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JAMA Psychiatry|July 8, 2016
Polygenic Risk of Psychosis and Ventral Striatal Activation During Reward Processing in Healthy AdolescentsThomas M Lancaster, David E Linden, Katherine E Tansey, et al.
Molecular Psychiatry|December 9, 2022
Anxiety onset in adolescents: a machine-learning predictionAlice V Chavanne, Marie Laure Paillère Martinot, Jani Penttilä, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|April 22, 2026
Model-based analysis of stop-signal data reveals robust neural and clinical correlates of evidence accumulation but not inhibitionYihe Weng, Rory Boyle, Chi Tak Lee, et al.
Translational Psychiatry|September 28, 2018
Genetic risk for schizophrenia and autism, social impairment and developmental pathways to psychosisEva Velthorst, Sean Froudist-Walsh, Eli Stahl, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
Neurocognitive characterization of behaviour and mental illness through time-varying brain network analysisXiao Chang, Tianye Jia, Zening Fu, et al.
Research Square|July 18, 2025
Lifespan investigation of brain volumetric changes associated with substance use disordersRunye Shi, Shitong Xiang, Dag Alnæs, et al.
Nature Communications|September 16, 2024
Regional patterns of human cortex development correlate with underlying neurobiologyLeon D Lotter, Amin Saberi, Justine Y Hansen, et al.
Journal of the American Academy of Child and Adolescent Psychiatry|December 26, 2021
Brain Signatures During Reward Anticipation Predict Persistent Attention-Deficit/Hyperactivity Disorder SymptomsDi Chen, Tianye Jia, Wei Cheng, et al.
Addiction (Abingdon, England)|January 10, 2025
Impulsivity behaviors and white matter mediate the relationship between genetic risk for cannabis use disorder and early cannabis use in adolescentsRenata Basso Cupertino, Sarah Elizabeth Medland, Jonatan Ottino-Gonzalez, et al.
Elife|May 26, 2022
Structural differences in adolescent brains can predict alcohol misuseRoshan Prakash Rane, Evert Ferdinand de Man, JiHoon Kim, et al.
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