BACKGROUND AND PURPOSE: CC is extensively involved in MS with interhemispheric dysfunction. The purpose of this study was to determine whether interhemispheric correlation is altered in MS by use of a recently developed RS-fMRI homotopy technique and whether these homotopic changes correlate with CC pathology. MATERIALS AND METHODS: Twenty-four patients with relapsing-remitting MS and 24 age-matched healthy volunteers were studied with RS-fMRI and DTI acquired at 3T. The Pearson correlation of each pair of symmetric interhemispheric voxels of RS-fMRI time-series data was performed to compute VMHC, and z-transformed for subsequent group-level analysis. In addition, 5 CC segments in the midsagittal area and DTI-derived FA were measured to quantify interhemispheric microstructural changes and correlate with global and regional VMHC in MS. RESULTS: Relative to control participants, patients with MS exhibited an abnormal homotopic pattern with decreased VMHC in the primary visual, somatosensory, and motor cortices and increased VMHC in several regions associated with sensory processing and motor control including the insula, thalamus, pallidum, and cerebellum. The global VMHC correlates moderately with the average FA of the entire CC for all participants in both groups (r = 0.3; P = .03). CONCLUSIONS: Our data provide preliminary evidence of the potential usefulness of VMHC analyses for the detection of abnormalities of interhemispheric coordination in MS. We demonstrated that the whole-brain homotopic RS-fMRI pattern was altered in patients with MS, which was partially associated with the underlying structural degenerative changes of CC measured with FA.
BACKGROUND AND PURPOSE: CC is extensively involved in MS with interhemispheric dysfunction. The purpose of this study was to determine whether interhemispheric correlation is altered in MS by use of a recently developed RS-fMRI homotopy technique and whether these homotopic changes correlate with CC pathology. MATERIALS AND METHODS: Twenty-four patients with relapsing-remitting MS and 24 age-matched healthy volunteers were studied with RS-fMRI and DTI acquired at 3T. The Pearson correlation of each pair of symmetric interhemispheric voxels of RS-fMRI time-series data was performed to compute VMHC, and z-transformed for subsequent group-level analysis. In addition, 5 CC segments in the midsagittal area and DTI-derived FA were measured to quantify interhemispheric microstructural changes and correlate with global and regional VMHC in MS. RESULTS: Relative to control participants, patients with MS exhibited an abnormal homotopic pattern with decreased VMHC in the primary visual, somatosensory, and motor cortices and increased VMHC in several regions associated with sensory processing and motor control including the insula, thalamus, pallidum, and cerebellum. The global VMHC correlates moderately with the average FA of the entire CC for all participants in both groups (r = 0.3; P = .03). CONCLUSIONS: Our data provide preliminary evidence of the potential usefulness of VMHC analyses for the detection of abnormalities of interhemispheric coordination in MS. We demonstrated that the whole-brain homotopic RS-fMRI pattern was altered in patients with MS, which was partially associated with the underlying structural degenerative changes of CC measured with FA.
Authors: Damien A Fair; Nico U F Dosenbach; Jessica A Church; Alexander L Cohen; Shefali Brahmbhatt; Francis M Miezin; Deanna M Barch; Marcus E Raichle; Steven E Petersen; Bradley L Schlaggar Journal: Proc Natl Acad Sci U S A Date: 2007-08-06 Impact factor: 11.205
Authors: James M Johnston; S Neil Vaishnavi; Matthew D Smyth; Dongyang Zhang; Biyu J He; John M Zempel; Joshua S Shimony; Abraham Z Snyder; Marcus E Raichle Journal: J Neurosci Date: 2008-06-18 Impact factor: 6.167
Authors: David E Stark; Daniel S Margulies; Zarrar E Shehzad; Philip Reiss; A M Clare Kelly; Lucina Q Uddin; Dylan G Gee; Amy K Roy; Marie T Banich; F Xavier Castellanos; Michael P Milham Journal: J Neurosci Date: 2008-12-17 Impact factor: 6.167
Authors: Xi-Nian Zuo; Clare Kelly; Jonathan S Adelstein; Donald F Klein; F Xavier Castellanos; Michael P Milham Journal: Neuroimage Date: 2009-11-05 Impact factor: 6.556
Authors: H Diana Rosas; Stephanie Y Lee; Alexander C Bender; Alexandra K Zaleta; Mark Vangel; Peng Yu; Bruce Fischl; Vasanth Pappu; Christina Onorato; Jang-Ho Cha; David H Salat; Steven M Hersch Journal: Neuroimage Date: 2009-10-19 Impact factor: 6.556
Authors: Andrew W Russo; Kirsten E Stockel; Sean M Tobyne; Chanon Ngamsombat; Kristina Brewer; Aapo Nummenmaa; Susie Y Huang; Eric C Klawiter Journal: Brain Struct Funct Date: 2022-05-10 Impact factor: 3.270
Authors: Q Xu; Z Zhang; W Liao; L Xiang; F Yang; Z Wang; G Chen; Q Tan; Q Jiao; G Lu Journal: AJNR Am J Neuroradiol Date: 2014-04-17 Impact factor: 3.825
Authors: Sean M Tobyne; Daria Boratyn; Jessica A Johnson; Douglas N Greve; Caterina Mainero; Eric C Klawiter Journal: Hum Brain Mapp Date: 2016-05-24 Impact factor: 5.038