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Gerhard S Hellemann - One of the best experts on this subject based on the ideXlab platform.
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Neurocognition and symptoms identify links between facial recognition and Emotion Processing in schizophrenia: meta-analytic findings.
Schizophrenia research, 2013Co-Authors: Joseph Ventura, Rachel C Wood, Amy M Jimenez, Gerhard S HellemannAbstract:In schizophrenia patients, one of the most commonly studied deficits of social cognition is Emotion Processing (EP), which has documented links to facial recognition (FR). But, how are deficits in facial recognition linked to Emotion Processing deficits? Can neurocognitive and symptom correlates of FR and EP help differentiate the unique contribution of FR to the domain of social cognition? A meta-analysis of 102 studies (combined n=4826) in schizophrenia patients was conducted to determine the magnitude and pattern of relationships between facial recognition, Emotion Processing, neurocognition, and type of symptom. Meta-analytic results indicated that facial recognition and Emotion Processing are strongly interrelated (r=.51). In addition, the relationship between FR and EP through voice prosody (r=.58) is as strong as the relationship between FR and EP based on facial stimuli (r=.53). Further, the relationship between Emotion recognition, neurocognition, and symptoms is independent of the Emotion Processing modality - facial stimuli and voice prosody. The association between FR and EP that occurs through voice prosody suggests that FR is a fundamental cognitive process. The observed links between FR and EP might be due to bottom-up associations between neurocognition and EP, and not simply because most Emotion recognition tasks use visual facial stimuli. In addition, links with symptoms, especially negative symptoms and disorganization, suggest possible symptom mechanisms that contribute to FR and EP deficits. © 2013 Elsevier B.V. All rights reserved.
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Neurocognition and symptoms identify links between facial recognition and Emotion Processing in schizophrenia: meta-analytic findings.
Schizophrenia Research, 2013Co-Authors: Joseph Ventura, Rachel C Wood, Amy M Jimenez, Gerhard S HellemannAbstract:Background In schizophrenia patients, one of the most commonly studied deficits of social cognition is Emotion Processing (EP), which has documented links to facial recognition (FR). But, how are deficits in facial recognition linked to Emotion Processing deficits? Can neurocognitive and symptom correlates of FR and EP help differentiate the unique contribution of FR to the domain of social cognition?
Diego A. Pizzagalli - One of the best experts on this subject based on the ideXlab platform.
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Emotion Processing biases and resting eeg activity in depressed adolescents
Depression and Anxiety, 2015Co-Authors: Randy P. Auerbach, Jeremy G. Stewart, Colin H. Stanton, Erik M. Mueller, Diego A. PizzagalliAbstract:Background: Although theorists have posited that adolescent depression is characterized by Emotion-Processing biases (greater propensity to identify sad than happy facial expressions), findings have been mixed. Additionally, the neural correlates associated with putative Emotion-Processing biases remain largely unknown. Our aim was to identify Emotion-Processing biases in depressed adolescents and examine neural abnormalities related to these biases using high-density resting EEG and source localization. Methods: Healthy (n = 36) and depressed (n = 23) female adolescents, aged 13–18 years, completed a facial recognition task in which they identified happy, sad, fear, and angry expressions across intensities from 10% (low) to 100% (high). Additionally, 128-channel resting (i.e., task-free) EEG was recorded and analyzed using a distributed source localization technique (low-resolution electromagnetic tomography (LORETA)). Given research implicating the dorsolateral prefrontal cortex (DLPFC) in depression and Emotion Processing, analyses focused on this region. Results: Relative to healthy youth, depressed adolescents were more accurate for sad and less accurate for happy, particularly low-intensity happy faces. No differences emerged for fearful or angry facial expressions. Further, LORETA analyses revealed greater theta and alpha current density (i.e., reduced brain activity) in depressed versus healthy adolescents, particularly in the left DLPFC (BA9/BA46). Theta and alpha current density were positively correlated, and greater current density predicted reduced accuracy for happy faces. Conclusion: Depressed female adolescents were characterized by Emotion-Processing biases in favor of sad Emotions and reduced recognition of happiness, especially when cues of happiness were subtle. Blunted recognition of happy was associated with left DLPFC resting hypoactivity. Depression and Anxiety 32:693–701, 2015. C
