Human cerebral cortex: A system for the integration of volume- and surface-based representations

We describe an MRI-based system for topological analysis followed by measurements of topographic features for the human cerebral cortex that takes as its starting point volumetric segmentation data. This permits interoperation between volume-based and surface-based topographic analysis and extends the functionality of many existing segmentation schemes. We demonstrate the utility of these operations in individual as well as to group analysis. The methodology integrates analyses of cortical segmentation data generated by manual and semi-automated volumetric morphometry routines (such as the program cardviews) with the procedures of the FreeSurfer program to generate a cortical ribbon of the cerebrum and perform cortical topographic measurements (including thickness, surface area and curvature) in individual subjects as well as in subject populations. This system allows the computation of topographical cortical measurements for segmentation data generated from manual and semi-automated volumetric sources other than FreeSurfer. These measurements can be regionally specific and integrated with systems of cortical parcellation that subdivides the neocortex into gyral-based parcellation units (PUs). This system of topographical analysis of the cerebral cortex is consistent with current views of cortical development and neural systems organization of the human and non-human primate brain.

[1]  D. Sholl.  The organization of the cerebral cortex , 1957 .

[2]  A. MouritzenDam.  Shrinkage of the brain during histological procedures with fixation in formaldehyde solutions of different concentrations. , 1979 .

[3]  A. Galaburda,et al.  Human Cerebral Cortex: Localization, Parcellation, and Morphometry with Magnetic Resonance Imaging , 1992, Journal of Cognitive Neuroscience.

[4]  A. Dale,et al.  High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.

[5]  David N. Kennedy,et al.  Neuroanatomical Segmentation in MRI: Technological Objectives , 1997, Int. J. Pattern Recognit. Artif. Intell..

[6]  K. Zilles.  CHAPTER 27 – Architecture of the Human Cerebral Cortex: Regional and Laminar Organization , 2004 .

[7]  Jelliffe.  Vergleichende Lokalisationslehre der Grosshirnrinde , 1910 .

[8]  P. Rakic,et al.  Neuronal migration and contact guidance in the primate telencephalon. , 1978, Postgraduate medical journal.

[9]  David N. Kennedy,et al.  MRI-Based Topographic Parcellation of Human Cerebral White Matter I. Technical Foundations , 1999, NeuroImage.

[10]  E. G. Jones,et al.  Numbers and proportions of GABA-immunoreactive neurons in different areas of monkey cerebral cortex , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[11]  P. Goldman-Rakic,et al.  Preface: Cerebral Cortex Has Come of Age , 1991 .

[12]  T. Powell,et al.  The basic uniformity in structure of the neocortex. , 1980, Brain : a journal of neurology.

[13]  E FRAUCHIGER,et al.  [COMPARATIVE NEUROLOGY]. , 1895, Der Nervenarzt.

[14]  N. Makris,et al.  MRI-Based Topographic Parcellation of Human Neocortex: An Anatomically Specified Method with Estimate of Reliability , 1996, Journal of Cognitive Neuroscience.

[15]  B. Pakkenberg,et al.  Neocortical neuron number in humans: Effect of sex and age , 1997, The Journal of comparative neurology.

[16]  Paul M. Thompson,et al.  A curvature-based approach to estimate local gyrification on the cortical surface , 2006, NeuroImage.

[17]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[18]  U Drenhaus,et al.  A method for a quantitative determination of changes in tissue volume as a result of perfusion fixation. , 1986, Anatomischer Anzeiger.

[19]  David N. Kennedy,et al.  Automated Segmentation of Brain Exterior in MR Images Driven by Empirical Procedures and Anatomical Knowledge , 1997, IPMI.

[20]  Alan C. Evans,et al.  Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification , 2005, NeuroImage.

[21]  G. Palm,et al.  Density of neurons and synapses in the cerebral cortex of the mouse , 1989, The Journal of comparative neurology.

