Multiple Sclerosis Fatigue: A Longitudinal Structural MRI and Diffusion Tensor Imaging Study. Issue 6 (23rd July 2018)

• Record Type: Journal Article
• Authors: Yarraguntla, K.; Seraji‐Bozorgzad, N.; Lichtman‐Mikol, S.; Razmjou, S.; Bao, F.; Sriwastava, S.; Santiago‐Martinez, C.; Khan, O.; Bernitsas, E.
• Is Part Of: Journal of neuroimaging. Volume 28:Issue 6(2018)
• Page Start: 650
• Page End: 655
• Publication Date: 2018-07-23
• Subjects: Fatigue -- multiple sclerosis -- magnetic resonance imaging -- pallidum -- temporal lobe; Diagnostic imaging -- Periodicals; Nervous system -- Diseases -- Diagnosis -- Periodicals; Imagerie pour le diagnostic -- Périodiques; Système nerveux -- Maladies -- Diagnostic -- Périodiques; Imagerie médicale; Neuroimagerie; Neurologie; Système nerveux; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.804754
• DOI: 10.1111/jon.12548
• Languages: English
• ISSNs: 1051-2284

Abstract

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.