Executive Summary : | Socio-communication deficits are a significant concern in individuals with unipolar depression, bipolar depression, and schizophrenia, as they impair daily communication and contribute to mental health issues like psychosis or depression. However, there is a lack of information on language measures sensitive to distinguish these conditions. Clinical practice often lacks detailed examination of language disturbances due to patient's disturbed verbal communication, other core mental illness symptoms, and the absence of appropriate language tools. This study aims to explore linguistic biomarkers in individuals with unipolar depression, bipolar depression, and schizophrenia, delineating their language profile, identifying key diagnostic linguistic markers, and developing a language assessment protocol to differentiate between these conditions. Using a cross-sectional observational study design, language analysis will be conducted on Kannada speaking individuals diagnosed with unipolar depression, bipolar depression, and schizophrenia, and healthy age-, gender-, and education-matched control participants. Audio recordings of language samples during discourse production, reading, narration, verbal fluency, repetition, and naming tasks will be recorded for offline analysis. The study protocol will be pilot tested on ten samples from each study population for further refinement. The findings can serve as an indicator for possible areas of speech-language-based intervention in early phases of the condition from a socio-communication perspective. |
Equipments : | Computer-1, Digital Audio Recorder-1, Software for Language Analysis-1 ( Rs.137118.00 ) , Computer-1, Digital Audio Recorder-1, Software for Language Analysis-1 ( Rs.0.00 ) , Computer-1, Digital Audio Recorder-1, Software for Language Analysis-1 ( Rs.0.00 ) |