Emotional facial expression recognition and depression in adolescent girls: Associations with clinical features

Porter-Vignola, Élyse; Booij, Linda; Chartier, Gabrielle; Garel, Pascal; Herba, Catherine M.

doi:10.1016/j.psychres.2021.113777

Cited by 11 publications

(6 citation statements)

References 38 publications

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“…Alternatively, that depressed adolescent females were less likely to correctly identify angry faces than males is consistent with a previous study reporting that depressed females were less sensitive to angry emotional faces. 51 In contrast to these gender differences, we found no significant disparities in the accuracy of sad face recognition, possibly because sadness is a less physiologically and psychologically intense negative emotion than fear or anger. Thus, it appears that only highly stimulating negative emotional information can reveal gender differences in facial emotion recognition among adolescents with depression and NSSI.…”

Section: Discussioncontrasting

confidence: 72%

Gender Differences in Facial Emotion Recognition Among Adolescents Depression with Non-Suicidal Self-Injury

He,

Ji,

Sun

et al. 2023

PRBM

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Objective Despite the perception that healthy female are superior at emotional identification, it remains unclear whether gender-specific differences exist in adolescent depression and whether such specific differences in emotional recognition are associated with the most salient feature of adolescent depression---non-suicidal self-injury (NSSI). Methods In this study, 1428 adolescents (1136 females and 292 males) with depression and NSSI were examined using the Facial Emotion Recognition Task, Patient Health Questionnaire-9 (PHQ-9), and Functional Assessment of Self-mutilation questionnaire (FASM). This study was grouped by gender. Data were analyzed using the descriptive statistics, independent sample t -test, chi-square test, non-parametric test (Mann–Whitney U -test), Spearman correlation and Multiple linear regression analysis. Results Depressed females reported a significantly greater frequency of self-injurious behaviour and more severe depressive symptoms than males. Face emotion recognition was also significantly more accurate in females and was positively correlated with levels of self-injury and depression, whereas no such correlations were found in males. Among depressed adolescents, face emotion recognition is better in females and is associated with self-injurious behaviour. Conclusion This study found that the greater susceptibility to depression and NSSI among adolescent females may stem in part from superior recognition and sensitivity to the negative emotions of others.

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Section: Discussioncontrasting

confidence: 72%

Gender Differences in Facial Emotion Recognition Among Adolescents Depression with Non-Suicidal Self-Injury

He,

Ji,

Sun

et al. 2023

PRBM

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“…Of the 24 facial emotion recognition studies that referenced intensity levels of their stimuli, only eight (33.3%) reported results for different intensity levels (Auerbach et al, 2015;Bowen et al, 2014;Hauschild et al, 2020;Lee et al, 2013;Martin-Key et al, 2018;Pozzoli et al, 2017;Smith et al, 2010;Zupan, 2015); five (20.8%) additional studies reported accuracy for high intensity expressions only (Fairchild et al, 2009;Legenbauer et al, 2018;Lydon & Nixon, 2014;Sully et al, 2015;Whitaker & Widen, 2018). Of the remaining studies, eight (33.3%) reported results based on an overall intensity only (Airdrie et al, 2018;Fairchild et al, 2010;Hauschild et al, 2020;Kessels et al, 2014;McClure et al, 2005;Novello et al, 2018;Shenk et al, 2013;Thomas et al, 2007;van Rijn et al, 2011), and four (16.7%) reported results based on the minimum intensity threshold for recognition (Leganes-Fonteneau et al, 2020;Porter-Vignola et al, 2021;Short et al, 2016;Vanhalst et al, 2017). Only one of the seven studies investigating vocal emotion recognition examined intensity (Zupan, 2015); this study reported overall recognition of vocal emotion expressions, but also recognition of high and low intensity expressions.…”

Section: Emotion Expression Characteristicsmentioning

confidence: 99%

“…of the studies (n = 36; 76.6%) included both male and female participants. Of the remaining 11 studies, 7 (14.9%) included only females(Auerbach et al, 2015;Fairchild et al, 2010; Lule et al, 2014;Porter-Vignola et al, 2021; H happy, S sad, A angry, F fearful, D disgust, Sur surprise, N neutral…”

