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Average is optimal: an inverted-U relationship between trial-to-trial brain activity and behavioral performance
1National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America.
Brain activity variability, not just average levels, impacts performance. Lower variability in brain signals correlates with better visual detection and faster reaction times, suggesting anticipatory brain dynamics.
Area of Science:
- Neuroscience
- Cognitive Science
Background:
- Trial-to-trial variability in brain activity and behavior is significant.
- Previous studies primarily examined monotonic relationships between brain activity fluctuations and performance.
- Recent findings suggest non-monotonic (U-shaped) relationships between across-trial brain variability and behavior.
Purpose of the Study:
- To investigate the relationship between trial-to-trial brain activity fluctuations and behavioral performance.
- To test for a U- or inverted-U-shaped relationship between brain variability and behavior.
- To determine if this relationship extends to pre-stimulus spontaneous brain activity.
Main Methods:
- Utilized a visual stimulus detection task.
- Recorded human electrocorticography (ECoG) data.
- Analyzed broadband ECoG activity fluctuations in relation to hit rates and reaction times.
Main Results:
- Evidence for an inverted-U brain-behavior relationship was found.
- Lower trial-to-trial variability in ECoG activity was associated with higher hit rates and faster reaction times.
- This relationship was observed in both post-stimulus task-evoked and pre-stimulus spontaneous brain activity.
Conclusions:
- Brain activity variability, not just average activity, is crucial for performance.
- The findings support the role of stochastic noise and attractor network theories in brain function.
- Anticipatory brain dynamics, reflected in pre-stimulus activity, influence task performance.
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