Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex

Resting-state Magnetic resonance imaging-based parcellation aims to group the voxels/vertices non-invasively based on their connectivity profiles, which has achieved great success in understanding the fundamental organizational principles of the human brain. Given the substantial inter-individual va...

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Veröffentlicht in:	Computers in biology and medicine 2022-11, Vol.150, p.106078, Article 106078
Hauptverfasser:	Li, Yu, Liu, Aiping, Fu, Xueyang, Mckeown, Martin J., Wang, Z. Jane, Chen, Xun
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Alignment Apexes Brain Brain - diagnostic imaging Brain architecture Brain Mapping - methods Cerebral cortex Cerebral Cortex - diagnostic imaging Cerebrospinal fluid Computational neuroscience Correlation analysis Datasets Fingerprinting Homogeneity Humans Individual identification Individualized parcellation Machine learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Methods Neural networks Neuroimaging Neurosciences Parameter estimation Parkinson's disease Region growing Reproducibility of Results Seeds Sensorimotor system Signs and symptoms Similarity Symptom prediction Time series Topography
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