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Georg Winterer

Publications and source records attributed to Georg Winterer.

At least 19 recordsLinked to original sources
PubMed2007

Complex relationship between BOLD signal and synchronization/desynchronization of human brain MEG oscillations.

Functional magnetic resonance imaging (fMRI) depends on the coupling of cerebral blood flow, energy demand, and neural activity. The precise nature of this interaction, however, is poorly understood. A positive correlation between BOLD-response and cortically generated local field potentials, which reflect the weighted average of synchronized dentrosomatic components of pyramidal synaptic signals, has been demonstrated. Likewise, positive BOLD-responses have been reported in conjunction with scalp-recorded synchronized electromagnetic activity by a number of groups. However, it is not yet clear how the opposite electromagnetic pattern, i.e. cortical desynchronization, is related to the BOLD signal. To address this question, we conducted a combined event-related fMRI and 275 sensor whole-head MEG study during identical visual two-choice reaction time task conditions in 10 human subjects. We found complex sequences of MEG-synchronization and desynchronization across a wide frequency range in the visual and motor area in close correspondence with "locales" of positive BOLD-responses. These results indicate that a correspondence of positive BOLD-responses is not exclusively found for cortical synchronization but also for desynchronization, suggesting that the relationship between BOLD signals and electromagnetic activity might be more complex than previously thought.

Adult↗
PubMed2007

Genetic variations of the NR3A subunit of the NMDA receptor modulate prefrontal cerebral activity in humans.

INTRODUCTION: Recently, a novel N-methyl-D-aspartate (NMDA) receptor subunit, NR3A, has been discovered in the brain. This subunit decreases NMDA receptor activity by modulating the calcium permeability of the receptor channel and current density in cortical cells. Because the NR3A is expressed in the human prefrontal cortex, we hypothesized that genetic variations of the NR3A subunit modulate prefrontal activation. METHODS: Electromagnetic activity during selective attention (auditory oddball task with target processing) was measured in 281 healthy subjects. Genotyping of a missense variation (rs10989591, Val362Met) of the NR3A gene was performed. RESULTS: Individuals carrying Val/Val genotype showed significantly reduced frontal P300 amplitudes compared with Met/Met subjects. Subsequent low-resolution electromagnetic source analysis revealed that this group difference is likely caused by reduced activation in the inferior frontal gyrus. CONCLUSIONS: It was shown for the first time that the genetic constitution of the subunit composition of NMDA receptor regulation might be relevant for prefrontal information processing in humans. The results underline the pivotal role of glutamate in frontal lobe function and indicate that the NR3A subunit could be a plausible candidate gene for diseases with prefrontal dysfunctions.

Adult↗
PubMed2006

Association of the met66 allele of brain-derived neurotrophic factor (BDNF) with smoking.

RATIONALE: It has been suggested that a susceptibility locus near the gene encoding the brain-derived neurotrophic factor (BDNF) contributes to individual differences in human addiction vulnerability. BDNF modulates several behaviors that are associated with addictive drugs, and upregulation of BDNF was found to be associated with several drugs of abuse such as amphetamine, cocaine, and nicotine. In this study, we addressed the question if a common BDNF missense variation (Val66Met) influences the risk for smoking behavior in otherwise healthy human volunteers. MATERIALS AND METHODS: In total, 320 healthy unrelated volunteers (155 male, 165 female, mean age: 38.4 +/- 14.1 years) consisting of 43.3% never smokers, 20.9% former smokers, and 35.6% current smokers were investigated. RESULTS: The frequency of both Met/Met genotype and Met allele was significantly increased in current and in former smokers when compared to never smokers (chi (2) = 10.856, df = 2, p = 0.004 and chi (2) = 4.350, df = 1, p = 0.045, respectively). CONCLUSIONS: Our results suggest that humans who carry the Met allele of the BDNF missense polymorphism might be more vulnerable to initiate and also maintain smoking.

Adult↗
PubMed2006

Smoking impacts on prefrontal attentional network function in young adult brains.

