Microstructural fronto-striatal and temporo-insular alterations are associated with fatigue in patients with multiple sclerosis independent of white matter lesion load and depression

Miklos Palotai, Michele Cavallari, Ismail Koubiyr, Alfredo Morales Pinzon, Aria Nazeri, Brian C. Healy, Bonnie Glanz, Howard L. Weiner, Tanuja Chitnis, Charles R.G. Guttmann

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Background: Fatigue in multiple sclerosis (MS) has been inconsistently associated with disruption of specific brain circuitries. Temporal fluctuations of fatigue have not been considered. Objective: The aim of this study was to investigate the association of fatigue with brain diffusion abnormalities, using robust criteria for patient stratification based on longitudinal patterns of fatigue. Methods: Patient stratification: (1) sustained fatigue (SF, n = 26): latest two Modified Fatigue Impact Scale (MFIS) ⩾ 38; (2) reversible fatigue (RF, n = 25): latest MFIS < 38 and minimum one previous MFIS ⩾ 38; and (3) never fatigued (NF, n = 42): MFIS always < 38 (five assessments minimum). 3T brain magnetic resonance imaging (MRI) was used to perform voxel-wise comparison of fractional anisotropy (FA) between the groups controlling for age, sex, disease duration, physical disability, white matter lesion load (T2LV), and depression. Results: SF and, to a lesser extent, RF patients showed lower FA in multiple brain regions compared to NF patients, independent of age, sex, disease duration, and physical disability. In cingulo-postcommissural-striato-thalamic regions, the differences in FA between SF and NF (but not between RF and NF or SF) patients were independent of T2LV, and in ventromedial prefronto-precommissuro-striatal and temporo-insular areas, independent of T2LV and depression. Conclusion: Damage to ventromedial prefronto-precommissuro-striatal and temporo-insular pathways appears to be a specific substrate of SF in MS.

Original languageEnglish (US)
Pages (from-to)1708-1718
Number of pages11
JournalMultiple Sclerosis Journal
Volume26
Issue number13
DOIs
StatePublished - Nov 1 2020
Externally publishedYes

Keywords

  • MRI
  • Multiple sclerosis
  • diffusion tensor imaging
  • fatigue
  • voxel-wise analysis

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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