Altered local spontaneous activity in frontal lobe epilepsy: a resting‐state functional magnetic resonance imaging study

Dong, Li; Li, Hechun; He, Zhongqiong; Jiang, Sisi; Klugah‐Brown, Benjamin; Chen, Lin; Wang, Pu; Tan, Song; Chen, Luo; Yao, Dezhong

doi:10.1002/brb3.555

Cited by 13 publications

(9 citation statements)

References 45 publications

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“…In the absence of seizure patients, the DMN can show altered integration related to awareness and cognition, even in the absence of interictal epileptic activity or seizures (35). Another FLE study revealed an association between abnormality in frontal-DMN zones and cognitive deficit (27). Decreased DMN connectivity is thought to reflect impaired consciousness, which is a common symptom in patients with extratemporal lobe epilepsy.…”

Section: B C Amentioning

confidence: 99%

Regional and remote connectivity patterns in focal extratemporal lobe epilepsy

Liu¹,

Yue²,

Gong³

et al. 2021

Ann Transl Med

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Background: Focal epilepsy accounts for most epilepsy cases, and frontal lobe epilepsy (FLE) accounts for the largest proportion of cases of extratemporal epilepsy syndrome. The epileptogenic zone is usually not easy to locate, contributing to a lack of imaging studies. The objective of this study was to evaluate functional connectivity patterns to explore the underlying pathological mechanisms of this disorder.Methods: Forty-three patients with focal extratemporal epilepsy [mean age ± standard deviation (SD): 29.51±8.04 years, 19 males] and the same number of healthy controls (mean age ± SD: 29.56±8.02 years, 19 males) were recruited to undergo functional magnetic resonance imaging. Mean regional homogeneity (ReHo) was measured, and regions showing significant alterations in ReHo in patients were identified to examine functional connectivity (FC). In particular, FC within the default mode network (DMN) in patients was analyzed.Results: Patients with extratemporal lobe epilepsy showed significantly higher ReHo in the bilateral precentral gyrus, and lower ReHo in frontal-cerebellum regions than healthy controls [P<0.05, Gaussian random field (GRF)-corrected]. FC analysis based on regions of interest showed significantly higher connectivity in the frontoparietal-insula region and lowered FC in the frontal-cerebellum regions (P<0.05, GRF-corrected). Altered FC within DMN was also demonstrated (P<0.05, GRF-corrected).Conclusions: Analyses of ReHo and FC based on regions of interest suggest epilepsy-related neural networks are located mainly in frontal regions in extratemporal lobe epilepsy. These findings reveal disruptions of interactions and connectivity of large-scale neural networks and frontotemporal-cerebellar regions, suggesting connectivity-based pathophysiology.

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Section: B C Amentioning

confidence: 99%

Regional and remote connectivity patterns in focal extratemporal lobe epilepsy

Liu¹,

Yue²,

Gong³

et al. 2021

Ann Transl Med

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“…In the last two decades resting-state functional magnetic resonance imaging (resting-state functional MRI) has emerged as a useful method to identify the neuropathological signatures for different subtypes of epilepsy ( Centeno and Carmichael, 2014 ; Chen et al, 2017 ; Gupta et al, 2017 ; Paldino et al, 2017 ; Peng and Hsin, 2017 ; Wang et al, 2017 ). For example, alterations in the default mode network (DMN) and thalamus were detected in childhood absence epilepsy ( Wang et al, 2017 ); The thalamus was shown to be impacted in patients suffering from generalized temporal lobe epilepsy ( Peng and Hsin, 2017 ), while the basal ganglia was strongly implicated in frontal lobe epilepsy ( Dong et al, 2016a , Dong et al, 2016b ). For patients with juvenile myoclonic epilepsy (JME) functional connectivity disturbances in both the thalamo-motor and thalamo-frontal networks were found ( Dong et al, 2016b ; Jiang et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Juvenile myoclonic epilepsy has hyper dynamic functional connectivity in the dorsolateral frontal cortex

