RT Journal Article
SR Electronic
T1 Pattern similarity analyses of frontoparietal task coding: Individual variation and genetic influences
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 642397
DO 10.1101/642397
A1 Joset A. Etzel
A1 Ya’el Courtney
A1 Caitlin E. Carey
A1 Maria Z. Gehred
A1 Arpana Agrawal
A1 Todd S. Braver
YR 2019
UL http://biorxiv.org/content/early/2019/09/25/642397.abstract
AB 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.