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Clin Radiol. 2019 Oct;74(10):816.e19-816.e28. doi: 10.1016/j.crad.2019.07.005. Epub 2019 Aug 14.

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

Author information

1
Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Electronic address: florence.l.chiang@gmail.com.
2
Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China.
3
Division of Neuroradiology, Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
4
Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
5
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
6
Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
7
Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
8
Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; South Texas Veterans Health Care System, San Antonio, TX, USA. Electronic address: fox@uthscsa.edu.

Abstract

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.

PMID:
31421864
DOI:
10.1016/j.crad.2019.07.005

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