Facial emotion recognition in schizofrenia and depression

Cerroni, Gianluigi; Tempesta, Daniela; Riccardi, Ilaria; Stratta, Paolo; Struglia, F.; Rossi, Alessandro

doi:10.1017/s1121189x00004814

Cited by 2 publications

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“…On this evidence, many studies prove that depressed patients show a labeling (recognition) bias toward negative emotions. More specifically, such investigations reported contradictory results, showing that MDDs can be either faster and/or more accurate (Mandal and Bhattacharya, 1985;Gilboa-Schechtman et al, 2002;Surguladze et al, 2004;Csukly et al, 2010;Milders et al, 2010;Liu et al, 2012) or slower and/or less accurate (Zuroff and Colussy, 1986;Cooley and Nowicki, 1989;Cerroni et al, 2007;Gollan et al, 2008;Csukly et al, 2009;Douglas and Porter, 2010;Anderson et al, 2011;Watters and Williams, 2011;Aldinger et al, 2013) than HC subjects in decoding fear, anger, and, in particular, sadness.…”

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How Major Depressive Disorder Affects the Ability to Decode Multimodal Dynamic Emotional Stimuli

et al. 2016

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Most studies investigating the processing of emotions in depressed patients reported impairments in the decoding of negative emotions. However, these studies adopted static stimuli (mostly stereotypical facial expressions corresponding to basic emotions) which do not reflect the way people experience emotions in everyday life. For this reason, this work proposes to investigate the decoding of emotional expressions in patients affected by recurrent major depressive disorder (RMDD) using dynamic audio/ video stimuli. RMDDs' performance is compared with the performance of patients with adjustment disorder with depressed mood (ADs) and healthy (HCs) subjects. The experiments involve 27 RMDDs (16 with acute depression -RMDD-A and 11 in a compensation phase -RMDD-C), 16 Ads, and 16 HCs. The ability to decode emotional expressions is assessed through an emotion recognition task based on short audio (without video), video (without audio), and audio/video clips. The results show that AD patients are significantly less accurate than HCs in decoding fear, anger, happiness, surprise, and sadness. RMDD-As with acute depression are significantly less accurate than HCs in decoding happiness, sadness, and surprise. Finally, no significant differences were found between HCs and RMDD-Cs in a compensation phase. The different communication channels and the types of emotion play a significant role in limiting the decoding accuracy.

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How Major Depressive Disorder Affects the Ability to Decode Multimodal Dynamic Emotional Stimuli

et al. 2016

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A Pilot Study on the Decoding of Dynamic Emotional Expressions in Major Depressive Disorder

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Scibelli

Vinciarelli

2016

Advances in Neural Networks

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Studies investigating on the ability of depressed patients to decode emotional expressions have mostly exploited static stimuli (i.e., static facial expressions of basic emotions) showing that (even though this was not always the case) depressed patients are less accurate (in literature this is reported as a bias) in decoding negative emotions (fear, sadness and anger). However, static stimuli may not reflect the everyday situations and therefore this pilot study proposes to exploit dynamic stimuli involving both visual and auditory channels. We recruited 16 outpatients with Recurrent Major Depressive Disorder (MDD) matched with 16 healthy controls (HC). Their competence to decode emotional expressions was assessed through an emotion recognition task that included short audio (without video), video (without audio) and audio/video tracks. The results show that depressed patients are less accurate than controls, even though with no statistical significant difference, in decoding fear and anger, but not sadness, happiness and surprise where differences are significant. This is independent of the communication mode (either visual, auditory, or both, even though MDDs perform more worse than HCs in audio/video) and the severity of depressive symptoms, suggesting that the MDDs poorer decoding accuracy towards negative emotions is latent and emerges only during and after stressful events. The poorer decoding accuracy of happiness and (positive) surprise can be due to anhedonia.

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Facial emotion recognition in schizofrenia and depression

Cited by 2 publications

References 21 publications

How Major Depressive Disorder Affects the Ability to Decode Multimodal Dynamic Emotional Stimuli

How Major Depressive Disorder Affects the Ability to Decode Multimodal Dynamic Emotional Stimuli

A Pilot Study on the Decoding of Dynamic Emotional Expressions in Major Depressive Disorder

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