DOI: 10.5281/zenodo.13642333
title: Dataset for the project "The effects of a multimodal approach for the treatment of Primary Progressive Aphasia" (GR-2018-12365105)

description:  

Dataset for the project “The effects of a multimodal approach for the treatment of Primary Progressive Aphasia” (GR-2018-12365105)Manenti Rosa (https://orcid.org/0000-0002-5955-2323); Premi Enrico (https://orcid.org/0000-0002-4342-6963 

Dataset for the project “The effects of a multimodal approach for the treatment of Primary Progressive Aphasia” Italian Ministry of Health, Italy, Ricerca Finalizzata Young Researcher (Grant GR-2018-12365105)

Specific Aim 1

Evaluate the specific short-term and long-term effects of active tDCS over the dorsolateral prefrontal cortex (DLPFC) combined with language training vs. placebo DLPFC-tDCS with language training vs. active DLPFC-tDCS alone. In particular, we aim to establish if the combined use of active tDCS and language training in avPPA patients can induce an improvement in a) cognitive and functional performances and b) a change in molecular markers such as neurogranin.

Specific Aim 2

a) Evaluate the brain activity changes related to the intervention in targeted brain regions to establish BOLD signal fluctuations (fMRI);b) Evaluate the variations in spontaneous hemodynamic cortical activity and reactivity with a fNIRS assessment. 

To this aim, we will perform fMRI scanning and fNIRS assessment before and after the application of the three therapy protocols to provide real-time measures of whole-brain activity modulation that are induced in the activated network.

The present dataset contains the following data:

•    RawData_Aim1a [Unpublished Data]o    RawData_Aim1a_Clinical_Neuropsychiological_Assessment: a dataset (excel file) containing the variables referred to overall cognitive and functional performance at timing T0 (baseline), T1 (post-treatment) and T2 (follow-up)  

•    RawData_Aim1b_ Molecular markers [Unpublished Data]o    RawData_Aim1b_ Molecular markers: an excel file containing:      - RawData_Aim1b_ Plasma_BDNF_Neurogranin: an excel sheet containing a dataset with the following variables:         Sample (Col. A);         Raw Values Plasma BDNF T0 (Col. B-D);         Raw Values Plasma BDNF T1 (Col. E-G);         Raw Values Plasma Neurogranin T0 (Col. H-J);          Raw Values Plasma Neurogranin T1 (Col. K-M).       - RawData_Aim1b_ RawData_BDNF_Simoa_Test: an excel sheet containing a dataset with the following variables:         Sample (Col. A);         Raw Simoa Values Plasma BDNF T0 (Col. B-D);          Raw Simoa Values Plasma BDNF T1 (Col. E-G).

•    RawData_Aim2a_ MRI [Unpublished Data]o    RawData_Aim2a_ MRI: a folder containing:      - RawData_Aim2a_structural_MRI: a folder containing images referred on structural changes from timing T0 (baseline) to T1 (post-treatment)       - RawData_Aim2a_functional_MRI: a folder containing images referred on functional changes from timing T0 (baseline) to T1 (post-treatment) 

•    RawData_Aim2b_ fNIRS [Unpublished Data]o    RawData_Aim2b_ fNIRS: a folder containing:      - RawData_Aim2b_ fNIRS: raw fNIRS files for each subject at timing T0 (baseline), T1 (post-treatment) and T2 (follow-up) and a dataset (excel file) containing the following variables:       Code (Col. A)       Age (Col. B)       Education (Col. C)       Gender (Col. D)       fNIRS condition at timing T0 (baseline) (Col. E)       Duration of conditions at timing T0 (baseline) (Col. F, G, H, I)       fNIRS condition at timing T1 (post-treatment) (Col. J)       Duration of conditions at timing T1 (post-treatment) (Col. K, L, M, N)       fNIRS condition at timing T2 (follow-up) (Col. O)       Duration of conditions at timing T2 (follow-up) (Col. P, Q, R, S)

Preliminary Data [Published Data]Preliminary results of the project are published in:•    Premi&Dukart et al., Human Brain Map 2023 (doi: 10.1002/hbm.26206) and the raw data supporting the results are published in the JuSpace toolbox at https://github.com/juryxy/JuSpace

•    Premi&Cotelli et al., Front Aging Neurosci. 2022 (doi: 10.3389/fnagi.2022.942095) and the raw data supporting the results are published in the Zenodo Data Repository at doi: 10.5281/zenodo.6874926 and here reported:     - RawData_ Premi&Cotelli:  a dataset (excel file) containing variables referred to correlations between grey matter volume and language deficits in avPPA at timing T0 

You need to satisfy these conditions in order for your request to be accepted: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.