Track-weighted functional connectivity (TW-FC): A tool for characterizing the structural-functional connections in the brain

NeuroImage

Volumn 70, Issue , 2013, Pages 199-210

  Calamante, Fernando ^a,b   Masterton, Richard A J ^a   Tournier, Jacques Donald ^a,b   Smith, Robert E ^a,b   Willats, Lisa ^a   Raffelt, David ^a   Connelly, Alan ^a,b  

^a FLOREY INSTITUTE OF NEUROSCIENCE AND MENTAL HEALTH   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

BOLD; Brain networks; Diffusion MRI; Fibre tracking; Functional connectivity; Structural connectivity

Indexed keywords

ARTICLE; ATTENTION NETWORK; BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; CORPUS CALLOSUM; DEFAULT MODE NETWORK; FRONTAL CORTEX; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; NERVE CELL NETWORK; NEUROIMAGING; NEUROLOGIC EXAMINATION; NEUROTRANSMISSION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTERIOR CINGULATE; PRECUNEUS; PRIORITY JOURNAL; PYRAMIDAL TRACT; SENSORIMOTOR NETWORK; TRACK WEIGHTED IMAGING; VISUAL NETWORK; VOXEL BASED MORPHOMETRY;

BRAIN; BRAIN MAPPING; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS;

EID: 84872541885     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.12.054     Document Type: Article

References (66)

