rs-fMRI network-based TMS targeting

The present data are collected from 8 Alzheimer's disease patients to prove the feasibility of a tailored network-based transcranial magnetic stimulation (TMS) targeting approach. Based on resting state functional imaging, the procedure allows to extract individual optimal targets of two networks affected by Alzheimer's disease: the default mode (DMN) and the fronto-parietal network (FPN). The dataset includes: - The raw independent components maps (melodic_IC.nii.gz) in native space extracted from individual rs-fMRI with Melodic independent component analysis (Beckman and Smith 2004) - A table with the demographic and clinical characteristics of the sample (n=8) together with the individual coordinates of the target in native space.