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Quantitative Architectural Analysis: A New Approach to Cortical Mapping

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Abstract

Results from functional imaging studies are often still interpreted using the classical architectonic brain maps of Brodmann and his successors. One obvious weakness in traditional, architectural mapping is the subjective nature of localizing borders between cortical areas by means of a purely visual, microscopical examination of histological specimens. To overcome this limitation, objective mapping procedures based on quantitative cytoarchitecture have been generated. As a result, new maps for various species including man were established. In our contribution, principles of quantitative cytoarchitecture and algorithm-based cortical mapping are described for a cytoarchitectural parcellation of the human auditory cortex. Defining cortical borders based on quantified changes in cortical lamination is the decisive step towards a novel, highly improved probabilistic brain atlas.

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References

  • Adhami, H. (1973). Die photometrische Bestimmung des Cortexzell- und Graugehalts auf der Grundlage des Nissl-Bildes. Acta anatomica, 84(60), 1–52.

    Google Scholar 

  • Amunts, K., Malicovic, A., Mohlberg, H., Schormann, T., & Zilles, K. (2000). Brodmann’s areas 17 and 18 brought into stereotactic space–where and how variable? NeuroImage, 11, 66–84.

    Article  PubMed  Google Scholar 

  • Amunts, K., Schlaug, G., Schleicher, A., Steinmetz, H., Dabringhaus, A., Roland, P. E., et al. (1996). Asymmetry in the human motor cortex and handedness. NeuroImage, 4, 216–222.

    Article  PubMed  Google Scholar 

  • Amunts, K., Schleicher, A., Bürgel, U., Mohlberg, H., Uylings, H. B. M., & Zilles, K. (1999). Broca’s region revisited: Cytoarchitecture and intersubject variability. Journal of Comparative Neurology, 412, 319–341.

    Article  PubMed  Google Scholar 

  • Amunts, K., Schleicher, A., & Zilles, K. (1997a). Persistence of layer IV in the primary motor cortex (area 4) of children with cerebral palsy. Journal of Brain Research, 38, 247–260.

    PubMed  Google Scholar 

  • Amunts, K., Schleicher, A., & Zilles, K. (2002). Architectonic mapping of the human cerebral cortex. In A. Schüz & R. Miller (Eds.), Cortical areas: Unity and diversity (pp. 29–52). New York: Taylor & Francis.

    Google Scholar 

  • Amunts, K., Schleicher, A., & Zilles, K. (2007). Cytoarchitecture of the cerebral cortex–more than localization. NeuroImage, 37, 1061–1065.

    Article  PubMed  Google Scholar 

  • Amunts, K., Schmidt-Passos, F., Schleicher, A., & Zilles, K. (1997b). Postnatal development of interhemispheric asymmetry in the cytoarchitecture of human area 4. Anatomy and Embryology, 196, 393–402.

    Article  PubMed  Google Scholar 

  • Amunts, K., Weiss, P. H., Mohlberg, H., Pieperhoff, P., Eickhoff, S., Gurd, J. M., et al. (2004). Analysis of neural mechanisms underlying verbal fluency in cytoarchitectonically defined stereotaxic space–the roles of Brodmann areas 44 and 45. NeuroImage, 22, 42–56.

    Article  PubMed  Google Scholar 

  • Amunts, K., & Zilles, K. (2006). Atlases of the human brain: Tools for functional neuroimaging. In L. Zaborsky, F. G. Wouterlood, & J. L. Lanciego (Eds.), Neuroanatomical tract tracing 3: Molecules, neurons, and systems (pp. 566–603). New York: Springer.

    Chapter  Google Scholar 

  • Annese, J., Pitiota, A., Dinova, I. D., & Toga, A. W. (2004). A myelo-architectonic method for the structural classification of cortical areas. NeuroImage, 21, 15–26.

    Article  PubMed  Google Scholar 

  • Armstrong, E., Zilles, K., Schlaug, G., & Schleicher, A. (1986). Comparative aspects of the primate posterior cingulate cortex. Journal of Comparative Neurology, 253, 539–548.

    Article  PubMed  Google Scholar 

  • Bartels, P. H. (1979). Numerical evaluation of cytologic data II. Comparison of profiles. Analytical and quantitative cytology, 1, 77–83.

