Common functional localizers to enhance NHP & cross-species neuroscience imaging research.

Journal Article (Journal Article)

Functional localizers are invaluable as they can help define regions of interest, provide cross-study comparisons, and most importantly, allow for the aggregation and meta-analyses of data across studies and laboratories. To achieve these goals within the non-human primate (NHP) imaging community, there is a pressing need for the use of standardized and validated localizers that can be readily implemented across different groups. The goal of this paper is to provide an overview of the value of localizer protocols to imaging research and we describe a number of commonly used or novel localizers within NHPs, and keys to implement them across studies. As has been shown with the aggregation of resting-state imaging data in the original PRIME-DE submissions, we believe that the field is ready to apply the same initiative for task-based functional localizers in NHP imaging. By coming together to collect large datasets across research group, implementing the same functional localizers, and sharing the localizers and data via PRIME-DE, it is now possible to fully test their robustness, selectivity and specificity. To do this, we reviewed a number of common localizers and we created a repository of well-established localizer that are easily accessible and implemented through the PRIME-RE platform.

Full Text

Duke Authors

Cited Authors

  • Russ, BE; Petkov, CI; Kwok, SC; Zhu, Q; Belin, P; Vanduffel, W; Hamed, SB

Published Date

  • August 2021

Published In

Volume / Issue

  • 237 /

Start / End Page

  • 118203 -

PubMed ID

  • 34048898

Pubmed Central ID

  • PMC8529529

Electronic International Standard Serial Number (EISSN)

  • 1095-9572

International Standard Serial Number (ISSN)

  • 1053-8119

Digital Object Identifier (DOI)

  • 10.1016/j.neuroimage.2021.118203


  • eng