Probing region-specific microstructure of human cortical areas using high angular and spatial resolution diffusion MRI

NeuroImage

Volumn 105, Issue , 2015, Pages 198-207

  Aggarwal, Manisha ^a   Nauen, David W ^a   Troncoso, Juan C ^a   Mori, Susumu ^a,b  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b KENNEDY KRIEGER INSTITUTE   (United States)

Author keywords

Cortical areas; Diffusion MRI; Gray matter; Human; Microstructure

Indexed keywords

ADULT; AGED; ANATOMICAL VARIATION; ARTICLE; BRAIN CORTEX; BRAIN MAPPING; BRODMANN AREA 9; CONTROLLED STUDY; GRAY MATTER; HIGH ANGULAR RESOLUTION DIFFUSION IMAGING; HISTOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MALE; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIMARY MOTOR CORTEX; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; SILVER IMPREGNATION; SOMATOSENSORY CORTEX; STRIATE CORTEX; CADAVER; DIFFUSION WEIGHTED IMAGING; IMAGE PROCESSING; MIDDLE AGED; PROCEDURES; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ADULT; AGED; CADAVER; CEREBRAL CORTEX; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED;

EID: 84910020025     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.10.053     Document Type: Article

References (53)

1. Aggarwal M., Mori S., Shimogori T., Blackshaw S., Zhang J. Three-dimensional diffusion tensor microimaging for anatomical characterization of the mouse brain. Magn. Reson. Med. 2010, 64:249-261.
2. Aggarwal M., Gobius I., Richards L.J., Mori S. Diffusion MR microscopy of cortical development in the mouse embryo. Cereb. Cortex 2014, 10.1093/cercor/bhu006.
3. Amunts K., Malikovic A., Mohlberg H., Schormann T., Zilles K. Brodmann's areas 17 and 18 brought into stereotaxic space-where and how variable?. Neuroimage 2000, 11:66-84.
4. Amunts K., Schleicher A., Zilles K. Architectonic mapping of the human cerebral cortex. Cortical Areas: Unity and Diversity 2002, Taylor & Francis, New York. A. Schuz, R. Miller (Eds.).
5. Anwander A., Tittgemeyer M., von Cramon D.Y., Friederici A.D., Knosche T.R. Connectivity-based parcellation of Broca's area. Cereb. Cortex 2007, 17:816-825.
6. Anwander A., Pampel A., Knosche T.R. In vivo measurement of cortical anisotropy by diffusion-weighted imaging correlates with cortex type. Proceedings of the International Society for, Magnetic Resonance in Medicine 2010, 109.
7. Augustinack J.C., Magnain C., Reuter M., van der Kouwe A.J., Boas D., Fischl B. MRI parcellation of ex vivo medial temporal lobe. Neuroimage 2014, 93(Pt 2):252-259.
8. Baillarger J. Recherches sur la structure de la couche corticale des circonvolutions du cerveau. Mem. Acad. R. Med. 1840, 8:149-183.
9. Barbier E.L., Marrett S., Danek A., Vortmeyer A., van Gelderen P., Duyn J., Bandettini P., Grafman J., Koretsky A.P. Imaging cortical anatomy by high-resolution MR at 3.0T: detection of the stripe of Gennari in visual area 17. Magn. Reson. Med. 2002, 48:735-738.
10. Basser P.J., Mattiello J., LeBihan D. MR diffusion tensor spectroscopy and imaging. Biophys. J. 1994, 66:259-267.
11. Behrens T.E., Johansen-Berg H. Relating connectional architecture to grey matter function using diffusion imaging. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2005, 360:903-911.
12. Behrens T.E., Woolrich M.W., Jenkinson M., Johansen-Berg H., Nunes R.G., Clare S., Matthews P.M., Brady J.M., Smith S.M. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn. Reson. Med. 2003, 50:1077-1088.
13. Brodmann, K., 1909. Vergleichende Lokalisationslehre der Großhirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues, Leipzig: Barth [repr: Garey, L.J. (trans., Ed.) (1994) Localization in the cerebral cortex. London: Smith-Gordon].
14. Calamante F., Tournier J.D., Jackson G.D., Connelly A. Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping. Neuroimage 2010, 53:1233-1243.
