The human brain, a marvel of intricate connections, functions as a complex network comprising structurally and functionally integrated regions. This network orchestrates a multitude of complex patterns through high-le...The human brain, a marvel of intricate connections, functions as a complex network comprising structurally and functionally integrated regions. This network orchestrates a multitude of complex patterns through high-level integration and continuous cooperation, essential for overall brain functionality [1].展开更多
Functional magnetic resonance imaging(fMRI)is a prevalent technology in brain research of cognition,emotion,development,and brain disorders.The traditional fMRI analysis is based on volume-based preprocessing pipeline...Functional magnetic resonance imaging(fMRI)is a prevalent technology in brain research of cognition,emotion,development,and brain disorders.The traditional fMRI analysis is based on volume-based preprocessing pipelines and algorithms,which means that the brain MRI data is to be registered to a 3-dimensional(3D)coordinate[1].However,the relatively low spatial resolution of fMRI may lead to partial-volume-effect(e.g.,a 3D region may contain signals from grey matter,white matter and even cerebrospinal fluid).Given the human brain function is organized in a brain surface mesh manner,therefore,a growing number of studies conducted surface-based preprocessing pipelines and algorithms.Surface-based methods reconstructed the brain grey matter into 2-dimensional cortical surface which better represent the curving structure of the brain.Surface-based method is superior to volume-based method on brain registration,signal–noise ratio and reproducibility of algorithms[2].Specifically,the traditional volume-based approach was reported with a spatial localization that is only 35%of the best surface-based method[2].展开更多
基金supported by the Sci-Tech Innovation 2030-Major Project of Brain Science and Brain-inspired Intelligence Technology (2021ZD0200600)the National Natural Science Foundation of China (82122035,81671774,81630031)+3 种基金the Key Research Program of the Chinese Academy of Sciences (ZDBSSSW-JSC006)Beijing Nova Program of Science and Technology (Z191100001119104 and 20230484465)Beijing Natural Science Foundation (J230040)the Scientific Foundation of Institute of Psychology,Chinese Academy of Sciences (E2CX4425YZ)。
文摘The human brain, a marvel of intricate connections, functions as a complex network comprising structurally and functionally integrated regions. This network orchestrates a multitude of complex patterns through high-level integration and continuous cooperation, essential for overall brain functionality [1].
基金supported by the National Natural Science Foundation of China(82122035,81671774,and 81630031)the 13th Five-year Informatization Plan of Chinese Academy of Sciences(XXH13505)+1 种基金the Key Research Program of the Chinese Academy of Sciences(ZDBS-SSW-JSC006)the Beijing Nova Program of Science and Technology(Z191100001119104)。
文摘Functional magnetic resonance imaging(fMRI)is a prevalent technology in brain research of cognition,emotion,development,and brain disorders.The traditional fMRI analysis is based on volume-based preprocessing pipelines and algorithms,which means that the brain MRI data is to be registered to a 3-dimensional(3D)coordinate[1].However,the relatively low spatial resolution of fMRI may lead to partial-volume-effect(e.g.,a 3D region may contain signals from grey matter,white matter and even cerebrospinal fluid).Given the human brain function is organized in a brain surface mesh manner,therefore,a growing number of studies conducted surface-based preprocessing pipelines and algorithms.Surface-based methods reconstructed the brain grey matter into 2-dimensional cortical surface which better represent the curving structure of the brain.Surface-based method is superior to volume-based method on brain registration,signal–noise ratio and reproducibility of algorithms[2].Specifically,the traditional volume-based approach was reported with a spatial localization that is only 35%of the best surface-based method[2].
