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Share link: Summer School Perform-QBIN


From 2018-04-14 to 2018-04-15

Registrations closing date: 2018-05-13


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

Location on map:


Attached files:
  1. PERFORM QBIN Program

This Event is Free!

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

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

Other upcoming events

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Workshop on contrast media for MRI2018-10-05

Manoir Montmorency (Chute Montmorency)
2490, avenue Royale, Québec


Symposium : Contrast agents for magnetic resonance imaging, with session “Meet the experts”

Organizes: Dr Marc-André Fortin (Université Laval); Dr Sophie Laurent (U.Mons, Belgique)

Keynote speaker : Dr Robert Muller (U.Mons, Belgique)

Quand/When: le vendredi 5 octobre 2018

For information and registration (before September 21 for preferential rates, until September 28 final registration).

Organisé par/Organised by : Dr Marc-André Fortin, CR-CHU de Québec Université Laval et professeur U.Laval; Dr Sophie Laurent, Université de Mons (Belgique).

Langue/language: présentations scientifiques : ANG; mot de bienvenue : FR; sessions de questions et réponses : FR/ANG. Scientific presentations : ENG; Q&A session : ENG/FR; Welcome and conclusion (FR)

Resting-State and Brain Connectivity 20182018-09-242018-09-29

Educational course:
Jeanne Timmins Amphitheatre
Montreal Neurological Institute
3801, University, Montreal, Qc, Canada


Resting-State and Brain Connectivity 2018: Early registration fee applies until September 14 

Educational course on basic and advanced methods in brain connectivity: September 24-25

                                    At the MNI - Jeanne Timmins Amphitheater, 3801, University, Montreal

Conference, featuring 45 top-notch speakers: September 26-28

                                  At the Centre Mont-Royal, 2200 Rue Mansfield, Montreal

Satellite workshop on how to incorporate machine and deep learning in your data analysis: September 29

                                  At the MNI - Jeanne Timmins Amphitheater, 3801, University, Montreal

Amir Shmuel

Chair of the organizxing committee

Resting-State and Brain Connectivity 2018

Montreal, Qc, Canada


Machine Learning for Brain Health Symposium2018-09-07

St.Joseph's Healthcare Auditorium
100 West 5th Street
Hamilton (On) L8N 3K7


Machine Learning for Brain Health Symposium website

ARiEAL Research Centre is proud to support the upcoming symposium on "Machine Learning for Brain Health". Two of our ARiEAL researchers, Drs. John Connolly and Jim Reilly are among the coordination committee, and Dr. Sylvain Baillet (ARiEAL Scientific Advisory Committee) will also be one of the invited speakers! This symposium will be a great opportunity for exploring machine learning and big data analytic methods for neuroimaging and biometric data, and their applications to the detection/prediction of treatment outcome in stroke, coma, disorders of consciousness and psychiatric disorders. If you are interested, please be sure to save the date! More details will be disseminated when the program is finalized.

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