老年人认知范式脑电结果数据

研究内容：基于认知神经科学及行为学的最新进展研发认知障碍评估的敏感探测范式，并通过脑电ERP 和核磁（fMRI）技术阐明其脑神经机制；基于深度学习方法建立认知评估模型，明确老年认知障碍分型；基于认知老化的脚手架脑认知可塑性理论和干预技术交互作用原理，研究理论，研发认知干预、运动干预、神经调控（脑刺激）干预等康复训练方案技术的融合方法，并通过脑电ERP和fMRI 技术揭示其对认知障碍康复的脑神经机制。 数据内容：老年人认知范式脑电结果数据；数据采集地点：北京市；数据采集时间： 2021.8-2022.3；设备名称：便携式脑电记录仪；运行环境：Windows system+Matlab2016；数据类型：文件；预估数据量/记录数：150例；数据格式：xdfResearch Content: Develop sensitive detection paradigms for cognitive impairment assessment based on the latest advances in cognitive neuroscience and behavioral science, and elucidate their underlying neural mechanisms using electroencephalogram event-related potentials (EEG-ERP) and functional magnetic resonance imaging (fMRI) techniques. Establish cognitive assessment models based on deep learning methods to clarify the subtyping of elderly cognitive impairment. Based on the scaffolded brain cognitive plasticity theory of cognitive aging and the interaction principle of intervention techniques, conduct theoretical investigations, develop integrated technologies for rehabilitation training protocols combining cognitive intervention, motor intervention, and neuroregulation (brain stimulation) intervention, and reveal the neural mechanisms underlying their effects on cognitive impairment rehabilitation via EEG-ERP and fMRI techniques. Data Content: Electroencephalogram (EEG) data from cognitive assessment paradigms for elderly individuals; Data Collection Site: Beijing, China; Data Collection Period: August 2021 to March 2022; Equipment: Portable electroencephalogram recorder; Operating Environment: Windows system + MATLAB 2016; Data Type: Files; Estimated Dataset Size / Number of Records: 150 cases; Data Format: XDF

搜集汇总

背景与挑战

背景概述

该数据集包含150例老年人的认知范式脑电结果数据，采集于2021年8月至2022年3月的北京市，使用便携式脑电记录仪设备，数据格式为xdf，数据量为226.3MB。这些数据用于研究认知障碍评估和康复的脑神经机制。