Alpha and gamma-band oscillations in MEG-data: networks, function and development

Die Adoleszenz, d.h. die Reifungsphase des Jugendlichen zum Erwachsenen, stellt einen zentralen Abschnitt in der menschlichen Entwicklung dar, der mit tief greifenden emotionalen und kognitiven Veränderungen verbunden ist. Neure Studien (Bunge et al., 2002; Durston et al., 2002; Casey et al., 2005; Crone et al., 2006; Bunge and Wright, 2007) machen deutlich, dass sich die funktionelle Architektur des Gehirns während der Adoleszenz grundlegend verändert und dass diese Veränderungen mit der Reifung höherer kognitiven Funktionen in der Adoleszenz assoziiert sein könnten. Messungen des Gehirn-Volumens mit Hilfe der Magnet-Resonanz-Tomographie (MRT) zum Beispiel zeigen eine nicht-lineare Reduktion der grauen und eine Zunahme der weißen Substanz während der Adoleszenz (Giedd et al., 1999; Sowell et al., 1999, 2003). Des weiteren treten in dieser Zeit Veränderungen in exzitatorischen und inhibitorischen Neurotransmitter-Systemen auf (Tseng and O’Donnell, 2005; Hashimoto et al., 2009). Zusammen deuten diese Ergebnisse darauf hin, dass während der Adoleszenz ein Umbau der kortikalen Netzwerke stattfindet, der wichtige Konsequenzen für die Reifung neuronaler Oszillationen haben könnte. Im Anschluss an eine Einführung im Kapitel 2, fasst Kapitel 3 der vorliegenden Dissertation die Vorbefunde bezüglich entwicklungsbedingter Veränderungen in der Amplitude, Frequenz und Synchronisation neuronaler Oszillationen zusammen und diskutiert den Zusammenhang zwischen der Entwicklung neuronaler Oszillationen und der Reifung höhere kognitiver Funktionen während der Adoleszenz. Ebenso werden die anatomischen und physiologischen Mechanismen, die diesen Veränderungen möglicherweise zu Grunde liegen könnten, theoretisch vorgestellt. Die in Kapitel 4-6 vorgestellten eigenen empirischen Arbeiten untersuchen neuronale Oszillationen mit Hilfe der Magnetoencephalographie (MEG), um die Frequenzbänder und die funktionellen Netzwerke zu charakterisieren, die mit höheren kognitiven Prozessen und deren Entwicklung in der Adoleszenz assoziiert sind. Hierzu wurden drei Experimente durchgeführt, bei denen MEG-Aktivität während der Bearbeitung einer Arbeitsgedächtnisaufgabe und im Ruhezustand aufgezeichnet wurde. Die Ergebnisse dieser Experimente zeigen, dass Alpha Oszillationen und Gamma-Band Aktivität sowohl task-abhängig als auch im Ruhezustand gemeinsam auftreten. Darüber hinaus ergänzen die vorliegenden Untersuchungen Vorarbeiten, indem sie eine Wechselwirkung zwischen beiden Frequenzbändern aufgezeigt wird, die als ein Mechanismus für das gezielte Weiterleiten von Informationen dienen könnte. Die in Kapitel 6 vorgestellten Entwicklungsdaten weisen weiterhin darauf, dass in der Adoleszenz späte Veränderungen im Alpha und Gamma-Band stattfinden und dass diese Veränderungen involviert sind in die Entwicklung der Arbeitsgedächtnis-Kapazität und die Entwicklung der Fähigkeit, Distraktoren zu inhibieren. Abschliessend werden in Kapitel 7, die in dieser Dissertation vorgestellten Arbeiten, aus einer übergeordneten Perspektive im Gesamtzusammenhang diskutiert

The thalamic reticular nucleus: a functional hub for thalamocortical network dysfunction in schizophrenia and a target for drug discovery

The thalamus (comprising many distinct nuclei) plays a key role in facilitating sensory discrimination and cognitive processes through connections with the cortex. Impaired thalamocortical processing has long been considered to be involved in schizophrenia. In this review we focus on the thalamic reticular nucleus (TRN) providing evidence for it being an important communication hub between the thalamus and cortex and how it may play a key role in the pathophysiology of schizophrenia. We first highlight the functional neuroanatomy, neurotransmitter localisation and physiology of the TRN. We then present evidence of the physiological roles of the TRN in relation to oscillatory activity, cognition and behaviour. Next we discuss the role of the TRN in rodent models of risk factors for schizophrenia (genetic and pharmacological) and provide evidence for TRN deficits in schizophrenia. Finally we discuss new drug targets for schizophrenia in relation to restoring TRN circuitry dysfunction

Changes in brain network activity during working memory tasks: a magnetoencephalography study.

