title: Precision psychiatry: a neural circuit taxonomy for depression and anxiety.
abstract: Although there have been tremendous advances in the understanding of human dysfunctions in the brain circuitry for self-reflection, emotion, and cognitive control, a brain-based taxonomy for mental disease is still lacking. As a result, these advances have not been translated into actionable clinical tools, and the language of brain circuits has not been incorporated into training programmes. To address this gap, I present this synthesis of published work, with a focus on functional imaging of circuit dysfunctions across the spectrum of mood and anxiety disorders. This synthesis provides the foundation for a taxonomy of putative types of dysfunction, which cuts across traditional diagnostic boundaries for depression and anxiety and includes instead distinct types of neural circuit dysfunction that together reflect the heterogeneity of depression and anxiety. This taxonomy is suited to specifying symptoms in terms of underlying neural dysfunction at the individual level and is intended as the foundation for building mechanistic research and ultimately guiding clinical practice.
authors.affiliation: Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA. Electronic address: leawilliams@stanford.edu.
authors.forename: Leanne M
authors.initials: LM
authors.lastname: Williams
mesh_terms: D001007:Anxiety / Q000503:physiopathology*; D001921:Brain / Q000503:physiopathology*; D003863:Depression / Q000503:physiopathology*; D006801:Humans; D009434:Neural Pathways / Q000503:physiopathology; D011570:Psychiatry