Erik Roberts

Erik Roberts
University of Michigan | U-M · Department of Anesthesiology

MD PhD
Resident Physician, Department of Anesthesiology, University of Michigan

About

10
Publications
6,432
Reads
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181
Citations
Introduction
As a future anesthesiologist-researcher with a biomedical engineering and computational background, I am interested in perioperative clinical informatics and healthcare technology with the goals of improving patient safety and provider experience. I also have a long-standing fascination with the neural mechanisms of consciousness and anesthesia.
Additional affiliations
September 2014 - present
Boston University
Position
  • Research Assistant
Description
  • Developing a computational model of pathologic neural signaling in Parkinson's disease.
January 2011 - June 2012
University of California, San Diego
Position
  • Research Intern
Description
  • Developed a computational model of heart cell signal transduction.
June 2009 - September 2011
Stanford Medicine
Position
  • Summer Research Intern
Description
  • Developed a workflow to create patient-specific virtual models that support real-time simulation and haptic interaction in a skull base simulator.
Education
August 2012 - June 2019
Boston University
Field of study
  • Medicine, Biomedical Engineering
September 2008 - June 2012
University of California, San Diego
Field of study
  • Bioengineering

Publications

Publications (10)
Thesis
Full-text available
Neural oscillations are a ubiquitous form of neural activity seen across scales and modalities. These neural rhythms correlate with diverse cognitive functions and brain states. One mechanism for changing the oscillatory dynamics of large neuronal populations is through neuromodulator activity. An intriguing phenomenon explored here is when local n...
Article
Airway obstruction and respiratory failure are common complications of neurological emergencies. Anesthesia is often employed for airway management, surgical and endovascular interventions or in the intensive care units in patients with altered mental status or those requiring burst suppression. This article provides a summary of the unique airway...
Article
Full-text available
DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, and exploring network models of neurons with one or more compartments. Models can be specified by equations directly (similar to XPP or the Brian simu...
Article
Full-text available
The capacity for using external cues to guide behavior (“cue detection”) constitutes an essential aspect of attention and goal-directed behavior. The cortical cholinergic input system, via phasic increases in prefrontal acetylcholine release, plays an essential role in attention by mediating such cue detection. However, the relationship between cho...
Article
Full-text available
Cortico-basal ganglia-thalamic (CBT) neural circuits are critical modulators of cognitive and motor function. When compromised, these circuits contribute to neurological and psychiatric disorders, such as Parkinson's disease (PD). In PD, motor deficits correlate with the emergence of exaggerated beta frequency (15-30 Hz) oscillations throughout the...
Article
Full-text available
Importance: This work was performed to advance patient care by protecting patient anonymity. Objectives: This study aimed to analyze the current practices used in patient facial photograph deidentification and set forth standardized guidelines for improving patient autonomy that are congruent with medical ethics and Health Insurance Portability...
Article
Full-text available
Brain neural network is composed of densely packed, intricately wired neurons whose activity patterns ultimately give rise to every behavior, thought, or emotion that we experience. Over the past decade, a novel neurotechnique, optogenetics that combines light and genetic methods to control or monitor neural activity patterns, has proven to be revo...
Conference Paper
Full-text available
Objective: Patient-specific surgical simulation is a new fron- tier that promises great benefits for surgical planning and rehearsal. However, it requires an efficient means of generat- ing virtual anatomic models. Our objective is to develop a workflow to convert clinical imaging data into computation- al representations that support real-time sim...

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