ArticleNeuroImage2016
Group-wise parcellation of the cortex through multi-scale spectral clustering.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Frequency-specific segregation and integration of human cerebral cortex: An intrinsic functional atlas.iScience · 2024Article
- Evaluation of functional MRI-based human brain parcellation: a review.Journal of neurophysiology · 2022Review
- Visual experience modulates whole-brain connectivity dynamics: A resting-state fMRI study using the model of radiologists.Human brain mapping · 2021Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- A Multiscale Clustering Approach for Non-IID Nominal Data.Computational intelligence and neuroscience · 2021Article
- Spatial Stability of Functional Networks: A Measure to Assess the Robustness of Graph-Theoretical Metrics to Spatial Errors Related to Brain Parcellation.Frontiers in neuroscience · 2021Article
- Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks.Artificial intelligence in medicine · 2020Article
- Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering.Brain connectivity · 2020Article
- Optimising network modelling methods for fMRI.NeuroImage · 2020Article
- Functional Parcellation of Individual Cerebral Cortex Based on Functional MRI.Neuroinformatics · 2020Article
- The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.NeuroImage · 2018Article
- SPANOL (SPectral ANalysis of Lobes): A Spectral Clustering Framework for Individual and Group Parcellation of Cortical Surfaces in Lobes.Frontiers in neuroscience · 2018Article
- Generation of Individual Whole-Brain Atlases With Resting-State fMRI Data Using Simultaneous Graph Computation and Parcellation.Frontiers in human neuroscience · 2018Article
- Article
- Continuous representations of brain connectivity using spatial point processes.Medical image analysis · 2017Article
- Subject-Specific Structural Parcellations Based on Randomized AB-divergences.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2017Article
- Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration.NeuroImage · 2017Article
- Large-scale sparse functional networks from resting state fMRI.NeuroImage · 2017Article
- sGraSP: A graph-based method for the derivation of subject-specific functional parcellations of the brain.Journal of neuroscience methods · 2017Article
- A Supervoxel-Based Method for Groupwise Whole Brain Parcellation with Resting-State fMRI Data.Frontiers in human neuroscience · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The delineation of functionally and structurally distinct regions as well as their connectivity can provide key knowledge towards understanding the brain's behaviour and function. Cytoarchitecture has long been the gold standard for such parcellation tasks, but has poor scalability and cannot be mapped in vivo. Functional and diffusion magnetic resonance imaging allow in vivo mapping of brain's connectivity and the parcellation of the brain based on local connectivity information. Several methods have been developed for single subject connectivity driven parcellation, but very few have tackled the task of group-wise parcellation, which is essential for uncovering group specific behaviours. In this paper, we propose a group-wise connectivity-driven parcellation method based on spectral clustering that captures local connectivity information at multiple scales and directly enforces correspondences between subjects. The method is applied to diffusion Magnetic Resonance Imaging driven parcellation on two independent groups of 50 subjects from the Human Connectome Project. Promising quantitative and qualitative results in terms of information loss, modality comparisons, group consistency and inter-group similarities demonstrate the potential of the method.
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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.