Structural Covariance Network of Cortical Gyrification in Benign Childhood Epilepsy with Centrotemporal Spikes

Jiang, Lin; Zhang, Tijiang; Lv, Fajin; Li, Shiguang; Liu, Heng; Zhang, Zhiwei; Luo, Tianyou

doi:10.3389/fneur.2018.00010

Cited by 16 publications

(11 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, we found increased cortical gyrification in the left hemisphere and partial right hemisphere and decreased cortical gyrification in the left hemisphere. Further, we found the BECTS patients' neuropsychological scores were under or near normal, which was observed in some studies (6,10,12,23). As we all know, BECTS has language impairment and has indeed been recognized to belong to the epilepsy aphasia spectrum (24,25).…”

Section: Discussionsupporting

confidence: 64%

Surface-based morphometry study of the brain in benign childhood epilepsy with centrotemporal spikes

Li¹,

Zhang²,

Wang³

et al. 2020

Ann Transl Med

Self Cite

View full text Add to dashboard Cite

Background: The study aimed to explore cortical morphology in benign childhood epilepsy with centrotemporal spikes (BECTS) and the relationship between cortical characteristics and age of onset and intelligence quotient (IQ). Methods: Cortical morphometry with surface-based morphometry (SBM) was used to compare changes in cortical thickness, gyrification, sulcal depth, and fractal dimension of the cerebral cortex between 25 BECTS patients and 20 healthy controls (HCs) with two-sample t-tests [P<0.05, family-wise error (FWE) corrected].Relationships between abnormal cortical morphological changes and age of onset and IQ, which included verbal intelligence quotient (VIQ), performance intelligence quotient (PIQ), and full-scale intelligence quotient (FIQ) were investigated with Spearman correlation analysis (P<0.05, uncorrected). Results:The BECTS patients showed extensive cortical thinning predominantly in bilateral frontal, temporal regions, and limbic system. Cortical gyrification increased in the left hemisphere and partial right hemisphere, and the decreased cortical gyrification was only in the left hemisphere. The increased sulcal depth was the left fusiform gyrus. There are no statistically significant differences in the fractal dimension.Correlation analysis revealed the negative correlation between age of onset and cortical thickness in the right precentral gyrus. It also revealed the negative correlation between the age of onset and cortical gyrification in the left inferior parietal gyrus. Also, there was negative correlation between VIQ and cortical gyrification in the left supramarginal gyrus of BECTS patients.Conclusions: This study reveals aberrant cortical thickness, cortical gyrification, and sulcal depth of BECTS in areas related to cognitive functions including language, attention and memory, and the correlation between some brain regions and VIQ and age of onset, providing a potential marker of early neurodevelopmental disturbance and cognitive dysfunction in BECTS.

show abstract

Section: Discussionsupporting

confidence: 64%

Surface-based morphometry study of the brain in benign childhood epilepsy with centrotemporal spikes

Li¹,

Zhang²,

Wang³

et al. 2020

Ann Transl Med

Self Cite

View full text Add to dashboard Cite

show abstract

“…The node was identified as a hub when regional value was at least 2 SDs larger than the mean value. For a detailed description of the above-mentioned measures and mathematical formulas, please refer to (Watts and Strogatz, 1998; Lerch and Evans, 2005; Bassett and Bullmore, 2006; Bullmore and Bassett, 2011), and our recent publications (Jiang et al, 2016, 2018).…”

Section: Methodsmentioning

confidence: 99%

“…Covariance network analysis of cortical morphology provides a non-invasive tool to probe large-scale brain microstructure abnormalities (Lerch et al, 2006; He et al, 2007, 2008; Alexander-Bloch et al, 2013; DuPre and Spreng, 2017; Xu et al, 2017; Jiang et al, 2018). Such researches have promoted the quantification of anatomical links among cortical parcellations based on inter-regional covariation of various morphometric features, such as CT. A vital assumption underlying structural covariance networks (SCNs) is that the morphological characteristics of inter-areal gray matter would covary since they share common development, maturation and disease propagation effects (Raznahan et al, 2011; Alexander-Bloch et al, 2013; DuPre and Spreng, 2017; Liu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy

Liu

Jiang

Bi³

et al. 2019

Front. Hum. Neurosci.

