Using synchronized brain rhythms to bias memory-guided decisions.

Elife

Department of Psychological and Brain Sciences, University of Delaware, Newark, United States.

Published: July 2024

AI Article Synopsis

  • Strong theta frequency synchronization (6-11 Hz) between the prefrontal cortex and hippocampus is linked to better memory-guided decision-making.
  • A brain-machine interface was used to start trials based on this synchronization, showing that trials with high synchronization had a higher chance of correct choices.
  • The study also found that this synchronization enhances interactions between the prefrontal cortex and thalamus, providing insights into how these neural circuits influence memory and decision-making.

Article Abstract

Functional interactions between the prefrontal cortex and hippocampus, as revealed by strong oscillatory synchronization in the theta (6-11 Hz) frequency range, correlate with memory-guided decision-making. However, the degree to which this form of long-range synchronization influences memory-guided choice remains unclear. We developed a brain-machine interface that initiated task trials based on the magnitude of prefrontal-hippocampal theta synchronization, then measured choice outcomes. Trials initiated based on strong prefrontal-hippocampal theta synchrony were more likely to be correct compared to control trials on both working memory-dependent and -independent tasks. Prefrontal-thalamic neural interactions increased with prefrontal-hippocampal synchrony and optogenetic activation of the ventral midline thalamus primarily entrained prefrontal theta rhythms, but dynamically modulated synchrony. Together, our results show that prefrontal-hippocampal theta synchronization leads to a higher probability of a correct choice and strengthens prefrontal-thalamic dialogue. Our findings reveal new insights into the neural circuit dynamics underlying memory-guided choices and highlight a promising technique to potentiate cognitive processes or behavior via brain-machine interfacing.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11262798PMC
http://dx.doi.org/10.7554/eLife.92033DOI Listing

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