老年人认知障碍评估模型指标数据

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：老年人认知障碍评估模型指标数据；数据采集地点：北京市；数据采集时间： 2019.5-2019.12；设备名称：笔记本电脑；运行环境：Windows system+ E-prime 2.0；数据类型：表格；预估数据量/记录数：1500例；数据格式：Excel

Research Content: Drawing on the latest advances in cognitive neuroscience and behavioral science, this study develops sensitive detection paradigms for cognitive impairment assessment, and elucidates their underlying neural mechanisms via electroencephalogram event-related potentials (EEG ERP) and functional magnetic resonance imaging (fMRI) techniques. Additionally, it establishes cognitive assessment models based on deep learning methods to classify elderly individuals with cognitive impairment. Guided by the scaffolded brain cognitive plasticity theory of cognitive aging and the interaction principle of intervention technologies, the research conducts theoretical investigations, develops integrated rehabilitation training solutions combining cognitive intervention, motor intervention, and neuro-modulation (brain stimulation) intervention, and reveals the neural mechanisms underlying their efficacy in cognitive impairment rehabilitation using EEG ERP and fMRI technologies.

Data Content: Indicator data for the elderly cognitive impairment assessment model; Data Collection Location: Beijing, China; Data Collection Period: May 2019 to December 2019; Equipment Used: Laptop; Operating Environment: Windows system + E-prime 2.0; Data Type: Tabular data; Estimated Number of Records: 1500 cases; Data Format: Excel

搜集汇总

背景与挑战

背景概述

该数据集包含老年人认知障碍评估模型指标数据，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。数据采集于北京市，时间跨度为2019年5月至12月，数据量为1500例，格式为Excel。