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引用次数: 0
摘要
本研究旨在利用脑电图(EEG)为神经性厌食症(AN)青年静息态大脑网络的时间动态提供初步证据。研究收集了18名患有神经性厌食症的年轻女性和18名健康对照组(HC)的静息态脑电数据。通过微观状态分析评估了组间大脑网络的差异。在所有受试者中确定了五个微观状态(A、B、C、D、E)。使用代表整个数据集的单组地图,确定了微状态 A、C 和 E 的组间差异。一个通用的模板显示,微状态 C 的时间覆盖范围缩小,结果的一致性相对较高,但微状态类 E 的存在也有所增加。使用 LORETA,我们发现对于微状态 D,与 HC 相比,AN 患者的左额下丘、左侧岛叶和双侧中央小叶旁的激活增强。在微状态 E 中,AN 在海马旁回、尾状核、苍白球、小脑和小脑蚓部的激活增强。我们的研究结果表明,年轻女性自闭症患者的微观状态发生了改变,这些微观状态与感觉和身体信号的整合、内部/外部精神状态的监测以及自我参照过程有关。未来的研究应探讨如何将脑电图衍生的微状态应用于开发AN的诊断和预后模型。
EEG Spatial-temporal Dynamics of Resting-state Activity in Young Women with Anorexia Nervosa: Preliminary Evidence.
The aim of this study was to provide preliminary evidence on temporal dynamics of resting-state brain networks in youth with anorexia nervosa (AN) using electroencephalography (EEG). Resting-state EEG data were collected in 18 young women with AN and 18 healthy controls (HC). Between-group differences in brain networks were assessed using microstates analyses. Five microstates were identified across all subjects (A, B, C, D, E). Using a single set of maps representative of the whole dataset, group differences were identified for microstates A, C, and E. A common-for-all template revealed a relatively high degree of consistency in results for reduced time coverage of microstate C, but also an increased presence of microstate class E. AN and HC had different microstate transition probabilities, largely involving microstate A. Using LORETA, for microstate D, we found that those with AN had augmented activations in the left frontal inferior operculum, left insula, and bilateral paracentral lobule, compared with HC. For microstate E, AN had augmented activations in the para-hippocampal gyrus, caudate, pallidum, cerebellum, and cerebellar vermis. Our findings suggest altered microstates in young women with AN associated with integration of sensory and bodily signals, monitoring of internal/external mental states, and self-referential processes. Future research should examine how EEG-derived microstates could be applied to develop diagnostic and prognostic models of AN.
期刊介绍:
Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.