scholarly journals Comparing tract-based spatial statistics and manual region-of-Interest labeling as diffusion analysis methods to detect white matter abnormalities in infants with hypoxic-Ischemic encephalopathy

2015 ◽  
Vol 42 (6) ◽  
pp. 1689-1697 ◽  
Author(s):  
Monica T. Ly ◽  
Tania U. Nanavati ◽  
Christopher A. Frum ◽  
Paola Pergami
Keyword(s):  
White Matter ◽  
Spatial Statistics ◽  
Region Of Interest ◽  
Hypoxic Ischemic Encephalopathy ◽  
White Matter Abnormalities ◽  
Analysis Methods ◽  
Diffusion Analysis ◽  
Tract Based Spatial Statistics ◽  
Ischemic Encephalopathy

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

Abstract T P372: Comparing Methods for Detecting White Matter Abnormalities in Neonates With Hypoxic-Ischemic Encephalopathy

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Monica Ly ◽  
Tania Nanavati ◽  
Chris Frum ◽  
Paola Pergami
Keyword(s):  
Gestational Age ◽  
Region Of Interest ◽  
Hypoxic Ischemic Encephalopathy ◽  
Strongly Correlated ◽  
Neonatal Brain ◽  
Diffusion Analysis ◽  
Sensitivity Specificity ◽  
Automated Protocol ◽  
Age Range ◽  
Ischemic Encephalopathy

Purpose: To compare manual region of interest (ROI) labeling and tract-based spatial statistics (TBSS) by their ability to detect group-wise differences in fractional anisotropy (FA) in the neonatal brain. Materials and Methods: Diffusion weighted data were obtained for nine infants with hypoxic-ischemic encephalopathy (HIE) (6 males, 3 females; gestational age range, 36-40 weeks; mean gestational age, 37.8 weeks) and eleven healthy-born infants (10 males, 1 female; gestational age range, 36-40 weeks; mean gestational age, 38.4 weeks) on a 3T scanner. For manual ROI labeling, eight ROIs were drawn freehand for each subject. For TBSS, all FA data underwent an optimized, automated protocol for neonates. Each method was evaluated for detection of decreased FA in HIE infants, sensitivity, specificity, and variability. Results: FA values from manual ROI and TBSS were strongly correlated. Both methods found decreased FA in most ROIs for HIE infants. There was no significant interaction between method and group, indicating a similar ability to detect FA differences. Sensitivity (manual: 0.71, TBSS: 0.69), specificity (manual and TBSS: 0.72), and standard error (manual: 0.009, TBSS: 0.007) were comparable. Conclusions: Manual ROI labeling and TBSS are comparable methods of diffusion analysis to detect group differences in FA in the neonatal brain

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 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.

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