White matter tract-specific alterations in patients with primary restless legs syndrome.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
09 08 2021
Historique:
received: 02 11 2020
accepted: 22 06 2021
entrez: 10 8 2021
pubmed: 11 8 2021
medline: 16 11 2021
Statut: epublish

Résumé

Prior diffusion tensor imaging (DTI) studies have investigated white matter (WM) changes in patients with primary restless legs syndrome (RLS), but the results were inconsistent. Here, we proposed using tract-specific statistical analysis (TSSA) to find alterations in specific WM tracts to clarify the pathophysiological mechanisms of RLS. We enrolled 30 patients with RLS and 31 age- and sex- matched controls who underwent brain magnetic resonance imaging, neuropsychological tests, and polysomnography. Fractional anisotropy (FA) maps obtained from whole-brain diffusion tensor imaging and TSSA were used to localize WM changes in patients with RLS. Subsequently, a comparison of FA values for each tract between patients and controls was performed. The associations between FA values and clinical, polysomnographic, and neuropsychological parameters in RLS patients were assessed. RLS patients demonstrated decreased FA values in the left corticospinal tract (CST) and cingulum, and in the right anterior thalamic radiation (ATR) and inferior fronto-occipital fasciculus (IFO). Patients' attention/executive function and visual memory scores positively correlated with FA values in the right ATR, and anxiety levels negatively correlated with FA values in the right IFO. Additionally, the number of periodic leg movements and movement arousal index were negatively correlated with FA values in the left CST. The TSSA method identified previously unknown tract-specific alterations in patients with RLS and significant associations with distinct clinical manifestations of RLS.

Identifiants

pubmed: 34373482
doi: 10.1038/s41598-021-95238-6
pii: 10.1038/s41598-021-95238-6
pmc: PMC8352949
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

16116

Informations de copyright

© 2021. The Author(s).

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Auteurs

Hea Ree Park (HR)

Department of Neurology, Inje University College of Medicine, Ilsan Paik Hospital, Goyang, Korea.

Hye Ryun Kim (HR)

Global Health Technology Research Center, College of Health Science, Korea University, Seoul, Korea.

Seunghwan Oh (S)

Department of Artifical Intelligence, Korea University, Seoul, Korea.

Joon-Kyung Seong (JK)

Department of Artifical Intelligence, Korea University, Seoul, Korea. jkseong@korea.ac.kr.
School of Biomedical Engineering, Korea University, 145, Anam-ro, Anam-dong 5-ga, Seongbuk-gu, Seoul, 02841, Republic of Korea. jkseong@korea.ac.kr.
Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea. jkseong@korea.ac.kr.

Eun Yeon Joo (EY)

Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea. ejoo@skku.edu.

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Classifications MeSH