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A review of electroencephalographic changes in diabetes mellitus in relation to major depressive disorder

Authors Baskaran A, Milev R, McIntyre R

Received 2 October 2012

Accepted for publication 13 November 2012

Published 17 January 2013 Volume 2013:9 Pages 143—150

DOI https://doi.org/10.2147/NDT.S38720

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2



Anusha Baskaran,1,2 Roumen Milev,3 Roger S McIntyre2

1Centre for Neuroscience Studies, Queen's University, Kingston; 2Mood Disorders Psychopharmacology Unit, University Health Network, Toronto; 3Department of Psychiatry, Queen's University, Kingston, Canada

Abstract: A bidirectional relationship exists between diabetes mellitus (DM) and major depressive disorder (MDD), with depression commonly reported in both type 1 DM (T1DM) and type 2 DM (T2DM), and depressive symptoms associated with a higher incidence of diabetes. However, how the two conditions are pathologically connected is not completely understood. Similar neurophysiological abnormalities have been reported in both DM and MDD, including elevated electroencephalographic (EEG) activity in low-frequency slow waves and increased latency and/or reduced amplitude of event-related potentials. It is possible that this association reflects some common underlying pathology, and it has been proposed that diabetes may place patients at risk for depression through a biological mechanism linking the metabolic changes of DM to changes in the central nervous system. In this review we will discuss EEG abnormalities in DM, as well as the biological mechanisms underlying various EEG parameters, in order to evaluate whether or not a common EEG biosignature exists between DM and MDD. Identifying such commonalities could significantly inform the current understanding of the mechanisms that subserve the development of the two conditions. Moreover, this new insight may provide the basis for informing new drug discovery capable of mitigating and possibly even preventing both conditions.

Keywords:
electroencephalography, event-related potential, diabetes mellitus, major depressive disorder

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