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

Published: 23 December 2022| Version 1 | DOI: 10.17632/s3t9mptvh8.1
Contributor:
Lorenzo Pini

Description

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).

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Institutions

IRCCS Centro S Giovanni di Dio Fatebenefratelli

Categories

Neuroimaging, Cognitive Neuroscience

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