Tay Netoff

Headshot of Tay Netoff

Tay Netoff

Professor,
Department of Biomedical Engineering

Contact

Nils Hasselmo Hall
Rm 6-122
312 Church St SE

Minneapolis,

MN

55455

Affiliations

Director, Center for Neuroengineering
Education
  • BA, Psychology, University of California, Berkeley, 1994

  • PhD, Neuroscience, George Washington University, 2001

  • Postdoctoral Fellow, Center for BioDynamics, Boston University, 2001-2006

Research Interests

Neuroscience and the study of epilepsy

Epilepsy is one of the most common neurological diseases and is defined by the regular occurrence of seizures. Seizures have many different etiologies indicating that they are not produced by a single mechanism. The goal of my lab is to better understand how seizures are generated.

We are particularly interested in how inhibitory neurons play a role in seizure activity. Much epilepsy research has focused on the excitatory cells because of the large amount of activation of neurons during a seizure. Our research leads us to believe that inhibitory cells may play a significant role in the onset of seizures.

We study seizures in slices of brain tissue using patch-clamp recording and dynamic clamp techniques as well as optical imaging. We supplement our experiments with modeling large networks of neurons to test our hypotheses in a controlled experimental condition.

Patch clamp recordings

Using a micropipette of glass pulled to a very fine tip, we can record from a neuron with such high fidelity we can measure the synaptic inputs impinging on the neuron.

By patching two cells simultaneously and recording seizures, I discovered that synchrony between cells decreased during seizures, contrary to the common dogma that seizures are "hypersynchronous" neuronal activity.

Dynamic clamp

This is a relatively new technique where you use a computer to calculate the current to be injected into a cell based on the voltage recorded at the cell. This allows us to:

  • Create very complicated protocols.

  • Simulate synaptic conductances (rather than currents that are independent of the voltage of the cell).

  • Couple two neurons using virtual synapses.

  • Simulate a neuron on the computer and connect it to a real neuron.

  • Simulate ion channel conductances.

We use the dynamic clamp to measure phase response curves (PRCs) of neurons. This is a dynamical measure of a cell where we measure how much a synaptic input modulates the timing of an action potential in a periodically firing neuron.

PRCs are extremely useful for predicting how a change, such as the increase or decrease in a particular ion channel density, could affect a network of neurons.

Imaging

Patch clamp is limited to recording from one or two cells at a time. Optical imaging allows for the recording from hundreds of cells simultaneously. Particular classes of calcium dyes allow us to load cells with the dye and measure the change in intracellular calcium concentrations that occurs with cellular activity.

We have been able to measure activity of the slices during seizures. In this movie, you can see a large activation of the superficial layers of the hippocampus just at the onset of the seizure. We think this reflects the large activation of the inhibitory population at the onset of the seizure.

Modeling

Different regions of the brain produce different kinds of epileptiform activity. One region of the hippocampus, the CA3, produces short bursts of activity which we liken to the clinical interictal bursts. Meanwhile, a neighboring region, the CA1, can produce full-fledged, long-lasting seizures.

We have hypothesized that the difference in the wiring of the two regions results in the differences in their two behaviors. By generating large networks of model neurons and adjusting the connectivity of the network, we could reproduce both behaviors.

We are now trying to extend this work to understand how inhibitory cells change or even control the dynamics of seizure onset.

Teaching Subjects
BMEn 3401 - Biomedical Systems Analysis
BMEn 5411 - Neural Engineering