Literature DB >> 33424749

Neural Correlates of Cognitive Dysfunctions in Cervical Spondylotic Myelopathy Patients: A Resting-State fMRI Study.

Rui Zhao1, Qian Su2, Zhao Chen1, Haoran Sun3, Meng Liang4, Yuan Xue1,5.   

Abstract

Cervical spondylotic myelopathy (CSM) is a common disease of the elderly that is characterized by gait instability, sensorimotor deficits, etc. Recurrent symptoms including memory loss, poor attention, etc. have also been reported in recent studies. However, these have been rarely investigated in CSM patients. To investigate the cognitive deficits and their correlation with brain functional alterations, we conducted resting-state fMRI (rs-fMRI) signal variability. This is a novel indicator in the neuroimaging field for assessing the regional neural activity in CSM patients. Further, to explore the network changes in patients, functional connectivity (FC) and graph theory analyses were performed. Compared with the controls, the signal variabilities were significantly lower in the widespread brain regions especially at the default mode network (DMN), visual network, and somatosensory network. The altered inferior parietal lobule signal variability positively correlated with the cognitive function level. Moreover, the FC and the global efficiency of DMN increased in patients with CSM and positively correlated with the cognitive function level. According to the study results, (1) the cervical spondylotic myelopathy patients exhibited regional neural impairments, which correlated with the severity of cognitive deficits in the DMN brain regions, and (2) the increased FC and global efficiency of DMN can compensate for the regional impairment.
Copyright © 2020 Zhao, Su, Chen, Sun, Liang and Xue.

Entities:  

Keywords:  BOLD variability; cervical spondylotic myelopathy; cognitive deficits; default mode network; resting-state fMRI

Year:  2020        PMID: 33424749      PMCID: PMC7785814          DOI: 10.3389/fneur.2020.596795

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


  2 in total

1.  Brain Structural and Functional Dissociated Patterns in Degenerative Cervical Myelopathy: A Case-Controlled Retrospective Resting-State fMRI Study.

Authors:  Yi Zhou; Jiaqi Shi
Journal:  Front Neurol       Date:  2022-06-15       Impact factor: 4.086

2.  Dynamic and Static Amplitude of Low-Frequency Fluctuation Is a Potential Biomarker for Predicting Prognosis of Degenerative Cervical Myelopathy Patients: A Preliminary Resting-State fMRI Study.

Authors:  Ningjian Fan; Bing Zhao; LiYun Liu; WeiZhen Yang; Xian Chen; ZhanBin Lu
Journal:  Front Neurol       Date:  2022-04-04       Impact factor: 4.086

  2 in total

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