zenodorestricted

Dataset for the project "Corticocortical signal transmission and brain connectivity alterations at prodromal stage and during the progression of Alzheimer's disease: A multimodal approach of TMS-EEG and advanced MRI" (GR-2016-02364132)

Aim 1: Validation of STT as measure of WM integrity and as diagnostic marker of AD. The first step to test the potential of the STT as AD marker is to establish if the SST can differentiate between patients (LOAD, aMCI) and healthy individuals and its relationship with clinical symptoms and with well-established measures of connectivity.  Aim 2: Connectivity changes, evaluated as in aim 1, as prognostic marker of disease progression. Another crucial point is to establish if STT can capture brain connectivity alterations with disease progression, if they parallel WM integrity alterations and cognitive decline. Moreover, the potential contribution of STT as prognostic marker can be established by investigating which measure, or combination of measures, of brain connectivity at the baseline best predicts the conversion to AD in aMCI cases.  Aim3: Connectivity changes in EOAD patients. The comparison of connectivity alterations between EOAD and LOAD at the baseline and during the disease progression will be a crucial step to establish the efficacy of STT as a marker of differential diagnosis in atypical forms of AD.   The present dataset contains the following files and folders:   File: Demographics_allparticipants.xlsx contains demographic and clinical data of the entire sample File: Hippocampal volume.xlsx data used to extract hippocampal atrophy as AD biomarker   Folder: Aim1 -        READ ME AIM1.txt explains folder structure -        TMS-EEG data of HC, MCI and LOAD at T0 are organized in 3 files with TMS-Evoked Potentials (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file) -        Neuropsychological data of HC, MCI and LOAD at T0 (.xlsx format) -        fMRI folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T0 -        DTI data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0   -         Folder: Aim2 -        READ ME AIM2.txt explains folder structure -        TMS-EEG data are organized in one file that includes TMS-Evoked Potentials of HC, MCI and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file) -        Neuropsychological data of HC, MCI and LOAD at T1 (.xlsx format) -        fMRI folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T1 -        DTI data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0 and T1   Folder: Aim3  READ ME AIM2.txt explains folder structure -        TMS-EEG data are organized in two files that includes TMS-Evoked Potentials of EOAD and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file) -        Neuropsychological data of EOAD and LOAD at T0 and T1 (.xlsx format) -        fMRI folder contains coordinates of the hotspot for the stimulated functional networks of EOAD and LOAD at T0 and T1 -        DTI data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of EOAD and LOAD at T0 and T1   Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.

ShareScore

20/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 4
Harmonization: 4
Access: 4
Reuse readiness: 0
Engagement: 8