Bio

Clinical Focus


  • Neurology - Child Neurology
  • Neurology

Academic Appointments


Honors & Awards


  • R. S. Fisher award for Teaching, Stanford Department of Neurology (2008)
  • K12 NSADA Award, NIH/NINDS (2008-2011)
  • Chief Resident, Neurology (2007-2008)

Professional Education


  • Fellowship:Stanford Medical Center (06/30/2011) CA
  • Board Certification: Neurology - Child Neurology, American Board of Psychiatry and Neurology (2009)
  • Epilepsy Fellowship, Stanford University Medical Center, Pediatric Epilepsy (2011)
  • Medical Education:Washington University School Of Medicine (05/21/2004) MO
  • Internship:UCSF School of Medicine (06/20/2005) CA
  • Residency:Stanford University Medical Center (06/30/2009) CA

Research & Scholarship

Current Research and Scholarly Interests


My chief clinical focus is in pediatric epilepsy, especially the relationship between stroke and epilepsy. My translational and basic science interests lie in neuronal development and physiology, and in using that knowledge to create treatments for disease, especially in the injured developing brain. To investigate these subjects, I am currently participating as a fellow in the Deisseroth lab, combining techniques of in vivo and in vitro electrophysiology with optogenetics.

Publications

Journal Articles


  • MicroRNA-mediated conversion of human fibroblasts to neurons NATURE Yoo, A. S., Sun, A. X., Li, L., Shcheglovitov, A., Portmann, T., Li, Y., Lee-Messer, C., Dolmetsch, R. E., Tsien, R. W., Crabtree, G. R. 2011; 476 (7359): 228-U123

    Abstract

    Neurogenic transcription factors and evolutionarily conserved signalling pathways have been found to be instrumental in the formation of neurons. However, the instructive role of microRNAs (miRNAs) in neurogenesis remains unexplored. We recently discovered that miR-9* and miR-124 instruct compositional changes of SWI/SNF-like BAF chromatin-remodelling complexes, a process important for neuronal differentiation and function. Nearing mitotic exit of neural progenitors, miR-9* and miR-124 repress the BAF53a subunit of the neural-progenitor (np)BAF chromatin-remodelling complex. After mitotic exit, BAF53a is replaced by BAF53b, and BAF45a by BAF45b and BAF45c, which are then incorporated into neuron-specific (n)BAF complexes essential for post-mitotic functions. Because miR-9/9* and miR-124 also control multiple genes regulating neuronal differentiation and function, we proposed that these miRNAs might contribute to neuronal fates. Here we show that expression of miR-9/9* and miR-124 (miR-9/9*-124) in human fibroblasts induces their conversion into neurons, a process facilitated by NEUROD2. Further addition of neurogenic transcription factors ASCL1 and MYT1L enhances the rate of conversion and the maturation of the converted neurons, whereas expression of these transcription factors alone without miR-9/9*-124 was ineffective. These studies indicate that the genetic circuitry involving miR-9/9*-124 can have an instructive role in neural fate determination.

    View details for DOI 10.1038/nature10323

    View details for Web of Science ID 000293731900041

    View details for PubMedID 21753754

  • Clinical and Molecular Heterogeneity in Patients with the CblD Inborn Error of Cobalamin Metabolism JOURNAL OF PEDIATRICS Miousse, I. R., Watkins, D., Coelho, D., Rupar, T., Crombez, E. A., Vilain, E., Bernstein, J. A., Cowan, T., Lee-Messer, C., Enns, G. M., Fowler, B., Rosenblatt, D. S. 2009; 154 (4): 551-556

    Abstract

    To describe 3 patients with the cblD disorder, a rare inborn error of cobalamin metabolism caused by mutations in the MMADHC gene that can result in isolated homocystinuria, isolated methylmalonic aciduria, or combined homocystinuria and methylmalonic aciduria.Patient clinical records were reviewed. Biochemical and somatic cell genetic studies were performed on cultured fibroblasts. Sequence analysis of the MMADHC gene was performed on patient DNA.Patient 1 presented with isolated methylmalonic aciduria, patient 3 with isolated homocystinuria, and patient 2 with combined methylmalonic aciduria and homocystinuria. Studies of cultured fibroblasts confirmed decreased synthesis of adenosylcobalamin in patient 1, decreased synthesis of methylcobalamin in patient 3, and decreased synthesis of both cobalamin derivatives in patient 2. The diagnosis of cblD was established in each patient by complementation analysis. Mutations in the MMADHC gene were identified in all patients.The results emphasize the heterogeneous clinical, cellular and molecular phenotype of the cblD disorder. The results of molecular analysis of the MMADHC gene are consistent with the hypothesis that mutations affecting the N terminus of the MMADHC protein are associated with methylmalonic aciduria, and mutations affecting the C terminus are associated with homocystinuria.

