ISSN: 2375-3838
International Journal of Clinical Medicine Research  
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Correlation Between Diffusion Tensor Imaging Method Results and the SCOPA-COG in Parkinson's Disease
International Journal of Clinical Medicine Research
Vol.6 , No. 5, Publication Date: Nov. 12, 2019, Page: 39-44
295 Views Since November 12, 2019, 94 Downloads Since Nov. 12, 2019

Elahe Hoseini, Radiology Technology Department, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.


Fariborz Faeghi, Radiology Technology Department, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.


Farzad Ashrafi, Neurology Brain Mapping Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.


Ali Hekmatnia, Department of Radiology, Esfahan University of Medical Sciences, Esfahan, Iran.


Back ground: Cognitive impairments play an important role in Parkinson's disease (PD). Objective: In this study, the relationship between the Diffusion Tensor Imaging (DTI) method and the SCOPA-Cog clinical test was investigated in different domains of cognitive impairment. Method: This study was performed on 20 patients with clinical diagnosis of idiopathic PD. Fractional anisotropy (FA) and mean diffusivity (MD) parameters were calculated by drawing region of interest (ROI) on 15 distinct areas. Cognitive impairment was evaluated using the SCOPA-Cog standard test. Conclusion: The results of investigation of the relationship between the DTI method and SCOPA-Cog clinical test showed that changes in FA and MD values in the Fornix area were significant compared to SCOPA test results. We found correlations between DTI parameters and executive function score in some regions such as Genu, superior fronto-occipital fasciculus (SFOF), anterior limb of internal capsule (ALIC) and posterior corona radiata (PCR). The results showed that there is a significant relationship between DTI parameters and visuospatial score in parieto-occipital domain. The results indicate that there is a correlation between DTI method and the SCOPA clinical test. This information can be used to measure sensitivity and reliability of SCOPA test in early detection of Parkinson's disease.


Cognitive Dysfunction, Parkinson Disease, Diffusion Tensor Imaging, White matter, Magnetic Resonance Imaging, Brain, Fractional Anisotropy, Mean Diffusivity


Hirtz D, Thurman DJ, Gwinn-Hardy K, et al. (2007). How common are the “common” neurologic disorders? Neurology, Jan 30; 68 (5): 326-37. doi: 10.1212/01.wnl.0000252807.38124.a3.


Goldenberg MM. (2008). Medical Management of Parkinson’s Disease. Pharmacy and Therapeutics, Oct; 33 (10): 590-594, 599-606. PMCID: PMC2730785.


Dickson, D, W. et al. Neuropathological assessment of Parkinson's disease: refining the diagnostic criteria. Lancet Neurol. 8, (2009).


Alexander GE. (2004). Biology of Parkinson’s disease: pathogenesis and pathophysiology of a multisystem neurodegenerative disorder. Dialogues in Clinical Neuroscience; 6 (3): 259-280. PMCID: PMC3181806.


Goldman J, Litvan I. (2011). Mild Cognitive Impairment in Parkinson’s Disease. Minerva Medica, 102 (6): 441-459. PMCID: PMC3370887.


Ashrafi, F & et al. (2012). Cognitive impairments in Parkinson disease: Evidence from an Iranian population. Iranian Journal of Neurology, 11 (4), 151-154.


Isella, V., et al. (2013). "Psychometric properties of the Italian version of the Scales for Outcomes in Parkinson's disease- Cognition (SCOPA-Cog)." Funct Neurol, 28 (2): 121-125. PMCID: PMC3812729.


Mori S, Zhang J. (2006). Principles of diffusion tensor imaging and its applications to basic neuroscience research. Neuron, 51 (5): 527–39. DOI: 10.1016/j.neuron.2006.08.012.


Wen, M. C., et al. (2016). "White matter microstructural characteristics in newly diagnosed Parkinson's disease: An unbiased whole-brain study." Sci Rep, 6: 35601. DOI: 10.1038/srep35601.


Le Bihan D, Mangin JF, Poupon C, Clark CA, Pappata S, Molko N, et al. (2001). Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging, 13 (4): 534-46. DOI: 10.1002/jmri.1076.


Marinus J, Visser M, Verwey NA. (2003) Assessment of cognition in Parkinson's disease. Neurology, 61: 1222–1228. DOI:


Bohnen NI, Albin RL. (2011) White matter lesions in Parkinson disease. Nat Rev Neurol, 7 (4): 229–36. DOI: 10.1038/nrneurol.2011.21.


Zhan W, Kang GA, Glass GA, Zhang Y, Shirley C, Millin R, Possin KL, Nezamzadeh M, Weiner MW, Marks WJ, et al.(2012) Regional Alterations of Brain Microstructure in Parkinson’s Disease Using Diffusion Tensor Imaging. Movement Disorders, 27 (1): 90–7. DOI: 10.1002/mds.23917.


Thomas, A. G., et al. (2011). "The fornix in health and disease: an imaging review." Radiographics, 31 (4): 1107-1121DOI: 10.1148/rg.314105729.


Zheng, Z & et al. (2014). DTI Correlates of Distinct Cognitive Impairments in Parkinson Disease. Human Brain Mapping, 35, 1325-1333. DOI: 10.1002/hbm.22256.


Loane C et al. 2016. Aberrant Nigral Diffusion in Parkinson’s Disease: A Longitudinal Diffusion Tensor Imaging Study Clar.


Bennett, I. J., et al. (2015). "Limbic Tract Integrity Contributes to Pattern Separation Performance Across the Lifespan." Cereb Cortex, 25 (9): 2988-2999. DOI: 10.1093/cercor/bhu093.


Kamagata K., Motoi Y., Abe O., Shimoji K., Hori M., Nakanishi A., Hattori N.(2012). White matter alteration of the cingulum in Parkinson disease with and without dementia: evaluation by diffusion tensor tract-specific analysis. Am. J. Neuroradiol, 33 (5): 890–895. DOI: 10.3174/ajnr.A2860.


Parker KL, Lamichhane D, Caetano MS, Narayanan NS. (2013). Executive dysfunction in Parkinson’s disease and timing deficits. Frontiers in Integrative Neuroscience, 7: 75. doi: 10.3389/fnint.2013.00075.


Alvarez, J. A. and E. Emory (2006). "Executive function and the frontal lobes: a meta-analytic review." Neuropsychol Rev 16 (1): 17-42. DOI: 10.1007/s11065-006-9002-x.


Possin KL. (2010). Visual Spatial Cognition in Neurodegenerative Disease. Neurocase, 16 (6): 466-487. DOI: 10.1080/13554791003730600.

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