Evaluation of functional MRI-based human brain parcellation: A review

Pantea Moghimi, Anh The Dang, Quan Do, Theoden I. Netoff, Kelvin O. Lim, Gowtham Atluri

Research output: Contribution to journalReview articlepeer-review

Abstract

Brain parcellations play a crucial role in the analysis of brain imaging data sets, as they can significantly affect the outcome of the analysis. In recent years, several novel approaches for constructing MRI-based brain parcellations have been developed with promising results. In the absence of ground truth, several evaluation approaches have been used to evaluate currently available brain parcellations. In this article, we review and critique methods used for evaluating functional brain parcellations constructed using fMRI data sets. We also describe how some of these evaluation methods have been used to estimate the optimal parcellation granularity. We provide a critical discussion of the current approach to the problem of identifying the optimal brain parcellation that is suited for a given neuroimaging study. We argue that the criteria for an optimal brain parcellation must depend on the application the parcellation is intended for. We describe a teleological approach to the evaluation of brain parcellations, where brain parcellations are evaluated in different contexts and optimal brain parcellations for each context are identified separately. We conclude by discussing several directions for further research that would result in improved evaluation strategies.

Original languageEnglish (US)
Pages (from-to)197-217
Number of pages21
JournalJournal of neurophysiology
Volume128
Issue number1
DOIs
StatePublished - 2022

Bibliographical note

Funding Information:
This work was supported by National Institutes of Health (NIH) Grant MH060662, NIH Grant DA038984, National Science Foundation (NSF) Grant CMMI: 1634445, NSF IIS1850204, 1S10OD017974-01, and National Institute of Biomedical Imaging and Bioengineering (NIBIB) P41 EB027061.

Publisher Copyright:
Copyright © 2022 the American Physiological Society.

Keywords

  • brain parcellation
  • evaluation
  • fMRI
  • functional neuroimaging

PubMed: MeSH publication types

  • Journal Article
  • Review
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

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