A Probabilistic Atlas and Reference System for the Human Brain
暂无分享,去创建一个
[1] D. Louis Collins,et al. Automatic 3‐D model‐based neuroanatomical segmentation , 1995 .
[2] T. L. Hayes,et al. Anatomical Specialization of the Anterior Motor Speech Area: Hemispheric Differences in Magnopyramidal Neurons , 1995, Brain and Language.
[3] Christian Barillot,et al. Bayesian approach to the brain image matching problem , 1995, Medical Imaging.
[4] Alan C. Evans,et al. Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI , 2000, NeuroImage.
[5] Alan C. Evans,et al. Digital brain atlases , 1995, Trends in Neurosciences.
[6] W. R. Klemm,et al. A comparison of two techniques for analyzing neuronal interspike intervals: Autocorrelation and relative interval coding , 1980, Brain Research Bulletin.
[7] G. Bonin,et al. The isocortex of man , 1951 .
[8] Gabriele Lohmann,et al. Extracting line representations of sulcal and gyral patterns in MR images of the human brain , 1998, IEEE Transactions on Medical Imaging.
[9] Lars Eriksson,et al. Transformations and algorithms in a computerized brain atlas , 1992 .
[10] J. Mazziotta,et al. Rapid Automated Algorithm for Aligning and Reslicing PET Images , 1992, Journal of computer assisted tomography.
[11] N. Geschwind,et al. Human Brain: Left-Right Asymmetries in Temporal Speech Region , 1968, Science.
[12] A. Galaburda,et al. Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology. , 1993, Cerebral cortex.
[13] D. Louis Collins,et al. Model-based 3-D segmentation of multiple sclerosis lesions in dual-echo MRI data , 1992, Other Conferences.
[14] Paul M. Thompson,et al. A surface-based technique for warping three-dimensional images of the brain , 1996, IEEE Trans. Medical Imaging.
[15] Floyd E. Bloom,et al. The Multidimensional Database and Neuroinformatics Requirements for Molecular and Cellular Neuroscience , 1996, NeuroImage.
[16] K. Brodmann. Vergleichende Lokalisationslehre der Großhirnrinde : in ihren Prinzipien dargestellt auf Grund des Zellenbaues , 1985 .
[17] Paul M. Thompson,et al. ELASTIC IMAGE REGISTRATION AND PATHOLOGY DETECTION , 1999 .
[18] A. Toga,et al. Mapping morphology of the corpus callosum in schizophrenia. , 2000, Cerebral cortex.
[19] A. Galaburda,et al. Human Cerebral Cortex: Localization, Parcellation, and Morphometry with Magnetic Resonance Imaging , 1992, Journal of Cognitive Neuroscience.
[20] C C Wood,et al. Retinotopic organization of human visual cortex: departures from the classical model. , 1996, Cerebral cortex.
[21] A. Dale,et al. High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.
[22] Paul M. Thompson,et al. Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformations , 1997, Medical Image Anal..
[23] Leslie G. Ungerleider,et al. Cortical connections of visual area MT in the macaque , 1986, The Journal of comparative neurology.
[24] Alan C. Evans,et al. Automatic Quantification of Multiple Sclerosis Lesion Volume Using Stereotaxic Space , 1996, VBC.
[25] Alan C. Evans,et al. The Role of MRI in clinical trials of multiple sclerosis: Comparison of image processing techniques , 1997, Annals of neurology.
[26] D. Collins,et al. Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space , 1994, Journal of computer assisted tomography.
[27] Alan C. Evans,et al. A Comparison of Retrospective Intensity Non-uniformity Correction Methods for MRI , 1997, IPMI.
[28] Stephen H. Koslow,et al. Should the neuroscience community make a paradigm shift to sharing primary data? , 2000, Nature Neuroscience.
[29] S. Clarke,et al. Occipital cortex in man: Organization of callosal connections, related myelo‐ and cytoarchitecture, and putative boundaries of functional visual areas , 1990, The Journal of comparative neurology.
[30] Jeih-San Liow,et al. Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity Effects , 2001, NeuroImage.
[31] K. Zilles,et al. Areas 3a, 3b, and 1 of Human Primary Somatosensory Cortex 2. Spatial Normalization to Standard Anatomical Space , 2000, NeuroImage.
[32] Karl Zilles,et al. A New Approach to Fast Elastic Alignment with Applications to Human Brain , 1996, VBC.
[33] I. Fried,et al. Dendritic organization of the anterior speech area , 1985, Experimental Neurology.
[34] R. Woods,et al. Mapping Histology to Metabolism: Coregistration of Stained Whole-Brain Sections to Premortem PET in Alzheimer's Disease , 1997, NeuroImage.