15. Dawe R.J., Bennett D.A., Schneider J.A., Vasireddi S.K., Arfanakis K. Postmortem MRI of human brain hemispheres: T2 relaxation times during formaldehyde fixation. Magn. Reson. Med. 2009, 61:810-818.
16. Dyrby T.B., Baare W.F., Alexander D.C., Jelsing J., Garde E., Sogaard L.V. An ex vivo imaging pipeline for producing high-quality and high-resolution diffusion-weighted imaging datasets. Hum. Brain Mapp. 2011, 32:544-563.
17. Eickhoff S., Walters N.B., Schleicher A., Kril J., Egan G.F., Zilles K., Watson J.D., Amunts K. High-resolution MRI reflects myeloarchitecture and cytoarchitecture of human cerebral cortex. Hum. Brain Mapp. 2005, 24:206-215.
18. Fischl B. Estimating the location of Brodmann areas from cortical folding patterns using histology and ex vivo MRI. Microstructural Parcellation of the Human Cerebral Cortex 2013, 129-156. Springer Berlin Heidelberg. S. Geyer, R. Turner (Eds.).
19. Fischl B., Dale A.M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. U. S. A. 2000, 97:11050-11055.
20. Fukunaga M., Li T.Q., van Gelderen P., de Zwart J.A., Shmueli K., Yao B., Lee J., Maric D., Aronova M.A., Zhang G., Leapman R.D., Schenck J.F., Merkle H., Duyn J.H. Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:3834-3839.
21. 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, 5:19.
22. Haroon H.A., Binney R.J., Parker G.J. Probabilistic quantification of regional cortical microstructural complexity. Proceedings of the International Society for Magnetic Resonance in Medicine 2010, 578.
23. Heidemann R.M., Porter D.A., Anwander A., Feiweier T., Heberlein K., Knosche T.R., Turner R. Diffusion imaging in humans at 7T using readout-segmented EPI and GRAPPA. Magn. Reson. Med. 2010, 64:9-14.
24. Jaermann T., De Zanche N., Staempfli P., Pruessmann K.P., Valavanis A., Boesiger P., Kollias S.S. Preliminary experience with visualization of intracortical fibers by focused high-resolution diffusion tensor imaging. AJNR Am. J. Neuroradiol. 2008, 29:146-150.
25. Jespersen S.N., Kroenke C.D., Ostergaard L., Ackerman J.J., Yablonskiy D.A. Modeling dendrite density from magnetic resonance diffusion measurements. Neuroimage 2007, 34:1473-1486.
26. Jiang H., van Zijl P.C., Kim J., Pearlson G.D., Mori S. DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Comput. Methods Programs Biomed. 2006, 81:106-116.
27. Jones D.K., Horsfield M.A., Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn. Reson. Med. 1999, 42:515-525.
28. Kim E.Y., Kim D.H., Chang J.H., Yoo E., Lee J.W., Park H.J. Triple-layer appearance of Brodmann area 4 at thin-section double inversion-recovery MR imaging. Radiology 2009, 250:515-522.
29. Kleinnijenhuis M., Zerbi V., Kusters B., Slump C.H., Barth M., van Cappellen van Walsum A.M. Layer-specific diffusion weighted imaging in human primary visual cortex in vitro. Cortex 2013, 49:2569-2582.
30. Kroenke C.D., Van Essen D.C., Inder T.E., Rees S., Bretthorst G.L., Neil J.J. Microstructural changes of the baboon cerebral cortex during gestational development reflected in magnetic resonance imaging diffusion anisotropy. J. Neurosci. 2007, 27:12506-12515.
31. Leuze C.W., Anwander A., Bazin P.L., Dhital B., Stuber C., Reimann K., Geyer S., Turner R. Layer-specific intracortical connectivity revealed with diffusion MRI. Cereb. Cortex 2014, 24:328-339.
32. McKinstry R.C., Mathur A., Miller J.H., Ozcan A., Snyder A.Z., Schefft G.L., Almli C.R., Shiran S.I., Conturo T.E., Neil J.J. Radial organization of developing preterm human cerebral cortex revealed by non-invasive water diffusion anisotropy MRI. Cereb. Cortex 2002, 12:1237-1243.
