ArticleNeuroinformatics2020
Functional Parcellation of Individual Cerebral Cortex Based on Functional MRI.
Article in Neuroinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- The generalizability of cortical area parcellations across early childhood.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Individual connectivity-based parcellations reflect functional properties of human auditory cortex.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- [Movable Array of Magnetoencephalography With Optically Pumped Magnetometers Effectively Captures Primary Auditory-Evoked Response Signals in Healthy Populations at Low Altitudes].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024Article
- Should one go for individual- or group-level brain parcellations? A deep-phenotyping benchmark.Brain structure & function · 2024Article
- Article
- Evaluation of functional MRI-based human brain parcellation: a review.Journal of neurophysiology · 2022Review
- Functional individual variability development of the neonatal brain.Brain structure & function · 2022Article
- A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learning.Journal of neuroscience methods · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human brain atlas assists us to enhance our scientific understanding of brain structure and function. The typical anatomical atlases are mainly based on brain morphometry which cannot ensure the consistency of structure and function, and are also hard to cover individual functional differences especially in cerebral cortex. Thus, in recent years, functional atlases for individuals have captured great attention, since they are essential not only for identifying the unique functional organization of individual brains, but also to explore individual variations in behaviors. In this study, a novel approach was proposed to accurately parcellate the whole cerebral cortex at the individual level using resting-state functional magnetic resonance image (rs-fMRI). To examine the functional homogeneity in parcellation, a new evaluation criterion, similarity of cluster (SC) coefficient, was proposed. The parcellation results demonstrated the high consistency between two resting-state sessions (Dice >0.72). The most consistent parcellation appeared in the frontal cortex and the least consistent parcellation appeared in the occipital cortex. The functional homogeneity of subregions was high in frontal cortex and insula whereas low in precentral gyrus. According to SC value, the optimal clustering number was about 1600 per hemisphere. Identification accuracy was 100% between two rs-fMRI sessions, and it was also above 0.97 for rest-task and task-task sessions.
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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.