Ian H. Gotlib

Dec 9, 2024 | ejog.org | Danielle M. Panelli |Jonathan Mayo |Ronald J. Wong |Martin Becker |Dorien Feyaerts |Ivana Maric | +8 more

Dear Editorial Board for European Journal of Obstetrics & Gynecology and Reproductive Biology,The authors regret that a data error has been detected in the above referenced manuscript, which does not alter the findings of the study. However, we would like to issue an erratum to correct the data errors which were related to coding of two variables (race/ethnicity and parity).

Aug 20, 2024 | psiquiatria.com | Jessica Uy |Ian H. Gotlib

IntroducciónLa exposición a la adversidad en los primeros años de vida (ELA) se ha vinculado a un riesgo elevado de desarrollar depresión durante la adolescencia, especialmente en mujeres. A pesar de esta asociación bien documentada, los mecanismos subyacentes que explican cómo la ELA contribuye al desarrollo de síntomas depresivos y las diferencias de género observadas en estos síntomas no están completamente comprendidas.

Jun 17, 2024 | nature.com | Leonardo Tozzi |Xue Zhang |Adam R. Pines |Emily Zhai |Sarah Chang |Laura Hack | +11 more

There is an urgent need to derive quantitative measures based on coherent neurobiological dysfunctions or ‘biotypes’ to enable stratification of patients with depression and anxiety. We used task-free and task-evoked data from a standardized functional magnetic resonance imaging protocol conducted across multiple studies in patients with depression and anxiety when treatment free (n = 801) and after randomization to pharmacotherapy or behavioral therapy (n = 250). From these patients, we derived personalized and interpretable scores of brain circuit dysfunction grounded in a theoretical taxonomy. Participants were subdivided into six biotypes defined by distinct profiles of intrinsic task-free functional connectivity within the default mode, salience and frontoparietal attention circuits, and of activation and connectivity within frontal and subcortical regions elicited by emotional and cognitive tasks. The six biotypes showed consistency with our theoretical taxonomy and were distinguished by symptoms, behavioral performance on general and emotional cognitive computerized tests, and response to pharmacotherapy as well as behavioral therapy. Our results provide a new, theory-driven, clinically validated and interpretable quantitative method to parse the biological heterogeneity of depression and anxiety. Thus, they represent a promising approach to advance precision clinical care in psychiatry. Personalized brain circuit measures quantified using a new imaging technology in 801 patients with depression and anxiety identify six biotypes with unique symptoms, behaviors and responses to different types of treatment.

Jan 10, 2024 | nature.com | Francesco Benedetti |Kathryn Cullen |Ian H. Gotlib |J Hamilton |Thomas Lancaster |Sara Poletti | +5 more

AbstractMachine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting.

Dec 29, 2023 | acamh.onlinelibrary.wiley.com | Jessica Uy |Ian H. Gotlib

Supporting Information Filename Description jcpp13942-sup-0001-Supinfo.docxWord 2007 document , 252.4 KB Figure S1. Results from the moderated mediation analysis testing conditional indirect effects of subjective cumulative severity ratings of early life adversity and changes in depressive symptoms through initial levels of and changes in sleep problems (in parallel). Table S1.