ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders
- PMID: 32618421
- PMCID: PMC8805695
- DOI: 10.1002/hbm.25100
ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders
Abstract
Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders.
Keywords: amygdala; anxiety disorders; genetics; limbic system; magnetic resonance imaging; neuroimaging; prefrontal cortex.
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
Conflict of interest statement
N. J. received a research grant from Biogen, Inc., for work unrelated to this manuscript. P. M. T received a research grant from Biogen, Inc., for work unrelated to this manuscript. N. J. A. W. has received consultancy honoraria from Wyeth, Pfizer, Eli Lilly and Servier, for work unrelated to this manuscript. D. J. S. has received research grants and/or consultancy honoraria from Lundbeck, ORION Pharma and Sun, for work unrelated to this manuscript. All other authors declare no potential conflict of interest.
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References
-
- Adhikari, B. M. , Jahanshad, N. , Shukla, D. , Turner, J. , Grotegerd, D. , Dannlowski, U. , … Kochunov, P. (2018). A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: An ENIGMA rs‐fMRI protocol. Brain Imaging and Behavior, 13, 1453–1467. 10.1007/s11682-018-9941-x - DOI - PMC - PubMed
-
- Ambrosini, P. J. (2000). Historical development and present status of the schedule for affective disorders and schizophrenia for school‐age children (K‐SADS). Journal of the American Academy of Child & Adolescent Psychiatry, 39, 49–58. - PubMed
-
- American Psychiatric Association . (2013). Diagnostic and statistical manual of mental disorders (Vol. DSM‐5, 4th ed.). Washington, DC: American Psychiatric Association Publishing.
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