ADVERTISEMENT

Home|Journals|Articles by Year|Audio Abstracts
 

Original Article



Diffusion tensor imaging findings of patients with parkinson’s disease refractory to medical treatment

Mustafa Guduk, Halime Cevik Cenkeri, Atilla Yilmaz, Sadik Ahmet Uyanik, Eray Atli, Umut Oguslu, Birnur Yilmaz, Burcak Gumus.



Abstract
Download PDF Cited by 0 ArticlesPost

Aim: Diffusion Tensor Imaging (DTI) findings can be useful to detect and measure neurodegeneration that is seen in Parkinson’s disease (PD). Microstructural changes in regions of the brain related with motor function are evaluated by using DTI measurements of fractional anisotropy (FA) to find out the possible role of the technique in diagnosis in patients with PD.
Materials and Methods: The study includes 18 PD patients who were candidates for deep brain stimulation surgery, and 19 control group patients. DTI was performed in all cases. DTI characteristics of FA were measured in primary motor cortex (M1), supplementary motor area (SMA), inferior parietal lobule, putamen (P), globus pallidus externus (GPe) and internus (GPi), ventrolateral nucleus of thalamus (Th), substantia nigra (SN), cuneus, precuneus and cerebellar dentate nucleus (D) bilaterally. Additionally, we processed “raw” FA images and colored them according to fiber orientation to visualize STN and GPi nuclei.
Results: Mean age of the control group was 59.2±13.2 (range: 31-79) years, while it was 56.7±16 (range: 42-77) years for the patient group. Mean duration of PD was 12.4±7.1 (range: 5-30) years. Study group FA values were significantly lower than the control group in all areas bilaterally (p

Key words: Diffusion tensor imaging; neurodegenerative diseases; parkinson disease







Bibliomed Article Statistics

33
50
27
46
34
22
24
28
18
22
28
12
R
E
A
D
S

16

14

11

17

19

13

14

11

11

30

25

6
D
O
W
N
L
O
A
D
S
030405060708091011120102
20252026

Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Author Tools
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.