1. Andersson J.L.R., 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.
2. Ashburner J., Friston K.J. Voxel-based morphometry: the methods. Neuroimage 2000, 11:805-821.
3. Basser P.J. Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed. 1995, 8:333-344.
4. Beckmann C.F., Smith S.M. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans. Med. Imaging 2004, 23:137-152.
5. Behrens T., 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.
6. 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.
7. Biswal B.B., Mennes M., Zuo X.N., Gohel S., Kelly C., Smith S.M., Beckmann C.F., Adelstein J.S., Buckner R.L., Colcombe S., Dogonowski A.M., Ernst M., Fair D., Hampson M., Hoptman M.J., Hyde J.S., Kiviniemi V.J., Kotter R., Li S.J., Lin C.P., Lowe M.J., Mackay C., Madden D.J., Madsen K.H., Margulies D.S., Maybergm H.S., McMahon K., Monk C.S., Mostofsky S.H., Nagel B.J., Pekar J.J., Peltier S.J., Petersen S.E., Riedl V., Rombouts S.A.R.B., Rypma B., Schlaggar B.L., Schmidt S., Seidler R.D., Siegle G.J., Sorg C., Teng G.J., Veijola J., Villringer A., Walter M., Wang L.H., Weng X.C., Whitfield-Gabrieli S., Williamson P., Windischberger C., Zang Y.F., Zhang H.Y., Castellanos F.X., Milham M.P. Toward discovery science of human brain function. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:4734-4739.
8. Bowman F.D., Zhang L., Derado G., Chen S. Determining functional connectivity using fMRI data with diffusion-based anatomical weighting. Neuroimage 2012, 62:1769-1779.
9. Cabral J., Hugues E., Kringelbach M.L., Deco G. Modeling the outcome of structural disconnection on resting-state functional connectivity. Neuroimage 2012, 62:1342-1353.
10. 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.
11. Calamante F., Tournier J.-D., Heidemann R.M., Anwander A., Jackson G.D., Connelly A. Track density imaging (TDI): validation of super-resolution property. Neuroimage 2011, 56:1259-1266.
12. Calamante F., Tournier J.-D., Smith R.E., Connelly A. A generalised framework for super-resolution track-weighted imaging. Neuroimage 2012, 59:2494-2503.
13. Calamante F., Tournier J.-D., Kurniawan N.D., Yang Z., Gyengesi E., Galloway G.J., Reutens D.C., Connelly A. Super-resolution track-density imaging studies of mouse brain: comparison to histology. Neuroimage 2012, 59:286-296.
14. Calamante F., Oh S.H., Tournier J.D., Park S.Y., Son Y.D., Chung J.Y., Chi J.G., Jackson G.D., Park C.W., Kim Y.B., Connelly A., Cho Z.H. Super-resolution track-density imaging of thalamic substructures: comparison with high-resolution anatomical magnetic resonance imaging at 7.0 T. Hum. Brain Mapp. 2012, 10.1002/hbm.22083.
15. Chuang K.H., van Gelderen P., Merkle H., Bodurka J., Ikonomidou V.N., Koretsky A.P., Duyn J.H., Talagala S.L. Mapping resting-state functional connectivity using perfusion MRI. Neuroimage 2008, 40:1595-1605.
16. Damoiseaux J.S., Greicius M.D. Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity. Brain Struct. Funct. 2009, 213:525-533.
17. Damoiseaux J.S., Rombouts S.A., Barkhof F., Scheltens P., Stam C.J., Smith S.M., Beckmann C.F. Consistent resting-state networks across healthy subjects. Proc. Natl. Acad. Sci. U. S. A. 2006, 103:13848-13853.
18. Fernández-Espejo D., Soddu A., Cruse D., Palacios E.M., Junque C., Vanhaudenhuyse A., Rivas E., Newcombe V., Menon D., Pickard J., Laureys S., Owen A.M. A role for the default mode network in the bases of disorders of consciousness. Ann. Neurol. 2012, (Accepted article). 10.1002/ana.23635.
19. Filippini N., MacIntosh B.J., Hough M.G., Goodwin G.M., Frisoni G.B., Smith S.M., Matthews P.M., Beckmann C.F., Mackay C.E. Distinct patterns of brain activity in young carriers of the APOE-epsilon4 allele. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:7209-7214.
20. Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., Van Essen D.C., Raichle M.E. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U. S. A. 2005, 102:9673-9678.
21. Greicius M.D., Supekar K., Menon V., Dougherty R.F. Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb. Cortex 2009, 19:72-78.
22. 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.
23. Hagmann P., Cammoun L., Gigandet X., Gerhard S., Grant P.E., Wedeen V., Meuli R., Thiran J.P., Honey C.J., Sporns O. MR connectomics: principles and challenges. J. Neurosci. Methods 2010, 15(194):34-45.
24. Hagmann P., Sporns O., Madan N., Cammoun L., Pienaar R., Wedeen V.J., Meuli R., Thiran J.P., Grant P.E. White matter maturation reshapes structural connectivity in the late developing human brain. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:19067-19072.
25. Holland D., Kuperman J.M., Dale A.M. Efficient correction of inhomogeneous static magnetic field-induced distortion in Echo Planar Imaging. Neuroimage 2010, 50:175-183.
26. 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.
27. Irfanoglu M.O., Walker L., Sarlls J., Marenco S., Pierpaoli C. Effects of image distortions originating from susceptibility variations and concomitant fields on diffusion MRI tractography results. Neuroimage 2012, 61:275-288.
28. 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. 2012, 33:1894-1913.
29. Liang X., Tournier J.-D., Masterton R., Connelly A., Calamante F. A k-space sharing 3D GRASE pseudocontinuous ASL method for whole-brain resting-state functional connectivity. Int. J. Imaging Syst. Technol. 2012, 22:37-43.
30. Liao W., Zhang Z., Pan Z., Mantini D., Ding J., Duan X., Luo C., Wang Z., Tan Q., Lu G., Chen H. Default mode network abnormalities in mesial temporal lobe epilepsy: a study combining fMRI and DTI. Hum. Brain Mapp. 2011, 32:883-895.
31. Liu H., Fan G., Xu K., Wang F. Changes in cerebellar functional connectivity and anatomical connectivity in schizophrenia: a combined resting-state functional MRI and diffusion tensor imaging study. J. Magn. Reson. Imaging 2011, 34:1430-1438.
