Combined electroencephalography–functional magnetic resonance imaging and electrical source imaging improves localization of pediatric focal epilepsy

Centeno, María; Tierney, Tim M.; Perani, Suejen; Shamshiri, Elhum A.; Pier, Kelly St; Wilkinson, Charlotte; Konn, Daniel; Vulliémoz, Serge; Grouiller, Frédéric; Lemieux, Louis; Pressler, Ronit; Clark, Christopher A.; Cross, J. Helen; Carmichael, David W.

doi:10.1002/ana.25003

Cited by 45 publications

(42 citation statements)

References 37 publications

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“…Here we argue that for a wide variety of neuroscience applications maximising information content or spatial discrimination, although desirable, is not necessary. For instance, in paediatric epilepsy surgery, a crucial clinical application of MEG (De Tiège et al, 2012;Doss, Zhang, Risse, & Dickens, 2009;Englot et al, 2015;Rosenow & Lüders, 2001;Schneider et al, 2013;Sutherling, Mamelak, Thyerlei, & Maleeva, 2008) a large percentage of brain volume (~5-10%, equivalent to a 2-3cm radius sphere) may be resected (Centeno et al, 2017). The clinical question does not require the spatial discrimination between sources at a millimetre scale.…”

Section: Introductionmentioning

confidence: 99%

Pragmatic spatial sampling for wearable MEG arrays

Tierney

Mellor

O'Neill

et al. 2019

Preprint

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Several new technologies have recently emerged promising new MEG systems in which the sensors can be placed close to the scalp. One such technology, Optically Pumped Magnetometry MEG (OP-MEG) allows for a scalp mounted flexible system that provides field measurements within mm of the scalp surface. A question that arises in developing on-scalp systems, such as OP-MEG scanners, is: how many sensors are necessary to achieve adequate performance/spatial discrimination? There are many factors to consider in answering this question such as the signal to noise ratio (SNR), the locations and depths of the sources of interest, the density of spatial sampling, sensor gain errors (due to interference, subject movement, cross-talk, etc.) and, of course, the desired spatial discrimination. In this paper, we provide simulations which show the impact these factors have on designing sensor arrays for wearable MEG. While OP-MEG has the potential to provide high information content at dense spatial samplings, we find that adequate spatial discrimination of sources (<1cm) can be achieved with relatively few sensors (<100) at coarse spatial samplings (~30mm) at high SNR. Comparable discrimination for traditional cryogenic systems require far more channels by these same metrics. Finally we show that sensor gain errors have the greatest impact on discrimination between deep sources at high SNR.

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Section: Introductionmentioning

confidence: 99%

Pragmatic spatial sampling for wearable MEG arrays

Tierney

Mellor

O'Neill

et al. 2019

Preprint

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“…Patient's BOLD responses were analysed in Chapter 5, showing that the maximum BOLD peak has a high spatial relationship with the epilepsy localisation. This is consistent with previous investigations showing high spatial concordance between significant BOLD clusters and epileptogenic tissue (Grouiller et al, 2011, Elshoff et al, 2012, Centeno et al, 2017. In this study, neural activity associated with pathological voltage maps did not reflect similar haemodynamic patterns in healthy controls.…”

Section: Neural Correlates Of Pathological Voltage Maps In Patients Asupporting

confidence: 92%

High-frequency oscillations for the non-invasive localisation of the seizure onset zone

Urriola¹,

Antonio²

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Reutens for his significant contribution to the conception, design and critical revision of this thesis. Dr Steffen Bollmann for providing assistance in the acquisition and pre-processing of simultaneous electroencephalography and functional magnetic resonance imaging data (EEG-fMRI). VII. Statement of parts of the thesis submitted to qualify for the award of another degree No works submitted towards another degree have been included in this thesis.

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“…The validity and precision of source localizations based on high-density EEG (more than 100 electrodes), when using sophisticated source and head models, are generally underestimated (Michel et al, 2004 ; Plomp et al, 2010 ; Michel and Murray, 2012 ). Other imaging methods or direct intracranial recordings validated the correctness and precision of these EEG source localizations (Lantz et al, 2001 ; Tse and Penney, 2008 ; Megevand et al, 2014 ; Centeno et al, 2017 ). Finally, ERP source imaging adds the millisecond range temporal dimension.…”

Section: Introductionmentioning

confidence: 86%

Electrical Neuroimaging of Music Processing Reveals Mid-Latency Changes with Level of Musical Expertise

et al. 2017

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This original research focused on the effect of musical training intensity on cerebral and behavioral processing of complex music using high-density event-related potential (ERP) approaches. Recently we have been able to show progressive changes with training in gray and white matter, and higher order brain functioning using (f)MRI [(functional) Magnetic Resonance Imaging], as well as changes in musical and general cognitive functioning. The current study investigated the same population of non-musicians, amateur pianists and expert pianists using spatio-temporal ERP analysis, by means of microstate analysis, and ERP source imaging. The stimuli consisted of complex musical compositions containing three levels of transgression of musical syntax at closure that participants appraised. ERP waveforms, microstates and underlying brain sources revealed gradual differences according to musical expertise in a 300–500 ms window after the onset of the terminal chords of the pieces. Within this time-window, processing seemed to concern context-based memory updating, indicated by a P3b-like component or microstate for which underlying sources were localized in the right middle temporal gyrus, anterior cingulate and right parahippocampal areas. Given that the 3 expertise groups were carefully matched for demographic factors, these results provide evidence of the progressive impact of training on brain and behavior.

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Combined electroencephalography–functional magnetic resonance imaging and electrical source imaging improves localization of pediatric focal epilepsy

Abstract: EEG-fMRI combined with ESI provides a simple unbiased localization that may predict surgery better than each individual test, including in MRI-negative patients. Ann Neurol 2017;82:278-287.

Cited by 45 publications

References 37 publications

Pragmatic spatial sampling for wearable MEG arrays

Pragmatic spatial sampling for wearable MEG arrays

High-frequency oscillations for the non-invasive localisation of the seizure onset zone

Electrical Neuroimaging of Music Processing Reveals Mid-Latency Changes with Level of Musical Expertise

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