Mri-based topographic parcellation of human neocortex: An anatomically specified method with estimate of reliability

Authors:
Verne S. Caviness;James Meyer;Nikos Makris;David N. Kennedy
Affiliations:
-;-;-;-
Venue:
Journal of Cognitive Neuroscience
Year:
1996

Citing 2
Cited 6

Brainprints: Computer-generated two-dimensional maps of the human cerebral cortex in vivo

Journal of Cognitive Neuroscience
Human cerebral cortex: Localization, parcellation, and morphometry with magnetic resonance imaging

Journal of Cognitive Neuroscience

Learning to Decode Cognitive States from Brain Images

Machine Learning
Human Cerebellum: Surface-Assisted Cortical Parcellation and Volumetry with Magnetic Resonance Imaging

Journal of Cognitive Neuroscience
Prosopagnosia as a Deficit in Encoding Curved Surface

Journal of Cognitive Neuroscience
Graded Functional Activation in the Visuospatial System with the Amount of Task Demand

Journal of Cognitive Neuroscience
A connectivity-based method for defining regions-of-interest in fMRI data

IEEE Transactions on Image Processing
Regional thinning of cerebral cortical thickness in first-episode and chronic schizophrenia

International Journal of Imaging Systems and Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe a system of parcellation of the human neocortex, based upon magnetic resonance images, that conserves the topographic uniqueness of the individual brain. Subdivision of the neocortex, according to this system, is based entirely upon the configuration of a specified set of cerebral landmarks, principally neocortical fissures. These are present but unique in the details of their configurations in each individual brain. We introduce here a computer-assisted algorithm that ensures that a skilled investigator can execute the parcellation routine in a manageable period of time. Secondly, we outline a comprehensive set of conventions that specify how the boundaries of parcellation units are defined by anatomic landmarks. The average interobserver agreement in voxel assignment to parcellation units within the overall neocortex was 80.2%.