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Emotion‐Processing BIASES AND RESTING EEG ACTIVITY IN DEPRESSED ADOLESCENTS
Depression and anxiety, 2015Co-Authors: Randy P. Auerbach, Jeremy G. Stewart, Colin H. Stanton, Erik M. Mueller, Diego A. PizzagalliAbstract:Although theorists have posited that adolescent depression is characterized by Emotion-Processing biases (greater propensity to identify sad than happy facial expressions), findings have been mixed. Additionally, the neural correlates associated with putative Emotion-Processing biases remain largely unknown. Our aim was to identify Emotion-Processing biases in depressed adolescents and examine neural abnormalities related to these biases using high-density resting EEG and source localization. Healthy (n = 36) and depressed (n = 23) female adolescents, aged 13-18 years, completed a facial recognition task in which they identified happy, sad, fear, and angry expressions across intensities from 10% (low) to 100% (high). Additionally, 128-channel resting (i.e., task-free) EEG was recorded and analyzed using a distributed source localization technique (low-resolution electromagnetic tomography (LORETA)). Given research implicating the dorsolateral prefrontal cortex (DLPFC) in depression and Emotion Processing, analyses focused on this region. Relative to healthy youth, depressed adolescents were more accurate for sad and less accurate for happy, particularly low-intensity happy faces. No differences emerged for fearful or angry facial expressions. Further, LORETA analyses revealed greater theta and alpha current density (i.e., reduced brain activity) in depressed versus healthy adolescents, particularly in the left DLPFC (BA9/BA46). Theta and alpha current density were positively correlated, and greater current density predicted reduced accuracy for happy faces. Depressed female adolescents were characterized by Emotion-Processing biases in favor of sad Emotions and reduced recognition of happiness, especially when cues of happiness were subtle. Blunted recognition of happy was associated with left DLPFC resting hypoactivity. © 2015 Wiley Periodicals, Inc.
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Emotion‐Processing BIASES AND RESTING EEG ACTIVITY IN DEPRESSED ADOLESCENTS
Depression and anxiety, 2015Co-Authors: Randy P. Auerbach, Jeremy G. Stewart, Colin H. Stanton, Erik M. Mueller, Diego A. PizzagalliAbstract:Background: Although theorists have posited that adolescent depression is characterized by Emotion-Processing biases (greater propensity to identify sad than happy facial expressions), findings have been mixed. Additionally, the neural correlates associated with putative Emotion-Processing biases remain largely unknown. Our aim was to identify Emotion-Processing biases in depressed adolescents and examine neural abnormalities related to these biases using high-density resting EEG and source localization. Methods: Healthy (n = 36) and depressed (n = 23) female adolescents, aged 13–18 years, completed a facial recognition task in which they identified happy, sad, fear, and angry expressions across intensities from 10% (low) to 100% (high). Additionally, 128-channel resting (i.e., task-free) EEG was recorded and analyzed using a distributed source localization technique (low-resolution electromagnetic tomography (LORETA)). Given research implicating the dorsolateral prefrontal cortex (DLPFC) in depression and Emotion Processing, analyses focused on this region. Results: Relative to healthy youth, depressed adolescents were more accurate for sad and less accurate for happy, particularly low-intensity happy faces. No differences emerged for fearful or angry facial expressions. Further, LORETA analyses revealed greater theta and alpha current density (i.e., reduced brain activity) in depressed versus healthy adolescents, particularly in the left DLPFC (BA9/BA46). Theta and alpha current density were positively correlated, and greater current density predicted reduced accuracy for happy faces. Conclusion: Depressed female adolescents were characterized by Emotion-Processing biases in favor of sad Emotions and reduced recognition of happiness, especially when cues of happiness were subtle. Blunted recognition of happy was associated with left DLPFC resting hypoactivity. Depression and Anxiety 32:693–701, 2015. C
Gaston Baslet - One of the best experts on this subject based on the ideXlab platform.
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Cognitive-Emotion Processing in psychogenic nonepileptic seizures.
