Anatomically motivated modeling of cortical laminae

NeuroImage

Volumn 93, Issue , 2014, Pages 210-220

  Waehnert, M D ^a   Dinse, J ^a,b   Weiss, M ^a   Streicher, M N ^a   Waehnert, P ^c   Geyer, S ^a   Turner, R ^a   Bazin, P L ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^b Faculty of Computer Science   (Germany)

^c MAX PLANCK INSTITUTE FOR MATHEMATICS IN THE SCIENCES   (Germany)

Author keywords

Bok; Cortical; Cytoarchitecture; High resolution MRI; Lamina; Layers; Model; Myeloarchitecture; Profiles; Volume

Indexed keywords

ARTICLE; BRAIN CORTEX; BRAIN SIZE; CADAVER; CONTROLLED STUDY; CORTICAL DEPTH; CORTICAL LAMINAE; CORTICAL THICKNESS (BRAIN); EQUIVOLUME MODEL; EX VIVO STUDY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IN VIVO STUDY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEASUREMENT; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSICAL PARAMETERS; PRIORITY JOURNAL; PROCESS DEVELOPMENT; ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; BRAIN MAPPING;

BRAIN MAPPING; CEREBRAL CORTEX; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL;

EID: 84910005004     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.03.078     Document Type: Article

References (54)

