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Yu Q, Ruan M, Chen Y, Wang C. Advances in neuroscience research and big data's analysis on anxiety disorder. WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2025; 16:e1692. [PMID: 39390772 DOI: 10.1002/wcs.1692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/16/2024] [Accepted: 07/01/2024] [Indexed: 10/12/2024]
Abstract
Anxiety disorder is a complex disease with the influence of environmental and genetic factors and multimolecular participation, and it is also one of the most common mental disorders. The causes of disorders are not clear but may include a variety of social, psychological, and biological factors. Therefore, neither genetics, neurobiology, nor neuroimaging can independently explain the pathological mechanism. By searching the Web of Science databases, Derwent Innovation Patent database, ClinicalTrials.gov database, and Cortellis database, we analyze the current situation of papers, patents, clinical trials, and drugs of anxiety disorder. Second, the existing literature was reviewed to summarize the neurophysiological mechanism, brain imaging, gene, anti-anxiety drugs, and other aspects of anxiety disorders. This article reviews the research status of anxiety disorders. The heterogeneity of the disease, lack of treatment effectiveness, and gaps in translational medicine still present barriers to further advancement. Thus, in-depth explorations of the underlying biological mechanisms of anxiety disorders, the detection and intervention of biological targets, and further developments based on existing intervention strategies will drive future research on anxiety disorders. This article is categorized under: Neuroscience > Clinical.
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Affiliation(s)
- Qianmei Yu
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Meihua Ruan
- Shanghai Institute of Nutrition and Health, Shanghai Information Center for Life Sciences, Chinese Academy of Science, Shanghai, China
| | - Yongjun Chen
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
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Tomasi J, Lisoway AJ, Zai CC, Zai G, Richter MA, Sanches M, Herbert D, Mohiuddin AG, Tiwari AK, Kennedy JL. Genetic and polygenic investigation of heart rate variability to identify biomarkers associated with Anxiety disorders. Psychiatry Res 2024; 338:115982. [PMID: 38850888 DOI: 10.1016/j.psychres.2024.115982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 05/11/2024] [Accepted: 05/26/2024] [Indexed: 06/10/2024]
Abstract
Given that anxiety disorders (AD) are associated with reduced vagally-mediated heart rate variability (HRV), genetic variants related to HRV may provide insight into anxiety etiology. This study used polygenic risk scores (PRS) to explore the genetic overlap between AD and HRV, and investigated whether HRV-related polymorphisms influence anxiety risk. Resting vagally-mediated HRV was measured using a wearable device in 188 European individuals (AD=101, healthy controls=87). AD PRS was tested for association with resting HRV, and HRV PRS for association with AD. We also investigated 15 significant hits from an HRV genome-wide association study (GWAS) for association with resting HRV and AD and if this association is mediated through resting HRV. The AD PRS and HRV PRS showed nominally significant associations with resting HRV and anxiety disorders, respectively. HRV GWAS variants associated with resting HRV were rs12980262 (NDUFA11), rs2680344 (HCN4), rs4262 and rs180238 (GNG11), and rs10842383 (LINC00477). Mediation analyses revealed that NDUFA11 rs12980262 A-carriers and GNG11 rs180238 and rs4262 C-carriers had higher anxiety risk through lower HRV. This study supports an anxiety-HRV genetic relationship, with HRV-related genetic variants translating to AD. This study encourages exploration of HRV genetics to understand mechanisms and identify novel treatment targets for anxiety.
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Affiliation(s)
- Julia Tomasi
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada.
| | - Amanda J Lisoway
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Clement C Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Gwyneth Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; General Adult Psychiatry and Health Systems Division, CAMH, Toronto, ON, Canada
| | - Margaret A Richter
- Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Frederick W. Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Marcos Sanches
- Biostatistics Core, Centre for Addiction and Mental Health, Toronto, Canada
| | - Deanna Herbert
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ayeshah G Mohiuddin
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Arun K Tiwari
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada.
