Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis. Issue 10 (October 2019)
- Record Type:
- Journal Article
- Title:
- Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis. Issue 10 (October 2019)
- Main Title:
- Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis
- Authors:
- Chiang, F.L.
Wang, Q.
Yu, F.F.
Romero, R.S.
Huang, S.Y.
Fox, P.M.
Tantiwongkosi, B.
Fox, P.T. - Abstract:
- 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. Highlights: Localised grey matter atrophy in multiple sclerosis is clinically relevant. Coordinate-basedAbstract : 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. Highlights: Localised grey matter atrophy in multiple sclerosis is clinically relevant. Coordinate-based meta-analysis determines consistent brain changes. Non-random regions of grey matter atrophy were functionally connected. Our results can guide future quantitative functional imaging marker development. … (more)
- Is Part Of:
- Clinical radiology. Volume 74:Issue 10(2019)
- Journal:
- Clinical radiology
- Issue:
- Volume 74:Issue 10(2019)
- Issue Display:
- Volume 74, Issue 10 (2019)
- Year:
- 2019
- Volume:
- 74
- Issue:
- 10
- Issue Sort Value:
- 2019-0074-0010-0000
- Page Start:
- 816.e19
- Page End:
- 816.e28
- Publication Date:
- 2019-10
- Subjects:
- Medical radiology -- Periodicals
Radiotherapy -- Periodicals
Radiotherapy -- Periodicals
Radiology -- Periodicals
Societies, Medical -- Periodicals
Medical radiology
Radiotherapy
Electronic journals
Periodicals
616.0757 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00099260 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.crad.2019.07.005 ↗
- Languages:
- English
- ISSNs:
- 0009-9260
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.350000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11650.xml