Elsevier

Clinical Neurophysiology

Volume 121, Issue 8, August 2010, Pages 1153-1175
Clinical Neurophysiology

Invited review
Current themes in neuroimaging of epilepsy: Brain networks, dynamic phenomena, and clinical relevance

https://doi.org/10.1016/j.clinph.2010.01.004Get rights and content

Abstract

Brain scanning methods were first applied in patients with epilepsy more than 30 years ago. A very substantial literature now exists in this field, which is exponentially increasing. Contemporary neuroimaging studies in epilepsy reflect new concepts in the epilepsies, as well as current methodological developments. In particular, this area is emphasising the role of networks in epileptogenicity, the existence of dynamic phenomena which can be captured by imaging, and is beginning to validate the implementation of neuroimaging in the clinic. Here, recent studies of the last 5 years are reviewed, covering the full range of neuroimaging methods with SPECT, PET and MRI in epilepsy.

Introduction

Early conceptualisations of epilepsy as either “focal” or “generalised” have been subjected to increasing challenge over decades by the identification of widespread bilateral phenomena in focal epilepsies (for example, the network changes reviewed by Spencer (2002)) and the finding of focal features of supposedly generalised epilepsy syndromes, exemplified by the finding of a localised cortical focus which drives absence seizures in a rat model (Meeren et al., 2002). Current neuroimaging studies of human epilepsies are increasingly revealing networks of interconnected brain regions which characterise specific epilepsy disorders. These findings further challenge the concept of “localisation-related” epilepsy, and also challenge assumptions about specific focal origins of associated cognitive deficits in epilepsy disorders.

An image may be considered a merely static representation of an object. In the context of a highly dynamic entity such as the brain, imaging might be rather limited as a means to describe relevant phenomena, especially in contrast with the temporally rich data produced using neurophysiological methods. On the contrary, from the earliest era of detailed human brain imaging, dynamically changing phenomena have been central to neuroimaging investigation of epilepsy – for example, imaging seizure dynamics using ictal single photon emission computed tomography (SPECT). Many imaging modalities have been developed to capture dynamic phenomena which may change rapidly or more slowly (such as blood flow, glucose metabolism, and aspects of neurochemistry and neurotransmitter systems). Even imaging modalities capable only of capturing static (structural) phenomena can be repeated serially over time, and capture dynamic and evolving changes related to natural history or treatment interventions.

Neuroimaging in epilepsy has not been immune to a broad criticism of biomedical research, that scientific advances are not translated into benefit for patients sufficiently quickly. Despite more than three decades of neuroimaging research involving complex brain scanning, relatively few imaging tools are in routine use, and very few are supported by the kind of substantial evidence-base which would be required to support the implementation of a new treatment.

In this review, I attempt to assemble neuroimaging publications of the last 5 years into these three themes: the growing evidence for network abnormalities in epilepsies; explorations of dynamic phenomena; and attempts to develop the evidence required to move new imaging modalities into clinical routine. I include here only typical imaging methods, and do not discuss methods which rely only on EEG or MEG source localisation. Where necessary, a few older studies are described to set the context, but the emphasis is entirely on recent studies, and the near future. The intention is to bring these studies to the attention of non-experts in neuroimaging, in the hope that productive cross-fertilisation between fields may be facilitated.

Section snippets

SPECT

SPECT uses photon-emitting radioisotopes attached to molecules designed to label the brain component of interest, and relatively simple gamma camera technology to produce images of radioisotope distribution following peripheral intravenous injection of the radiolabelled compound. The brain systems imaged with SPECT depend on the nature of the radiolabelled compound injected. Although some studies in epilepsy have used SPECT to examine neurotransmitter systems, the overwhelming majority of

PET

Positron emission tomography (PET) also uses radioisotopes to produce images, but unlike SPECT, PET isotopes emit positrons. The emitted positron travels a very small distance before colliding with an electron in the surrounding environment and being annihilated. This annihilation produces energy (two photons which travel from the site of annihilation in diametrically opposite directions); PET imaging technology depends on the simultaneous coincident detection of this pair of photons. As with

Structural imaging

Although the basic MRI characteristics of common underlying aetiologies of epilepsy are very well established (e.g. HS, malformations of cortical development (MCD), focal cortical dysplasia (FCD), tumours, cerebrovascular disease, brain trauma, etc.), structural imaging continues to be a dominant modality of neuroimaging research in epilepsy.