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
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Tomasi J, Zai CC, Pouget JG, Tiwari AK, Kennedy JL. Heart rate variability: Evaluating a potential biomarker of anxiety disorders. Psychophysiology 2024; 61:e14481. [PMID: 37990619 DOI: 10.1111/psyp.14481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 08/19/2023] [Accepted: 10/20/2023] [Indexed: 11/23/2023]
Abstract
Establishing quantifiable biological markers associated with anxiety will increase the objectivity of phenotyping and enhance genetic research of anxiety disorders. Heart rate variability (HRV) is a physiological measure reflecting the dynamic relationship between the sympathetic and parasympathetic nervous systems, and is a promising target for further investigation. This review summarizes evidence evaluating HRV as a potential physiological biomarker of anxiety disorders by highlighting literature related to anxiety and HRV combined with investigations of endophenotypes, neuroimaging, treatment response, and genetics. Deficient HRV shows promise as an endophenotype of pathological anxiety and may serve as a noninvasive index of prefrontal cortical control over the amygdala, and potentially aid with treatment outcome prediction. We propose that the genetics of HRV can be used to enhance the understanding of the genetics of pathological anxiety for etiological investigations and treatment prediction. Given the anxiety-HRV link, strategies are offered to advance genetic analytical approaches, including the use of polygenic methods, wearable devices, and pharmacogenetic study designs. Overall, HRV shows promising support as a physiological biomarker of pathological anxiety, potentially in a transdiagnostic manner, with the heart-brain entwinement providing a novel approach to advance anxiety treatment development.
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Affiliation(s)
- Julia Tomasi
- Molecular Brain Science Department, Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Clement C Zai
- Molecular Brain Science Department, Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Jennie G Pouget
- Molecular Brain Science Department, Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Arun K Tiwari
- Molecular Brain Science Department, Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - James L Kennedy
- Molecular Brain Science Department, Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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Teckchandani TA, Neary JP, Andrews KL, Maguire KQ, Jamshidi L, Nisbet J, Shields RE, Afifi TO, Sauer-Zavala S, Lix LM, Krakauer RL, Asmundson GJG, Krätzig GP, Carleton RN. Cardioautonomic lability assessed by heart rate variability changes in Royal Canadian Mounted Police cadets during the cadet training program. Front Psychol 2023; 14:1144783. [PMID: 37829079 PMCID: PMC10565660 DOI: 10.3389/fpsyg.2023.1144783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 09/14/2023] [Indexed: 10/14/2023] Open
Abstract
Objective The current study examined variations in cardioautonomic lability during the Royal Canadian Mounted Police (RCMP) Cadet Training Program (CTP) between cadets starting their training who did or did not screen positive for one or more mental health disorders (i.e., posttraumatic stress disorder [PTSD], major depressive disorder [MDD], social anxiety disorder [SAD], generalized anxiety disorder [GAD], panic disorder [PD], alcohol use disorder [AUD]). Methods Electrocardiogram (ECG) signals integrated into Hexoskin garments were used to record ECG and heart rate Over the 26-week CTP. There were 31 heart rate variability (HRV) parameters calculated using Kubios Premium HRV analysis software. Mann-Whitney U-tests were used to perform groupwise comparisons of participant raw values and HRV during the CTP. Results A total of 157 cadets (79% male) were screened for any mental disorder using self-report surveys and then grouped by positive and negative screening. Analyses indicated a statistically significant (p < 0.05) decrease in low frequency (LF): High Frequency (HF) variability during CTP, but only for cadets who endorsed clinically significant anxiety symptoms on the GAD-7 at the start of their training. There were no other statistically significant groupwise differences. Conclusion The results indicate the participants have excellent cardiac health overall and suggest potentially important differences between groups, such that cadets who endorsed clinically significant anxiety symptoms on the GAD-7 showed less variability in the LF:HF ratio over the course of the CTP. The relatively lower variability suggests decreased parasympathetic tone in those without clinically significant anxiety symptoms. The results also have important implications for future investigations of cardioautonomic dysfunction and chronic hypothalamic pituitary adrenal (HPA) axis deviations in policing populations with anxiety disorders; specifically, cardioautonomic inflexibility related to cardiovascular morbidity and mortality. In any case, the current results provide an important baseline for future cardiac research with cadets and serving officers.
