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Pattern similarity analyses of frontoparietal task coding: Individual variation and genetic influences

View ORCID ProfileJoset A. Etzel, Ya’el Courtney, Caitlin E. Carey, Maria Z. Gehred, Arpana Agrawal, Todd S. Braver
doi: https://doi.org/10.1101/642397
Joset A. Etzel
1Department of Psychological and Brain Sciences, Washington University in St. Louis
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  • For correspondence: jetzel@wustl.edu
Ya’el Courtney
2Department of Biology, Kent State University; Harvard Medical School, Division of Medical Sciences, Program in Neuroscience
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Caitlin E. Carey
3Department of Psychological and Brain Sciences, Washington University in St. Louis; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT
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Maria Z. Gehred
4Department of Psychological and Brain Sciences, Washington University in St. Louis; Department of Psychology and Neuroscience, Duke University
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Arpana Agrawal
5Department of Psychiatry, Washington University in St. Louis
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Todd S. Braver
1Department of Psychological and Brain Sciences, Washington University in St. Louis
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Abstract

Pattern similarity analyses are increasingly used to characterize coding properties of brain regions, but relatively few have focused on cognitive control processes in FrontoParietal regions. Here, we use the Human Connectome Project (HCP) N-back task fMRI dataset to examine individual differences and genetic influences on the coding of working memory load (0-back, 2-back) and perceptual category (Face, Place). Participants were grouped into 105 MZ (monozygotic) twin, 78 DZ (dizygotic) twin, 99 non-twin sibling, and 100 unrelated pairs. Activation pattern similarity was used to test the hypothesis that FrontoParietal regions would have higher similarity for same load conditions, while Visual regions would have higher similarity in same perceptual category conditions. Results confirmed this highly robust regional double dissociation in neural coding, which also predicted individual differences in behavioral performance. In pair-based analyses, anatomically-selective genetic relatedness effects were observed: relatedness predicted greater activation pattern similarity in FrontoParietal only for load coding, and in Visual only for perceptual coding. Further, in related pairs, the similarity of load coding in FrontoParietal regions was uniquely associated with behavioral performance. Together, these results highlight the power of task fMRI pattern similarity analyses for detecting key coding and heritability features of brain regions.

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  • https://osf.io/p6msu/

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted September 25, 2019.
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Pattern similarity analyses of frontoparietal task coding: Individual variation and genetic influences
Joset A. Etzel, Ya’el Courtney, Caitlin E. Carey, Maria Z. Gehred, Arpana Agrawal, Todd S. Braver
bioRxiv 642397; doi: https://doi.org/10.1101/642397
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Pattern similarity analyses of frontoparietal task coding: Individual variation and genetic influences
Joset A. Etzel, Ya’el Courtney, Caitlin E. Carey, Maria Z. Gehred, Arpana Agrawal, Todd S. Braver
bioRxiv 642397; doi: https://doi.org/10.1101/642397

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