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Intracranial EEG

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https://www.readbyqxmd.com/read/28227963/predicting-seizures-from-local-field-potentials-recorded-via-intracortical-microelectrode-arrays
#1
Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg
The need for new therapeutic interventions to treat pharmacologically resistant focal epileptic seizures has led recently to the development of closed-loop systems for seizure control. Once a seizure is predicted/detected by the system, electrical stimulation is delivered to prevent seizure initiation or spread. So far, seizure prediction/detection has been limited to tracking non-invasive electroencephalogram (EEG) or intracranial EEG (iEEG) signals. Here, we examine seizure prediction based on local field potentials (LFPs) from a small neocortical patch recorded via a 10×10 microelectrode array implanted in a patient with focal seizures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226868/hardware-friendly-seizure-detection-with-a-boosted-ensemble-of-shallow-decision-trees
#2
Mahsa Shoaran, Masoud Farivar, Azita Emami, Mahsa Shoaran, Masoud Farivar, Azita Emami, Masoud Farivar, Azita Emami, Mahsa Shoaran
Efficient on-chip learning is becoming an essential element of implantable biomedical devices. Despite a substantial literature on automated seizure detection algorithms, hardware-friendly implementation of such techniques is not sufficiently addressed. In this paper, we propose to employ a gradientboosted ensemble of decision trees to achieve a reasonable trade-off between detection accuracy and implementation cost. Combined with the proposed feature extraction model, we show that these classifiers quickly become competitive with more complex learning models previously proposed for hardware implementation, with only a small number of low-depth (d <; 4) "shallow" trees...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226667/automatic-seizure-detection-using-correlation-integral-with-nonlinear-adaptive-denoising-and-kalman-filter
#3
Hongda Wang, Chiu-Sing Choy, Hongda Wang, Chiu-Sing Choy, Hongda Wang, Chiu-Sing Choy
The ability of correlation integral for automatic seizure detection using scalp EEG data has been re-examined in this paper. To facilitate the detection performance and overcome the shortcoming of correlation integral, nonlinear adaptive denoising and Kalman filter have been adopted for pre-processing and post-processing. The three-stage algorithm has achieved 84.6% sensitivity and 0.087/h false detection rate, which are comparable to many machine learning based methods, but at much lower computational cost...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28205340/predictive-modeling-of-eeg-time-series-for-evaluating-surgery-targets-in-epilepsy-patients
#4
Andreas Steimer, Michael Müller, Kaspar Schindler
During the last 20 years, predictive modeling in epilepsy research has largely been concerned with the prediction of seizure events, whereas the inference of effective brain targets for resective surgery has received surprisingly little attention. In this exploratory pilot study, we describe a distributional clustering framework for the modeling of multivariate time series and use it to predict the effects of brain surgery in epilepsy patients. By analyzing the intracranial EEG, we demonstrate how patients who became seizure free after surgery are clearly distinguished from those who did not...
February 16, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28194612/simultaneous-intracranial-eeg-fmri-shows-inter-modality-correlation-in-time-resolved-connectivity-within-normal-areas-but-not-within-epileptic-regions
#5
Ben Ridley, Jonathan Wirsich, Gaelle Bettus, Roman Rodionov, Teresa Murta, Umair Chaudhary, David Carmichael, Rachel Thornton, Serge Vulliemoz, Andrew McEvoy, Fabrice Wendling, Fabrice Bartolomei, Jean-Philippe Ranjeva, Louis Lemieux, Maxime Guye
For the first time in research in humans, we used simultaneous icEEG-fMRI to examine the link between connectivity in haemodynamic signals during the resting-state (rs) and connectivity derived from electrophysiological activity in terms of the inter-modal connectivity correlation (IMCC). We quantified IMCC in nine patients with drug-resistant epilepsy (i) within brain networks in 'healthy' non-involved cortical zones (NIZ) and (ii) within brain networks involved in generating seizures and interictal spikes (IZ1) or solely spikes (IZ2)...