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confidence: 99%

Facial and Vocal Emotion Recognition in Adolescence: A Systematic Review

Zupan

Eskritt

2023

Adolescent Res Rev

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The ability to recognize emotion is important to wellbeing and building relationships with others, making this skill important in adolescence. Research investigating adolescents’ ability to recognize facial and vocal emotion expressions has reported differing conclusions about the pattern of emotion recognition across this developmental period. This systematic review aimed to clarify the pattern of recognition for facial and vocal emotion expressions, and the relationship of performance to different task and emotion expression characteristics. A comprehensive and systematic search of the literature was conducted using six databases. To be eligible for inclusion, studies had to report data for adolescents between 11 and 18 years of age and measure accuracy of the recognition of emotion cues in either the face or voice. A total of 2333 studies were identified and 47 met inclusion criteria. The majority of studies focused on facial emotion recognition. Overall, early, mid-, and late-adolescents showed a similar pattern of recognition for both facial and vocal emotion expressions with the exception of Sad facial expressions. Sex of the participant also had minimal impact on the overall recognition of different emotions. However, analysis showed considerable variability according to task and emotion expression characteristics. Future research needs to increase focus on recognition of complex emotions, and low-intensity emotion expressions as well as the influence of the inclusion of Neutral as a response option.

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“…These adverse outcomes can be mainly attributed to the cognitive impairments and neuroanatomical irregularities associated with depression. Prior research has shown that adolescents with MDD experience cognitive impairments in many domains, including memory [4], emotion recognition [5], attention, and cognitive control [6]. At the neuroanatomical level, substantial evidence from adolescent patients has implicated abnormalities of the hippocampus [7], a core region of the limbic system that is intricately linked to cognitive abilities.…”

Section: Introductionmentioning

confidence: 99%

Revealing complexity: Segmentation of hippocampal subfields in adolescents with major depressive disorder reveals specific links to cognitive dysfunctions

Zhang,

Liu,

Yang

et al. 2024

Eur. Psychiatr.

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BackgroundHippocampal disruptions represent potential neuropathological biomarkers in depressed adolescents with cognitive dysfunctions. Given heterogeneous outcomes of whole-hippocampus analyses, we investigated subregional abnormalities in depressed adolescents, and their associations with symptom severity and cognitive dysfunctions. MethodsSeventy-nine first-episode depressive patients (age = 15.54±1.83) and seventy-one healthy controls (age = 16.18±2.85) were included. All participants underwent T1 and T2 weighted imaging, completed depressive severity assessments and performed cognitive assessments on memory, emotional recognition, cognitive control, and attention abilities. Freesurfer v6.0 was used to segment each hippocampus into 12 subfields. Multivariable analyses of variance were performed to identify overall and disease severity related abnormalities in patients. LASSO regression was also conducted to explore the associations between hippocampal subfields and cognitive abilities in patients. ResultsDepressed adolescents showed decreases in the dentate gyrus, CA1, CA2/3, CA4, fimbria, tail, and molecular layer. Analyses of overall symptom severity, duration, selfharm behaviour and suicidality suggested that severity-related decreases mainly manifested in CA regions and involved surrounding subfields with disease severity increases. LASSO regression indicated that hippocampal subfields abnormalities had strongest associations with memory impairments, with CA regions and dentate gyrus showing highest weights. ConclusionsHippocampal abnormalities are widespread in depressed adolescents and such abnormalities may spread from CA regions to surrounding areas with the disease progresses. Abnormalities in CA regions and dentate gyrus among these subfields primarily link with memory impairments in patients. These results demonstrate that hippocampal subsections may serve as useful biomarkers of depression progression in adolescents, offering new directions for early clinical intervention.

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Emotional facial expression recognition and depression in adolescent girls: Associations with clinical features

Cited by 11 publications

References 38 publications

Gender Differences in Facial Emotion Recognition Among Adolescents Depression with Non-Suicidal Self-Injury

Gender Differences in Facial Emotion Recognition Among Adolescents Depression with Non-Suicidal Self-Injury

Facial and Vocal Emotion Recognition in Adolescence: A Systematic Review

Revealing complexity: Segmentation of hippocampal subfields in adolescents with major depressive disorder reveals specific links to cognitive dysfunctions

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