| Title: | Resting-state network analysis of suicide attempt history in the UK Biobank |
| Journal: | Psychological Medicine |
| Published: | 31 May 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37254555/ |
| DOI: | https://doi.org/10.1017/s0033291723001356 |
| URL: | https://doi.org/10.1101/2022.01.04.474947 |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 11514
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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) v. lifetime self-directed violence thoughts alone.</p>
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) v. lifetime self-directed violence thoughts alone (n = 3447) on within- and between- network resting-state functional connectivity subnetworks.</p>
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. Resting-state network measures may not differentiate between individuals with lifetime suicide attempt(s) and lifetime self-directed violence thoughts alone.</p>
CONCLUSIONS: 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.</p>
7 Authors
- Matthew F. Thompson
- Marjan Ghahramanlou-Holloway
- Mikela A. Murphy
- Kanchana U. Perera
- Chelsie Benca-Bachman
- Rohan H. C. Palmer
- Joshua C. Gray
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