    PubMed  Google Scholar 

  • Bok, S. T., & van Kip, M. J. E. (1939). The size of the body and the size and the number of the nerve cells in the cerebral cortex. Acta Ned Morphology, 3, 1–22.

    Google Scholar 

  • Brodmann, K. (1909). Vergleichende Lokalisationslehre der Großhirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues. Leipzig: J.A. Barth.

    Google Scholar 

  • Burwell, R. D. (2001). Borders and cytoarchitecture of the perirhinal and postrhinal cortices in the rat. Journal of Comparative Neurology, 437, 17–41.

    Article  PubMed  Google Scholar 

  • Buxhoeveden, D. P., & Casanova, M. F. (2002). The minicolumn and evolution of the brain. Brain, Behavior and Evolution, 60, 125–151.

    Article  PubMed  Google Scholar 

  • Buxhoeveden, D. P., Switala, A. E., Roy, E., & Casanova, M. F. (2000). Quantitative analysis of cell columns in the cerebral cortex. Journal of Neuroscience Methods, 97, 7–17.

    Article  PubMed  Google Scholar 

  • Casanova, M. F., Buxhoeveden, D. P., Switala, A. E., & Roy, E. (2002). Neuronal density and architecture (gray level index) in the brains of autistic patients. Journal of Child Neurology, 17, 515–521.

    Article  PubMed  Google Scholar 

  • Casanova, M. F., & Switala, A. E. (2005). Minicolumnar morphometry: Computerized image analysis. In M. F. Casanova (Ed.), Neocortical modularity and the cell minicolumn (pp. 161–179). New York: Nova Science Publishers.

    Google Scholar 

  • Casanova, M. F., Trippe, J., & Switala, A. (2007). A temporal continuity to the vertical organization of the human neocortex. Cerebral Cortex, 17, 130–137.

    Article  PubMed  Google Scholar 

  • Casanova, M. F., van Kooten, I. A., Switala, A. E., van Engeland, H., Heinsen, H., Steinbusch, H. W., et al. (2006). Minicolumnar abnormalities in autism. Acta Neuropathologica, 112, 287–303.

    Article  PubMed  Google Scholar 

  • Caspers, S., Geyer, S., Schleicher, A., Mohlberg, H., Amunts, K., & Zilles, K. (2006). The human inferior parietal cortex: Cytoarchitectonic parcellation and interindividual variability. NeuroImage, 33, 430–448.

    Article  PubMed  Google Scholar 

  • Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994). Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. Journal of Computer Assisted Tomography, 18, 192–205.

    Article  PubMed  Google Scholar 

  • de Vos, K., Pool, C. W., Sanz-Arigita, E. J., & Uylings, H. B. M. (2004). Curvature effects in observer independent cytoarchitectonic mapping of the human cerebral cortex. Research Center Jülich, Germany: Proceedings of the Second Vogt-Brodmann Symposium. 44.

    Google Scholar 

  • Eickhoff, S. B., Schleicher, A., Zilles, K., & Amunts, K. (2006). The human parietal operculum. I. Cytoarchitectonic mapping of subdivisions. Cerebral cortex, 16, 254–267.

    Article  PubMed  Google Scholar 

  • Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., et al. (2005). A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. NeuroImage, 25, 1325–1335.

    Article  PubMed  Google Scholar 

  • Geyer, S., Ledberg, A., Schleicher, A., Kinomura, S., Schormann, T., Bürgel, U., et al. (1996). Two different areas within the primary motor cortex of man. Nature, 382, 805–807.

    Article  PubMed  Google Scholar 

  • Geyer, S., Schleicher, A., & Zilles, K. (1999). Areas 3a, 3b, and 1 of human primary somatosensory cortex. 1. Microstructural organization and interindividual variability. NeuroImage, 10(6), 3–83.

    Google Scholar 

  • Geyer, S., & Zilles, K. (2005). Functional neuroanatomy of human motor cortex. In H.-J. Freund, M. Jeannerod, M. Hallett, & R. Leiguarda (Eds.), Higher-order motor disorders (pp. 3–22). Oxford: Oxford University Press.

