Evidence map›Paper›PMID 39283659›Full record

ArticleJMIR aging2024

Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study.

Varsha D Badal, Jenna M Reinen, Elizabeth W Twamley, Ellen E Lee, Robert P Fellows, Erhan Bilal, Colin A Depp

Abstract read
In one paragraph

Article in JMIR aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

7 authors.

Varsha D BadalDepartment of Psychiatry, University of California San Diego, San Diego, CA, United States.ORCID 0000-0001-7281-9136
Jenna M ReinenIBM Research, Yorktown Heights, NY, United States.ORCID 0000-0001-5822-585X
Elizabeth W TwamleyDepartment of Psychiatry, University of California San Diego, San Diego, CA, United States.ORCID 0000-0002-8693-8782
Ellen E LeeDepartment of Psychiatry, University of California San Diego, San Diego, CA, United States.ORCID 0000-0002-2250-765X
Robert P FellowsDepartment of Psychiatry, University of California San Diego, San Diego, CA, United States.ORCID 0000-0002-9322-4550
Erhan BilalIBM Research, Yorktown Heights, NY, United States.ORCID 0009-0002-0778-6635
Colin A DeppDepartment of Psychiatry, University of California San Diego, San Diego, CA, United States.ORCID 0000-0002-1841-6229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbout one-third of older adults aged 65 years and older often have mild cognitive impairment or dementia. Acoustic and psycho-linguistic features derived from conversation may be of great diagnostic value because speech involves verbal memory and cognitive and neuromuscular processes. The relative decline in these processes, however, may not be linear and remains understudied.

objectiveThis study aims to establish associations between cognitive abilities and various attributes of speech and natural language production. To date, the majority of research has been cross-sectional, relying mostly on data from structured interactions and restricted to textual versus acoustic analyses.

methodsIn a sample of 71 older (mean age 83.3, SD 7.0 years) community-dwelling adults who completed qualitative interviews and cognitive testing, we investigated the performance of both acoustic and psycholinguistic features associated with cognitive deficits contemporaneously and at a 1-2 years follow up (mean follow-up time 512.3, SD 84.5 days).

resultsCombined acoustic and psycholinguistic features achieved high performance (F

conclusionsThese results suggest that both acoustic and psycholinguistic features extracted from qualitative interviews may be reliable markers of cognitive deficits in late life.

Indexed as

Cognitive DysfunctionPsycholinguisticsAgedAged, 80 and overFemaleHumansMaleNeuropsychological TestsacousticAIalgorithmalgorithmsAlzheimerartificial intelligenceCIcognitive disabilitycognitive impairmentcognitive limitationcognitive restrictiondementiaearly detectionearly warningmachine learningMCImild cognitive impairmentMLnatural language processingneurocognitionneurocognitive disorderneurological declineNLPpractical modelpractical modelspredictive analyticspredictive modelpredictive modelspredictive systempsycholinguisticspeechspeech markerspeech markers

Identifiers

PMID39283659
PMCPMC11443203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.