老年人认知范式行为表现结果数据

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：老年人认知范式行为表现结果数据；数据采集地点：北京市；数据采集时间：2019.3-2019.12，2020.6-202.10，2022.9-2022.12；设备名称：笔记本计算机；运行环境：Windows system + E-prime 2.0；数据类型：表格；预估数据量/记录数：500例；数据格式：Excel

Research Content: Based on the latest advances in cognitive neuroscience and behavioral science, develop sensitive detection paradigms for cognitive impairment assessment, and clarify their underlying neural mechanisms using electroencephalogram event-related potentials (EEG ERP) and functional magnetic resonance imaging (fMRI); establish cognitive assessment models via deep learning methods to classify elderly cognitive impairment; based on the scaffolded brain cognitive plasticity theory of cognitive aging and the interaction principle of various intervention technologies, conduct theoretical studies, develop fusion methods for rehabilitation training program technologies including cognitive intervention, motor intervention, and neuro-modulation (brain stimulation) intervention, and reveal their neural mechanisms in cognitive impairment rehabilitation via EEG ERP and fMRI.
Data Content: Behavioral performance data of elderly participants in cognitive paradigms; Data Collection Location: Beijing, China; Data Collection Period: March 2019 – December 2019, June 2020 – October 2021, September 2022 – December 2022; Equipment: Laptop computers; Operating Environment: Windows system + E-prime 2.0; Data Type: Tabular data; Estimated Data Volume/Number of Records: 500 cases; Data Format: Excel

搜集汇总

背景与挑战

背景概述

该数据集是'老年人认知范式行为表现结果数据'，包含北京市老年人认知范式行为表现结果，数据采集于2019年至2022年多个时间段，使用笔记本计算机和E-prime 2.0环境记录，预估500例，以Excel表格格式存储。数据集属于国家重点研发计划项目'老年认知障碍多模态评估与智能康复系统研发'，旨在支持认知障碍评估、脑神经机制研究和康复方案开发，涉及康复医学、人工智能等多学科领域。