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Affiliation(s)
- Taylor A. Teckchandani
- Canadian Institute for Public Safety Research and Treatment-Institut Canadien de Recherche et de Traitement en Sécurité Publique (CIPSRT-ICRTSP), University of Regina, Regina, SK, Canada
| | - J. Patrick Neary
- Faculty of Kinesiology & Health Studies, University of Regina, Regina, SK, Canada
| | - Katie L. Andrews
- Canadian Institute for Public Safety Research and Treatment-Institut Canadien de Recherche et de Traitement en Sécurité Publique (CIPSRT-ICRTSP), University of Regina, Regina, SK, Canada
| | - Kirby Q. Maguire
- Canadian Institute for Public Safety Research and Treatment-Institut Canadien de Recherche et de Traitement en Sécurité Publique (CIPSRT-ICRTSP), University of Regina, Regina, SK, Canada
| | - Laleh Jamshidi
- Canadian Institute for Public Safety Research and Treatment-Institut Canadien de Recherche et de Traitement en Sécurité Publique (CIPSRT-ICRTSP), University of Regina, Regina, SK, Canada
| | - Jolan Nisbet
- Canadian Institute for Public Safety Research and Treatment-Institut Canadien de Recherche et de Traitement en Sécurité Publique (CIPSRT-ICRTSP), University of Regina, Regina, SK, Canada
| | - Robyn E. Shields
- Canadian Institute for Public Safety Research and Treatment-Institut Canadien de Recherche et de Traitement en Sécurité Publique (CIPSRT-ICRTSP), University of Regina, Regina, SK, Canada
- Anxiety and Illness Behaviours Lab, Department of Psychology, University of Regina, Regina, SK, Canada
| | - Tracie O. Afifi
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | | | - Lisa M. Lix
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Rachel L. Krakauer
- Anxiety and Illness Behaviours Lab, Department of Psychology, University of Regina, Regina, SK, Canada
| | - Gordon J. G. Asmundson
- Anxiety and Illness Behaviours Lab, Department of Psychology, University of Regina, Regina, SK, Canada
| | | | - R. Nicholas Carleton
- Canadian Institute for Public Safety Research and Treatment-Institut Canadien de Recherche et de Traitement en Sécurité Publique (CIPSRT-ICRTSP), University of Regina, Regina, SK, Canada
- Anxiety and Illness Behaviours Lab, Department of Psychology, University of Regina, Regina, SK, Canada
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Stam JV, Kallen VL, Westenberg PM. Associations between Autonomic and Endocrine Reactivity to Stress in Adolescence: Related to the Development of Anxiety? Healthcare (Basel) 2023; 11:healthcare11060869. [PMID: 36981526 PMCID: PMC10048500 DOI: 10.3390/healthcare11060869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 03/19/2023] Open
Abstract
Internalizing disorders in adolescence have been associated with disturbances in autonomic and endocrine functioning. Because the prefrontal cortex and the limbic system play a central role in regulating both the autonomic and the endocrine systems, their joint functioning is hypothesized to provide information about the potential development of internalizing symptoms throughout adolescence, notably in the preclinical stage. This hypothesis was tested in a sample of 198 adolescents from the general population. Heart rate variability (HRV) and skin conductance levels (SCLs) were measured before, during, and after a public speaking task. These autonomic parameters were associated with cortisol response to the task in the complete sample as well as in low- and high-anxiety adolescents separately. Self-reported social anxiety, low HRV, and high SCL recovery values were predictive of cortisol response. Importantly, in low-anxiety adolescents, only HRV during the task predicted the cortisol response, whereas, in their highly anxious peers, both HRV and SCL were strongly associated with this response. In the latter finding, age was a prominent factor. Additional analyses supported the idea that the interaction of autonomic and endocrine reactivity is subject to natural development. These findings provide evidence that adolescence might be a period of highly interactive emotional–neurobiological development, particularly with respect to the development of stress management skills.
