Literature DB >> 8177925

Space-oriented EEG segmentation reveals changes in brain electric field maps under the influence of a nootropic drug.

D Lehmann1, J Wackermann, C M Michel, T Koenig.   

Abstract

Map landscape-based segmentation of the sequences of momentary potential distribution maps (42-channel recordings) into brain microstates during spontaneous brain activity was used to study brain electric field spatial effects of single doses of piracetam (2.9, 4.8, and 9.6 g Nootropil UCB and placebo) in a double-blind study of five normal young volunteers. Four 15-second epochs were analyzed from each subject and drug condition. The most prominent class of microstates (covering 49% of the time) consisted of potential maps with a generally anterior-posterior field orientation. The map orientation of this microstate class showed an increasing clockwise deviation from the placebo condition with increasing drug doses (Fisher's probability product, p < 0.014). The results of this study suggest the use of microstate segmentation analysis for the assessment of central effects of medication in spontaneous multi-channel electroencephalographic data, as a complementary approach to frequency-domain analysis.

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Year:  1993        PMID: 8177925     DOI: 10.1016/0925-4927(93)90005-3

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  10 in total

1.  Right parietal brain activity precedes perceptual alternation during binocular rivalry.

Authors:  Juliane Britz; Michael A Pitts; Christoph M Michel
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

Review 2.  Timing in cognition and EEG brain dynamics: discreteness versus continuity.

Authors:  Andrew A Fingelkurts; Alexander A Fingelkurts
Journal:  Cogn Process       Date:  2006-07-11

3.  Frequency domain source localization shows state-dependent diazepam effects in 47-channel EEG.

Authors:  C M Michel; R D Pascual-Marqui; W K Strik; T Koenig; D Lehmann
Journal:  J Neural Transm Gen Sect       Date:  1995

Review 4.  Microstates in resting-state EEG: current status and future directions.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Christoph M Michel; Faranak Farzan
Journal:  Neurosci Biobehav Rev       Date:  2014-12-17       Impact factor: 8.989

5.  Differences in Multimodal Electroencephalogram and Clinical Correlations Between Early-Onset Alzheimer's Disease and Frontotemporal Dementia.

Authors:  Nan Lin; Jing Gao; Chenhui Mao; Heyang Sun; Qiang Lu; Liying Cui
Journal:  Front Neurosci       Date:  2021-08-05       Impact factor: 4.677

6.  EEG oscillatory states: universality, uniqueness and specificity across healthy-normal, altered and pathological brain conditions.

Authors:  Alexander A Fingelkurts; Andrew A Fingelkurts
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

7.  Reliability of resting-state microstate features in electroencephalography.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Faranak Farzan
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

8.  The association between brain activity and motor imagery during motor illusion induction by vibratory stimulation.

Authors:  Takayuki Kodama; Hideki Nakano; Osamu Katayama; Shin Murata
Journal:  Restor Neurol Neurosci       Date:  2017       Impact factor: 2.406

9.  EEG microstate complexity for aiding early diagnosis of Alzheimer's disease.

Authors:  Luke Tait; Francesco Tamagnini; George Stothart; Edoardo Barvas; Chiara Monaldini; Roberto Frusciante; Mirco Volpini; Susanna Guttmann; Elizabeth Coulthard; Jon T Brown; Nina Kazanina; Marc Goodfellow
Journal:  Sci Rep       Date:  2020-10-19       Impact factor: 4.379

10.  Within and Between Subject Spectral Fingerprints of EEG-Microstate Parameters.

Authors:  Johannes Zulliger; Laura Diaz Hernandez; Thomas Koenig
Journal:  Brain Topogr       Date:  2022-04-12       Impact factor: 4.275

  10 in total

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