» Articles » PMID: 26026721

Structural Correlates for Fatigue in Early Relapsing Remitting Multiple Sclerosis

Overview
Journal Eur Radiol
Specialty Radiology
Date 2015 Jun 1
PMID 26026721
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Fatigue is a common symptom in multiple sclerosis (MS) patients, even early in the disease, but the pathophysiology remains unclear. We aimed to determine morphologic and microstructural correlates and neuropsychological parameters of cognitive fatigue in early relapsing-remitting MS patients.

Methods: Seventy-nine early relapsing-remitting MS patients (38 with fatigue and 41 without), none of whom suffered from depression, underwent neuropsychological testing. Magnetic resonance imaging was performed using anatomical and diffusion tensor imaging sequences on all patients and 40 controls. Voxel-based morphologic analysis and tract-based spatial statistics were performed.

Results: Only patients with cognitive fatigue, but not those without, exhibited alterations in the thalamic region, showing reduced thalamic fractional anisotropy and increased mean diffusivity values. No differences in lesion volume and lesion distribution were observed between patient groups. In cognitive tests, no significant differences were found between the two groups in the number of patients with pathologic scores; however, subjective cognitive impairment differed.

Conclusion: Morphological alterations and distinct microstructural changes (mainly in the thalamus) but not typical MS lesions were found to be related to cognitive fatigue in early MS. We suggest that compensatory processes adapting to these changes could initially facilitate normal cognitive performance, but also result in a feeling of fatigue.

Key Points: • Morphological alterations and microstructural changes are related to fatigue in multiple sclerosis • Thalamic alterations in particular were related to fatigue in early MS • Fatigued patients exhibited subjective but not measurable cognitive impairment • Compensatory processes help preserve or maintain cognitive performance but also contribute to fatigue.

Citing Articles

Fatigue in early multiple sclerosis: MRI metrics of neuroinflammation, relapse and neurodegeneration.

Meijboom R, Foley P, MacDougall N, Mina Y, York E, Kampaite A Brain Commun. 2024; 6(5):fcae278.

PMID: 39386090 PMC: 11462441. DOI: 10.1093/braincomms/fcae278.


Understanding the mechanisms of fatigue in multiple sclerosis: linking interoception, metacognition and white matter dysconnectivity.

Danciut I, Rae C, Rashid W, Scott J, Bozzali M, Iancu M Brain Commun. 2024; 6(5):fcae292.

PMID: 39291169 PMC: 11406465. DOI: 10.1093/braincomms/fcae292.


Frontal-striatal glucose metabolism and fatigue in patients with multiple sclerosis, long COVID, and COVID-19 recovered controls.

Rudroff T Exp Brain Res. 2024; 242(9):2125-2136.

PMID: 38970653 DOI: 10.1007/s00221-024-06882-z.


Brain connectivity changes underlying depression and fatigue in relapsing-remitting multiple sclerosis: A systematic review.

Kampaite A, Gustafsson R, York E, Foley P, MacDougall N, Bastin M PLoS One. 2024; 19(3):e0299634.

PMID: 38551913 PMC: 10980255. DOI: 10.1371/journal.pone.0299634.


Association of multiple sclerosis with chronic fatigue syndrome, restless legs syndrome, and various sleep disorders, along with the recent updates.

Prajjwal P, Kalluru P, Marsool M, Inban P, Gadam S, Al-Ezzi S Ann Med Surg (Lond). 2023; 85(6):2821-2832.

PMID: 37363482 PMC: 10289738. DOI: 10.1097/MS9.0000000000000929.


References
1.
Freal J, Kraft G, Coryell J . Symptomatic fatigue in multiple sclerosis. Arch Phys Med Rehabil. 1984; 65(3):135-8. View

2.
Genova H, Rajagopalan V, DeLuca J, Das A, Binder A, Arjunan A . Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging. PLoS One. 2013; 8(11):e78811. PMC: 3815348. DOI: 10.1371/journal.pone.0078811. View

3.
Smith S, Nichols T . Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage. 2008; 44(1):83-98. DOI: 10.1016/j.neuroimage.2008.03.061. View

4.
Wylezinska M, Cifelli A, Jezzard P, Palace J, Alecci M, Matthews P . Thalamic neurodegeneration in relapsing-remitting multiple sclerosis. Neurology. 2003; 60(12):1949-54. DOI: 10.1212/01.wnl.0000069464.22267.95. View

5.
Chard D, Parker G, Griffin C, Thompson A, Miller D . The reproducibility and sensitivity of brain tissue volume measurements derived from an SPM-based segmentation methodology. J Magn Reson Imaging. 2002; 15(3):259-67. DOI: 10.1002/jmri.10064. View