Tale of Two n-Backs: Diverging Associations of Dorsolateral Prefrontal Cortex Activation With n-Back Task Performance
Philip N Tubiolo1,2,3, John C Williams1,2,4, Jared X Van Snellenberg1,2,5
1Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.
Task variations in working memory (WM) functional magnetic resonance imaging (fMRI) studies can yield different brain activation-performance relationships. Researchers must carefully choose WM tasks and interpret fMRI results cautiously.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Investigating neural correlates of working memory (WM) using functional magnetic resonance imaging (fMRI) often lacks reporting of brain activation-task performance associations.
- The influence of specific WM task designs on these activation-performance relationships remains unclear.
Purpose of the Study:
- To demonstrate how different working memory task variations impact brain-behavior correlations.
- To analyze fMRI data from two large, independent cohorts performing distinct n-back tasks.
Main Methods:
- Utilized between-participant analyses on task-based fMRI data from the Human Connectome Project (HCP) and the Queensland Twin Imaging (QTIM) Study.
- Examined activation-performance relationships ([2-back - 0-back] contrast vs. 2-back % correct) in prefrontal cortex regions and the whole cortex across datasets.
Main Results:
- Global brain activation patterns were consistent across datasets.
- Opposite activation-performance associations were found in the pre-supplementary motor area and left middle frontal gyrus.
- The Human Connectome Project cohort showed a stronger activation-performance relationship in the middle frontal gyrus compared to the QTIM Study cohort.
Conclusions:
- Divergent activation-performance relationships observed between variations of the n-back task highlight the critical impact of task selection.
- Researchers should exercise caution when interpreting neural activation in response to working memory tasks and consider task design implications.
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