Literature DB >> 30039613

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

K Yarraguntla1, N Seraji-Bozorgzad1, S Lichtman-Mikol1, S Razmjou1, F Bao1, S Sriwastava2, C Santiago-Martinez2, O Khan1,2, E Bernitsas2.   

Abstract

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: 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.
RESULTS: 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.
© 2018 by the American Society of Neuroimaging.

Entities:  

Keywords:  Fatigue; magnetic resonance imaging; multiple sclerosis; pallidum; temporal lobe

Mesh:

Year:  2018        PMID: 30039613     DOI: 10.1111/jon.12548

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  3 in total

1.  Brain structural connectomes indicate shared neural circuitry involved in subjective experience of cognitive and physical fatigue in older adults.

Authors:  Timothy M Baran; Zhengwu Zhang; Andrew James Anderson; Kelsey McDermott; Feng Lin
Journal:  Brain Imaging Behav       Date:  2020-12       Impact factor: 3.978

Review 2.  Multiple sclerosis-related fatigue lacks a unified definition: A narrative review.

Authors:  Iman Adibi; Mehdi Sanayei; Farinaz Tabibian; Neda Ramezani; Ahmad Pourmohammadi; Kiarash Azimzadeh
Journal:  J Res Med Sci       Date:  2022-03-17       Impact factor: 1.852

3.  Brain structural and functional connectivity alterations are associated with fatigue in neuromyelitis optica spectrum disorder.

Authors:  Ying Zhang; Hong-Xi Chen; Zi-Yan Shi; Qin Du; Jian-Cheng Wang; Xiao-Fei Wang; Yu-Han Qiu; Yan-Lin Lang; Ling-Yao Kong; Lin-Jun Cai; Xue Lin; Zi-Chao Mou; Wen-Qin Luo; Shuang-Jie Li; Hong-Yu Zhou
Journal:  BMC Neurol       Date:  2022-06-27       Impact factor: 2.903

  3 in total

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