A Comparative Machine Learning Study of Connectivity-Based Biomarkers of Schizophrenia

V Shevchenko, RA Benn, R Scholz, W Wei… - bioRxiv, 2024 - biorxiv.org
Functional connectivity holds promise as a biomarker of psychiatric disorders. Yet, its high
dimensionality, combined with small sample sizes in clinical research, increases the risk of …

Gamer in the scanner: Event-related analysis of fMRI activity during retro videogame play guided by automated annotations of game content

Y Harel, B Pinsard, J Boyle, A Cyr, M Le Clei… - 2023 - osf.io
In recent years, videogames have gathered interest in cognitive neuroscience for their
potential to study cognition in dynamical and naturalistic contexts. Yet, inherent game …

Alignment of auditory artificial networks with massive individual fMRI brain data leads to generalizable improvements in brain encoding and downstream tasks

M Freteault, M Le Clei, L Tetrel, P Bellec, N Farrugia - bioRxiv, 2023 - biorxiv.org
Artificial neural networks are emerging as key tools to model brain processes associated
with sound in auditory neuroscience. Most modelling works fit a single model with brain …

A benchmark of individual auto-regressive models in a massive fMRI dataset

F Paugam, B Pinsard, G Lajoie, P Bellec - Imaging Neuroscience, 2024 - direct.mit.edu
Dense functional magnetic resonance imaging datasets open new avenues to create auto-
regressive models of brain activity. Individual idiosyncrasies are obscured by group models …

Joint subject-identification and task-decoding from inferred functional brain graphs via a multi-task neural network

ES Balcioglu, B Doner, E Sareen, D Van De Ville… - bioRxiv, 2023 - biorxiv.org
Functional connectivity (FC) between brain regions as manifested via fMRI entails
signatures that can be used to identify individuals and decode cognitive tasks. In this work …

Understanding Cognitive and Psychopathological Variability: The Role of Individual Differences in Machine Learning Applications

AG Porter - 2024 - search.proquest.com
The study of psychiatric disorders often involves tracking changes in brain function as it
relates to symptoms. While research has found significant differences in functional network …