bioRxiv · 10.1101/2025.04.12.648506
Brain Diffusion Transformer for Personalized Neuroscience and Psychiatry
Abstract
Task-fMRI analyses typically focus on localized activation contrasts between stimuli, neglecting the brains dynamic hierarchy. We introduce Brain Diffusion Transformer (Brain-DiT), a deep generative model capturing recurrent processing underlying individualized neurocognitive state transitions via functional networks. Without prior assumptions, Brain-DiT identifies canonical cognitive regions in the brain and reveals replicable subgroups with distinct neural circuits in large cohorts, offering critical clinical insights overlooked by traditional methods: individuals exhibiting negative emotion bias, linked to language-related regions, had a 12-fold higher likelihood of major depression, and those with maladaptive inhibition strategies, associated with overactive medial frontal regions, showed a 9-fold increased risk of alcohol abuse. By bridging cognitive theory and psychiatric applications, Brain-DiT provides a unified analytical paradigm, paving the way for operational personalized medicine in psychiatry.
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Zhai, R., Hu, Y., Zheng, L., Xiang, S., Xie, C., Peng, L., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bruehl, R., Desrivieres, S., Flor, H., Garavan, H., Gowland, P., Grigis, A., Heinz, A., Lemaitre, H., Martinot, J.-L., Martinot, M.-L. P., Artiges, E., Nees, F., Orfanos, D. P., Poustka, L., Smolka, M. N., Hohmann, S., Holz, N., Vaidya, N., Whelan, R., Zhang, Z., Robinson, L., Winterer, J., King, S., Zhang, Y., Kebir, H., Schmidt, U., Sinclair, J., Stringaris, A., Schumann, G., Bzdok, D., Walter, H., Rolls, E. T., Sahakian, B., Robbins, T. W., Feng, J., Gong, W., Jia, T., IMAGEN Consort. 2025-04-14. Brain Diffusion Transformer for Personalized Neuroscience and Psychiatry. https://doi.org/10.1101/2025.04.12.648506
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