Assessing interactions of linear and nonlinear neuronal sources using MEG beamformers:a proof of concept

Objective: This study aimed to explore methods of assessing interactions between neuronal sources using MEG beamformers. However, beamformer methodology is based on the assumption of no linear long-term source interdependencies [VanVeen BD, vanDrongelen W, Yuchtman M, Suzuki A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans Biomed Eng 1997;44:867-80; Robinson SE, Vrba J. Functional neuroimaging by synthetic aperture magnetometry (SAM). In: Recent advances in Biomagnetism. Sendai: Tohoku University Press; 1999. p. 302-5]. Although such long-term correlations are not efficient and should not be anticipated in a healthy brain [Friston KJ. The labile brain. I. Neuronal transients and nonlinear coupling. Philos Trans R Soc Lond B Biol Sci 2000;355:215-36], transient correlations seem to underlie functional cortical coordination [Singer W. Neuronal synchrony: a versatile code for the definition of relations? Neuron 1999;49-65; Rodriguez E, George N, Lachaux J, Martinerie J, Renault B, Varela F. Perception's shadow: long-distance synchronization of human brain activity. Nature 1999;397:430-3; Bressler SL, Kelso J. Cortical coordination dynamics and cognition. Trends Cogn Sci 2001;5:26-36]. Methods: Two periodic sources were simulated and the effects of transient source correlation on the spatial and temporal performance of the MEG beamformer were examined. Subsequently, the interdependencies of the reconstructed sources were investigated using coherence and phase synchronization analysis based on Mutual Information. Finally, two interacting nonlinear systems served as neuronal sources and their phase interdependencies were studied under realistic measurement conditions. Results: Both the spatial and the temporal beamformer source reconstructions were accurate as long as the transient source correlation did not exceed 30-40 percent of the duration of beamformer analysis. In addition, the interdependencies of periodic sources were preserved by the beamformer and phase synchronization of interacting nonlinear sources could be detected. Conclusions: MEG beamformer methods in conjunction with analysis of source interdependencies could provide accurate spatial and temporal descriptions of interactions between linear and nonlinear neuronal sources. Significance: The proposed methods can be used for the study of interactions between neuronal sources. © 2005 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Astrocyte-neuron signalling by synaptic stimulation in the ventrobasal thalamus

In the Ventrobasal (VB) thalamus, astrocytes are known to elicit NMDA-receptor mediated slow inward currents (SICs) spontaneously in neurons. Fluorescence imaging of astrocytes and patch clamp recordings from the thalamocortical (TC) neurons in the VB of 6-23 day old Wistar rats were performed. TC neurons exhibit spontaneous SICs at low frequencies (~0.0015Hz) that were inhibited by NMDA-receptor antagonists D-AP5 (50µM), and were insensitive to TTX (1µM) suggesting a non-neuronal origin. The effect of corticothalamic (CT) and sensory (Sen) afferent stimulation on astrocyte signalling was assessed by varying stimulus parameters. Moderate synaptic stimulation elicited astrocytic Ca2+ increases, but did not affect the incidence of spontaneous SICs. Prolonged synaptic stimulation induced a 265% increase in SIC frequency. This increase lasted over one hour after the cessation of synaptic stimulation, so revealing a Long Term Enhancement (LTE) of astrocyte-neuron signalling. LTE induction required group I mGluR activation. LTE SICs targeted NMDA-receptors located at extrasynaptic sites. LTE showed a developmental profile: from weeks 1-3, the SIC frequency was increased by an average 50%, 240% and 750% respectively. Prolonged exposure to glutamate (200µM) increased spontaneous SIC frequency by 1800%. This “chemical” form of LTE was prevented by the broad-spectrum excitatory amino acid transporter (EAAT) inhibitor TBOA (300µM) suggesting that glutamate uptake was a critical factor. My results therefore show complex glutamatergic signalling interactions between astrocytes and neurons. Furthermore, two previously unrecognised mechanisms of enhancing SIC frequency are described. The synaptically induced LTE represents a form of non-synaptic plasticity and a glial “memory” of previous synaptic activity whilst enhancement after prolonged glutamate exposure may represent a pathological glial signalling mechanism.

Investigating the human mirror neuron system by means of cortical synchronization during the imitation of biological movements

The human mirror neuron system (MNS) has recently been a major topic of research in cognitive neuroscience. As a very basic reflection of the MNS, human observers are faster at imitating a biological as compared with a non-biological movement. However, it is unclear which cortical areas and their interactions (synchronization) are responsible for this behavioural advantage. We investigated the time course of long-range synchronization within cortical networks during an imitation task in 10 healthy participants by means of whole-head magnetoencephalography (MEG). Extending previous work, we conclude that left ventrolateral premotor, bilateral temporal and parietal areas mediate the observed behavioural advantage of biological movements in close interaction with the basal ganglia and other motor areas (cerebellum, sensorimotor cortex). Besides left ventrolateral premotor cortex, we identified the right temporal pole and the posterior parietal cortex as important junctions for the integration of information from different sources in imitation tasks that are controlled for movement (biological vs. non-biological) and that involve a certain amount of spatial orienting of attention. Finally, we also found the basal ganglia to participate at an early stage in the processing of biological movement, possibly by selecting suitable motor programs that match the stimulus.