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Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction
A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain
The organization of the human cerebral cortex estimated by intrinsic functional connectivity.
The organization of these large-scale cerebral networks in the human cerebrum was explored using resting-state functional connectivity MRI and their potential evolutionary expansion in humans to support cognition was discussed.
Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System
A set of procedures for modifying the representation of the cortical surface to inflate it so that activity buried inside sulci may be visualized, cut and flatten an entire hemisphere, and transform a hemisphere into a simple parameterizable surface such as a sphere for the purpose of establishing a surface-based coordinate system are designed.
Measuring the thickness of the human cerebral cortex from magnetic resonance images.
- B. Fischl, A. Dale
- Biology, PsychologyProceedings of the National Academy of Sciences…
- 26 September 2000
An automated method for accurately measuring the thickness of the cerebral cortex across the entire brain and for generating cross-subject statistics in a coordinate system based on cortical anatomy is presented.
The minimal preprocessing pipelines for the Human Connectome Project
Automatically parcellating the human cerebral cortex.
A technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from a manually labeled training set is presented, comparable in accuracy to manual labeling.
High‐resolution intersubject averaging and a coordinate system for the cortical surface
This work has developed a means for generating an average folding pattern across a large number of individual subjects as a function on the unit sphere and of nonrigidly aligning each individual with the average, establishing a spherical surface‐based coordinate system that is adapted to the folding pattern of each individual subject, allowing for much higher localization accuracy of structural and functional features of the human brain.