Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning
Emin Serin, Kerstin Ritter, Günter Schumann, Tobias Banaschewski, André F. Marquand, Henrik Walter, Andreas Heinz, Markus Ralser, Sven Olaf Twardziok, Nilakshi Vaidya, Antoine Bernas, Marcel Jentsch, Esther Hitchen, Elli Polemiti, Hedi Kebir, , George Ogoh
The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.
Communications Biology · Nov 14, 2025Peer-reviewedNeuroscience