Your browser doesn't support javascript.
loading
Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety.
Goldstein-Piekarski, Andrea N; Ball, Tali M; Samara, Zoe; Staveland, Brooke R; Keller, Arielle S; Fleming, Scott L; Grisanzio, Katherine A; Holt-Gosselin, Bailey; Stetz, Patrick; Ma, Jun; Williams, Leanne M.
Afiliação
  • Goldstein-Piekarski AN; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California.
  • Ball TM; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
  • Samara Z; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
  • Staveland BR; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
  • Keller AS; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Department of Graduate Program in Neurosciences, Stanford University, Stanford, California.
  • Fleming SL; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Department of Biomedical Informatics, Stanford University, Stanford, California.
  • Grisanzio KA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
  • Holt-Gosselin B; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
  • Stetz P; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California.
  • Ma J; Department of Medicine, University of Illinois at Chicago, Chicago, Illinois; Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, Illinois.
  • Williams LM; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California. Electronic address: leawilliams@stanford.edu.
Biol Psychiatry ; 91(6): 561-571, 2022 03 15.
Article em En | MEDLINE | ID: mdl-34482948
BACKGROUND: Despite tremendous advances in characterizing human neural circuits that govern emotional and cognitive functions impaired in depression and anxiety, we lack a circuit-based taxonomy for depression and anxiety that captures transdiagnostic heterogeneity and informs clinical decision making. METHODS: We developed and tested a novel system for quantifying 6 brain circuits reproducibly and at the individual patient level. We implemented standardized circuit definitions relative to a healthy reference sample and algorithms to generate circuit clinical scores for the overall circuit and its constituent regions. RESULTS: In new data from primary and generalizability samples of depression and anxiety (N = 250), we demonstrated that overall disconnections within task-free salience and default mode circuits map onto symptoms of anxious avoidance, loss of pleasure, threat dysregulation, and negative emotional biases-core characteristics that transcend diagnoses-and poorer daily function. Regional dysfunctions within task-evoked cognitive control and affective circuits may implicate symptoms of cognitive and valence-congruent emotional functions. Circuit dysfunction scores also distinguished response to antidepressant and behavioral intervention treatments in an independent sample (n = 205). CONCLUSIONS: Our findings articulate circuit dimensions that relate to transdiagnostic symptoms across mood and anxiety disorders. Our novel system offers a foundation for deploying standardized circuit assessments across research groups, trials, and clinics to advance more precise classifications and treatment targets for psychiatry.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psiquiatria / Depressão Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Biol Psychiatry Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psiquiatria / Depressão Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Biol Psychiatry Ano de publicação: 2022 Tipo de documento: Article