3 papers
cs.LG2025
Predicting Cognition from fMRI:A Comparative Study of Graph, Transformer, and Kernel Models Across Task and Rest Conditions
Jagruti Patel, Mikkel Schöttner, Thomas A. W. Bolton +1
Predicting cognition from neuroimaging data in healthy individuals offers insights into the neural mechanisms underlying cognitive abilities, with potential applications in precisi…
q-bio.NC2025
Comparing and Scaling fMRI Features for Brain-Behavior Prediction
Mikkel Schöttner Sieler, Thomas A. W. Bolton, Jagruti Patel +1
Predicting behavioral variables from neuroimaging modalities such as magnetic resonance imaging (MRI) has the potential to allow the development of neuroimaging biomarkers of menta…
cs.LG2025
Structural Connectome Harmonization Using Deep Learning: The Strength of Graph Neural Networks
Jagruti Patel, Thomas A. W. Bolton, Mikkel Schöttner +5
Small sample sizes in neuroimaging in general, and in structural connectome (SC) studies in particular limit the development of reliable biomarkers for neurological and psychiatric…