scholarly journals Diffusion tensor imaging of the structural integrity of white matter correlates with impulsivity in adolescents with internet gaming disorder

2017 ◽  
Vol 7 (8) ◽  
pp. e00753 ◽  
Author(s):  
Xin Du ◽  
Linlin Liu ◽  
Yongxin Yang ◽  
Xin Qi ◽  
Peihong Gao ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Structural Integrity ◽  
Diffusion Tensor ◽  
Internet Gaming Disorder ◽  
Gaming Disorder ◽  
Internet Gaming

scholarly journals MRI-Based Radiomic Machine-Learning Model May Accurately Distinguish between Subjects with Internet Gaming Disorder and Healthy Controls

2021 ◽  
Vol 12 (1) ◽  
pp. 44
Author(s):  
Xu Han ◽  
Lei Wei ◽  
Yawen Sun ◽  
Ying Hu ◽  
Yao Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Diffusion Tensor ◽  
Internet Gaming Disorder ◽  
Learning Model ◽  
Brain Morphology ◽  
Healthy Controls ◽  
Gaming Disorder ◽  
Internet Gaming ◽  
Machine Learning Model ◽  
And Diffusion

Purpose To identify cerebral radiomic features related to the diagnosis of Internet gaming disorder (IGD) and construct a radiomics-based machine-learning model for IGD diagnosis. Methods A total of 59 treatment-naïve subjects with IGD and 69 age- and sex-matched healthy controls (HCs) were recruited and underwent anatomic and diffusion-tensor magnetic resonance imaging (MRI). The features of the morphometric properties of gray matter and diffusion properties of white matter were extracted for each participant. After excluding the noise feature with single-factor analysis of variance, the remaining 179 features were included in an all-relevant feature selection procedure within cross-validation loops to identify features with significant discriminative power. Random forest classifiers were constructed and evaluated based on the identified features. Results No overall differences in the total brain volume (1,555,295.64 ± 152316.31 mm3 vs. 154,491.19 ± 151,241.11 mm3), total gray (709,119.83 ± 59,534.46 mm3 vs. 751,018.21 ± 58,611.32 mm3) and white (465,054.49 ± 51,862.65 mm3 vs. 470,600.22 ± 47,006.67 mm3) matter volumes, and subcortical region volume (63,882.71 ± 5110.42 mm3 vs. 64,764.36 ± 4332.33 mm3) between the IGD and HC groups were observed. The mean classification accuracy was 73%. An altered cortical shape in the bilateral fusiform, left rostral middle frontal (rMFG), left cuneus, left parsopercularis (IFG), and regions around the right uncinate fasciculus (UF) and left internal capsule (IC) contributed significantly to group discrimination. Conclusions: Our study found the brain morphology alterations between IGD subjects and HCs through a radiomics-based machine-learning method, which may help revealing underlying IGD-related neurobiology mechanisms.

scholarly journals White matter connectivity and Internet gaming disorder

2015 ◽  
Vol 21 (3) ◽  
pp. 732-742 ◽  
Author(s):  
Bum Seok Jeong ◽  
Doug Hyun Han ◽  
Sun Mi Kim ◽  
Sang Won Lee ◽  
Perry F. Renshaw
Keyword(s):  
White Matter ◽  
Internet Gaming Disorder ◽  
Gaming Disorder ◽  
Internet Gaming ◽  
White Matter Connectivity

scholarly journals Abnormal anterior cingulum integrity in bipolar disorder determined through diffusion tensor imaging

2008 ◽  
Vol 193 (2) ◽  
pp. 126-129 ◽  
Author(s):  
Fei Wang ◽  
Marcel Jackowski ◽  
Jessica H. Kalmar ◽  
Lara G. Chepenik ◽  
Karen Tie ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Fractional Anisotropy ◽  
Emotional Regulation ◽  
Structural Integrity ◽  
Diffusion Tensor ◽  
Neural System ◽  
Anterior Cingulate ◽  
Healthy Participants

BackgroundConvergent evidence implicates white matter abnormalities in bipolar disorder. The cingulum is an important candidate structure for study in bipolar disorder as it provides substantial white matter connections within the corticolimbic neural system that subserves emotional regulation involved in the disorder.AimsTo test the hypothesis that bipolar disorder is associated with abnormal white matter integrity in the cingulum.MethodFractional anisotropy in the anterior and posterior cingulum was compared between 42 participants with bipolar disorder and 42 healthy participants using diffusion tensor imaging.ResultsFractional anisotropy was significantly decreased in the anterior cingulum in the bipolar disorder group compared with the healthy group (P=0.003); however, fractional anisotropy in the posterior cingulum did not differ significantly between groups.ConclusionsOur findings demonstrate abnormalities in the structural integrity of the anterior cingulum in bipolar disorder. They extend evidence that supports involvement of the neural system comprising the anterior cingulate cortex and its corticolimbic gray matter connection sites in bipolar disorder to implicate abnormalities in the white matter connections within the system provided by the cingulum.

The topological organization of white matter network in internet gaming disorder individuals

2016 ◽  
Vol 11 (6) ◽  
pp. 1769-1778 ◽  
Author(s):  
Jinquan Zhai ◽  
Lin Luo ◽  
Lijun Qiu ◽  
Yongqiang Kang ◽  
Bo Liu ◽  
...  
Keyword(s):  
White Matter ◽  
Internet Gaming Disorder ◽  
Gaming Disorder ◽  
Internet Gaming ◽  
Topological Organization

P2-338: Education modulates white matter structural integrity in older healthy subjects: A Diffusion Tensor Imaging Study

2011 ◽  
Vol 7 ◽  
pp. S418-S419
Author(s):  
Joanna Connolly ◽  
Jonathan McNulty ◽  
Richard Roche ◽  
Lorraine Boran ◽  
David Delaney ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Healthy Subjects ◽  
Structural Integrity ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Diffusion Tensor Imaging Study

scholarly journals Microglial activation, white matter tract damage, and disability in MS

2018 ◽  
Vol 5 (3) ◽  
pp. e443 ◽  
Author(s):  
Eero Rissanen ◽  
Jouni Tuisku ◽  
Tero Vahlberg ◽  
Marcus Sucksdorff ◽  
Teemu Paavilainen ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Microglial Activation ◽  
Structural Integrity ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Quantitative Mri ◽  
Healthy Controls ◽  
Secondary Progressive ◽  
Diffusion Tensor Imaging Dti

ObjectiveTo investigate the relationship of in vivo microglial activation to clinical and MRI parameters in MS.MethodsPatients with secondary progressive MS (n = 10) or relapsing-remitting MS (n = 10) and age-matched healthy controls (n = 17) were studied. Microglial activation was measured using PET and radioligand [11C](R)-PK11195. Clinical assessment and structural and quantitative MRI including diffusion tensor imaging (DTI) were performed for comparison.Results[11C](R)-PK11195 binding was significantly higher in the normal-appearing white matter (NAWM) of patients with secondary progressive vs relapsing MS and healthy controls, in the thalami of patients with secondary progressive MS vs controls, and in the perilesional area among the progressive compared with relapsing patients. Higher binding in the NAWM was associated with higher clinical disability and reduced white matter (WM) structural integrity, as shown by lower fractional anisotropy, higher mean diffusivity, and increased WM lesion load. Increasing age contributed to higher microglial activation in the NAWM among patients with MS but not in healthy controls.ConclusionsPET can be used to quantitate microglial activation, which associates with MS progression. This study demonstrates that increased microglial activity in the NAWM correlates closely with impaired WM structural integrity and thus offers one rational pathologic correlate to diffusion tensor imaging (DTI) parameters.

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