Electroencephalography connectome changes in chronic insomnia disorder are correlated with neurochemical signatures

• DOI: 10.1093/sleep/zsae080
• Publication Date: 2024-03-23T14:10:00Z
• Authors: Liyong Yu; Wei Peng; Wenting Lin; Yucai Luo; Daijie Hu; Guangli Zhao; Hao Xu; Zeyang Dou; Qi Zhang; Xiaojuan Hong; Siyi Yu
• Keywords: 0301 basic medicine; 0302 clinical medicine

Abstract Study Objectives This study aimed to investigate the alterations in resting-state electroencephalography (EEG) global brain connectivity (GBC) patients with chronic insomnia disorder (CID) and explore correlation between macroscale connectomic variances microscale neurotransmitter distributions. Methods We acquired 64-channel EEG from 35 female CID 34 healthy females. signals were source-localized using individual anatomy orthogonalized mitigate volume conduction. Correlation coefficients band-limited source-space power envelopes of DK 68 atlas computed averaged across regions determine specific GBC values. A support vector machine (SVM) classifier utilizing features was employed differentiate controls. further used Neurosynth a 3D receptors/transporters assess cognitive functions landscape associated cortical abnormality maps, respectively. Results exhibited elevated within medial prefrontal cortex limbic cortex, particularly at gamma carrier frequency, compared controls (pFDR < .05). patterns found effectively distinguish precision 90.8% SVM model. The maps significantly correlated meta-analytic terms like “cognitive control” “emotion regulation.” Notably, profiles (pspin .05), systems such as norepinephrine, dopamine, serotonin making significant contributions. Conclusions work characterizes profile CID, facilitating cost-effective clinical translation EEG-derived markers. Additionally, linkage distribution offers promising avenues for developing targeted treatment strategies CID.