"Cognitive Neuroinformatics" is an interdisciplinary research group studying brain organization at the macroscale and its relationship to cognitive functioning. They capitalize on large-scale MRI and behavioral data with a data-driven approach to identify principles of organization of the human brain and the dimensions of cognitive information processing they relate to. Therefore, they use machine learning approaches to disclose the cognitive architecture linking brain and behavior data.
One axis of their research focuses on methodological and conceptual investigations of the relationships between MRI markers of brain structure and behavioral phenotype.
The second axis of their research focuses on methodological and conceptual investigations of the relationships between MRI markers of brain functional connectivity and behavioral phenotype. Their ongoing researches investigated the relationship between static aspects of resting-state functional connectivity, as well as the dynamic aspects of these data to behavioral phenotype with prediction approaches.
From a conceptual standpoint, they are particularly interested in the hippocampus as a crucial component of the whole system and a locus of alterations in the most frequent neurocognitive disorders.
A summary of the lab recent work on the human hippocampus can be found here.
Dr. Sarah GENON
Building 15.2 / Room 319
The many dimensions of human hippocampal organization and (dys)function
Hippocampal metabolic subregions and networks: Behavioral, molecular, and pathological aging profiles
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Linking interindividual variability in brain structure to behaviour