Abstract
Listening in everyday life requires attention to be deployed dynamically – when listening is expected to be difficult and when relevant information is expected to occur – to conserve mental resources. Conserving mental resources may be particularly important for older adults who often experience difficulties understanding speech. In the current study, we use electro- and magnetoencephalography to investigate the neural and behavioral mechanics of attention regulation during listening and the effects that aging has on these. We first show in younger adults (17–31 years) that neural alpha oscillatory activity indicates when in time attention is deployed (Experiment 1) and that deployment depends on listening difficulty (Experiment 2). Experiment 3 investigated age-related changes in auditory attention regulation. Middle-aged and older adults (54–72 years) show successful attention regulation but appear to utilize timing information differently compared to younger adults (20–33 years). We show a notable age-group dissociation in recruited brain regions. In younger adults, superior parietal cortex underlies alpha power during attention regulation, whereas, in middle-aged and older adults, alpha power emerges from more ventro-lateral areas (posterior temporal cortex). This difference in the sources of alpha activity between age groups only occurred during task performance and was absent during rest (Experiment S1). In sum, our study suggests that middle-aged and older adults employ different neural control strategies compared to younger adults to regulate attention in time under listening challenges.
| Original language | English |
|---|---|
| Article number | 119883 |
| Journal | NeuroImage |
| Volume | 268 |
| ISSN | 1053-8119 |
| DOIs | |
| Publication status | Published - 03.2023 |
Funding
Research was supported by the Canadian Institutes of Health Research (MOP133450 to I.S. Johnsrude), the Natural Sciences and Engineering Research Council of Canada (RGPIN-2021–02602 to BH), and the German Research Foundation (Deutsche Forschungsgesellschaft; DFG; HE 7857/1–1 to BH/JO). BH was supported by a BrainsCAN Tier I postdoctoral fellowship (Canada First Research Excellence Fund; CFREF) and the Canada Research Chairs Program (232733). We thank the Max Planck Institute for Human Cognitive and Brain Sciences for the opportunity to record the MEG data and Yvonne Wolff-Rosier for help during data acquisition. Research was supported by the Canadian Institutes of Health Research (MOP133450 to I.S. Johnsrude), the Natural Sciences and Engineering Research Council of Canada (RGPIN-2021–02602 to BH), and the German Research Foundation (Deutsche Forschungsgesellschaft; DFG; HE 7857/1–1 to BH/JO). BH was supported by a BrainsCAN Tier I postdoctoral fellowship (Canada First Research Excellence Fund; CFREF) and the Canada Research Chairs Program (232733). We thank the Max Planck Institute for Human Cognitive and Brain Sciences for the opportunity to record the MEG data and Yvonne Wolff-Rosier for help during data acquisition.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 5 Gender Equality
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SDG 10 Reduced Inequalities
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
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