Speech markers of depression dimensions across cognitive status

Author:

Soleimani Laili1,Ouyang Yuxia1,Cho Sunghye2,Kia Arash1,Beeri Michal Schnaider3,Lin Hung‐Mo4,Ravona‐Springer Ramit56,Ramsingh Nadia1,Liberman Mark Y2,Grossman Murray7,Nevler Naomi7

Affiliation:

1. Icahn School of Medicine at Mount Sinai New York New York USA

2. Linguistic Data Consortium University of Pennsylvania Philadelphia Pennsylvania USA

3. Rutgers Robert Wood Johnson Medical School New Brunswick New Jersey USA

4. Department of Anesthesiology Yale School of Medicine New Haven Connecticut USA

5. The Joseph Sagol Neuroscience Center Sheba Medical Center Tel‐Hashomer Israel

6. Sackler Faculty of Medicine Tel Aviv University Tel Aviv Israel

7. Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

Abstract

AbstractIntroductionDepression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification.MethodsWe 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).ResultsHigher 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.DiscussionOur 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.Highlights 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.

Funder

U.S. Department of Defense

National Institute on Aging

Alzheimer's Association

Publisher

Wiley

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