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Psychological MedicineNeurosciencePeer-reviewed journal article

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

Matthew F. ThompsoniD, Marjan Ghahramanlou‐HollowayiD, Mikela A. MurphyiD, Kanchana U. Perera, Chelsie E. Benca‐BachmaniD, Rohan H. C. PalmeriD, Joshua C. GrayiD

PDFDOIPreprint

Abstract

BackgroundPrior 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. MethodsUsing 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. ResultsThere 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. ConclusionsResting-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.

Citations
4
FWCI
0.45
Field percentile
top 43%

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