Epilepsy & behavior : E&B, 2019Co-Authors: Rachael Rosales, Barbara A. Dworetzky, Gaston BasletAbstract:Abstract Background Previous literature suggests that cognitive-Emotion Processing contributes to the pathogenesis of psychogenic nonepileptic seizures (PNES). Characterization of alterations in cognitive-Emotion Processing in PNES could inform treatment. Methods In this descriptive, cross-sectional study, 143 patients with video electroencephalogram (EEG) confirmed PNES were prospectively recruited. Patients completed self-report questionnaires on Emotion perception (Trait Meta-Mood Scale (TMMS) attention and clarity subscales) and coping style (Affective Styles Questionnaire [ASQ] concealing, adjusting, and tolerating subscales) at the time of their initial evaluation for PNES. Demographic, clinical data and measures of psychopathology severity were also obtained. The TMMS and ASQ subscale scores were compared to available normative data and between PNES subgroups (based on presence of trauma-related factors). Correlation coefficients were obtained to evaluate associations between subscale scores and measures of psychopathology. Results Mean scores on both TMMS subscales (attention 47.0 [SD 7.4] and clarity 37.5 [SD 8.0]) and the ASQ adjusting subscale (22.2 [SD 6.3]) were significantly lower than available normative data (p Conclusions Patients with PNES, especially those with active PTSD and childhood trauma, have lower clarity of their Emotions and lower ability to adjust to Emotional states than healthy individuals. These cognitive-Emotion Processing deficits are more pronounced in patients with more severe depression and reported stress. This study characterizes alterations in cognitive-Emotion Processing in PNES that are well-suited therapeutic targets and can therefore inform treatment interventions.
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Cognitive-Emotion Processing in psychogenic nonepileptic seizures.
Epilepsy & behavior : E&B, 2019Co-Authors: Rachael Rosales, Barbara A. Dworetzky, Gaston BasletAbstract:BACKGROUND Previous literature suggests that cognitive-Emotion Processing contributes to the pathogenesis of psychogenic nonepileptic seizures (PNES). Characterization of alterations in cognitive-Emotion Processing in PNES could inform treatment. METHODS In this descriptive, cross-sectional study, 143 patients with video electroencephalogram (EEG) confirmed PNES were prospectively recruited. Patients completed self-report questionnaires on Emotion perception (Trait Meta-Mood Scale (TMMS) attention and clarity subscales) and coping style (Affective Styles Questionnaire [ASQ] concealing, adjusting, and tolerating subscales) at the time of their initial evaluation for PNES. Demographic, clinical data and measures of psychopathology severity were also obtained. The TMMS and ASQ subscale scores were compared to available normative data and between PNES subgroups (based on presence of trauma-related factors). Correlation coefficients were obtained to evaluate associations between subscale scores and measures of psychopathology. RESULTS Mean scores on both TMMS subscales (attention 47.0 [SD 7.4] and clarity 37.5 [SD 8.0]) and the ASQ adjusting subscale (22.2 [SD 6.3]) were significantly lower than available normative data (p
E.m. Sánchez-morla - One of the best experts on this subject based on the ideXlab platform.
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Emotion Processing and psychosocial functioning in euthymic bipolar disorder
Acta psychiatrica Scandinavica, 2017Co-Authors: Ana Aparicio, José Luis Santos, Estela Jiménez-lópez, A. Bagney, R. Rodriguez-jimenez, E.m. Sánchez-morlaAbstract:Objective To examine Emotion Processing in euthymic bipolar patients (EBP) compared to healthy controls. In addition, to determine whether or not there is an association between Emotion Processing and psychosocial functioning. Material and methods A sample of 60 EBP and 60 healthy controls matched for age, gender, education level, and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test-Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Functional Assessment Short Test (FAST). Results Euthymic bipolar patients obtained lower scores than controls in all MSCEIT measures except for the using Emotions branch. Likewise, EBP obtained a worse performance than healthy controls in all neurocognitive domains. Correlation between MSCEIT strategic area measures and FAST total score was found (r = −0.311; P < 0.016). Regression analysis showed that residual depressive symptomatology explains a 9.1% of the variance in functional outcome. MSCEIT strategic area score explained an additional 8.6%. Neurocognition did not increase the percentage of the variance explained by Emotion Processing. Conclusions Euthymic bipolar patients exhibit deficits in Emotion Processing. Emotion Processing is associated with social functioning in these patients.
