Interindividual Differences in Cognitive Variability Are Ubiquitous and Distinct From Mean Performance in a Battery
Nicholas Judd1, Michael Aristodemou1, Torkel Klingberg2
1Cognitive Neuroscience Department, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands.
Cognitive performance naturally fluctuates. This study reveals reliable individual differences in this cognitive variability, distinct from average performance, suggesting it
Area of Science:
- Cognitive psychology
- Neuroscience
- Psychometrics
Background:
- Cognitive task performance exhibits moment-to-moment fluctuations within individuals.
- Historically, cognitive variability has been treated as measurement error, overshadowing its potential significance.
- Research has predominantly focused on aggregate performance metrics, like mean performance, rather than response variability.
Purpose of the Study:
- To investigate cognitive variability as a crucial and intrinsic phenotype.
- To analyze dense trial-by-trial data using advanced time-series methodologies.
- To determine if cognitive variability represents reliable individual differences across diverse tasks.
Main Methods:
- Utilized dense trial-by-trial data from over 7 million trials across eleven distinct cognitive tasks.
- Applied novel time-series analytical methods to quantify cognitive fluctuations.
- Examined interindividual differences in response variability and compared them to mean performance.
Main Results:
- Identified highly reliable interindividual differences in cognitive variability across all examined tasks.
- Demonstrated that these variability differences are qualitatively and quantitatively distinct from mean performance.
- Found that a single, global dimension cannot adequately explain cognitive variability across tasks.
Conclusions:
- Cognitive variability is a fundamental aspect of cognition, not merely error.
- Individual differences in cognitive variability offer a novel phenotype for understanding cognitive function.
- Findings challenge existing global mechanisms of cognitive variability and suggest more nuanced models are needed.
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