    Google Scholar 

  • Gundersen, H. J. G., Bendtsen, T. F., Korbo, L., Marcussen, N., Moeller, A., Nielsen, K., et al. (1988). Some new, simple and efficient stereological methods and their use in pathological research and diagnosis. APMIS, 96, 379–394.

    Article  PubMed  Google Scholar 

  • Hackett, T. A., Preuss, T. M., & Kaas, J. H. (2001). Architectonic identification of the core region in auditory cortex of macaques, chimpanzees, and humans. Journal of Comparative Neurology, 441, 197–222.

    Article  PubMed  Google Scholar 

  • Haug, H. (1956). Remarks on the determination and significance of the gray cell coefficient. Journal of Comparative Neurology, 104, 473–492.

    Article  PubMed  Google Scholar 

  • Haug, H. (1980). The significance of quantitative stereologic experimental procedures in pathology. Pathology, Research and Practice, 166, 144–164.

    PubMed  Google Scholar 

  • Haug, H. (1981). On the proper use of point-counting and semiautomatic procedures in stereology. Microscopica Acta, 85, 141–152.

    PubMed  Google Scholar 

  • Holmes, C. J., Hoge, R., Collins, L., Woods, R., Toga, A. W., & Evans, A. C. (1998). Enhancement of MR images using registration for signal averaging. Journal of Computer Assisted Tomography, 22, 324–333.

    Article  PubMed  Google Scholar 

  • Hopf, A. (1968a). Photometric studies on the myeloarchitecture of the human temporal lobe. Journal fur Hirnforschung, 10, 285–297.

    PubMed  Google Scholar 

  • Hopf, A. (1968b). Registration of the myeloarchitecture of the human frontal lobe with an extinction method. Journal fur Hirnforschung, 10, 259–269.

    PubMed  Google Scholar 

  • Howard, C. V., & Reed, M. G. (1998). Unbiased stereology. Three dimensional measurement in microscopy. Oxford: BIOS Scientific.

    Google Scholar 

  • Hudspeth, A. J., Ruark, J. E., & Kelly, J. P. (1976). Cytoarchitectonic mapping by microdensitometry. Proceedings of the National Academy of Sciences of the United States of America, 73, 2928–2931.

    Article  PubMed  Google Scholar 

  • Jones, S. E., Buchbinder, B. R., & Aharon, I. (2000). Three-dimensional mapping of cortical thickness using Laplace’s equation. Human Brain Mapping, 11, 12–32.

    Article  PubMed  Google Scholar 

  • Kawasaki, Y., Schleicher, A., Falkai, P., Bogerts, B., & Zilles, K. (1997). Neuropathological postmortem investigation pf prefrontal cortex in schizophrenia. Biological Psychiatry, 42, 168.

    Google Scholar 

  • Kawasaki, Y., Vogeley, K., Jung, V., Tepest, R., Hütte, H., Schleicher, A., et al. (2000). Automated image analysis of distributed cytoarchitecture in Brodmann Area 10 in schizophrenia: A post-mortem study. Progress in Neuro-psychopharmacology & Biological Psychiatry, 24, 1093–1104.

    Article  Google Scholar 

  • Kretschmann, H. J., Tafesse, U., & Herrmann, A. (1982). Different volume changes of cerebral cortex and white matter during histological preparation. Microscopica Acta, 86, 14–24.

    Google Scholar 

  • Kruggel, F., Bruckner, M. K., Arendt, T., Wiggins, C. J., & von Cramon, D. Y. (2003). Analyzing the neocortical fine-structure. Medical Image Analysis, 7, 251–264.

    Article  PubMed  Google Scholar 

  • Lübke, J., & Feldmeyer, D. (2007). Excitatory signal flow and connectivity in a cortical column: Focus on barrel cortex. Brain Structure & Function, 212, 3–17.

    Article  Google Scholar 

  • Luppino, G., Matelli, M., Camarda, R. M., Gallese, V., & Rizzolatti, G. (1991). Multiple representations of body movements in mesial area 6 and the adjacent cingulate cortex: An intracortical microstimulation study in the macaque monkey. Journal of Comparative Neurology, 311, 463–482.

