Watson Lab

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.

Recent work

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

How neuronal activity changes during sleep and wake: An integrative and statistically-controlled re-analysis of data from neocortex and hippocampus

What we know about how antidepressants work at an electrophysiologic level

A minutes-timescale rhythm of the brain that dictates brain function and performance: What do we know about it already?

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

Cortical neuronal firing rates are dynamically modulated over sleep wake cycles without novel learning tasks.