Literature DB >> 16733940

Pharmaco-EEG in psychiatry.

Armida Mucci1, Umberto Volpe, Eleonora Merlotti, Paola Bucci, Silvana Galderisi.   

Abstract

In spite of its origins deeply rooted in the discipline, pharmaco-EEG applications in psychiatry remain limited to its achievements in the field of psychotropic drugs classification and, in few instances, discovery. In the present paper two attempts to transfer pharmaco-EEG methods to psychiatric clinical routine will be described: 1) monitoring of psychotropic drug toxicity at the central nervous system level, and 2) prediction of clinical response to treatment with psychotropic drugs. Both applications have been the object of several investigations providing promising and sometimes consistent findings which, however, had no impact on clinical practice. For the first topic, the review is limited to antipsychotics, lithium and recreational drugs, as for other psychotropic drugs mostly case studies are available, while for the response prediction it will include antipsychotics, antidepressants, anxiolytics, psychostimulants and nootropics. In spite of several methodological limitations, pharmaco-EEG studies dealing with monitoring of antipsychotic- and lithium-induced EEG abnormalities went close to, but never became, a clinical routine. EEG studies of recreational drugs are flawed by several limitations, and failed, so far, to identify reliable indices of CNS toxicity to be used in clinical settings. Several QEEG studies on early predictors of treatment response to first generation antipsychotics have produced consistent findings, but had no clinical impact. For other psychotropic drug classes few and inconsistent reports have appeared. Pharmaco-EEG had the potential for important clinical applications, but so far none of them entered clinical routine. The ability to upgrade theories and methods and promote large scale studies represent the future challenge.

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Year:  2006        PMID: 16733940     DOI: 10.1177/155005940603700206

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  12 in total

1.  Auditory steady state response in bipolar disorder: relation to clinical state, cognitive performance, medication status, and substance disorders.

Authors:  Olga Rass; Giri Krishnan; Colleen A Brenner; William P Hetrick; Colleen C Merrill; Anantha Shekhar; Brian F O'Donnell
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2.  Pharmacological mechanisms of interhemispheric signal propagation: a TMS-EEG study.

Authors:  Jeanette Hui; Reza Zomorrodi; Pantelis Lioumis; Bahar Salavati; Tarek K Rajji; Robert Chen; Daniel M Blumberger; Zafiris J Daskalakis
Journal:  Neuropsychopharmacology       Date:  2019-07-29       Impact factor: 7.853

3.  Patient Characterization Protocols for Psychophysiological Studies of Traumatic Brain Injury and Post-TBI Psychiatric Disorders.

Authors:  Paul E Rapp; Brenna M Rosenberg; David O Keyser; Dominic Nathan; Kevin M Toruno; Christopher J Cellucci; Alfonso M Albano; Scott A Wylie; Douglas Gibson; Adele M K Gilpin; Theodore R Bashore
Journal:  Front Neurol       Date:  2013-07-22       Impact factor: 4.003

Review 4.  [Significance of clinical electroencephalogram in psychiatry].

Authors:  J Gallinat; C Mulert; G Leicht
Journal:  Nervenarzt       Date:  2016-03       Impact factor: 1.214

5.  A pharmaco-EEG study on antipsychotic drugs in healthy volunteers.

Authors:  Masafumi Yoshimura; Thomas Koenig; Satoshi Irisawa; Toshiaki Isotani; Keizo Yamada; Mitsuru Kikuchi; Gaku Okugawa; Takami Yagyu; Toshihiko Kinoshita; Werner Strik; Thomas Dierks
Journal:  Psychopharmacology (Berl)       Date:  2007-02-27       Impact factor: 4.530

6.  Levetiracetam Modulates EEG Microstates in Temporal Lobe Epilepsy.

Authors:  Lorenzo Ricci; Pierpaolo Croce; Patrizia Pulitano; Marilisa Boscarino; Filippo Zappasodi; Flavia Narducci; Jacopo Lanzone; Biagio Sancetta; Oriano Mecarelli; Vincenzo Di Lazzaro; Mario Tombini; Giovanni Assenza
Journal:  Brain Topogr       Date:  2022-09-13       Impact factor: 4.275

7.  Effects of Psychotropic Drugs on Quantitative EEG among Patients with Schizophrenia-spectrum Disorders.

Authors:  June Hyun; Myung Jae Baik; Ung Gu Kang
Journal:  Clin Psychopharmacol Neurosci       Date:  2011-08-31       Impact factor: 2.582

8.  Predicting the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a go/no-go test.

Authors:  Geir Ogrim; Juri Kropotov; Jan Ferenc Brunner; Gian Candrian; Leiv Sandvik; Knut A Hestad
Journal:  Neuropsychiatr Dis Treat       Date:  2014-02-03       Impact factor: 2.570

9.  EEG machine learning for accurate detection of cholinergic intervention and Alzheimer's disease.

Authors:  Sonja Simpraga; Ricardo Alvarez-Jimenez; Huibert D Mansvelder; Joop M A van Gerven; Geert Jan Groeneveld; Simon-Shlomo Poil; Klaus Linkenkaer-Hansen
Journal:  Sci Rep       Date:  2017-07-18       Impact factor: 4.379

10.  Reduction in Alpha Peak Frequency and Coherence on Quantitative Electroencephalography in Patients with Schizophrenia.

Authors:  Tae-Sung Yeum; Ung Gu Kang
Journal:  J Korean Med Sci       Date:  2018-05-17       Impact factor: 2.153

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