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Emotion Processing and psychosocial functioning in euthymic bipolar disorder
Acta psychiatrica Scandinavica, 2017Co-Authors: Ana Aparicio, José Luis Santos, Estela Jiménez-lópez, A. Bagney, R. Rodriguez-jimenez, E.m. Sánchez-morlaAbstract:To examine Emotion Processing in euthymic bipolar patients (EBP) compared to healthy controls. In addition, to determine whether or not there is an association between Emotion Processing and psychosocial functioning. A sample of 60 EBP and 60 healthy controls matched for age, gender, education level, and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test-Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Functional Assessment Short Test (FAST). Euthymic bipolar patients obtained lower scores than controls in all MSCEIT measures except for the using Emotions branch. Likewise, EBP obtained a worse performance than healthy controls in all neurocognitive domains. Correlation between MSCEIT strategic area measures and FAST total score was found (r = -0.311; P < 0.016). Regression analysis showed that residual depressive symptomatology explains a 9.1% of the variance in functional outcome. MSCEIT strategic area score explained an additional 8.6%. Neurocognition did not increase the percentage of the variance explained by Emotion Processing. Euthymic bipolar patients exhibit deficits in Emotion Processing. Emotion Processing is associated with social functioning in these patients. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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Emotion Processing and social functioning in euthymic bipolar disorder
European Psychiatry, 2016Co-Authors: Ana Aparicio, José Luis Santos, E.m. Sánchez-morla, J. MateoAbstract:IntroductionA large number of studies have found that patients with bipolar disorders have a poor performance in tasks assessing social cognition.Objectives and aimsThe present study aimed to investigate whether euthymic bipolar patients (EBP) have a dysfunction in Emotion Processing when compared to controls. An additional objective was to determine whether there is association between Emotion Processing and psychosocial functioning.MethodsA sample of 53 EBP and 53 healthy controls matched for age, gender, education level and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test–Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Global Assessment of Functioning (GAF) scale and the Functional Assessment Short Test (FAST).ResultsFor the MSCEIT, EBP obtained lower total scores (P = 0.001), experiential area scores (P = 0.012), strategic area scores (P = 0.000), perceiving Emotions branch scores (P = 0.008), understanding Emotions branch scores (P = 0.014) and managing Emotions branch scores (P = 0.000) than controls. There were no significant differences between groups for the using Emotions branch (P = 0.113). In addition, partial correlations controlling for sub-clinical psychopathology in EBP showed the existence of a significant correlation of MSCEIT total score and MSCEIT strategic area score with FAST total score.ConclusionsEBP exhibit deficits in several areas of Emotion Processing. Performance in Emotion Processing tasks is associated with social functioning in these patients.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Emotion Processing and social functioning in euthymic bipolar disorder
European Psychiatry, 2016Co-Authors: Ana Aparicio, José Luis Santos, E.m. Sánchez-morla, J. MateoAbstract:Introduction A large number of studies have found that patients with bipolar disorders have a poor performance in tasks assessing social cognition. Objectives and aims The present study aimed to investigate whether euthymic bipolar patients (EBP) have a dysfunction in Emotion Processing when compared to controls. An additional objective was to determine whether there is association between Emotion Processing and psychosocial functioning. Methods A sample of 53 EBP and 53 healthy controls matched for age, gender, education level and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test–Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Global Assessment of Functioning (GAF) scale and the Functional Assessment Short Test (FAST). Results For the MSCEIT, EBP obtained lower total scores (P = 0.001), experiential area scores (P = 0.012), strategic area scores (P = 0.000), perceiving Emotions branch scores (P = 0.008), understanding Emotions branch scores (P = 0.014) and managing Emotions branch scores (P = 0.000) than controls. There were no significant differences between groups for the using Emotions branch (P = 0.113). In addition, partial correlations controlling for sub-clinical psychopathology in EBP showed the existence of a significant correlation of MSCEIT total score and MSCEIT strategic area score with FAST total score. Conclusions EBP exhibit deficits in several areas of Emotion Processing. Performance in Emotion Processing tasks is associated with social functioning in these patients.
Ana Aparicio - One of the best experts on this subject based on the ideXlab platform.
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Emotion Processing and psychosocial functioning in euthymic bipolar disorder
Acta psychiatrica Scandinavica, 2017Co-Authors: Ana Aparicio, José Luis Santos, Estela Jiménez-lópez, A. Bagney, R. Rodriguez-jimenez, E.m. Sánchez-morlaAbstract:Objective To examine Emotion Processing in euthymic bipolar patients (EBP) compared to healthy controls. In addition, to determine whether or not there is an association between Emotion Processing and psychosocial functioning. Material and methods A sample of 60 EBP and 60 healthy controls matched for age, gender, education level, and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test-Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Functional Assessment Short Test (FAST). Results Euthymic bipolar patients obtained lower scores than controls in all MSCEIT measures except for the using Emotions branch. Likewise, EBP obtained a worse performance than healthy controls in all neurocognitive domains. Correlation between MSCEIT strategic area measures and FAST total score was found (r = −0.311; P < 0.016). Regression analysis showed that residual depressive symptomatology explains a 9.1% of the variance in functional outcome. MSCEIT strategic area score explained an additional 8.6%. Neurocognition did not increase the percentage of the variance explained by Emotion Processing. Conclusions Euthymic bipolar patients exhibit deficits in Emotion Processing. Emotion Processing is associated with social functioning in these patients.
