Event Abstract Back to Event Thalamocortical changes in clinical depression probed by physiology-based modeling Cliff Kerr1, 2*, Andrew Kemp3, Chris Rennie1, 2 and Peter Robinson1, 2 1 University of Sydney , School of Physics, Australia 2 Westmead Hospital , Brain Dynamics Center, Australia 3 University of Sydney , School of Psychology, Australia Clinical depression is a heterogeneous disorder characterized by persistent dysphoria (unpleasant mood) and anhedonia (inability to experience pleasure). Depending on the particular subtype, additional symptoms can include difficulty concentrating, psychomotor slowing, and changes in appetite and sleep. Historically, most studies of clinical depression have focused on neuronal or cognitive changes, with comparatively few examining the systems-level computational neurobiology of the disorder. To help bridge this gap, we use a mean-field model of neuronal dynamics to investigate possible causes of the electrophysiological changes observed in patients with depression. Event-related potentials (ERPs) were elicited from four subject groups (clinically depressed patients with and without the melancholic depression subtype, participants with subclinical depressed mood, and healthy controls) using an auditory oddball paradigm, in which infrequent high-pitched tones requiring a response ("targets") were interspersed with frequent low-pitched tones not requiring a response ("standards"). These ERPs were extracted from subjects’ ongoing EEG activity, and analyzed using the physiology-based mean-field model developed by Robinson et al. (Phys. Rev. E 2001 63:021903). This model describes firing rate dynamics in five interconnected populations of neurons: cortical excitatory, cortical inhibitory, thalamic relay, thalamic reticular, and subthalamic. The model also incorporates neuronal properties important for global brain dynamics, including dendritic time constants and axonal propagation velocities. Fitting the model to experimental data allows its parameters to be estimated, which in turn can be related to underlying neurophysiology. Several major differences between healthy controls and other subject groups were found: (i) Dendritic time constants were significantly smaller in subjects with both clinical and subclinical depressed mood, indicative of changes in neurotransmission (for example, a shift from AMPA to NMDA receptors). (ii) Transmission velocities in thalamocortical axons were decreased in patients with melancholic depression, potentially explaining the psychomotor slowing associated with this subtype. (iii) Connection strengths between neuronal populations changed dramatically, including decreased cortical excitation, decreased thalamocortical excitation (via the relay nuclei), and increased thalamocortical inhibition (via the reticular nucleus), leading to a substantial change in the balance of excitation and inhibition in patients with depression. These results shed new light on the computational neurobiology of clinical depression, and provide a framework allowing future integration of additional data across a range of spatiotemporal scales. Conference: Computational and Systems Neuroscience 2010, Salt Lake City, UT, United States, 25 Feb - 2 Mar, 2010. Presentation Type: Poster Presentation Topic: Poster session II Citation: Kerr C, Kemp A, Rennie C and Robinson P (2010). Thalamocortical changes in clinical depression probed by physiology-based modeling. Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00183 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 03 Mar 2010; Published Online: 03 Mar 2010. * Correspondence: Cliff Kerr, University of Sydney, School of Physics, Sydney, Australia, ckerr@physics.usyd.edu.au Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Cliff Kerr Andrew Kemp Chris Rennie Peter Robinson Google Cliff Kerr Andrew Kemp Chris Rennie Peter Robinson Google Scholar Cliff Kerr Andrew Kemp Chris Rennie Peter Robinson PubMed Cliff Kerr Andrew Kemp Chris Rennie Peter Robinson Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
Read full abstract