The contribution of voxel-based morphometry in staging patients with mild cognitive impairment

To assess whether different patterns of regional gray matter loss in patients with mild cognitive impairment (MCI) are associated with different risks of conversion to Alzheimer disease (AD), using MRI and voxel-based morphometry (VBM). The authors recruited 22 patients with MCI, 22 patients with pr...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Neurology Ročník 67; číslo 3; s. 453
Hlavní autoři: Bozzali, M, Filippi, M, Magnani, G, Cercignani, M, Franceschi, M, Schiatti, E, Castiglioni, S, Mossini, R, Falautano, M, Scotti, G, Comi, G, Falini, A
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 08.08.2006
Témata:
ISSN:1526-632X, 1526-632X
On-line přístup:Zjistit podrobnosti o přístupu
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract To assess whether different patterns of regional gray matter loss in patients with mild cognitive impairment (MCI) are associated with different risks of conversion to Alzheimer disease (AD), using MRI and voxel-based morphometry (VBM). The authors recruited 22 patients with MCI, 22 patients with probable AD, and 20 healthy subjects (HS). T1 volumes from each subject were postprocessed according to an optimized VBM protocol. All patients were clinically followed up (mean [SD] time = 28.7 [5.7] months), and patients with MCI were reclassified into two groups (converters and nonconverters to AD). When comparing patients with AD to HS, widespread areas of reduced gray matter density were found predominantly in temporal, frontal, and parietal lobes and in the insula. Comparing MCI converters and nonconverters with HS, the converters showed more widespread areas of reduced gray matter density than nonconverters, with a pattern of abnormalities similar to that seen in patients with AD. Conversely, when comparing the same groups with patients with AD, MCI nonconverters showed a pattern of gray matter density similar to that of HS. Areas of decreased gray matter density were also found in MCI converters compared with nonconverters. Different patterns of gray matter density distribution in patients with mild cognitive impairment may be associated to different rates of conversion to Alzheimer disease.
AbstractList To assess whether different patterns of regional gray matter loss in patients with mild cognitive impairment (MCI) are associated with different risks of conversion to Alzheimer disease (AD), using MRI and voxel-based morphometry (VBM).OBJECTIVETo assess whether different patterns of regional gray matter loss in patients with mild cognitive impairment (MCI) are associated with different risks of conversion to Alzheimer disease (AD), using MRI and voxel-based morphometry (VBM).The authors recruited 22 patients with MCI, 22 patients with probable AD, and 20 healthy subjects (HS). T1 volumes from each subject were postprocessed according to an optimized VBM protocol. All patients were clinically followed up (mean [SD] time = 28.7 [5.7] months), and patients with MCI were reclassified into two groups (converters and nonconverters to AD).METHODSThe authors recruited 22 patients with MCI, 22 patients with probable AD, and 20 healthy subjects (HS). T1 volumes from each subject were postprocessed according to an optimized VBM protocol. All patients were clinically followed up (mean [SD] time = 28.7 [5.7] months), and patients with MCI were reclassified into two groups (converters and nonconverters to AD).When comparing patients with AD to HS, widespread areas of reduced gray matter density were found predominantly in temporal, frontal, and parietal lobes and in the insula. Comparing MCI converters and nonconverters with HS, the converters showed more widespread areas of reduced gray matter density than nonconverters, with a pattern of abnormalities similar to that seen in patients with AD. Conversely, when comparing the same groups with patients with AD, MCI nonconverters showed a pattern of gray matter density similar to that of HS. Areas of decreased gray matter density were also found in MCI converters compared with nonconverters.RESULTSWhen comparing patients with AD to HS, widespread areas of reduced gray matter density were found predominantly in temporal, frontal, and parietal lobes and in the insula. Comparing MCI converters and nonconverters with HS, the converters showed more widespread areas of reduced gray matter density than nonconverters, with a pattern of abnormalities similar to that seen in patients with AD. Conversely, when comparing the same groups with patients with AD, MCI nonconverters showed a pattern of gray matter density similar to that of HS. Areas of decreased gray matter density were also found in MCI converters compared with nonconverters.Different patterns of gray matter density distribution in patients with mild cognitive impairment may be associated to different rates of conversion to Alzheimer disease.CONCLUSIONSDifferent patterns of gray matter density distribution in patients with mild cognitive impairment may be associated to different rates of conversion to Alzheimer disease.
