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Graph-theoretical insights into the effects of aging on the speech production network. | LitMetric

Graph-theoretical insights into the effects of aging on the speech production network.

Cereb Cortex

Department of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Heiligengeisthöfe 4, 26121 Oldenburg, Germany.

Published: February 2023

AI Article Synopsis

  • Speech production involves various brain regions, and this study looks at how healthy aging affects speech processing between young and elderly individuals.
  • Researchers compared functional connectivity in 23 young adults and 23 elderly adults using fMRI while performing a picture naming task, assessing both neutral and emotional conditions.
  • The results indicated that while elderly individuals show a more modularized and functionally segregated network, they maintain stable key regions for speech production, and they are better at managing emotional distractions compared to younger adults.

Article Abstract

Speech production relies on the interplay of different brain regions. Healthy aging leads to complex changes in speech processing and production. Here, we investigated how the whole-brain functional connectivity of healthy elderly individuals differs from that of young individuals. In total, 23 young (aged 24.6 ± 2.2 years) and 23 elderly (aged 64.1 ± 6.5 years) individuals performed a picture naming task during functional magnetic resonance imaging. We determined whole-brain functional connectivity matrices and used them to compute group averaged speech production networks. By including an emotionally neutral and an emotionally charged condition in the task, we characterized the speech production network during normal and emotionally challenged processing. Our data suggest that the speech production network of elderly healthy individuals is as efficient as that of young participants, but that it is more functionally segregated and more modularized. By determining key network regions, we showed that although complex network changes take place during healthy aging, the most important network regions remain stable. Furthermore, emotional distraction had a larger influence on the young group's network than on the elderly's. We demonstrated that, from the neural network perspective, elderly individuals have a higher capacity for emotion regulation based on their age-related network re-organization.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977355PMC
http://dx.doi.org/10.1093/cercor/bhac198DOI Listing

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