Skip Navigation

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (59)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Carman, G. J.
Right arrow Articles by Van Essen, D. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Carman, G. J.
Right arrow Articles by Van Essen, D. C.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Cerebral Cortex 1995; 5:506-517
© Oxford University Press 1995

research-article

Computational Methods for Reconstructing and Unfolding the Cerebral Cortex

George J. Carman1, Heather A. Drury2 and David C. Van Essen2

1The Salk Institute Vision Center San Diego, California 92186, 2Department of Anatomy and Neurobiology, Washington University School of Medicine St. Louis, Missouri 63110

We describe computational methods for constructing three-dimensional models and unfolded, two-dimensional maps of the cerebral cortex. These methods consist of four procedures, including (1) sampling of a surface within the cortex. (2) reconstruction of a three-dimensional model of that surface, (3) unfolding of the surface to generate a two-dimensional cortical map, and (4) visualization of data on the model and the map. These methods produce structurally accurate representations of the cortex and have practical advantages over previous manual and automated approaches for flattening the cortex. We illustrate the application of these methods to neuroanatomical data obtained from histological sections of cerebral cortex in the macaque monkey. The approach should be equally useful for structural and functional studies in other species, including humans.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 J. Neurophysiol.Home page
T. Naselaris, H. Merchant, B. Amirikian, and A. P. Georgopoulos
Spatial Reconstruction of Trajectories of an Array of Recording Microelectrodes
J Neurophysiol, April 1, 2005; 93(4): 2318 - 2330.
[Abstract] [Full Text] [PDF]

Home page
 J. Am. Med. Inform. Assoc.Home page
J. Mazziotta, A. Toga, A. Evans, P. Fox, J. Lancaster, K. Zilles, R. Woods, T. Paus, G. Simpson, B. Pike, et al.
A Four-Dimensional Probabilistic Atlas of the Human Brain
J. Am. Med. Inform. Assoc., September 1, 2001; 8(5): 401 - 430.
[Abstract] [Full Text] [PDF]

Home page
 J. Am. Med. Inform. Assoc.Home page
D. C. Van Essen, H. A. Drury, J. Dickson, J. Harwell, D. Hanlon, and C. H. Anderson
An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex
J. Am. Med. Inform. Assoc., September 1, 2001; 8(5): 443 - 459.
[Abstract] [Full Text] [PDF]

Home page
 J. Cogn. Neurosci.Home page
B. A. Wandell, S. Chial, and B. T. Backus
Visualization and Measurement of the Cortical Surface
J. Cogn. Neurosci., September 1, 2000; 12(5): 739 - 752.
[Abstract] [Full Text]

Home page
 J. Neurosci.Home page
P. M. Thompson, C. Schwartz, R. T. Lin, A. A. Khan, and A. W. Toga
Three-Dimensional Statistical Analysis of Sulcal Variability in the Human Brain
J. Neurosci., July 1, 1996; 16(13): 4261 - 4274.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.