Graph-Theoretical Analysis Reveals Disrupted Small-World Organization of Cortical Thickness Correlation Networks in Temporal Lobe Epilepsy

Bernhardt, Boris C.; Chen, Zhang; He, Yong; Evans, Alan C.; Bernasconi, Neda

doi:10.1093/cercor/bhq291

Cited by 407 publications

(536 citation statements)

References 86 publications

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“…Prior research has demonstrated that TLE with an early age of onset 15,16,30 or long duration 4 can reorganize the neural representation of language. Ours is the first report that ATL, in the setting of a good seizure outcome, also results in a change in the neural representation of language evident both in terms of regional activation and the functional and white matter connectivity between these regions.…”

Section: Discussionmentioning

confidence: 99%

Functional MRI, resting state fMRI, and DTI for predicting verbal fluency outcome following resective surgery for temporal lobe epilepsy

Osipowicz

Sperling²,

Sharan

et al. 2016

JNS

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929cliNical article J Neurosurg 124:929-937, 2016 P redicting outcome following resective brain surgery remains a high-priority goal in neurology and neurosurgery. Recently, a need for classifying surgical outcome on the basis of functional status, such as cognition, rather than just seizure control, has been articulated. 44 A number of neuroimaging techniques give us insight into the neuroanatomical correlates of cognition. These techniques are increasingly being used as part of presurgical planning algorithms, 11,19,20,28 providing an opportunity to not only gain insights into the functional neuroanatomy of "at-risk" cognition and how it relates to the underlying pathology, but also use such insights to predict cognitive outcome following surgery, such as anterior temporal lobectomy (ATL) for epilepsy.The predictive power and the combined clinical utility of 3 major MRI techniques (functional MRI [fMRI], resting state fMRI [rsfMRI], and diffusion tensor imaging [DTI]) are unknown and untested. These 3 modalities can be conceptually combined to obtain a more complete view of the neural modules and connectivity networks implementing cognition and driving adaptive or maladaptive neuroplasticity responses in the brain. Functional MRI can be used to define an active network implementing a key function that might be "at risk" with temporal lobe surgery (e.g., verbal fluency), although the validity of this approach needs to be established in prospective studies.5 Preoperative fMRI has been shown to be sensitive to language and verbal memory laterality 9 and is a known predictor of cogabbreviatioNs ATL = anterior temporal lobectomy; DTI = diffusion tensor imaging; fMRI = functional MRI; RCI = Reliable Change Index; rsfMRI = resting state fMRI; TLE = temporal lobe epilepsy. obJective Predicting cognitive function following resective surgery remains an important clinical goal. Each MRI neuroimaging technique can potentially provide unique and distinct insight into changes that occur in the structural or functional organization of "at-risk" cognitive functions. The authors tested for the singular and combined power of 3 imaging techniques (functional MRI [fMRI], resting state fMRI, diffusion tensor imaging) to predict cognitive outcome following left (dominant) anterior temporal lobectomy for intractable epilepsy. methods The authors calculated the degree of deviation from normal, determined the rate of change in this measure across the pre- and postsurgical imaging sessions, and then compared these measures for their ability to predict verbal fluency changes following surgery. results The data show that the 3 neuroimaging techniques, in a combined model, can reliably predict cognitive outcome following anterior temporal lobectomy for medically intractable temporal lobe epilepsy. coNclusioNs These findings suggest that these 3 imaging modalities can be used effectively, in an additive fashion, to predict functional reorganization and cognitive outcome following anterior temporal lobectomy.

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Section: Discussionmentioning

confidence: 99%

Functional MRI, resting state fMRI, and DTI for predicting verbal fluency outcome following resective surgery for temporal lobe epilepsy

Osipowicz

Sperling²,

Sharan

et al. 2016

JNS

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“…1,6,10,11,25,26 In addition, the support vector classification accuracy of structural MRI and DTI datasets that exclude the hippocampus can reach approximately 90%. 10 Given that resting-state fMRI can capture dynamic and evolving changes related to epilepsy, 12 we applied RS-FC on the basis of fMRI data.…”

Section: Rsn Analysis Of Brain Regions Beyond the Hippocampusmentioning

confidence: 99%

Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy

et al. 2015

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Although most studies on epilepsy have focused on the epileptogenic zone, epilepsy is a system-level disease characterized by aberrant neuronal synchronization among groups of neurons. Increasingly, studies have indicated that mesial temporal lobe epilepsy may be a network-level disease; however, few investigations have examined resting-state functional connectivity of the entire brain, particularly in patients with mesial temporal lobe epilepsy and hippocampal sclerosis. This study primarily investigated whole-brain resting-state functional connectivity abnormality in patients with mesial temporal lobe epilepsy and right hippocampal sclerosis during the interictal period.

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“…These studies evaluated the relationships between the syndrome alterations and properties such as degree of connectivity, clustering coefficient and hub distribution, demonstrating alterations in MTLE characterized by reduced specificity and global efficiency [Bernhardt et al, 2011; Liao et al, 2010]. Most of the previous graph theory studies in MTLE have applied anatomical parcellation to functional maps and compared differences between right and left MTLE groups in comparison to controls [Bettus et al, 2009; Wang et al, 2009].…”

Section: Introductionmentioning

confidence: 99%

Large‐scale brain networks are distinctly affected in right and left mesial temporal lobe epilepsy

Campos

Coan

Yasuda

et al. 2016

Human Brain Mapping

104

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Mesial temporal lobe epilepsy (MTLE) with hippocampus sclerosis (HS) is associated with functional and structural alterations extending beyond the temporal regions and abnormal pattern of brain resting state networks (RSNs) connectivity. We hypothesized that the interaction of large‐scale RSNs is differently affected in patients with right‐ and left‐MTLE with HS compared to controls. We aimed to determine and characterize these alterations through the analysis of 12 RSNs, functionally parceled in 70 regions of interest (ROIs), from resting‐state functional‐MRIs of 99 subjects (52 controls, 26 right‐ and 21 left‐MTLE patients with HS). Image preprocessing and statistical analysis were performed using UF2C‐toolbox, which provided ROI‐wise results for intranetwork and internetwork connectivity. Intranetwork abnormalities were observed in the dorsal default mode network (DMN) in both groups of patients and in the posterior salience network in right‐MTLE. Both groups showed abnormal correlation between the dorsal‐DMN and the posterior salience, as well as between the dorsal‐DMN and the executive‐control network. Patients with left‐MTLE also showed reduced correlation between the dorsal‐DMN and visuospatial network and increased correlation between bilateral thalamus and the posterior salience network. The ipsilateral hippocampus stood out as a central area of abnormalities. Alterations on left‐MTLE expressed a low cluster coefficient, whereas the altered connections on right‐MTLE showed low cluster coefficient in the DMN but high in the posterior salience regions. Both right‐ and left‐MTLE patients with HS have widespread abnormal interactions of large‐scale brain networks; however, all parameters evaluated indicate that left‐MTLE has a more intricate bihemispheric dysfunction compared to right‐MTLE. Hum Brain Mapp 37:3137–3152, 2016. © 2016 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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Graph-Theoretical Analysis Reveals Disrupted Small-World Organization of Cortical Thickness Correlation Networks in Temporal Lobe Epilepsy

Cited by 407 publications

References 86 publications

Functional MRI, resting state fMRI, and DTI for predicting verbal fluency outcome following resective surgery for temporal lobe epilepsy

Functional MRI, resting state fMRI, and DTI for predicting verbal fluency outcome following resective surgery for temporal lobe epilepsy

Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy

Large‐scale brain networks are distinctly affected in right and left mesial temporal lobe epilepsy

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