Use of magnetoencephalography (MEG) to study functional brain networks in neurodegenerative disorders

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Abstract

The pathophysiological mechanisms underlying clinical symptoms in neurodegenerative disorders such as Parkinson's disease (PD) and Alzheimer's disease (AD) are incompletely understood. Magnetoencephalography (MEG) is a relatively new functional neuroimaging technique, which allows the simultaneous recording of the brain's magnetic activity from large arrays of sensors covering the whole head. MEG studies in PD and AD have identified characteristic patterns of abnormal oscillatory activity in different frequency bands. Furthermore, MEG studies aimed at the characterization of distributed functional networks have demonstrated distinct patterns of abnormal connectivity in demented and non-demented PD, as well as in AD. In PD abnormal oscillatory activity and disturbed connectivity may respond differently to dopaminergic treatment. Further studies in this field could benefit from new technological developments such as ultra low field MRI and from the application of a well-defined theoretical framework such as graph theory to the study of disturbed brain networks.

Introduction

Neurodegenerative disorders such as Parkinson's disease (PD) and Alzheimer's disease (AD) constitute a major health burden, especially in the ageing Western population. Although there is a large and increasing body of knowledge on the genetic, molecular and cellular mechanisms involved in these disorders, the exact cause is unknown, except for a few rare genetic variants. The pathophysiological mechanisms that ultimately give rise to the cognitive and motor disturbances are incompletely understood, even though treatment is likely to interact exactly at this level. A better understanding of the neurophysiological changes in neurodegenerative disease could bridge the gap between molecular and cellular levels on the one hand, and clinical symptoms on the other hand. Neurophysiological understanding could guide early and differential diagnosis, and may suggest new ways to monitor treatment response.

Tools from clinical neurophysiology have been used for many years in the study of PD and AD. Since a few years the availability of whole-head magnetoencephalography (MEG) systems has expanded the scope of such studies. MEG can record brain activity directly, and has several advantages compared to conventional EEG recordings. In contrast to EEG, MEG is hardly affected by the skull, and does not require a reference electrode. Therefore, MEG may provide a more accurate image of ongoing brain activity. In addition, significant advances have been made in neuroscience concerning the understanding of oscillatory and synchronized brain activities. In particular it is now assumed that synchronization of neural activity between different brain regions may reflect functional interactions between these regions [1]. Such synchronization processes can be measured at the level of the scalp with EEG and even better with MEG. Interesting patterns of abnormal oscillatory activity and interregional synchronization have now been described in various brain disorders, including PD and AD [2].

In the present review we will give an overview of MEG studies in PD and AD performed in the last decade. First we will briefly introduce MEG as a technique. Next, a short summary of current understanding of oscillations and synchronization will be given. We will then address MEG studies in PD and AD, and consider distinct and overlapping patterns of abnormalities in both disorders. Finally, we will address a number of remaining problems and point out directions for future research.

Section snippets

Magnetoencephalography

The continuously changing synaptic currents of cortical pyramidal neurons give rise not only to an electric but also to a magnetic field that can be recorded from outside the head. This is due to the fact that a change in an electrical field induces a magnetic field and a change in a magnetic field induces an electrical field. Recording of the brain's electrical field, the electroencephalogram (EEG) is relatively simple, and been used extensively in scientific studies and clinical practice

Oscillations and synchronization

MEG, like EEG, can record ongoing and task-induced activity of the brain. The signals are mainly generated in pyramidal neurons in the cortex in layers 3, 5 and 6. The dendritic trees of these neurons are covered with up to 10,000 excitatory and inhibitory synapses. Arrival of action potentials at the presynaptic terminal induces release of neurotransmitters, in particular aspartate and GABA, which bind to postsynaptic receptors and induce excitatory or inhibitory postsynaptic potentials (EPSPs

Early studies

One of the first MEG studies in PD was aimed at auditory evoked magnetic fields. Pekkonen et al. [9] studied 11 PD patients and 11 healthy, age-matched controls, and showed an increased interhemispheric latency difference of the auditory evoked field; they suggest that this might reflect the combined effect of basal ganglia disease and auditory cortex degeneration. In a series of investigations a group of Greek investigators used MEG to demonstrate the effect of magnetic stimulation on brain

Mild cognitive impairment

Full blown AD, like PD, takes many years to develop. From a clinical point of view early detection, if possible in a preclinical stage, is of considerable importance. This requires knowledge of the pathophysiological processes involved, and the way in which they can affect recordings of brain activity such as the MEG. In a very elegant study, Osipova et al. [17] investigated how changes in central cholinergic activity would affect spectral power and coherence of resting-state MEG recordings in

Conclusions

The advent of whole-head MEG systems, and the improvements in the understanding of oscillatory and synchronized brain activity, have opened up the way to study disturbances in large-scale brain networks in neurodegenerative disorders such as PD and AD. Many MEG studies, most of which were conducted in the last five years, have confirmed and extended findings from previous EEG work. It is becoming clear that PD and AD show characteristic patterns of abnormal brain function, both locally as

Acknowledgements

The author would like to thank mrs Els van Deventer for her untiring help in retrieving and collecting the necessary literature and mrs. Alexandra Linger for secretarial assistance. Many thanks also to Henk Berendse, Bob van Dijk, Jeroen Verbunt, Jan de Munck, Arjan Hillebrand, Andreas Daffertshofer, Guido Nolte, Diederick Stoffers, Hans Bosboom, Willem de Haan, Bethany Jones, Teresa Montez, Klaus Linkenkaer-Hansen, Ilonka Manshanden, PeterJan Ris, Erik Wolters and Philip Scheltens for the

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