ReviewNeuroImage2018
An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks.
Review in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Precision Neuromodulation with Real-Time Brain Decoding for Working Memory Enhancement.bioRxiv : the preprint server for biology · 2025Article
- Reproducible sex differences in personalised functional network topography in youth.The British journal of psychiatry : the journal of mental science · 2025Article
- Supervised brain node and network construction under voxel-level functional imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Individual connectivity-based parcellations reflect functional properties of human auditory cortex.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Prior-guided individualized thalamic parcellation based on local diffusion characteristics.Human brain mapping · 2024Article
- CoCoNest: A continuous structural connectivity-based nested family of parcellations of the human cerebral cortex.Network neuroscience (Cambridge, Mass.) · 2024Article
- Sex-dependent differences in connectivity patterns are related to episodic memory recall.Human brain mapping · 2023Article
- Review
- Evaluation of functional MRI-based human brain parcellation: a review.Journal of neurophysiology · 2022Review
- Test-retest reliability of time-varying patterns of brain activity across single band and multiband resting-state functional magnetic resonance imaging in healthy older adults.Frontiers in human neuroscience · 2022Article
- Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain.NeuroImage · 2021Article
- Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Concurrent brain parcellation and connectivity estimation via co-clustering of resting state fMRI data: A novel approach.Human brain mapping · 2021Article
- Heritability of individualized cortical network topography.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- The role of transcranial magnetic stimulation in understanding attention-related networks in single subjects.Current research in neurobiology · 2021Review
- Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2020Review
- Individualized functional networks reconfigure with cognitive state.NeuroImage · 2020Article
- Machine learning in resting-state fMRI analysis.Magnetic resonance imaging · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Recent work with functional connectivity data has led to significant progress in understanding the functional organization of the brain. While the majority of the literature has focused on group-level parcellation approaches, there is ample evidence that the brain varies in both structure and function across individuals. In this work, we introduce a parcellation technique that incorporates delineation of functional networks both at the individual- and group-level. The proposed technique deploys the notion of "submodularity" to jointly parcellate the cerebral cortex while establishing an inclusive correspondence between the individualized functional networks. Using this parcellation technique, we successfully established a cross-validated predictive model that predicts individuals' sex, solely based on the parcellation schemes (i.e. the node-to-network assignment vectors). The sex prediction finding illustrates that individualized parcellation of functional networks can reveal subgroups in a population and suggests that the use of a global network parcellation may overlook fundamental differences in network organization. This is a particularly important point to consider in studies comparing patients versus controls or even patient subgroups. Network organization may differ between individuals and global configurations should not be assumed. This approach to the individualized study of functional organization in the brain has many implications for both neuroscience and clinical applications.
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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.