[22]  J. Sundsten,et al.  Folding of the cerebral cortex in mammals. A scaling model. , 1984, Brain, behavior and evolution.

[23]  Anders M. Dale,et al.  Differing neuropsychological and neuroanatomical correlates of abnormal reading in early-stage semantic dementia and dementia of the Alzheimer type , 2005, Neuropsychologia.

[24]  D. Purves.  Body and Brain: A Trophic Theory of Neural Connections , 1988 .

[25]  Jeremy D. Schmahmann,et al.  MRI-based surface-assisted parcellation of human cerebellar cortex: an anatomically specified method with estimate of reliability , 2005, NeuroImage.

[26]  D. C. Essen,et al.  Modular and hierarchical organization of extrastriate visual cortex in the macaque monkey. , 1990, Cold Spring Harbor symposia on quantitative biology.

[27]  R. Woods,et al.  Cortical Thinning in Cingulate and Occipital Cortices in First Episode Schizophrenia , 2005, Biological Psychiatry.

[28]  M. Hofman.  On the evolution and geometry of the brain in mammals , 1989, Progress in Neurobiology.

[29]  D. Pandya,et al.  Corticothalamic connections of the posterior parietal cortex in the rhesus monkey , 1985, The Journal of comparative neurology.

[30]  J. Dejerine.  Anatomie des centres nerveux , 1895 .

[31]  F. O. Schmitt,et al.  The Organization of the Cerebral Cortex. , 1982 .

[32]  N. Makris,et al.  Gyri of the human neocortex: an MRI-based analysis of volume and variance. , 1998, Cerebral cortex.

[33]  T Takahashi,et al.  The Leaving or Q Fraction of the Murine Cerebral Proliferative Epithelium: A General Model of Neocortical Neuronogenesis , 1996, The Journal of Neuroscience.

[34]  R. Rosenberg,et al.  The Clinical neurosciences , 1983 .

[35]  P. Rakić.  Mode of cell migration to the superficial layers of fetal monkey neocortex , 1972, The Journal of comparative neurology.

[36]  Toshiro Kamiya,et al.  Atlas of the vertebrate brain: morphological evolution from cyclostomes to mammals, , 1972 .

[37]  Vincent A Magnotta,et al.  Cerebral cortex: a topographic segmentation method using magnetic resonance imaging , 2000, Psychiatry Research: Neuroimaging.

[39]  D. J. Felleman,et al.  Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.

[40]  M. Colonnier,et al.  A laminar analysis of the number of neurons, glia, and synapses in the visual cortex (area 17) of adult macaque monkeys , 1982, The Journal of comparative neurology.

[41]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[42]  小野 道夫,et al.  Atlas of the Cerebral Sulci , 1990 .

[43]  Eileen Luders,et al.  Gender differences in cortical complexity , 2004, Nature Neuroscience.

[44]  V. Mountcastle.  Perceptual Neuroscience: The Cerebral Cortex , 1998 .

[45]  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.

[46]  A. Toga.  Neuroimage databases: The good, the bad and the ugly , 2002, Nature Reviews Neuroscience.

[47]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[48]  Moo K. Chung,et al.  Cortical thickness analysis in autism with heat kernel smoothing , 2005, NeuroImage.

[49]  Prof. Dr. Dr. Valentino Braitenberg,et al.  Cortex: Statistics and Geometry of Neuronal Connectivity , 1998, Springer Berlin Heidelberg.

[50]  David N. Kennedy,et al.  Advanced application of magnetic resonance imaging in human brain science , 1995, Brain and Development.

[51]  J. Hobson,et al.  Dreaming and Episodic Memory: A Functional Dissociation? , 2003, Journal of Cognitive Neuroscience.

[52]  G. Paxinos,et al.  THE HUMAN NERVOUS SYSTEM , 1975 .

[53]  K. Zilles.  Architecture of the Human Cerebral Cortex , 2004 .

