume: 106
  start-page: 2035
  issue: 6
  year: 2009
  ident: 1036_CR37
  publication-title: Proceedings of the National Academy of Sciences
  doi: 10.1073/pnas.0811168106
– volume: 19
  start-page: 887
  issue: 8
  year: 2008
  ident: 1036_CR9
  publication-title: NeuroReport
  doi: 10.1097/WNR.0b013e328300ebbf
– volume: 5
  start-page: 532
  issue: 1
  year: 2022
  ident: 1036_CR43
  publication-title: Communications Biology
  doi: 10.1038/s42003-022-03466-x
– volume: 19
  start-page: 1023
  issue: 12
  year: 2009
  ident: 1036_CR3
  publication-title: Current Biology
  doi: 10.1016/j.cub.2009.04.028
– volume: 26
  start-page: 2
  issue: 2
  year: 2012
  ident: 1036_CR32
  publication-title: Neuropsychology
  doi: 10.1037/a0026712
– ident: 1036_CR31
  doi: 10.1002/jnr.23830
– volume: 40
  start-page: 717
  issue: 3
  year: 2018
  ident: 1036_CR66
  publication-title: Human Brain Mapping
  doi: 10.1002/hbm.24385
– volume: 14
  start-page: 507
  issue: 1
  year: 2024
  ident: 1036_CR72
  publication-title: Translational Psychiatry
  doi: 10.1038/s41398-024-03212-3
– ident: 1036_CR25
  doi: 10.1007/s00429-017-1539-3
– volume: 111
  start-page: 2
  issue: 2
  year: 2014
  ident: 1036_CR39
  publication-title: Proceedings of the National Academy of Sciences
  doi: 10.1073/pnas.1316909110
– volume: 6
  start-page: 74
  issue: 1
  year: 2010
  ident: 1036_CR47
  publication-title: Behavioral and Brain Functions
  doi: 10.1186/1744-9081-6-74
– ident: 1036_CR61
  doi: 10.1016/j.neuroimage.2010.07.066
– volume: 10
  start-page: 4747
  issue: 1
  year: 2019
  ident: 1036_CR49
  publication-title: Nature Communications
  doi: 10.1038/s41467-019-12765-7
– volume: 117
  start-page: 1
  issue: 1
  year: 2020
  ident: 1036_CR8
  publication-title: Proceedings of the National Academy of Sciences
  doi: 10.1073/pnas.1912034117
– ident: 1036_CR58
  doi: 10.1016/j.tics.2020.01.008
– volume: 43
  start-page: 3633
  issue: 12
  year: 2022
  ident: 1036_CR42
  publication-title: Human Brain Mapping
  doi: 10.1002/hbm.25873
– year: 2024
  ident: 1036_CR23
  publication-title: Nature Reviews. Neuroscience.
  doi: 10.1038/s41583-024-00846-6
– volume: 130
  start-page: 2096
  issue: 11
  year: 2019
  ident: 1036_CR69
  publication-title: Clinical Neurophysiology
  doi: 10.1016/j.clinph.2019.08.009
– ident: 1036_CR50
  doi: 10.1093/cercor/bhy109
– volume: 54
  start-page: 1629
  issue: 8
  year: 2024
  ident: 1036_CR74
  publication-title: Psychological Medicine
  doi: 10.1017/S0033291723003525
– volume: 35
  start-page: 2
  issue: 2
  year: 2011
  ident: 1036_CR15
  publication-title: Progress in Neuro-Psychopharmacology and Biological Psychiatry
  doi: 10.1016/j.pnpbp.2011.01.005
– volume: 23
  start-page: 10
  issue: 10
  year: 2019
  ident: 1036_CR53
  publication-title: Trends in Cognitive Sciences
  doi: 10.1016/j.tics.2019.07.003
– volume: 80
  start-page: 360
  year: 2013
  ident: 1036_CR38
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2013.05.079
– ident: 1036_CR55
  doi: 10.1002/hbm.22720
– volume: 102
  start-page: 18
  year: 2014
  ident: 1036_CR35
  publication-title: Biological Psychology
  doi: 10.1016/j.biopsycho.2014.06.008
– volume: 11