To assess whether different patterns of regional gray matter loss in patients with mild cognitive impairment (MCI) are associated with different risks of conversion to Alzheimer disease (AD), using MRI and voxel-based morphometry (VBM). The authors recruited 22 patients with MCI, 22 patients with probable AD, and 20 healthy subjects (HS). T1 volumes from each subject were postprocessed according to an optimized VBM protocol. All patients were clinically followed up (mean [SD] time = 28.7 [5.7] months), and patients with MCI were reclassified into two groups (converters and nonconverters to AD). When comparing patients with AD to HS, widespread areas of reduced gray matter density were found predominantly in temporal, frontal, and parietal lobes and in the insula. Comparing MCI converters and nonconverters with HS, the converters showed more widespread areas of reduced gray matter density than nonconverters, with a pattern of abnormalities similar to that seen in patients with AD. Conversely, when comparing the same groups with patients with AD, MCI nonconverters showed a pattern of gray matter density similar to that of HS. Areas of decreased gray matter density were also found in MCI converters compared with nonconverters. Different patterns of gray matter density distribution in patients with mild cognitive impairment may be associated to different rates of conversion to Alzheimer disease.
Author Comi, G
Cercignani, M
Magnani, G
Castiglioni, S
Bozzali, M
Franceschi, M
Scotti, G
Filippi, M
Schiatti, E
Mossini, R
Falautano, M
Falini, A
Author_xml – sequence: 1
  givenname: M
  surname: Bozzali
  fullname: Bozzali, M
  email: m.bozzali@fil.ion.ucl.ac.uk
  organization: Neuroimaging Research Unit, Scientific Institute and University Ospedale San Raffaele, Milan, Italy. m.bozzali@fil.ion.ucl.ac.uk
– sequence: 2
  givenname: M
  surname: Filippi
  fullname: Filippi, M
– sequence: 3
  givenname: G
  surname: Magnani
  fullname: Magnani, G
– sequence: 4
  givenname: M
  surname: Cercignani
  fullname: Cercignani, M
– sequence: 5
  givenname: M
  surname: Franceschi
  fullname: Franceschi, M
– sequence: 6
  givenname: E
  surname: Schiatti
  fullname: Schiatti, E
– sequence: 7
  givenname: S
  surname: Castiglioni
  fullname: Castiglioni, S
– sequence: 8
  givenname: R
  surname: Mossini
  fullname: Mossini, R
– sequence: 9
  givenname: M
  surname: Falautano
  fullname: Falautano, M
– sequence: 10
  givenname: G
  surname: Scotti
  fullname: Scotti, G
– sequence: 11
  givenname: G
  surname: Comi
  fullname: Comi, G
– sequence: 12
  givenname: A
  surname: Falini
  fullname: Falini, A
BackLink https://www.ncbi.nlm.nih.gov/pubmed/16894107$$D View this record in MEDLINE/PubMed
BookMark eNpNUF1LwzAUDTJxH_oXJPjgW2tyk6Xtowy_YODLBJ8saZpukSapTbq5f2_BCR643MO5lwPnzNHEeacRuqEkpUDhjtD04NqUjADIgbN0KYRYpgrO0IwuQSSCwfvkH5-ieQifhIxCVlygKRV5wSnJZuhjs9NYeRd7Uw3ReId9g_f-W7dJJYOusfV9t_NWx_6IjcMhyq1xW9zJaLSLAR9M3GFr2np02ToTzV5jYztpejveL9F5I9ugr057gd4eHzar52T9-vSyul8nivEsJkUjJYNxGFPVGEgoKbOaayZzUFle6KqQhJGs4pLXVcFy0nAKjOUNU9AoBgt0--vb9f5r0CGW1gSl21Y67YdQijwDwcf4C3R9ehwqq-uy642V_bH8awR-AOWMaYI
