Quantitative assessment of a framework for creating anatomical brain networks via global tractography

NeuroImage

Volumn 61, Issue 4, 2012, Pages 1017-1030

  Li, Longchuan ^a   Rilling, James K ^b,c   Preuss, Todd M ^b,c   Glasser, Matthew F ^b,d   Damen, Frederick W ^a   Hu, Xiaoping ^a  

^a Emory University   (United States)

^b EMORY UNIVERSITY   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d WASHINGTON UNIVERSITY   (United States)

Author keywords

Connectivity; Diffusion; Macaque; Phantom; Transcallosal motor fibers

Indexed keywords

ADULT; ALGORITHM; ANATOMICAL VARIATION; ANIMAL TISSUE; ARTICLE; BRAIN FUNCTION; BRAIN MAPPING; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; FEMALE; GLOBAL TRACTOGRAPHY; HUMAN; HUMAN EXPERIMENT; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE PROCESSING; IN VIVO STUDY; MACACA; MALE; NEUROIMAGING; NONHUMAN; NORMAL HUMAN; PHANTOM; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

ALGORITHMS; ANIMALS; BRAIN; BRAIN MAPPING; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACACA; NEURAL PATHWAYS;

EID: 84861330561     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.03.071     Document Type: Article

References (58)

1. Alexander A.L., Tsuruda J.S., Parker D.L. Elimination of eddy current artifacts in diffusion-weighted echo-planar images: the use of bipolar gradients. Magn. Reson. Med. 1997, 38:1016-1021.
2. Andersson J.L., Skare S., Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage 2003, 20:870-888.
3. Assaf Y., Blumenfeld-Katzir T., Yovel Y., Basser P.J. AxCaliber: a method for measuring axon diameter distribution from diffusion MRI. Magn. Reson. Med. 2008, 59:1347-1354.
4. Basser P.J. Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed. 1995, 8:333-344.
5. Basser P.J., Mattiello J., LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J. Magn. Reson. B 1994, 103:247-254.
6. Basser P.J., Pajevic S., Pierpaoli C., Duda J., Aldroubi A. In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 2000, 44:625-632.
7. Behrens T.E., Berg H.J., Jbabdi S., Rushworth M.F., Woolrich M.W. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?. Neuroimage 2007, 34:144-155.
8. Behrens T.E., Johansen-Berg H., Woolrich M.W., Smith S.M., Wheeler-Kingshott C.A., Boulby P.A., Barker G.J., Sillery E.L., Sheehan K., Ciccarelli O., Thompson A.J., Brady J.M., Matthews P.M. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. Nat. Neurosci. 2003, 6:750-757.
9. 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.
10. Biswal B., Yetkin F.Z., Haughton V.M., Hyde J.S. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 1995, 34:537-541.
11. Burgel U., Amunts K., Hoemke L., Mohlberg H., Gilsbach J.M., Zilles K. White matter fiber tracts of the human brain: three-dimensional mapping at microscopic resolution, topography and intersubject variability. Neuroimage 2006, 29:1092-1105.
12. Catani M., Thiebaut de Schotten M. A diffusion tensor imaging tractography atlas for virtual in vivo dissections. Cortex 2008, 44:1105-1132.
13. Clarke S., Riahi-Arya S., Tardif E., Eskenasy A.C., Probst A. Thalamic projections of the fusiform gyrus in man. Eur. J. Neurosci. 1999, 11:1835-1838.
14. Crick F., Jones E. Backwardness of human neuroanatomy. Nature 1993, 361:109-110.
15. Di Virgilio G., Clarke S., Pizzolato G., Schaffner T. Cortical regions contributing to the anterior commissure in man. Exp. Brain Res. 1999, 124:1-7.
16. Fang P.C., Stepniewska I., Kaas J.H. Corpus callosum connections of subdivisions of motor and premotor cortex, and frontal eye field in a prosimian primate, Otolemur garnetti. J. Comp. Neurol. 2008, 508:565-578.
