A low-dimensional cognitive space in the continuum of aging and age-related diseases

Cognitive and network data for the paper entitled "A low dimensional cognitive-network coupling space in Alzheimer’s disease and frontotemporal dementia"
The dataset include an excel data reporting for each subject, diagnosis (Diax), network connectivity (DorsalAttention, VentralAttention, Frontoparietal, DefaultMode), clinical scales (IADL scale, Neuropsychiatric inventory scale (NPI), frontal behavioral battery (FBI), clinical dementia rating - sum of boxes (CDRSUMBOX)), and cognitive data. Cognitive data are reported as composite z-scores (memory: COMP_MEMORY; executive: COMP_EXECUTIVE, visuospatial: COMP_VISUOSPATIAL; language: COMP_LANGUAGE; emotion recognition: COMP_EMOTION) and as PCA components (cogPC1, cogPC2, cogPC3).

本数据集配套于题为《阿尔茨海默病（Alzheimer’s disease）与额颞叶痴呆（frontotemporal dementia）的低维认知-网络耦合空间》的学术论文。数据集包含针对每位受试者的Excel数据报表，涵盖诊断信息（Diax）、脑网络连接特征（背侧注意网络（DorsalAttention）、腹侧注意网络（VentralAttention）、额顶网络（Frontoparietal）、默认模式网络（DefaultMode））、临床量表数据（日常生活能力量表（IADL scale）、神经精神量表（Neuropsychiatric inventory scale, NPI）、额叶行为量表（frontal behavioral battery, FBI）、临床痴呆评定总分（CDRSUMBOX））以及认知数据。其中认知数据以复合z分数形式报告（记忆维度：COMP_MEMORY；执行功能维度：COMP_EXECUTIVE；视空间功能维度：COMP_VISUOSPATIAL；语言功能维度：COMP_LANGUAGE；情绪识别维度：COMP_EMOTION），同时包含经主成分分析（PCA）得到的认知主成分（cogPC1、cogPC2、cogPC3）。