Repeated Subconcussive Exposure Alters Low-Frequency Neural Oscillation in Memory Retrieval Processing

工作记忆 脑电图 神经认知 听力学 集合(抽象数据类型) 心理学 头皮 意识的神经相关物 认知 认知心理学 神经科学 医学 计算机科学 解剖 程序设计语言
作者
Shukai Wu,Aobo Chen,Chenglong Cao,Shenghui Ma,Yu Feng,Shuochen Wang,Jian Song,Guozheng Xu
出处
期刊:Journal of Neurotrauma [Mary Ann Liebert, Inc.]
卷期号:39 (5-6): 398-410 被引量:3
标识
DOI:10.1089/neu.2021.0414
摘要

Repeated subconcussive head impacts are frequently experienced by athletes involved in competitive sports, such as boxing. The objective of the present study was to investigate the changes in working memory performance and memory retrieval-related neural oscillations in boxing athletes who experienced repeated subconcussive head impacts. Twenty-one boxing athletes (boxing group) and 25 matched controls (control group) completed a modified visual working memory task, and their continuous scalp electroencephalography (EEG) data were collected simultaneously. The behavioral measures and retrieval-related low-frequency neural oscillations were analyzed at each working memory set size in both groups. Subjects in the boxing group showed a reduced mean accuracy, diminished capacity estimates, and slower reaction time at demanding set sizes, and a marginally increased intra-individual coefficient of variation (ICV) for overall set sizes. Additionally, decreased event-related frontal theta synchronization, parieto-occipital alpha desynchronization, and frontal low beta synchronization were observed in the boxing group, suggesting underlying working memory dysfunction for efficient neurocognitive resource employment, inhibition of distracting stimuli, and post-retrieval control in the boxing group. Moreover, a negative correlation was found between frontal beta synchronization and reaction time for most set sizes in both groups. The present study was the first to reveal the underlying working memory deficits caused by the cumulative effects of boxing-related subconcussive head impacts from the perspective of behavior and EEG time-frequency oscillations. Joint analysis of EEG low-frequency oscillations and the innovative task with multiple challenging load conditions may serve as a promising way to detect concealed deficiencies within working memory processing.

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