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Neurocircuitry of treatment in anxiety disorders

BACKGROUND: Understanding how treatments change neurobiology is critical to developing predictors of treatment response. This is especially true for anxiety disorders—the most common psychiatric disorders across the lifespan. With this in mind, we examined neurofunctional predictors of treatment res...

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Autores principales: Baumel, W. Tommy, Lu, Lu, Huang, Xiaoqi, Drysdale, Andrew T., Sweeny, John A., Gong, Qiyong, Sylvester, Chad M., Strawn, Jeffrey R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222661/
https://www.ncbi.nlm.nih.gov/pubmed/35756886
http://dx.doi.org/10.1016/j.bionps.2022.100052
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author Baumel, W. Tommy
Lu, Lu
Huang, Xiaoqi
Drysdale, Andrew T.
Sweeny, John A.
Gong, Qiyong
Sylvester, Chad M.
Strawn, Jeffrey R.
author_facet Baumel, W. Tommy
Lu, Lu
Huang, Xiaoqi
Drysdale, Andrew T.
Sweeny, John A.
Gong, Qiyong
Sylvester, Chad M.
Strawn, Jeffrey R.
author_sort Baumel, W. Tommy
collection PubMed
description BACKGROUND: Understanding how treatments change neurobiology is critical to developing predictors of treatment response. This is especially true for anxiety disorders—the most common psychiatric disorders across the lifespan. With this in mind, we examined neurofunctional predictors of treatment response and neurofunctional changes associated with treatment across anxiety disorders. METHODS: PubMed/Medline was searched for prospective treatment studies that included parallel examinations of functional activation or connectivity (both task-based and resting state) in adults and youth with panic disorder and generalized, separation, and/or social anxiety disorders published before April 30, 2021. All studies examining baseline predictors or changes related to pharmacologic and psychotherapeutic treatment of DSM-TV and DSM-5 anxiety disorders were included. Demographic, clinical, and treatment data as well as neurofunctional outcomes were extracted and summarized. RESULTS: Twenty-nine studies examined changes in functional activation and/or connectivity (56 treatment arms) related to treatment and twenty-three examined neurofunctional predictors of treatment response. Predictors of treatment response and treatment-related neurofunctional changes were frequently observed within amygdala-prefrontal circuits. However, immense heterogeneity and few replication studies preclude a cohesive neurofunctional treatment response model across anxiety disorders. CONCLUSIONS: The extant literature describing neurofunctional aspects of treatment response in anxiety disorders is best viewed as a partially constructed scaffold on which to build a clinically translatable set of robust neuroimaging biomarkers that can be used to guide treatment and to select from available treatment. The construction of this understanding will require harmonization of analytic and task approaches, larger samples, and replication of component studies.
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spelling pubmed-92226612022-06-23 Neurocircuitry of treatment in anxiety disorders Baumel, W. Tommy Lu, Lu Huang, Xiaoqi Drysdale, Andrew T. Sweeny, John A. Gong, Qiyong Sylvester, Chad M. Strawn, Jeffrey R. Biomark Neuropsychiatry Article BACKGROUND: Understanding how treatments change neurobiology is critical to developing predictors of treatment response. This is especially true for anxiety disorders—the most common psychiatric disorders across the lifespan. With this in mind, we examined neurofunctional predictors of treatment response and neurofunctional changes associated with treatment across anxiety disorders. METHODS: PubMed/Medline was searched for prospective treatment studies that included parallel examinations of functional activation or connectivity (both task-based and resting state) in adults and youth with panic disorder and generalized, separation, and/or social anxiety disorders published before April 30, 2021. All studies examining baseline predictors or changes related to pharmacologic and psychotherapeutic treatment of DSM-TV and DSM-5 anxiety disorders were included. Demographic, clinical, and treatment data as well as neurofunctional outcomes were extracted and summarized. RESULTS: Twenty-nine studies examined changes in functional activation and/or connectivity (56 treatment arms) related to treatment and twenty-three examined neurofunctional predictors of treatment response. Predictors of treatment response and treatment-related neurofunctional changes were frequently observed within amygdala-prefrontal circuits. However, immense heterogeneity and few replication studies preclude a cohesive neurofunctional treatment response model across anxiety disorders. CONCLUSIONS: The extant literature describing neurofunctional aspects of treatment response in anxiety disorders is best viewed as a partially constructed scaffold on which to build a clinically translatable set of robust neuroimaging biomarkers that can be used to guide treatment and to select from available treatment. The construction of this understanding will require harmonization of analytic and task approaches, larger samples, and replication of component studies. 2022-06 2022-04-22 /pmc/articles/PMC9222661/ /pubmed/35756886 http://dx.doi.org/10.1016/j.bionps.2022.100052 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Baumel, W. Tommy
Lu, Lu
Huang, Xiaoqi
Drysdale, Andrew T.
Sweeny, John A.
Gong, Qiyong
Sylvester, Chad M.
Strawn, Jeffrey R.
Neurocircuitry of treatment in anxiety disorders
title Neurocircuitry of treatment in anxiety disorders
title_full Neurocircuitry of treatment in anxiety disorders
title_fullStr Neurocircuitry of treatment in anxiety disorders
title_full_unstemmed Neurocircuitry of treatment in anxiety disorders
title_short Neurocircuitry of treatment in anxiety disorders
title_sort neurocircuitry of treatment in anxiety disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222661/
https://www.ncbi.nlm.nih.gov/pubmed/35756886
http://dx.doi.org/10.1016/j.bionps.2022.100052
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