Karim Jerbi, PhD
Associate Professor
Département de Psychologie
Université de Montréal
Quebec, Canada

Mila (Quebec AI Institute)
UNIQUE Neuro-AI Center
Canadian MEG Consortium


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►►► Broadly speaking, the aim of my research is to improve our understanding of human brain function and dysfunction through multi-level exploration of neural oscillations & large-scale network dynamics.
In a nutshell, our multi-disciplinary research seeks to address key questions in systems neuroscience by linking the multiple spatial scales at which we classically observe brain activity. In addition, our studies probe the relationship between neural network mechanisms, behavior and cognition both in health and disease. Our research relies on a combination of state-of-the-art brain imaging techniques, advanced signal processing and machine learning tools.

Three Key Neuroscience Questions

In addition to the challenging mechanistic questions about how brain oscillations arise and the nature of the mechanisms that mediate neuronal communication, I am specifically interested in how changes in these processes affect or mediate behavior. To this end, I have chosen to examine the role of local and long-range neural synchronization in three conditions:

Question 1 ► Network dynamics of goal-directed behavior

Question 2 ► Network dynamics in the resting state

Question 3 ► Network dysfunction in neurological and psychiatric disorders

Methodological Framework
The complexity of the questions above is inherent to the complex multi-scale nature of neuronal operations. Combining recordings techniques and imaging modalities that capture distinct aspects of the same processes is thus necessary in order to put the pieces of the puzzle back together and unravel the big picture of brain network function and dysfunction. To address this, we are developing a methodological framework that aims to bridge three main gaps:

Gap 1 ► Comparing spike/MUA to LFP data: e.g. linking neuronal firing to high frequency oscillations

Gap 2 ► Combining invasive and non-invasive recordings (iEEG + MEG)

Gap 3 ► Relating electrophysiology (MEG/iEEG/LFP/MUA) to haemodynamic responses (fMRI) & neurotransmitter levels (PET & MRS)

Research Keywords

Neural Oscillations, Brain Connectivity, Large-scale Networks, Magnetoencephalography (MEG), Intracranial EEG (iEEG), Electrocorticography (ECoG), Gamma-Band Activity, Goal-directed Behavior, Resting State Networks, Default-Mode Network, Motor control, Saccade Planning, Decision-making, Brain Computer Interfaces (BCIs), Psychiatric Disorders, Depression.

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