Swallowing‐related neural oscillation: an intracranial EEG study
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Clinical and Translational Neurology"
DOI: 10.1002/acn3.51344
Abstract: Swallowing is a unique movement due to the indispensable orchestration of voluntary and involuntary movements. The transition from voluntary to involuntary swallowing is executed within milliseconds. We hypothesized that the underlying neural mechanism of swallowing… read more here.
Keywords: oscillation intracranial; eeg study; swallowing related; intracranial eeg ... See more keywords
Linear and nonlinear interrelations show fundamentally distinct network structure in preictal intracranial EEG of epilepsy patients
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24816
Abstract: Resection of the seizure generating tissue can be highly beneficial in patients with drug‐resistant epilepsy. However, only about half of all patients undergoing surgery get permanently and completely seizure free. Investigating the dependences between intracranial… read more here.
Keywords: epilepsy; linear nonlinear; network; intracranial eeg ... See more keywords
F90. Efficacy of simultaneous scalp and intracranial EEG in detecting seizure onset zone
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.04.253
Abstract: Introduction Recently, we showed that three parameters of seizure onset were pertinent in the comparison of scalp and intracranial EEG: latency (La, pattern (Pa, pattern concordance between scalp and intracranial), and location (Lo) concordance. Discrepancy… read more here.
Keywords: intracranial eeg; seizure onset; scalp intracranial; simultaneous scalp ... See more keywords
A skew-based method for identifying intracranial EEG channels with epileptic activity without detecting spikes, ripples, or fast ripples
Sign Up to like & getrecommendations! Published in 2020 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2019.10.025
Abstract: OBJECTIVE To develop a method for identifying intracranial EEG (iEEG) channels with epileptic activity without the need to detect spikes, ripples, or fast ripples. METHODS We compared the skew of the distribution of power values… read more here.
Keywords: method identifying; fast ripples; ripples fast; identifying intracranial ... See more keywords
Interictal Functional Connectivity in Focal Refractory Epilepsies Investigated by Intracranial EEG
Sign Up to like & getrecommendations! Published in 2022 at "Brain Connectivity"
DOI: 10.1089/brain.2021.0190
Abstract: Introduction Focal epilepsies are diseases of neuronal excitability affecting macroscopic networks of cortical and subcortical neural structures. These networks (“epileptogenic networks”) can generate pathological electrophysiological activities during seizures, and also between seizures (interictal period). Many… read more here.
Keywords: connectivity; interictal functional; connectivity focal; intracranial eeg ... See more keywords
Increased delta power as a scalp marker of epileptic activity: a simultaneous scalp and intracranial EEG study.
Sign Up to like & getrecommendations! Published in 2021 at "European journal of neurology"
DOI: 10.1111/ene.15106
Abstract: BACKGROUND To evaluate whether interictal epileptiform discharges (IEDs) that are not visible on the scalp are associated with changes in frequency spectrum on scalp EEG. METHODS We recorded simultaneous scalp high-density EEG and intracranial EEG… read more here.
Keywords: scalp; frequency; power; intracranial eeg ... See more keywords
Daily resting‐state intracranial EEG connectivity for seizure risk forecasts
Sign Up to like & getrecommendations! Published in 2022 at "Epilepsia"
DOI: 10.1111/epi.17480
Abstract: Forecasting seizure risk aims to detect proictal states in which seizures would be more likely to occur. Classical seizure prediction models are trained over long‐term electroencephalographic (EEG) recordings to detect specific preictal changes for each… read more here.
Keywords: connectivity; seizure; seizure risk; risk ... See more keywords
Temporal stability of intracranial EEG abnormality maps for localizing epileptogenic tissue.
Sign Up to like & getrecommendations! Published in 2023 at "Epilepsia"
DOI: 10.1111/epi.17663
Abstract: OBJECTIVE Identifying abnormalities in interictal intracranial EEG, by comparing patient data to a normative map, has shown promise for the localization of epileptogenic tissue and prediction of outcome. The approach typically uses short interictal segments… read more here.
Keywords: temporal stability; epileptogenic tissue; band power; intracranial eeg ... See more keywords
Intracranial EEG in the 21st Century
Sign Up to like & getrecommendations! Published in 2020 at "Epilepsy Currents"
DOI: 10.1177/1535759720934852
Abstract: Intracranial electroencephalography (iEEG) has been the mainstay of identifying the seizure onset zone (SOZ), a key diagnostic procedure in addition to neuroimaging when considering epilepsy surgery. In many patients, iEEG has been the basis for… read more here.
Keywords: epilepsy; 21st century; intracranial eeg; implantation ... See more keywords
Spatiotemporal Patterns of High-Frequency Activity (80–170 Hz) in Long-Term Intracranial EEG
Sign Up to like & getrecommendations! Published in 2021 at "Neurology"
DOI: 10.1212/wnl.0000000000011408
Abstract: Objective To determine the utility of high-frequency activity (HFA) and epileptiform spikes as biomarkers for epilepsy, we examined the variability in their rates and locations using long-term ambulatory intracranial EEG (iEEG) recordings. Methods This study… read more here.
Keywords: high frequency; frequency; hfa; intracranial eeg ... See more keywords
A comparison of uni- and multi-variate methods for identifying brain networks activated by cognitive tasks using intracranial EEG
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.946240
Abstract: Cognitive tasks are commonly used to identify brain networks involved in the underlying cognitive process. However, inferring the brain networks from intracranial EEG data presents several challenges related to the sparse spatial sampling of the… read more here.
Keywords: permutation cluster; brain; cognitive tasks; brain networks ... See more keywords