RATIONALE: There is abundant evidence from clinical and preclinical studies that acute administration of nicotine has beneficial effects on attentional network function in the brain. In contrast, little is known about potentially neurotoxic effects on the attentional network during neurodevelopmentally critical periods, such as during adolescence and early adulthood. METHODS: Using event-related functional MRI (fMRI), we investigated prefrontal attentional network function in young adults (n=15 regular smokers and n=12 never-smokers; age: 22.6+/-1.5 years). Duration of smoking was 6.9+/-2.3 years (range of 2-10). Smokers were allowed to smoke ad libitum before the fMRI scanning was conducted. RESULTS: As expected from literature, prefrontal attentional network activity was significantly reduced in smokers compared to nonsmokers (Z=2.1; P=0.036). In smokers, we found that the history of smoking duration (years) is directly related to the extent of diminished attentional network activity (R=-0.67; P=0.012). CONCLUSIONS: To our best knowledge, the relationship between the duration of smoking history and prefrontal attentional network function has not yet been reported. This finding might suggest that several years of chronic nicotine abuse may be sufficient to exert long-lasting effects on the brain function of adolescents and young adults.

Adolescent↗
PubMed2006

COMT genotype predicts BOLD signal and noise characteristics in prefrontal circuits.

OBJECTIVE: Prefrontal dopamine (DA) is catabolized by the COMT (catechol-O-methyltransferase) enzyme. Literature suggests that the Val/Met single nucleotide polymorphism (SNP) in the COMT gene predicts executive cognition in humans with Val carriers showing poorer performance due to less available synaptic DA. Recent fMRI studies are thought to agree with these studies having demonstrated prefrontal hyperactivation during n-back and attention-requiring tasks. This was interpreted as "less efficient" processing due to impaired signal-to-noise ratio (SNR) of neuronal activity. However, electrophysiological studies of neuronal SNR in primates and humans imply that prefrontal cortex should show a diminished prefrontal BOLD response in Val carriers. In the present study, we addressed the question of whether the prefrontal SNR of the BOLD response is decreased in Val carriers using a visual oddball task and an approach to analysis of fMRI data that maximizes noise characterization. METHODS: We investigated N=17 homozygous Met carriers compared with N=24 Val carriers matched for age, sex, education, IQ, reaction time (variability) and head motion. Event-related fMRI was conducted presenting 160 visual stimuli (40 targets, checkerboard reversal). Subjects had to respond as quickly as possible to targets by button press. In the fMRI GLM [y(t)=beta*x(t)+c+e(t)] analysis, voxel-by-voxel 'activation' [y(t)] as well as residual noise variance [e(t)=sigma2] were calculated using a conservative full-width half maximum (FWHM=6 mm). RESULTS: As compared to Val carriers, we observed a stronger and more extended BOLD responses in homozygous Met carriers in left supplementary motor area (SMA) extending to ACC and dorsolateral prefrontal cortex. Vice versa, increased levels of noise were seen in Val carriers surrounding the peak activation maximum. DISCUSSION: In line with our expectations from prior electrophysiological studies, we observed a diminished BOLD response and increased noise in Val carriers. This suggests that the DA stabilizes cortical microcircuits by sharpening the signal and suppressing surrounding noise.

Adult↗
PubMed2006

Prefrontal electrophysiologic "noise" and catechol-O-methyltransferase genotype in schizophrenia.

BACKGROUND: Increased variability of stimulus-induced prefrontal electromagnetic activity ("noise") has been associated with genetic risk for schizophrenia. On the basis of animal experiments and computational models, we have predicted that this prefrontal "noise" phenotype would be related to variation in prefrontal dopamine (DA) signaling, which itself might be abnormal in schizophrenia. In the present study, the effect of a functional single nucleotide polymorphism (val(108/158)met) within the catechol-O-methyltransferase (COMT) gene on prefrontal "noise" was examined, because the COMT enzyme is involved in cortical synaptic dopamine metabolism and weakly predictive of risk for schizophrenia. METHODS: A Caucasian sample comprising 112 unrelated normal subjects, 83 schizophrenic probands, and 87 of their unaffected siblings was investigated, all of whom had measures of prefrontal "noise" estimated from event-related electroencephalogram during an auditory oddball task. RESULTS: The val(108/158)met genotype was significantly associated with prefrontal "noise"; homozygous Val-carriers had greatest prefrontal "noise" values; odds ratio (OR) = 2.37 (95% confidence interval [CI] 1.37-4.10), p = 003. The genotype-phenotype association was stronger when only considering male subjects with an OR = 3.37 (95% CI: 1.63-6.98), p = 002. CONCLUSIONS: The results suggest that COMT genotype impacts the level of prefrontal physiologic "noise."

