What Executive Function Network is that? An Image-Based Meta-Analysis of Network LabelsShow others and affiliations
2021 (English)In: Brain Topography, ISSN 0896-0267, E-ISSN 1573-6792, Vol. 34, no 5, p. 598-607Article in journal (Refereed) Published
Abstract [en]
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 158 group-level statistical maps (SPMs) received from authors of 69 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.
Place, publisher, year, edition, pages
Springer Nature, 2021. Vol. 34, no 5, p. 598-607
Keywords [en]
Executive function; Brain networks; FMRI; Image-based meta-analysis; Network labels
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:liu:diva-175980DOI: 10.1007/s10548-021-00847-zISI: 000648852000001PubMedID: 33970388OAI: oai:DiVA.org:liu-175980DiVA, id: diva2:1558951
Note
Funding Agencies|NSFNational Science Foundation (NSF) [1631325]; NIHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [R01 DA041353]
2021-06-012021-06-012022-03-24