The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The Human Connectome Project and beyond: Initial applications of 300mT/m gradients
Open accessAbstract
The engineering of a 3T human MRI scanner equipped with 300 mT/m gradients – the strongest gradients ever built for an in vivo human MRI scanner – was a major component of the NIH Blueprint Human Connectome Project (HCP). This effort was motivated by the HCP’s goal of mapping, as completely as possible, the macroscopic structural connections of the in vivo healthy, adult human brain using diffusion tractography. Yet, the 300 mT/m gradient system is well suited to many additional types of diffusion measurements. Here, we present three initial applications of the 300mT/m gradients that fall outside the immediate scope of the HCP. These include: 1) diffusion tractography to study the anatomy of consciousness and the mechanisms of brain recovery following traumatic coma; 2) q-space measurements of axon diameter distributions in the in vivo human brain and 3) postmortem diffusion tractography as an adjunct to standard histopathological analysis. We show that the improved sensitivity and diffusion-resolution provided by the gradients is rapidly enabling human applications of techniques that were previously possible only for in vitro and animal models on small-bore scanners, thereby creating novel opportunities to map the microstructure of the human brain in health and disease.
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Citations
Cites
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,402 · cited 1×
“Current tractography methods are plagued by significant levels of false positive and false negative findings (Jones et al., 2013).”
BackgroundStructural and molecular interrogation of intact biological systems
Chung, K., Wallace, J., Kim, S.-Y., Kalyanasundaram, S., Andalman, A. S., Davidson, T. J., Mirzabekov, J. J., Zalocusky, K. A., Mattis, J., Denisin, A. K., et al. (2013) · Nature · doi:10.1038/nature12107 · Cited by 2,008
The epidemiology of traumatic brain injury: a review
Bruns, J., & Hauser, W. A. (2003) · Epilepsia · doi:10.1046/j.1528-1157.44.s10.3.x · Cited by 1,271
Behavioural improvements with thalamic stimulation after severe traumatic brain injury
Schiff, N. D., Giacino, J. T., Kalmar, K., Victor, J. D., Baker, K., Gerber, M., Fritz, B., Eisenberg, B., O’Connor, J., Kobylarz, E. J., et al. (2007) · Nature · doi:10.1038/nature06041 · Cited by 1,051
Vanhaudenhuyse, A., Noirhomme, Q., Tshibanda, L. J.-F., Bruno, M.-A., Boveroux, P., Schnakers, C., Soddu, A., Perlbarg, V., Ledoux, D., Brichant, J.-F., et al. (2010) · Brain · doi:10.1093/brain/awp313 · Cited by 911 · cited 2×
“…techniques have begun to identify the neural networks in the cerebral hemispheres that enable recovery of awareness (Fernandez-Espejo et al., 2012; Vanhaudenhuyse et al., 2010), but the pathways in the brainstem ascending reticular activating system (ARAS) that facilitate recovery of arousal…”
BackgroundAxcaliber: A method for measuring axon diameter distribution from diffusion MRI
Assaf, Y., Blumenfeld‐Katzir, T., Yovel, Y., & Basser, P. J. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21577 · Cited by 849
Orientationally invariant indices of axon diameter and density from diffusion MRI
Alexander, D. C., Hubbard, P. L., Hall, M. G., Moore, E. A., Ptito, M., Parker, G. J. M., & Dyrby, T. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.043 · Cited by 683
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project
Setsompop, K., Kimmlingen, R., Eberlein, E., Witzel, T., Cohen-Adad, J., McNab, J. A., Keil, B., Tisdall, M. D., Hoecht, P., Dietz, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.078 · Cited by 545
Self-citationAn analytical model of restricted diffusion in bovine optic nerve
Stanisz, G. J., Wright, G. A., Henkelman, R. M., & Szafer, A. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370115 · Cited by 501
Neuroanatomical correlates of brainstem coma
Parvizi, J. (2003) · Brain · doi:10.1093/brain/awg166 · Cited by 400 · cited 1×
“…models (Fuller et al., 2011; Gennarelli et al., 1982; Smith et al., 2000), with human studies mostly being limited to two-dimensional lesion mapping analyses (Parvizi and Damasio, 2003) and functional activation studies using positron emission tomography (Kinomura et al., 1996; Silva et al., 2010).”
Method
Cited by
The Human Connectome Project's neuroimaging approach
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4361 · Cited by 1,090
Functional connectomics from resting-state fMRI
Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.016 · Cited by 952
Clinical intravoxel incoherent motion and diffusion MR imaging: Past, present, and future
Iima, M., & Le Bihan, D. (2016) · Radiology · doi:10.1148/radiol.2015150244 · Cited by 498
Building connectomes using diffusion MRI: why, how and but
Sotiropoulos, S. N., & Zalesky, A. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3752 · Cited by 290
The contribution of geometry to the human connectome
Roberts, J. A., Perry, A., Lord, A. R., Roberts, G., Mitchell, P. B., Smith, R. E., Calamante, F., & Breakspear, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.009 · Cited by 213
Metadata
- Authors
- McNab, J. A., Edlow, B. L., Witzel, T., Huang, S. Y., Bhat, H., Heberlein, K., Feiweier, T., Liu, K., Keil, B., Cohen-Adad, J., Tisdall, M. D., Folkerth, R. D., Kinney, H. C., & Wald, L. L.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 80
- Pages
- 234-245
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2053838094
- Cited by
- 359
- References
- 10
- FWCI
- 19.25
- Type
- journal article
- Language
- en
- Open access
- green
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- McNab, J. A., Edlow, B. L., Witzel, T., Huang, S. Y., Bhat, H., Heberlein, K., Feiweier, T., Liu, K., Keil, B., Cohen-Adad, J., Tisdall, M. D., Folkerth, R. D., Kinney, H. C., & Wald, L. L. (2013). The Human Connectome Project and beyond: Initial applications of 300mT/m gradients. NeuroImage. https://doi.org/10.1016/j.neuroimage.2013.05.074
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