[35] J. Mazziotta,et al. A Noninvasive Positron Computed Tomography Technique Using Oxygen-15-Labeled Water for the Evaluation of Neurobehavioral Task Batteries , 1985, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[36] Karl J. Friston,et al. Comparing Functional (PET) Images: The Assessment of Significant Change , 1991, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[37] A. Toga,et al. High-Resolution Random Mesh Algorithms for Creating a Probabilistic 3D Surface Atlas of the Human Brain , 1996, NeuroImage.
[38] D. Weinberger,et al. Genetic variability of human brain size and cortical gyral patterns. , 1997, Brain : a journal of neurology.
[39] Alan C. Evans,et al. Automatic 3D Regional MRI Segmentation and Statistical Probability Anatomy Maps , 1996 .
[40] C. Davatzikos. Spatial normalization of 3D brain images using deformable models. , 1996, Journal of computer assisted tomography.
[41] A. Galaburda,et al. [Broca's region: anatomic remarks made a century after the death of its discoverer]. , 1980, Revue neurologique.
[42] Arthur W. Toga,et al. Three-dimensional skeleton and centerline generation based on an approximate minimum distance field , 1998, The Visual Computer.
[43] N. Geschwind,et al. Right-left asymmetrics in the brain. , 1978, Science.
[44] S. Strother,et al. Quantitative Comparisons of Image Registration Techniques Based on High‐Resolution MRI of the Brain , 1994, Journal of computer assisted tomography.
[45] A. Schleicher,et al. Two different areas within the primary motor cortex of man , 1996, Nature.
[46] Martin Ingvar,et al. Methodological Aspects of Brain Activation Studies: Cerebral Blood Flow Determined with [15O]Butanol and Positron Emission Tomography , 1994, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[47] A M Galaburda,et al. La région de Broca: observations anatomiques faites un siècle après la mort de son découvreur. , 1980 .
[48] Michael I. Miller,et al. Deformable templates using large deformation kinematics , 1996, IEEE Trans. Image Process..
[49] J L Lancaster,et al. Neuroscience on the net. , 1994, Science.
[50] Karl J. Friston,et al. A direct demonstration of functional specialization in human visual cortex , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[51] D. M. Schmidt,et al. Bayesian inference applied to the electromagnetic inverse problem , 1998, Human brain mapping.
[52] P. Morosan,et al. Observer-Independent Method for Microstructural Parcellation of Cerebral Cortex: A Quantitative Approach to Cytoarchitectonics , 1999, NeuroImage.
[53] Alan C. Evans,et al. A new anatomical landmark for reliable identification of human area V5/MT: a quantitative analysis of sulcal patterning. , 2000, Cerebral cortex.
[54] Paul M. Thompson,et al. 6 – Disease-Specific Brain Atlases , 2000 .
[55] N Mai,et al. Disturbance of movement vision after bilateral posterior brain damage. Further evidence and follow up observations. , 1991, Brain : a journal of neurology.
[56] R J Ilmoniemi,et al. Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI. , 1999, Journal of neurophysiology.
[57] K. Zilles,et al. Brain atlases - a new research tool , 1994, Trends in Neurosciences.
[58] Alan C. Evans,et al. Interhemispheric anatomical differences in human primary auditory cortex: probabilistic mapping and volume measurement from magnetic resonance scans. , 1996, Cerebral cortex.
[59] K. Zilles,et al. Fast reaction to different sensory modalities activates common fields in the motor areas, but the anterior cingulate cortex is involved in the speed of reaction. , 2000, Journal of neurophysiology.
[60] D. V. van Essen,et al. Retinotopic organization of human visual cortex mapped with positron- emission tomography , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[61] Paul A. Viola,et al. Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..
[62] Arnold B. Scheibel,et al. The postnatal development of the motor speech area: A preliminary study , 1989, Brain and Language.
[63] Arthur W. Toga,et al. Surface mapping brain function on 3D models , 1990, IEEE Computer Graphics and Applications.
[64] Alan C. Evans,et al. In vivo morphometry of the intrasulcal gray matter in the human cingulate, paracingulate, and superior‐rostral sulci: Hemispheric asymmetries, gender differences and probability maps , 1996, The Journal of comparative neurology.
[65] E Pennisi,et al. Keeping Genome Databases Clean and Up to Date , 1999, Science.
[66] K. Zilles,et al. Illusory Arm Movements Activate Cortical Motor Areas: A Positron Emission Tomography Study , 1999, The Journal of Neuroscience.
[67] J. Mazziotta,et al. MRI‐PET Registration with Automated Algorithm , 1993, Journal of computer assisted tomography.
