The Second Brain Connectivity Course is an intermediate-level, 5-day workshop designed for investigators having familiarity with the fundamental principles of fMRI data acquisition and analysis.
The course will be held at the Grenoble Institute of Neuroscience in Grenoble, FRANCE from Monday 21 to Friday 25, September 2015.
The course will give an overview of the main methods for brain connectivity analysis resting-state fMRI and Diffusion Imaging.
After the course, attendees be able to select the appropriate approach (model or data driven), and software tool to analyze a neuroimaging data set. They will also be able to choose the optimal protocol for MRI data acquisition for resting state of task-related fMRI studies.
Designed to help students, clinicians and neuroscience investigators in planning and analyzing fMRI studies, this course includes both presentations of theoretical background issues along with practical demonstrations and exercises for each technique discussed.
The course will be conducted in English. To maintain a high degree of interaction between students and faculty, the class size will be limited to 45.
Fees: The regular fee for the 5-day program is US$750, which covers access to all sessions, conference coffee breaks and conference material. Discounts will be made available to French students and INSERM investigators, with EU300 fees for French students and EU500 fees for Research investigators and academics.
The course is over and the presentations are available as all pdf files in the section planning.
The course evaluation has been rated as excellent for the overall evaluation. The answers rate reached 72%. The Number of years of neuroimaging research experience was significantly correlated with positive ratings: the more experienced, the better.
This five-days course course (September, 23-27th) will give an overview of the main methods for functional brain connectivity analysis in activation and resting-state fMRI.
The aim is to be able to select the appropriate approach (model driven or data driven), method and software to analyze a data set. An additional aim is to be able to choose the appropriate protocol for data acquisition, in terms of parameters acquisition and protocol (activation or resting state) according to the working hypothesis.
Designed to help PhD students, clinicians and researchers in planning and analyzing fMRI studies, this course includes a theoretical background and a demonstration for each software. Additional training sessions are proposed.
The course is organized in English.
Dynamic Causal Modeling (DCM)
Psycho-Physiological Interactions (PPI)
Seed-based Functional Connectivity (Conn
Independent Component Analysis (GIFT)
Graph Theory (Brainwaver)
Sophie Achard (GIPSA-Lab Grenoble France)
Elena Allen (University of Bergen in Norway and the Mind Research Network in Albuquerque, NM, USA)
Olivier David (Grenoble Institut des Neurosciences France)
Darren Gitelman (NorthWestern University of Chicago USA)
Jérémie Mattout (CNRS Lyon France)
Thomas Zeffiro (Martinos Center Harvard University Boston USA)
Scientific organization: Assia Jaillard (CHUG); Chantal Delon-Martin (GIN); Cédric Pichat (UPMF);Alexandre Krainik (CHUG); Thomas Zeffiro (MGH Martinos Center Boston); Olivier David (GIN); Sophie Achard (GIPSA Lab); Jean-François Le Bas (CHUG).