Improving Working Memory in Older Adults by Restoring Large-Scale Cortical Interactions

通过恢复大规模皮层相互作用来改善老年人的工作记忆

基本信息

项目摘要

PROJECT SUMMARY/ABSTRACT Over the last century, we have witnessed an astonishing rise in the prevalence of cognitive decline and dementia in older adults 1-3, which is expected to grow even faster in coming years as the global population rapidly ages 3-5. For decades, deficits in working memory - the ability to hold behaviorally useful information “in mind” over a period of seconds - have characterized a central feature of the normal cognitive decline observed across the adult lifespan and the abnormal rapid cognitive deterioration associated with dementias, such as Alzheimer's disease 6-10. These facts motivate the need to advance greater understanding of the brain mechanisms underlying age-related working memory deficits, and develop effective methods to maintain or even improve cognitive performance in older adults 11-13. Here, we propose to examine the mechanisms of age-related working memory impairment in healthy humans from a physiologically inspired perspective centered on large-scale brain networks and how they interact through synchronized electrophysiological rhythms 14-18. We focus on neural coding schemes (i.e., cross-frequency coupling and phase synchronization) hypothesized to index flexible large-scale circuits that integrate information across multiple temporal and spatial scales during cognition. We combine high-density electroencephalographic (EEG) measurements of synchronized rhythms with individually customized high-definition transcranial alternating-current stimulation (HD-tACS) 19-21 to determine whether it is possible to modify components of frontotemporal networks and cause improvements in working memory performance for older adults. Our preliminary data are highly encouraging and indicate that we can causally manipulate the synchronization of long-range low-frequency rhythms, increase local phase-amplitude coupling, and rapidly improve working memory behavior in older adults aged 60-76 years to accuracy levels equivalent to those of 20-year-olds. The goals of the research program are to use novel neuroscience tools and analysis procedures to gain a deeper understanding of the brain mechanisms underlying age-related working memory impairment, and contribute new knowledge to the development of effective, non-pharmacological interventions for improving cognition in healthy aging and clinical populations.
项目总结/文摘

项目成果

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Robert Reinhart其他文献

Robert Reinhart的其他文献

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{{ truncateString('Robert Reinhart', 18)}}的其他基金

Personalized Synchronization of Cortical Rhythms to Improve Memory in Alzheimer's Disease
皮质节律的个性化同步可改善阿尔茨海默氏病的记忆力
  • 批准号:
    10709218
  • 财政年份:
    2023
  • 资助金额:
    $ 41.25万
  • 项目类别:
Improving Working Memory in Older Adults by Restoring Large-Scale Cortical Interactions
通过恢复大规模皮层相互作用来改善老年人的工作记忆
  • 批准号:
    9797165
  • 财政年份:
    2019
  • 资助金额:
    $ 41.25万
  • 项目类别:
Improving Working Memory in Older Adults by Restoring Large-Scale Cortical Interactions
通过恢复大规模皮层相互作用来改善老年人的工作记忆
  • 批准号:
    10398130
  • 财政年份:
    2019
  • 资助金额:
    $ 41.25万
  • 项目类别:
Improving Working Memory in Older Adults by Restoring Large-Scale Cortical Interactions
通过恢复大规模皮层相互作用来改善老年人的工作记忆
  • 批准号:
    10165454
  • 财政年份:
    2019
  • 资助金额:
    $ 41.25万
  • 项目类别:
Causal Restructuring of Neural Rhythms Improves Adaptive Behavior
神经节律的因果重组可改善适应性行为
  • 批准号:
    10299619
  • 财政年份:
    2017
  • 资助金额:
    $ 41.25万
  • 项目类别:
Causal Restructuring of Neural Rhythms Improves Adaptive Behavior
神经节律的因果重组可改善适应性行为
  • 批准号:
    10056221
  • 财政年份:
    2017
  • 资助金额:
    $ 41.25万
  • 项目类别:
Cognitive Control and its neural substrates in schizophrenia
精神分裂症的认知控制及其神经基础
  • 批准号:
    8925705
  • 财政年份:
    2014
  • 资助金额:
    $ 41.25万
  • 项目类别:

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