Abnormal dynamic functional connectivity and topological properties of cerebellar network in male obstructive sleep apnea

Author:

Li Lifeng12,Long Ting1,Liu Yuting3,Ayoub Muhammad4,Song Yucheng4,Shu Yongqiang1,Liu Xiang1,Zeng Li1,Huang Ling1,Liu Yumeng1,Deng Yingke1,Li Haijun15,Peng Dechang15ORCID

Affiliation:

1. Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College Nanchang University Nanchang Jiangxi Province China

2. Department of Radiology, The Affiliated Changsha Central Hospital, Hengyang Medical School University of South China Hengyang Hunan Province China

3. Department of Ophthalmology Hunan Children's Hospital Changsha Hunan Province China

4. School of Computer Science and Engineering, Central South University Changsha Hunan Province China

5. PET Center, The First Affiliated Hospital, Jiangxi Medical College Nanchang University Nanchang Jiangxi Province China

Abstract

AbstractPurposeTo investigate dynamic functional connectivity (dFC) within the cerebellar‐whole brain network and dynamic topological properties of the cerebellar network in obstructive sleep apnea (OSA) patients.MethodsSixty male patients and 60 male healthy controls were included. The sliding window method examined the fluctuations in cerebellum‐whole brain dFC and connection strength in OSA. Furthermore, graph theory metrics evaluated the dynamic topological properties of the cerebellar network. Additionally, hidden Markov modeling validated the robustness of the dFC. The correlations between the abovementioned measures and clinical assessments were assessed.ResultsTwo dynamic network states were characterized. State 2 exhibited a heightened frequency, longer fractional occupancy, and greater mean dwell time in OSA. The cerebellar networks and cerebrocerebellar dFC alterations were mainly located in the default mode network, frontoparietal network, somatomotor network, right cerebellar CrusI/II, and other networks. Global properties indicated aberrant cerebellar topology in OSA. Dynamic properties were correlated with clinical indicators primarily on emotion, cognition, and sleep.ConclusionAbnormal dFC in male OSA may indicate an imbalance between the integration and segregation of brain networks, concurrent with global topological alterations. Abnormal default mode network interactions with high‐order and low‐level cognitive networks, disrupting their coordination, may impair the regulation of cognitive, emotional, and sleep functions in OSA.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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