The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Neurocognitive and neuroimaging correlates of pediatric traumatic brain injury: A diffusion tensor imaging (DTI) study
Open accessAbstract
This study examined the sensitivity of diffusion tensor imaging (DTI) to microstructural white matter (WM) damage in mild and moderate pediatric traumatic brain injury (TBI). Fourteen children with TBI and 14 controls ages 10-18 had DTI scans and neurocognitive evaluations at 6-12 months post-injury. Groups did not differ in intelligence, but children with TBI showed slower processing speed, working memory and executive deficits, and greater behavioral dysregulation. The TBI group had lower fractional anisotropy (FA) in three WM regions: inferior frontal, superior frontal, and supracallosal. There were no group differences in corpus callosum. FA in the frontal and supracallosal regions was correlated with executive functioning. Supracallosal FA was also correlated with motor speed. Behavior ratings showed correlations with supracallosal FA. Parent-reported executive deficits were inversely correlated with FA. Results suggest that DTI measures are sensitive to long-term WM changes and associated with cognitive functioning following pediatric TBI.
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Cites
ASSESSMENT OF COMA AND IMPAIRED CONSCIOUSNESS
Teasdale, G., & Jennett, B. (1974) · The Lancet · doi:10.1016/s0140-6736(74)91639-0 · Cited by 13,215
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Frontostriatal Microstructure Modulates Efficient Recruitment of Cognitive Control
Liston, C., Watts, R., Tottenham, N., Davidson, M. C., Niogi, S., Ulug, A. M., & Casey, B. J. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj003 · Cited by 477
Diffusion tensor imaging of normal and injured developing human brain-a technical review
Neil, J., Miller, J., Mukherjee, P., & Hüppi, P. S. (2002) · NMR in Biomedicine · doi:10.1002/nbm.784 · Cited by 402 · cited 1×
“In the noninjured developing brain, diffusion anisotropy in white matter, as measured by DTI, is a function of a number of factors including axon structure, axon packing, tissue water content, and myelin, among others (Neil et al., 2002).”
BackgroundAttention-deficit/hyperactivity disorder: a preliminary diffusion tensor imaging study
Ashtari, M., Kumra, S., Bhaskar, S. L., Clarke, T., Thaden, E., Cervellione, K. L., Rhinewine, J., Kane, J. M., Adesman, A., Milanaik, R., et al. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.047 · Cited by 295
Eluvathingal, T. J., Hasan, K. M., Kramer, L., Fletcher, J. M., & Ewing-Cobbs, L. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm003 · Cited by 288
Cited by
Semple, B. D., Blomgren, K., Gimlin, K., Ferriero, D. M., & Noble-Haeusslein, L. J. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.04.001 · Cited by 2,132
The molecular pathophysiology of concussive brain injury
Barkhoudarian, G., Hovda, D. A., & Giza, C. C. (2011) · Clinics in Sports Medicine · doi:10.1016/j.csm.2010.09.001 · Cited by 492
Contribution of Rating Scales to the Assessment of Executive Functions
Isquith, P. K., Roth, R. M., & Gioia, G. (2013) · Applied Neuropsychology: Child · doi:10.1080/21622965.2013.748389 · Cited by 233
Roth, R. M., Isquith, P. K., & Gioia, G. A. (2014) · Handbook of Executive Functioning · doi:10.1007/978-1-4614-8106-5_18 · Cited by 188
Executive Function in the Real World: BRIEF Lessons From Mark Ylvisaker
Gioia, G. A., Kenworthy, L., & Isquith, P. K. (2010) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0b013e3181fbc272 · Cited by 114
Metadata
- Authors
- WOZNIAK, J., KRACH, L., WARD, E., MUELLER, B., MUETZEL, R., SCHNOEBELEN, S., KIRAGU, A., & LIM, K.
- Venue
- Archives of Clinical Neuropsychology
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-06
- Volume
- 22
- Issue
- 5
- Pages
- 555-568
- ISSN
- 0887-6177 (ISSN-L)
- OpenAlex
- W2158464373
- Cited by
- 303
- References
- 6
- FWCI
- 13.61
- Type
- journal article
- Language
- en
- Open access
- bronze
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- WOZNIAK, J., KRACH, L., WARD, E., MUELLER, B., MUETZEL, R., SCHNOEBELEN, S., KIRAGU, A., & LIM, K. (2007). Neurocognitive and neuroimaging correlates of pediatric traumatic brain injury: A diffusion tensor imaging (DTI) study. Archives of Clinical Neuropsychology. https://doi.org/10.1016/j.acn.2007.03.004
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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