The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Diffusion Tensor Imaging of Mild Traumatic Brain Injury
Abstract
Mild traumatic brain injury (mTBI) remains a challenge to accurately assess with conventional neuroimaging. Recent research holds out the promise that diffusion tensor imaging (DTI) can be used to predict recovery in mTBI patients. Unlike computed tomography or conventional magnetic resonance imaging, DTI is sensitive to microstructural axonal injury, the neuropathology that is thought to be most responsible for the persistent cognitive and behavioral impairments that often occur after mTBI. Through the use of newer DTI analysis techniques such as automated region of interest analysis, tract-based voxel-wise analysis, and quantitative tractography, researchers have shown that frontal and temporal association white matter pathways are most frequently damaged in mTBI and that the microstructural integrity of these tracts correlates with behavioral and cognitive measures. Future longitudinal DTI studies are needed to elucidate how symptoms and the microstructural pathology evolve over time. Moving forward, large-scale investigations will ascertain whether DTI can serve as a predictive imaging biomarker for long-term neurocognitive deficits after mTBI that would be of value for triaging patients to clinical trials of experimental cognitive enhancement therapies and rehabilitation methods, as well as for monitoring their response to these interventions.
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Cites
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About “axial” and “radial” diffusivities
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Diffusion tensor imaging of acute mild traumatic brain injury in adolescents
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A prospective diffusion tensor imaging study in mild traumatic brain injury
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Cited by
Salience network integrity predicts default mode network function after traumatic brain injury
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113455109 · Cited by 606
Neuroimaging after mild traumatic brain injury: review and meta-analysis
Eierud, C., Craddock, R. C., Fletcher, S., Aulakh, M., King-Casas, B., Kuehl, D., & LaConte, S. M. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.12.009 · Cited by 524
Soccer Heading Is Associated with White Matter Microstructural and Cognitive Abnormalities
Lipton, M. L., Kim, N., Zimmerman, M. E., Kim, M., Stewart, W. F., Branch, C. A., & Lipton, R. B. (2013) · Radiology · doi:10.1148/radiol.13130545 · Cited by 376
Neuropathology of mild traumatic brain injury: relationship to neuroimaging findings
Bigler, E. D., & Maxwell, W. L. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9145-0 · Cited by 311
Current clinical applications of diffusion-tensor imaging in neurological disorders
Tae, W.-S., Ham, B.-J., Pyun, S.-B., Kang, S.-H., & Kim, B.-J. (2018) · Journal of Clinical Neurology · doi:10.3988/jcn.2018.14.2.129 · Cited by 302
Metadata
- Authors
- Niogi, S. N., & Mukherjee, P.
- Venue
- Journal of Head Trauma Rehabilitation
- Published
- 2010-07
- Volume
- 25
- Issue
- 4
- Pages
- 241-255
- ISSN
- 0885-9701 (ISSN-L)
- OpenAlex
- W2092703451
- Cited by
- 379
- References
- 9
- FWCI
- 20.13
- Type
- journal article
- Language
- en
- Open access
- closed
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