LBCN Lab Members

Principal Investigator

Josef Parvizi, MD, PhD
Professor of Neurology & Neurological Sciences

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, National Science Foundation, 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.


Junior Faculty

Rodrigo Braga, PhD
Instructor, Neurology & Neurological Sciences

Rodrigo’s research aims to understand the function and physiology of the distributed networks that occupy association cortex. A long-standing hypothesis is that these large-scale networks are specialized for different cognitive processes. Revealing the nature of these specializations requires functional imaging to be conducted with enough precision to resolve functional zones that are finely juxtaposed and interdigitated along the complex geometry of the cortical surface. To this end, Rodrigo uses dense-sampling fMRI techniques that can delineate functional anatomy with precision within individuals. At Stanford, Rodrigo will combine fMRI network mapping with intracranial methods that can reveal the electrophysiological basis of the distributed networks, including how network regions interact to form networks, and how different networks interact to perform cognitive functions. Rodrigo holds a K99 Pathway to Independence Award from the National Institute of Health.


Postdoctoral Trainees

Aaron Kucyi, PhD

Aaron completed a PhD at the University of Toronto in 2014 where he studied how the brain’s attention networks interact with processing of pain perception, using functional neuroimaging. After completing a postdoctoral fellowship at Massachusetts General Hospital/Harvard Medical School (2014-2016), he received a Banting Fellowship from the Canadian Institutes of Health Research for his research at the LBCN. His current work with intracranial recordings and electrical brain stimulation focuses on the electrophysiological dynamics of attention networks, with a special interest in the function of the default mode network.


Su Liu, PhD

Su received her PhD in biomedical engineering at University of Houston. Her research in clinical neural engineering and neuroscience areas has mainly focused on the computerized analysis of human intracranial EEG recordings in patients with neurological disorders using machine learning techniques and other computational methods. During her PhD, she had been particularly interested in the development of algorithms for the quantitative analysis of signature high-frequency neuronal activities in human iEEG. Su joined the lab as a post-doctoral fellow in Oct. 2017 and is working on the application of electrical brain stimulation in probing the causal importance of cortical networks in specific cognitive functions, as well as in the neuromodulation of epileptic networks.

Pedro Pinheiro-Chagas, PhD

Pedro completed his PhD in cognitive neuroscience at Sorbonne University (Paris) under the direction of Stanislas Dehaene. His work focused on characterizing the processing stages of arithmetic calculations, using continuous behavioral measures (e.g. trajtracker.com) and machine learning applied to MEG signals. As a postdoc at LBCN, Pedro will combine intracranial electrophysiological recordings and electrical brain stimulation to study the neural architecture and dynamics of the brain networks engaged in elementary mathematical reasoning. 

 

Medical Student

Kieran Fox, PhD

Kieran completed his PhD in cognitive neuroscience at the University of British Columbia (Vancouver) in 2016. His research focused on investigating the neural correlates of meditation, metacognition, and mind-wandering using a mix of functional (fMRI) and morphometric (DTI) neuroimaging methods. He also spearheaded several statistical meta-analyses assessing the rigor and replicability of cognitive neuroimaging data. He joined the LBCN in 2017 to pursue these lines of research using intracranial electrophysiological recording and stimulation in humans, with a focus on the role of the hippocampus and medial temporal lobe in generating thoughts and memories.

Research Assistant

Clara Sava-Segal

Clara received her BA in both Psychology and Comparative Human Development with a minor in Biology from the University of Chicago. As an undergraduate, she mostly used electrophysiological and behavioral methods to study approximate number discrimination in the human visual system. She was also involved in research focused on selective attention and visual working memory mechanisms, and oscillatory entrainment to language, and used mouse models to investigate cerebellar protein expression in ataxia. Clara is now using intracranial recordings to further investigate mathematical cognition and network interactions.

Undergraduate Research Assistant

Dani Beam

Dani is an undergraduate research assistant, pursuing a BS in psychology with a concentration in neuroscience. She joined the lab in 2016 at the beginning of her sophomore year, and is using intracranial electrophysiological recordings in human patients to study the effects of emotional reactivity on perception and behavior, as well as to understand how the temporal dynamics of the presentation of emotional stimuli modulate neural activity.  Additionally, Dani is studying how electrical brain stimulation can affect subjective emotional experiences, as well as analyzing the effect of various treatment factors on the clinical outcomes of epilepsy patients.

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