Work

Modifiable predictors of nonresponse to psychotherapies for late-life depression with executive dysfunction: a machine learning approach

Year: 2020

Type: article

Source: Molecular Psychiatry

DOI: 10.1038/s41380-020-0836-z

Authors: Nili Solomonov, Jihui Lee, Samprit Banerjee, Christoph Flückiger, Dora Kanellopoulos, Faith M. Gunning, Jo Anne Sirey, Conor Liston, Patrick J. Raue, Thomas D. Hull, Patricia A. Areán, George S. Alexopoulos

Institutions: Cornell University, Weill Cornell Medicine, University of Zurich, University of Washington, Columbia University

Language: English

Topic: Psychotherapy Techniques and Applications

Subfield: Clinical Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Health and Human Services, National Institutes of Health, National Institute of Mental Health

Awards: G1639778432, PST in Geriatric Depression with Executive Dysfunction, ALACRITY for Late- and Mid-Life Mood Disorders, Positive valence systems engagement during social reward exposure psychotherapy for mid- and late-life depression, G4508449411, G5128213490, G5732215481, G7916569439, PST in Geriatric Depression with Executive Dysfunction, Efficacy of biomarker-guided rTMS for treatment resistant depression, Research Fellowship in Geriatric Mood Disorders, G900987545

OpenAlex ID: W3041054623

FWCI: 1.57

Cites: 41

Cited by: 41

Related to: 10