Acoustic Stimulation↗
PubMed2006

Persistent dysfunctional frontal lobe activation in former smokers.

OBJECTIVE: Chronic smoking and nicotine exposure are accompanied by impaired cognitive task performance, modulated cerebral activity in brain imaging studies, and neuritic damage in experimental animals. The profile of the described dysfunctions matches frontal lobe circuits which also play a role in reward processing and reinforcement behavior. However, it is largely unknown if cerebral dysfunctions are reversible or persist during long term abstinence. MATERIALS AND METHODS: Cortical activation during auditory target processing (oddball task, P300 component) was recorded with 32-channel EEG in 247 healthy subjects consisting of 84 smokers, 53 former smokers (mean time of abstinence 11.9 years), and 110 never smokers. RESULTS: Both current smokers and former smokers exhibited significantly diminished P300 amplitudes (Cz, Pz) relative to never smokers. Neuroelectric source analysis (low resolution brain electromagnetic tomography) revealed a hypoactivation of the anterior cingulate, orbitofrontal, and prefrontal cortex in smokers compared to never smokers. A similar profile of hypoactivation was observed in former smokers. CONCLUSION: For the first time, evidence is provided that dysfunctional activation of frontal lobe networks in smokers is also present in long term abstainers.

Adult↗
PubMed2006

Distributed BOLD-response in association cortex vector state space predicts reaction time during selective attention.

Human cortical information processing is thought to be dominated by distributed activity in vector state space (Churchland, P.S., Sejnowski, T.J., 1992. The Computational Brain. MIT Press, Cambridge.). In principle, it should be possible to quantify distributed brain activation with independent component analysis (ICA) through vector-based decomposition, i.e., through a separation of a mixture of sources. Using event-related functional magnetic resonance imaging (fMRI) during a selective attention-requiring task (visual oddball), we explored how the number of independent components within activated cortical areas is related to reaction time. Prior to ICA, the activated cortical areas were determined on the basis of a General linear model (GLM) voxel-by-voxel analysis of the target stimuli (checkerboard reversal). Two activated cortical areas (temporoparietal cortex, medial prefrontal cortex) were further investigated as these cortical regions are known to be the sites of simultaneously active electromagnetic generators which give rise to the compound event-related potential P300 during oddball task conditions. We found that the number of independent components more strongly predicted reaction time than the overall level of "activation" (GLM BOLD-response) in the left temporoparietal area whereas in the medial prefrontal cortex both ICA and GLM predicted reaction time equally well. Comparable correlations were not seen when principle components were used instead of independent components. These results indicate that the number of independently activated components, i.e., a high level of cortical activation complexity in cortical vector state space, may index particularly efficient information processing during selective attention-requiring tasks. To our best knowledge, this is the first report describing a potential relationship between neuronal generators of cognitive processes, the associated electrophysiological evidence for the existence of distributed networks and BOLD fMRI signals using information from model order selection techniques.

Adult↗
PubMed2006

Instability of prefrontal signal processing in schizophrenia.

OBJECTIVE: Prefrontal dysfunction is considered a fundamental characteristic of schizophrenia. Recent electrophysiological evidence points to a major instability of signal processing in prefrontal cortical microcircuits because of reduced phase-synchronization (i.e., an increased stimulus-related variability [noise] of single-trial responses in the spatial and time domain). The authors used functional magnetic resonance imaging (fMRI) during a visual two-choice reaction task in order to measure, with higher topographic accuracy, signal stability in patients with schizophrenia and its relationship to more traditional measures of activation. METHOD: Twelve clinically stable inpatients with schizophrenia and 16 matched comparison subjects were evaluated. Event-related blood-oxygen-level-dependent responses were subjected to an analysis of residual noise variance and to independent data dimension independent component analysis in the medial prefrontal cortex. RESULTS: In patients with schizophrenia, the authors found increased residual noise variance of the blood-oxygen-level-dependent response that predicted the level of prefrontal activation in these subjects. In the left hemisphere, residual noise variance strongly correlated with psychotic symptoms. Independent component analysis revealed a "fractionized" and unfocussed pattern of activation in patients. CONCLUSIONS: These findings suggest that unstable cortical signal processing underlies classic abnormal cortical activation patterns as well as psychosis in schizophrenia.

Adult↗
PubMed2005

EEG microstate duration and syntax in acute, medication-naive, first-episode schizophrenia: a multi-center study.

In young, first-episode, productive, medication-naive patients with schizophrenia, EEG microstates (building blocks of mentation) tend to be shortened. Koenig et al. [Koenig, T., Lehmann, D., Merlo, M., Kochi, K., Hell, D., Koukkou, M., 1999. A deviant EEG brain microstate in acute, neuroleptic-naive schizophrenics at rest. European Archives of Psychiatry and Clinical Neuroscience 249, 205-211] suggested that shortening concerned specific microstate classes. Sequence rules (microstate concatenations, syntax) conceivably might also be affected. In 27 patients of the above type and 27 controls, from three centers, multichannel resting EEG was analyzed into microstates using k-means clustering of momentary potential topographies into four microstate classes (A-D). In patients, microstates were shortened in classes B and D (from 80 to 70 ms and from 94 to 82 ms, respectively), occurred more frequently in classes A and C, and covered more time in A and less in B. Topography differed only in class B where LORETA tomography predominantly showed stronger left and anterior activity in patients. Microstate concatenation (syntax) generally were disturbed in patients; specifically, the class sequence A-->C-->D-->A predominated in controls, but was reversed in patients (A-->D-->C-->A). In schizophrenia, information processing in certain classes of mental operations might deviate because of precocious termination. The intermittent occurrence might account for Bleuler's "double bookkeeping." The disturbed microstate syntax opens a novel physiological comparison of mental operations between patients and controls.

Acute Disease↗
PubMed2004

Association of elevated phospho-tau levels with Alzheimer-typical 18F-fluoro-2-deoxy-D-glucose positron emission tomography findings in patients with mild cognitive impairment.

BACKGROUND: Mild cognitive impairment is considered to be a transitional stage between normal aging and dementia. Phosphorylated tau protein in cerebrospinal fluid and even more decrements of cerebral glucose metabolism in parietal, temporal, or cingulate regions have shown favorable specificity for the diagnosis of Alzheimer dementia and could be useful supplementary tools to determine Alzheimer pathology in early stages. METHODS: We measured cerebrospinal fluid tau phosphorylated at threonine 181 protein, cerebrospinal fluid total tau, and cerebral glucose metabolism using 18F-fluoro-2-deoxy-D-glucose positron emission tomography in 16 patients with mild cognitive impairment and age-matched control subjects. RESULTS: Alzheimer-typical patterns of cerebral glucose metabolism were significantly related to elevated phosphorylated tau levels (p =.009) but not to elevated total tau levels. In six of seven mild cognitive impairment patients with increased phosphorylated tau concentrations, Alzheimer disease-typical positron emission tomography patterns were found. Phosphorylated tau measurement separated patients with and without Alzheimer disease-typical positron emission tomography findings with a sensitivity of 85.7% and a specificity of 88.9%. CONCLUSIONS: Unlike total tau levels, elevated phosphorylated tau levels were strictly related to Alzheimer-typical patterns of cerebral glucose metabolism in mild cognitive impairment patients. The results can be interpreted as validation of phosphorylated tau measurements for detecting Alzheimer disease in mild cognitive impairment patients.

Aged↗
PubMed2004

Ultrastructural hippocampal and white matter alterations in mild cognitive impairment: a diffusion tensor imaging study.

Mild cognitive impairment (MCI) is considered to be a transitional stage between normal aging and dementia. In Alzheimer's disease (AD), white matter structural pathology is due to Wallerian degeneration and central angiopathy. However, in MCI patients, the presence and extent of white matter alterations as a possible correlate of impaired memory function and as predictor of subsequent progression to AD is not clarified yet. Diffusion tensor imaging (DTI) reveals the ultrastructural integrity of cerebral white matter tracts. Therefore, it could detect pathological processes that modify tissue integrity in patients with MCI. In our prospective study, conventional and diffusion tensor MR scans were obtained from 14 patients with MCI, 19 patients with AD, and 10 healthy controls. Mean diffusivity (MD) and fractional anisotropy (FA) were measured in temporal, frontal, parietal and occipital white matter regions as well as in the corpus callosum (genu and splenium) and the hippocampus. MCI patients showed higher MD values in the left centrum semiovale (p = 0.013; right: p = 0.026), in the left temporal (p = 0.006), the right temporal (p = 0.014) and the left hippocampal (p = 0.002) region as compared to the control group. FA values of MCI patients and controls did not differ significantly in any region. Compared to controls, AD patients had increased MD values in the left centrum semiovale (p = 0.012), the left parietal (p = 0.001), the right parietal (p = 0.028), the left temporal (p = 0.018), the right temporal (p = 0.011) and the left hippocampal region (p = 0.002). Decreased FA values were measured in the left temporal area (p = 0.017) and in the left hippocampus (p = 0.031) in AD patients compared to controls. FA and MD values did not differ significantly between AD and MCI patients. Elevated MD values indicating brain tissue alterations in MCI patients were found in regions that are typically involved in early changes due to AD, particularly the left hippocampus. The sensitivity of distinguishing MCI patients from controls was 71.4% (with a specificity set at 80%). Therefore, the DTI technique validates the MCI concept, and diffusion tensor MR measurement can be a helpful tool to quantify MCI pathology in vivo.

Aged↗
PubMed2004

Reduced oscillatory gamma-band responses in unmedicated schizophrenic patients indicate impaired frontal network processing.

OBJECTIVE: Integration of sensory information by cortical network binding appears to be crucially involved in target detection. Studies in schizophrenia using functional and diffusion tensor neuroimaging, event-related potentials and EEG coherence indicate an impairment of cortical network coupling in this disorder. Previous electrophysiological investigations in animals and humans suggested that gamma activity (oscillations at around 40 Hz) is essential for cortical network binding. Studies in medicated schizophrenia provide evidence for a reduced gamma activity in the context of auditory stimulus processing. This is the first investigation of oscillatory activations in the gamma-band in an auditory oddball paradigm in unmedicated schizophrenic patients. METHODS: EEG gamma-band responses (GBRs) of 15 drug-free schizophrenic patients and 15 age- and gender-matched healthy controls were compared. A wavelet transform based on Morlet wavelets was employed for the calculation of oscillatory GBRs. RESULTS: In response to standard stimuli, early evoked GBRs (20-100 ms), which are supposed to reflect auditory cortex activation, did not show significant group differences. However, schizophrenic patients showed reduced evoked GBRs in a late latency range (220-350 ms), particularly after target stimuli. This deficit occurred over right frontal scalp regions. Furthermore, significant correlations were observed between oscillatory GBRs and clinical parameters in schizophrenic patients. CONCLUSIONS: The results are consistent with a relative preserved stimulus processing in the auditory cortex as reflected by the early GBR. The reduced late GBR is compatible with an abnormal interaction within a frontal lobe network, as was postulated by previous neuroimaging studies. SIGNIFICANCE: The present study provides evidence for disturbed processing within frontal cortical regions in unmedicated schizophrenic patients as indicated by reduced evoked EEG GBRs.

Acoustic Stimulation↗
PubMed2004

Genes, dopamine and cortical signal-to-noise ratio in schizophrenia.

A large body of phenomenological evidence implicates abnormal connectivity of brain macrocircuitry and microcircuitry in schizophrenia. Recent discoveries of susceptibility genes for schizophrenia have zeroed in on the synaptic signaling machinery of cortical microcircuits as fundamental to disease causation and have militated for further revision of the role of dopamine in this illness. Dopamine, long implicated in psychosis and in antipsychotic drug effects, is crucial in optimizing signal-to-noise ratio of local cortical microcircuits. This action of dopamine is achieved principally by D1- and D2-receptor-mediated effects on pyramidal and local circuit neurons, which mediate neuronal excitability and recurrent inhibition and thus contribute to the stability of cortical representations of external and internal stimuli. In schizophrenia, an abnormal cortical dopamine D1/D2 activation ratio - in concert with, and in part related to, altered GABA and glutamate transmission - appears to interfere crucially with this process.

Cerebral Cortex↗
PubMed2004

Prefrontal broadband noise, working memory, and genetic risk for schizophrenia.

