Functional Fingerprinting for the Developing Brain Using Deep Metric Learning: An ABCD Study

Brisbane Convention & Exhibition Centre 

Individual differences in brain function have been prominently observed during development. To characterize this uniqueness, researchers use functional magnetic resonance imaging (fMRI) based brain fingerprinting, achieving high-precision individual identification in adults (Finn, 2015). Current methods demonstrate great potential in capturing functional fingerprints, yet more refined methodologies are needed to delineate the unique developmental trajectory of the brain. Here, we propose a deep learning framework for longitudinal functional fingerprinting in early adolescents, identifying unique brain functional patterns relating to cognitive abilities and genetics.