ReviewFrontiers in human neuroscience2015
Neural Connectivity in Epilepsy as Measured by Granger Causality.
Review in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 55 citations in OpenAlex.
- Perturbation-evoked cortical responses and altered causal information flow reflect more effortful but less efficient postural control in patients after ACLR.Scientific reports · 2026Article
- Dynamic modulations of effective brain connectivity associated with postural instability during multi-joint compound movement on compliant surface.Experimental brain research · 2025Article
- Altered Directed-Connectivity Network in Temporal Lobe Epilepsy: A MEG Study.Sensors (Basel, Switzerland) · 2025Article
- Virtual resection evaluation based on sEEG propagation network for drug-resistant epilepsy.Scientific reports · 2024Article
- Changes of brain functional network in Alzheimer's disease and frontotemporal dementia: a graph-theoretic analysis.BMC neuroscience · 2024Article
- The applied principles of EEG analysis methods in neuroscience and clinical neurology.Military Medical Research · 2023Review
- Spike propagation mapping reveals effective connectivity and predicts surgical outcome in epilepsy.Brain : a journal of neurology · 2023Article
- Editorial: Autonomic nervous system and cardiovascular risk.Frontiers in neuroscience · 2023Article
- Emotion depends on context, culture and their interaction: evidence from effective connectivity.Social cognitive and affective neuroscience · 2022Article
- Brain and brain-heart Granger causality during wakefulness and sleep.Frontiers in neuroscience · 2022Article
- Assessing rheoencephalography dynamics through analysis of the interactions among brain and cardiac networks during general anesthesia.Frontiers in network physiology · 2022Article
- Localizing targets for neuromodulation in drug-resistant epilepsy using intracranial EEG and computational model.Frontiers in physiology · 2022Article
- Ictal neural oscillatory alterations precede sudden unexpected death in epilepsy.Brain communications · 2022Article
- Effective connectivity alteration according to recurrence in transient global amnesia.Neuroradiology · 2021Article
- Combination of Matching Responsive Stimulations of Hippocampus and Subiculum for Effective Seizure Suppression in Temporal Lobe Epilepsy.Frontiers in neurology · 2021Article
- Approximate Entropy of Brain Network in the Study of Hemispheric Differences.Entropy (Basel, Switzerland) · 2020Article
- Prediction of epilepsy seizure from multi-channel electroencephalogram by effective connectivity analysis using Granger causality and directed transfer function methods.Cognitive neurodynamics · 2019Article
- Constructing the Microbial Association Network from Large-Scale Time Series Data Using Granger Causality.Genes · 2019Article
- Dynamic Neuromagnetic Network Changes of Seizure Termination in Absence Epilepsy: A Magnetoencephalography Study.Frontiers in neurology · 2019Article
- Ictal High-Frequency Oscillation for Lateralizing Patients With Suspected Bitemporal Epilepsy Using Wavelet Transform and Granger Causality Analysis.Frontiers in neuroinformatics · 2019Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epilepsy is a chronic neurological disorder characterized by repeated seizures or excessive electrical discharges in a group of brain cells. Prevalence rates include about 50 million people worldwide and 10% of all people have at least one seizure at one time in their lives. Connectivity models of epilepsy serve to provide a deeper understanding of the processes that control and regulate seizure activity. These models have received initial support and have included measures of EEG, MEG, and MRI connectivity. Preliminary findings have shown regions of increased connectivity in the immediate regions surrounding the seizure foci and associated low connectivity in nearby regions and pathways. There is also early evidence to suggest that these patterns change during ictal events and that these changes may even by related to the occurrence or triggering of seizure events. We present data showing how Granger causality can be used with EEG data to measure connectivity across brain regions involved in ictal events and their resolution. We have provided two case examples as a demonstration of how to obtain and interpret such data. EEG data of ictal events are processed, converted to independent components and their dipole localizations, and these are used to measure causality and connectivity between these locations. Both examples have shown hypercoupling near the seizure foci and low causality across nearby and associated neuronal pathways. This technique also allows us to track how these measures change over time and during the ictal and post-ictal periods. Areas for further research into this technique, its application to epilepsy, and the formation of more effective therapeutic interventions are recommended.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.