Multiple Sclerosis Fatigue: A Longitudinal Structural MRI and Diffusion Tensor Imaging Study

被引:15
作者
Yarraguntla, K. [1 ]
Seraji-Bozorgzad, N. [1 ]
Lichtman-Mikol, S. [1 ]
Razmjou, S. [1 ]
Bao, F. [1 ]
Sriwastava, S. [2 ]
Santiago-Martinez, C. [2 ]
Khan, O. [1 ,2 ]
Bernitsas, E. [2 ]
机构
[1] Wayne State Sch Med, Sastry Fdn Adv Imaging Lab, 4201 St Antoine, Detroit, MI 48201 USA
[2] Wayne State Univ, Sch Med, Dept Neurol, Multiple Sclerosis Ctr, Detroit, MI 48201 USA
关键词
Fatigue; multiple sclerosis; magnetic resonance imaging; pallidum; temporal lobe; ORAL FINGOLIMOD FTY720; SURFACE-BASED ANALYSIS; CORTICAL ATROPHY; PHASE-II; BRAIN; MS; IMPACT; IMAGES; ABNORMALITIES; SEGMENTATION;
D O I
10.1111/jon.12548
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND AND PURPOSE Previous cross-sectional studies have reported the involvement of thalamus, pallidum, superior cerebellar peduncle, temporal cortex, and fronto-parietal white matter in multiple sclerosis (MS)-related fatigue. However, the longitudinal imaging correlates of fatigue severity variation in MS remain unclear. METHODS RESULTS Structural and diffusion tensor imaging (DTI) data were collected from 43 relapsing remitting MS (RRMS) patients with fatigue (Fatigue Severity Scale [FSS] range: 1-7). Subcortical nuclei volume using FreeSurfer and cortical diffusion indices using a cross-modality technique were measured at baseline and year 1. The pallidal volume had significantly decreased (P = .002) by year 1, although the fatigue score variation was not significant. At year 1, the pallidal volume (P = .023) and fractional anisotropy (FA, P = .013) of right temporal cortex (RTC) correlated significantly with FSS. CONCLUSIONS The pallidal volume and the FA-RTC may be used to evaluate longitudinal fatigue severity variation. Our study proposes new biomarkers to monitor fatigue severity in MS patients.
引用
收藏
页码:650 / 655
页数:6
相关论文
共 40 条
[21]  
Jaeger S, 2018, MULT SCLER, V1
[22]   DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking [J].
Jiang, HY ;
van Zijl, PCM ;
Kim, J ;
Pearlson, GD ;
Mori, S .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2006, 81 (02) :106-116
[23]  
Krupp LB, 1998, ARCH NEUROL-CHICAGO, V46, P1121
[24]   Clinical Applications of Diffusion Tensor Imaging [J].
Lerner, Alexander ;
Mogensen, Monique A. ;
Kim, Paul E. ;
Shiroishi, Mark S. ;
Hwang, Darryl H. ;
Law, Meng .
WORLD NEUROSURGERY, 2014, 82 (1-2) :96-109
[25]   Association of fatigue and brain atrophy in multiple sclerosis [J].
Marrie, RA ;
Fisher, E ;
Miller, DM ;
Lee, JC ;
Rudick, RA .
JOURNAL OF THE NEUROLOGICAL SCIENCES, 2005, 228 (02) :161-166
[26]   Fatigue evaluation in fingolimod treated patients: An observational study [J].
Masingue, Marion ;
Debs, Rabab ;
Maillart, Elisabeth ;
Delvaux, Valerie ;
Lubetzki, Catherine ;
Vidal, Jean-Sebastien ;
Papeix, Caroline .
MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2017, 14 :8-11
[27]   Decreased Basal Ganglia Activation in Subjects with Chronic Fatigue Syndrome: Association with Symptoms of Fatigue [J].
Miller, Andrew H. ;
Jones, James F. ;
Drake, Daniel F. ;
Tian, Hao ;
Unger, Elizabeth R. ;
Pagnoni, Giuseppe .
PLOS ONE, 2014, 9 (05)
[28]   A medical definition of fatigue in multiple sclerosis [J].
Mills, R. J. ;
Young, C. A. .
QJM-AN INTERNATIONAL JOURNAL OF MEDICINE, 2008, 101 (01) :49-60
[29]   Oral fingolimod (FTY720) in relapsing multiple sclerosis: impact on health-related quality of life in a phase II study [J].
Montalban, X. ;
Comi, G. ;
O'Connor, P. ;
Gold, S. M. ;
de Vera, A. ;
Eckert, B. ;
Kappos, L. .
MULTIPLE SCLEROSIS JOURNAL, 2011, 17 (11) :1341-1350
[30]   Medical progress: Multiple sclerosis. [J].
Noseworthy, JH ;
Lucchinetti, C ;
Rodriguez, M ;
Weinshenker, BG .
NEW ENGLAND JOURNAL OF MEDICINE, 2000, 343 (13) :938-952