Suppr超能文献

心因性发作与额部连接中断:脑电图同步研究。

Psychogenic seizures and frontal disconnection: EEG synchronisation study.

机构信息

Deparment of Clinical Neuroscience, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland.

出版信息

J Neurol Neurosurg Psychiatry. 2011 May;82(5):505-11. doi: 10.1136/jnnp.2010.224873. Epub 2011 Mar 14.

Abstract

OBJECTIVE

Psychogenic non-epileptic seizures (PNES) are paroxysmal events that, in contrast to epileptic seizures, are related to psychological causes without the presence of epileptiform EEG changes. Recent models suggest a multifactorial basis for PNES. A potentially paramount, but currently poorly understood factor is the interplay between psychiatric features and a specific vulnerability of the brain leading to a clinical picture that resembles epilepsy. Hypothesising that functional cerebral network abnormalities may predispose to the clinical phenotype, the authors undertook a characterisation of the functional connectivity in PNES patients.

METHODS

The authors analysed the whole-head surface topography of multivariate phase synchronisation (MPS) in interictal high-density EEG of 13 PNES patients as compared with 13 age- and sex-matched controls. MPS mapping reduces the wealth of dynamic data obtained from high-density EEG to easily readable synchronisation maps, which provide an unbiased overview of any changes in functional connectivity associated with distributed cortical abnormalities. The authors computed MPS maps for both Laplacian and common-average-reference EEGs.

RESULTS

In a between-group comparison, only patchy, non-uniform changes in MPS survived conservative statistical testing. However, against the background of these unimpressive group results, the authors found widespread inverse correlations between individual PNES frequency and MPS within the prefrontal and parietal cortices.

INTERPRETATION

PNES appears to be associated with decreased prefrontal and parietal synchronisation, possibly reflecting dysfunction of networks within these regions.

摘要

目的

心因性非癫痫性发作(PNES)是阵发性事件,与癫痫发作不同,其与心理原因有关,而没有癫痫样 EEG 变化。最近的模型表明 PNES 具有多因素基础。一个潜在的至关重要但目前理解较差的因素是精神特征与大脑特定易感性之间的相互作用,导致类似于癫痫的临床特征。假设功能性大脑网络异常可能导致临床表型,作者对 PNES 患者的功能连接进行了特征描述。

方法

作者分析了 13 例 PNES 患者与 13 名年龄和性别匹配的对照者在间期高密度 EEG 中的多变量相位同步(MPS)的整个头部表面地形图。MPS 图谱将从高密度 EEG 中获得的丰富动态数据减少到易于读取的同步图谱,从而提供与分布式皮质异常相关的任何功能连接变化的无偏概览。作者计算了拉普拉斯和普通平均参考 EEG 的 MPS 图谱。

结果

在组间比较中,只有 MPS 的斑片状、不均匀变化在保守的统计检验中幸存下来。然而,在这些令人印象不深的组结果的背景下,作者发现个体 PNES 频率与前额叶和顶叶皮质内 MPS 之间存在广泛的负相关。

解释

PNES 似乎与前额叶和顶叶同步性降低有关,可能反映了这些区域内网络的功能障碍。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验