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Resting-State Network Analysis of Suicide Attempt History in the UK Biobank

View ORCID ProfileMatthew F. Thompson, View ORCID ProfileMarjan Ghahramanlou-Holloway, View ORCID ProfileMikela A. Murphy, Kanchana U. Perera, View ORCID ProfileChelsie Benca-Bachman, View ORCID ProfileRohan H. C. Palmer, View ORCID ProfileJoshua C. Gray
doi: https://doi.org/10.1101/2022.01.04.474947
Matthew F. Thompson
1Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD
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  • ORCID record for Matthew F. Thompson
  • For correspondence: Matthew.Thompson.ctr@usuhs.edu
Marjan Ghahramanlou-Holloway
1Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD
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  • ORCID record for Marjan Ghahramanlou-Holloway
Mikela A. Murphy
1Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD
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  • ORCID record for Mikela A. Murphy
Kanchana U. Perera
1Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD
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Chelsie Benca-Bachman
2Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA
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  • ORCID record for Chelsie Benca-Bachman
Rohan H. C. Palmer
2Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA
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Joshua C. Gray
1Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD
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Abstract

Background Prior research has identified altered brain structure and function in individuals at risk for self-directed violence thoughts and behaviors. However, these studies have largely utilized healthy controls and findings have been inconsistent. Thus, this study examined differences in resting-state functional network connectivity among individuals with lifetime suicide attempt(s) versus lifetime self-directed violence thoughts alone.

Methods Using data from the UK Biobank, this study utilized a series of linear regressions to compare individuals with lifetime suicide attempt(s) (n = 566) versus lifetime self-directed violence thoughts alone (n = 3,447) on within- and between-network resting-state functional connectivity subnetworks.

Results There were no significant between-group differences for between-network, within-network, or whole-brain functional connectivity after adjusting for age, sex, ethnicity, and body mass index and performing statistical corrections for multiple comparisons.

Conclusions Resting-state network measures may not differentiate between individuals with lifetime suicide attempt(s) and lifetime self-directed violence thoughts alone. Null findings diverge from results reported in smaller neuroimaging studies of suicide risk, but are consistent with null findings in other large-scale studies and meta-analyses. Strengths of the study include its large sample size and stringent control group. Future research on a wider array of imaging, genetic, and psychosocial risk factors can clarify relative contributions of individual and combined variables to suicide risk and inform scientific understanding of ideation-to-action framework.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Author Note

  • Disclaimer: The opinions and assertions expressed herein are those of the author(s) and do not necessarily reflect the official policy or position of the Uniformed Services University or the Department of Defense.

  • Disclosures (Conflict of Interest Statement): The authors have no conflicts of interest to disclose. No authors nor their family members claim financial interest in any commercial product, service, or organization providing financial support for this research.

  • https://github.com/CNPsyLab/UKB-Suicide-Resting-State-Network-Analyses

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.
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Posted January 05, 2022.
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Resting-State Network Analysis of Suicide Attempt History in the UK Biobank
Matthew F. Thompson, Marjan Ghahramanlou-Holloway, Mikela A. Murphy, Kanchana U. Perera, Chelsie Benca-Bachman, Rohan H. C. Palmer, Joshua C. Gray
bioRxiv 2022.01.04.474947; doi: https://doi.org/10.1101/2022.01.04.474947
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Resting-State Network Analysis of Suicide Attempt History in the UK Biobank
Matthew F. Thompson, Marjan Ghahramanlou-Holloway, Mikela A. Murphy, Kanchana U. Perera, Chelsie Benca-Bachman, Rohan H. C. Palmer, Joshua C. Gray
bioRxiv 2022.01.04.474947; doi: https://doi.org/10.1101/2022.01.04.474947

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