CitedBy_id crossref_primary_10_1016_j_jocn_2011_12_031
crossref_primary_10_1016_j_neuroimage_2007_06_016
crossref_primary_10_1038_mp_2010_90
crossref_primary_10_1016_j_neuroimage_2009_11_046
crossref_primary_10_3233_JAD_150961
crossref_primary_10_1016_j_neuroimage_2010_09_004
crossref_primary_10_1007_s11682_015_9469_2
crossref_primary_10_1212_01_wnl_0000287091_57376_65
crossref_primary_10_1002_gps_1932
crossref_primary_10_1097_WCO_0000000000000345
crossref_primary_10_1186_s40035_015_0027_z
crossref_primary_10_3389_fneur_2017_00739
crossref_primary_10_1093_cercor_bhaa034
crossref_primary_10_3390_s20113243
crossref_primary_10_1016_j_neurobiolaging_2010_04_029
crossref_primary_10_1016_j_neulet_2008_04_021
crossref_primary_10_1212_01_wnl_0000340981_97664_2f
crossref_primary_10_1016_j_media_2018_11_006
crossref_primary_10_1016_j_neubiorev_2023_105393
crossref_primary_10_1016_j_neuropsychologia_2007_11_037
crossref_primary_10_1016_j_nurt_2007_05_009
crossref_primary_10_1016_j_neuroimage_2007_09_073
crossref_primary_10_1016_j_neuroimage_2011_11_063
crossref_primary_10_3390_brainsci11091174
crossref_primary_10_2217_nmt_12_13
crossref_primary_10_3233_JAD_215568
crossref_primary_10_1002_hbm_20883
crossref_primary_10_3389_fnagi_2019_00245
crossref_primary_10_1111_j_1532_5415_2008_01684_x
crossref_primary_10_1016_j_biopsych_2013_04_015
crossref_primary_10_1016_j_mri_2008_01_044
crossref_primary_10_1017_S135561771000069X
crossref_primary_10_1159_000449130
crossref_primary_10_1016_j_neuroscience_2009_02_001
crossref_primary_10_1155_2014_920902
crossref_primary_10_3389_fnhum_2015_00471
crossref_primary_10_1016_j_jns_2009_06_005
crossref_primary_10_1016_j_jneumeth_2016_06_013
crossref_primary_10_1111_j_1468_1331_2012_03859_x
crossref_primary_10_1177_0284185117734418
crossref_primary_10_3390_diagnostics12071768
crossref_primary_10_3233_JAD_160382
crossref_primary_10_3389_fnagi_2021_796067
crossref_primary_10_1016_j_bandc_2010_11_003
crossref_primary_10_1177_0284185116640162
crossref_primary_10_1371_journal_pone_0173372
crossref_primary_10_1016_j_mri_2007_03_017
crossref_primary_10_1186_s13195_018_0462_z
crossref_primary_10_3233_JAD_210171
crossref_primary_10_1007_s11357_025_01799_z
crossref_primary_10_1007_s12264_024_01218_x
crossref_primary_10_3233_JAD_200659
crossref_primary_10_1109_TBME_2015_2496233
crossref_primary_10_2217_bmm_14_42
crossref_primary_10_1016_j_pscychresns_2020_111108
crossref_primary_10_1371_journal_pone_0028664
crossref_primary_10_1586_14737175_8_11_1691
crossref_primary_10_1586_14737175_2013_856265
crossref_primary_10_1002_gps_2036
crossref_primary_10_1016_j_neuroimage_2011_09_043
crossref_primary_10_1016_j_nicl_2018_101645
crossref_primary_10_1002_jmri_24966
crossref_primary_10_1016_j_neuropsychologia_2013_07_023
crossref_primary_10_1179_174313209X405164
crossref_primary_10_1016_j_neuroimage_2007_10_031
crossref_primary_10_1016_j_neuroimage_2008_07_013
crossref_primary_10_1016_j_neuroimage_2010_08_009
crossref_primary_10_1016_j_neuropsychologia_2007_10_026
crossref_primary_10_1016_j_neuroimage_2013_04_063
