Differential Diagnosis Tool for Parkinsonian Syndrome Using Multiple Structural Brain Measures
Joint Authors
Ito, Kimiteru
Ogawa, Masafumi
Ota, Miho
Kamiya, Kouhei
Kunugi, Hiroshi
Nakata, Yasuhiro
Sato, Noriko
Obu, Satoko
Murata, Miho
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Clinical differentiation of parkinsonian syndromes such as the Parkinson variant of multiple system atrophy (MSA-P) and cerebellar subtype (MSA-C) from Parkinson's disease is difficult in the early stage of the disease.
To identify the correlative pattern of brain changes for differentiating parkinsonian syndromes, we applied discriminant analysis techniques by magnetic resonance imaging (MRI).
T1-weighted volume data and diffusion tensor images were obtained by MRI in eighteen patients with MSA-C, 12 patients with MSA-P, 21 patients with Parkinson’s disease, and 21 healthy controls.
They were evaluated using voxel-based morphometry and tract-based spatial statistics, respectively.
Discriminant functions derived by step wise methods resulted in correct classification rates of 0.89.
When differentiating these diseases with the use of three independent variables together, the correct classification rate was the same as that obtained with step wise methods.
These findings support the view that each parkinsonian syndrome has structural deviations in multiple brain areas and that a combination of structural brain measures can help to distinguish parkinsonian syndromes.
American Psychological Association (APA)
Ota, Miho& Nakata, Yasuhiro& Ito, Kimiteru& Kamiya, Kouhei& Ogawa, Masafumi& Murata, Miho…[et al.]. 2013. Differential Diagnosis Tool for Parkinsonian Syndrome Using Multiple Structural Brain Measures. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-481643
Modern Language Association (MLA)
Ota, Miho…[et al.]. Differential Diagnosis Tool for Parkinsonian Syndrome Using Multiple Structural Brain Measures. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-481643
American Medical Association (AMA)
Ota, Miho& Nakata, Yasuhiro& Ito, Kimiteru& Kamiya, Kouhei& Ogawa, Masafumi& Murata, Miho…[et al.]. Differential Diagnosis Tool for Parkinsonian Syndrome Using Multiple Structural Brain Measures. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-481643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481643