1. Acosta O., Bourgeat P., Zuluaga M.A., Fripp J., Salvado O., Ourselin S. Automated voxel-based 3D cortical thickness measurement in a combined LagrangianEulerian PDE approach using partial volume maps. Med. Image Anal. 2009, 13:730-743.
2. Annese J., Pitiot A., Dinov I.D., Toga A.W. A myelo-architectonic method for the structural classification of cortical areas. Neuroimage 2004, 21:15-26.
3. Bazin P.L., Weiss M., Dinse J., Schäfer A., Trampel R., Turner R. A computational pipeline for subject-specific, ultra-high resolution cortical analysis at 7Tesla. Proceedings of the 18th Annual Meeting of the Organization for Human Brain Mapping 2012.
4. Bok S. Der Einfluß der in den Furchen und Windungen auftretenden Krümmungen der Großhirnrinde auf die Rindenarchitektur. Z. Gesamte Neurol. Psychiatr. 1929, 12:682-750.
5. Brodmann K. Vergleichende lokalisationslehre der großhirnrinde 1909, J. A. Barth, Leipzig.
6. Cohen-Adad J., Polimeni J., Helmer K., Benner T., McNab J., Wald L., Rosen B., Mainero C. T2* mapping and B0 orientation-dependence at 7T reveal cyto- and myeloarchitecture organization of the human cortex. Neuroimage 2012, 60:1006-1014.
7. de Sousa A.A., Sherwood C.C., Schleicher A., Amunts K., MacLeod C.E., Hof P.R., Zilles K. Comparative cytoarchitectural analyses of striate and extrastriate areas in hominoids. Cereb. Cortex 2010, 20:966-981.
8. de Vos K., Pool C.W., Sanz-Arigita E.J., Uylings H.B.M. Curvature effects in observer independent cytoarchitectonic mapping of the human cerebral cortex. Proceedings of the Second Vogt-Brodmann Symposium 2004, 44. Research Center, Jülich, Germany.
9. Eickhoff S., Schleicher A., Scheperjans F., Palomero-Gallagher N., Zilles K. Analysis of neurotransmitter receptor distribution patterns in the cerebral cortex. Neuroimage 2007, 34:1317-1330.
10. Fan X., Bazin P.L., Prince J. A multicompartment segmentation framework with homeomorphic level sets. Proceedings of the Conference on Computer Vision and Pattern Recognition 2008.
11. Fatterpekar G.M., Naidich T.P., Delman B.N., Aguinaldo J.G., Gultekin S.H., Sherwood C.C., Hof P.R., Drayer B.P., Fayad Z.A. Cytoarchitecture of the human cerebral cortex: MR microscopy of excised specimens at 9.4Tesla. Am. J. Neuroradiol. 2002, 23:1313-1321.
12. Foster N.E., Zatorre R.J. Cortical structure predicts success in performing musical transformation judgments. Neuroimage 2010, 53:26-36.
13. Geuze E., Westenberg H.G., Heinecke A., de Kloet C.S., Goebel R., Vermetten E. Thinner prefrontal cortex in veterans with posttraumatic stress disorder. Neuroimage 2008, 41:675-681.
14. Geyer S., Weiss M., Reimann K., Lohmann G., Turner R. Microstructural parcellation of the human cerebral cortex - from brodmann's post-mortem map to in vivo mapping with high-field magnetic resonance imaging. Front. Hum. Neurosci. 2011, 5. (article 19, 1-7).
15. Glasser M.F., Van Essen D.C. Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI. J. Neurosci. 2011, 31:11597-11616.
16. Goense J.B., Logothetis N.K. Laminar specificity in monkey V1 using high-resolution SE-fMRI. Magn. Reson. Imaging 2006, 24(4):381-392.
17. Haidar H., Soul J.S. Measurement of cortical thickness in 3D brain MRI data: validation of the Laplacian method. J. Neuroimaging 2006, 16:146-153.
18. Han X., Xu C., Prince J.L. A topology preserving level set method for geometric deformable models. IEEE Trans. Pattern Anal. Mach. Intell. 2003, 25:755-768.
19. Han X., Pham D., Tosun D., Rettmann M., Xu C., Prince J. Cruise: cortical reconstruction using implicit surface evolution. Neuroimage 2004, 23:997-1012.
20. Hellwig B. How the myelin picture of the human cerebral cortex can be computed from cytoarchitectural data. A bridge between von economo and vogt. J. Hirnforsch. 1993, 34:387-387.
21. Hilgetag C.C., Barbas H. Role of mechanical factors in the morphology of the primate cerebral cortex. PLoS Comput. Biol. 2006, 2:e22.
22. Hurley A.C., Al-Radaideh A., Bai L., Aickelin U., Coxon R., Glover P., Gowland P.A. Tailored RF pulse for magnetization inversion at ultrahigh field. Magn. Reson. Med. 2010, 63:51-58.
23. Hutton C., De Vita E., Ashburner J., Deichmann R., Turner R. Voxel-based cortical thickness measurements in MRI. Neuroimage 2008, 40:1701.
24. Im K., Lee J.M., Lee J., Shin Y.W., Kim I.Y., Kwon J.S., Kim S.I. Gender difference analysis of cortical thickness in healthy young adults with surface-based methods. Neuroimage 2006, 31:31-38.
25. Jones S.E., Buchbinder B.R., Aharon I. Three-dimensional mapping of cortical thickness using Laplace's equation. Hum. Brain Mapp. 2000, 11:12-32.
26. Khan R., Zhang Q., Darayan S., Dhandapani S., Katyal S., Greene C., Bajaj C., Ress D. Surface-based analysis methods for high-resolution functional magnetic resonance imaging. Graph. Model. 2011, 73:313-322.
27. Kim T., Kim S. Cortical layer-dependent arterial blood volume changes: improved spatial specificity relative to BOLD fMRI. Neuroimage 2010, 49:1340-1349.