crossref_primary_10_1148_radiol_2017170188
crossref_primary_10_1002_jmri_27272
crossref_primary_10_1007_s10072_025_08023_y
crossref_primary_10_1016_j_neuropsychologia_2010_12_031
crossref_primary_10_1016_j_jns_2008_12_009
crossref_primary_10_3390_ijms19123702
crossref_primary_10_3389_fneur_2024_1510522
crossref_primary_10_1016_j_neurobiolaging_2009_11_008
crossref_primary_10_1111_j_1440_1819_2010_02076_x
crossref_primary_10_1002_gps_1627
crossref_primary_10_1002_hbm_22741
crossref_primary_10_1016_j_bbr_2012_08_007
crossref_primary_10_1016_j_jns_2012_02_010
crossref_primary_10_1016_j_neuroimage_2008_02_043
crossref_primary_10_1093_cercor_bhx273
crossref_primary_10_1016_j_neuroimage_2009_11_068
crossref_primary_10_3233_JAD_170995
crossref_primary_10_1016_j_neuroimage_2009_12_025
crossref_primary_10_1016_j_neuroimage_2008_01_056
crossref_primary_10_1111_j_1600_0404_2007_00825_x
crossref_primary_10_1155_2018_3954101
crossref_primary_10_1016_j_neuroimage_2015_02_037
crossref_primary_10_1212_01_wnl_0000280575_77437_a2
crossref_primary_10_1002_hbm_24799
crossref_primary_10_1016_j_neurobiolaging_2009_09_006
crossref_primary_10_1002_hbm_22531
crossref_primary_10_1148_radiol_10101284
crossref_primary_10_1002_hbm_22370
crossref_primary_10_1016_j_clinph_2020_03_003
crossref_primary_10_1016_j_jneuroling_2012_02_002
crossref_primary_10_1016_j_neurobiolaging_2008_03_014
crossref_primary_10_1002_hbm_21287
crossref_primary_10_1139_jpn_0918
crossref_primary_10_1016_j_neubiorev_2011_06_009
crossref_primary_10_1016_j_brainres_2008_12_044
crossref_primary_10_1016_j_cortex_2009_05_006
crossref_primary_10_1016_j_bspc_2023_105773
crossref_primary_10_1016_j_neurobiolaging_2011_05_018
crossref_primary_10_1002_gps_2216
crossref_primary_10_1038_s41598_017_08667_7
crossref_primary_10_1093_cercor_bhs246
crossref_primary_10_1093_cercor_bhn113
crossref_primary_10_4316_AECE_2017_02015
crossref_primary_10_1016_j_neubiorev_2011_12_001
crossref_primary_10_1016_j_neuroimage_2009_02_043
crossref_primary_10_1111_j_1468_2982_2008_01550_x
ContentType Journal Article
DBID CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1212/01.wnl.0000228243.56665.c2
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
MEDLINE
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 no_fulltext_linktorsrc
Discipline Medicine
EISSN 1526-632X
ExternalDocumentID 16894107
Genre Journal Article
GroupedDBID ---
-~X
.55
.GJ
.XZ
.Z2
01R
0R~
123
1J1
1KJ
354
3PY
4Q1
4Q2
4Q3
53G
5RE
5VS
6PF
77Y
AAAXR
AAGIX
AAHPQ
AAIQE
AAJCS
AAMOA
AAMTA
AAQKA
AARTV
AASCR
AASOK
AASXQ
AAWTL
AAXQO
AAYEP
AAYOK
ABBLC
ABIVO
ABJNI
ABOCM
ABVCZ
ACCJW
ACDDN
ACGFS
ACIJW
ACILI
ACLDA
ACOAL
ACWRI
ACXJB
ADGGA
ADNKB
AE6
AEBDS
AENEX
AFDTB
AFEXH
AFFNX
AFUWQ
AGINI
AHOMT
AHQNM
AHVBC
AIJEX
AJCLO
AKCTQ
AKULP
AKWKN
ALMA_UNASSIGNED_HOLDINGS
AMJPA
AMKUR
AMNEI
AOHHW
AWKKM
BOYCO
BQLVK
BYPQX
C45
CGR
CS3
CUY
CVF
DIWNM
DU5
E.X
EBS
ECM
EIF
EJD
ERAAH
EX3
F2K
F2L
F2M
F2N
F5P
FCALG
FW0
GQDEL
HZ~
H~9
IKYAY
IN~
J5H
JF7
KD2
KMI
L-C
L7B
N4W
N9A
NEJ
NPM
N~7
N~B
O9-
OAG
OAH
OBH
ODMTH
OHH
OHYEH
OJAPA
OL1
OLB
OLH
OLU
OLV
OLW
OLY
OLZ