[54]  Alan Peters,et al.  Comparative structure and evolution of cerebral cortex , 1990 .

[55]  D. V. van Essen,et al.  Structural and Functional Analyses of Human Cerebral Cortex Using a Surface-Based Atlas , 1997, The Journal of Neuroscience.

[56]  D C Van Essen,et al.  'The surface management system' (SuMS) database: a surface-based database to aid cortical surface reconstruction, visualization and analysis. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[57]  Edgar M. Housepian.  Atlas d'anatomie stereotaxique du telencephale. , 1968 .

[58]  E. Yeterian,et al.  MRI-Based Topographic Parcellation of Human Cerebral White Matter and Nuclei II. Rationale and Applications with Systematics of Cerebral Connectivity , 1999, NeuroImage.

[59]  P. Rakic,et al.  Principles of neural cell migration , 1990, Experientia.

[60]  H A Drury,et al.  Computational methods for reconstructing and unfolding the cerebral cortex. , 1995, Cerebral cortex.

[61]  N. Makris,et al.  MRI-based brain volumetrics: emergence of a developmental brain science , 1999, Brain and Development.

[62]  P. Rakić.  Neurons in Rhesus Monkey Visual Cortex: Systematic Relation between Time of Origin and Eventual Disposition , 1974, Science.

[63]  B. Rosen,et al.  Human Cerebellum: Surface-Assisted Cortical Parcellation and Volumetry with Magnetic Resonance Imaging , 2003, Journal of Cognitive Neuroscience.

[64]  W. Welker,et al.  Why Does Cerebral Cortex Fissure and Fold ? A Review of Determinants of Gyri and Sulci , 2022 .

[65]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[66]  E. G. Jones,et al.  Modulatory Events in the Development and Evolution of Primate Neocortex , 1990 .

[67]  A. Dale,et al.  Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.

[68]  David C. Van Essen,et al.  A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex , 2005, NeuroImage.

[69]  P. Rakić.  Prenatal development of the visual system in rhesus monkey. , 1977, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[70]  R. Woods,et al.  Gender effects on cortical thickness and the influence of scaling , 2006, Human brain mapping.

[71]  P. Rakić,et al.  Role of cell interaction in development of dendritic patterns. , 1975, Advances in neurology.

[72]  A. Toga,et al.  Cortical variability and asymmetry in normal aging and Alzheimer's disease. , 1998, Cerebral cortex.

[73]  G. Bonin,et al.  The isocortex of man , 1951 .

[74]  山浦 晶.  Atlas of the Cerebral Sulci, Michio Ono, Stefan Kubik and Chad D. Abernathey著, Georg Thieme Verlag, Stuttgart, New York 1990(らいぶらりい) , 1992 .

[75]  P. Rakic.  A small step for the cell, a giant leap for mankind: a hypothesis of neocortical expansion during evolution , 1995, Trends in Neurosciences.

[76]  P. Rakic.  Specification of cerebral cortical areas. , 1988, Science.

[77]  P. Rakić,et al.  Early developmental events: cell lineages, acquisition of neuronal positions, and areal and laminar development. , 1982, Neurosciences Research Program bulletin.

[78]  D. Kennedy,et al.  The young adult human brain: an MRI-based morphometric analysis. , 1994, Cerebral cortex.

[79]  J. Sundsten,et al.  Folding of the Cerebral Cortex in Mammals , 1984 .

[80]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[81]  A. Toga,et al.  Hemispheric asymmetries in cortical thickness. , 2006, Cerebral cortex.

[82]  M. Shenton,et al.  Prefrontal cortical thickness in first-episode psychosis: a magnetic resonance imaging study , 2004, Biological Psychiatry.

[83]  Takao Takahashi,et al.  Interkinetic and Migratory Behavior of a Cohort of Neocortical Neurons Arising in the Early Embryonic Murine Cerebral Wall , 1996, The Journal of Neuroscience.