Enhanced functional connectome of cerebellum in chronic insomnia patients

© 2023 The Authors. Brain and Behavior published by Wiley Periodicals LLC..

BACKGROUND: Functional abnormalities of the cerebellum have been found to be closely associated with chronic insomnia (CI). However, whether there are abnormalities in the topology of the functional connectome of the cerebellum in these patients is still unknown. This study aimed to investigate topological abnormalities of the cerebellar functional connectome in individuals with CI.

MATERIALS AND METHODS: We used resting-state functional magnetic resonance imaging (rs-fMRI) and graph-theoretic analysis to construct a functional connectivity matrix and extract topological property features of the cerebellar functional connectome in patients with CI. We examined global and nodal topological property changes in the cerebellar functional connectome in 102 patients with CI (CI group) and 101 healthy participants without insomnia symptoms (HC group) to determine the differences between groups. Correlations between the topological properties of the cerebellar functional connectome and clinical assessments were calculated to confirm the differences between groups.

RESULTS: The cerebellar functional connectome of both CI and HC patients exhibited small-world properties. The CI group showed higher standardized clustering coefficients at the global properties and higher betweenness centrality in the cerebellar Crus II vermis region at the nodal properties compared with participants in the HC group. However, the topological properties of cerebellar functional connectome abnormalities in the CI group were not significantly different from those in clinical assessments.

CONCLUSION: Our findings suggest that the abnormal global and nodal topological properties of the cerebellar functional connectome are associated with CI and could serve as an important biomarker for CI.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:13

Enthalten in:

Brain and behavior - 13(2023), 7 vom: 22. Juli, Seite e3103

Sprache:

Englisch

Beteiligte Personen:

Lin, Shiqi [VerfasserIn]
Ye, Xi [VerfasserIn]
Yang, Yuping [VerfasserIn]
Yang, Jingyi [VerfasserIn]
Xu, Guang [VerfasserIn]
Wang, Xinzhi [VerfasserIn]
Ma, Xiaofen [VerfasserIn]

Links:

Volltext

Themen:

Cerebellum
Chronic insomnia
Functional connectome
Graph theory
Journal Article
Research Support, Non-U.S. Gov't
Resting-state fMRI

Anmerkungen:

Date Completed 14.07.2023

Date Revised 18.07.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1002/brb3.3103

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM357800877