  start-page: 2427
  year: 2011
  ident: 1036_CR51
  publication-title: The Scientific World JOURNAL
  doi: 10.1100/2011/157150
– ident: 1036_CR5
  doi: 10.3389/fnsys.2011.00002
– volume: 187
  start-page: 254
  issue: 2
  year: 2010
  ident: 1036_CR33
  publication-title: Journal of Neuroscience Methods
  doi: 10.1016/j.jneumeth.2009.11.017
– volume: 39
  start-page: 527
  issue: 1
  year: 2008
  ident: 1036_CR40
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2007.08.008
– volume: 202
  start-page: 116116
  year: 2019
  ident: 1036_CR16
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2019.116116
– volume: 163
  start-page: 160
  year: 2017
  ident: 1036_CR1
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2017.09.020
– ident: 1036_CR44
  doi: 10.1162/netn_a_00116
– volume: 371
  start-page: 1688
  issue: 1688
  year: 2016
  ident: 1036_CR62
  publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences
  doi: 10.1098/rstb.2015.0111
– ident: 1036_CR75
  doi: 10.1093/cercor/bhaa335
– ident: 1036_CR18
  doi: 10.1016/j.nicl.2017.12.013
– volume: 172
  start-page: 31
  year: 2018
  ident: 1036_CR60
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2018.01.040
– volume: 3
  start-page: 1
  issue: 1
  year: 2020
  ident: 1036_CR24
  publication-title: Communications Biology
  doi: 10.1038/s42003-020-01331-3
– ident: 1036_CR46
  doi: 10.3389/fnhum.2012.00189
– volume: 119
  start-page: 3
  issue: 3
  year: 2012
  ident: 1036_CR14
  publication-title: Psychological Review
  doi: 10.1037/a0027791
– ident: 1036_CR4
  doi: 10.1093/cercor/bhs352
– ident: 1036_CR2
  doi: 10.1007/3-540-44503-X_27
– volume: 332
  start-page: 108531
  year: 2020
  ident: 1036_CR11
  publication-title: Journal of Neuroscience Methods
  doi: 10.1016/j.jneumeth.2019.108531
– volume: 2015
  start-page: 1
  year: 2015
  ident: 1036_CR67
  publication-title: BioMed Research International
  doi: 10.1155/2015/183074
– ident: 1036_CR56
  doi: 10.3389/fncir.2021.649417
– volume: 17
  start-page: 5
  issue: 5
  year: 2011
  ident: 1036_CR26
  publication-title: The Neuroscientist
  doi: 10.1177/1073858410386492
– volume: 20
  start-page: 522
  issue: 5
  year: 2014
  ident: 1036_CR30
  publication-title: The Neuroscientist
  doi: 10.1177/1073858414524442
– ident: 1036_CR45
  doi: 10.1109/EMBC.2017.8037473
– volume: 12
  start-page: 4894
  issue: 1
  year: 2021
  ident: 1036_CR29
  publication-title: Nature Communications
  doi: 10.1038/s41467-021-25184-4
– volume: 134
  start-page: 2912
  issue: 10
  year: 2011
  ident: 1036_CR73
  publication-title: Brain
  doi: 10.1093/brain/awr223
– ident: 1036_CR21
  doi: 10.1093/cercor/bhw157
– volume: 29
  start-page: 50
  issue: 50
  year: 2009
  ident: 1036_CR27
  publication-title: The Journal of Neuroscience
  doi: 10.1523/JNEUROSCI.2308-09.2009
– volume: 62
  start-page: 7
  issue: 7
  year: 2009
  ident: 1036_CR13
  publication-title: Quarterly Journal of Experimental Psychology
  doi: 10.1080/17470210802453977
– volume: 104
  start-page: 430
  year: 2015
  ident: 1036_CR41
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2014.09.007
– ident: 1036_CR70
  doi: 10.1037/a0038208
– ident: 1036_CR68