28. Koopmans P.J., Barth M., Orzada S., Norris D.G. Multi-echo fMRI of the cortical laminae in humans at 7T. Neuroimage 2011, 56:1276-1285.
29. Lucas B., Bogovic J., Carass A., Bazin P.L., Prince J., Pham D., Landman B. The java image science toolkit (jist) for rapid prototyping and publishing of neuroimaging software. Neuroinformatics 2010, 18:5-17.
30. Marques J.P., Kober T., Krueger G., van der Zwaag W., de Moortele P.F.V., Gruetter R. MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field. Neuroimage 2010, 49:1271-1281.
31. McAuliffe M., Lalonde F., McGarry D., Gandler W., Csaky K., Trus B. Medical image processing, analysis and visualization in clinical research. Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001) 2001.
32. Nagy Z., Lagercrantz H., Hutton C. Effects of preterm birth on cortical thickness measured in adolescence. Cereb. Cortex 2011, 21:300-306.
33. Olman C.A., Harel N., Feinberg D.A., He S., Zhang P., Ugurbil K., Yacoub E. Layer-specific fMRI reflects different neuronal computations at different depths in human V1. PLoS One 2012, 7:e32536.
34. Pham D., Prince J. Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans. Med. Imaging 1999, 18:737-752.
35. Polimeni J.R., Fischl B., Greve D.N., Wald L.L. Laminar analysis of 7T BOLD using an imposed spatial activation pattern in human V1. Neuroimage 2010, 52:1334-1346.
36. Polimeni J.R., Fischl B., Greve D., Wald Laminar-specific functional connectivity: distinguishing directionality in cortical networks. Proceedings of the 16th Annual Meeting of the Organization for Human Brain Mapping 2010.
37. Querbes O., Aubry F., Pariente J., Lotterie J.A., DÃmonet J.F., Duret V., Puel M., Berry I., Fort J.C., Celsis P., Initiative T.A.D.N. Early diagnosis of alzheimer's disease using cortical thickness: impact of cognitive reserve. Brain 2009, 132:2036-2047.
38. Sanchez-Panchuelo R.M., Francis S.T., Schluppeck D., Bowtell R.W. Correspondence of human visual areas identified using functional and anatomical MRI in vivo at 7T. J. Magn. Reson. Imaging 2012, 35:287-299.
39. Schleicher A., Amunts K., Geyer S., Morosan P., Zilles K. Observer-independent method for microstructural parcellation of cerebral cortex: a quantitative approach to cytoarchitectonics. Neuroimage 1999, 9:165-177.
40. Schleicher A., Palomero-Gallagher N., Morosan P., Eickhoff S., Kowalski T., Vos K., Amunts K., Zilles K. Quantitative architectural analysis: a new approach to cortical mapping. Anat. Embryol. 2005, 210:373-386.
41. Sereno M., Lutti A., Weiskopf N., Dick F. Mapping the human cortical surface by combining quantitative T1 with retinotopy. Cereb. Cortex 2012, 213:1-8.
42. Sethian J. Level Set Methods and Fast Marching Methods 1999, Cambridge University Press.
43. Smart I.H., McSherry G.M. Gyrus formation in the cerebral cortex in the ferret. I. Description of the external changes. J. Anat. 1986, 146:141-152.
44. Strenziok M., Krueger F., Heinecke A., Lenroot R.K., Knutson K.M., van der Meer E., Grafman J. Developmental effects of aggressive behavior in male adolescents assessed with structural and functional brain imaging. Soc. Cogn. Affect. Neurosci. 2011, 6:2-11.
45. Thambisetty M., Wan J., Carass A., An Y., Prince J.L., Resnick S.M. Longitudinal changes in cortical thickness associated with normal aging. Neuroimage 2010, 52:1215-1223.
46. Trampel R., Bazin P.L., Schaefer A., Heidemann R., Ivanov D., Lohmann G., Geyer S., Turner R. Laminar-specific bold fingerprints of sensorimotor areas during imagined and actual finger tapping. Proceedings of the 18th Annual Meeting of the Organization for Human Brain Mapping 2012.
47. Van Essen D.C. A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature (London) 1997, 385:313-318.
48. van Swam C., Federspiel A., Hubl D., Wiest R., Boesch C., Vermathen P., Kreis R., Strik W., Dierks T. Possible dysregulation of cortical plasticity in auditory verbal hallucinationsa cortical thickness study in schizophrenia. J. Psychiatr. Res. 2012, 46:1015-1023.
49. Vogt C., Vogt O. Allgemeinere Ergebnisse unserer Hirnforschung. Erste Mitteilung. Ziele und Wege unserer Hirnforschung. J. Psychol. Neurol. 1919, 25:278-462.
50. von Economo C., Koskinas Die Cytoarchitektonik der Hirnrinde des Erwachsenen Menschen 1925.
51. Waehnert M., Weiss M., Streicher M., Bazin P.L., Geyer S., Turner R. Do cortical layers conform to the Laplace equation?. Proceedings of the 18th Annual Meeting of the Organization for Human Brain Mapping 2012.
52. Xu G., Knutsen A., Dikranian K., Kroenke C., Bayly P., Taber L. Axons pull on the brain, but tension does not drive cortical folding. J. Biomech. Eng. 2010, 132:071013.
53. Yezzi A., Prince J. An Eulerian PDE approach for computing tissue thickness. IEEE Trans. Med. Imaging 2003, 22:1332-1339.
54. Zimmermann J., Goebel R., De Martino F., van de Moortele P.F., Feinberg D., Adriany G., Chaimow D., Shmuel A., Ugurbil K., Yacoub E. Mapping the organization of axis of motion selective features in human area MT using high-field fMRI. PLoS One 2011, 6:e28716.