32. Magnuson M., Majeed W., Keilholz S.D. Functional connectivity in blood oxygenation level-dependent and cerebral blood volume-weighted resting state functional magnetic resonance imaging in the rat brain. J. Magn. Reson. Imaging 2010, 32:584-592.
33. Masterton R.A., Carney P.W., Jackson G.D. Cortical and thalamic resting-state functional connectivity is altered in childhood absence epilepsy. Epilepsy Res. 2012, 99:327-334.
34. Mori S., van Zijl P.C. Fiber tracking: principles and strategies - a technical review. NMR Biomed. 2002, 15:468-480.
35. Murphy K., Birn R.M., Handwerker D.A., Jones T.B., Bandettini P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. Neuroimage 2009, 44:893-905.
36. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging:a primer with examples. Hum. Brain Mapp. 2002, 15:1-25.
37. Pannek K., Mathias J.L., Bigler E.D., Brown G., Taylor J.D., Rose S.E. The average pathlength map: a diffusion MRI tractography-derived index for studying brain pathology. Neuroimage 2011, 55:133-141.
38. Raffelt D., Tournier J.D., Fripp J., Crozier S., Connelly A., Salvado O. Symmetric diffeomorphic registration of fibre orientation distributions. Neuroimage 2011, 56:1171-1180.
39. Raffelt D., Tournier J.D., Rose S., Ridgway G.R., Henderson R., Crozier S., Salvado O., Connelly A. Apparent fibre density: a novel measure for the analysis of diffusion-weighted magnetic resonance images. Neuroimage 2012, 59:3976-3994.
40. Raffelt D., Tournier J.-D., Crozier S., Connelly A., Salvado O. Reorientation of fiber orientation distributions using apodized point spread functions. Magn. Reson. Med. 2012, 67:844-855.
41. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Proc. Natl. Acad. Sci. U. S. A. 2001, 98:676-682.
42. Rykhlevskaia E., Gratton G., Fabiani M. Combining structural and functional neuroimaging data for studying brain connectivity: a review. Psychophysiology 2008, 45:173-187.
43. Sherbondy A.J., Dougherty R.F., Ananthanarayanan R., Modha D.S., Wandell B.A. Think global, act local; projectome estimation with BlueMatter. Med. Image Comput. Comput. Assist. Interv. 2009, 12:861-868.
44. Sherbondy A.J., Rowe M.C., Alexander D.C. MicroTrack: an algorithm for concurrent projectome and microstructure estimation. Med. Image Comput. Comput. Assist. Interv. 2010, 13:183-190.
45. Skudlarski P., Jagannathan K., Calhoun V.D., Hampson M., Skudlarska B.A., Pearlson G. Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations. Neuroimage 2008, 43:554-561.
46. Smith R.E., Tournier J.D., Calamante F., Connelly A. SIFT: spherical-deconvolution informed filtering of tractograms. Neuroimage 2013, 67:298-312.
47. Smith R.E., Tournier J.D., Calamante F., Connelly A. Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information. Neuroimage 2012, 62:1924-1938.
48. Sui J., Pearlson G., Caprihan A., Adali T., Kiehl K.A., Liu J., Yamamoto J., Calhoun V.D. Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+joint ICA model. Neuroimage 2011, 57:839-855.
49. Supekar K., Uddin L.Q., Prater K., Amin H., Greicius M.D., Menon V. Development of functional and structural connectivity within the default mode network in young children. Neuroimage 2010, 52:290-301.
50. Teipel S.J., Bokde A.L., Meindl T., Amaro E., Soldner J., Reiser M.F., Herpertz S.C., Möller H.J., Hampel H. White matter microstructure underlying default mode network connectivity in the human brain. Neuroimage 2010, 49:2021-2032.
51. Tournier J.D., Calamante F., Gadian D.G., Connelly A. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. Neuroimage 2004, 23:1176-1185.
52. 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.
53. Tournier J.D., Yeh C.H., Calamante F., Cho K.H., Connelly A., Lin C.P. Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data. Neuroimage 2008, 42:617-625.
54. Tournier J.D., Calamante F., Connelly A. Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distributions. Proc. 18th Annual Meeting of the Intl. Soc. Mag. Reson. Med. (ISMRM), Stockholm, Sweden 2010, 18:1670.
55. Tournier J.-D., Mori S., Leemans A. Diffusion tensor imaging and beyond. Magn. Reson. Med. 2011, 65:1532-1556.
56. Tournier J.-D., Calamante F., Connelly A. MRtrix: diffusion tractography in crossing fiber regions. Int. J. Imaging Syst. Technol. 2012, 22:53-66.
57. Tozer D.J., Chard D.T., Bodini B., Ciccarelli O., Miller D.H., Thompson A.J., Wheeler-Kingshott C.A. Linking white matter tracts to associated cortical grey matter: a tract extension methodology. Neuroimage 2012, 59:3094-3102.
58. Tuch D.S. Q-ball imaging. Magn. Reson. Med. 2004, 52:1358-1372.
59. Uddin L.Q., Supekar K.S., Ryali S., Menon V. Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. J. Neurosci. 2011, 31:18578-18589.
60. van den Heuvel M., Mandl R., Luigjes J., Hulshoff Pol H. Microstructural organization of the cingulum tract and the level of default mode functional connectivity. J. Neurosci. 2008, 28:10844-10851.
61. van den Heuvel M.P., Mandl R.C., Kahn R.S., Hulshoff Pol H.E. Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Hum. Brain Mapp. 2009, 30:3127-3141.
62. 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.
63. Wee C.Y., Yap P.T., Zhang D., Denny K., Browndyke J.N., Potter G.G., Welsh-Bohmer K.A., Wang L., Shen D. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage 2012, 59:2045-2056.
64. Willats L., Raffelt D., Smith R.E., Tournier J.-D., Connelly A., Calamante F. Within subject reproducibility and between subject variability of super-resolution track-weighted imaging. Proc. 20th Annual Meeting of the Intl. Soc. Mag. Reson. Med. (ISMRM), Melbourne, Australia 2012, 20:1918.
65. Ystad M., Hodneland E., Adolfsdottir S., Haász J., Lundervold A.J., Eichele T., Lundervold A. Cortico-striatal connectivity and cognition in normal aging: a combined DTI and resting state fMRI study. Neuroimage 2011, 55:24-31.
66. Zhang Z., Liao W., Chen H., Mantini D., Ding J.R., Xu Q., Wang Z., Yuan C., Chen G., Jiao Q., Lu G. Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy. Brain 2011, 134:2912-2928.