EEG resting state alpha dynamics predict an individual’s vulnerability to auditory hallucinations

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES Cognitive Neurodynamics Pub Date : 2024-03-22 DOI:10.1007/s11571-024-10093-1
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Abstract

Task-free brain activity exhibits spontaneous fluctuations between functional states, characterized by synchronized activation patterns in distributed resting-state (RS) brain networks. The temporal dynamics of the networks’ electrophysiological signatures reflect individual variations in brain activity and connectivity linked to mental states and cognitive functions and can predict or monitor vulnerability to develop psychiatric or neurological disorders. In particular, RS alpha fluctuations modulate perceptual sensitivity, attentional shifts, and cognitive control, and could therefore reflect a neural correlate of increased vulnerability to sensory distortions, including the proneness to hallucinatory experiences. We recorded 5 min of RS EEG from 33 non-clinical individuals varying in hallucination proneness (HP) to investigate links between task-free alpha dynamics and vulnerability to hallucinations. To this end, we used a dynamic brain state allocation method to identify five recurrent alpha states together with their spatiotemporal dynamics and most active brain areas through source reconstruction. The dynamical features of a state marked by activation in somatosensory, auditory, and posterior default-mode network areas predicted auditory and auditory-verbal HP, but not general HP, such that individuals with higher vulnerability to auditory hallucinations spent more time in this state. The temporal dynamics of spontaneous alpha activity might reflect individual differences in attention to internally generated sensory events and altered auditory perceptual sensitivity. Altered RS alpha dynamics could therefore instantiate a neural marker of increased vulnerability to auditory hallucinations.

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脑电图静息态阿尔法动态预测个人对幻听的易感性
摘要 无任务的大脑活动表现出功能状态之间的自发波动,以分布式静息态(RS)大脑网络的同步激活模式为特征。网络电生理特征的时间动态反映了与精神状态和认知功能相关的大脑活动和连通性的个体差异,可以预测或监测患精神或神经疾病的可能性。特别是,RS α波动会调节知觉敏感性、注意力转移和认知控制,因此可以反映出神经相关性,从而增加对感觉失真的脆弱性,包括对幻觉体验的易感性。我们记录了 33 名不同幻觉倾向(HP)的非临床个体的 5 分钟 RS EEG,以研究无任务阿尔法动态与幻觉易感性之间的联系。为此,我们使用了一种动态脑状态分配方法,通过源重构确定了五种反复出现的阿尔法状态及其时空动态和最活跃的脑区。以躯体感觉、听觉和后部默认模式网络区域激活为标志的状态的动态特征可以预测听觉幻觉和听觉言语幻觉,但不能预测一般幻觉,因此更容易出现听觉幻觉的个体在这种状态下花费的时间更长。自发α活动的时间动态可能反映了个体对内部产生的感觉事件和听觉感知灵敏度改变的注意差异。因此,RS alpha动态的改变可能是更易产生幻听的神经标记。
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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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