Evidence map›Paper›PMID 38721025›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Vocal expression of emotions discriminates dementia with Lewy bodies from Alzheimer's disease.

Masatomo Kobayashi, Yasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Masatomo KobayashiDigital Health IBM Research Chuo Tokyo Japan.ORCID https://orcid.org/0000-0002-4397-8557
Yasunori YamadaDigital Health IBM Research Chuo Tokyo Japan.
Kaoru ShinkawaDigital Health IBM Research Chuo Tokyo Japan.
Miyuki NemotoDepartment of Psychiatry Division of Clinical Medicine Institute of Medicine University of Tsukuba Tsukuba Ibaraki Japan.
Miho OtaDepartment of Psychiatry Division of Clinical Medicine Institute of Medicine University of Tsukuba Tsukuba Ibaraki Japan.
Kiyotaka NemotoDepartment of Psychiatry Division of Clinical Medicine Institute of Medicine University of Tsukuba Tsukuba Ibaraki Japan.
Tetsuaki AraiDepartment of Psychiatry Division of Clinical Medicine Institute of Medicine University of Tsukuba Tsukuba Ibaraki Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), the two most common neurodegenerative dementias, both exhibit altered emotional processing. However, how vocal emotional expressions alter in and differ between DLB and AD remains uninvestigated. We collected voice data during story reading from 152 older adults comprising DLB, AD, and cognitively unimpaired (CU) groups and compared their emotional prosody in terms of valence and arousal dimensions. Compared with matched AD and CU participants, DLB patients showed reduced overall emotional expressiveness, as well as lower valence (more negative) and lower arousal (calmer), the extent of which was associated with cognitive impairment and insular atrophy. Classification models using vocal features discriminated DLB from AD and CU with an AUC of 0.83 and 0.78, respectively. Our findings may aid in discriminating DLB patients from AD and CU individuals, serving as a surrogate marker for clinical and neuropathological changes in DLB. Highlights: DLB showed distinctive reduction in vocal expression of emotions.Cognitive impairment was associated with reduced vocal emotional expression in DLB.Insular atrophy was associated with reduced vocal emotional expression in DLB.Emotional expression measures successfully differentiated DLB from AD or controls.

Indexed as

affective prosodyarousaldigital healthemotional processingLewy body dementiamachine learningvalence

Identifiers

PMID38721025
PMCPMC11078022

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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 OpenQuestion graph.