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Abstract
Reduced inhibition by somatostatin-expressing interneurons is associated with depression. Administration of positive allosteric modulators of α5 subunit-containing GABAA receptor (α5-PAM) that selectively target this lost inhibition exhibit antidepressant and pro-cognitive effects in rodent models of chronic stress. However, the functional effects of α5-PAM on the human brain in vivo are unknown, and currently cannot be assessed experimentally. We modeled the effects of α5-PAM on tonic inhibition as measured in human neurons, and tested in silico α5-PAM effects on detailed models of human cortical microcircuits in health and depression. We found that α5-PAM effectively recovered impaired cortical processing as quantified by stimulus detection metrics, and also recovered the power spectral density profile of the microcircuit EEG signals. We performed an α5-PAM dose-response and identified simulated EEG biomarker candidates. Our results serve to de-risk and facilitate α5-PAM translation and provide biomarkers in non-invasive brain signals for monitoring target engagement and drug efficacy.
Using data-driven models of human neurons and microcircuits, the authors tested in-silico a compound for treating depression via boosting cell-specific inhibition, and identified EEG biomarker candidates for monitoring treatment efficacy.
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1 Centre for Addiction and Mental Health, Krembil Centre for Neuroinformatics, Toronto, Canada (GRID:grid.155956.b) (ISNI:0000 0000 8793 5925)
2 University Health Network, Krembil Brain Institute, Toronto, Canada (GRID:grid.231844.8) (ISNI:0000 0004 0474 0428)
3 Centre for Addiction and Mental Health, Krembil Centre for Neuroinformatics, Toronto, Canada (GRID:grid.155956.b) (ISNI:0000 0000 8793 5925); University of Toronto, Department of Physiology, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
4 University of Toronto, Department of Psychiatry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, Canada (GRID:grid.155956.b) (ISNI:0000 0000 8793 5925)
5 University Health Network, Krembil Brain Institute, Toronto, Canada (GRID:grid.231844.8) (ISNI:0000 0004 0474 0428); University of Toronto, Institute of Medical Sciences, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); University of Toronto, Department of Electrical and Computer Engineering, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); University of Toronto, Institute of Biomaterials and Biomedical Engineering, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); University of Toronto, Department of Surgery, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Center for Advancing Neurotechnological Innovation to Application, Toronto, Canada (GRID:grid.17063.33); Max Planck-University of Toronto Center for Neural Science and Technology, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
6 University of Toronto, Department of Psychiatry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, Canada (GRID:grid.155956.b) (ISNI:0000 0000 8793 5925); University of Toronto, Department of Pharmacology and Toxicology, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
7 Centre for Addiction and Mental Health, Krembil Centre for Neuroinformatics, Toronto, Canada (GRID:grid.155956.b) (ISNI:0000 0000 8793 5925); University of Toronto, Department of Physiology, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); University of Toronto, Department of Psychiatry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)