A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship

• Published in: Cognitive neurodynamics Vol. 18; no. 3; pp. 813 - 827
• Main Authors: Zhao, Xiaoyu, Chen, Kewei, Wang, Hailing, Gao, Yufei, Ji, Xiangmin, Li, Yanping
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.06.2024; Springer Nature B.V
• Subjects: Artificial Intelligence; Attention; Behavior; Biochemistry; Biomedical and Life Sciences; Biomedicine; Brain; Brain mapping; Cognitive Psychology; Computer Science; Covariance; Data analysis; Datasets; Functional anatomy; Functional magnetic resonance imaging; Hubs; Least squares; Magnetic resonance imaging; Medical imaging; Methods; Neuroimaging; Neurosciences; Research Article; Sensorimotor system; Structure-function relationships; Substantia grisea; Functional magnetic resonance imaging; Covariance structure–function network; Partial least squares correlation; Structural magnetic resonance imaging; Structure–function relationship

The brain structure–function relationship is crucial to how the human brain works under normal or diseased conditions. Exploring such a relationship is challenging when using the 3-dimensional magnetic resonance imaging (MRI) functional dataset which is temporal dynamic and the structural MRI which...