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PERFORM - RBIQ - Formation en EEG NIRS

Training

Registrations are closed. Registrations Closed

Event has ended.

Lien: Summer School Perform-QBIN

When?

De 2018-04-14 à 2018-04-15

Date de clôture des inscriptions: 2018-05-13

Where?

Loyola Jesuit Hall and Conference Centre
7141 Sherbrooke Street West
Montreal (Quebec)

Emplacement sur la carte:

Programme

Fichiers joints:

PERFORM QBIN Program

Cet événement est gratuit!

Recent developments and software packages have allowed Electro-Encephalography (EEG) and Near Infra-Red Spectroscopy (fNIRS) to evolve from basic and standard scalp monitoring to more advanced 3D spatio-temporal neuroimaging techniques, providing a unique access to brain activity in realistic environment experienced in everyday life.

The objective of this week's training sessions are to introduce the concepts of these modalities and data acquisition, while providing hands-on software-specific instruction dedicated to EEG and NIRS analysis. All steps, from data preprocessing and quality check to more advanced modeling consisting in 3D reconstructions and statistical analysis, will be covered.

The training sessions are geared towards students and staff interesting in learning more about the following modalities, using dedicated user-friendly software environments:

Electro-Encephalography (EEG): scalp measurements of neuronal bioelectrical activity
Near Infra-Red Spectroscopy (fNIRS): scalp monitoring of cortical hemodynamic processes, and notably fluctuations of oxy- and deoxy-hemglobin concentrations

The sessions are dedicated to both new EEG or NIRS users, who are interested in learning more about those techniques, as well as to more advanced users, in order to introduce them interesting software solutions for their research.

Brief presentation of the software packages presented during the sessions

Brainstorm Software for EEG analysis and source localization
NIRSTORM: a new Brainstorm plugin dedicated to NIRS data analysis
NIRS ToolBox: software developed by Ted Huppert

Please note that similar evoked related high-density EEG and NIRS data will be considered for both the EEG and the NIRS training sessions.

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