Facial Emotion Recognition in Schizophrenia: Intensity Effects and Error Pattern

Kohler, Christian G.; Turner, Travis H.; Bilker, Warren B.; Brensinger, Colleen M.; Siegel, Steven J.; Kanes, Stephen; Gur, Raquel E.; Gur, Ruben C.

doi:10.1176/appi.ajp.160.10.1768

Cited by 679 publications

(515 citation statements)

References 44 publications

(40 reference statements)

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“…Regarding the recognition of natural faces, we could replicate former findings of an emotion recognition deficit that was differential for the emotion disgust (Kohler et al, 2003;Behere et al, 2009). For the other negative emotions of fear and sadness we could show trends towards decreased performance in schizophrenia patients.…”

Section: Discussionsupporting

confidence: 74%

“…The intensity of the stimuli could have influenced recognition rates in the present study. Kohler et al (2003) directly compared the recognition of mild versus extreme intensities of emotion in patients with schizophrenia and showed that patients were not able to profit from greater emotional intensity. In contrast, schizophrenia patients made more misattributions to other emotions when expressions were more extreme.…”

Section: Methodsological Considerations and Outlookmentioning

confidence: 99%

“…Studies indicated that patients with schizophrenia are impaired in the ability to perceive facial expressions of emotions (Gur et al, 2002a;Schneider et al, 2006;Kohler et al, 2003;Brune, 2005;Hooker and Park, 2002). This impairment seems stable across different stages of the disorder (Wölwer et al, 1996), is manifested in unaffected siblings of patients (Kee et al, 2004), is resistant to antipsychotic treatment (Herbener et al, 2005), and forms a major factor leading to social isolation experienced by many patients (Kee et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Virtual faces as a tool to study emotion recognition deficits in schizophrenia

Dyck

Winbeck

Leiberg

et al. 2010

Psychiatry Research

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Section: Discussionsupporting

confidence: 74%

Section: Methodsological Considerations and Outlookmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual faces as a tool to study emotion recognition deficits in schizophrenia

Dyck

Winbeck

Leiberg

et al. 2010

Psychiatry Research

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“…For example, although some emotional expressions have both visual and auditory components, the major channel for communicating emotions is visual via facial expressions. Thus, visual MMN might be well suited for studying the automatic perceptual component of social cognition (Astikainen & Hietanen, 2009; in disorders where it is impaired, such as in schizophrenia (Csukly et al, 2014;Kohler et al, 2003;Komlosi et al, 2013;Morris, Weickert, & Loughland, 2009). In general, VMMN might be a useful tool for studying deficits in predictive processing in cognitive domains where using visual rather than auditory stimuli is more adequate.…”

Section: Conclusion and Directions For Further Researchmentioning

confidence: 99%

Visual mismatch negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders

Kremláček

Kreegipuu

Tales

et al. 2016

Cortex

113

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The visual mismatch negativity (vMMN) response is an event-related potential (ERP) component, which is automatically elicited by events that violate predictions based on prior events. VMMN experiments use visual stimulus repetition to induce predictions, and vMMN is obtained by subtracting the response to rare unpredicted stimuli from those to frequent stimuli. One increasingly popular interpretation of the mismatch response postulates that vMMN, similar to its auditory counterpart (aMMN), represents a prediction error response generated by cortical mechanisms forming probabilistic representations of sensory signals. Here we discuss the physiological and theoretical basis of vMMN and review thirty-three studies from the emerging field of its clinical applications, presenting a meta-analysis of findings in schizophrenia, mood disorders, substance abuse, neurodegenerative disorders, developmental disorders, deafness, panic disorder and hypertension. Furthermore, we include reports on aging and maturation as they bear upon many clinically relevant conditions. Surveying the literature we found that vMMN is altered in several clinical populations which is in line with aMMN findings. An important potential advantage of vMMN however is that it allows the investigation of deficits in predictive processing in cognitive domains which rely primarily on visual information; a principal sensory modality and thus of vital importance in environmental information processing and response, and a modality which arguably may be more sensitive to some pathological changes. However, due to the relative infancy of research in vMMN compared to aMMN in clinical populations its potential for clinical application is not yet fully appreciated. The aim of this review and meta-analysis therefore is to present, in a detailed systematic manner, the findings from clinically-based vMMN studies, to discuss their potential impact and application, to raise awareness of this measure and to improve our understanding of disease upon fundamental aspects of visual information processing. Furthermore, we include reports on aging and maturation as they bear upon many clinically relevant conditions. Surveying the literature we found that vMMN is altered in several 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 clinical populations which is in line with aMMN findings. An important potential advantage of vMMN however is that it allows the investigation of deficits in predictive processing in cognitive domains which rely primarily on visual information; a principal sensor...

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“…At a higher level we have the two subdomains of understanding emotions and managing emotions. Some of the instruments studied in this field are: Bell Lysaker Emotion Recognition Task (BLERT) [59], Diagnostic Analysis of Nonverbal Accuracy 2 (DANVA2) [60], Face Emotion Discrimination Test (FEDT) [61], Penn Emotion Recognition Task (ER-40) [62]. The Bell Lysaker Emotion Recognition Task and the Penn Emotion Recognition Test were the chosen measures in SCOPE study [7].…”

Section: Arc Publishingmentioning

confidence: 99%

Social Cognition, Negative Symptoms and Psychosocial Functioning in Schizophrenia

Madeira¹,

Caldeira²,

Bajouco³

et al. 2016

IJCNMH

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Although functional recovery could be advocated as an achievable treatment goal, many effective interventions for the treatment of psychotic symptoms, such as antipsychotic drugs, may not improve functioning. The last two decades of cognitive and clinical research on schizophrenia were a turning point for the firm acknowledgment of how relevant social cognitive deficits and negative symptoms could be in predicting psychosocial functioning. The relevance of social cognition dysfunction in schizophrenia patients' daily living is now unabated. In fact, social cognition deficits could be the most significant predictor of functionality in patients with schizophrenia, non-redundantly with neurocognition. Emerging evidence suggests that negative symptoms appear to play an indirect role, mediating the relationship between neurocognition and social cognition with functional outcomes. Further explorations of this mediating role of negative symptoms have revealed that motivational deficits appear to be particularly important in explaining the relationship between both neurocognitive and social cognitive dysfunction and functional outcomes in schizophrenia. In this paper we will address the relative contribution of two key constructs-social cognitive deficits and negative symptoms, namely how intertwined they could be in daily life functioning of patients with schizophrenia.

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Facial Emotion Recognition in Schizophrenia: Intensity Effects and Error Pattern

Abstract: Patients with schizophrenia were impaired in overall emotion recognition, particularly fear and disgust, and did not benefit from increased emotional intensity. Error patterns indicate that patients misidentified neutral cues as negatively valenced.

Cited by 679 publications

References 44 publications

Virtual faces as a tool to study emotion recognition deficits in schizophrenia

Virtual faces as a tool to study emotion recognition deficits in schizophrenia

Visual mismatch negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders

Social Cognition, Negative Symptoms and Psychosocial Functioning in Schizophrenia

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