Self Cite

View full text Add to dashboard Cite

Bilateral cerebral palsy (BCP) is a common movement disorder in children, which often results in lifelong motor disability. One main symptom of BCP is the limitation of hand function in everyday activities. However, the neuroanatomical basis of this prominent hand impairment is yet to discover. Recent advances mainly focus on the lesions of BCP, but the views on the atypical development of cortical parcellations are extremely lacking. Here, in our study, neuroimaging with network analysis was employed to evaluate the changes of structural covariance networks (SCNs) in BCP children. We aimed to elucidate the alteration of SCNs based on cortical thickness (CT), and to reveal the relationship of CT and hand function in the participants with BCP. SCNs were constructed using covariance between regional CT, which was acquired from T1-weighted images of 19 children with BCP and 19 demographically matched healthy controls (HCs). Compared with HCs, BCP children showed increased CT in several regions involving the bilateral areas (lateral occipital, lingual, and fusiform) and right areas (cuneus, pericalcarine, inferior temporal, middle temporal, superior temporal, and insula). Decreased CT was found in the left superior temporal and right superior parietal cortices. Global network analyses revealed significantly decreased normalized clustering and small-worldness in the BCP network. The area under the curve (AUC) of global network measures varied slightly between the BCP and HC networks. The resistance of the both SCNs to the target and random attack showed no significant difference. Also, the BCP foci (right superior temporal and subtemporal cortex) showed a significantly negative correlation between the CT and manual ability. In this work, we identified the CT-based SCNs changes in children with BCP. The abnormal topological organization of SCNs was revealed, indicating abnormal CT, incongruous development of structural wiring, destructive nodal profiles of betweenness, and moved hub distribution in BCP children. This may provide a neuroanatomical hallmark of BCP in the developing brain. Therefore, our results may not only reflect neurodevelopmental aberrations but also compensatory mechanisms.

show abstract

“…Recently, structural correlation network (SCN), a graph theory analysis, proposed a specific method to explore brain organization ( 22 – 24 ). SCN employs correlation analysis for a cross-sectional imaging data, could measure synchronized morphological alterations undergoing common pathological processes between brain regions ( 25 , 26 ).…”

Section: Introductionmentioning

confidence: 99%

Alterations of Brain Structural Network in Parkinson’s Disease With and Without Rapid Eye Movement Sleep Behavior Disorder

et al. 2018

View full text Add to dashboard Cite

Background and objectiveRapid eye movement sleep behavior disorder (RBD) has a strong association with alpha synucleinpathies such as Parkinson’s disease (PD) and PD patients with RBD tend to have a poorer prognosis. However, we still know little about the pathogenesis of RBD in PD. Therefore, we aim to detect the alterations of structural correlation network (SCN) in PD patients with and without RBD.Materials and methodsA total of 191 PD patients, including 51 patients with possible RBD (pRBD) and 140 patients with non-possible RBD, and 76 normal controls were included in the present study. Structural brain networks were constructed by thresholding gray matter volume correlation matrices of 116 regions and analyzed using graph theoretical approaches.ResultsThere was no difference in global properties among the three groups. Significant enhanced regional nodal measures in limbic system, frontal-temporal regions, and occipital regions and decreased nodal measures in cerebellum were found in PD patients with pRBD (PD-pRBD) compared with PD patients without pRBD. Besides, nodes in frontal lobe, temporal lobe, and limbic system were served as hubs in both two PD groups, and PD-pRBD exhibited additionally recruited hubs in limbic regions.ConclusionBased on the SCN analysis, we found PD-pRBD exhibited a reorganization of nodal properties as well as the remapping of the hub distribution in whole brain especially in limbic system, which may shed light to the pathophysiology of PD with RBD.

show abstract

Structural Covariance Network of Cortical Gyrification in Benign Childhood Epilepsy with Centrotemporal Spikes

Cited by 16 publications

References 48 publications

Surface-based morphometry study of the brain in benign childhood epilepsy with centrotemporal spikes

Surface-based morphometry study of the brain in benign childhood epilepsy with centrotemporal spikes

Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy

Alterations of Brain Structural Network in Parkinson’s Disease With and Without Rapid Eye Movement Sleep Behavior Disorder

Contact Info

Product

Resources

About