Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study

N. Bergsland, D. Horakova, MG. Dwyer, T. Uher, M. Vaneckova, M. Tyblova, Z. Seidl, J. Krasensky, E. Havrdova, R. Zivadinov,

. 2018 ; 17 (-) : 444-451. [pub] 20171105

Jazyk angličtina Země Nizozemsko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc18024475

Objectives: To investigate spatial patterns of gray matter (GM) atrophy and their association with disability progression in patients with early relapsing-remitting multiple sclerosis (MS) in a longitudinal setting. Methods: Brain MRI and clinical neurological assessments were obtained in 152 MS patients at baseline and after 10 years of follow-up. Patients were classified into those with confirmed disability progression (CDP) (n = 85) and those without CDP (n = 67) at the end of the study. An optimized, longitudinal source-based morphometry (SBM) pipeline, which utilizes independent component analysis, was used to identify eight spatial patterns of common GM volume co-variation in a data-driven manner. GM volume at baseline and rates of change were compared between patients with CDP and those without CDP. Results: The identified patterns generally included structurally or functionally related GM regions. No significant differences were detected at baseline GM volume between the sub-groups. Over the follow-up, patients with CDP experienced a significantly greater rate of GM atrophy within two of the eight patterns, after correction for multiple comparisons (corrected p-values of 0.001 and 0.007). The patterns of GM atrophy associated with the development of CDP included areas involved in motor functioning and cognitive domains such as learning and memory. Conclusion: SBM analysis offers a novel way to study the temporal evolution of regional GM atrophy. Over 10 years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc18024475
003      
CZ-PrNML
005      
20180717085844.0
007      
ta
008      
180709s2018 ne f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.nicl.2017.11.002 $2 doi
035    __
$a (PubMed)29159057
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a ne
100    1_
$a Bergsland, Niels $u Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
245    10
$a Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study / $c N. Bergsland, D. Horakova, MG. Dwyer, T. Uher, M. Vaneckova, M. Tyblova, Z. Seidl, J. Krasensky, E. Havrdova, R. Zivadinov,
520    9_
$a Objectives: To investigate spatial patterns of gray matter (GM) atrophy and their association with disability progression in patients with early relapsing-remitting multiple sclerosis (MS) in a longitudinal setting. Methods: Brain MRI and clinical neurological assessments were obtained in 152 MS patients at baseline and after 10 years of follow-up. Patients were classified into those with confirmed disability progression (CDP) (n = 85) and those without CDP (n = 67) at the end of the study. An optimized, longitudinal source-based morphometry (SBM) pipeline, which utilizes independent component analysis, was used to identify eight spatial patterns of common GM volume co-variation in a data-driven manner. GM volume at baseline and rates of change were compared between patients with CDP and those without CDP. Results: The identified patterns generally included structurally or functionally related GM regions. No significant differences were detected at baseline GM volume between the sub-groups. Over the follow-up, patients with CDP experienced a significantly greater rate of GM atrophy within two of the eight patterns, after correction for multiple comparisons (corrected p-values of 0.001 and 0.007). The patterns of GM atrophy associated with the development of CDP included areas involved in motor functioning and cognitive domains such as learning and memory. Conclusion: SBM analysis offers a novel way to study the temporal evolution of regional GM atrophy. Over 10 years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning.
650    _2
$a atrofie $7 D001284
650    _2
$a mozek $x diagnostické zobrazování $x patologie $7 D001921
650    _2
$a mapování mozku $7 D001931
650    12
$a progrese nemoci $7 D018450
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a šedá hmota $x diagnostické zobrazování $x patologie $7 D066128
650    _2
$a lidé $7 D006801
650    _2
$a longitudinální studie $7 D008137
650    _2
$a magnetická rezonanční tomografie $7 D008279
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a lidé středního věku $7 D008875
650    _2
$a relabující-remitující roztroušená skleróza $x diagnostické zobrazování $x patologie $7 D020529
655    _2
$a časopisecké články $7 D016428
700    1_
$a Horakova, Dana $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
700    1_
$a Dwyer, Michael G $u Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
700    1_
$a Uher, Tomas $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
700    1_
$a Vaneckova, Manuela $u Department of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
700    1_
$a Tyblova, Michaela $u Department of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
700    1_
$a Seidl, Zdenek $u Department of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
700    1_
$a Krasensky, Jan $u Department of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
700    1_
$a Havrdova, Eva $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
700    1_
$a Zivadinov, Robert $u Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA. Translational Imaging Center at Clinical Translational Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA.
773    0_
$w MED00188130 $t NeuroImage. Clinical $x 2213-1582 $g Roč. 17, č. - (2018), s. 444-451
856    41
$u https://pubmed.ncbi.nlm.nih.gov/29159057 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20180709 $b ABA008
991    __
$a 20180717090143 $b ABA008
999    __
$a ok $b bmc $g 1316606 $s 1021396
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2018 $b 17 $c - $d 444-451 $e 20171105 $i 2213-1582 $m NeuroImage. Clinical $n Neuroimage Clin $x MED00188130
LZP    __
$a Pubmed-20180709

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...