  doi: 10.1093/cercor/bhq111
– volume: 131
  start-page: 66
  year: 2019
  ident: 1036_CR65
  publication-title: Brain and Cognition
  doi: 10.1016/j.bandc.2017.09.003
– volume: 84
  start-page: 2
  issue: 2
  year: 2014
  ident: 1036_CR12
  publication-title: Neuron
  doi: 10.1016/j.neuron.2014.10.015
– volume: 25
  start-page: 9
  issue: 9
  year: 2015
  ident: 1036_CR54
  publication-title: Cerebral Cortex
  doi: 10.1093/cercor/bhu036
– volume: 4
  start-page: e5226
  issue: 4
  year: 2009
  ident: 1036_CR34
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0005226
– volume: 32
  start-page: 4307
  issue: 12
  year: 2012
  ident: 1036_CR7
  publication-title: The Journal of Neuroscience
  doi: 10.1523/JNEUROSCI.5061-11.2012
– volume: 9
  start-page: 7
  issue: 7
  year: 2014
  ident: 1036_CR36
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0103492
– volume: 34
  start-page: 6
  issue: 6
  year: 2013
  ident: 1036_CR22
  publication-title: Human Brain Mapping
  doi: 10.1002/hbm.21514
– volume: 15
  start-page: 273
  issue: 1
  year: 2002
  ident: 1036_CR63
  publication-title: NeuroImage
  doi: 10.1006/nimg.2001.0978
– volume: 198
  start-page: 165
  issue: 1
  year: 2009
  ident: 1036_CR19
  publication-title: Behavioural Brain Research
  doi: 10.1016/j.bbr.2008.10.033
– volume: 124
  start-page: 367
  year: 2016
  ident: 1036_CR57
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2015.09.010
– ident: 1036_CR59
– volume: 220
  start-page: 1031
  issue: 2
  year: 2015
  ident: 1036_CR6
  publication-title: Brain Structure and Function
  doi: 10.1007/s00429-013-0698-0
– volume: 1124
  start-page: 1
  issue: 1
  year: 2008
  ident: 1036_CR10
  publication-title: Annals of the New York Academy of Sciences
  doi: 10.1196/annals.1440.011
– volume: 250
  start-page: 118970
  year: 2022
  ident: 1036_CR28
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2022.118970
– volume: 11
  start-page: 1
  issue: 1
  year: 2020
  ident: 1036_CR48
  publication-title: Nature Communications
  doi: 10.1038/s41467-020-15541-0
SSID ssj0054891
Score 2.3731775
Snippet Sex differences in static structure–function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the...
Sex differences in static structure-function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the...
SourceID proquest
pubmed
crossref
springer
SourceType Aggregation Database
Index Database
Publisher
StartPage 1087
SubjectTerms Adult
Biomedical and Life Sciences
Biomedicine
Brain
Brain - diagnostic imaging
Brain - physiology
Brain architecture
Brain Mapping - methods
Cluster analysis
Clustering
Cognition & reasoning
Cognition - physiology
Cognitive ability
Connectome - methods
Coupling
Data processing
Female
Females
Gender differences
Humans
Magnetic Resonance Imaging - methods
Male
Medical imaging
Nerve Net - diagnostic imaging
Nerve Net - physiology
Neural networks
Neural Pathways - diagnostic imaging
Neural Pathways - physiology
Neuroimaging
Neuropsychology
Neuroradiology
Neurosciences
Psychiatry
Sex Characteristics
Sex differences
Structure-function relationships
Vector quantization
Young Adult
Title Sex effects on dynamic structure–function coupling of intrinsic brain network
