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RESEARCH PAPER / 2026-01-08

Linguistic information compensates for age-related decline in attentional filtering

Barchet, A. V., Bruera, A., Rimmele, J. M., Obleser, J., Hartwigsen, G.

Max Planck Institute for Human Cognitive and Brain SciencesMax Planck Institute for Human Cognitive and Brain Sciences · biorxiv

Abstract

As we age, understanding speech in social situations imposes an increasingly difficult challenge to the auditory system. However, the attentional mechanisms underlying age-related speech comprehension difficulties in multitalker situations remain unclear. We collected EEG signals while 63 normal hearing participants from 19 to 71 years performed a speech comprehension task involving a multitalker paradigm at individually adjusted target-to-distractor ratios. Combining trial-resolved multivariate temporal response function modeling with detailed behavioral comprehension responses, we provide a window into lower-level impairments and higher-level compensatory mechanisms across the adult life span. Neuro-behavioral correlations on a trial-by-trial level provide direct evidence for increased distractor representation underlying reduced behavioral performance in late adulthood. This points towards increased distractability as a potential mechanism underlying age-related speech comprehension deficits. Additionally, at the behavioral and neural levels, we show that older adults relied more on higher-level linguistic information. Finally, we show that an increased reliance on linguistic information may serve as a compensatory mechanism that supports comprehension performance across the adult life span. Summarizing, combining behavioral and neural data, we directly show that an increased reliance on linguistic processing can offset age-related impairments in attentional filtering.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

Increased reliance on linguistic information can offset age-related impairments in attentional filtering. The paper explores mechanisms that may help mitigate age-related cognitive decline, which is pertinent to understanding and potentially improving aspects of aging.

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