February 13, 2017: Brain Topography
https://www.readbyqxmd.com/read/28194221/a-removal-of-eye-movement-and-blink-artifacts-from-eeg-data-using-morphological-component-analysis
#6
Balbir Singh, Hiroaki Wagatsuma
EEG signals contain a large amount of ocular artifacts with different time-frequency properties mixing together in EEGs of interest. The artifact removal has been substantially dealt with by existing decomposition methods known as PCA and ICA based on the orthogonality of signal vectors or statistical independence of signal components. We focused on the signal morphology and proposed a systematic decomposition method to identify the type of signal components on the basis of sparsity in the time-frequency domain based on Morphological Component Analysis (MCA), which provides a way of reconstruction that guarantees accuracy in reconstruction by using multiple bases in accordance with the concept of "dictionary...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28194133/current-and-emerging-potential-of-magnetoencephalography-in-the-detection-and-localization-of-high-frequency-oscillations-in-epilepsy
#7
REVIEW
Eleonora Tamilia, Joseph R Madsen, Patricia Ellen Grant, Phillip L Pearl, Christos Papadelis
Up to one-third of patients with epilepsy are medically intractable and need resective surgery. To be successful, epilepsy surgery requires a comprehensive preoperative evaluation to define the epileptogenic zone (EZ), the brain area that should be resected to achieve seizure freedom. Due to lack of tools and methods that measure the EZ directly, this area is defined indirectly based on concordant data from a multitude of presurgical non-invasive tests and intracranial recordings. However, the results of these tests are often insufficiently concordant or inconclusive...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28185968/the-value-of-diagnostic-bilateral-intracranial-eeg-in-treatment-resistant-focal-epilepsy
#8
Travis C Hill, Benjamin A Rubin, Vineet Tyagi, Jason Theobald, Alyson Silverberg, Mary Miceli, Patricia Dugan, Chad Carlson, Werner K Doyle
OBJECTIVES: We assessed the efficacy and risks of diagnostic bilateral intracranial EEG (bICEEG) in treatment-resistant epilepsy (TRE) patients with poorly lateralized epileptogenic zone (EZ) on non-invasive studies as reflected by progress to resection, Engel outcome and complication rate. METHODS: This is a retrospective chart review of 199 patients with TRE who had diagnostic bICEEG at New York University Medical Center between 1994 and 2013. Study endpoints were progress to resection, surgical outcome and perioperative complications...
February 6, 2017: World Neurosurgery
https://www.readbyqxmd.com/read/28177169/emergency-department-triage-of-traumatic-head-injury-using-brain-electrical-activity-biomarkers-a-multisite-prospective-observational-validation-trial
#9
Daniel Hanley, Leslie S Prichep, Jeffrey Bazarian, J Stephen Huff, Rosanne Naunheim, John Garrett, Elizabeth Jones, David Wright, John O'Neill, Neeraj Badjatia, Dheeraj Gandhi, Kenneth C Curley, Richard Chiacchierini, Brian O'Neil, Dallas C Hack
OBJECTIVES: A brain electrical activity biomarker for identifying traumatic brain injury (TBI) in Emergency Department (ED) patients presenting with high GCS after sustaining a head injury has shown promise for objective, rapid, triage. The main objective of this study was to prospectively evaluate the efficacy of an automated classification algorithm to determine the likelihood of being CT positive, in high functioning TBI patients in the acute state. METHODS: Adult patients admitted to the ED for evaluation within 72 hours of sustaining a closed head injury with GCS 12-15were candidates for study...
