Lifespan oscillatory dynamics in lexical production: A population-based MEG resting-state analysis
Lexical production performances have been associated with cognitive control demands increase with age to support efficient semantic access, thus suggesting an interplay between a domain-general and a language-specific component. Current neurocognitive models suggest the Default Mode Network (DMN) and Fronto-Parietal Network (FPN) connectivity may drive this interplay, impacting the trajectory of production performance with a pivotal shift around midlife. However, the corresponding time-varying architecture still needs clarification. Here, we leveraged MEG resting-state data from healthy adults aged 18-88 years from a CamCAN population-based sample. We found that DMN-FPN dynamics shift from anterior-ventral to posterior-dorsal states until midlife to mitigate word-finding challenges, concurrent with heightened alpha-band oscillations. Specifically, sensorimotor integration along this posterior path could facilitate cross-talk with lower-level circuitry as dynamic information flow with more anterior, higher-order cognitive states gets compromised. This suggests a bottom-up, exploitation-based form of cognitive control in the aging brain, highlighting the interplay between abstraction, control, and perceptive-motor systems in preserving lexical production.
Authors
- Martial Mermillod (ORCID: https://orcid.org/0000-0003-4367-7049)
- Sophie Achard (ORCID: https://orcid.org/0000-0001-9448-1199)
- Clément Guichet (ORCID: https://orcid.org/0000-0002-2938-8753)
- Monica Baciu (ORCID: https://orcid.org/0000-0002-6842-1317)
- Sylvain Harquel (ORCID: https://orcid.org/0000-0001-8756-2230)
Institutions
- Institut polytechnique de Grenoble (FR)
- Centre National de la Recherche Scientifique (FR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Centre Hospitalier Universitaire de Grenoble (FR)
- Laboratoire Jean Kuntzmann (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Imaging Neuroscience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1162/imag_a_00551
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Agence Nationale de la Recherche
- Centre National de la Recherche Scientifique
- Directorate for Biological Sciences