ArticleScientific reports2020
Functional parcellation of the hippocampus by semi-supervised clustering of resting state fMRI data.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Surface expansion regionalization of the hippocampus in early brain development.Developmental cognitive neuroscience · 2026Article
- Self-Processing Circuits Among Depressed Youth After Amygdala Neurofeedback Cued to the Self-Face.Journal of neuroscience research · 2025Article
- Hippocampal Volumetric Changes in Astronauts Following a Mission in the International Space Station.NeuroSci · 2025Article
- Mapping the macrostructure and microstructure of the in vivo human hippocampus using diffusion MRI.Human brain mapping · 2023Article
- Echoes from Intrinsic Connectivity Networks in the Subcortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Four-dimensional mapping of dynamic longitudinal brain subcortical development and early learning functions in infants.Nature communications · 2023Article
- Hippocampus Parcellation via Discriminative Embedded Clustering of fMRI Functional Connectivity.Brain sciences · 2023Article
- Data-Driven Clustering of Functional Signals Reveals Gradients in Processing Both within the Anterior Hippocampus and across Its Long Axis.The Journal of neuroscience : the official journal of the Society for Neuroscience · 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
- Group-guided individual functional parcellation of the hippocampus and application to normal aging.Human brain mapping · 2021Article
- The many dimensions of human hippocampal organization and (dys)function.Trends in neurosciences · 2021Review
- Parcellation of the Hippocampus According to Its Connection Probability with Prefrontal Cortex Subdivisions in a Malaysian Malay Population: Preliminary Findings.The Malaysian journal of medical sciences : MJMS · 2021Article
- Concurrent brain parcellation and connectivity estimation via co-clustering of resting state fMRI data: A novel approach.Human brain mapping · 2021Article
- Neurofunctional Segmentation Shifts in the Hippocampus.Frontiers in human neuroscience · 2021Article
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5 authors.
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Abstract
Many unsupervised methods are widely used for parcellating the brain. However, unsupervised methods aren't able to integrate prior information, obtained from such as exiting functional neuroanatomy studies, to parcellate the brain, whereas the prior information guided semi-supervised method can generate more reliable brain parcellation. In this study, we propose a novel semi-supervised clustering method for parcellating the brain into spatially and functionally consistent parcels based on resting state functional magnetic resonance imaging (fMRI) data. Particularly, the prior supervised and spatial information is integrated into spectral clustering to achieve reliable brain parcellation. The proposed method has been validated in the hippocampus parcellation based on resting state fMRI data of 20 healthy adult subjects. The experimental results have demonstrated that the proposed method could successfully parcellate the hippocampus into head, body and tail parcels. The distinctive functional connectivity patterns of these parcels have further demonstrated the validity of the parcellation results. The effects of aging on the three hippocampus parcels' functional connectivity were also explored across the healthy adult subjects. Compared with state-of-the-art methods, the proposed method had better performance on functional homogeneity. Furthermore, the proposed method had good test-retest reproducibility validated by parcellating the hippocampus based on three repeated resting state fMRI scans from 24 healthy adult subjects.
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