OPX
OVD
OVDNE
OVIDH
OVLEI
OWU
OWV
OWW
OWX
OWY
OWZ
OXXIT
P2P
RHI
RLZ
RXW
SJN
TEORI
V2I
VVN
VXZ
W3M
WH7
WOQ
WOW
X7M
XJT
XOL
XSW
XXN
XYM
XYN
YBU
YCJ
YFH
ZKB
~9M
7X8
ABPXF
ABXYN
ABZZY
ACZKN
ADKSD
ADSXY
AFNMH
AHQVU
ID FETCH-LOGICAL-c347t-9faa32aa333cb2436caa7d4e3a82c789eb9a0307b4a4db9380f412338f3c2fc32
IEDL.DBID 7X8
ISICitedReferencesCount 156
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000239603500018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1526-632X
IngestDate Thu Oct 02 06:35:35 EDT 2025
Wed Feb 19 01:53:42 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c347t-9faa32aa333cb2436caa7d4e3a82c789eb9a0307b4a4db9380f412338f3c2fc32
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
PMID 16894107
PQID 68726415
PQPubID 23479
ParticipantIDs proquest_miscellaneous_68726415
pubmed_primary_16894107
PublicationCentury 2000
PublicationDate 2006-08-08
PublicationDateYYYYMMDD 2006-08-08
PublicationDate_xml – month: 08
  year: 2006
  text: 2006-08-08
  day: 08
PublicationDecade 2000
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Neurology
PublicationTitleAlternate Neurology
PublicationYear 2006
SSID ssj0015279
Score 2.2938526
Snippet To assess whether different patterns of regional gray matter loss in patients with mild cognitive impairment (MCI) are associated with different risks of...
SourceID proquest
pubmed
SourceType Aggregation Database
Index Database
StartPage 453
SubjectTerms Aged
Alzheimer Disease - complications
Brain Mapping
Cognition Disorders - complications
Cognition Disorders - pathology
Disease Progression
Female
Humans
Magnetic Resonance Imaging
Male
Title The contribution of voxel-based morphometry in staging patients with mild cognitive impairment
URI https://www.ncbi.nlm.nih.gov/pubmed/16894107
https://www.proquest.com/docview/68726415
Volume 67
WOSCitedRecordID wos000239603500018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELYKRYiF96M8PbC6bWzHcSQkhBAVS6sOIGUicmxHitQmpS0F_j3nPGBCDAxJpkjR5fPd57vzdwhdm76yTtecWN9qwhn3ieKJINQTEH9CzROpy2ETwWgkoygct9BNcxbGtVU2PrF01KbQLkfeEzKA2O35t7NX4mZGudpqPUBjDbUZEBmH6SD6qSH4tFTag6cggtGolhwFX93re933fFJqF1LYc3DWBVYj_K6mvxPNMuAMdv73qbtouyaa-K5Cxh5q2XwfbQ7rUvoBegGA4LJRvZ54hYsUr4oPOyEushk8LeAXFFO7nH_iLMfAIt08I1wLsS6wy-DiaTYx-LsFCbszl9ncJRwP0fPg4en-kdTDFohmPFiSMFWKUbgY0wlYRGilAsMtU5LqQIY2CZVzCAlX3CQhk_2UQ9RjMmWapprRI7SeF7k9QdjqBGgY8AJuBU9CIalR1mOKGp9z49EOumrsFgOYXYVC5bZ4W8SN5TrouDJ9PKs0N2KATshhq3r657tnaKtKkzjl7XPUTmEZ2wu0oVfLbDG_LDEC99F4-AVf2sbr
linkProvider ProQuest
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=The+contribution+of+voxel-based+morphometry+in+staging+patients+with+mild+cognitive+impairment&rft.jtitle=Neurology&rft.au=Bozzali%2C+M&rft.au=Filippi%2C+M&rft.au=Magnani%2C+G&rft.au=Cercignani%2C+M&rft.date=2006-08-08&rft.issn=1526-632X&rft.eissn=1526-632X&rft.volume=67&rft.issue=3&rft.spage=453&rft_id=info:doi/10.1212%2F01.wnl.0000228243.56665.c2&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1526-632X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1526-632X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1526-632X&client=summon