老年人多模态康复模式干预研究前后测数据

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：老年人多模态康复模式干预研究前后测数据；数据采集地点：北京市；数据采集时间： 2019.6-2020.3，2021.5-2021.12；设备名称：笔记本计算机、GE磁共振扫描仪；运行环境：Window10；数据类型：文件；预估数据量/记录数：300例；数据格式：DICOM

Research 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 potential (ERP) and functional magnetic resonance imaging (fMRI) techniques; establish cognitive assessment models via deep learning methods to clarify the classification of elderly cognitive impairment; based on the scaffolding brain cognitive plasticity theory of cognitive aging and the interaction principle of intervention technologies, conduct theoretical research, develop integrated approaches for rehabilitation training programs including cognitive intervention, exercise intervention, and neuroregulation (brain stimulation) intervention, and reveal the neural mechanisms underlying their efficacy in cognitive impairment rehabilitation through ERP and fMRI technologies.
Data Content: Pre- and post-intervention data from studies on multimodal rehabilitation models for elderly populations; Data Collection Location: Beijing, China; Data Collection Periods: June 2019 - March 2020, May 2021 - December 2021; Equipment Used: Laptop computers, GE Magnetic Resonance Scanners; Operating Environment: Windows 10; Data Type: Files; Estimated Number of Records/Total Data Volume: 300 cases; Data Format: DICOM

搜集汇总

背景与挑战

背景概述

该数据集来源于国家重点研发计划项目，专注于老年认知障碍的多模态评估与康复干预研究。数据包含300例老年人前后测信息，采集自北京市，使用脑电ERP和核磁（fMRI）技术，以DICOM格式存储，旨在通过深度学习模型和康复方案探索认知障碍的脑神经机制和智能康复应用。