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Record W4395111867 · doi:10.1523/eneuro.0545-23.2024

Auditory encoding of natural speech at subcortical and cortical levels is not indicative of cognitive decline

2024· article· en· W4395111867 on OpenAlexaboutno aff
Elena Bolt, Nathalie Giroud

Bibliographic record

VenueeNeuro · 2024
Typearticle
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsnot available
FundersInternational Max Planck Research School for Advanced Methods in Process and Systems EngineeringInternational Max Planck Research School for Environmental, Cellular and Molecular MicrobiologySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsCognitive declineCognitionAudiologyPsychologyDementiaElectroencephalographyNeural correlates of consciousnessEffects of sleep deprivation on cognitive performanceNeuroscienceMedicineDisease

Abstract

fetched live from OpenAlex

More and more patients worldwide are diagnosed with dementia, which emphasizes the urgent need for early detection markers. In this study, we built on the auditory hypersensitivity theory of a previous study—which postulated that responses to auditory input in the subcortex as well as cortex are enhanced in cognitive decline—, and examined auditory encoding of natural continuous speech at both neural levels for its indicative potential for cognitive decline. We recruited study participants aged 60 years and older, who were divided into two groups based on the Montreal Cognitive Assessment, one group with low scores (n = 19, participants with signs of cognitive decline), and a control group (n = 25). Participants completed an audiometric assessment and then we recorded their electroencephalography while they listened to an audiobook and click sounds. We derived Temporal Response Functions and evoked potentials from the data and examined response amplitudes for their potential to predict cognitive decline, controlling for age and hearing loss. Contrary to our expectations, no evidence of auditory hypersensitivity was observed in participants with signs of cognitive decline; response amplitudes were comparable in both cognitive groups. Moreover, the combination of response amplitudes showed no predictive value for cognitive decline. These results challenge the proposed hypothesis and emphasize the need for further research to identify reliable auditory markers for the early detection of cognitive decline. Significance statement Research on cognitive decline needs more studies uncovering markers for subtle neural changes in the pre-dementia stage. Neural markers for auditory processing have a potential that has not been widely explored in studies. Here, for the first time, we used natural, continuously spoken language to examine neural processing in two groups of older adults with and without cognitive decline. We quantified how well the brain tracks speech not only at the cortical but also at the subcortical level. In contrast to previous research suggesting that subcortical and cortical auditory responses are enhanced in cognitive decline, we found no group differences. We believe that this study represents an important contribution to the search for markers of cognitive health in old age.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.388
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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