ReviewJournal of neurophysiology2022
Evaluation of functional MRI-based human brain parcellation: a review.
Review in Journal of neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed.
- Neural manifold connectomics reveals multiregime functional connectivity.bioRxiv : the preprint server for biology · 2026Article
- Spatial connectivity for local cortical homogeneity.Research square · 2026Article
- Altered flow of information in attention-deficit/hyperactivity disorder.Translational psychiatry · 2026Article
- Mapping Functional Brain Organization Using Artificial Intelligence.Chemical & biomedical imaging · 2026Review
- Review
- Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation.Human brain mapping · 2026Article
- The impact of balance exercise on brain age and brain morphometry: insights from MRI analysis.Aging clinical and experimental research · 2026Observational
- On the translational potential of atlases in precision oncology.Translational cancer research · 2025Review
- Spacetime concordance in the primate cortex.bioRxiv : the preprint server for biology · 2025Article
- st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain Networks.Human brain mapping · 2025Article
- Differences in Resting-State Functional Connectivity of Temperament-Based Profiles Among Youths With Attention-Deficit/Hyperactivity Disorder in the Adolescent Brain Cognitive Development Study.Clinical psychological science : a journal of the Association for Psychological Science · 2025Article
- Development of areal-level individualized homologous functional parcellations in youth.Communications biology · 2025Article
- Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood.Molecular autism · 2025Article
- The Impact of Atlas Parcellation on Functional Connectivity Analysis Across Six Psychiatric Disorders.Human brain mapping · 2025Article
- A Statistical Characterization of Dynamic Brain Functional Connectivity.Human brain mapping · 2025Article
- Exploring Brain Activity in Different Mental Cognitive Workloads.Iranian journal of psychiatry · 2024Article
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network.Neural plasticity · 2024Article
- The elusive metric of lesion load.Brain structure & function · 2023Review
- Interpreting and validating complexity and causality in lesion-symptom prognoses.Brain communications · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.