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DOI 10.1017/s0033291723001356

Медицинская библиотека · Psychological medicine · 2023

Resting-state network analysis of suicide attempt history in the UK Biobank.

Thompson Matthew F, Ghahramanlou-Holloway Marjan, Murphy Mikela A, Perera Kanchana U, Benca-Bachman Chelsie, Palmer Rohan H C, Gray Joshua C

СтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

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.

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.

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.

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.

Для цитирования: Thompson Matthew F, Ghahramanlou-Holloway Marjan, Murphy Mikela A, Perera Kanchana U, Benca-Bachman Chelsie, Palmer Rohan H C, Gray Joshua C. Resting-state network analysis of suicide attempt history in the UK Biobank.. Psychological medicine. 2023. DOI: 10.1017/s0033291723001356.

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