从脑电图脑机接口信号检测幻听

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Beatriz García-Martínez , Patricia Fernández-Sotos , Jorge J. Ricarte , Eva M. Sánchez-Morla , Roberto Sánchez-Reolid , Roberto Rodriguez-Jimenez , Antonio Fernández-Caballero
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引用次数: 0

摘要

精神分裂症是一种严重衰弱的慢性精神疾病。最常见的症状之一是出现幻听(AH),这可能与脑电图(EEG)可测量的大脑电活动的改变有关。尽管以前的许多工作都用医用脑电图设备记录了精神分裂症患者的脑电图信号,但从未通过便携式脑电图测量仪对AH进行过研究。因此,本研究的目的是用无线脑电图设备检测精神分裂症患者的AH。为此,在一组9名精神分裂症患者中评估了有AH和无AH的脑电图记录的频谱功率。结果表明,幻觉期间的主要激活发生在右额叶,而在无幻觉时期,左半球表现出更强的激活。此外,已经观察到幻觉中的光谱功率相对于无幻觉发作普遍降低。因此,这项工作证明了用可穿戴脑电图设备检测AH发作的可能性。此外,所获得的结果与默认模型网络兼容,报告称与幻觉时刻相比,无幻觉时期的激活更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of auditory hallucinations from electroencephalographic brain–computer interface signals

Schizophrenia is a chronic psychiatric disorder that is highly debilitating. One of the most frequent symptoms is the presence of auditory hallucinations (AH), which could be related to alterations in brain electrical activity measurable with electroencephalography (EEG). Although many previous works have recorded EEG signals of schizophrenia patients with medical EEG devices, the study of AH has never been developed by means of portable EEG measuring instruments. Therefore, the aim of this study is to detect AH in schizophrenia patients with a wireless EEG device. For that purpose, the spectral power from EEG recordings of periods with and without AH has been evaluated in a group of nine schizophrenia patients. Results reported that the main activation during hallucinations was found in right frontal locations, whereas the left hemisphere presented a stronger activation in hallucination-free periods. Furthermore, a generalized decrease of spectral power in hallucination with respect to hallucination-free episodes has been observed. Hence, this work demonstrates the possibility of detecting AH episodes with a wearable EEG device. In addition, the results obtained were compatible with the default model network, reporting a greater activation during no hallucination periods compared to hallucination moments.

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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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