Cortical circuits and Psychiatry
Brendon Watson M.D., Ph.D.
University of Michigan
Focus: Brain and cortical network dynamics
Basic function in normal brain and role in psychiatric disease
We use electrophysiology and behavioral methods to understand brain-behavior linkages in rodents. We aim to answer questions aimed both at fundamental neurobiological questions as well as the role of neural circuit electrophysiology in disease.
We use an approach informed by an understanding of neuronal microcircuit dynamics, macrocircuit connectivity and organism-level behavior to connect between the level of single neurons, networks of those neurons and animal behavior.
See further details in Research section.
Lab life: Lunch after the Silverman Conference
Thanks for the photo, David :)
How do neural circuits function differnetly during sleep in a model of SCA3-type spinocerebellar ataxia? Tia Tsimpanouli finds incrased REM sleep duration and increased beta oscillatory power. This may mechanistically link SCA3 to other neurodegenerative diseases including alzheimer's and parkinson's diseases that show REM pathology.
We propose that the neocortical populations have a constant "backbone" element to their sequence as well as a proportion of neurons with maleable timing. These stable and maleable aspects may have differential roles. The stable firing sequence may play a role in network homeostasis while the variable element may related to information "coding".
Why and how is the field of rodent ketamine research yielding such variable results. How can we interpret that variance?
Only stressed mice show antidepressant-like response to ketamine. Unestressed ones actually show an opposite response. See Paul Fitzgerald and Jessica Yen's paper here: Link
With Kamran Diba's Lab:
How neuronal activity changes during sleep and wake: An integrative and statistically-controlled re-analysis of data from neocortex and hippocampus
Might gamma oscillations be biomarkers for depression? What is the current state of the field in both patients and rodent models.
How field potential oscillations and neuronal firing rates are correlated time in the frontal cortex in rodent recordings.
Review article putting forward novel ideas about the role of learning rules in sculpting activity of cortical neuronal populations over wake-sleep cycles