    Article  PubMed  Google Scholar 

  • Malikovic, A., Amunts, K., Schleicher, A., Mohlberg, H., Eickhoff, S. B., Wilms, M., et al. (2007). Cytoarchitectonic analysis of the human extrastriate cortex in the region of V5/MT+: A probabilistic, stereotaxic map of area hOc5. Cerebral Cortex, 17, 562–574.

    Article  PubMed  Google Scholar 

  • Merker, B. (1983). Silver staining of cell bodies by means of physical development. Journal of Neuroscience Methods, 9, 235–241.

    Article  PubMed  Google Scholar 

  • Morosan, P., Rademacher, J., Schleicher, A., Amunts, K., Schormann, T., & Zilles, K. (2001). Human primary auditory cortex: Cytoarchitectonic subdivisions and mapping into a spatial reference system. NeuroImage, 13, 684–701.

    Article  PubMed  Google Scholar 

  • Morosan, P., Schleicher, A., Amunts, K., & Zilles, K. (2005). Multimodal architectonic mapping of human superior temporal gyrus. Anatomy and Embryology, 210, 401–406.

    Article  PubMed  Google Scholar 

  • Mountcastle, V. B. (1978). An organizing principle for cerebral function: The unit module and the distributed system. In G. M. Edelmann & V. B. Mountcastle (Eds.), The mindful brain: Cortical organization and the group-selective theory of higher brain function (pp. 7–51). Cambridge: MIT.

    Google Scholar 

  • Nelissen, K., Luppino, G., Vanduffel, W., Rizzolatti, G., & Orban, G. A. (2005). Observing others: Multiple action representation in the frontal lobe. Science, 310, 332–366.

    Article  PubMed  Google Scholar 

  • Palomero-Gallagher, N., Mohlberg, H., Zilles, K., & Vogt, B. (2008). Cytology and receptor architecture of human anterior cingulate cortex. Journal of Comparative Neurology, 508, 906–926.

    Article  PubMed  Google Scholar 

  • Pitiot, A., Bardinet, E., Thompson, P. M., & Malandain, G. (2006). Piecewise affine registration of biological images for volume reconstruction. Medical Image Analysis, 10, 465–483.

    Article  PubMed  Google Scholar 

  • Rehkämper, G., Zilles, K., & Schleicher, A. (1984). A quantitative approach to cytoarchitectonics: IX. The areal pattern of the hyperstriatum ventrale in the domestic pigeon, Columba livia f.d. Anatomy and Embryology, 169, 319–327.

    Article  PubMed  Google Scholar 

  • Roesch, S., Mailly, P., Deniau, J. M., & Maurin, Y. (1996). Computer assisted three-dimensional reconstruction of brain regions from serial section digitized images. Application to the organization of striato-nigral relationships in the rat. Journal of Neuroscience Methods, 69, 197–204.

    Article  PubMed  Google Scholar 

  • Roland, P. E., & Zilles, K. (1994). Brain atlases- a new research tool. TINS, 17, 458–467.

    PubMed  Google Scholar 

  • Sarkisov, S. A., Filimonoff, I. N., & Preobrashenskaya, N. S. (1949). Cytoarchitecture of the human cortex cerebri (russ.). Moscow: Medgiz, 29, 7–308.

    Google Scholar 

  • Sauer, B. (1983a). Lamina boundaries of the human striata area compared with automatically obtained grey level index profiles. Journal fur Hirnforschung, 24, 79–87.

    PubMed  Google Scholar 

  • Sauer, B. (1983b). Semi-automatic analysis of microscopic images of the human cerebral cortex using the grey level index. Journal of Microscopy, 129, 75–87.

    PubMed  Google Scholar 

  • Schleicher, A., Amunts, K., Geyer, S., Kowalski, T., Schormann, T., Palomero-Gallagher, N., et al. (2000). A stereological approach to human cortical architecture: Identification and delineation of cortical areas. Journal of Chemical Neuroanatomy, 20, 31–47.

    Article  PubMed  Google Scholar 

  • Schleicher, A., Amunts, K., Geyer, S., Morosan, P., & Zilles, K. (1999). Observer-independent method for microstructural parcellation of cerebral cortex: A quantitative approach to cytoarchitectonics. NeuroImage, 9, 165–177.

