@article{ref1,
title="Resting-state network analysis of suicide attempt history in the UK Biobank",
journal="Psychological medicine",
year="2023",
author="Thompson, Matthew F. and Ghahramanlou-Holloway, Marjan and Murphy, Mikela A. and Perera, Kanchana U. and Benca-Bachman, Chelsie and Palmer, Rohan H. C. and Gray, Joshua C.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
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. <br><br>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. <br><br>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. <br><br>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 /> <p>Language: en</p>",
language="en",
issn="0033-2917",
doi="10.1017/S0033291723001356",
url="http://dx.doi.org/10.1017/S0033291723001356"
}