In this study, we elucidate the changes in neural oscillatory processes that are induced by simple working memory tasks. A group of eight subjects took part in modified versions of the N-back and Sternberg working memory paradigms. Magnetoencephalography (MEG) data were recorded, and subsequently processed using beamformer based source imaging methodology. Our study shows statistically significant increases in θ oscillations during both N-back and Sternberg tasks. These oscillations were shown to originate in the medial frontal cortex, and further to scale with memory load. We have also shown that increases in θ oscillations are accompanied by decreases in β and γ band oscillations at the same spatial coordinate. These decreases were most prominent in the 20–40 Hz frequency range, although spectral analysis showed that γ band power decrease extends up to at least 80 Hz. β/γ Power decrease also scales with memory load. Whilst θ increases were predominately observed in the medial frontal cortex, β/γ decreases were associated with other brain areas, including nodes of the default mode network (for the N-back task) and areas associated with language processing (for the Sternberg task). These observations are in agreement with intracranial EEG and fMRI studies. Finally, we have shown an intimate relationship between changes in β/γ band oscillatory power at spatially separate network nodes, implying that activity in these nodes is not reflective of uni-modal task driven changes in spatially separate brain regions, but rather represents correlated network activity. The utility of MEG as a non-invasive means to measure neural oscillatory modulation has been demonstrated and future studies employing this technology have the potential to gain a better understanding of neural oscillatory processes, their relationship to functional and effective connectivity, and their correspondence to BOLD fMRI

Localizing evoked and induced responses to faces using magnetoencephalography

A rich pattern of responses in frequency, time and space are known to be generated in the visual cortex in response to faces. Recently, a number of studies have used magnetoencephalography (MEG) to try to record these responses non-invasively – in many cases using source analysis techniques based on the beamforming method. Here we sought both to characterize best practice for measuring face-specific responses using MEG beamforming, and to determine whether the results produced by the beamformer match evidence from other modalities. We measured activity to visual presentation of face stimuli and phase-scrambled control stimuli, and performed source analyses of both induced and evoked responses using Synthetic Aperture Magnetometry. We localized the gamma-band response to bilateral lateral occipital cortex, and both the gamma-band response and the M170-evoked response to the right fusiform gyrus. Differences in the gamma-band response between faces and scrambled stimuli were confined to the frequency range 50–90 Hz; gamma-band activity at higher frequencies did not differ between the two stimulus categories. We additionally identified a component of the M220-evoked response – localized to the parieto-occipital sulcus – which was enhanced for scrambled vs. unscrambled faces. These findings help to establish that MEG beamforming can localize face-specific responses in time, frequency and space with good accuracy (when validated against established findings from functional magnetic resonance imaging and intracranial recordings), as well as contributing to the establishment of best methodological practice for the use of the beamformer method to measure face-specific responses

Mechanisms of altered cortical excitability in photosensitive epilepsy

Despite the multiplicity of approaches and techniques so far applied for identifying the pathophysiological mechanisms of photosensitive epilepsy, a generally agreed explanation of the phenomenon is still lacking. The present thesis reports on three interlinked original experimental studies conducted to explore the neurophysiological correlates and the phatophysiological mechanism of photosensitive epilepsy. In the first study I assessed the role of the habituation of the Visual Evoked Response test as a possible biomarker of epileptic visual sensitivity. The two subsequent studies were designed to address specific research questions emerging from the results of the first study. The findings of the three intertwined studies performed provide experimental evidence that photosensitivity is associated with changes in a number of electrophysiological measures suggestive of altered balance between excitatory and inhibitory cortical processes. Although a strong clinical association does exist between specific epileptic syndromes and visual sensitivity, results from this research indicate that photosensitivity trait seems to be the expression of specific pathophysiological mechanisms quite distinct from the “epileptic” phenotype. The habituation of Pattern Reversal Visual Evoked Potential (PR-VEP) appears as a reliable candidate endo-phenotype of visual sensitivity. Interpreting the findings of this study in the context of the broader literature on visual habituation we can hypothesise the existence of a shared neurophysiological background between photosensitive epilepsy and migraine. Future studies to elucidate the relationship between the proposed indices of cortical excitability and specific polymorphisms of excitatroy and inhibitory neurotransmission will need to be conducted to assess their potential role as biomarkers of photosensitivity

Cerebral oscillatory activity during simulated driving using MEG

We aimed to examine cerebral oscillatory differences associated with psychological processes during simulated car driving. We recorded neuromagnetic signals in 14 healthy volunteers using magnetoencephalography (MEG) during simulated driving. MEG data were analyzed using synthetic aperture magnetometry to detect the spatial distribution of cerebral oscillations. Group effects between subjects were analyzed statistically using a nonparametric permutation test. Oscillatory differences were calculated by comparison between passive viewing and active driving. Passive viewing was the baseline, and oscillatory differences during active driving showed an increase or decrease in comparison with a baseline. Power increase in the theta band was detected in the superior frontal gyrus (SFG) during active driving. Power decreases in the alpha, beta, and low gamma bands were detected in the right inferior parietal lobe (IPL), left postcentral gyrus (PoCG), middle temporal gyrus (MTG), and posterior cingulate gyrus (PCiG) during active driving. Power increase in the theta band in the SFG may play a role in attention. Power decrease in the right IPL may reflect selectively divided attention and visuospatial processing, whereas that in the left PoCG reflects sensorimotor activation related to driving manipulation. Power decreases in the MTG and PCiG may be associated with object recognition