Dataset Information

Emotional face recognition in adolescent suicide attempters and adolescents engaging in non-suicidal self-injury.

ABSTRACT: Little is known about the bio-behavioral mechanisms underlying and differentiating suicide attempts from non-suicidal self-injury (NSSI) in adolescents. Adolescents who attempt suicide or engage in NSSI often report significant interpersonal and social difficulties. Emotional face recognition ability is a fundamental skill required for successful social interactions, and deficits in this ability may provide insight into the unique brain-behavior interactions underlying suicide attempts versus NSSI in adolescents. Therefore, we examined emotional face recognition ability among three mutually exclusive groups: (1) inpatient adolescents who attempted suicide (SA, n = 30); (2) inpatient adolescents engaged in NSSI (NSSI, n = 30); and (3) typically developing controls (TDC, n = 30) without psychiatric illness. Participants included adolescents aged 13-17 years, matched on age, gender and full-scale IQ. Emotional face recognition was evaluated using the diagnostic assessment of nonverbal accuracy (DANVA-2). Compared to TDC youth, adolescents with NSSI made more errors on child fearful and adult sad face recognition while controlling for psychopathology and medication status (ps < 0.05). No differences were found on emotional face recognition between NSSI and SA groups. Secondary analyses showed that compared to inpatients without major depression, those with major depression made fewer errors on adult sad face recognition even when controlling for group status (p < 0.05). Further, compared to inpatients without generalized anxiety, those with generalized anxiety made fewer recognition errors on adult happy faces even when controlling for group status (p < 0.05). Adolescent inpatients engaged in NSSI showed greater deficits in emotional face recognition than TDC, but not inpatient adolescents who attempted suicide. Further results suggest the importance of psychopathology in emotional face recognition. Replication of these preliminary results and examination of the role of context-dependent emotional processing are needed moving forward.

SUBMITTER: Seymour KE

PROVIDER: S-EPMC6642805 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Emotional face recognition in adolescent suicide attempters and adolescents engaging in non-suicidal self-injury.

Seymour Karen E KE Jones Richard N RN Cushman Grace K GK Galvan Thania T Puzia Megan E ME Kim Kerri L KL Spirito Anthony A Dickstein Daniel P DP

European child & adolescent psychiatry 20150606 3

Little is known about the bio-behavioral mechanisms underlying and differentiating suicide attempts from non-suicidal self-injury (NSSI) in adolescents. Adolescents who attempt suicide or engage in NSSI often report significant interpersonal and social difficulties. Emotional face recognition ability is a fundamental skill required for successful social interactions, and deficits in this ability may provide insight into the unique brain-behavior interactions underlying suicide attempts versus NS ...[more]

PMID: 26048103

Similar Datasets

Project description:OBJECTIVE:Depression is linked to alterations in both emotion and self-processing. The current study used functional magnetic resonance imaging (fMRI) to assess neural activation in healthy and depressed youth to a novel task that combined emotion processing with self-face recognition. METHODS:An fMRI study involving 81 adolescents (50.6% females; Mage=14.61, SD=1.65) comprised of depressed (DEP, n=43), and healthy controls (HC, n=38). Participants completed a clinical interview and self-report measures during an initial assessment. In the scanner, adolescents completed a face recognition task, viewing emotional (happy, sad, neutral) images of their own face (self) or the face of another youth (other). RESULTS:DEP youth showed higher activity in the cuneus (F=26.29) and post and precentral gyri (F=20.76), across all conditions compared to HC. Sad faces elicited higher posterior cingulate cortex, precuneus (F=10.36) and inferior parietal cortex activity (F=11.0), and self faces elicited higher precuneus, fusiform (F=16.39), insula and putamen (F=16.82) activity in all youth. DEP showed higher middle temporal activity to neutral faces but lower activity to sad faces compared to HC, who showed the opposite pattern (F=12.86). DEP also showed hypoactive mid-temporal limbic activity relative to controls when identifying their self happy face vs. neutral face, yet showed hyperactivity when identifying the other happy face vs. neutral face, and HC showed the opposite pattern (F=10.94). CONCLUSIONS:The neurophysiology of self-face recognition is altered in adolescent depression. Specifically, depression was associated with decreased activity in neural areas that support emotional and associative processing for positive self-faces and increased processing for neutral self-faces. These results suggest that depression in adolescents is associated with hypoactive emotional processing and encoding of positive self-related visual information. This abnormal neural activity at the intersection of reward and self-processing among depressed youth might have long lasting impact in self-formation and future adult self-representations, given that adolescence is a sensitive period for self-development.

Project description:BackgroundSuicidal thoughts and non-suicidal self-harm are common in adolescents and are strongly associated with suicide attempts. We aimed to identify predictors of future suicide attempts in these high-risk groups.MethodsParticipants were from the Avon Longitudinal Study of Parents and Children, a population-based birth cohort study in the UK. The sample included 456 adolescents who reported suicidal thoughts and 569 who reported non-suicidal self-harm at 16 years of age. Logistic regression analyses were used to explore associations between a wide range of prospectively recorded risk factors and future suicide attempts, assessed at the age of 21 years.Findings38 (12%) of 310 participants with suicidal thoughts and 46 (12%) of 380 participants who had engaged in non-suicidal self-harm reported having attempted suicide for the first time by the follow-up at 21 years of age. Among participants with suicidal thoughts, the strongest predictors of transition to attempts were non-suicidal self-harm (odds ratio [OR] 2·78, 95% CI 1·35-5·74; p=0·0059), cannabis use (2·61, 1·11-6·14; p=0·029), other illicit drug use (2·47, 1·02-5·96; p=0·045), exposure to self-harm (family 2·03, 0·93-4·44, p=0·076; friend 1·85, 0·93-3·69, p=0·081), and higher levels of the personality type intellect/openness (1·62, 1·06-2·46; p=0·025). Among participants with non-suicidal self-harm at baseline, the strongest predictors were cannabis use (OR 2·14, 95% CI 1·04-4·41; p=0·038), other illicit drug use (2·17, 1·10-4·27; p=0·025), sleep problems (waking in the night 1·91, 0·95-3·84, p=0·069; insufficient sleep 1·97, 1·02-3·81, p=0·043), and lower levels of the personality type extraversion (0·71, 0·49-1·03; p=0·068).InterpretationMost adolescents who think about suicide or engage in non-suicidal self-harm will not make an attempt on their life. Many commonly cited risk factors were not associated with transition to suicide attempt among these high-risk groups. Our findings suggest that asking about substance use, non-suicidal self-harm, sleep, personality traits, and exposure to self-harm could inform risk assessments, and might help clinicians to identify which adolescents are at greatest risk of attempting suicide in the future.FundingAmerican Foundation for Suicide Prevention, National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol National Health Service Foundation Trust, and the University of Bristol.

Dataset Information

Emotional face recognition in adolescent suicide attempters and adolescents engaging in non-suicidal self-injury.

Publications

Emotional face recognition in adolescent suicide attempters and adolescents engaging in non-suicidal self-injury.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets