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Featured researches published by Jiri Wackermann.


Psychological Bulletin | 2005

Psychobiology of altered states of Consciousness

Dieter Vaitl; Niels Birbaumer; John Gruzelier; Graham A. Jamieson; Boris Kotchoubey; Andrea Kübler; Dietrich Lehmann; Wolfgang H. R. Miltner; Ulrich Ott; Peter Pütz; Gebhard Sammer; Inge Strauch; Ute Strehl; Jiri Wackermann; Thomas Weiss

The article reviews the current knowledge regarding altered states of consciousness (ASC) (a) occurring spontaneously, (b) evoked by physical and physiological stimulation, (c) induced by psychological means, and (d) caused by diseases. The emphasis is laid on psychological and neurobiological approaches. The phenomenological analysis of the multiple ASC resulted in 4 dimensions by which they can be characterized: activation, awareness span, self-awareness, and sensory dynamics. The neurophysiological approach revealed that the different states of consciousness are mainly brought about by a compromised brain structure, transient changes in brain dynamics (disconnectivity), and neurochemical and metabolic processes. Besides these severe alterations, environmental stimuli, mental practices, and techniques of self-control can also temporarily alter brain functioning and conscious experience.


International Journal of Psychophysiology | 1993

Adaptive segmentation of spontaneous EEG map series into spatially defined microstates

Jiri Wackermann; Dietrich Lehmann; Christoph M. Michel; Werner Strik

Space-oriented segmentation can decompose multi-channel EEG map series into time segments characterized by quasi-stationary field map configurations. This assesses the dynamics of the underlying processes as activities of different neural generator ensembles. Our method of space-oriented segmentation describes the scalp field at times of maximal field strength (Global Field Power) by the locations of the centroids of positive and negative map areas. A quantitative measure of the simultaneous distance of the centroid locations evaluates the similarity between consecutive maps. A segment is defined as a sequence of maps that do not differ from each other by more than a present value. Finally, the average centroid locations for each segment are entered into an agglomerative clustering procedure to obtain a set of distinct classes of field configurations. Four records of 16 s of 42-channel resting EEG (band-pass filtered 2-16 Hz) from six subjects were analyzed. Average segment duration was 157.9 ms. Most segments belonged to a small number of classes (from 2 to 6, mean 3.7 classes for 90% of analysis time). The most frequent class showed an anterior-posterior field orientation and covered from 45 to 74% (mean 55% across subjects) of total time, with an average duration of 265 ms. The procedure was also tested using temporally and spatially unstructured data (white noise and randomly shuffled EEG) to ascertain that the methods reflect the spatio-temporal structure of the EEG processes.


Biological Psychiatry | 1993

Dimensional complexity of EEG brain mechanisms in untreated schizophrenia

M. Koukkou; Dietrich Lehmann; Jiri Wackermann; I. Dvorak; B. Henggeler

The dimensional complexity of left temporal-parietal and parietal-occipital electroencephalographic (EEG) recordings was assessed by computing the correlation dimension during 20 sec in six recording conditions from 15 first-episode acute schizophrenics before medication, 12 other medication-free individuals clinically and socially remitted after a first schizophrenic episode, 17 medication-free neurotics and 17 controls. The correlation dimension of the temporal-parietal EEG differed between groups [analysis of variance (ANOVA)] (p < 0.004), whereas neurotics (different from schizophrenics at p < 0.002) and remitted schizophrenics showed intermediate values. There was no overall significant difference between groups in the parietal-occipital EEG. Differences of the correlation dimension of the temporal-parietal versus the parietal-occipital EEG were significant between groups (ANOVA p < 0.05); first-episode schizophrenics differed from controls (p < 0.002) and remitted patients (p < 0.08). Increased dimensional complexity of schizophrenic EEG was found in one of two examined brain regions. The higher dimensional complexity of functional brain mechanisms in schizophrenics versus normals is reminiscent of the loosened organization of thought, and of suggestions of certain superior abilities in the patients.


Biological Psychiatry | 1998

Global, regional, and local measures of complexity of multichannel electroencephalography in acute, neuroleptic-naive, first-break schizophrenics.

Naomi Saito; Toshiaki Kuginuki; Takami Yagyu; Toshihiko Kinoshita; Thomas Koenig; Roberto D. Pascual-Marqui; Kieko Kochi; Jiri Wackermann; Dietrich Lehmann

BACKGROUND Schizophrenic symptoms commonly are felt to indicate a loosened coordination, i.e. a decreased connectivity of brain processes. METHODS To address this hypothesis directly, global and regional multichannel electroencephalographic (EEG) complexities (omega complexity and dimensional complexity) and single channel EEG dimensional complexities were calculated from 19-channel EEG data from 9 neuroleptic-naive, first-break, acute schizophrenics and 9 age- and sex-matched controls. Twenty artifact-free 2 second EEG epochs during resting with closed eyes were analyzed (2-30 Hz bandpass, average reference for global and regional complexities, local EEG gradient time series for single channels). RESULTS Anterior regional Omega-Complexity was significantly increased in schizophrenics compared with controls (p < 0.001) and anterior regional Dimensional Complexity showed a trend for increase. Single channel Dimensional Complexity of local gradient waveshapes was prominently increased in the schizophrenics at the right precentral location (p = 0.003). CONCLUSIONS The results indicate a loosened cooperativity or coordination (vice versa: an increased independence) of the active brain processes in the anterior brain regions of the schizophrenics.


Electroencephalography and Clinical Neurophysiology | 1993

Global dimensional complexity of multi-channel EEG indicates change of human brain functional state after a single dose of a nootropic drug☆

Jiri Wackermann; Dietrich Lehmann; Ivan Dvorak; Christoph M. Michel

Viewing the multi-channel EEG as a sequence of momentary field maps corresponds to the concept of a trajectory in K-dimensional state space (K = number of channels). This approach permits a quantitative, single value measure of complexity of the brain state trajectory, the global correlation dimension that describes the ensemble characteristics of all recorded channels. In 5 normal volunteers, 4 records of 16-channel resting EEG were obtained during each of 4 randomized sessions (double blind design) after a single dose of placebo or 2.9 g or 4.8 g or 9.6 g piracetam. The global correlation dimension of a 40 sec epoch from each record was estimated, using 50 computational runs with 8192 point pairs. The results were combined for the two intermediate doses and averaged over repeated records. The dimensionality decreased from placebo (median = 5.89) to low dose (median = 5.72) to high dose (median = 5.59), significant in a Friedman ANOVA at P < 0.02, with significant differences between placebo vs. high and low vs. high dose. Thus, the subtle change of brain global functional state after a single dose of piracetam is reflected by the non-linear measure of global dimensional complexity of the multi-channel EEG.


Neuropsychobiology | 2001

EEG Source Localization and Global Dimensional Complexity in High- and Low- Hypnotizable Subjects: A Pilot Study

Toshiaki Isotani; Dietrich Lehmann; Roberto D. Pascual-Marqui; Kieko Kochi; Jiri Wackermann; Naomi Saito; Takami Yagyu; Toshihiko Kinoshita; Kyohei Sasada

Individuals differ in hypnotizability. Information on hypnotizability-related EEG characteristics is controversial and incomplete, particularly on intracerebral source localization and EEG dimensionality. 19-channel, eyes-closed resting EEGs from right-handed, healthy, 8 high- and 4 low-hynotizable subjects (age: 26.7 ± 7.3 years) were analyzed. Hypnotizability was rated after the subjects’ ability to attain a deep hypnotic stage (amnesia). FFT Dipole Approximation analysis in seven EEG frequency bands showed significant differences (p < 0.04) of source gravity center locations for theta (6.5–8 Hz, more posterior and more left for highs), beta-1 and beta-2 frequencies (12.5–18 and 18.5–21 Hz; both more posterior and more right for highs). Low Resolution Electromagnetic Tomography (LORETA) specified the cortical anteriorization of beta-1 and beta-2 in low hypnotizables. Power spectral analysis of Global Field Power time series (curves) showed no overall power differences in any band. Full-band Global Dimensional Complexity was higher in high-hypnotizable subjects (p < 0.02). Thus, before hypnosis, high and low hypnotizables were in different brain electric states, with more posterior brain activity gravity centers (excitatory right, routine or relaxation left) and higher dimensional complexity (higher arousal) in high than low hypnotizables.


Psychiatry Research-neuroimaging | 1993

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

Dietrich Lehmann; Jiri Wackermann; Christoph M. Michel; Thomas Koenig

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 (Fishers 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.


Journal of Neural Transmission | 2005

Subsecond changes of global brain state in illusory multistable motion perception

Th. Müller; Th. Koenig; Jiri Wackermann; Peter Kalus; Andreas J. Fallgatter; Werner Strik; Dietrich Lehmann

Summary.This study explored transient changes in EEG microstates and spatial Omega complexity associated with changes in multistable perception. 21-channel EEG was recorded from 13 healthy subjects viewing an alternating dot pattern that induced illusory motion with ambiguous direction. Baseline epochs with stable motion direction were compared to epochs immediately preceding stimuli that were perceived with changed motion direction (‘reference stimuli’). About 750 ms before reference stimuli, Omega complexity decreased as compared to baseline, and two of four classes of EEG microstates changed their probability of occurrence. About 300 ms before reference stimuli, Omega complexity increased and the previous deviations of EEG microstates were reversed. Given earlier results on Omega complexity and microstates, these sub-second EEG changes might parallel longer-lasting fluctuations in vigilance. Assumedly, the discontinuities of illusory motion thus occur during sub-second dips in arousal, and the following reconstruction of the illusion coincides with a state of relative over-arousal.


Dementia and Geriatric Cognitive Disorders | 1997

Global dimensional complexity of multichannel EEG in mild Alzheimer's disease and age-matched cohorts.

Takami Yagyu; Jiri Wackermann; Masahiro Shigeta; Vesna Jelic; Toshihiko Kinoshita; Kieko Kochi; Per Julin; Ove Almkvist; Lars Olof Wahlund; István Kondákor; Dietrich Lehmann

Multichannel EEG as sequence of momentary brain field maps constitutes a trajectory through K-dimensional state space (K = number of channels); the complexity of this trajectory is assessed by the nonlinear measure of global correlation dimension (Global Dimensional Complexity, GDC) with the number of electrodes as embedding dimension. We analyzed eyes-closed EEG of three age-matched subject groups: mild Alzheimers disease (AD; n = 21), mild cognitive impairment (29) and subjective memory complaint (29). Kruskal-Wallis statistics showed an overall effect between groups. AD patients differed significantly (GDC = 4.56) from mild cognitive impairments (GDC = 4.98) and from subjective memory complaints (GDC = 4.93). GDC also had significant positive correlations with mental condition and performance (MMSE and WAIS-R scores). Thus, the dynamics of brain state development over time in mild AD differs from that in mild cognitive impairment and in subjective memory complaint cases.


International Journal of Psychophysiology | 1999

Single-dose piracetam effects on global complexity measures of human spontaneous multichannel EEG

István Kondákor; Christoph M. Michel; Jiri Wackermann; Thomas Koenig; Hideaki Tanaka; Jacques Peuvot; Dietrich Lehmann

Global complexity of 47-channel resting electroencephalogram (EEG) of healthy young volunteers was studied after intake of a single dose of a nootropic drug (piracetam, Nootropil UCB Pharma) in 12 healthy volunteers. Four treatment levels were used: 2.4, 4.8, 9.6 g piracetam and placebo. Brain electric activity was assessed through Global Dimensional Complexity and Global Omega-Complexity as quantitative measures of the complexity of the trajectory of multichannel EEG in state space. After oral ingestion (1-1.5 h), both measures showed significant decreases from placebo to 2.4 g piracetam. In addition, Global Dimensional Complexity showed a significant return to placebo values at 9.6 g piracetam. The results indicate that a single dose of piracetam dose-dependently affects the spontaneous EEG in normal volunteers, showing effects at the lowest treatment level. The decreased EEG complexity is interpreted as increased cooperativity of brain functional processes.

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Naomi Saito

Kansai Medical University

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