    Article  PubMed  Google Scholar 

  • Schleicher, A., Palomero-Gallagher, N., Morosan, P., Eickhoff, S. B., Kowalski, T., de Vos, K., et al. (2005). Quantitative architectural analysis: A new approach to cortical mapping. Anatomy and Embryology, 210, 373–386.

    Article  PubMed  Google Scholar 

  • Schleicher, A., & Zilles, K. (1990). A quantitative approach to cytoarchitectonics: Analysis of structural inhomogeneities in nervous tissue using an image analyser. Journal of Microscopy, 157, 367–381.

    PubMed  Google Scholar 

  • Schleicher, A., & Zilles, K. (2005). The verticality index: A quantitative approach to the analysis of the columnar arrangement of neurons in the primate neocortex. In M. F. Casanova (Ed.), Neocortical modularity and the cell minicolumn (pp. 181–185). New York: Nova Science.

    Google Scholar 

  • Schleicher, A., Zilles, K., & Kretschmann, H. J. (1978). Automatische Registrierung und Auswertung eines Grauwertindex in histologischen Schnitten. Verhandlungen der Anatomischen Gesellschaft, 72, 413–415.

    PubMed  Google Scholar 

  • Schleicher, A., Zilles, K., & Wree, A. (1986). A quantitative approach to cytoarchitectonics: Software and hardware aspects of a system for the evaluation of structural inhomogeneities in nervous tissue. Journal of Neuroscience Methods, 18, 221–235.

    Article  PubMed  Google Scholar 

  • Schmitt, O., & Böhme, M. (2002). A robust transcortical profile scanner for generating 2-d traverses in histological sections of richly curved cortical courses. NeuroImage, 16, 1103–1119.

    Article  PubMed  Google Scholar 

  • Schmitt, O., Pakura, M., Aach, T., Hömke, L., Böhme, M., Bock, S., et al. (2004). Analysis of nerve fibers and their distribution in histologic sections of the human brain. Microscopy Research and Technique, 63, 220–243.

    Article  PubMed  Google Scholar 

  • Sherwood, C. C., Holloway, R. L., Erwin, J. M., Schleicher, A., Zilles, K., & Hof, P. R. (2004). Cortical orofacial motor representation in Old World monkeys, great apes, and humans. I. Quantitative analysis of cytoarchitecture. Brain, behavior and evolution, 63, 61–81.

    Article  PubMed  Google Scholar 

  • Süss, M., Washausen, S., Kuhn, H. J., & Knabe, W. (2002). High resolution scanning and three-dimensional reconstruction of cellular events in large objects during brain development. Journal of Neuroscience Methods, 113, 147–158.

    Article  PubMed  Google Scholar 

  • Talairach, J., & Tournoux, P. (1988). Co-planar stereotactic atlas of the human brain. 3-dimensional proportional system: An approach to the cerebral imaging. Stuttgart: Thieme.

    Google Scholar 

  • Toga, A. W., Thompson, P. M., Mori, S., Amunts, K., & Zilles, K. (2006). Towards multimodal atlases of the human brain. Nature reviews. Neuroscience, 7, 952–966.

    Article  PubMed  Google Scholar 

  • Ungerleider, L., & Mishkin, M. (1982). Two cortical visual systems. In D. G. Ingle, M. A. Goodale, & R. J. Q. Mansfield (Eds.), Analysis of visual behavior (pp. 549–586). Cambridge MA: MIT.

    Google Scholar 

  • Vogeley, K., Tepest, R., Schneider-Axmann, T., Hütte, H., Zilles, K., Honer, W. G., et al. (2003). Automated image analysis of disturbed cytoarchitecture in Brodmann area 10 in schizophrenia. Schizophrenia Research, 62, 133–140.

    Article  PubMed  Google Scholar 

  • von Economo, K., & Koskinas, G. (1925). Die Cytoarchitektonic der Hirnrinde des erwachsenen Menschen. Wien: Springer.

    Google Scholar 

  • Walters, B., Eickhoff, S. B., Schleicher, A., Zilles, K., Amunts, K., Egan, G. F., et al. (2007). Observer independent analysis of high-resolution MR images of the human cerebral cortex: In vivo delineation of cortical areas. Human Brain Mapping, 28, 1–8.