OBJECTIVE: It has been suggested that increased variability of prefrontal physiological responses may represent a fundamental mechanism underlying frontal lobe deficits in schizophrenia. Increased response variability ("noise") is thought to result from impaired phase resetting of stimulus-induced dynamic changes of ongoing rhythmic oscillations (field potentials) generated in the apical dendrites of pyramidal neurons. In the present study, the authors explored whether this particular physiological abnormality predicts working memory performance and is related to the genetic risk for schizophrenia. METHOD: Prefrontal response variability of discrete frequency components was investigated across a broad frequency range (0.5-45.0 Hz) during processing of an oddball paradigm in patients with schizophrenia (N=66), their clinically unaffected siblings (N=115), and healthy comparison subjects (N=89). RESULTS: As hypothesized, prefrontal noise was negatively correlated with working memory performance across all subjects. In addition, it was observed that prefrontal noise possesses trait characteristics and is strongly associated with genetic risk for schizophrenia. CONCLUSIONS: Frontal lobe-related cognitive function depends on the ability to synchronize cortical pyramidal neurons, which is in part genetically controlled. Increased prefrontal "noise" is an intermediate phenotype related to genetic susceptibility for schizophrenia.

Adult↗
PubMed2003

Functional and effective frontotemporal connectivity and genetic risk for schizophrenia.

BACKGROUND: Functional neuroimaging and electrophysiologic studies have found disturbed frontotemporal interaction in schizophrenia. We sought to determine whether abnormalities of frontotemporal connectivity are trait markers of genetic risk for schizophrenia. METHODS: We investigated 64 schizophrenia patients, 79 of their clinically unaffected siblings, and 88 unrelated normal controls with an auditory oddball electroencephalogram (EEG) evoked potential paradigm. We measured: 1) frontotemporal event-related EEG-coherence (i.e. a measure of functional connectivity); and 2) we performed structural equation modeling of the effective connectivity between the frontal P300 and temporoparietal P300-amplitude. RESULTS: Schizophrenic patients and their siblings showed a reduction of frontotemporal coherence. At peak activation during the P300 time-window, a negative ("inhibitory") frontotemporal path coefficient was found in normal controls, whereas a positive coefficient was seen in schizophrenic patients with siblings being intermediate. Intra-class correlations between sib-pairs and relative risk estimates of the applied connectivity measures were non-significant. Topographic correlation matrix analyses suggested that the altered functional and effective frontotemporal connectivity indirectly reflect regional abnormalities of increased activation variance. CONCLUSIONS: Impaired interaction of the frontotemporal macro-circuit indirectly reflects genetically determined abnormalities of frontal and temporoparietal microcircuits. The reasons why frontotemporal connectivity appears to be a poor predictor of genetic risk for schizophrenia are discussed.

Adult↗
PubMed2003

Polymorphisms in the N-methyl-D-aspartate receptor 1 and 2B subunits are associated with alcoholism-related traits.

BACKGROUND: This study examined the hypothesis that allelic variants of the ionotropic glutamatergic N-methyl-D-aspartate receptor (NMDAR) are associated with vulnerability to alcoholism and some related traits. METHODS: We investigated the silent G2108A and C2664T polymorphisms of the NMDAR1 and the NMDAR2B genes, respectively. The case control study included 367 alcoholic and 335 control subjects of German origin. The family-based study comprised 81 Polish alcoholic patients and their parents using the transmission disequilibrium test. RESULTS: The genotype frequencies of the NMDAR1 polymorphism differed significantly between control and alcoholic subjects. This difference was also observed in more homogenous subgroups of alcoholic subjects with vegetative withdrawal syndrome and Cloninger type 1. Patients with a history of delirium tremens or seizures during withdrawal showed a significantly increased prevalence of the A allele. Genotyping of the NMDAR2B polymorphism revealed a significantly reduced T allele in Cloninger type 2 alcoholics and in patients reporting an early onset compared with control subjects. Our family-based study for NMDAR2B, revealed a trend to a preferred transmission of the C allele by the fathers, and families with early-onset patients contributed most to this trend. CONCLUSIONS: These results suggest that variants in NMDAR genes are associated with alcoholism and related traits.

Adult↗