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What executive function network is that? An image-based meta-analysis of network labels

View ORCID ProfileSuzanne T. Witt, View ORCID ProfileHelene van Ettinger-Veenstra, View ORCID ProfileTaylor Salo, View ORCID ProfileMichael C. Riedel, View ORCID ProfileAngela R. Laird
doi: https://doi.org/10.1101/2020.07.14.201202
Suzanne T. Witt
1BrainsCAN, University of Western Ontario, London, ON N6A 3K7, CANADA
3Center for Medical Image Science and Visualization (CMIV), Linköping University/US, 581 85 Linköping, Sweden
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  • For correspondence: switt4@uwo.ca stwittphd@gmail.com
Helene van Ettinger-Veenstra
2Center for Social and Affective Neuroscience (CSAN), Linköping University/US, 581 85 Linköping, Sweden
3Center for Medical Image Science and Visualization (CMIV), Linköping University/US, 581 85 Linköping, Sweden
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Taylor Salo
4Department of Psychology, Florida International University, Miami, FL 33199, USA
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Michael C. Riedel
5Department of Physics, Florida International University, Miami, FL 33199, USA
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Angela R. Laird
5Department of Physics, Florida International University, Miami, FL 33199, USA
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Abstract

The current state of label conventions used to describe brain networks related to executive functions is highly inconsistent, leading to confusion among researchers regarding network labels. Visually similar networks are referred to by different labels, yet these same labels are used to distinguish networks within studies. We performed a literature review of fMRI studies and identified nine frequently-used labels that are used to describe topographically or functionally similar neural networks: central executive network (CEN), cognitive control network (CCN), dorsal attention network (DAN), executive control network (ECN), executive network (EN), frontoparietal network (FPN), working memory network (WMN), task positive network (TPN), and ventral attention network (VAN). Our aim was to meta-analytically determine consistency of network topography within and across these labels. We hypothesized finding considerable overlap in the spatial topography among the neural networks associated with these labels. An image-based meta-analysis was performed on 166 individual statistical maps (SPMs) received from authors of 72 papers listed on PubMed. Our results indicated that there was very little consistency in the SPMs labeled with a given network name. We identified four clusters of SPMs representing four spatially distinct executive function networks. We provide recommendations regarding label nomenclature and propose that authors looking to assign labels to executive function networks adopt this template set for labeling networks.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://identifiers.org/neurovault.collection:8448

Copyright 
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-ND 4.0 International license.
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Posted July 15, 2020.
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What executive function network is that? An image-based meta-analysis of network labels
Suzanne T. Witt, Helene van Ettinger-Veenstra, Taylor Salo, Michael C. Riedel, Angela R. Laird
bioRxiv 2020.07.14.201202; doi: https://doi.org/10.1101/2020.07.14.201202
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What executive function network is that? An image-based meta-analysis of network labels
Suzanne T. Witt, Helene van Ettinger-Veenstra, Taylor Salo, Michael C. Riedel, Angela R. Laird
bioRxiv 2020.07.14.201202; doi: https://doi.org/10.1101/2020.07.14.201202

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