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 Research Grant

Funded by Funds Call for Scientific Research of Excellence 2018 of the Fondazione Cassa di Risparmio di Padova e Rovigo, the purpose of the Research Grant is “To collect data on eye movements and brain imaging (e.g., EEG) in healthy subjects and patients with stroke to understand the relationship between behavior, lesions, cortical dynamics, and brain signals.

The post-doc shall be expert in signal analysis, especially eye movement recordings, EEG, and MRI, and statistical analysis based on univariate and multivariate methods.”

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.

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

One position for a postdoctoral fellowship has been opened (see details below) in the context of the following project:

Title of the project

In vivo functional characterization of whole brain- and population-level dynamics in genetic mouse models of migraine.

Abstract of the project

Migraine is a remarkably disabling and still poorly understood brain disorder which primarily affects the sensory nervous system. It is characterized by recurrent attacks of unilateral headache and by a global dysfunction in multisensory information processing. Previous investigations at the microcircuit level in genetic models of migraine have revealed significant alterations in the cortical excitatory synaptic transmission due to impaired mechanisms of glutamate release and glutamate clearance.

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.

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.