Surface-Based Morphometry

Shi, Jie; Wang, Yalin

doi:10.1016/b978-0-12-397025-1.00310-9

Cited by 3 publications

(3 citation statements)

References 33 publications

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“…In the past decades, tremendous progress has been made in the techniques and applications of cortical surface morphometry based on structural MRI ( 22 ). Previous studies have indicated that surface-based brain mapping may offer advantages over volume-based brain mapping to capture the fine structure of cortical anatomy, since it provides a series of cortical measures that possess anatomical meanings, such as cortical thickness (CT) ( 22 , 23 ). To the best of our knowledge, so far, very few studies have conducted surface-based brain mapping in the individuals with IGD.…”

Section: Introductionmentioning

confidence: 99%

Increased Insular Cortical Thickness Associated With Symptom Severity in Male Youths With Internet Gaming Disorder: A Surface-Based Morphometric Study

et al. 2018

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With the rising increase in Internet-usage, Internet gaming disorder (IGD) has gained massive attention worldwide. However, detailed cerebral morphological changes remain unclear in youths with IGD. In the current study, our aim was to investigate cortical morphology and further explore the relationship between the cortical morphology and symptom severity in male youths with IGD. Forty-eight male youths with IGD and 32 age- and education-matched normal controls received magnetic resonance imaging scans. We employed a recently proposed surface-based morphometric approach for the measurement of cortical thickness (CT). We found that youths with IGD showed increased CT in the bilateral insulae and the right inferior temporal gyrus. Moreover, significantly decreased CT were found in several brain areas in youths with IGD, including the bilateral banks of the superior temporal sulci, the right inferior parietal cortex, the right precuneus, the right precentral gyrus, and the left middle temporal gyrus. Additionally, youths with IGD demonstrated a significantly positive correlation between the left insular CT and symptom severity. Our data provide evidence for the finding of abnormal CT in distributed cerebral areas and support the notion that altered structural abnormalities observed in substance addiction are also manifested in IGD. Such information extends current knowledge about IGD-related brain reorganization and could help future efforts in identifying the role of insula in the disorder.

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Section: Introductionmentioning

confidence: 99%

Increased Insular Cortical Thickness Associated With Symptom Severity in Male Youths With Internet Gaming Disorder: A Surface-Based Morphometric Study

et al. 2018

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“…It has been recently demonstrated that examination of the cerebral cortex using SBA is superior to VBM when assessing brain morphology (Panizzon et al., ). Moreover, SBA is attracting more interest because of its subvoxel accuracy and its capability to detect subtle local changes in brain anatomical shapes (Shi & Wang, ). Moreover, although it was long thought to be passive tissue, white matter actively affects brain functions, acting as a relay and coordinating communication between different brain regions (Fields, ).…”

Section: Introductionmentioning

confidence: 99%

“…It has been recently demonstrated that examination of the cerebral cortex using SBA is superior to VBM when assessing brain morphology (Panizzon et al, 2009). Moreover, SBA is attracting more interest because of its subvoxel accuracy and its capability to detect subtle local changes in brain anatomical shapes (Shi & Wang, 2015).…”

Section: Introductionmentioning

confidence: 99%

Are there differences in brain morphology according to handedness?

Jang

Lee

et al. 2017

Brain and Behavior

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ObjectiveThis study aimed to investigate the differences in brain morphology according to handedness.Materials and MethodsForty‐two healthy subjects were enrolled (21 right‐handers and 21 nonright‐handers). The two groups were classified according to the Edinburgh Handedness Inventory. Measures of cortical morphology, such as thickness, surface area, volume, and curvature, and the volumes of subcortical structures, such as the amygdala, caudate, hippocampus, globus pallidus, putamen, and thalamus, were compared between the groups according to handedness using whole‐brain 3D T1‐weighted MRI. In addition, we investigated the white matter differences between the groups using diffusion tensor imaging. Moreover, we quantified correlations between the handedness scales of the Edinburgh Handedness Inventory and each measure of different brain morphologies.ResultsThe volumes of the right putamen and left globus pallidus in nonright‐handed participants were significantly larger than those who were right‐handed (0.3559 vs. 0.3155%, p = .0028; 0.1101 vs. 0.0975%, p = .0025; respectively). Moreover, the volumes of the right putamen and left globus pallidus were negatively correlated with the handedness scales of the Edinburgh Handedness Inventory (r = −.392, p = .0101; r = −.361, p = .0189; respectively). However, the cortex morphology and the other subcortical volumes were not significantly different between the two groups. In addition, we did not find any white matter differences between the groups.ConclusionsWe demonstrated that there were significant differences in brain morphology between right‐handers and nonright‐handers, especially in the basal ganglia, which could produce differences in motor control according to handedness.

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