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饮食失调中清醒头皮脑电图的皮质来源。

Cortical sources of awake scalp EEG in eating disorders.

作者信息

Rodriguez Guido, Babiloni Claudio, Brugnolo Andrea, Del Percio Claudio, Cerro Fabrizio, Gabrielli Filippo, Girtler Nicola, Nobili Flavio, Murialdo Giovanni, Rossini Paolo M, Rossi Davide Sebastiano, Baruzzi Chiara, Ferro Antonio Maria

机构信息

Section of Clinical Neurophysiology (DISEM), Department of Endocrinological and Metabolic Sciences, University of Genoa, Genoa, Italy.

出版信息

Clin Neurophysiol. 2007 Jun;118(6):1213-22. doi: 10.1016/j.clinph.2007.02.022. Epub 2007 Apr 23.

DOI:10.1016/j.clinph.2007.02.022
PMID:17452006
Abstract

OBJECTIVE

To investigate quantitative EEG (qEEG) in anorexia nervosa (AN) and bulimia nervosa (BN) in comparison with healthy controls.

METHODS

Resting EEG was recorded in 30 healthy females (age: 27.1+/-5.5), 16-AN females (age: 26.4+/-9.5) and 12-BN females (age: 27.0+/-6.3). Cortical EEG sources (delta, theta, alpha 1, alpha 2, beta 1, beta 2) were modeled by LORETA solutions. The statistical analysis was performed considering the factors Group, power Band, and region of interest (central, frontal, parietal, occipital, temporal, limbic).

RESULTS

Alpha 1 sources in central, parietal, occipital and limbic areas showed a greater amplitude in Controls versus AN and BN groups. Alpha 2 sources in parietal, occipital and limbic areas showed a greater amplitude in Controls than in both AN and BN groups. Alpha 1 sources in temporal area showed a greater amplitude in Controls compared to both the BN and AN groups as well as in the BN group compared to AN group. Central alpha 1 source correlated significantly with BMI in patients.

CONCLUSIONS

These results support the hypothesis that eating disorders are related to altered mechanisms of cortical neural synchronization, especially in rolandic alpha rhythms.

SIGNIFICANCE

To our knowledge this is the first study by LORETA able to detect modifications of cortical EEG activity in eating disorders.

摘要

目的

研究神经性厌食症(AN)和神经性贪食症(BN)的定量脑电图(qEEG),并与健康对照组进行比较。

方法

记录30名健康女性(年龄:27.1±5.5)、16名AN女性(年龄:26.4±9.5)和12名BN女性(年龄:27.0±6.3)的静息脑电图。采用LORETA算法对皮质脑电图源(δ波、θ波、α1波、α2波、β1波、β2波)进行建模。统计分析考虑了组、频段和感兴趣区域(中央、额叶、顶叶、枕叶、颞叶、边缘系统)等因素。

结果

中央、顶叶、枕叶和边缘系统区域的α1波源在对照组中的振幅大于AN组和BN组。顶叶、枕叶和边缘系统区域的α2波源在对照组中的振幅大于AN组和BN组。颞叶区域的α1波源在对照组中的振幅大于BN组和AN组,且在BN组中的振幅大于AN组。患者中央α1波源与体重指数显著相关。

结论

这些结果支持了饮食失调与皮质神经同步机制改变有关的假设,尤其是在罗兰α节律方面。

意义

据我们所知,这是第一项使用LORETA能够检测饮食失调中皮质脑电图活动变化的研究。

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