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Functional and structural magnetic resonance imaging correlates of fatigue in patients with rheumatoid arthritis.
Basu, Neil; Kaplan, Chelsea M; Ichesco, Eric; Larkin, Tony; Schrepf, Andrew; Murray, Alison D; Clauw, Daniel J; Waiter, Gordon D; Harris, Richard E.
Afiliación
  • Basu N; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
  • Kaplan CM; Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, USA.
  • Ichesco E; Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, USA.
  • Larkin T; Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, USA.
  • Schrepf A; Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, USA.
  • Murray AD; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
  • Clauw DJ; Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, USA.
  • Waiter GD; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
  • Harris RE; Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, USA.
Rheumatology (Oxford) ; 58(10): 1822-1830, 2019 10 01.
Article en En | MEDLINE | ID: mdl-31330004
ABSTRACT

OBJECTIVES:

Fatigue is a major burden among patients with RA, yet is poorly understood. We sought to conduct the first imaging study to investigate the neurobiological correlates of fatigue in RA and to improve upon the methodological limitations of previous neuroimaging studies that have investigated this symptom in other populations.

METHODS:

Chronically fatigued RA patients were clinically characterized before undertaking a combined functional and structural mode MRI brain scan. The functional sequences were acquired during a fatigue-evoking task, then network-to-whole-brain analyses were undertaken. The structural analyses employed voxel-based morphometry in order to quantify regional grey matter volume. The scan was repeated 6 months later to test reproducibility.

RESULTS:

Fifty-four participants attended both scans [n = 41 female; baseline mean (s.d.) age 54.94 (11.41) years]. A number of significant functional and structural neural imaging correlates of fatigue were identified. Notably, patients who reported higher levels of fatigue demonstrated higher levels of functional connectivity between the Dorsal Attention Network and medial prefrontal gyri, a finding that was reproduced in the repeat scans. Structurally, greater putamen grey matter volumes significantly correlated with greater levels of fatigue.

CONCLUSION:

Fatigue in RA is associated with functional and structural MRI changes in the brain. The newly identified and reproduced neural imaging correlates provide a basis for future targeting and stratification of this key patient priority.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artritis Reumatoide / Imagen por Resonancia Magnética / Fatiga / Neuroimagen Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artritis Reumatoide / Imagen por Resonancia Magnética / Fatiga / Neuroimagen Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido
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