Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature

被引:2221
作者
Destrieux, Christophe [1 ,2 ,3 ,4 ]
Fischl, Bruce [5 ,6 ]
Dale, Anders [7 ,8 ]
Halgren, Eric [7 ,8 ]
机构
[1] Univ Tours, Anat Lab, Fac Med, IFR Imagerie Fonct 135, F-37032 Tours, France
[2] INSERM, U930, Tours, France
[3] CHRU Tours, Tours, France
[4] CNRS, ERL 3106, Tours, France
[5] Harvard Univ, Sch Med, NMR Ctr, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA USA
[6] MIT, Comp Sci & AI Lab HST, Cambridge, MA USA
[7] Univ Calif San Diego, Dept Radiol, La Jolla, CA 92093 USA
[8] Univ Calif San Diego, Dept Neurosci, La Jolla, CA 92093 USA
基金
美国国家卫生研究院;
关键词
Anatomy; Atlas; Brain; Cerebral cortex; MRI; HUMAN CEREBRAL-CORTEX; SURFACE-BASED ANALYSIS; SEGMENTATION; BRAIN; ATLAS; TERMINOLOGY; REGIONS; SYSTEM; PALS;
D O I
10.1016/j.neuroimage.2010.06.010
中图分类号
Q189 [神经科学];
学科分类号
071006 [神经生物学];
摘要
Precise localization of sulco-gyral structures of the human cerebral cortex is important for the interpretation of morpho-functional data, but requires anatomical expertise and is time consuming because of the brain's geometric complexity. Software developed to automatically identify sulco-gyral structures has improved substantially as a result of techniques providing topologically correct reconstructions permitting inflated views of the human brain. Here we describe a complete parcellation of the cortical surface using standard internationally accepted nomenclature and criteria. This parcellation is available in the FreeSurfer package. First, a computer-assisted hand parcellation classified each vertex as sulcal or gyral, and these were then subparcellated into 74 labels per hemisphere. Twelve datasets were used to develop rules and algorithms ( reported here) that produced labels consistent with anatomical rules as well as automated computational parcellation. The final parcellation was used to build an atlas for automatically labeling the whole cerebral cortex. This atlas was used to label an additional 12 datasets, which were found to have good concordance with manual labels. This paper presents a precisely defined method for automatically labeling the cortical surface in standard terminology. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 47 条
[1]
BROCA P, 1877, B SOC ANTHR, V12, P614
[2]
BROCA P, 1878, REVUE ANTHROPOL, P193
[3]
A generic framework for the parcellation of the cortical surface into gyri using geodesic Voronoi diagrams [J].
Cachia, A ;
Mangin, JF ;
Rivière, D ;
Papadopoulos-Orfanos, D ;
Kherif, F ;
Bloch, I ;
Régis, J .
MEDICAL IMAGE ANALYSIS, 2003, 7 (04) :403-416
[4]
Carpenter M.B., 1991, CORE TEXT NEUROANATO, V4th
[5]
MRI-based topographic parcellation of human neocortex: An anatomically specified method with estimate of reliability [J].
Caviness, VS ;
Meyer, J ;
Makris, N ;
Kennedy, DN .
JOURNAL OF COGNITIVE NEUROSCIENCE, 1996, 8 (06) :566-587
[6]
Cortical surface-based analysis - I. Segmentation and surface reconstruction [J].
Dale, AM ;
Fischl, B ;
Sereno, MI .
NEUROIMAGE, 1999, 9 (02) :179-194
[7]
IMPROVED LOCALIZATION OF CORTICAL ACTIVITY BY COMBINING EEG AND MEG WITH MRI CORTICAL SURFACE RECONSTRUCTION - A LINEAR-APPROACH [J].
DALE, AM ;
SERENO, MI .
JOURNAL OF COGNITIVE NEUROSCIENCE, 1993, 5 (02) :162-176
[8]
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest [J].
Desikan, Rahul S. ;
Segonne, Florent ;
Fischl, Bruce ;
Quinn, Brian T. ;
Dickerson, Bradford C. ;
Blacker, Deborah ;
Buckner, Randy L. ;
Dale, Anders M. ;
Maguire, R. Paul ;
Hyman, Bradley T. ;
Albert, Marilyn S. ;
Killiany, Ronald J. .
NEUROIMAGE, 2006, 31 (03) :968-980
[9]
DESTRIEUX C, 1998, SOC NEUROSCI, P1164
[10]
Duvernoy H., 1991, The Human Brain: Surface, Three-Dimensional Sectional Anatomy and MRI