Evidence map›Paper›PMID 39092182›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Speech markers of depression dimensions across cognitive status.

Laili Soleimani, Yuxia Ouyang, Sunghye Cho, Arash Kia, Michal Schnaider Beeri, Hung-Mo Lin, Ramit Ravona-Springer, Nadia Ramsingh, Mark Y Liberman, Murray Grossman and 1 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Laili SoleimaniIcahn School of Medicine at Mount Sinai New York New York USA.
Yuxia OuyangIcahn School of Medicine at Mount Sinai New York New York USA.
Sunghye ChoLinguistic Data Consortium University of Pennsylvania Philadelphia Pennsylvania USA.
Arash KiaIcahn School of Medicine at Mount Sinai New York New York USA.
Michal Schnaider BeeriRutgers Robert Wood Johnson Medical School New Brunswick New Jersey USA.
Hung-Mo LinDepartment of Anesthesiology Yale School of Medicine New Haven Connecticut USA.
Ramit Ravona-SpringerThe Joseph Sagol Neuroscience Center Sheba Medical Center Tel-Hashomer Israel.
Nadia RamsinghIcahn School of Medicine at Mount Sinai New York New York USA.
Mark Y LibermanLinguistic Data Consortium University of Pennsylvania Philadelphia Pennsylvania USA.
Murray GrossmanPerelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Naomi NevlerPerelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Mary Sano · 2020 to 2026
$31.0M
Digital biomarkers in narrative and conversational speech in Frontotemporal DementiaK99AG073510 · NIA · UNIVERSITY OF PENNSYLVANIA · PI NEVLER, NAOMI · 2021 to 2022
$259k
NCATS NIH HHS UL1 TR001863NIA NIH HHS K99 AG073510NIA NIH HHS P30 AG066514
6 · The paper itself

Abstract

Introduction: Depression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification. Methods: 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). Results: Higher WAV was associated with more negative valence (estimate = -0.133, Discussion: 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. 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.

Indexed as

apathycognitive declinedementiadepressionneuropsychiatric symptomsspeech

Identifiers

PMID39092182
PMCPMC11292393

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.