{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhao Y"],"funding":["Beijing Municipal Science and Technology Commission","National Natural Science Foundation of China (National Science Foundation of China)"],"pagination":["320"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12381256"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by genetic predisposition and alterations in brain structural connectivity. While existing studies have established associations between genetic variants and neuroanatomical features, the specific relationships in ADHD remained poorly understood. To address this gap, we developed adversarial deep canonical correlation analysis models (A-DCCA) to disentangle ADHD-specific and non-specific \"gene-white matter\" association patterns. Utilizing diffusion tensor imaging and genotype data from six-hundred ADHD and typically developed children in a Chiese cohort, the current study revealed ADHD-specific correlations between the right cerebral peduncle, right posterior limb of the internal capsule, and gen"],"journal":["Translational psychiatry"],"pubmed_title":["Deep adversarial learning identifies ADHD-specific associations between apoptotic genes and white matter microstructure in frontal-striatum-cerebellum circuit."],"pmcid":["PMC12381256"],"funding_grant_id":["31871259","81671358","Z181100001518005"],"pubmed_authors":["Tian J","Zheng X","Zhang K","Yang L","Zhang J","Zhang H","Fu Z","Yang B","Chang S","Zhao Y","Sun L","Wang N","Ding X","Wang P","Li S","Gao X","Wang Y","Cao Q"],"additional_accession":[]},"is_claimable":false,"name":"Deep adversarial learning identifies ADHD-specific associations between apoptotic genes and white matter microstructure in frontal-striatum-cerebellum circuit.","description":"Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by genetic predisposition and alterations in brain structural connectivity. While existing studies have established associations between genetic variants and neuroanatomical features, the specific relationships in ADHD remained poorly understood. To address this gap, we developed adversarial deep canonical correlation analysis models (A-DCCA) to disentangle ADHD-specific and non-specific \"gene-white matter\" association patterns. Utilizing diffusion tensor imaging and genotype data from six-hundred ADHD and typically developed children in a Chiese cohort, the current study revealed ADHD-specific correlations between the right cerebral peduncle, right posterior limb of the internal capsule, and gen","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Aug","modification":"2026-05-29T19:30:15.676Z","creation":"2026-04-08T05:45:23.411Z"},"accession":"S-EPMC12381256","cross_references":{"pubmed":["40858546"],"doi":["10.1038/s41398-025-03493-2"]}}