Literature DB >> 33582965

Gray Matter Atrophy in the Cortico-Striatal-Thalamic Network and Sensorimotor Network in Relapsing-Remitting and Primary Progressive Multiple Sclerosis.

Yuan Cao1,2, Wei Diao1,2, Fangfang Tian1,2, Feifei Zhang2, Laichang He3, Xipeng Long1,2, Fuqinq Zhou3, Zhiyun Jia4,5.   

Abstract

Gray matter atrophy in multiple sclerosis (MS) is thought to be associated with disability and cognitive impairment, but previous studies have sometimes had discordant results, and the atrophy patterns of relapsing-remitting multiple sclerosis (RRMS) and primary progressive multiple sclerosis (PPMS) remain to be clarified. We conducted a meta-analysis using anisotropic effect-size-based algorithms (AES-SDM) to identify consistent findings from whole-brain voxel-based morphometry (VBM) studies of gray matter volume (GMV) in 924 RRMS patients and 204 PPMS patients. This study is registered with PROSPERO (number CRD42019121319). Compared with healthy controls, RRMS and PPMS patients showed gray matter atrophy in the cortico-striatal-thalamic network, sensorimotor network, and bilateral insula. RRMS patients had a larger GMV in the left insula, cerebellum, right precentral gyrus, and bilateral putamen as well as a smaller GMV in the bilateral cingulate, caudate nucleus, right thalamus, superior temporal gyrus and left postcentral gyrus than PPMS patients. The disease duration, Expanded Disability Status Scale score, Paced Auditory Serial Addition Test z-score, and T2-weighted lesion load were associated with specific gray matter regions in RRMS or PPMS. Alterations in the cortico-striatal-thalamic networks, sensorimotor network, and insula may be involved in the common pathogenesis of RRMS and PPMS. The deficits in the cingulate gyrus and caudate nucleus are more apparent in RRMS than in PPMS. The more severe cerebellum atrophy in PPMS may be a brain feature associated with its neurological manifestations. These imaging biomarkers provide morphological evidence for the pathophysiology of MS and should be verified in future research.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Entities:  

Keywords:  Cortico-striatal-thalamic networks; Gray matter atrophy; Multiple sclerosis; Sensorimotor network

Mesh:

Year:  2021        PMID: 33582965     DOI: 10.1007/s11065-021-09479-3

Source DB:  PubMed          Journal:  Neuropsychol Rev        ISSN: 1040-7308            Impact factor:   7.444


  42 in total

Review 1.  Voxel-based morphometry--the methods.

Authors:  J Ashburner; K J Friston
Journal:  Neuroimage       Date:  2000-06       Impact factor: 6.556

2.  The topographical distribution of tissue injury in benign MS: a 3T multiparametric MRI study.

Authors:  Antonia Ceccarelli; Maria A Rocca; Elisabetta Pagani; Angelo Ghezzi; Ruggero Capra; Andrea Falini; Giuseppe Scotti; Giancarlo Comi; Massimo Filippi
Journal:  Neuroimage       Date:  2007-11-13       Impact factor: 6.556

3.  Basics of meta-analysis: I2 is not an absolute measure of heterogeneity.

Authors:  Michael Borenstein; Julian P T Higgins; Larry V Hedges; Hannah R Rothstein
Journal:  Res Synth Methods       Date:  2017-01-06       Impact factor: 5.273

4.  Attention and processing speed performance in multiple sclerosis is mostly related to thalamic volume.

Authors:  Alvino Bisecco; Svetlana Stamenova; Giuseppina Caiazzo; Alessandro d'Ambrosio; Rosaria Sacco; Renato Docimo; Sabrina Esposito; Mario Cirillo; Fabrizio Esposito; Simona Bonavita; Gioacchino Tedeschi; Antonio Gallo
Journal:  Brain Imaging Behav       Date:  2018-02       Impact factor: 3.978

5.  Gray matter atrophy is associated with functional connectivity reorganization during the Paced Auditory Serial Addition Test (PASAT) execution in Multiple Sclerosis (MS).

Authors:  Sabina Anna Baltruschat; Noelia Ventura-Campos; Álvaro Javier Cruz-Gómez; Antonio Belenguer; Cristina Forn
Journal:  J Neuroradiol       Date:  2015-04-06       Impact factor: 3.447

6.  White matter volume loss in amyotrophic lateral sclerosis: A meta-analysis of voxel-based morphometry studies.

Authors:  Guangxiang Chen; Baiwan Zhou; Hongyan Zhu; Weihong Kuang; Feng Bi; Hua Ai; Zhongwei Gu; Xiaoqi Huang; Su Lui; Qiyong Gong
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2018-01-09       Impact factor: 5.067

Review 7.  Cortical pathology and cognitive impairment in multiple sclerosis.

Authors:  Massimiliano Calabrese; Francesca Rinaldi; Paola Grossi; Paolo Gallo
Journal:  Expert Rev Neurother       Date:  2011-03       Impact factor: 4.618

Review 8.  Risk factors for and management of cognitive dysfunction in multiple sclerosis.

Authors:  Ralph H B Benedict; Robert Zivadinov
Journal:  Nat Rev Neurol       Date:  2011-05-10       Impact factor: 42.937

9.  A multiparametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis.

Authors:  Antonia Ceccarelli; Maria A Rocca; Paola Valsasina; Mariaemma Rodegher; Elisabetta Pagani; Andrea Falini; Giancarlo Comi; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

10.  Localization of grey matter atrophy in early RRMS : A longitudinal study.

Authors:  Bertrand Audoin; Gerard R Davies; Leonara Finisku; Declan T Chard; Alan J Thompson; David H Miller
Journal:  J Neurol       Date:  2006-11-08       Impact factor: 4.849

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1.  Common and specific patterns of functional and structural brain alterations in schizophrenia and bipolar disorder: a multimodal voxel-based meta-analysis.

Authors:  Zhangzhang Qi; Junjing Wang; Jiaying Gong; Ting Su; Siying Fu; Li Huang; Ying Wang
Journal:  J Psychiatry Neurosci       Date:  2022-02-01       Impact factor: 6.186

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