17. Felleman D.J., Van Essen D.C. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1991, 1:1-47.
18. Fillard P., Descoteaux M., Goh A., Gouttard S., Jeurissen B., Malcolm J., Ramirez-Manzanares A., Reisert M., Sakaie K., Tensaouti F., Yo T., Mangin J.F., Poupon C. Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom. Neuroimage 2011, 56:220-234.
19. Fillard P., Poupon C., Mangin J.F. A novel global tractography algorithm based on an adaptive spin glass model. Med. Image Comput. Comput. Assist. Interv. 2009, 12:927-934.
20. Gong G., He Y., Concha L., Lebel C., Gross D.W., Evans A.C., Beaulieu C. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cereb. Cortex 2009, 19:524-536.
21. Gong G., Rosa-Neto P., Carbonell F., Chen Z.J., He Y., Evans A.C. Age- and gender-related differences in the cortical anatomical network. J. Neurosci. 2009, 29:15684-15693.
22. Gould H.J., Cusick C.G., Pons T.P., Kaas J.H. The relationship of corpus callosum connections to electrical stimulation maps of motor, supplementary motor, and the frontal eye fields in owl monkeys. J. Comp. Neurol. 1986, 247:297-325.
23. Greicius M.D., Krasnow B., Reiss A.L., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. U. S. A. 2003, 100:253-258.
24. Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C.J., Wedeen V.J., Sporns O. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008, 6:e159.
25. Honey C.J., Sporns O., Cammoun L., Gigandet X., Thiran J.P., Meuli R., Hagmann P. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:2035-2040.
26. Iturria-Medina Y., Perez Fernandez A., Morris D.M., Canales-Rodriguez E.J., Haroon H.A., Garcia Penton L., Augath M., Galan Garcia L., Logothetis N., Parker G.J., Melie-Garcia L. Brain hemispheric structural efficiency and interconnectivity rightward asymmetry in human and nonhuman primates. Cereb. Cortex 2011, 21:56-67.
27. Jbabdi S., Woolrich M.W., Andersson J.L., Behrens T.E. A Bayesian framework for global tractography. Neuroimage 2007, 37:116-129.
28. Jones K.D. Challenges and limitations of quantifying connectivity in the human brain in vivo with diffusion mri. Imaging Med 2010, 2:341-355.
29. Jouve B., Rosenstiehl P., Imbert M. A mathematical approach to the connectivity between the cortical visual areas of the macaque monkey. Cereb. Cortex 1998, 8:28-39.
30. Kaiser M. A tutorial in connectome analysis: topological and spatial features of brain networks. Neuroimage 2011, 57:892-907.
31. Kim S.G., Ashe J., Hendrich K., Ellermann J.M., Merkle H., Ugurbil K., Georgopoulos A.P. Functional magnetic resonance imaging of motor cortex: hemispheric asymmetry and handedness. Science 1993, 261:615-617.
32. Kreher B.W., Mader I., Kiselev V.G. Gibbs tracking: a novel approach for the reconstruction of neuronal pathways. Magn. Reson. Med. 2008, 60:953-963.
33. Lewis J.W., Van Essen D.C. Corticocortical connections of visual, sensorimotor, and multimodal processing areas in the parietal lobe of the macaque monkey. J. Comp. Neurol. 2000, 428:112-137.
34. Li L., Rilling J.K., Preuss T.M., Glasser M.F., Hu X. The effects of connection reconstruction method on the interregional connectivity of brain networks via diffusion tractography. Hum. Brain Mapp. 2011, 10.1002/hbm.21332.
35. Li Y., Liu Y., Li J., Qin W., Li K., Yu C., Jiang T. Brain anatomical network and intelligence. PLoS Comput. Biol. 2009, 5:e1000395.