[68] Alan C. Evans,et al. A method for identifying geometrically simple surfaces from three-dimensional images , 1998 .
[69] D. Louis Collins,et al. Automated extraction and variability analysis of sulcal neuroanatomy , 1999, IEEE Transactions on Medical Imaging.
[70] A. Schleicher,et al. Mapping of human and macaque sensorimotor areas by integrating architectonic, transmitter receptor, MRI and PET data. , 1995, Journal of anatomy.
[71] D. Louis Collins,et al. Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images , 1995, IEEE Trans. Medical Imaging.
[72] Scott T. Grafton,et al. Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.
[73] Morten Bro-Nielsen,et al. Fast Fluid Registration of Medical Images , 1996, VBC.
[74] Richard S. J. Frackowiak,et al. Area V5 of the human brain: evidence from a combined study using positron emission tomography and magnetic resonance imaging. , 1993, Cerebral cortex.
[75] R. Bajcsy,et al. Elastically Deforming 3D Atlas to Match Anatomical Brain Images , 1993, Journal of computer assisted tomography.
[76] Karl J. Friston,et al. Incorporating Prior Knowledge into Image Registration , 1997, NeuroImage.
[77] 小野 道夫,et al. Atlas of the Cerebral Sulci , 1990 .
[78] Christos Davatzikos,et al. Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997, Comput. Vis. Image Underst..
[79] Alan C. Evans,et al. Enhancement of MR Images Using Registration for Signal Averaging , 1998, Journal of Computer Assisted Tomography.
[80] Lutz Jäncke,et al. Anatomical left‐right asymmetry of language‐related temporal cortex is different in left‐ and right‐handers , 1991, Annals of neurology.
[81] Paul A. Viola,et al. Alignment by Maximization of Mutual Information , 1995, Proceedings of IEEE International Conference on Computer Vision.
[82] R. Woods,et al. Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain , 2000, Human brain mapping.
[83] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[84] O. Andreassen,et al. Mice Deficient in Cellular Glutathione Peroxidase Show Increased Vulnerability to Malonate, 3-Nitropropionic Acid, and 1-Methyl-4-Phenyl-1,2,5,6-Tetrahydropyridine , 2000, The Journal of Neuroscience.
[85] H A Drury,et al. Computational methods for reconstructing and unfolding the cerebral cortex. , 1995, Cerebral cortex.
[86] A. Schleicher,et al. Broca's region revisited: Cytoarchitecture and intersubject variability , 1999, The Journal of comparative neurology.
[87] Karl Zilles,et al. Extension of the Principle Axes Theory for the Determination of Affine Transformation , 1997, DAGM-Symposium.
[88] Alan C. Evans,et al. Human cingulate and paracingulate sulci: pattern, variability, asymmetry, and probabilistic map. , 1996, Cerebral cortex.
[89] Alan C. Evans,et al. A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.
[90] W. Andrew. The vertebrate visual system , 1957 .
[91] Alan C. Evans,et al. Growth patterns in the developing brain detected by using continuum mechanical tensor maps , 2000, Nature.
[92] D. V. van Essen,et al. Structural and Functional Analyses of Human Cerebral Cortex Using a Surface-Based Atlas , 1997, The Journal of Neuroscience.
[93] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[94] Karl Zilles,et al. The Developing European Computerized Human Brain Database for All Imaging Modalities , 1996, NeuroImage.
[95] Arthur W. Toga,et al. Efficient Skeletonization of Volumetric Objects , 1999, IEEE Trans. Vis. Comput. Graph..
[96] K. Zilles,et al. Structural divisions and functional fields in the human cerebral cortex 1 Published on the World Wide Web on 20 February 1998. 1 , 1998, Brain Research Reviews.
[97] Milan Sonka,et al. Learning Shape Models from Examples Using Automatic Shape Clustering and Procrustes Analysis , 1999, IPMI.
[98] M. F. Huerta,et al. The human brain project: an international resource , 1993, Trends in Neurosciences.
[99] K Amunts,et al. Quantitative analysis of sulci in the human cerebral cortex: Development, regional heterogeneity, gender difference, asymmetry, intersubject variability and cortical architecture , 1997, Human brain mapping.
[100] T. L. Hayes,et al. Magnopyramidal neurons in the anterior motor speech region. Dendritic features and interhemispheric comparisons. , 1996, Archives of neurology.
[101] A. Toga,et al. Three-Dimensional Statistical Analysis of Sulcal Variability in the Human Brain , 1996, The Journal of Neuroscience.
[102] Karl Zilles,et al. Statistics of deformations in histology and application to improved alignment with MRI , 1995, IEEE Trans. Medical Imaging.
