| ORIGINAL ARTICLE |
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| Year : 2013 | Volume
: 61
| Issue : 5 | Page : 472--477 |
Electroencephalogram beta power assay: A promising diagnosis tool of cognitive impairment in early time after cerebral hemorrhage
Jun Liu, Ting Lai, Ke-Jie Mu, Zheng Zhou
Department of Neurosurgery, Xinqiao Hospital, The Third Military Medical University, Chongqing 400037, China
Correspondence Address:
Jun Liu
Department of Neurosurgery, Xinqiao Hospital, The Third Military Medical University, Chongqing 400037
China
 Source of Support: None, Conflict of Interest: None  | Check |
Background: Cerebral hemorrhage (CH) could affect the cerebral function on specific cognitive abilities and lead to the cognitive decline or cognitive dysfunction. Electroencephalogram (EEG) is a relatively cheap and easy usable tool, which could reflect the cerebral function of the patients. Materials and Methods: A total of 170 patients (patients with and without cognitive impairment) with CH and 120 normal healthy controls were recruited from September 2008 to June 2012 at the Department of Neurology. EEG studies were carried out to analyze the cerebral function in all the subjects. Correlation, clustering and concordance analysis were performed to analyze the relationship between EEG power and Montreal cognitive assessment (MoCA) scores. The effects of EEG analysis were assessed to diagnosis the cognitive impairment. Results: The results were showed that patients with cognitive impairment had a significantly decreased EEG beta power (0.771 ± 0.149 μV 2 ) compared with the normal cognitive function (1.654 ± 0.186 μV 2 , P < 0.01) or normal healthy controls (1.703 ± 0.216 μV 2 , P < 0.01). Significantly positive correlation (r = 0.90174, P < 0.001) was discovered between relative beta power and hemorrhage type, while significantly negative correlations between the relative beta power and hemorrhage size and amount were also observed (r =−0.81235 and r =−0.90136, respectively, all P < 0.001). There was a better concordance between K-means clustering algorithm calculating of the relative beta power and MoCA scores (κ =0.913, P < 0.001). Conclusion: The cognitive impairment post hemorrhage was positively correlated to hemorrhage type and negatively correlated with hemorrhage size and amount. The analysis method of EEG beta power abnormality holds a promise to assess the cognitive impairment post CH.
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