Suppr超能文献

基于非侵入性神经记录的多学科人际互动脑间同步分析以理解脑动力学的最新趋势:一项系统综述

Recent Trends in Non-invasive Neural Recording Based Brain-to-Brain Synchrony Analysis on Multidisciplinary Human Interactions for Understanding Brain Dynamics: A Systematic Review.

作者信息

Nazneen Tahnia, Islam Iffath Binta, Sajal Md Sakibur Rahman, Jamal Wasifa, Amin M Ashraful, Vaidyanathan Ravi, Chau Tom, Mamun Khondaker A

机构信息

Advanced Intelligent Multidisciplinary Systems Lab, Institute of Advanced Research, United International University, Dhaka, Bangladesh.

Department of Computer Science and Engineering, United International University, Dhaka, Bangladesh.

出版信息

Front Comput Neurosci. 2022 Jun 16;16:875282. doi: 10.3389/fncom.2022.875282. eCollection 2022.

Abstract

The study of brain-to-brain synchrony has a burgeoning application in the brain-computer interface (BCI) research, offering valuable insights into the neural underpinnings of interacting human brains using numerous neural recording technologies. The area allows exploring the commonality of brain dynamics by evaluating the neural synchronization among a group of people performing a specified task. The growing number of publications on brain-to-brain synchrony inspired the authors to conduct a systematic review using the PRISMA protocol so that future researchers can get a comprehensive understanding of the paradigms, methodologies, translational algorithms, and challenges in the area of brain-to-brain synchrony research. This review has gone through a systematic search with a specified search string and selected some articles based on pre-specified eligibility criteria. The findings from the review revealed that most of the articles have followed the social psychology paradigm, while 36% of the selected studies have an application in cognitive neuroscience. The most applied approach to determine neural connectivity is a coherence measure utilizing phase-locking value (PLV) in the EEG studies, followed by wavelet transform coherence (WTC) in all of the fNIRS studies. While most of the experiments have control experiments as a part of their setup, a small number implemented algorithmic control, and only one study had interventional or a stimulus-induced control experiment to limit spurious synchronization. Hence, to the best of the authors' knowledge, this systematic review solely contributes to critically evaluating the scopes and technological advances of brain-to-brain synchrony to allow this discipline to produce more effective research outcomes in the remote future.

摘要

脑对脑同步研究在脑机接口(BCI)研究中有着蓬勃发展的应用,它借助众多神经记录技术,为探究相互作用的人类大脑的神经基础提供了宝贵见解。该领域通过评估执行特定任务的一组人之间的神经同步性,来探索脑动力学的共性。关于脑对脑同步性的出版物数量不断增加,促使作者使用PRISMA协议进行系统综述,以便未来的研究人员能够全面了解脑对脑同步研究领域的范式、方法、转换算法和挑战。本综述通过使用特定的搜索字符串进行了系统搜索,并根据预先指定的纳入标准选择了一些文章。综述结果显示,大多数文章遵循社会心理学范式,而36%的所选研究在认知神经科学中有应用。在脑电图研究中,确定神经连接性最常用的方法是利用锁相值(PLV)的相干性测量,在所有功能近红外光谱(fNIRS)研究中,其次是小波变换相干性(WTC)。虽然大多数实验将对照实验作为其设置的一部分,但少数实验实施了算法控制,只有一项研究进行了干预性或刺激诱导性对照实验以限制虚假同步。因此,据作者所知,本系统综述仅有助于批判性地评估脑对脑同步的范围和技术进展,以使该学科在遥远的未来能够产生更有效的研究成果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a3b/9245014/28ca2b423abd/fncom-16-875282-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验