Voxel-based analyses of structural imaging

The technique of voxel-based morphometry (VBM) was developed to detect subtle regional changes in tissue volume or density throughout the whole brain in an automated and objective manner, without the need to determine a priori which specific brain areas to examine – in other words, VBM is a method to explore for morphological changes throughout the whole brain (Ashburner and Friston, 2000). The basic step is to warp all subjects’ brains to a standard space, and then examine subtle regional

DTI

Diffusion-tensor imaging (DTI) measures movement of water molecules through local tissues. The ease with which water can diffuse through tissue is expressed as mean diffusivity (MD) or apparent diffusion coefficient (ADC). In white matter, myelinated nerve fibre bundles encourage diffusion along nerve fibre tracts but restrict diffusion perpendicular to tracts; the extent of this tendency for diffusion to prefer one direction rather than another is expressed as fractional anisotropy (FA).

MRS

Magnetic resonance spectroscopy (MRS) of the hydrogen 1H nucleus in living tissues is a well-established technique capable of measuring concentrations of certain biologically relevant compounds and groups of related compounds. Although these data are of great interest, it is not possible to infer which tissue or which cellular component harbours the abnormality. For example, GABA is found in a number of different cells and cellular compartments; finding an abnormality of GABA with MRS does not

EEG-fMRI

The simultaneous recording of scalp EEG during fMRI is technically very demanding, but allows haemodynamic (blood oxygenation-level dependent, BOLD) responses which correlate with EEG phenomena to be identified, and hence related to underlying anatomy in the brain imaging. Although not a new technique, it has advanced considerably in the recent past; these advances have been recently reviewed (Laufs et al., 2008, Laufs and Duncan, 2007), and technical aspects have been thoroughly reviewed

Language fMRI

Functional MRI of language is relatively simple in principle. Typically a “block” design is used, during which the subject spends a period of time (a “block”) performing one task in the scanner, alternating with periods of time performing a different task. The task might be, for example, a verb generation task, in which the subject sees on a screen in the scanner a series of single nouns, and for each noun generates an appropriate verb which is “spoken” internally to oneself (e.g. presented the

Memory fMRI

Using fMRI to probe memory function is more difficult than examining language function with fMRI, partly because the design of suitable in-scanner memory tasks is much more difficult, and also because detection of changes in BOLD signal in the mesial temporal regions can be technically challenging. In this context fMRI holds promise to measure an aspect of normal mesial TL activity, and hence to infer the presence of dysfunction in the mesial TL related to a putative seizure-onset zone. This

Other brain systems examined with fMRI

Brain regions in the vicinity of the mesial TL subserve olfactory processes. In an interesting study, patients with mTLE were studied with an olfactory stimulus during scanning, and failed to activate olfactory brain regions ipsilateral to the side of seizure onset (Ciumas et al., 2008). The amygdala, immediately adjacent to hippocampus in the mesial TL, may respond particularly to faces with fearful expressions; an fMRI paradigm involving showing fearful faces activates amygdala and may

A crucial evidence gap: clinical trials of neuroimaging in epilepsy

Neuroimaging studies in epilepsy using “scanning” technologies were first undertaken in the 1970s. Despite more than a third of a century of research in this field, rigorous studies of the cost-benefit or predictive value of neuroimaging in clinical practice in epilepsy are scant. For example, the UK’s National Institute for Health and Clinical Excellence issued a comprehensive set of guidelines and accompanying commentaries (Stokes et al., 2004) which failed to identify any study of

The cutting-edge: future studies emerging now

Labelling of ligands and tracers with magnetic nanoparticles holds extraordinary promise as a method to combine the ability of PET, which can identify specific receptors and neurochemical processes, with the lack of radiation and high resolution of MRI. Proof of principle has already been achieved using magnetic nanoparticles labelled with AMT, which were taken up in the epileptogenic regions of an animal model and successfully detected using MRI (Akhtari et al., 2008). PET is costly, not

Conclusion

As will be clear from this review, currently the research area of neuroimaging in epilepsy is vigorous and thriving, showing an eagerness to adopt new methods. Despite more than 250 studies reviewed here from just the last 5 years (which is certainly not exhaustive), added to thousands more from previous periods, this area of research activity is still very far from completing a description of the epilepsies with neuroimaging methods. I have argued here that there is much inconsistency between

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