Title of the Project

“The brain’s dark energy: observation, perturbation, and disruption studies of brain networks to understand cognition and stroke recovery”, P.I. Prof. Maurizio Corbetta

Purpose of the Reasearch Grant

The purpose of this Research Grant, which is funded by Funds Call for Scientific Research of Excellence 2018 of the Fondazione Cassa di Risparmio di Padova e Rovigo is to grant research into: “To collect and acquire fMRI, EEG, and TMS/EEG data in a set of healthy controls and stroke patients with first time lesions to understand the relationship between brain metabolism/connectivity measured with MRI, electrophysiology measured with EEG, and the propagation of signals measured with TMS/EEG.

The  post-doc shall be expert in signal analysis, especially with regard to fMRI, and statistical analysis based on univariate and multivariate methods”

Decree of Acts Approval and Ranking

Selection Notice

Application form

Title of the Project

“The brain’s dark energy: observation, perturbation, and disruption studies of brain networks to understand cognition and stroke recovery”, P.I. Prof. Maurizio Corbetta

Purpose of the Reasearch Grant

To collect and acquire fMRI, EEG, and TMS/EEG data in a set of healthy controls and stroke patients with first time lesions to understand the relationship between brain metabolism/connectivity measured with MRI, electrophysiology measured with EEG, and the propagation of signals measured with TMS/EEG.
The  post-doc shall be expert in signal analysis, especially with regard to EEG/fMRI, and statistical analysis based on univariate and multivariate methods.

Decree of Acts approval and Ranking

Selection Notice

Abstract of the Project

The purpose of this research grant is that the research fellow must have skills in the analysis of magnetic resonance images with particular reference to methods of estimating functional connectivity, quantification of activation maps through GLM, and analysis of spatial and temporal patterns with techniques such as multi-voxel pattern analysis, clustering, independent component analysis.

The research assistant must also be familiar with the main parametric and non-parametric statistical tests and statistical analyzes based on permutation.

The ideal fellow has a good / excellent programming experience in Python and / or Matlab and knowledge of the main software for analyzing fMRI images.

Competition notice

Application form

Approval Decree of Acts (in Italian)

Il PNC annuncia un bando per la selezione di progetti di ricerca di Elettroencefalografia ad alta densità (HD-EEG) presentati da docenti affiliati al Centro, assegnisti e dottorandi del PNC e dei Dipartimenti che supportano il PNC.

Descrizione del Bando

Domanda di partecipazione

The interviews will take place on November 18th, 2020 at 12:30 – CET.

Abstract of the Project

This project aims to understand whether multivariate spatial patterns of activity measured with fMRI evoked by natural visual stimuli (e.g. faces, bodies, etc., presented through images or movies) are also represented in multi-variate spatial patterns of resting-state activity. Previous work has shown that in object-selective category regions of visual cortex (e.g. FFA), multi-vertex resting state activity patterns correlate more strongly, and more frequently, with category selective multi-vertex evoked activity patterns for the specific category (e.g. faces) as compared to other categories (e.g. bodies) (Kim et al. 2020, in press, doi: https://doi.org/10.1101/518712). In this project, we plan to extend this analysis to the whole brain, including other regions like the superior temporal gyrus and the posterior parietal cortex that code for these stimuli. In addition, we plan to test the same hypothesis in a set of movies where the semantic information has been coded frame-by-frame. These studies will test the hypothesis that spontaneous activity patterns do not represent only interregional interactions but also information states that cycle through cortex. Similar experiments could be run with hd-EEG.

Deadline: October 19th, 2020 – h. 13:00 CET

Research Assistant position (12 months; 25 KE) as part of clinical research for the project: Clinical-instrumental screening for the assessment of psycho-pathological, cognitive and sleep disorders in Covid-19 survivors strting in October/November 2012