Abnormal intrinsic brain functional network dynamics in delayed encephalopathy after carbon monoxide poisoning.

Jiayuan Yi, Huiting Lv, Laichang He, Yongming Tan

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Jiayuan YiJiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.

Huiting LvJiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.

Laichang HeJiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.

Yongming TanJiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China. ndyfy04394@ncu.edu.cn.

Funding

Key Laboratory of Precision Pathology and Intelligent Diagnosis of Jiangxi Province 2024SSY06281

6 · The paper itself

Abstract

Delayed encephalopathy after carbon monoxide poisoning (DEACMP) is the most severe and prevalent neurological sequela associated with carbon monoxide exposure. This study aims to investigate the time-varying characteristics of dynamic brain networks and their topological properties in DEACMP patients using resting-state functional magnetic resonance imaging (rs-fMRI). We conducted Functional MRI scans and clinical assessments for 25 DEACMP patients and 25 healthy controls (HCs). To capture the variability patterns of dynamic functional connectivity (dFC) between the two groups, we employed a sliding time window analysis method. Additionally, theoretical graph analysis was utilized to examine the variations in the topological properties of whole-brain functional networks. We found that DEACMP patients have two dFC states characterized by different connection patterns, State 1 and State2, and there were multiple inter-network and intra-network dynamic interactions in State2.Next, Abnormal dFC indicators were related to the MoCA scores. Finally, the dynamic brain network topological properties were variable. These findings may provide valuable insights into the disruptions in local information transmission and processing functions within the brain's functional networks in individuals with DEACMP.

Indexed as

BrainBrain DiseasesCarbon Monoxide PoisoningNerve NetAdultCase-Control StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedDelayed encephalopathy after carbon monoxide poisoningDynamic functional connectivityFunctional magnetic resonance imagingGraph theory analysis

Identifiers

PMID41290957

DOI10.1038/s41598-025-26083-0

PMCPMC12647857

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.