February 8, 2017: Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine
https://www.readbyqxmd.com/read/28171851/utility-of-gray-matter-segmentation-of-ictal-interictal-perfusion-spect-and-interictal-18-f-fdg-pet-in-medically-refractory-epilepsy
#10
Kathryn C Elkins, Valeria M Moncayo, Hyunmi Kim, Larry D Olson
PURPOSE: We present a method of gray-matter segmentation of functional neuroimaging for localization of seizure onset zone (SOZ) in epilepsy surgery. (18)F-FDG-PET hypometabolism and ictal SPECT hyperperfusion may correspond to SOZ. We hypothesize that limiting functional images to gray matter improves identification of small, subtle, or obscure cortical volumes of (18)F-FDG-PET hypometabolism and eliminates hyperperfused seizure propagation pathways within white matter in ictal perfusion SPECT...
January 30, 2017: Epilepsy Research
https://www.readbyqxmd.com/read/28166392/interictal-network-synchrony-and-local-heterogeneity-predict-epilepsy-surgery-outcome-among-pediatric-patients
#11
Samuel B Tomlinson, Brenda E Porter, Eric D Marsh
OBJECTIVE: Epilepsy is a disorder of aberrant cortical networks. Researchers have proposed that characterizing presurgical network connectivity may improve the surgical management of intractable seizures, but few studies have rigorously examined the relationship between network activity and surgical outcome. In this study, we assessed whether local and global measures of network activity differentiated patients with favorable (seizure-free) versus unfavorable (seizure-persistent) surgical outcomes...
February 6, 2017: Epilepsia
https://www.readbyqxmd.com/read/28160749/interrater-reliability-of-visually-evaluated-high-frequency-oscillations
#12
Aaron M Spring, Daniel J Pittman, Yahya Aghakhani, Jeffrey Jirsch, Neelan Pillay, Luis E Bello-Espinosa, Colin Josephson, Paolo Federico
OBJECTIVE: High frequency oscillations (HFOs) and interictal epileptiform discharges (IEDs) have been shown to be markers of epileptogenic regions. However, there is currently no 'gold standard' for identifying HFOs. Accordingly, we aimed to formally characterize the interrater reliability of HFO markings to validate the current practices. METHODS: A morphology detector was implemented to detect events (candidate HFOs, lower-threshold events, and distractors) from the intracranial EEG (iEEG) of ten patients...
December 30, 2016: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28156216/use-of-an-intraventricular-strip-electrode-for-mesial-temporal-monitoring-in-children-with-medically-intractable-epilepsy
#13
Hyunmi Kim, Ahyuda Oh, Larry Olson, Joshua J Chern
OBJECTIVE The objective of this study was to evaluate mesial temporal electroencephalographic (EEG) monitoring, using an intraventricular strip electrode (IVSE) along the ventricular surface of the hippocampus, in children with medically intractable epilepsy. METHODS The authors reviewed 10 consecutive cases in which subdural electrode placements and mesial temporal monitoring were recommended. The median age of the patients was 12.7 years (range 4.5-19.3 years). Both grids and IVSE were placed in all patients...
February 3, 2017: Journal of Neurosurgery. Pediatrics
https://www.readbyqxmd.com/read/28123020/dynamic-reconfiguration-of-visuomotor-related-functional-connectivity-networks
#14
Andrea Brovelli, Jean-Michel Badier, Francesca Bonini, Fabrice Bartolomei, Olivier Coulon, Guillaume Auzias
: Cognitive functions arise from the coordination of large-scale brain networks. However, the principles governing interareal functional connectivity dynamics (FCD) remain elusive. Here, we tested the hypothesis that human executive functions arise from the dynamic interplay of multiple networks. To do so, we investigated FCD mediating a key executing function, known as arbitrary visuomotor mapping, using brain connectivity analyses of high-gamma activity recorded using MEG and intracranial EEG...
January 25, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28113594/epileptic-focus-localization-using-discrete-wavelet-transform-based-on-interictal-intracranial-eeg
#15
Duo Chen, Suiren Wan, Forrest Sheng Bao
Over the past decade, with the development of machine learning, Discrete Wavelet Transform (DWT) has been widely used in computer-aided epileptic EEG signal analysis as a powerful timefrequency tool. But some important problems have not yet been benefitted from DWT, including epileptic focus localization, a key task in epilepsy diagnosis and treatment. Additionally, the parameters and settings for DWT are chosen empirically or arbitrarily in previous work. In this work, we propose a framework to use DWT and Support Vector Machine (SVM) for epileptic focus localization problem based on EEG...
