Abstract
In this study, an attempt has been made to find the correlation between Diffusion Tensor Imaging (DTI) indices of White Matter (WM) regions and Mini Mental State Examination (MMSE) score of Alzheimer patients. Diffusion weighted images are obtained from the ADNI database. These are preprocessed for eddy current correction and removal of non brain tissue. Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (DA) indices are computed over significant regions (Fornix left, Splenium of corpus callosum left, Splenium of corpus callosum right, Bilateral genu of the corpus callosum) affected by AD pathology. The correlation is computed between diffusion indices of the significant regions and MMSE score using linear fit technique so as to find the relation between clinical parameters and the image features. Binary classification has been employed using SVM, Decision Stumps and Simple Logistic classifiers on the extracted DTI indices along with MMSE score to classify Alzheimer patients from healthy controls. It is observed that distinct values of DTI indices exist for the range of MMSE score. However, there is no strong correlation (r varies from 0.0383 to -0.1924) between the MMSE score and the diffusion indices over the significant regions. Further, the performance evaluation of classifiers shows 94% accuracy using SVM in differentiating AD and Control. In isolation clinical and images features can be used for pre screening and diagnosis of AD but no sub anatomic region correlation exist between these features set. The discussion on the correlation of diffusion indices of WM with MMSE score is presented in this study.
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References
Ron, B., Elizabeth: Forecasting the global burden of Alzheimer’s disease. The Journal of the Alzheimer’s Association 3(3), 186–191 (2007)
Braak, H., Braak, E.: Evolution of neuronal changes in the course of Alzheimer’s disease. J. Neural Transm. Suppl. 127–140 (1998)
Alexander, A.L., Lee, J.E., Lazar, M., Field, A.S.: Diffusion Tensor Imaging of the Brain. The Journal of the American Society for Experimental NeuroTherapeutics 4(3), 316–329 (2007)
Mori, S., Zhang, J.: Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research. Neuron, 527–539 (2006)
Folstein, M.F., Folstein, S.E., McHugh, P.R.: Mini-mental state A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 189–198 (1975)
Oishi, K., Faria, A.: Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer’s disease participants. Neuroimage 46(2), 486–499 (2009)
O’Dwyer, L., Lamberton, F., Bokde, A.L.W., Ewers, M., Faluyi, Y.O., et al.: Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment. PLoS ONE 7(2) (2012)
Granaa, M., Termenona, M., Savioa, A., et al.: Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson’s correlation. Neuroscience Letters 502, 225–229 (2011)
Lerch, J.P., Evans, A.C.: Cortical thickness analysis examined through power analysis and a population simulation. Neuro Image 24, 163–173 (2005)
O’Dwyer, L., Lamberton, F., Bokde, A.L.W., Ewers, M., Faluyi, Y.O.: Using diffusion tensor imaging and mixed-effects models to investigate primary and secondary white matter degeneration in Alzheimer’s disease and mild cognitive impairment. J. Alzheimers Dis. 26, 667–682 (2011)
Bozzali, M., Falini, A., et al.: White matter damage in Alzheimer’s disease assessed in vivo using diffusion tensor magnetic resonance imaging. J. Neurol. Neurosurg. Psychiatry 72(6), 742–746 (2002)
Westin, C.F., Maier, S.E., Mamata, H., et al.: Processing and visualization for diffusion tensor MRI. Medical Image Analysis 6(2), 93–108 (2002)
Jenkinson, M., Beckmann, C.F., Behrens, T.E., et al.: FSL. NeuroImage 62, 782–790 (2012)
Thomas, B., Eyssen, M., Peeters, R., Molenaers, G., Van Hecke, P.: Quantitative diffusion tensor imaging in cerebral palsy due to periventricular white matter injury. Brain 128, 2562–2577 (2005)
Gold, B.T., Powell, D.K., Andersen, A.H., Smith, C.D.: Alterations in multiple measures of white matter integrity in normal women at high risk for Alzheimer’s disease. NeuroImage 52, 1487–1494 (2010)
Wu, X., Kumar, V., Quinlan, J.R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G.J., Ng, A.F.M., Liu, B., Yu, P.S., Zhou, Z.-H., Steinbach, M., Hand, D.J., Steinberg, D.: Top 10 Algorithms in Data Mining. Knowledge and Information Systems 14(1), 1–37 (2008)
Ng, A.Y., Jordan, M.I.: On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In: Neural Information Processing Systems (2002)
Rennie, J.: Boosting with decision stumps and binary features, Massachusetts Inst. Technol., Cambridge, MA, Tech. Rep. (2003)
Patil, R.B., Piyush, R., Ramakrishnan, S.: Identification of brain white matter regions for diagnosis of alzheimer using diffusion tensor imaging. In: 35th Annual International Conference of the IEEE EMBS, pp. 6535–6538 (2013)
Bozzali, M., Falini, A., et al.: White matter damage in Alzheimer’s disease assessed in vivo using diffusion tensor magnetic resonance imaging. J. Neurol. Neurosurg. Psychiatry 72(6), 742–746 (2002)
Ibrahim, I., Horacek, J., Bartos, A., Hajek, M., Ripova, D., Brunovsky, M., Tintera, J.: Combination of voxel based morphometry and diffusion tensor imaging in patients with Alzheimer’s disease. Neuro. Endocrinol. Letter 30(1), 39–45 (2009)
Chou, Y.-Y., Leporé, N., Saharan, P., Madsen, S.K., Hua, X., et al.: Ventricular maps in 804 ADNI subjects: correlations with CSF biomarkers and clinical decline. Neurobiology of Aging 31, 1386–1400 (2010)
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A.V., Mahmood, A., Woods, R., Toga, A.W., Pike, G.B., Neto, P.R., Evans, A., Zhang, J., Huang, H., Miller, M.I., van Zijl, P., Mazziotta, J.: Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage 40, 570–582 (2008)
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Patil, R.B., Ramakrishnan, S. (2014). Correlation of Diffusion Tensor Imaging Indices with MMSE Score in Alzheimer Patients: A Sub-anatomic Region Based Study on ADNI Database. In: Pham, T.D., Ichikawa, K., Oyama-Higa, M., Coomans, D., Jiang, X. (eds) Biomedical Informatics and Technology. ACBIT 2013. Communications in Computer and Information Science, vol 404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54121-6_13
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DOI: https://doi.org/10.1007/978-3-642-54121-6_13
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