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Affiliation(s)
- Jacqueline V. Stam
- The Netherlands Organization for Applied Sciences (TNO), Department of Human Behavior & Training, Kampweg 55, 3769 DE Soesterberg, The Netherlands
- Unit Developmental and Educational Psychology, Institute of Psychology, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands
- Correspondence: ; Tel.: +31-6-27622113
| | - Victor L. Kallen
- The Netherlands Organization for Applied Sciences (TNO), Department of Human Behavior & Training, Kampweg 55, 3769 DE Soesterberg, The Netherlands
- Unit Developmental and Educational Psychology, Institute of Psychology, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands
| | - P. Michiel Westenberg
- Unit Developmental and Educational Psychology, Institute of Psychology, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands
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Al-Ezzi A, Kamel N, Faye I, Gunaseli E. Review of EEG, ERP, and Brain Connectivity Estimators as Predictive Biomarkers of Social Anxiety Disorder. Front Psychol 2020; 11:730. [PMID: 32508695 PMCID: PMC7248208 DOI: 10.3389/fpsyg.2020.00730] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 03/25/2020] [Indexed: 12/13/2022] Open
Abstract
Social anxiety disorder (SAD) is characterized by a fear of negative evaluation, negative self-belief and extreme avoidance of social situations. These recurrent symptoms are thought to maintain the severity and substantial impairment in social and cognitive thoughts. SAD is associated with a disruption in neuronal networks implicated in emotional regulation, perceptual stimulus functions, and emotion processing, suggesting a network system to delineate the electrocortical endophenotypes of SAD. This paper seeks to provide a comprehensive review of the most frequently studied electroencephalographic (EEG) spectral coupling, event-related potential (ERP), visual-event potential (VEP), and other connectivity estimators in social anxiety during rest, anticipation, stimulus processing, and recovery states. A search on Web of Science provided 97 studies that document electrocortical biomarkers and relevant constructs pertaining to individuals with SAD. This study aims to identify SAD neuronal biomarkers and provide insight into the differences in these biomarkers based on EEG, ERPs, VEP, and brain connectivity networks in SAD patients and healthy controls (HC). Furthermore, we proposed recommendations to improve methods of delineating the electrocortical endophenotypes of SAD, e.g., a fusion of EEG with other modalities such as functional magnetic resonance imaging (fMRI) and magnetoencephalograms (MEG), to realize better effectiveness than EEG alone, in order to ultimately evolve the treatment selection process, and to review the possibility of using electrocortical measures in the early diagnosis and endophenotype examination of SAD.
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Affiliation(s)
- Abdulhakim Al-Ezzi
- Centre for Intelligent Signal and Imaging Research, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
| | - Nidal Kamel
- Centre for Intelligent Signal and Imaging Research, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
| | - Ibrahima Faye
- Centre for Intelligent Signal and Imaging Research, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
| | - Esther Gunaseli
- Psychiatry Discipline Sub Unit, Universiti Kuala Lumpur, Ipoh, Malaysia
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Wang W, Zhornitsky S, Li CSP, Le TM, Joormann J, Li CSR. Social anxiety, posterior insula activation, and autonomic response during self-initiated action in a Cyberball game. J Affect Disord 2019; 255:158-167. [PMID: 31153052 PMCID: PMC6591038 DOI: 10.1016/j.jad.2019.05.046] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/22/2019] [Accepted: 05/27/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND An earlier study characterized the neural correlates of self-initiated actions in a Cyberball game in healthy individuals. It remains unclear how social anxiety may influence these neural processes. METHODS We examined regional activations to self-initiated actions in 25 adults with low and 25 with high social anxiety (LA and HA, respectively). Skin conductance was recorded concurrently with fMRI. We followed published routines in the analyses of imaging and skin conductance data. RESULTS We hypothesized that HA as compared to LA individuals would demonstrate increased cortical limbic activations during self-initiated actions (tossing or T > receiving or R trials, to control for motor activities) in social exclusion (EX) vs. fair game (FG) scenario. At a corrected threshold, HA as compared with LA group showed increases in bilateral posterior insula activation during T vs. R trials in EX as compared to FG. Further, HA as compared to LA showed higher skin conductance response to tossing trials during EX as compared to FG. LIMITATIONS With a limited sample size, we did not examine potential sex effects. Further, we cannot rule out the effects of depression on the findings. CONCLUSIONS Together, the results suggest that individuals with more severe social anxiety engaged the somatosensory insula to a greater extent and exhibited higher physiological arousal when initiating ball toss during social exclusion in the Cyberball game. Posterior insula response to self-initiated action may represent a biomarker of social anxiety. It remains to be investigated whether interventions to decrease physiological arousal may alleviate social anxiety.
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Affiliation(s)
- Wuyi Wang
- Department of Psychiatry, Yale University, New Haven, CT 06519, United States
| | - Simon Zhornitsky
- Department of Psychiatry, Yale University, New Haven, CT 06519, United States
| | - Clara S-P Li
- Department of Psychiatry, Yale University, New Haven, CT 06519, United States; Phillips Academy, Andover, MA 01810, United States
| | - Thang M Le
- Department of Psychiatry, Yale University, New Haven, CT 06519, United States
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, CT 06520, United States
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University, New Haven, CT 06519, United States; Department of Neuroscience, Yale University, New Haven, CT 06520, United States; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, United States.
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