Dataset Information

Speech markers of depression dimensions across cognitive status.

ABSTRACT: Depression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification. We investigated associations between emotion-based speech measures (valence, arousal, and dominance) during picture descriptions and depression dimensions derived from the geriatric depression scale (GDS, dysphoria, withdrawal-apathy-vigor (WAV), anxiety, hopelessness, and subjective memory complaint). Higher WAV was associated with more negative valence (estimate = -0.133, p = 0.030). While interactions of apolipoprotein E (APOE) 4 status with depression dimensions on emotional valence did not reach significance, there was a trend for more negative valence with higher dysphoria in those with at least one APOE4 allele (estimate = -0.404, p = 0.0846). Associations were similar irrespective of dementia severity. Our study underscores the potential utility of speech biomarkers in characterizing depression dimensions. In future research, using emotionally charged stimuli may enhance emotional measure elicitation. The role of APOE on the interaction of speech markers and depression dimensions warrants further exploration with greater sample sizes. Participants reporting higher apathy used more negative words to describe a neutral picture.Those with higher dysphoria and at least one APOE4 allele also tended to use more negative words.Our results suggest the potential use of speech biomarkers in characterizing depression dimensions.

SUBMITTER: Soleimani L

PROVIDER: S-EPMC11292393 | biostudies-literature | 2024 Jul-Sep

REPOSITORIES: biostudies-literature

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Speech markers of depression dimensions across cognitive status.

Soleimani Laili L Ouyang Yuxia Y Cho Sunghye S Kia Arash A Beeri Michal Schnaider MS Lin Hung-Mo HM Ravona-Springer Ramit R Ramsingh Nadia N Liberman Mark Y MY Grossman Murray M Nevler Naomi N

Alzheimer's & dementia (Amsterdam, Netherlands) 20240701 3

<h4>Introduction</h4>Depression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification.<h4>Methods</h4>We investigated associations between emotion-based speech measures (valence, arousal, and dominance) during picture descriptions and depression dimensions derived from the geriatric depression scale (GDS, dysphoria, withdrawal-apathy-vigor (WAV), anxiety, hopelessness, and subjective memory complaint).<h4>Results</h ...[more]

PMID: 39092182

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Dataset Information

Speech markers of depression dimensions across cognitive status.

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Speech markers of depression dimensions across cognitive status.

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