ABSTRACT
Background: There is a limited number of studies from India investigating the role of transcranial direct current stimulation (tDCS) in treatment-resistant depression (TRD). This clinic-based study reports on the effectiveness of tDCS as an add-on treatment in individuals suffering from TRD. Materials and Methods: Twenty-six right-handed individuals suffering from major depressive disorder who failed to respond to adequate trials of at least two antidepressant drugs in the current episode received tDCS as an augmenting treatment. Twice daily sessions of conventional tDCS were given providing anodal stimulation at the left dorsolateral prefrontal cortex (DLPFC) and cathodal placement at the right DLPFC. A total of 20 sessions were given over 2 weeks. The outcome was assessed based on changes in scores of the Hamilton Rating Scale for Depression (HAMD) and Montgomery-Asberg Depression Rating Scale (MADRS). Results: There was a significant reduction in outcome assessment after tDCS intervention as compared to baseline, with more than 50% of the participants showing response in both scales, which increased further to approximately 77% by the end of 1 month of the follow-up period. Conclusion: Twice daily tDCS sessions with anodal stimulation of left DLPFC and cathodal stimulation of right DLPFC is an effective add-on treatment strategy in individuals with TRD.
ABSTRACT
Introduction: Emotion recognition plays a crucial role in our social interactions and overall well-being. The present cross-sectional study aimed to develop and validate Emotion Laden Sentences Toolbox for Emotion Recognition (ELSTER), that utilizes emotion-laden sentences as stimuli to assess individuals' ability to perceive and identify emotions conveyed through written language. Methods: In Phase I, a comprehensive set of emotion-laden sentences in English language were validated by 25 (eight males and 17 females) qualified mental health professionals (MHPs). In Phase II, the sentences that received high interrater agreement in Phase I were selected and then a Hindi version of the same sentences was also developed. The English and Hindi database was then validated among 50 healthy individuals (30 males and 20 females). Results: The percentage hit rate for all the emotions after exclusion of contempt was 84.3% with a mean kappa for emotional expression being 0.67 among MHPs. The percentage hit rate of all emotion-laden sentences across the database was 81.43% among healthy lay individuals. The mean hit rate percentage for English sentences was similar to Hindi sentences with a mean kappa for emotional expression being 0.63 for the combined English and Hindi sentences. Conclusion: The ELSTER database would be useful in the Indian context for researching textual emotion recognition. It has been validated among a group of experts as well as healthy lay individuals and was found to have high inter-rater reliability.