The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease
Open accessAbstract
BACKGROUND: In the midbrain of patients with Parkinson disease (PD), there is a selective loss of dopaminergic neurons in the ventrolateral and caudal substantia nigra (SN). In a mouse model of PD, investigators have administered 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and found that measures derived using diffusion tensor imaging (DTI) were correlated with the number of dopamine neurons lost following intoxication. METHODS: Twenty-eight subjects (14 with early stage, untreated PD and 14 age- and gender-matched controls) were studied with a high-resolution DTI protocol at 3 Tesla using an eight-channel phase array coil and parallel imaging to study specific segments of degeneration in the SN. Regions of interest were drawn in the rostral, middle, and caudal SN by two blinded and independent raters. RESULTS: Fractional anisotropy (FA) was reduced in the SN of subjects with PD compared with controls (p < 0.001). Post hoc analysis identified that reduced FA for patients with PD was greater in the caudal compared with the rostral region of interest (p < 0.00001). A receiver operator characteristic analysis in the caudal SN revealed that sensitivity and specificity were 100% for distinguishing patients with PD from healthy subjects. Findings were consistent across both raters. CONCLUSIONS: These findings provide evidence that high resolution diffusion tensor imaging in the substantia nigra distinguishes early stage, de novo patients with Parkinson disease (PD) from healthy individuals on a patient by patient basis and has the potential to serve as a noninvasive early biomarker for PD.
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Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777
Hughes, A. J., Daniel, S. E., Kilford, L., & Lees, A. J. (1992) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.55.3.181 · Cited by 10,378
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
AGEING AND PARKINSON'S DISEASE: SUBSTANTIA NIGRA REGIONAL SELECTIVITY
FEARNLEY, J. M., & LEES, A. J. (1991) · Brain · doi:10.1093/brain/114.5.2283 · Cited by 3,529
Fiber Tract–based Atlas of Human White Matter Anatomy
Wakana, S., Jiang, H., Nagae-Poetscher, L. M., van Zijl, P. C. M., & Mori, S. (2004) · Radiology · doi:10.1148/radiol.2301021640 · Cited by 1,980
Principles of diffusion tensor imaging and its applications to basic neuroscience research
Mori, S., & Zhang, J. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.012 · Cited by 1,708
Fiber tract-based atlas of human white matter anatomy
Wakana, S. (2006) · Medical Entomology and Zoology · Cited by 1,531
Kraus, M. F., Susmaras, T., Caughlin, B. P., Walker, C. J., Sweeney, J. A., & Little, D. M. (2007) · Brain · doi:10.1093/brain/awm216 · Cited by 994
Self-citationImproved accuracy of clinical diagnosis of Lewy body Parkinson’s disease
Hughes, A. J., Daniel, S. E., & Lees, A. J. (2001) · Neurology · doi:10.1212/wnl.57.8.1497 · Cited by 807
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Functional network disruption in the degenerative dementias
Pievani, M., de Haan, W., Wu, T., Seeley, W. W., & Frisoni, G. B. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70158-2 · Cited by 481
EFNS/MDS‐ES recommendations for the diagnosis of Parkinson's disease
Berardelli, A., Wenning, G. K., Antonini, A., Berg, D., Bloem, B. R., Bonifati, V., Brooks, D., Burn, D. J., Colosimo, C., Fanciulli, A., et al. (2013) · European Journal of Neurology · doi:10.1111/ene.12022 · Cited by 489
Magnetic resonance imaging markers of Parkinson's disease nigrostriatal signature
Péran, P., Cherubini, A., Assogna, F., Piras, F., Quattrocchi, C., Peppe, A., Celsis, P., Rascol, O., Démonet, J.-F., Stefani, A., et al. (2010) · Brain · doi:10.1093/brain/awq212 · Cited by 399
Kamagata, K., Hatano, T., Okuzumi, A., Motoi, Y., Abe, O., Shimoji, K., Kamiya, K., Suzuki, M., Hori, M., Kumamaru, K. K., et al. (2016) · European Radiology · doi:10.1007/s00330-015-4066-8 · Cited by 135
Kamagata, K., Zalesky, A., Hatano, T., Ueda, R., Di Biase, M. A., Okuzumi, A., Shimoji, K., Hori, M., Caeyenberghs, K., Pantelis, C., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23628 · Cited by 106
Metadata
- Authors
- Vaillancourt, D. E., Spraker, M. B., Prodoehl, J., Abraham, I., Corcos, D. M., Zhou, X. J., Comella, C. L., & Little, D. M.
- Venue
- Neurology
- Published
- 2009-04-21
- Volume
- 72
- Issue
- 16
- Pages
- 1378-1384
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2159132478
- Cited by
- 438
- References
- 28
- FWCI
- 21.19
- Type
- journal article
- Language
- en
- Open access
- green
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- Vaillancourt, D. E., Spraker, M. B., Prodoehl, J., Abraham, I., Corcos, D. M., Zhou, X. J., Comella, C. L., & Little, D. M. (2009). High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease. Neurology. https://doi.org/10.1212/01.wnl.0000340982.01727.6e
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