Parvizi Labin the Department of Neurology and Neurological Sciences
Brain waves

LBCN Lab Members

Principal Investigator

Josef Parvizi
Josef Parvizi MD PhD

Josef received his MD from the University of Oslo and PhD in neurosciences from the University of Iowa. He completed his medical internship at Mayo Clinic and Neurology Residency at BIDMC-Harvard before joining the UCLA for fellowship training in Clinical Epilepsy and Neurophysiology.  He moved to Stanford University in July 2007 and started the Human Intracranial Cognitive Electrophysiology Program (SHICEP). His research is now supported by NIH, Stanford NeuroVentures Program, and Stanford School of Medicine.  Josef's expertise is in functional mapping of the human brain using the three methods of electrocorticography, electrical brain stimulation, and functional imaging. For a full bio, see my CAP profile.

 

 

Lab Manager

Vinitha Rangarajan
Vinitha Rangarajan BSc

Vinitha received her B.S. in Biology from the University of California, San Diego with a focus in Physiology & Neuroscience and with research experience from Ramachandran’s lab.  She is currently planning to pursue a graduate degree in Neurosciences.

   
Sandra Gattas
Sandra Gattas

Sandra graduated with a double major in Biology-Systems Physiology and Dance from San Jose State University. She has extensive experience in undergraduate research projects and is currently planning to pursue a career in Medicine. 

 

 

Postdoctoral Trainees

Brett Foster
Brett Foster PhD

Brett received a BSc majoring in psychology and psychophysiology from Swinburne University of Technology (SUT) in Australia, graduating with first class honors in 2004. He completed his PhD in neuroscience at SUT in 2009. His thesis work focused on characterizing changes in resting electrical brain activity during anesthesia, and the implications of these findings for intraoperative monitoring of conscious state (e.g. reducing intraoperative awareness and postoperative recall). His current research seeks to connect basic physiological mechanisms of neural coordination with functional brain networks that are essential for constructing coherent conscious states and their future recall. As a confluence of these interests, he joined the lab in 2010 to study the neural population electrophysiology of human posteromedial cortex (PMC), a unique brain region with pronounced resting-state activity that has been linked to levels of conscious state (e.g. during anesthesia, sleep & seizure); and more cognitively plays an integral role in constructing episodic/autobiographical memories as part of the default-mode network. Brett explores these questions using data collected from intracranial electrophysiological recording and electrical brain stimulation procedures. To enhance these empirical studies, he also works on the modeling, analysis, and interpretation of neural population dynamics in cerebral cortex.

   
Jessica Schrouff PhD
Jessica Schrouff PhD

Jessica obtained her PhD in Applied Sciences at the University of Liège – Belgium in 2013. Her thesis investigated the application of machine learning models to neuroimaging data, tackling the challenging issue of decoding spontaneous brain activity and evaluating the potential utility of multivariate methods as computer-aided diagnostic tools. More recently, she was involved in the design of PRoNTo (Pattern Recognition for Neuroimaging Toolbox), a freely available Matlab toolbox to perform machine learning modeling of neuroimaging data. She is the recipient of Belgian American Educational Foundation - Henri Benedictus Fellowship, and is studying patterns of spontaneous intracranial brain activity.

 

 

Amy Daitch
Amy Daitch PhD

Amy will join the lab in summer 2014 to continue her work on brain network dynamics and their role in cognition and behavior. Amy is currently a graduate student in Biomedical Engineering at Washington University in St. Louis. Her graduate research with Maurizio Corbetta focuses on how modulations of low frequency brain oscillations within and between specific brain networks enable the selection of sensory information with attention. She studies this using a combination of intracranial human recordings (ECoG) and functional neuroimaging. 

   
Liang-Tien (Frank) Hsieh
Liang-Tien (Frank) Hsieh PhD

Frank will join the lab in summer 2014 to continue his work on how the human brain encodes and retrieves stored information. In pursuit of answering these questions, he has been doing his PhD with Charan Rangarajan at UC Davis. He has been studying the human brain activity measured with intracranial EEG, scalp EEG and fMRI while human subjects are performing memory task. His graduate research includes a project that aims to delineate the functional contributions of the prefrontal cortex (PFC), posteromedial cortex (PMC) and medial temporal lobes (MTL) to temporal context memory. 

 

Graduate Students

Jennifer Shum BSc.
Jennifer Shum BSc

Jennifer received her B.Sc. in Biological and Environmental Engineering at Cornell University. She was awarded Whitaker International Fellowship in 2008 to do biomedical engineering research at the Friedrich Miescher Institute in Basel, Switzerland. Currently in the lab, Jennifer has received Medical Scholars Funding to study how cognition is affected during seizure in patients with medial temporal lobe epilepsy.

   
Itir Kasikci
Itır Kaşıkçı, MSc

Itır graduated with double major in Psychology and Sociology from Istanbul Bilgi University and realized that she could not stop thinking about the human brain. She was enrolled in Neuroscience program at Istanbul University and collected simultaneous EEG-fMRI recordings during short-term memory paradigms. She earned her M.Sc. in Neurosciences in 2012 and has joined our lab since then. She is now analyzing the dynamics of distributed neuronal activity within the human brain during arithmetic processing using ECoG data. She is interested in recording simultaneously from multiple regions of the brain and exploring their electrophysiological relationship.

   

Pooya Ehsani, BSc
Pooya Ehsani, BSc

Pooya received his B.Sc. in Electrical Engineering from Sharif University of Technology in 2012. He is currently pursuing a Ph.D. at Stanford in Electrical Engineering. He is interested in using machine learning methods to understand the electrophysiological signatures of human cognition and behavior.

   
William R Shirer
William R. Shirer

Will graduated from Boston College with a BA in Psychology, and is currently a medical student in the School of Medicine. Will is interested in the network organization of the brain, and is particularly interested in how these networks are altered by neurological disorders. His research focuses on integrating electrocorticography (ECoG) with resting state fMRI (rs-fMRI) to examine widespread neural networks with high spatial and temporal resolution. The goal of his research is to better-characterize the nature of brain networks, and to leverage this information to improve the diagnosis and treatment of patients.

 

Undergraduate Students

Michael Iorga
Michael Iorga

Michael is an undergraduate student at Stanford University majoring in Biology. His research interests revolve around understanding neural systems through brain signal processing. Michael is currently working on phase-locking of brain signals during cognitive paradigms and before seizures, as well as sonification of EEG data.

   
Jenn Meylor
Jenn Meylor

Jenn is an undergraduate student at Stanford University majoring in Biology and with a concentration in Neurobiology. She is the recipient of Indian Health Service Scholarship and has completed research at Harvard Medical School focusing on genes and human development, and is currently involved in studying the relationship between brain activity and cognitive functions and behavior using advances in intracranial  electrophysiological recordings in patients with epilepsy. 

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