Literature DB >> 31102892

Adolescent suicide attempts and ideation are linked to brain function during peer interactions.

Madeline B Harms1, Melynda D Casement2, Jia Yuan Teoh3, Sarah Ruiz1, Hannah Scott3, Riley Wedan3, Karina Quevedo4.   

Abstract

Understanding the neural correlates of social interaction among depressed adolescents with suicidal tendencies might help personalize treatment. We tested whether brain function during social interaction is disrupted for depressed adolescents with (1) high suicide ideation and (2) recent attempts. Depressed adolescents with high suicide ideation, including attempters (n = 45;HS) or low suicide ideation (n = 42;LS), and healthy adolescents (n = 39;HC), completed a version of the Cyberball peer interaction task during an fMRI scan. Groups were compared on brain activity during peer exclusion and inclusion versus a non-social condition. During peer exclusion and inclusion, HS youth showed significantly lower activity in precentral and postcentral gyrus, superior temporal gyrus, medial frontal gyrus, insula, and putamen compared to LS youth; and significantly reduced activity in caudate and anterior cingulate cortex compared to HC youth. In a second analysis, suicide attempters (n = 26;SA) were compared to other groups. SA adolescents showed significantly higher activity in ACC and superior and middle frontal gyrus than all other groups. Brain activity was significantly correlated with negative emotionality, social functioning, and cognitive control. Conclusions: Adolescent suicide ideation and attempts were linked to altered neural function during positive and negative peer interactions. We discuss the implications of these findings for suicide prevention efforts.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Adolescence; Cyberball; Neuroimaging; Social interaction; Suicide

Mesh:

Year:  2019        PMID: 31102892     DOI: 10.1016/j.pscychresns.2019.05.001

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  9 in total

1.  Informing the study of suicidal thoughts and behaviors in distressed young adults: The use of a machine learning approach to identify neuroimaging, psychiatric, behavioral, and demographic correlates.

Authors:  Caroline W Oppenheimer; Michele Bertocci; Tsafrir Greenberg; Henry W Chase; Richelle Stiffler; Haris A Aslam; Jeanette Lockovich; Simona Graur; Genna Bebko; Mary L Phillips
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7.  Detecting Suicide Ideation in the Era of Social Media: The Population Neuroscience Perspective.

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8.  Abnormal Dynamic Functional Connectivity of the Left Rostral Hippocampus in Predicting Antidepressant Efficacy in Major Depressive Disorder.

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9.  Functional alterations of the suicidal brain: a coordinate-based meta-analysis of functional imaging studies.

Authors:  Cheng-Feng Chen; Wang-Ni Chen; Bin Zhang
Journal:  Brain Imaging Behav       Date:  2021-08-05       Impact factor: 3.978

  9 in total

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