scholarly journals White Matter Abnormalities in Spontaneous Subarachnoid Hemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (9) ◽  
Author(s):  
Sung Jun Lee ◽  
Min Son Kim ◽  
Sung Ho Jang
Keyword(s):  
Subarachnoid Hemorrhage ◽  
White Matter ◽  
Fractional Anisotropy ◽  
Spatial Statistics ◽  
Regions Of Interest ◽  
Aneurysmal Rupture ◽  
White Matter Abnormalities ◽  
Tract Based Spatial Statistics ◽  
The Right ◽  
Spontaneous Subarachnoid Hemorrhage

Background and Purpose: We investigated white matter abnormalities in patients with spontaneous subarachnoid hemorrhage following aneurysmal rupture, by using tract-based spatial statistics. Methods: Sixteen patients with spontaneous subarachnoid hemorrhage due to aneurysmal rupture and 18 age- and sex-matched healthy control subjects were recruited. Voxel-wise statistical analysis of fractional anisotropy data was performed by using tract-based spatial statistics as implemented in the Functional Magnetic Resonance Imaging of the Brain Software Library. We calculated mean fractional anisotropy values across the tract skeleton and within 48 regions of interest based on the intersections between the fractional anisotropy skeleton and the probabilistic Johns Hopkins University white matter atlases. Results: Comparing the patient and control groups, the fractional anisotropy values of 44 regions of interest among the 48 regions of interest showed significant differences ( P <0.05). However, significant differences were not observed in the remaining 4 regions of interest (both retrolenticular parts of the internal capsule, the right superior longitudinal fasciculus, and the right superior corona radiata; P >0.05). Conclusions: By undertaking tract-based spatial statistics analysis, we detected wide-ranging white matter abnormalities in patients with spontaneous subarachnoid hemorrhage. Registration: URL: http://www.e-irb.com/index.jsp . Unique identifier: 2019-06-032.

Assessment of White Matter Lesions in Parkinson's Disease: Voxel-based Analysis and Tract-based Spatial Statistics Analysis of Parkinson's Disease with Mild Cognitive Impairment

2020 ◽  
Vol 17 (4) ◽  
pp. 480-486
Author(s):  
Wei Pu ◽  
Xudong Shen ◽  
Mingming Huang ◽  
Zhiqian Li ◽  
Xianchun Zeng ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Corpus Callosum ◽  
Fractional Anisotropy ◽  
Spatial Statistics ◽  
Diffusion Tensor ◽  
Tract Based Spatial Statistics

Objective: Application of diffusion tensor imaging (DTI) to explore the changes of FA value in patients with Parkinson's disease (PD) with mild cognitive impairment. Methods: 27 patients with PD were divided into PD with mild cognitive impairment (PD-MCI) group (n = 7) and PD group (n = 20). The original images were processed using voxel-based analysis (VBA) and tract-based spatial statistics (TBSS). Results: The average age of pd-mci group was longer than that of PD group, and the course of disease was longer than that of PD group. Compared with PD group, the voxel based analysis-fractional anisotropy (VBA-FA) values of PD-MCI group decreased in the following areas: bilateral frontal lobe, bilateral temporal lobe, bilateral parietal lobe, bilateral subthalamic nucleus, corpus callosum, and gyrus cingula. Tract-based spatial statistics-fractional anisotropy (TBSS-FA) values in PD-MCI group decreased in bilateral corticospinal tract, anterior cingulum, posterior cingulum, fornix tract, bilateral superior thalamic radiation, corpus callosum(genu, body and splenium), bilateral uncinate fasciculus, bilateral inferior longitudinal fasciculus, bilateral superior longitudinal fasciculus, bilateral superior fronto-occipital fasciculus, bilateral inferior fronto-occipital fasciculus, and bilateral parietal-occipital tracts. The mean age of onset in the PD-MCI group was greater than that in the PD group, and the disease course was longer than that in the PD group. Conclusion: DTI-based VBA and TBSS post-processing methods can detect abnormalities in multiple brain areas and white matter fiber tracts in PD-MCI patients. Impairment of multiple cerebral cortex and white matter fiber pathways may be an important causes of cognitive dysfunction in PD-MCI.

scholarly journals A prospective study of physician-observed concussion during a varsity university hockey season: white matter integrity in ice hockey players. Part 3 of 4

2012 ◽  
Vol 33 (6) ◽  
pp. E3 ◽  
Author(s):  
Inga K. Koerte ◽  
David Kaufmann ◽  
Elisabeth Hartl ◽  
Sylvain Bouix ◽  
Ofer Pasternak ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Spatial Statistics ◽  
Diffusion Tensor ◽  
Ice Hockey ◽  
White Matter Integrity ◽  
Posterior Limb ◽  
Hockey Players ◽  
Tract Based Spatial Statistics ◽  
The Right

Object The aim of this study was to investigate the effect of repetitive head impacts on white matter integrity that were sustained during 1 Canadian Interuniversity Sports (CIS) ice hockey season, using advanced diffusion tensor imaging (DTI). Methods Twenty-five male ice hockey players between 20 and 26 years of age (mean age 22.24 ± 1.59 years) participated in this study. Participants underwent pre- and postseason 3-T MRI, including DTI. Group analyses were performed using paired-group tract-based spatial statistics to test for differences between preseason and postseason changes. Results Tract-based spatial statistics revealed an increase in trace, radial diffusivity (RD), and axial diffusivity (AD) over the course of 1 season. Compared with preseason data, postseason images showed higher trace, AD, and RD values in the right precentral region, the right corona radiata, and the anterior and posterior limb of the internal capsule. These regions involve parts of the corticospinal tract, the corpus callosum, and the superior longitudinal fasciculus. No significant differences were observed between preseason and postseason for fractional anisotropy. Conclusions Diffusion tensor imaging revealed changes in white matter diffusivity in male ice hockey players over the course of 1 season. The origin of these findings needs to be elucidated.

Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants

NeuroImage ◽  
2007 ◽  
Vol 35 (3) ◽  
pp. 1021-1027 ◽  
Author(s):  
Mustafa Anjari ◽  
Latha Srinivasan ◽  
Joanna M. Allsop ◽  
Joseph V. Hajnal ◽  
Mary A. Rutherford ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Spatial Statistics ◽  
Preterm Infants ◽  
Diffusion Tensor ◽  
White Matter Abnormalities ◽  
Tract Based Spatial Statistics

scholarly journals White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e37561 ◽  
Author(s):  
Nianming Zuo ◽  
Jiliang Fang ◽  
Xueyu Lv ◽  
Yuan Zhou ◽  
Yang Hong ◽  
...  
Keyword(s):  
White Matter ◽  
Major Depression ◽  
Spatial Statistics ◽  
White Matter Abnormalities ◽  
Tract Based Spatial Statistics
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