    View details for DOI 10.1016/j.jpeds.2008.10.043

    View details for Web of Science ID 000264808000020

    View details for PubMedID 19058814

  • Segregation of ON and OFF retinogeniculate connectivity directed by patterned spontaneous activity JOURNAL OF NEUROPHYSIOLOGY Lee, C. W., Eglen, S. J., Wong, R. O. 2002; 88 (5): 2311-2321

    Abstract

    In many parts of the developing nervous system, the early patterns of connectivity are refined by processes that require neuronal activity. These processes are thought to involve Hebbian mechanisms that lead to strengthening and maintenance of inputs that display correlated pre- and postsynaptic activity and elimination of inputs that fire asynchronously. Here we investigated the role of patterned spontaneous retinal activity and Hebbian synaptic mechanisms on segregation of ON and OFF retinal afferents in the dorsal lateral geniculate nucleus (dLGN) of the developing ferret visual system. We recorded extracellularly the spontaneous spike activity of neighboring pairs of ganglion cells and found that OFF cells have significantly higher mean firing rates than ON cells. Spiking is best correlated between cells of the same sign (ON, ON; OFF, OFF) compared with cells of opposite sign (ON, OFF). We then constructed a simple Hebbian model of retinogeniculate synaptic development based on a correlational framework. Using our recorded activity patterns, together with previous calcium-imaging data, we show that endogenous retinal activity, coupled with Hebbian mechanisms of synaptic development, can drive the segregation of ON and OFF retinal inputs to the dLGN. Segregation occurs robustly when heterosynaptic competition is present within time windows of 50-500 ms. In addition, our results suggest that the initial patterns of connectivity (biases in convergence of inputs) and the strength of inhibition in the network each play a crucial role in determining whether ON or OFF inputs dominate at maturity.

    View details for DOI 10.1152/jn.00372.2002

    View details for Web of Science ID 000179080900015

    View details for PubMedID 12424272

  • A nonlinear Hebbian network that learns to detect disparity in random-dot stereograms NEURAL COMPUTATION Lee, C. W., Olshausen, B. A. 1996; 8 (3): 545-566

    Abstract

    An intrinsic limitation of linear, Hebbian networks is that they are capable of learning only from the linear pairwise correlations within an input stream. To explore what higher forms of structure could be learned with a nonlinear Hebbian network, we constructed a model network containing a simple form of nonlinearity and we applied it to the problem of learning to detect the disparities present in random-dot stereograms. The network consists of three layers, with nonlinear sigmoidal activation functions in the second-layer units. The nonlinearities allow the second layer to transform the pixel-based representation in the input layer into a new representation based on coupled pairs of left-right inputs. The third layer of the network then clusters patterns occurring on the second-layer outputs according to their disparity via a standard competitive learning rule. Analysis of the network dynamics shows that the second-layer units' nonlinearities interact with the Hebbian learning rule to expand the region over which pairs of left-right inputs are stable. The learning rule is neurobiologically inspired and plausible, and the model may shed light on how the nervous system learns to use coincidence detection in general.

    View details for Web of Science ID A1996UA30300006

    View details for PubMedID 8868567

  • Computerized mappings of the cerebral cortex: A multiresolution flattening method and a surface-based coordinate system JOURNAL OF COGNITIVE NEUROSCIENCE Drury, H. A., VANESSEN, D. C., Anderson, C. H., Lee, C. W., COOGAN, T. A., Lewis, J. W. 1996; 8 (1): 1-28

    Abstract

    We present a new method for generating two-dimensional maps of the cerebral cortex. Our computerized, two-stage flattening method takes as its input any well-defined representation of a surface within the three-dimensional cortex. The first stage rapidly converts this surface to a topologically correct two-dimensional map, without regard for the amount of distortion introduced. The second stage reduces distortions using a multiresolution strategy that makes gross shape changes on a coarsely sampled map and further shape refinements on progressively finer resolution maps. We demonstrate the utility of this approach by creating flat maps of the entire cerebral cortex in the macaque monkey and by displaying various types of experimental data on such maps. We also introduce a surface-based coordinate system that has advantages over conventional stereotaxic coordinates and is relevant to studies of cortical organization in humans as well as non-human primates. Together, these methods provide an improved basis for quantitative studies of individual variability in cortical organization.

    View details for Web of Science ID A1996UB45900002

    View details for PubMedID 11539144

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