Altered Effective Connectivity Network in Childhood Absence Epilepsy: A Multi-frequency MEG Study

Wu, Caiyun; Xiang, Jing; Jiang, Wenwen; Huang, Shuyang; Gao, Yuan; Tang, Lu; Zhou, Yuchen; Wu, Di; Chen, Qiqi; Hu, Zizhong; Wang, Xiaoshan

doi:10.1007/s10548-017-0555-1

Cited by 37 publications

(43 citation statements)

References 50 publications

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“…Recent years have also witnessed great advances in neuroimaging modalities such as magneto-and electroencephalography (MEG/EEG), functional magnetic resonance imaging (fMRI), and diffusion tensor imaging (DTI), which provide valuable tools for the identification of networks (Teipel et al, 2009Ciuciu et al, 2014Bönstrup et al, 2015;Wu et al, 2017;Dimitriadis et al, 2018). Among the multimodal neuroimaging techniques, EEG may have some major assets from a clinical perspective since it is non-invasive, inexpensive, and easy to use (Fan and Chou, 2018;Jacobs et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease

et al. 2020

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Growing evidence links impairment of brain functions in Alzheimer's disease (AD) with disruptions of brain functional connectivity. However, whether the AD brain shows similar changes from a dynamic or cross-frequency view remains poorly explored. This paper provides an effective framework to investigate the properties of multiplex brain networks in AD considering inter-frequency and temporal dynamics. Using resting-state EEG signals, two types of multiplex networks were reconstructed separately considering the network interactions between different frequency bands or time points. We further applied multiplex network features to characterize functional integration and segregation of the cross-frequency or time-varying networks. Finally, machine learning methods were employed to evaluate the performance of multiplex-network-based indexes for detection of AD. Results revealed that the brain networks of AD patients are disrupted with reduced segregation particularly in the left occipital area for both cross-frequency and time-varying networks. However, the alteration of integration differs among brain regions and may show an increasing trend in the frontal area of AD brain. By combining the features of integration and segregation in time-varying networks, the best classification performance was achieved with an accuracy of 92.5%. These findings suggest that our multiplex framework can be applied to explore functional integration and segregation of brain networks and characterize the abnormalities of brain function. This may shed new light on the brain network analysis and extend our understanding of brain function in patients with neurological diseases.

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Section: Introductionmentioning

confidence: 99%

Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease

et al. 2020

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“…Alterations of resting-state network in the frontal lobe cortex were also reported in studies on AE [46]. Besides, a multi-frequency MEG study [47] showed that CAE patients displayed frequencyspecific abnormalities in the network pattern even during the inter-ictal period, and the frontal cortex and precuneus/posterior cingulate cortex might play crucial roles in the pathophysiology of CAE. The effective connectivity network of CAE patients was overconnective and random during the inter-ictal period.…”

Section: Reviewmentioning

confidence: 59%

Abnormal Brain Network in Epilepsy and Associated Comorbidites

Yang¹,

Ren²,

Wang³

2018

Neuropsychiatry

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Epilepsy has been recognized as a brain network disorder. With the development of techniques investigating structural and functional brain network, current studies provided insights into the physiopathogenesis of the epilepsy, including focal epilepsy and idiopathic generalized epilepsy. Besides, a number of studies have shed light on the effects of epilepsy on other functional networks, which help to explain cognitive impairment and psychiatric disorders comorbid with epilepsy. In this review, we will discuss current studies that provide structural and functional network evidence of epilepsy or its cognitive and psychiatric comorbidities. Clinical features and outcome of epilepsy result from changes in the networks, which are associated with the clinical course of the disease, the presence of complications and the location of the epileptogenic zone. Different network changes and remodeling are closely related to the efficacy of treatment and prognosis of epilepsy. However, knowledge regarding network mechanism in epilepsy remains limited at present. Further validation through novel investigating techniques data analysis methods are required for its reliable application in the clinical management of individual patients.

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“…In a study specifically examining connectivity changes during the start of seizures, seizures were associated with an increase in the power of delta frequency activity on MEG recordings . This was the same frequency band driving the increased short‐range frontal lobe connectivity during interictal recordings described above . Thus, this might represent another case of transient epileptiform activity inducing persistent connectivity changes.…”

Section: Childhood Absence Epilepsymentioning

confidence: 88%

“…73 This was the same frequency band driving the increased short-range frontal lobe connectivity during interictal recordings described above. 69 Thus, this might represent another case of transient epileptiform activity inducing persistent connectivity changes.…”

Section: Executive Functioning and The Frontal Lobementioning

confidence: 99%

“…67 Consistent with these findings, broad changes in connectivity patterns across the frontal lobes are observed in children with CAE. Most studies suggest an overall increase in frontal lobe connectivity including both short-range and interhemispheric connections in multiple modalities including electroencephalography (EEG), 68 magnetoencephalography (MEG), 69 and fMRI. 65,70 As described above, a trend toward increased connectivity within the frontal lobe was also reported in CECTS.…”

Section: Executive Functioning and The Frontal Lobementioning

confidence: 99%

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The epileptic network and cognition: What functional connectivity is teaching us about the childhood epilepsies

2019

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Our objective was to summarize and evaluate the rapidly expanding body of literature studying functional connectivity in childhood epilepsy. In the self‐limited childhood epilepsies, awareness of cognitive comorbidities has been steadily increasing, and recent advances in our understanding of the network effects of these disorders promise insights into the underlying neurobiology. We reviewed publications addressing functional connectivity in children with epilepsy with an emphasis on studies of children with self‐limited childhood epilepsies. The majority of studies have been published in the past 10 years and predominantly examine childhood epilepsy with centrotemporal spikes and childhood absence epilepsy. Cognitive network alterations are commonly observed across the childhood epilepsies. Some of these effects appear to be nonspecific to epilepsy syndrome or even to category of neurological disorder. Other patterns, such as changes in the connectivity of cortical language areas in childhood epilepsy with centrotemporal spikes, provide clues to the underlying cognitive deficits seen in affected children. The literature to date is dominated by general observations of connectivity patterns without a priori hypotheses. These data‐driven studies build an important foundation for hypothesis generation and are already providing useful insights into the neuropathology of the childhood epilepsies. Future work should emphasize hypothesis‐driven approaches and rigorous clinical correlations to better understand how the knowledge of network alterations can be applied to guidance and treatment for the children in our clinics.

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Altered Effective Connectivity Network in Childhood Absence Epilepsy: A Multi-frequency MEG Study

Cited by 37 publications

References 50 publications

Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease

Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease

Abnormal Brain Network in Epilepsy and Associated Comorbidites

The epileptic network and cognition: What functional connectivity is teaching us about the childhood epilepsies

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