Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety. Tozzi, L., Zhang, X., Pines, A., Olmsted, A. M., Zhai, E. S., Anene, E. T., Chesnut, M., Holt-Gosselin, B., Chang, S., Stetz, P. C., Ramirez, C. A., Hack, L. M., Korgaonkar, M. S., Wintermark, M., Gotlib, I. H., Ma, J., & Williams, L. M. Nature Medicine, 30(7):2076–2087, July, 2024. Publisher: Nature Publishing Group![Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{tozzi2024,
title = {Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety},
volume = {30},
copyright = {2024 The Author(s)},
issn = {1546-170X},
url = {https://www.nature.com/articles/s41591-024-03057-9},
doi = {10.1038/s41591-024-03057-9},
abstract = {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.},
language = {en},
number = {7},
urldate = {2024-09-10},
journal = {Nature Medicine},
author = {Tozzi, Leonardo and Zhang, Xue and Pines, Adam and Olmsted, Alisa M. and Zhai, Emily S. and Anene, Esther T. and Chesnut, Megan and Holt-Gosselin, Bailey and Chang, Sarah and Stetz, Patrick C. and Ramirez, Carolina A. and Hack, Laura M. and Korgaonkar, Mayuresh S. and Wintermark, Max and Gotlib, Ian H. and Ma, Jun and Williams, Leanne M.},
month = jul,
year = {2024},
note = {Publisher: Nature Publishing Group},
keywords = {Depression, Anxiety},
pages = {2076--2087},
file = {Full Text PDF:/Users/lcneuro/Zotero/storage/KPWQ734R/Tozzi et al. - 2024 - Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety.pdf:application/pdf},
}
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