[103] W D Obrist,et al. Differences in the distribution of gray and white matter in human cerebral hemispheres. , 1980, Science.
[104] P E Roland,et al. Somatosensory areas in man activated by moving stimuli: cytoarchitectonic mapping and PET , 2000, Neuroreport.
[105] D. V. van Essen,et al. Functional and structural mapping of human cerebral cortex: solutions are in the surfaces. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[106] Arthur W. Toga,et al. Digital image reconstruction for the study of brain structure and function , 1987, Journal of Neuroscience Methods.
[107] A. Schleicher,et al. The Somatosensory Cortex of Human: Cytoarchitecture and Regional Distributions of Receptor-Binding Sites , 1997, NeuroImage.
[108] Arthur W. Toga,et al. A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development The International Consortium for Brain Mapping (ICBM) , 1995, NeuroImage.
[109] A. Toga,et al. Cortical variability and asymmetry in normal aging and Alzheimer's disease. , 1998, Cerebral cortex.
[110] A W Toga,et al. Informatics and computational neuroanatomy. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.
[111] A. Toga,et al. Detection and mapping of abnormal brain structure with a probabilistic atlas of cortical surfaces. , 1997, Journal of computer assisted tomography.
[112] Richard M. Leahy,et al. Surface-based labeling of cortical anatomy using a deformable atlas , 1997, IEEE Transactions on Medical Imaging.
[113] Karl Zilles,et al. Limitations of the principal-axes theory , 1997, IEEE Transactions on Medical Imaging.
[114] T Greitz,et al. Accuracy and Precision of the Computerized Brain Atlas Programme for Localization and Quantification in Positron Emission Tomography , 1990, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[115] C. Broit. Optimal registration of deformed images , 1981 .
[116] A Gevins,et al. High resolution EEG: 124-channel recording, spatial deblurring and MRI integration methods. , 1994, Electroencephalography and clinical neurophysiology.
[117] Alan C. Evans,et al. Multiple surface identification and matching in magnetic resonance images , 1994, Other Conferences.
[118] W D Willis,et al. Brain Browser: hypercard application for the Macintosh. , 1991, Science.
[119] G. Paxinos,et al. The Rat Brain in Stereotaxic Coordinates , 1983 .
[120] G. Ojemann,et al. Quantitative Dendritic and Spine Analyses of Speech Cortices: A Case Study , 1993, Brain and Language.
[121] Karl J. Friston,et al. Statistical parametric maps in functional imaging: A general linear approach , 1994 .
[122] A. Schleicher,et al. Areas 3a, 3b, and 1 of Human Primary Somatosensory Cortex 1. Microstructural Organization and Interindividual Variability , 1999, NeuroImage.
[123] Jorge Bosch,et al. Do specific EEG frequencies indicate different processes during mental calculation? , 1999, Neuroscience Letters.
[124] J C Mazziotta,et al. Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward‐transform method , 1997, Human brain mapping.
[125] A W Toga,et al. Postmortem cryosectioning as an anatomic reference for human brain mapping. , 1997, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[126] T Schormann,et al. Three‐Dimensional linear and nonlinear transformations: An integration of light microscopical and MRI data , 1998, Human brain mapping.
[127] M. Mintun,et al. Noninvasive functional brain mapping by change-distribution analysis of averaged PET images of H215O tissue activity. , 1989, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[128] M I Miller,et al. Mathematical textbook of deformable neuroanatomies. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[129] K. Zilles,et al. Object shape differences reflected by somatosensory cortical activation in human , 2000 .
[130] K. Amunts,et al. Brodmann's Areas 17 and 18 Brought into Stereotaxic Space—Where and How Variable? , 2000, NeuroImage.
[131] D. L. Collins,et al. The MINC file format: from bytes to brains , 1998, NeuroImage.
[132] D. Louis Collins,et al. Warping of a computerized 3-D atlas to match brain image volumes for quantitative neuroanatomical and functional analysis , 1991, Medical Imaging.
[133] Steven L. Wertheim. The Brain Database: A Multimedia Neuroscience Database for Research and Teaching. , 1989 .
[134] Alan C. Evans,et al. Statistical Sulcal Shape Comparisons: Application to the Detection of Genetic Encoding of the Central Sulcus Shape , 2000, NeuroImage.
[135] B. Gulyás,et al. Neuronal correlates of real and illusory contour perception: functional anatomy with PET , 1999, The European journal of neuroscience.
[136] Michael I. Miller,et al. Mapping of hyperelastic deformable templates using the finite element method , 1995, Optics & Photonics.
[137] B. Merker. Silver staining of cell bodies by means of physical development , 1983, Journal of Neuroscience Methods.