URI https://link.springer.com/article/10.1007/s11682-025-01036-3
https://www.ncbi.nlm.nih.gov/pubmed/40571838
https://www.proquest.com/docview/3260541464
https://www.proquest.com/docview/3224640566
Volume 19
WOSCitedRecordID wos001518052500001&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: PRVAVX
  databaseName: SpringerLink Journals
  customDbUrl:
  eissn: 1931-7565
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0054891
  issn: 1931-7565
  databaseCode: RSV
  dateStart: 20070601
  isFulltext: true
  titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22
  providerName: Springer Nature
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT8MwDLbYQIgL70dhTEHiBpXapk2zI0JMXBiIAdqtStoU7dKiPRBH_gP_kF-C3ccmNDjAOWka2Y79WX4BnKokcGKX-7YySWD7MsAnpZRjx4nmTmxQCHQ5bCLs9eRg0LmrisLGdbZ7HZIsNPW82M0ViAZp_CrNJhA2b8AymjtJAxvu-0-1_kUI3nGr8pifv_tughZw5UJMtDA13Y3_XXIT1itoyS5KWdiCJZNtw-pNFTzfgdu-eWNV_gbLM5aUw-hZ2UJ2OjKf7x9k5ohVLM6nVKv7zPKUDbMJXgLZyTQNlGBZmTq-C4_dq4fLa7uap2DH3JMTGy0PT0ItlEwNGiEEfp5xU99LgrQjuQrCFP0brnzPUZ7ShgJ-YRxqLbSvNUUs96CZ5Zk5AOYpYbhA30qQiyHRbVKKS6GphZMJTWDBWU3i6KVsmxHNGyQTjSKkUVTQKOIWtGouRNUTGkecPC0fFblvwclsGYWfIhoqM_mU9ni4jhhOWLBfcm_2O0KiqK-kBec1q-aH_36Xw79tP4I1j7hdpPe1oIkcM8ewEr9OhuNRGxrhQLYL8fwC-kPeqQ
linkProvider Springer Nature
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3JTsMwEB1BQcCFfQkUMBI3iJTGiZMeEaIqoi2IFtRbZCcO6iVBXRBH_oE_5EuYydIKAQc423GseeNZNBvAqYxcK6xxx5Q6ck3Hd_FJSWmZYaS4FWpkApUPm_A6Hb_fr98VRWGjMtu9DElmknpW7FYTaA3S-FWaTSBMPg8LDmos6ph_330s5S-a4PVaUR7z83dfVdA3u_JbTDRTNY21_11yHVYL05Jd5LywAXM62YSldhE834Lbrn5lRf4GSxMW5cPoWd5CdjLUH2_vpOYIKhamE6rVfWJpzAbJGC-BcDJFAyVYkqeOb8ND46p32TSLeQpmyG1_bKLm4ZGnhPRjjUoIDT9b12LHjty47nPpejH6N1w6tiVtqTQF_LzQU0ooRymKWO5AJUkTvQfMlkJzgb6VIBfDR7dJSu4LRS2ctKddA85KEgfPeduMYNYgmWgUII2CjEYBN6BaohAUT2gUcPK0HBTkjgEn02VkfopoyESnE9pj4zracMKA3Ry96e_IEkV55RtwXkI1O_z3u-z_bfsxLDd77VbQuu7cHMCKTchnqX5VqCB6-hAWw5fxYDQ8ypj0EzRp4KU
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3JTsMwEB1BQRUX9iVQwEjcIGobJ056REAFAkqlAuotshMH9ZJUXRBH_oE_5EuYydKCCgfE2Y5jzbM9bzQbwLEMnVpQ57YpdeiYtufglZKyZgah4rVA4yFQWbMJt9Xyut1G-0sWfxrtXrgks5wGqtIUj6r9MKpOE9_qApkhtWKlPgXC5POwYFMgPdnrnafiLUY63qjnqTI_f_ddHc1wzBn_aKp2miv_3_AqLOeUk51lZ2QN5nS8DuW73Km-Afcd_cryuA6WxCzMmtSzrLTseKA_3t5J_RGELEjGlMP7zJKI9eIRbghhZooaTbA4CynfhMfm5cP5lZn3WTADbnkjEzUSD10lpBdpVE5ICC1dj2wrdKKGx6XjRmj3cGlbNWlJpckR6AauUkLZSpEncwtKcRLrHWCWFJoLtLkEmR4emlNSck8oKu2kXe0YcFKI2-9n5TT8aeFkkpGPMvJTGfncgEqBiJ9fraHPyQKz8YG3DTiaDOOlIE-HjHUypjkWjiO3EwZsZ0hOfkcMFd8xz4DTArbp4r_vZfdv0w-h3L5o-rfXrZs9WLII-DQCsAIlBE_vw2LwMuoNBwfpef0Ep3PpiQ
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=Sex+effects+on+dynamic+structure-function+coupling+of+intrinsic+brain+network&rft.jtitle=Brain+imaging+and+behavior&rft.au=Zhang%2C+Xi&rft.au=Li%2C+Dandan&rft.au=Yuan%2C+Yuting&rft.au=Han%2C+Xuebing&rft.date=2025-10-01&rft.eissn=1931-7565&rft.volume=19&rft.issue=5&rft.spage=1087&rft_id=info:doi/10.1007%2Fs11682-025-01036-3&rft_id=info%3Apmid%2F40571838&rft.externalDocID=40571838
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1931-7565&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1931-7565&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1931-7565&client=summon