{"title":"Dynamic functional network connectivity in Acute Incomplete Cervical Cord Injury patients and its associations with sensorimotor dysfunction measures.","authors":"Bingyong Xie, Haoyu Ni, Ying Wang, Jiyuan Yao, Zhibin Xu, Kun Zhu, Sicheng Bian, Peiwen Song, Yuanyuan Wu, Yongqiang Yu, Fulong Dong","doi":"10.1016/j.wneu.2024.08.160","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Dynamic functional network connectivity (dFNC) captures temporal variations in functional connectivity during MRI acquisition. However, the neural mechanisms driving dFNC alterations in the brain networks of patients with Acute incomplete cervical cord injury (AICCI) remain unclear.</p><p><strong>Methods: </strong>This study included 16 AICCI patients and 16 healthy controls (HC). Initially, Independent Component Analysis (ICA) was employed to extract whole-brain independent components (ICs) from resting-state functional MRI (rs-fMRI) data. Subsequently, a sliding time window approach, combined with k-means clustering, was used to estimate dFNC states for each participant. Finally, a correlation analysis was conducted to examine the association between sensorimotor dysfunction scores in AICCI patients and the temporal characteristics of dFNC.</p><p><strong>Result: </strong>ICA was employed to extract 26 whole-brain ICs. Subsequent dynamic analysis identified four distinct connectivity states across the entire cohort. Notably, AICCI patients demonstrated a significant preference for State 3 compared to HC, as evidenced by a higher frequency and longer duration spent in this state. Conversely, State 4 exhibited a reduced frequency and shorter dwell time in AICCI patients. Moreover, correlation analysis revealed a positive association between sensorimotor dysfunction and both the mean dwell time and the fractional of time spent in State 3.</p><p><strong>Conclusions: </strong>Patients with AICCI demonstrate abnormal connectivity within dFNC states, and the temporal characteristics of dFNC are associated with sensorimotor dysfunction scores. These findings highlight the potential of dFNC as a sensitive biomarker for detecting network functional changes in AICCI patients, providing valuable insights into the dynamic alterations in brain connectivity related to sensorimotor dysfunction in this population.</p>","PeriodicalId":23906,"journal":{"name":"World neurosurgery","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.wneu.2024.08.160","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Dynamic functional network connectivity (dFNC) captures temporal variations in functional connectivity during MRI acquisition. However, the neural mechanisms driving dFNC alterations in the brain networks of patients with Acute incomplete cervical cord injury (AICCI) remain unclear.
Methods: This study included 16 AICCI patients and 16 healthy controls (HC). Initially, Independent Component Analysis (ICA) was employed to extract whole-brain independent components (ICs) from resting-state functional MRI (rs-fMRI) data. Subsequently, a sliding time window approach, combined with k-means clustering, was used to estimate dFNC states for each participant. Finally, a correlation analysis was conducted to examine the association between sensorimotor dysfunction scores in AICCI patients and the temporal characteristics of dFNC.
Result: ICA was employed to extract 26 whole-brain ICs. Subsequent dynamic analysis identified four distinct connectivity states across the entire cohort. Notably, AICCI patients demonstrated a significant preference for State 3 compared to HC, as evidenced by a higher frequency and longer duration spent in this state. Conversely, State 4 exhibited a reduced frequency and shorter dwell time in AICCI patients. Moreover, correlation analysis revealed a positive association between sensorimotor dysfunction and both the mean dwell time and the fractional of time spent in State 3.
Conclusions: Patients with AICCI demonstrate abnormal connectivity within dFNC states, and the temporal characteristics of dFNC are associated with sensorimotor dysfunction scores. These findings highlight the potential of dFNC as a sensitive biomarker for detecting network functional changes in AICCI patients, providing valuable insights into the dynamic alterations in brain connectivity related to sensorimotor dysfunction in this population.
期刊介绍:
World Neurosurgery has an open access mirror journal World Neurosurgery: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The journal''s mission is to:
-To provide a first-class international forum and a 2-way conduit for dialogue that is relevant to neurosurgeons and providers who care for neurosurgery patients. The categories of the exchanged information include clinical and basic science, as well as global information that provide social, political, educational, economic, cultural or societal insights and knowledge that are of significance and relevance to worldwide neurosurgery patient care.
-To act as a primary intellectual catalyst for the stimulation of creativity, the creation of new knowledge, and the enhancement of quality neurosurgical care worldwide.
-To provide a forum for communication that enriches the lives of all neurosurgeons and their colleagues; and, in so doing, enriches the lives of their patients.
Topics to be addressed in World Neurosurgery include: EDUCATION, ECONOMICS, RESEARCH, POLITICS, HISTORY, CULTURE, CLINICAL SCIENCE, LABORATORY SCIENCE, TECHNOLOGY, OPERATIVE TECHNIQUES, CLINICAL IMAGES, VIDEOS