The alterations of pain-related brain regions in migraine without aura: Diffusion kurtosis imaging and voxel-based morphometry analysis
| Autor: | Yu-Syuan Liang, 梁宇萱 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 Purpose: Specific white matter alterations in migraine have been shown in many studies. Because the sensations of pain are performed by pain matrix, the integrity of white matter near these regions might be altered in migraine patients. Diffusion tensor imaging (DTI) has been used in a lot of studies to detect white matter alterations. However, because the Gaussian assumption in DTI is not a suitable model in the intracellular microenvironment, diffusion kurtosis imaging (DKI) which considers not only the Gaussian distribution but also the non-Gaussian distribution were demonstrated to better characterize white matter microstructural alterations. In addition, voxel-based morphometry (VBM) has been used in many studies to estimate the volume or density changes of gray matter in the cerebral cortex. Therefore, the aim of our study was to use DKI and VBM to comprehensively observe white matter and gray matter alterations near the regions of pain matrix in migraine. Materials and Method: Our study acquired whole brain T1 and DKI datasets from 19 Migraine without aura (MWoA) subjects (M/F=5/14, age=42±10 y/o) and13 healthy controls (M/F=5/8, age=32±9 y/o) on a Siemens 3.0T Skyra System. The DKI dataset were acquired using three b values(0, 1000 and 2000) in 20 non-collinear diffusion directions and repeated three times to improve data quality. For white matter analysis, all DKI images were post-processed with DKE tool (Diffusion Kurtosis Estimator) to obtain axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD), Fractional Anisotropy (FA), axial kurtosis (AK), radial kurtosis (RK), and mean kurtosis (MK). For gray matter analysis, we used DARTEL VBM analysis for a series of automatic image processing, such as segmentation, modulation, and normalization. After spatial normalization, SPM8 (Statistical Parametric Mapping version 8) was performed for statistical analysis. Results: The results showed that there were more white matter alterations found by DKI than DTI. We found significantly increased diffusivity and decreased diffusion anisotropy in multiple white matter regions, especially at left side of brain near the pain matrix in migraine subjects, and also found there were more alterations in the parameters of radial direction (RD and RK). Moreover, the gray matter density were significantly decreased at the left side of brain near pain matrix in migraine subjects, but were significantly increased in cerebellum. Conclusion: The mechanism of migraine is still to be investigated. Our results demonstrated that DKI technique is helpful and more sensitive for detection of subtle white matter microstructural alterations in migraine subjects and can provide more in-depth insight into the distribution of water diffusion related to tissue microstructural alterations. Besides, DARTEL VMB is also helpful for detection of gray matter alterations in migraine subjects. Although the significance of these changes in migraine is still to be elucidated, our study preliminarily evaluated the alterations of both white matter and gray matter structures in migraine and the results may provide the direction for future research and clinical diagnosis. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|