Parcellation of functional subregions using an improved affinity propagation clustering algorithm based on structure-function coupling
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Updated: Sep 19, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Yanling Li1, Junbiao He1, Shen'ao Li1
1School of Electrical Engineering and Electronic Information Xihua University Chengdu Sichuan China.
Abstract:
LEARNING POINTS Integrating structural and functional connectivity via a nonlinear SFC framework improves the biological plausibility and robustness of primary visual cortex (V1) subregion parcellation compared with unimodal methods.The dorsal subregion of V1 (Dor-V1) exhibits selective functional abnormalities in individuals with autism spectrum disorder (ASD), which are significantly correlated with the severity of core social symptoms.Dor-V1 dysfunction may serve as a promising neuroimaging biomarker for patient subtyping and predicting treatment response in ASD, highlighting the clinical translational value of this fine-grained subregion atlas.
