Literature DB >> 16733939

EEG topography and tomography (LORETA) in the classification and evaluation of the pharmacodynamics of psychotropic drugs.

Bernd Saletu1, Peter Anderer, Gerda M Saletu-Zyhlarz.   

Abstract

By multi-lead computer-assisted quantitative analyses of human scalp-recorded electroencephalogram (QEEG) in combination with certain statistical procedures (quantitative pharmaco-EEG) and mapping techniques (pharmaco-EEG mapping or topography), it is possible to classify psychotropic substances and objectively evaluate their bioavailability at the target organ, the human brain. Specifically, one may determine at an early stage of drug development whether a drug is effective on the central nervous system (CNS) compared with placebo, what its clinical efficacy will be like, at which dosage it acts, when it acts and the equipotent dosages of different galenic formulations. Pharmaco-EEG maps of neuroleptics, antidepressants, tranquilizers, hypnotics, psychostimulants and nootropics/cognition-enhancing drugs will be described. Methodological problems, as well as the relationships between acute and chronic drug effects, alterations in normal subjects and patients, CNS effects and therapeutic efficacy will be discussed. Imaging of drug effects on the regional brain electrical activity of healthy subjects by means of EEG tomography such as low-resolution electromagnetic tomography (LORETA) has been used for identifying brain areas predominantly involved in psychopharmacological action. This will be shown for the representative drugs of the four main psychopharmacological classes, such as 3 mg haloperidol for neuroleptics, 20 mg citalopram for antidepressants, 2 mg lorazepam for tranquilizers and 20 mg methylphenidate for psychostimulants. LORETA demonstrates that these psychopharmacological classes affect brain structures differently. By considering these differences between psychotropic drugs and placebo in normal subjects, as well as between mental disorder patients and normal controls, it may be possible to choose the optimum drug for a specific patient according to a key-lock principle, since the drug should normalize the deviant brain function. Thus, pharmaco-EEG topography and tomography are valuable methods in human neuropsychopharmacology, clinical psychiatry and neurology.

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Year:  2006        PMID: 16733939     DOI: 10.1177/155005940603700205

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


  15 in total

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2.  Evaluation of multiple comparison correction procedures in drug assessment studies using LORETA maps.

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4.  Neuropharmacological effect of atomoxetine on attention network in children with attention deficit hyperactivity disorder during oddball paradigms as assessed using functional near-infrared spectroscopy.

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

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6.  Alprazolam-induced EEG spectral power changes in rhesus monkeys: a translational model for the evaluation of the behavioral effects of benzodiazepines.

Authors:  Lais F Berro; John S Overton; Jaren A Reeves-Darby; James K Rowlett
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7.  Topographic electrophysiological signatures of FMRI Resting State Networks.

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Review 8.  Narrative Review: Quantitative EEG in Disorders of Consciousness.

Authors:  Betty Wutzl; Stefan M Golaszewski; Kenji Leibnitz; Patrick B Langthaler; Alexander B Kunz; Stefan Leis; Kerstin Schwenker; Aljoscha Thomschewski; Jürgen Bergmann; Eugen Trinka
Journal:  Brain Sci       Date:  2021-05-25

9.  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

10.  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

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