Datasets related to article "Electrophysiological signatures of resting state networks predict cognitive deficits in stroke"
Authors/Creators
- 1. IRCCS San Camillo Hospital
Description
DATASET #1 — Demographical and neurological data
The table shows the demographical (age, gender, education) and neurological (etiology, lesion site, lesion size, time since stroke) information for each patient.
Gender: M (male), F (female); Etiology: I (ischemic), H (hemorrhagic); Lesion site: C (capsul); T (temporal); F (frontal); Ta (thalamus); O (occipital); P (parietal); MCA (middle cerebral artery); BG (basal ganglia); I (Insula); Pu (putamen); n.a. (data not available).
DATASET #2 — EEG resting state networks (RSNs) maps
The folder contains the individual unthresholded EEG RSNs maps reconstructed using temporal Independent Component Analysis (ICA) from EEG signals (64 channels). The present maps were extracted for 6 EEG frequency bands: full band (1-80 HZ), delta, theta, alpha, beta and gamma.
14 EEG RSNs were selected on the basis of the spatial overlap with an fMRI-RSN template.
DATASET #3 — Neuropsychological data
The table shows the patients’ scores at neuropsychological tests. The assessment included attentional batteries (Behavioural Inattention Test; Attentional matrices) and scales assessing the cognitive and motor independence in everyday life (Functional Independence Measure). Raven’s progressive matrices were also administered.
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Additional details
Related works
- Is documented by
- Journal article: 10.1016/j.cortex.2021.01.019 (DOI)