Emotional Face Recognition in Bipolar Disorder

Abstract

IntroductionEmotional face recognition is significant for social communication. This is impaired in mood disorders, such as bipolar disorder. Individuals with bipolar disorder lack the ability to perceive facial expressions.ObjectivesTo analyse the capacity of emotional face recognition in subjects diagnosed with bipolar disorder.AimsTo establish a correlation between emotion recognition ability and the evolution of bipolar disease.MethodsA sample of 24 subjects were analysed in this trial, diagnosed with bipolar disorder (according to ICD-10 criteria), who were hospitalised in the Psychiatry Clinic of Timisoara and monitored in outpatients clinic. Subjects were introduced in the trial based on inclusion/exclusion criteria. The analysed parameters were: socio-demographic (age, gender, education level), the number of relapses, the predominance of manic or depressive episodes, and the ability of identifying emotions (Reading the Mind in the Eyes Test).ResultsMost of the subjects (79.16%) had a low ability to identify emotions, 20.83% had a normal capacity to recognise emotions, and none of them had a high emotion recognition capacity. The positive emotions (love, joy, surprise) were easier recognised, by 75% of the subjects, than the negative ones (anger, sadness, fear). There was no evident difference in emotional face recognition between the individuals with predominance of manic episodes than the ones who had mostly depressive episodes, and between the number of relapses.ConclusionsThe individuals with bipolar disorder have difficulties in identifying facial emotions, but with no obvious correlation between the analysed parameters.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Protocol for Magnetic Resonance Imaging Acquisition, Quality Assurance, and Quality Check for the Accelerator Program for Discovery in Brain Disorders using Stem Cells

“…Abnormalities in emotion recognition (Castellano et al, 2015;Daros, Zakzanis, & Rector, 2014;Elferink, van, & Kessels, 2015;Homorogan et al, 2017;Kohler, Walker, Martin, Healey, & Moberg, 2010) and verbal fluency (Cardenas, Kassem, Brotman, Leibenluft, & McMahon, 2016;Clark et al, 2009;Clarke et al, 2016;Liang et al, 2016;Snyder, Kaiser, Warren, & Heller, 2015;Weiner et al, 2015) have been reported in all the disorders being studied in this project. We use tasks that were previously developed at NIMHANS for tb-fMRI acquistions: Tool for Recognition of Emotions in Neuropsychiatric Disorders (TRENDS) (Behere et al, 2008), which is a standardized validated tool for studying emotion recognition deficits in Indian patients, and Verbal Fluency Task (VFT) , which is a semantic category overt word generation task that is implemented as a blocked design.…”

Protocol for magnetic resonance imaging acquisition, quality assurance, and quality check for the Accelerator program for Discovery in Brain disorders using Stem cells

“…Abnormalities in emotion recognition (Castellano et al, 2015;Daros et al, 2014;Elferink et al, 2015;Homorogan et al, 2017;Kohler et al, 2010) and verbal fluency (Cardenas et al, 2016;Clark et al, 2009Clark et al, , 2016Liang et al, 2016;Snyder et al, 2015;Weiner et al, 2015) have been reported in all the disorders being studied in this project. We use tasks that were previously developed at NIMHANS for tb-fMRI acquisitions: TRENDS (Behere et al, 2008), which is a standardized validated tool for studying emotion recognition deficits in the Indian context, and VFT (John et al, 2011), which is a semantic category overt word generation task that is implemented as a blocked design.…”