August 30, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28113303/epileptogenic-source-imaging-using-cross-frequency-coupled-signals-from-scalp-eeg
#16
Li Chunsheng, Daniel Jacobs, Trevor Hilton, Martin Del Campo, Yotin Chinvarun, Peter Carlen, Berj Bardakjian
OBJECTIVE: The epileptogenic zone (EZ) is a brain region containing the sources of seizure genesis. Removal of the EZ is associated with cessation of seizures after resective surgical procedures, as measured by Engel Class I score. This study describes a novel EEG source imaging (ESI) method which uses cross frequency coupled potential signals (SCFC) derived from scalp EEG. METHODS: Scalp EEG were recorded from ten patients (20 seizures) suffering from epilepsy...
September 27, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28113204/noninvasive-electromagnetic-source-imaging-and-granger-causality-analysis-an-electrophysiological-connectome-econnectome-approach
#17
Abbas Sohrabpour, Shuai Ye, Gregory A Worrell, Wenbo Zhang, Bin He
: Combined source imaging techniques and directional connectivity analysis can provide useful information about the underlying brain networks in a noninvasive fashion. Source imaging techniques have been used successfully to either determine the source of activity or to extract source time-courses for Granger causality analysis, previously. In this work, we utilize source imaging algorithms to both find the network nodes (regions of interest) and then extract the activation time series for further Granger causality analysis...
October 11, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28109994/postsurgical-outcome-in-patients-with-olfactory-auras-and-drug-resistant-epilepsy
#18
Ali A Asadi-Pooya, Maromi Nei, Elizabeth E Centurion, Matthew Lorenzo, Michael R Sperling
OBJECTIVES: We investigated the clinical features associated with olfactory auras in patients with drug-resistant epilepsy and also hypothesized that this type of aura may predict worse postsurgical outcome in patients with drug-resistant temporal lobe epilepsy (TLE). METHODS: In this retrospective analysis, data from all patients with drug-resistant epilepsy who underwent epilepsy surgery were reviewed. Patients were prospectively registered in a database from 1986 through 2016...
January 18, 2017: Epilepsy & Behavior: E&B
https://www.readbyqxmd.com/read/28104438/safety-of-externally-stimulated-intracranial-electrodes-during-functional-mri-at-1-5t
#19
Pallab K Bhattacharyya, Jeffery Mullin, Bryan S Lee, Jorge A Gonzalez-Martinez, Stephen E Jones
Surgical resection of the epileptogenic zone (EZ) is a potential cure for medically refractory focal epilepsy. Proper identification of the EZ is essential for such resection. Synergistic application of functional magnetic resonance imaging (fMRI) simultaneously with stimulation of a single externalized intracranial stereotactic EEG (SEEG) electrode has the potential to improve identification of the EZ. While most EEG-fMRI studies use the electrodes passively to record electrical activity, it is possible to stimulate the brain using the electrodes by connecting them with conducting cables to the stimulation hardware...
January 16, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28100728/direct-cortical-stimulation-of-human-posteromedial-cortex
#20
Brett L Foster, Josef Parvizi
BACKGROUND: The posteromedial cortex (PMC) is a collective term for an anatomically heterogeneous area of the brain constituting a core node of the human default mode network (DMN), which is engaged during internally focused subjective cognition such as autobiographical memory. METHODS: We explored the effects of causal perturbations of PMC with direct electric brain stimulation (EBS) during presurgical epilepsy monitoring with intracranial EEG electrodes. RESULTS: Data were collected from 885 stimulations in 25 patients implanted with intracranial electrodes across the PMC...
January 18, 2017: Neurology
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