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Associations Between EEG Beta Power Abnormality and Diagnosis in Cognitive Impairment Post Cerebral Infarcts.
MedLine Citation:
PMID:  23150114     Owner:  NLM     Status:  Publisher    
Cerebral infarct is a common disease of older adults, which could increase the risk for cognitive impairment and dementia. Electroencephalogram (EEG) characteristics were analyzed to investigate the applied value in the assessment of cognitive impairment of the cerebral infarct patients. One hundred ten subjects with cerebral infarcts (including 65 cases of cognitive impairment patients (CI-CI) and 45 cases of cognitive normality patients (CI-NC)) and 110 normal health persons (NC) were recruited between July 2009 and March 2011 at the Department of Neurology. All of the patients were analyzed by EEG within 1 day they were hospitalized. The EEG analysis results were compared with the Montreal Cognitive Assessment (MoCA) scale (assessed within 2 weeks) with the methods of correlation analysis, clustering analysis, and concordance analysis. The results indicated that CI-CI patients had significantly lower EEG beta power (0.832 ± 0.203 mcV(2)) relative to the CI-NC group (1.493 ± 0.271 mcV(2), P < 0.01) or NC group (1.565 ± 0.345 mcV(2), P < 0.01). Significant negative correlation between the beta power and infarct size (as well as infarct number) was discovered (r = -0.88881 and -0.66498, respectively, both P < 0.001). There was a good concordance between K-means clustering algorithm calculating the beta power and MoCA scoring (Kappa = 0.851, P < 0.001). The preliminary findings suggest that the recognition techniques of EEG hold considerable promise for the assessment of cognitive impairment post cerebral infarcts within 2 weeks and which related to the size of infarcts and number of infarcts.
Yanping Wang; Xiaoling Zhang; Junjun Huang; Minchu Zhu; Qiaobing Guan; Chunfeng Liu
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-14
Journal Detail:
Title:  Journal of molecular neuroscience : MN     Volume:  -     ISSN:  1559-1166     ISO Abbreviation:  J. Mol. Neurosci.     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9002991     Medline TA:  J Mol Neurosci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Neurology, Second Affiliated Hospital, Jiaxing College of Medicine, Jiaxing, 314000, China.
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