Literature DB >> 32763021

Ketamine improves short-term plasticity in depression by enhancing sensitivity to prediction errors.

Rachael L Sumner1, Rebecca McMillan2, Meg J Spriggs3, Doug Campbell4, Gemma Malpas4, Elizabeth Maxwell4, Carolyn Deng4, John Hay4, Rhys Ponton2, Frederick Sundram5, Suresh D Muthukumaraswamy2.   

Abstract

Major depressive disorder negatively impacts the sensitivity and adaptability of the brain's predictive coding framework. The current electroencephalography study into the antidepressant properties of ketamine investigated the downstream effects of ketamine on predictive coding and short-term plasticity in thirty patients with depression using the auditory roving mismatch negativity (rMMN). The rMMN paradigm was run 3-4 h after a single 0.44 mg/kg intravenous dose of ketamine or active placebo (remifentanil infused to a target plasma concentration of 1.7 ng/mL) in order to measure the neural effects of ketamine in the period when an improvement in depressive symptoms emerges. Depression symptomatology was measured using the Montgomery-Asberg Depression Rating Scale (MADRS); 70% of patients demonstrated at least a 50% reduction their MADRS global score. Ketamine significantly increased the MMN and P3a event related potentials, directly contrasting literature demonstrating ketamine's acute attenuation of the MMN. This effect was only reliable when all repetitions of the post-deviant tone were used. Dynamic causal modelling showed greater modulation of forward connectivity in response to a deviant tone between right primary auditory cortex and right inferior temporal cortex, which significantly correlated with antidepressant response to ketamine at 24 h. This is consistent with the hypothesis that ketamine increases sensitivity to unexpected sensory input and restores deficits in sensitivity to prediction error that are hypothesised to underlie depression. However, the lack of repetition suppression evident in the MMN evoked data compared to studies of healthy adults suggests that, at least within the short term, ketamine does not improve deficits in adaptive internal model calibration.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Depression; Dynamic causal modelling; EEG; MMN; Predictive coding

Year:  2020        PMID: 32763021     DOI: 10.1016/j.euroneuro.2020.07.009

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  4 in total

1.  The Double Face of Ketamine-The Possibility of Its Identification in Blood and Beverages.

Authors:  Magdalena Świądro; Paweł Stelmaszczyk; Irena Lenart; Renata Wietecha-Posłuszny
Journal:  Molecules       Date:  2021-02-04       Impact factor: 4.411

2.  MDLSD: study protocol for a randomised, double-masked, placebo-controlled trial of repeated microdoses of LSD in healthy volunteers.

Authors:  Robin J Murphy; Rachael L Sumner; William Evans; David Menkes; Ingo Lambrecht; Rhys Ponton; Frederick Sundram; Nicholas Hoeh; Sanya Ram; Lisa Reynolds; Suresh Muthukumaraswamy
Journal:  Trials       Date:  2021-04-23       Impact factor: 2.279

Review 3.  A Predictive Coding Framework for Understanding Major Depression.

Authors:  Jessica R Gilbert; Christina Wusinich; Carlos A Zarate
Journal:  Front Hum Neurosci       Date:  2022-03-03       Impact factor: 3.169

Review 4.  Biomarkers of ketamine's antidepressant effect: a clinical review of genetics, functional connectivity, and neurophysiology.

Authors:  Alexandra A Alario; Mark J Niciu
Journal:  Chronic Stress (Thousand Oaks)       Date:  2021-05-31
  4 in total

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