Datasets related to article "Electrophysiological signatures of resting state networks predict cognitive deficits in stroke"

DATASET #1 — <strong>Demographical and neurological data</strong> 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 — <strong>EEG resting state networks (RSNs) maps</strong> 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 — <strong>Neuropsychological data</strong> 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.