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Abstract #1461

Multilayer Analysis of Dynamic Network Reorganization in Tinnitus Patients

Chen Yu1, Caihong Fang2, Kaixin Li3, Xue Liu1, Jinyi Zheng4, Mengzhu Wang3, Xianchang Zhang3, and Meiyun Wang5,6
1Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2The Third Clinical Medical College, Fujian Medical University, Fuzhou, China, 3MR Research Collaboration, Siemens Healthineers Ltd, Beijing, China, 4Xinxiang Medical University & Henan Provincial People's Hospital, Zhengzhou, China, 5Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China, 6Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China

Synopsis

Keywords: fMRI Analysis, Analysis/Processing, Tinnitus

Motivation: Traditional research views tinnitus via static brain connectivity, but the brain’s dynamic nature hints at greater complexity.

Goal(s): We sought to unravel the dynamic reorganization patterns of brain networks in tinnitus patients, moving beyond static analyses to capture the fluid nature of neural interactions.

Approach: Using resting-state fMRI and multilayer network analysis, we compared network modularity (Q value) and switching rates across global, network, and nodal levels between tinnitus patients and healthy controls.

Results: Tinnitus patients showed heightened network dynamics, especially in the Default Mode Network (DMN), with specific switching rates correlating with symptom severity, suggesting a novel pattern of neural adaptation.

Impact: This study offers a novel perspective on the reconstruction of dynamic functional networks in tinnitus patients, uncovering the link between brain functional remodeling and tinnitus severity, and establishing a potential foundation for future clinical interventions.

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