36. Lotze M., Erb M., Flor H., Huelsmann E., Godde B., Grodd W. fMRI evaluation of somatotopic representation in human primary motor cortex. Neuroimage 2000, 11:473-481.
37. Mangin J.F., Poupon C., Cointepas Y., Riviere D., Papadopoulos-Orfanos D., Clark C.A., Regis J., Le Bihan D. A framework based on spin glass models for the inference of anatomical connectivity from diffusion-weighted MR data - a technical review. NMR Biomed. 2002, 15:481-492.
38. Markov N.T., Misery P., Falchier A., Lamy C., Vezoli J., Quilodran R., Gariel M.A., Giroud P., Ercsey-Ravasz M., Pilaz L.J., Huissoud C., Barone P., Dehay C., Toroczkai Z., Van Essen D.C., Kennedy H., Knoblauch K. Weight consistency specifies regularities of macaque cortical networks. Cereb. Cortex 2011, 21:1254-1272.
39. Mori S., Crain B.J., Chacko V.P., van Zijl P.C. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann. Neurol. 1999, 45:265-269.
40. Mori S., Kaufmann W.E., Davatzikos C., Stieltjes B., Amodei L., Fredericksen K., Pearlson G.D., Melhem E.R., Solaiyappan M., Raymond G.V., Moser H.W., van Zijl P.C. Imaging cortical association tracts in the human brain using diffusion-tensor-based axonal tracking. Magn. Reson. Med. 2002, 47:215-223.
41. Newman M.E. Modularity and community structure in networks. Proc. Natl. Acad. Sci. U. S. A. 2006, 103:8577-8582.
42. Pandya D.N., Vignolo L.A. Intra- and interhemispheric projections of the precentral, premotor and arcuate areas in the rhesus monkey. Brain Res. 1971, 26:217-233.
43. Parkes L.M., Haroon H.A., Augarth M., Logothetis N.K., Parker G.J. High Resolution Tractography in Macaque Visual System - Validation against In Vivo Tracing 2010, International Society of Magnetic Resonance in Medicine, Stockholm, Sweden.
44. Reisert M., Mader I., Anastasopoulos C., Weigel M., Schnell S., Kiselev V. Global fiber reconstruction becomes practical. Neuroimage 2011, 54:955-962.
45. Rilling J.K., Glasser M.F., Preuss T.M., Ma X., Zhao T., Hu X., Behrens T.E. The evolution of the arcuate fasciculus revealed with comparative DTI. Nat. Neurosci. 2008, 11:426-428.
46. Rouiller E.M., Babalian A., Kazennikov O., Moret V., Yu X.H., Wiesendanger M. Transcallosal connections of the distal forelimb representations of the primary and supplementary motor cortical areas in macaque monkeys. Exp. Brain Res. 1994, 102:227-243.
47. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 2010, 52:1059-1069.
48. Schmahmann J.D., Pandya D.N. Fiber Pathways of the Brain 2006, Oxford University Press, Oxford; New York.
49. Shu N., Liu Y., Li J., Li Y., Yu C., Jiang T. Altered anatomical network in early blindness revealed by diffusion tensor tractography. PLoS One 2009, 4:e7228.
50. Smith M.S., Brady J.M. SUSAN - a new approach to low level image processing. Int. J. Comput. Vis. 1997, 23:45-78.
51. Smith S.M. Fast robust automated brain extraction. Hum. Brain Mapp. 2002, 17:143-155.
52. Sporns O., Tononi G., Kotter R. The human connectome: a structural description of the human brain. PLoS Comput. Biol. 2005, 1:e42.
53. 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.
54. Tuch D.S. Q-ball imaging. Magn. Reson. Med. 2004, 52:1358-1372.
55. 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.
56. Wig G.S., Schlaggar B.L., Petersen S.E. Concepts and principles in the analysis of brain networks. Ann. N. Y. Acad. Sci. 2011, 1224:126-146.
57. Young M.P. The organization of neural systems in the primate cerebral cortex. Proc. Biol. Sci. 1993, 252:13-18.
58. Zhang Y., Brady M., Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans. Med. Imaging 2001, 20:45-57.