Mapping the epileptic brain with EEG dynamical connectivity: Established methods and novel approaches

Papadopoulou, Margarita; Vonck, Kristl; Boon, Paul; Marinazzo, Daniele

doi:10.1140/epjp/i2012-12144-5

Cited by 6 publications

(2 citation statements)

References 70 publications

(77 reference statements)

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“…The first approach generalizes the concept of Granger causality to the spectral domain. It has been applied to iEEG recorded from patients with epilepsy: (i) around the seizure onset, to identify the putative epileptogenic zone (van Mierlo et al 2011; Papadopoulou et al 2012) or (ii) during the performance of cognitive tasks, to investigate distributed neuronal processing (Brázdil et al 2009; Flinker et al 2015). DTF has also been used to infer directed functional connectivity between reconstructed sources (RS) in humans (Dai et al 2012) and from intracranial recordings of monkeys (Liang et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Estimating Directed Connectivity from Cortical Recordings and Reconstructed Sources

2015

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In cognitive neuroscience, electrical brain activity is most commonly recorded at the scalp. In order to infer the contributions and connectivity of underlying neuronal sources within the brain, it is necessary to reconstruct sensor data at the source level. Several approaches to this reconstruction have been developed, thereby solving the so-called implicit inverse problem Michel et al. (Clin Neurophysiol 115:2195-2222, 2004). However, a unifying premise against which to validate these source reconstructions is seldom available. The dataset provided in this work, in which brain activity is simultaneously recorded on the scalp (non-invasively) by electroencephalography (EEG) and on the cortex (invasively) by electrocorticography (ECoG), can be of a great help in this direction. These multimodal recordings were obtained from a macaque monkey under wakefulness and sedation. Our primary goal was to establish the connectivity architecture between two sources of interest (frontal and parietal), and to assess how their coupling changes over the conditions. We chose these sources because previous studies have shown that the connections between them are modified by anaesthesia Boly et al. (J Neurosci 32:7082-7090, 2012). Our secondary goal was to evaluate the consistency of the connectivity results when analyzing sources recorded from invasive data (128 implanted ECoG sources) and source activity reconstructed from scalp recordings (19 EEG sensors) at the same locations as the ECoG sources. We conclude that the directed connectivity in the frequency domain between cortical sources reconstructed from scalp EEG is qualitatively similar to the connectivity inferred directly from cortical recordings, using both data-driven (directed transfer function) and biologically grounded (dynamic causal modelling) methods. Furthermore, the connectivity changes identified were consistent with previous findings Boly et al. (J Neurosci 32:7082-7090, 2012). Our findings suggest that inferences about directed connectivity based upon non-invasive electrophysiological data have construct validity in relation to invasive recordings.

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Section: Introductionmentioning

confidence: 99%

Estimating Directed Connectivity from Cortical Recordings and Reconstructed Sources

2015

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“…In the article by M. Papadopoulou et al [5], entitled Mapping the epileptic brain with EEG dynamical connectivity: established methods and novel approaches, the issue of dynamical connectivity in the brain is discussed. The problem is to retrieve the structure of a complex network, in this case of the brain, from the dynamics at his nodes, in this case the electroencephalographic sensors.…”

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confidence: 99%

Editorial: Advanced physical methods in brain research

Bellotti

Pascazio

2012

Eur. Phys. J. Plus

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Altered patterns of directed connectivity within the reading network of dyslexic children and their relation to reading dysfluency

Žarić

Correia

González

et al. 2017

Developmental Cognitive Neuroscience

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Reading is a complex cognitive skill subserved by a distributed network of visual and language-related regions. Disruptions of connectivity within this network have been associated with developmental dyslexia but their relation to individual differences in the severity of reading problems remains unclear. Here we investigate whether dysfunctional connectivity scales with the level of reading dysfluency by examining EEG recordings during visual word and false font processing in 9-year-old typically reading children (TR) and two groups of dyslexic children: severely dysfluent (SDD) and moderately dysfluent (MDD) dyslexics. Results indicated weaker occipital to inferior-temporal connectivity for words in both dyslexic groups relative to TRs. Furthermore, SDDs exhibited stronger connectivity from left central to right inferior-temporal and occipital sites for words relative to TRs, and for false fonts relative to both MDDs and TRs. Importantly, reading fluency was positively related with forward and negatively with backward connectivity. Our results suggest disrupted visual processing of words in both dyslexic groups, together with a compensatory recruitment of right posterior brain regions especially in the SDDs during word and false font processing. Functional connectivity in the brain's reading network may thus depend on the level of reading dysfluency beyond group differences between dyslexic and typical readers.

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Mapping the epileptic brain with EEG dynamical connectivity: Established methods and novel approaches

Cited by 6 publications

References 70 publications

Estimating Directed Connectivity from Cortical Recordings and Reconstructed Sources

Estimating Directed Connectivity from Cortical Recordings and Reconstructed Sources

Editorial: Advanced physical methods in brain research

Altered patterns of directed connectivity within the reading network of dyslexic children and their relation to reading dysfluency

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