9 research outputs found
Detecting depression in dyadic conversations with multimodal narratives and visualizations
Conversations contain a wide spectrum of multimodal information that gives us
hints about the emotions and moods of the speaker. In this paper, we developed
a system that supports humans to analyze conversations. Our main contribution
is the identification of appropriate multimodal features and the integration of
such features into verbatim conversation transcripts. We demonstrate the
ability of our system to take in a wide range of multimodal information and
automatically generated a prediction score for the depression state of the
individual. Our experiments showed that this approach yielded better
performance than the baseline model. Furthermore, the multimodal narrative
approach makes it easy to integrate learnings from other disciplines, such as
conversational analysis and psychology. Lastly, this interdisciplinary and
automated approach is a step towards emulating how practitioners record the
course of treatment as well as emulating how conversational analysts have been
analyzing conversations by hand.Comment: 12 page
Actigraphic Assessment of Motor Activity in Acutely Admitted Inpatients with Bipolar Disorder
Mutations in the Drosophila homolog of human PLA2G6 give rise to age-dependent loss of psychomotor activity and neurodegeneration
Changes in depression subtypes for women during treatment with citalopram: a latent transition analysis
Cortical thickness and emotion processing in young adults with mild to moderate depression: a preliminary study
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Mapping the physiological and molecular markers of stress and SSRI antidepressant treatment in S100a10 corticostriatal neurons
In mood disorders, psychomotor and sensory abnormalities are prevalent, disabling, and intertwined with emotional and cognitive symptoms. Corticostriatal neurons in motor and somatosensory cortex are implicated in these symptoms, yet mechanisms of their vulnerability are unknown. Here, we demonstrate that S100a10 corticostriatal neurons exhibit distinct serotonin responses and have increased excitability, compared with S100a10-negative neurons. We reveal that prolonged social isolation disrupts the specific serotonin response which gets restored by chronic antidepressant treatment. We identify cell-type-specific transcriptional signatures in S100a10 neurons that contribute to serotonin responses and strongly associate with psychomotor and somatosensory function. Our studies provide a strong framework to understand the pathogenesis and create new avenues for the treatment of mood disorders