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Related Experiment Video

Updated: Nov 17, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Behavior needs neural variability.

Leonhard Waschke1, Niels A Kloosterman1, Jonas Obleser2

  • 1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, 14195 Berlin, Germany; Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.

Neuron
|February 17, 2021
PubMed
Summary
This summary is machine-generated.

Neural variability, the apparent instability in brain activity, is crucial for understanding how behavior adapts. Focusing on this variability is key to comprehending brain-behavior relationships across individuals.

Keywords:
BOLDagingbehaviorbrain statesdesynchronizationelectrophysiologyinter-individual differencesneural variabilitytraits

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Area of Science:

  • Neuroscience
  • Behavioral Science

Background:

  • Behavioral adaptability in humans and animals contrasts with neural activity instability.
  • Neural variability is often overlooked in brain-behavior relationship studies.

Purpose of the Study:

  • To highlight the significance of neural variability in understanding brain-behavior links.
  • To advocate for the inclusion of neural variability in future research.

Main Methods:

  • Review of evidence across different scales, species, and imaging modalities.
  • Synthesis of existing research on neural variability and behavior.

Main Results:

  • Neural variability is a fundamental, yet undervalued, aspect of brain function.
  • Evidence supports the role of neural variability in both inter- and intra-individual differences in behavior.

Conclusions:

  • A comprehensive understanding of the neural basis of behavior requires a focus on neural variability.
  • Incorporating neural variability is essential for advancing neuroscience and behavioral science.