    Article  PubMed  Google Scholar 

  • Weibel, E. R. (1981). Stereological methods in cell biology: Where we are–where are we going? Journal of Histochemistry and Cytochemistry, 9, 1043–1052.

    Google Scholar 

  • Wilms, M., Eickhoff, S. B., Specht, K., Amunts, K., Shah, N. J., Malikovic, A., et al. (2005). Human V5/MT+: Comparison of functional and cytoarchitectonic data. Anatomy and Embryology, 210, 485–495.

    Article  PubMed  Google Scholar 

  • Wree, A., Schleicher, A., & Zilles, K. (1982). Estimation of volume fractions in nervous tissue with an image analyzer. Journal of Neuroscience Methods, 6, 29–43.

    Article  PubMed  Google Scholar 

  • Zilles, K., Armstrong, E., Moser, K. H., Schleicher, A., & Stephan, H. (1989). Gyrification in the cerebral cortex of primates. Brain, Behavior and Evolution, 34, 143–150.

    Article  PubMed  Google Scholar 

  • Zilles, K., Palomero-Gallagher, N., Grefkes, C., Scheperjans, F., Boy, C., Amunts, K., et al. (2002a). Architectonics of the human cerebral cortex and transmitter receptor fingerprints: Reconciling functional neuroanatomy and neurochemistry. European Neuropsychopharmacology, 12, 587–599.

    Article  PubMed  Google Scholar 

  • Zilles, K., Schleicher, A., & Kretschmann, H.-J. (1978). A quantitative approach to cytoarchitectonics: I. The areal pattern of the cortex of Tupaia belangeri. Anatomy and Embryology, 153, 195–212.

    Article  PubMed  Google Scholar 

  • Zilles, K., Schleicher, A., Palomero-Gallagher, N., & Amunts, K. (2002b). Quantitative analysis of cyto- and receptor architecture of the human brain. In A. W. Toga & J. C. Maziotta (Eds.), Brain mapping: The methods (2nd ed., pp. 573–602). Amsterdam: Academic Press.

    Google Scholar 

  • Zilles, K., Stephan, H., & Schleicher, A. (1982). Quantitative cytoarchitectonics of the cerebral cortices of several prosimian species. In E. Armstrong & D. Falk (Eds.), Primate brain evolution: Methods and concepts (pp. 177–201). New York: Plenum.

    Google Scholar 

  • Zilles, K., Zilles, B., & Schleicher, A. (1980). A quantitative approach to cytoarchitectonics VI. The areal pattern of the cortex of the albino rat. Anatomy and Embryology, 159, 335–360.

    Article  PubMed  Google Scholar 

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Acknowledgments

We thank Ursula Blohm for preparing thousands of histological whole brain sections in excellent quality. This work was supported by a grant (to K.Z.) funded by the DFG (grant KFO 112), a Human Brain Project/Neuroinformatics Research grant funded by the National Institute of Biomedical Imaging and Bioengineering, the National Institute of Neurological Disorders and Stroke, and the National Institute of Mental Health (K.A. and K.Z.). Further support by the BMBF (BMBF 01GO0104), Brain Imaging Center West (BMBF 01GO0204) is gratefully acknowledged.

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Authors and Affiliations

  1. C. and O. Vogt Institute of Brain Research, Duesseldorf University, 40225, Düsseldorf, Germany

    Axel Schleicher & Karl Zilles

  2. Institute of Neuroscience and Medicine, INM-1, Research Centre Juelich, 52425, Juelich, Germany

    Patricia Morosan & Katrin Amunts

  3. Department of Psychiatry and Psychotherapy, RWTH Aachen University, 52074, Aachen, Germany

    Katrin Amunts

  4. Juelich-Aachen Research Alliance (JARA), RWTH Aachen University, Aachen, Germany

    Katrin Amunts & Karl Zilles

  5. Institute of Neuroscience and Medicine, INM-2, Research Centre Juelich, 52425, Juelich, Germany

    Karl Zilles

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  1. Axel Schleicher
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Correspondence to Axel Schleicher.

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Schleicher, A., Morosan, P., Amunts, K. et al. Quantitative Architectural Analysis: A New Approach to Cortical Mapping. J Autism Dev Disord 39, 1568–1581 (2009). https://doi.org/10.1007/s10803-009-0790-8

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