Douglas Mental Health University Institute

Schizophrenia research in 2026: report from the annual meeting of the Schizophrenia International Research Society

Abstract SIRS 2026, held under the theme “Schizophrenia Research in the Era of Artificial Intelligence,” brought together researchers, clinicians, and persons with lived experience to take stock of a field whose tools for measuring, predicting, and intervening in psychosis have e...

From pathogenesis to non-medical therapy: A review of exploring sensory and multi-sensory stimulation as a non-invasive treatment approach for Alzheimer’s disease

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, marked by the accumulation of amyloid-beta plaques, tau pathology, and synaptic dysfunction, ultimately leading to memory loss, cognitive decline, neuropsychiatric symptoms and neuronal degeneration that impair...

Rapid estimation of structural brain disconnection from binary lesion masks using DeepDisco

Abstract Mapping how focal brain lesions disrupt structural connectivity is key to understanding cognition, behavior, and neurological outcomes. However, traditional diffusion tractography pipelines are computationally intensive, require specialized data and expertise, and remain...

Integrating HiTOP and clinical staging: A developmental framework for multidimensional psychiatric assessment

Abstract Precise assessment and classification of psychopathology are essential components of precision psychiatry. The transdiagnostic clinical staging model holds tremendous promise to advance classification of psychopathology across the lifespan, but it is currently limited in...

Comprehensive Treatment and Monthly 2 Year Follow-Up in Children With ADHD: Randomized Controlled Prospective Study

ObjectivesTo evaluate the efficacy of regular monthly follow up in maintaining treatment gains versus follow up as needed in the community for children ages 6 to 12 years with ADHD.MethodsOne hundred and eighty six children, age 6 to 13 with DSM-IV diagnosed Attention Deficit Hyp...

Data-driven mapping of known and novel fluid biomarker progression profiles in genetic frontotemporal lobar degeneration

Abstract Introduction Recent proteomic studies have identified both established and novel proteins in genetic frontotemporal lobar degeneration (FTLD). However, it remains unclear at what point in the disease these proteins deviate from normal levels and how their trajectories re...