Radiology 2021 Apr 2;299(1):159-166. Epub 2021 Feb 2.
From the Department of Radiology (F.L.C., B.T., P.T.F.), Research Imaging Institute (F.L.C., C.G.F., S.D., J.P.G., P.T.F.), Joe R. and Teresa Lozano Long School of Medicine (F.L.C., M.F., R.S.R., B.T., P.T.F.), and Department of Neurology (R.S.R., P.T.F.), The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, MC7800, San Antonio, TX 78229-3900; Division of Methodology, Measurement and Statistical Analysis, Texas State University, San Marcos, Tex (L.P.); Department of Radiology, Division of Neuroradiology, The University of Texas Southwestern Medical Center, Dallas, Tex (F.F.Y.); Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Mass (S.Y.H.); Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Boston, Mass (S.Y.H.); and South Texas Veteran Health Care System, Research Service, San Antonio, Tex (P.T.F.).
Background In multiple sclerosis (MS), gray matter (GM) atrophy exhibits a specific pattern, which correlates strongly with clinical disability. However, the mechanism of regional specificity in GM atrophy remains largely unknown. Recently, the network degeneration hypothesis (NDH) was quantitatively defined (using coordinate-based meta-analysis) as the atrophy-based functional network (AFN) model, which posits that localized GM atrophy in MS is mediated by functional networks. Read More