Robustness of Working Memory to Prefrontal Cortex Microstimulation

Delay period activity in the dorsolateral prefrontal cortex (dlPFC) has been linked to the maintenance and control of sensory information in working memory. The stability of working memory-related signals found in such delay period activity is believed to support robust memory-guided behavior during sensory perturbations, such as distractors. Here, we directly probed dlPFC's delay period activity with a diverse set of activity perturbations and measured their consequences on neural activity and behavior. We applied patterned microstimulation to the dlPFC of two male rhesus macaques implanted with multielectrode arrays by electrically stimulating different electrodes in the array while they performed a memory-guided saccade task. We found that the microstimulation perturbations affected spatial working memory-related signals in individual dlPFC neurons. However, task performance remained largely unaffected. These apparently contradictory observations could be understood by examining different dimensions of the dlPFC population activity. In dimensions where working memory-related signals naturally evolved over time, microstimulation impacted neural activity. In contrast, in dimensions containing working memory-related signals that were stable over time, microstimulation minimally impacted neural activity. This dissociation could explain how working memory-related information may be stably maintained in dlPFC despite the activity changes induced by microstimulation. Thus, working memory processes are robust to a variety of activity perturbations in the dlPFC.

Authors

Institutions

Publication Details

Journal
Journal of Neuroscience
Published
2025-05-30
DOI
https://doi.org/10.1523/jneurosci.2197-24.2025
Citations
1
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.91

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robustness of Working Memory to Prefrontal Cortex Microstimulation

Byron M. Yu, Matthew A. Smith, Joana Soldado-Magraner, Yuki Minai
1 citations
Journal of Neuroscience
Neuroscience and Neural Engineering
0.91
article

Robustness of Working Memory to Prefrontal Cortex Microstimulation

Byron M. Yu, Matthew A. Smith, Joana Soldado-Magraner, Yuki Minai
article en
1 citations

Abstract

Delay period activity in the dorsolateral prefrontal cortex (dlPFC) has been linked to the maintenance and control of sensory information in working memory. The stability of working memory-related signals found in such delay period activity is believed to support robust memory-guided behavior during sensory perturbations, such as distractors. Here, we directly probed dlPFC's delay period activity with a diverse set of activity perturbations and measured their consequences on neural activity and behavior. We applied patterned microstimulation to the dlPFC of two male rhesus macaques implanted with multielectrode arrays by electrically stimulating different electrodes in the array while they performed a memory-guided saccade task. We found that the microstimulation perturbations affected spatial working memory-related signals in individual dlPFC neurons. However, task performance remained largely unaffected. These apparently contradictory observations could be understood by examining different dimensions of the dlPFC population activity. In dimensions where working memory-related signals naturally evolved over time, microstimulation impacted neural activity. In contrast, in dimensions containing working memory-related signals that were stable over time, microstimulation minimally impacted neural activity. This dissociation could explain how working memory-related information may be stably maintained in dlPFC despite the activity changes induced by microstimulation. Thus, working memory processes are robust to a variety of activity perturbations in the dlPFC.

Journal of NeuroscienceVol. 45(37)
University of Pittsburgh (US), Center for the Neural Basis of Cognition (US), Neuroscience Institute (IT), Carnegie Mellon University (US)
National Science Foundation, Simons Foundation, Japan Student Services Organization, National Institutes of Health
Openalex Percentile: Top 27%
Neuroscience and Neural Engineering
0.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.