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Updated: Jun 18, 2025
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Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
Published on: April 26, 2024
652
Speech markers of depression dimensions across cognitive status
Laili Soleimani1, Yuxia Ouyang1, Sunghye Cho2
1Icahn School of Medicine at Mount Sinai New York New York USA.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|August 2, 2024
Summary
Speech biomarkers can help quantify depression dimensions, aiding in dementia prediction. Higher apathy scores correlated with negative word use, and dysphoria showed a trend with negative valence in APOE4 carriers.
Area of Science:
- Geriatric Psychiatry
- Computational Linguistics
- Neuroscience
Background:
- Depression significantly impacts dementia prediction and severity.
- Objective measures are needed to quantify depression's components.
- Speech analysis offers a potential avenue for objective assessment.
Purpose of the Study:
- To investigate the association between emotion-based speech measures and depression dimensions.
- To explore the role of apolipoprotein E (APOE) 4 status in these associations.
Main Methods:
- Speech samples were collected during picture descriptions.
- Emotion-based speech measures (valence, arousal, dominance) were analyzed.
- Depression dimensions were assessed using the Geriatric Depression Scale (GDS).
Main Results:
- Higher withdrawal-apathy-vigor (WAV) was linked to more negative valence (p=0.030).
- A trend showed more negative valence with higher dysphoria in APOE4 carriers (p=0.0846).
- Associations remained consistent regardless of dementia severity.
Conclusions:
- Speech biomarkers show promise for characterizing depression dimensions.
- Emotionally charged stimuli may improve future speech-based emotion elicitation.
- Further research with larger sample sizes is needed to explore APOE's role.
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