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Neural distinctiveness of fatigue and low sleep quality in multiple sclerosis.
Ruiz-Rizzo, Adriana L; Bublak, Peter; Kluckow, Steffen; Finke, Kathrin; Gaser, Christian; Schwab, Matthias; Güllmar, Daniel; Müller, Hermann J; Witte, Otto W; Rupprecht, Sven.
Affiliation
  • Ruiz-Rizzo AL; Department of Psychology, General and Experimental Psychology Unit, LMU Munich, Munich, Germany.
  • Bublak P; Department of Neurology, Jena University Hospital, Jena, Germany.
  • Kluckow S; Department of Neurology, Jena University Hospital, Jena, Germany.
  • Finke K; Department of Neurology, Jena University Hospital, Jena, Germany.
  • Gaser C; Department of Psychology, General and Experimental Psychology Unit, LMU Munich, Munich, Germany.
  • Schwab M; Department of Neurology, Jena University Hospital, Jena, Germany.
  • Güllmar D; Department of Neurology, Jena University Hospital, Jena, Germany.
  • Müller HJ; Department of Neurology, Jena University Hospital, Jena, Germany.
  • Witte OW; Department of Neurology, Jena University Hospital, Jena, Germany.
  • Rupprecht S; Department of Psychology, General and Experimental Psychology Unit, LMU Munich, Munich, Germany.
Eur J Neurol ; 29(10): 3017-3027, 2022 10.
Article in En | MEDLINE | ID: mdl-35699354
ABSTRACT
BACKGROUND AND

PURPOSE:

Fatigue and low sleep quality in multiple sclerosis (MS) are closely related symptoms. Here, the associations between the brain's functional connectivity (FC) and fatigue and low sleep quality were investigated to determine the degree of neural distinctiveness of these symptoms.

METHOD:

A hundred and four patients with relapsing-remitting MS (age 38.9 ± 10.2 years, 66 females) completed the Modified Fatigue Impact Scale and the Pittsburgh Sleep Quality Index and underwent resting-state functional magnetic resonance imaging. FC was analyzed using independent-component analysis in sensorimotor, default-mode, fronto-parietal and basal-ganglia networks. Multiple linear regression models allowed us to test the association between FC and fatigue and sleep quality whilst controlling for one another as well as for demographic, disease-related and imaging variables.

RESULTS:

Higher fatigue correlated with lower sleep quality (r = 0.54, p < 0.0001). Higher fatigue was associated with lower FC of the precentral gyrus in the sensorimotor network, the precuneus in the posterior default-mode network and the superior frontal gyrus in the left fronto-parietal network, independently of sleep quality. Lower sleep quality was associated with lower FC of the left intraparietal sulcus in the left fronto-parietal network, independently of fatigue. Specific associations were found between fatigue and the sensorimotor network's global FC and between low sleep quality and the left fronto-parietal network's global FC.

CONCLUSION:

Despite the high correlation between fatigue and low sleep quality in the clinical picture, our findings clearly indicate that, on the neural level, fatigue and low sleep quality in MS are associated with decreased FC in distinct functional brain networks.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiple Sclerosis Type of study: Prognostic_studies Limits: Adult / Female / Humans / Middle aged Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2022 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiple Sclerosis Type of study: Prognostic_studies Limits: Adult / Female / Humans / Middle aged Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2022 Type: Article Affiliation country: Germany