scholarly journals White Matter Abnormalities in Traumatic Subarachnoid Hemorrhage: A Tract-Based Spatial Statistics Study

2021 ◽  
Vol 27 ◽  
Author(s):  
Min Son Kim ◽  
Min Jye Cho ◽  
Jae Woon Kim ◽  
Sung Ho Jang
Keyword(s):  
Subarachnoid Hemorrhage ◽  
White Matter ◽  
Spatial Statistics ◽  
White Matter Abnormalities ◽  
Traumatic Subarachnoid Hemorrhage ◽  
Tract Based Spatial Statistics

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.

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

scholarly journals Identifying Schizo-Obsessive Comorbidity by Tract-Based Spatial Statistics and Probabilistic Tractography

2019 ◽  
Author(s):  
Yong-ming Wang ◽  
Zhuo-ya Yang ◽  
Xin-lu Cai ◽  
Han-yu Zhou ◽  
Rui-ting Zhang ◽  
...  
Keyword(s):  
White Matter ◽  
Spatial Statistics ◽  
The Other ◽  
Support Vector ◽  
Healthy Controls ◽  
Probabilistic Tractography ◽  
Compulsive Disorder ◽  
White Matter Abnormalities ◽  
Connection Probability ◽  
Tract Based Spatial Statistics

Abstract A phenomenon in schizophrenia patients that deserves attention is the high comorbidity rate with obsessive-compulsive disorder (OCD). Little is known about the neurobiological basis of schizo-obsessive comorbidity (SOC). We aimed to investigate whether specific changes in white matter exist in patients with SOC and the relationship between such abnormalities and clinical parameters. Twenty-eight patients with SOC, 28 schizophrenia patients, 30 OCD patients, and 30 demographically matched healthy controls were recruited. Using Tract-based Spatial Statistics and Probabilistic Tractography, we examined the pattern of white matter abnormalities in these participants. We also used ANOVA and Support Vector Classification of various white matter indices and structural connection probability to further examine white matter changes among the 4 groups. We found that patients with SOC had decreased fractional anisotropy (FA) and increased radial diffusivity in the right sagittal stratum and the left crescent of the fornix/stria terminalis compared with healthy controls. We also found changed connection probability in the Default Mode Network, the Subcortical Network, the Attention Network, the Task Control Network, the Visual Network, the Somatosensory Network, and the cerebellum in the SOC group compared with the other 3 groups. The classification results further revealed that FA features could differentiate the SOC group from the other 3 groups with an accuracy of .78. These findings highlight the specific white matter abnormalities found in patients with SOC.

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