Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis

F. L. Chiang, Q. Wang, F. F. Yu, R. S. Romero, S. Y. Huang, P. M. Fox, B. Tantiwongkosi, P. T. Fox

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


AIM: To test the network degeneration hypothesis in multiple sclerosis (MS) with a two-stage coordinate-based meta-analysis by: (1) characterising regional selectivity of grey matter (GM) atrophy and (2) testing for functional connectivity involving these regions. MATERIALS AND METHODS: Meta-analytic sources included 33 journal articles (1,666 MS patients and 1,269 healthy controls) with coordinate-based results from voxel-based morphometry analysis demonstrating GM atrophy. Mass univariate and multivariate coordinate-based meta-analyses were performed to identify a convergent pattern of GM atrophy and determine inter-regional co-activation (as a surrogate of functional connectivity), with anatomical likelihood estimation and functional meta-analytic connectivity modelling, respectively. RESULTS: Localised GM atrophy was demonstrated in the thalamus, putamen, caudate, sensorimotor cortex, insula, superior temporal gyrus, and cingulate gyrus. This convergent pattern of atrophy displayed significant inter-regional functional co-activations. CONCLUSION: In MS, GM atrophy was regionally selective, and these regions were functionally connected. The meta-analytic model-based results of this study are intended to guide future development of quantitative neuroimaging markers for diagnosis, evaluating disease progression, and monitoring treatment response.

Original languageEnglish (US)
Pages (from-to)816.e19-816.e28
JournalClinical Radiology
Issue number10
StatePublished - Oct 2019

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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