Publication date: Apr 13, 2025
Task-fMRI analyses typically focus on localized activation contrasts between stimuli, neglecting the dynamic hierarchy of the brain. 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.
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | depression |
| disease | MESH | alcohol abuse |
| drug | DRUGBANK | Etodolac |
| drug | DRUGBANK | Diethylstilbestrol |
| disease | MESH | Eating Disorders |
| drug | DRUGBANK | Spinosad |
| drug | DRUGBANK | Tilmicosin |
| disease | MESH | impulsivity |
| disease | MESH | major depressive disorder |
| drug | DRUGBANK | Ethanol |
| disease | MESH | mental disorders |
| pathway | KEGG | Alcoholism |
| disease | MESH | compulsive behavior |