Wang

Berglund

Uppman

et al. 2019

NeuroImage: Clinical

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PurposeCharacterize the static and dynamic functional connectivity for subjects with juvenile myoclonic epilepsy (JME) using a quantitative data-driven analysis approach.MethodsWhole-brain resting-state functional MRI data were acquired on a 3 T whole-body clinical MRI scanner from 18 subjects clinically diagnosed with JME and 25 healthy control subjects. 2-min sliding-window approach was incorporated in the quantitative data-driven data analysis framework to assess both the dynamic and static functional connectivity in the resting brains. Two-sample t-tests were performed voxel-wise to detect the differences in functional connectivity metrics based on connectivity strength and density.ResultsThe static functional connectivity metrics based on quantitative data-driven analysis of the entire 10-min acquisition window of resting-state functional MRI data revealed significantly enhanced functional connectivity in JME patients in bilateral dorsolateral prefrontal cortex, dorsal striatum, precentral and middle temporal gyri. The dynamic functional connectivity metrics derived by incorporating a 2-min sliding window into quantitative data-driven analysis demonstrated significant hyper dynamic functional connectivity in the dorsolateral prefrontal cortex, middle temporal gyrus and dorsal striatum. Connectivity strength metrics (both static and dynamic) can detect more extensive functional connectivity abnormalities in the resting-state functional networks (RFNs) and depict also larger overlap between static and dynamic functional connectivity results.ConclusionIncorporating a 2-min sliding window into quantitative data-driven analysis of resting-state functional MRI data can reveal additional information on the temporally fluctuating RFNs of the human brain, which indicate that RFNs involving dorsolateral prefrontal cortex have temporal varying hyper dynamic characteristics in JME patients. Assessing dynamic along with static functional connectivity may provide further insights into the abnormal function connectivity underlying the pathological brain functioning in JME.

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“…Since IGE has been recognized as a neurological disorder which implicates widespread local brain regions, we presume that the FOCA metric possesses higher efficacy to detect the regions with aberrant spontaneous activity and provides more reliable results to reveal epileptic brain spontaneous activity in patients with GTCS. The FOCA metric has been implied to frontal lobe epilepsy, which revealed abnormal FOCA in DMN, frontal regions, basal ganglia and cerebellum (Dong et al, 2016 ). Besides, the FOCA has been used in the study of schizophrenia to investigate the local consistency (Chen et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Altered Local Spatiotemporal Consistency of Resting-State BOLD Signals in Patients with Generalized Tonic-Clonic Seizures

Jiang

Peng

et al. 2017

Front. Comput. Neurosci.

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The purpose of this study was to evaluate the spatiotemporal Consistency of spontaneous activities in local brain regions in patients with generalized tonic-clonic seizures (GTCS). The resting-state fMRI data were acquired from nineteen patients with GTCS and twenty-two matched healthy subjects. FOur-dimensional (spatiotemporal) Consistency of local neural Activities (FOCA) metric was used to analyze the spontaneous activity in whole brain. The FOCA difference between two groups were detected using a two sample t-test analysis. Correlations between the FOCA values and features of seizures were analyzed. The findings of this study showed that patients had significantly increased FOCA in motor-related cortex regions, including bilateral supplementary motor area, paracentral lobule, precentral gyrus and left basal ganglia, as well as a substantial reduction of FOCA in regions of default mode network (DMN) and parietal lobe. In addition, several brain regions in DMN demonstrated more reduction with longer duration of epilepsy and later onset age, and the motor-related regions showed higher FOCA value in accompany with later onset age. These findings implicated the abnormality of motor-related cortical network in GTCS which were associated with the genesis and propagation of epileptiform activity. And the decreased FOCA in DMN might reflect the intrinsic disturbance of brain activity. Moreover, our study supported that the FOCA might be potential tool to investigate local brain spontaneous activity related with the epileptic activity, and to provide important insights into understanding the underlying pathophysiological mechanisms of GTCS.

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Altered local spontaneous activity in frontal lobe epilepsy: a resting‐state functional magnetic resonance imaging study

Cited by 13 publications

References 45 publications

Regional and remote connectivity patterns in focal extratemporal lobe epilepsy

Regional and remote connectivity patterns in focal extratemporal lobe epilepsy

Juvenile myoclonic epilepsy has hyper dynamic functional connectivity in the dorsolateral frontal cortex

Altered Local Spatiotemporal Consistency of Resting-State BOLD Signals in Patients with Generalized Tonic-Clonic Seizures

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