Graduate Student Seminar Series – Spandan Sengupta

Graduate Student Seminar Series
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Location: MS2158 – 1 King’s College Circle
Presentation Title: State-Dependent Effects of Neurostimulation in an Recurrent E-I Network
Abstract:
Deep Brain Stimulation (DBS) is an established clinical treatment for a variety of neurological dis-
orders, including Parkinson’s Disease where it has been shown to reduce motor symptoms as well
as disrupt pathological beta oscillations in the basal ganglia. The mechanisms of action of DBS on
the collective activity of neuronal circuits is not fully understood. We use a recurrently-connected
excitatory-inhbitory network based on the Brunel network architecture that can produce activity in
a variety of states. Using a model of DBS that can reproduce observed effects such as antidromic
activation, local somatic suppression, and axonal activation, we characterize the effect of stimulation
across the entire parameter space of the network. We show that the effects of stimulation are de-
pendent on the baseline state of the network, with the level of beta suppression dependent on the
level of inhibition and the external drive. Specifically, networks with higher inhibition and lower drive
show greater disruption of beta oscillations. We further show that networks in different states are
preferentially sensitive to different frequencies of stimulation, suggesting that alternative protocols to
the clinically standard high-frequency stimulation may have therapeutic efficacy.
Supervisor Name: Milad Lankarany
Year of Study: 2
Program of Study: PhD
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