Emad Eskandar

article

Prolonged therapy with the anticonvulsant carbamazepine leads to increased plasma clearance of fentanyl

Ala Nozari, Oluwaseun Akeju, Hooman Mirzakhani, Emad Eskandar, more

Journal of Pharmacy and Pharmacology > 71 > 6 > 982 - 987

Objectives Fentanyl is a potent analgesic that accounts for an increasing number of overdose deaths in the United States. This study tested whether altered pharmacokinetics plays a pivotal role in the increased fentanyl dose requirements in patients receiving the enzyme‐inducing anticonvulsant, carbamazepine. Methods Neurosurgical patients receiving carbamazepine for >6 weeks (N = 11) or no...

article

47. Preferential Role of the Subthalamic Nucleus in Avoidant Decision Making

Todd Herrington, Shaun Patel, Alik Widge, Darin Dougherty, more

Biological Psychiatry > 2017 > 81 > 10(S) > S20

chapter

Predicting local field potentials with recurrent neural networks

Louis Kim, Jacob Harer, Akshay Rangamani, James Moran, more

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) > 808 - 811

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

We present a Recurrent Neural Network using LSTM (Long Short Term Memory) that is capable of modeling and predicting Local Field Potentials. We train and test the network on real data recorded from epilepsy patients. We construct networks that predict multi-channel LFPs for 1, 10, and 100 milliseconds forward in time. Our results show that prediction using LSTM outperforms regression when predicting...

article

A systematic approach to selecting task relevant neurons

Kevin Kahn, Shreya Saxena, Emad Eskandar, Nitish Thakor, more

Journal of Neuroscience Methods > 2015 > 245 > Complete > 156-168

Since task related neurons cannot be specifically targeted during surgery, a critical decision to make is to select which neurons are task-related when performing data analysis. Including neurons unrelated to the task degrade decoding accuracy and confound neurophysiological results. Traditionally, task-related neurons are selected as those with significant changes in firing rate when a stimulus is...

article

Reprint of “Non-causal spike filtering improves decoding of movement intention for intracortical BCIs”

Nicolas Y. Masse, Beata Jarosiewicz, John D. Simeral, Daniel Bacher, more

Journal of Neuroscience Methods > 2015 > 244 > Complete > 94-103

Multiple types of neural signals are available for controlling assistive devices through brain–computer interfaces (BCIs). Intracortically recorded spiking neural signals are attractive for BCIs because they can in principle provide greater fidelity of encoded information compared to electrocorticographic (ECoG) signals and electroencephalograms (EEGs). Recent reports show that the information content...

article

Non-causal spike filtering improves decoding of movement intention for intracortical BCIs

Nicolas Y. Masse, Beata Jarosiewicz, John D. Simeral, Daniel Bacher, more

Journal of Neuroscience Methods > 2014 > 236 > Complete > 58-67

Multiple types of neural signals are available for controlling assistive devices through brain–computer interfaces (BCIs). Intracortically recorded spiking neural signals are attractive for BCIs because they can in principle provide greater fidelity of encoded information compared to electrocorticographic (ECoG) signals and electroencephalograms (EEGs). Recent reports show that the information content...

article

Exploring dependence between brain signals in a monkey during learning

Cristina Gorrostieta, Hernando Ombao, Raquel Prado, Shaun Patel, more

Journal of Time Series Analysis > 33 > 5 > 771 - 778

Our goal is to investigate dependence between brain wave oscillations in the nucleus accumbens (NAc) and the hippocampus (Hc) regions of a macaque monkey during a learning association task. The classical approach to studying dependence in the spectral domain is via cross‐coherence. It is computed for each frequency (or band) and identifies the frequency bands that drive the linear association between...

chapter

Graphical models for localization of the seizure focus from interictal intracranial EEG

Justin Dauwels, Emad Eskandar, Andy Cole, Dan Hoch, more

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) > 745 - 748

ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered from 5 and 6 patients respectively. The proposed algorithms combine spectral and multivariate statistics in a decision-theoretic framework to automatically delineate the seizure onset area. In the case of depth recordings, we...

article

The Need for a Multifactorial Approach to Raise the Standard in Deep Brain Stimulation Reporting

Christian Saleh, John T. Gale, Emad Eskandar

Neuromodulation: Technology at the Neural Interface > 14 > 2 > 183 - 184

article

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

Sridevi V Sarma, Uri T Eden, Ming L Cheng, Ziv M Williams, more

IEEE Transactions on Biomedical Engineering > 2010 > 57 > 6 > 1297 - 1305

Placement of deep brain stimulating electrodes in the subthalamic nucleus (STN) to treat Parkinson's disease (PD) also allows the recording of single neuron spiking activity. Analyses of these unique data offer an important opportunity to better understand the pathophysiology of PD. Despite the point process nature of PD neural spiking activity, point process methods are rarely used to analyze these...

article

Parallel versus serial processing dependencies in the perisylvian speech network: A Granger analysis of intracranial EEG data

David W. Gow, Corey J. Keller, Emad Eskandar, Nate Meng, more

Brain and Language > 2009 > 110 > 1 > 43-48

In this work, we apply Granger causality analysis to high spatiotemporal resolution intracranial EEG (iEEG) data to examine how different components of the left perisylvian language network interact during spoken language perception. The specific focus is on the characterization of serial versus parallel processing dependencies in the dominant hemisphere dorsal and ventral speech processing streams...

article

5. Are cortical tubers epileptogenic? Evidence from electrocorticography

Philippe Major, Sonja Rakowski, Mirela V. Simon, Ming L. Cheng, more

Clinical Neurophysiology > 2008 > 119 > 9 > e96

INFONA - science communication portal

Search results for: Emad Eskandar

Prolonged therapy with the anticonvulsant carbamazepine leads to increased plasma clearance of fentanyl

47. Preferential Role of the Subthalamic Nucleus in Avoidant Decision Making

Predicting local field potentials with recurrent neural networks

A systematic approach to selecting task relevant neurons

Reprint of “Non-causal spike filtering improves decoding of movement intention for intracortical BCIs”

Non-causal spike filtering improves decoding of movement intention for intracortical BCIs

Exploring dependence between brain signals in a monkey during learning

Graphical models for localization of the seizure focus from interictal intracranial EEG

The Need for a Multifactorial Approach to Raise the Standard in Deep Brain Stimulation Reporting

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

Parallel versus serial processing dependencies in the perisylvian speech network: A Granger analysis of intracranial EEG data

5. Are cortical tubers epileptogenic? Evidence from electrocorticography

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