Plain-language explanation.
Psychiatric neuroscience studies the biological basis of mental health disorders. Conditions like depression, schizophrenia, and anxiety involve changes in brain circuits, neurotransmitters, and genetic factors. Understanding the neuroscience of mental health is leading to better treatments and reducing the stigma of mental illness.
Core concepts and standard treatment.
Psychiatric disorders are increasingly understood through neurobiological frameworks. Depression involves dysregulation of serotonergic, dopaminergic, and glutamatergic systems; structural changes (reduced hippocampal volume); and HPA axis hyperactivity. Schizophrenia involves dopaminergic dysregulation (D2 receptor hyperactivity in striatum, hypoactivity in prefrontal cortex), glutamate hypofunction (NMDA receptor), and structural changes (enlarged ventricles, reduced prefrontal grey matter). Anxiety disorders involve amygdala hyperactivity and prefrontal cortex hyporegulation.
Deeper theory, debates and edge cases.
The Research Domain Criteria (RDoC) framework moves psychiatric research from symptom-based diagnostic categories (DSM, ICD) to neurobiological dimensions — positive valence systems, negative valence systems, cognitive systems, social processes, and arousal/regulatory systems. Psychopharmacology: SSRIs/SNRIs modulate serotonergic/noradrenergic systems in depression and anxiety; second-generation antipsychotics combine D2 and 5-HT2A antagonism; ketamine/esketamine produce rapid antidepressant effects via NMDA receptor antagonism and AMPA receptor potentiation.
How it is applied in practice.
Emerging psychiatric treatments: transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) modulate cortical excitability in depression; deep brain stimulation (DBS) for treatment-resistant depression and OCD; psilocybin-assisted therapy for depression and PTSD is showing promising results in Phase 2-3 trials. Precision psychiatry uses multi-modal biomarkers (neuroimaging, genomics, digital phenotyping, actigraphy) to predict treatment response — moving towards personalised treatment selection. The mental health treatment gap — globally, 70-85% of people with mental disorders receive no treatment — motivates digital mental health interventions (apps, chatbots, online CBT) as scalable delivery mechanisms.