F L Chiang1, Q Wang2, F F Yu3, R S Romero4, S Y Huang5, P M Fox6, B Tantiwongkosi7, P T Fox8. 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. Published by Elsevier Ltd.
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 MSpatients 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. Published by Elsevier Ltd.
Authors: Peter T Fox; Angela R Laird; Sarabeth P Fox; P Mickle Fox; Angela M Uecker; Michelle Crank; Sandra F Koenig; Jack L Lancaster Journal: Hum Brain Mapp Date: 2005-05 Impact factor: 5.038
Authors: J S Damoiseaux; S A R B Rombouts; F Barkhof; P Scheltens; C J Stam; S M Smith; C F Beckmann Journal: Proc Natl Acad Sci U S A Date: 2006-08-31 Impact factor: 11.205
Authors: Florence L Chiang; Max Feng; Rebecca S Romero; Larry Price; Crystal G Franklin; Shengwen Deng; Jodie P Gray; Fang F Yu; Bundhit Tantiwongkosi; Susie Y Huang; Peter T Fox Journal: Radiology Date: 2021-02-02 Impact factor: 11.105
Authors: Thomas J Vanasse; Peter T Fox; P Mickle Fox; Franco Cauda; Tommaso Costa; Stephen M Smith; Simon B Eickhoff; Jack L Lancaster Journal: Commun Biol Date: 2021-03-08