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Emotion Processing and psychosocial functioning in euthymic bipolar disorder
Acta psychiatrica Scandinavica, 2017Co-Authors: Ana Aparicio, José Luis Santos, Estela Jiménez-lópez, A. Bagney, R. Rodriguez-jimenez, E.m. Sánchez-morlaAbstract:To examine Emotion Processing in euthymic bipolar patients (EBP) compared to healthy controls. In addition, to determine whether or not there is an association between Emotion Processing and psychosocial functioning. A sample of 60 EBP and 60 healthy controls matched for age, gender, education level, and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test-Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Functional Assessment Short Test (FAST). Euthymic bipolar patients obtained lower scores than controls in all MSCEIT measures except for the using Emotions branch. Likewise, EBP obtained a worse performance than healthy controls in all neurocognitive domains. Correlation between MSCEIT strategic area measures and FAST total score was found (r = -0.311; P < 0.016). Regression analysis showed that residual depressive symptomatology explains a 9.1% of the variance in functional outcome. MSCEIT strategic area score explained an additional 8.6%. Neurocognition did not increase the percentage of the variance explained by Emotion Processing. Euthymic bipolar patients exhibit deficits in Emotion Processing. Emotion Processing is associated with social functioning in these patients. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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Emotion Processing and social functioning in euthymic bipolar disorder
European Psychiatry, 2016Co-Authors: Ana Aparicio, José Luis Santos, E.m. Sánchez-morla, J. MateoAbstract:IntroductionA large number of studies have found that patients with bipolar disorders have a poor performance in tasks assessing social cognition.Objectives and aimsThe present study aimed to investigate whether euthymic bipolar patients (EBP) have a dysfunction in Emotion Processing when compared to controls. An additional objective was to determine whether there is association between Emotion Processing and psychosocial functioning.MethodsA sample of 53 EBP and 53 healthy controls matched for age, gender, education level and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test–Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Global Assessment of Functioning (GAF) scale and the Functional Assessment Short Test (FAST).ResultsFor the MSCEIT, EBP obtained lower total scores (P = 0.001), experiential area scores (P = 0.012), strategic area scores (P = 0.000), perceiving Emotions branch scores (P = 0.008), understanding Emotions branch scores (P = 0.014) and managing Emotions branch scores (P = 0.000) than controls. There were no significant differences between groups for the using Emotions branch (P = 0.113). In addition, partial correlations controlling for sub-clinical psychopathology in EBP showed the existence of a significant correlation of MSCEIT total score and MSCEIT strategic area score with FAST total score.ConclusionsEBP exhibit deficits in several areas of Emotion Processing. Performance in Emotion Processing tasks is associated with social functioning in these patients.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Emotion Processing and social functioning in euthymic bipolar disorder
European Psychiatry, 2016Co-Authors: Ana Aparicio, José Luis Santos, E.m. Sánchez-morla, J. MateoAbstract:Introduction A large number of studies have found that patients with bipolar disorders have a poor performance in tasks assessing social cognition. Objectives and aims The present study aimed to investigate whether euthymic bipolar patients (EBP) have a dysfunction in Emotion Processing when compared to controls. An additional objective was to determine whether there is association between Emotion Processing and psychosocial functioning. Methods A sample of 53 EBP and 53 healthy controls matched for age, gender, education level and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test–Part B and the Stroop Test. Emotion Processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Global Assessment of Functioning (GAF) scale and the Functional Assessment Short Test (FAST). Results For the MSCEIT, EBP obtained lower total scores (P = 0.001), experiential area scores (P = 0.012), strategic area scores (P = 0.000), perceiving Emotions branch scores (P = 0.008), understanding Emotions branch scores (P = 0.014) and managing Emotions branch scores (P = 0.000) than controls. There were no significant differences between groups for the using Emotions branch (P = 0.113). In addition, partial correlations controlling for sub-clinical psychopathology in EBP showed the existence of a significant correlation of MSCEIT total score and MSCEIT strategic area score with FAST total score. Conclusions EBP exhibit deficits in several areas of Emotion Processing. Performance in Emotion Processing tasks is associated with social functioning in these patients.