33. McNab J.A., Jbabdi S., Deoni S.C., Douaud G., Behrens T.E., Miller K.L. High resolution diffusion-weighted imaging in fixed human brain using diffusion-weighted steady state free precession. Neuroimage 2009, 46:775-785.
34. McNab J.A., Polimeni J.R., Wang R., Augustinack J.C., Fujimoto K., Stevens A., Triantafyllou C., Janssens T., Farivar R., Folkerth R.D., Vanduffel W., Wald L.L. Surface based analysis of diffusion orientation for identifying architectonic domains in the in vivo human cortex. Neuroimage 2013, 69:87-100.
35. Miller K.L., Stagg C.J., Douaud G., Jbabdi S., Smith S.M., Behrens T.E., Jenkinson M., Chance S.A., Esiri M.M., Voets N.L., Jenkinson N., Aziz T.Z., Turner M.R., Johansen-Berg H., McNab J.A. Diffusion imaging of whole, post-mortem human brains on a clinical MRI scanner. Neuroimage 2011, 57:167-181.
36. Mori S., van Zijl P.C. A motion correction scheme by twin-echo navigation for diffusion-weighted magnetic resonance imaging with multiple RF echo acquisition. Magn. Reson. Med. 1998, 40:511-516.
37. Nagy Z., Alexander D.C., Thomas D.L., Weiskopf N., Sereno M.I. Using high angular resolution diffusion imaging data to discriminate cortical regions. PLoS One 2013, 8:e63842.
38. Nieuwenhuys R. The myeloarchitectonic studies on the human cerebral cortex of the Vogt-Vogt school, and their significance for the interpretation of functional neuroimaging data. Brain Struct. Funct. 2013, 218:303-352.
39. Parker G.D., Marshall D., Rosin P.L., Drage N., Richmond S., Jones D.K. A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data. Neuroimage 2013, 65:433-448.
40. Preuss T.M., Coleman G.Q. Human-specific organization of primary visual cortex: alternating compartments of dense Cat-301 and calbindin immunoreactivity in layer 4A. Cereb. Cortex 2002, 12:671-691.
41. Reese T.G., Heid O., Weisskoff R.M., Wedeen V.J. Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Magn. Reson. Med. 2003, 49:177-182.
42. Tax C.M., Jeurissen B., Vos S.B., Viergever M.A., Leemans A. Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data. Neuroimage 2014, 86:67-80.
43. Tournier J.D., Calamante F., Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. Neuroimage 2007, 35:1459-1472.
44. Tournier J.D., Calamante F., Connelly A. MRtrix: diffusion tractography in crossing fiber regions. Int. J. Imaging Syst. Technol. 2012, 22:53-66.
45. Truong T.K., Guidon A., Song A.W. Cortical depth dependence of the diffusion anisotropy in the human cortical gray matter in vivo. PLoS One 2014, 9:e91424.
46. Tuch D.S., Reese T.G., Wiegell M.R., Makris N., Belliveau J.W., Wedeen V.J. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn. Reson. Med. 2002, 48:577-582.
47. Vogt C., Vogt O. Allgemeinere Ergebnisse unserer Hirnforschung. J. Psychol. Neurol. 1919, 25:292-398.
48. Waehnert M.D., Dinse J., Weiss M., Streicher M.N., Waehnert P., Geyer S., Turner R., Bazin P.L. Anatomically motivated modeling of cortical laminae. Neuroimage 2014, 93(Pt 2):210-220.
49. Wedeen V.J., Hagmann P., Tseng W.Y., Reese T.G., Weisskoff R.M. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn. Reson. Med. 2005, 54:1377-1386.
50. White L.E., Andrews T.J., Hulette C., Richards A., Groelle M., Paydarfar J., Purves D. Structure of the human sensorimotor system. I: Morphology and cytoarchitecture of the central sulcus. Cereb. Cortex 1997, 7:18-30.
51. Yamamoto T., Hirano A. A comparative study of modified Bielschowsky, Bodian and thioflavin S stains on Alzheimer's neurofibrillary tangles. Neuropathol. Appl. Neurobiol. 1986, 12:3-9.
52. Zhang H., Schneider T., Wheeler-Kingshott C.A., Alexander D.C. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 2012, 61:1000-1016.
53. Zilles K., Amunts K. Architecture of the cerebral cortex. The Human Nervous System 2012, 836-895. Academic Press, San Diego. J.K. Mai, G. Paxinos (Eds.).