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Synchronous Rhythmic Activity in Area V4 Can Impair Shape Detection and Neuronal Reliability.

Rachel Wahlberg1,2,3, Theoden Netoff4, Geoffrey Ghose5

  • 1Neuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan, 48109.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|June 26, 2025
PubMed
Summary
This summary is machine-generated.

Reduced rhythmic brain activity before visual stimuli improves detection accuracy. This suggests that rhythmic neural activity can introduce noise, hindering task performance and reducing the reliability of information from individual neurons.

Keywords:
gamma oscillationsnoiseobject processingventral stream

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Population-level neural rhythms are fundamental to cortical activity, both normal and pathological.
  • The precise impact of these rhythms on individual neuron activity and task performance remains poorly understood.

Purpose of the Study:

  • To investigate how local field potential (LFP) rhythms interact with single neuron activity in area V4 during a visual detection task.
  • To determine the influence of alpha/beta and gamma frequency bands on trial-by-trial task performance.

Main Methods:

  • Analysis of local field potential (LFP) and single-unit activity in area V4 of rhesus macaques performing a visual detection task.
  • Focus on rhythmic activity in alpha/beta (10-30 Hz) and gamma (50-70 Hz) frequency ranges preceding stimulus presentation.
  • Correlation of rhythmic activity patterns with successful versus unsuccessful shape detection.

Main Results:

  • Periods of successful shape detection were associated with reduced rhythmic activity (quiescence) in both alpha/beta and gamma bands prior to stimulus onset.
  • Pre-stimulus rhythmic quiescence accurately predicted detection success.
  • Neurons carrying the most task-relevant information exhibited weaker coupling to LFP rhythms.

Conclusions:

  • Spatially distributed rhythmic activity may act as a source of decision noise during rapid visual detection.
  • Reduced neural rhythmicity enhances the reliability of task-relevant information conveyed by individual neurons, improving performance.
  • Findings offer insights into the neural mechanisms underlying visual perception and decision-making.