Literature DB >> 21106608

The use of the EEG in measuring therapeutic drug action: focus on depression and antidepressants.

Hamid Alhaj1, Grzegorz Wisniewski, R Hamish McAllister-Williams.   

Abstract

A major issue in proof of concept studies and early clinical trials of novel therapeutic agents is that the active drugs can often have a relatively small additional effect compared with placebo. This is especially the case in psychiatry when we usually have no direct method of measuring the pathology underlying the disorder being studied but, rather, have to rely on the subjective assessment of psychiatric symptoms. The use of the electroencephalogram (EEG) offers two potential major means of addressing this problem. First it is able to provide direct data relating to neural activity that may be abnormal in certain disorders. As such there are opportunities for utilizing the EEG in a variety of ways as an objective outcome measure. Second there is growing evidence that in certain circumstances the EEG can be used to predict which patients are likely to respond to treatment, thus potentially increasing the power of studies by decreasing non-response rates and increasing mean changes in outcome measure. Both of these uses of the EEG are illustrated in reference to the study of mood disorders and in particular depression and its treatment with antidepressants.

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Year:  2010        PMID: 21106608     DOI: 10.1177/0269881110388323

Source DB:  PubMed          Journal:  J Psychopharmacol        ISSN: 0269-8811            Impact factor:   4.153


  21 in total

Review 1.  Scaling brain size, keeping timing: evolutionary preservation of brain rhythms.

Authors:  György Buzsáki; Nikos Logothetis; Wolf Singer
Journal:  Neuron       Date:  2013-10-30       Impact factor: 17.173

2.  A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Authors:  Wajid Mumtaz; Syed Saad Azhar Ali; Mohd Azhar Mohd Yasin; Aamir Saeed Malik
Journal:  Med Biol Eng Comput       Date:  2017-07-13       Impact factor: 2.602

3.  Demonstrating test-retest reliability of electrophysiological measures for healthy adults in a multisite study of biomarkers of antidepressant treatment response.

Authors:  Craig E Tenke; Jürgen Kayser; Pia Pechtel; Christian A Webb; Daniel G Dillon; Franziska Goer; Laura Murray; Patricia Deldin; Benji T Kurian; Patrick J McGrath; Ramin Parsey; Madhukar Trivedi; Maurizio Fava; Myrna M Weissman; Melvin McInnis; Karen Abraham; Jorge E Alvarenga; Daniel M Alschuler; Crystal Cooper; Diego A Pizzagalli; Gerard E Bruder
Journal:  Psychophysiology       Date:  2017-01       Impact factor: 4.016

4.  Resting-state EEG delta power is associated with psychological pain in adults with a history of depression.

Authors:  Esther L Meerwijk; Judith M Ford; Sandra J Weiss
Journal:  Biol Psychol       Date:  2015-01-17       Impact factor: 3.251

5.  Microstate feature fusion for distinguishing AD from MCI.

Authors:  Yupan Shi; Qinying Ma; Chunyu Feng; Mingwei Wang; Hualong Wang; Bing Li; Jiyu Fang; Shaochen Ma; Xin Guo; Tongliang Li
Journal:  Health Inf Sci Syst       Date:  2022-07-26

6.  Temporal stability of posterior EEG alpha over twelve years.

Authors:  Craig E Tenke; Jürgen Kayser; Jorge E Alvarenga; Karen S Abraham; Virginia Warner; Ardesheer Talati; Myrna M Weissman; Gerard E Bruder
Journal:  Clin Neurophysiol       Date:  2018-04-16       Impact factor: 3.708

7.  Emotional processing modulates attentional capture of irrelevant sound input in adolescents.

Authors:  B Gulotta; G Sadia; E Sussman
Journal:  Int J Psychophysiol       Date:  2013-01-09       Impact factor: 2.997

8.  Pretreatment anterior cingulate activity predicts antidepressant treatment response in major depressive episodes.

Authors:  Johannes Rentzsch; Mazda Adli; Katja Wiethoff; Ana Gómez-Carrillo de Castro; Jürgen Gallinat
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-07-20       Impact factor: 5.270

9.  Online sentence processing impairments in agrammatic and logopenic primary progressive aphasia: Evidence from ERP.

Authors:  Elena Barbieri; Kaitlyn A Litcofsky; Matthew Walenski; Brianne Chiappetta; Marek-Marsel Mesulam; Cynthia K Thompson
Journal:  Neuropsychologia       Date:  2020-12-14       Impact factor: 3.139

Review 10.  Brain rhythms and neural syntax: implications for efficient coding of cognitive content and neuropsychiatric disease.

Authors:  György Buzsáki; Brendon O Watson
Journal:  Dialogues Clin Neurosci       Date:  2012-12       Impact factor: 5.986

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