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.

 

Postdoctoral Trainees

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. 

   
Stephan Bickel
Stephan Bickel, MD, PhD

Stephan obtained his MD and PhD in neuroscience at the University of Zurich – Switzerland. He worked on electrophysiological and behavioral mouse models of schizophrenia and later as a postdoctoral fellow at the Nathan Kline Institute, New York, with patients with schizophrenia and normal subjects using EEG and fMRI with emphasis on oscillatory and network measures. He continued working on investigating network measures with intracranial EEG, electrical stimulation, and fMRI with Ashesh Mehta, New York, a work that he continued during neurology residency at Montefiore, Bronx, NY with Fred Lado. During his fellowship at Stanford, he will investigate how functional and pathological networks can be modulated with electrical stimulation. 

International visiting scholars

Jenn Meylor
Xiaofang Yang, MA

Xiaofang received her M.A. in computational linguistics from Tsinghua University, China. Her previous research interest rests in the field of natural language processing and brain-computational interfaces, particularly in weaving NLP models into BCI system construction to improve speech prediction accuracy by providing the contextual information. At Stanford University, her interest is to use electrocorticography, along with electrical brain stimulation and cortico-cortical evoked potentials, to identify speech processing neural pathways as well as explore the interactions between the default mode network and the attentional network inside human brain.

Undergraduate Students

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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