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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.
Affiliation
  • Thompson MF; Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Ghahramanlou-Holloway M; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA.
  • Murphy MA; Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Perera KU; Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Benca-Bachman C; Department of Psychology, Fordham University, New York, NY, USA.
  • Palmer RHC; Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Gray JC; Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA, USA.
Psychol Med ; 53(16): 7591-7600, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37254555
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Suicide, Attempted / Mental Disorders Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Psychol Med Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Suicide, Attempted / Mental Disorders Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Psychol Med Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom