ArticleNeuroImage2016
Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Semantically defined subdomains of functional neuroimaging literature and their corresponding brain regions.Human brain mapping · 2018Pooled it
- Exploring the role of the amygdala in Compulsive Sexual Behavior Disorder via a parcellation pipeline based on Recurrence Quantification Analysis.Journal of behavioral addictions · 2025Article
- Eagle-449: A volumetric, whole-brain compilation of brain atlases for vestibular functional MRI research.Scientific data · 2023Article
- Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping.IEEE transactions on medical imaging · 2022Article
- Corresponding anatomical of the macaque superior parietal lobule areas 5 (PE) subdivision reveal similar connectivity patterns with humans.Frontiers in neuroscience · 2022Article
- Amygdala volume and social anxiety symptom severity: Does segmentation technique matter?Psychiatry research. Neuroimaging · 2020Article
- Prediction of the Clinical Severity of Progressive Supranuclear Palsy by Diffusion Tensor Imaging.Journal of clinical medicine · 2019Article
- Imaging-based parcellations of the human brain.Nature reviews. Neuroscience · 2018Review
- An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks.NeuroImage · 2018Review
- Structural connectivity of the amygdala in young adults with autism spectrum disorder.Human brain mapping · 2018Article
- Abnormal Global Functional Connectivity Patterns in Medication-Free Major Depressive Disorder.Frontiers in neuroscience · 2018Article
- Whole Brain Functional Connectivity Pattern Homogeneity Mapping.Frontiers in human neuroscience · 2018Article
- Dynamics of functional connectivity at high spatial resolution reveal long-range interactions and fine-scale organization.Scientific reports · 2017Article
- ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation.Frontiers in neuroinformatics · 2017Article
- The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture.Cerebral cortex (New York, N.Y. : 1991) · 2016Article
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8 authors.
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Abstract
Parcellation of the human brain into fine-grained units by grouping voxels into distinct clusters has been an effective approach for delineating specific brain regions and their subregions. Published neuroimaging studies employing coordinate-based meta-analyses have shown that the activation foci and their corresponding behavioral categories may contain useful information about the anatomical-functional organization of brain regions. Inspired by these developments, we proposed a new parcellation scheme called meta-analytic activation modeling-based parcellation (MAMP) that uses meta-analytically obtained information. The raw meta data, including the experiments and the reported activation coordinates related to a brain region of interest, were acquired from the Brainmap database. Using this data, we first obtained the "modeled activation" pattern by modeling the voxel-wise activation probability given spatial uncertainty for each experiment that featured at least one focus within the region of interest. Then, we processed these "modeled activation" patterns across the experiments with a K-means clustering algorithm to group the voxels into different subregions. In order to verify the reliability of the method, we employed our method to parcellate the amygdala and the left Brodmann area 44 (BA44). The parcellation results were quite consistent with previous cytoarchitectonic and in vivo neuroimaging findings. Therefore, the MAMP proposed in the current study could be a useful complement to other methods for uncovering the functional organization of the human brain.
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