Combining EEG and fMRI: A multimodal tool for epilepsy research
TL;DR: The methodology involved in performing such studies, particularly the challenge of recording a good quality EEG inside the MR scanner while scanning is taking place, and the methods required for the statistical analysis of the combined EEG and fMRI time series are reviewed.
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Abstract: Patients with epilepsy often present in their electroencephalogram (EEG) short electrical potentials (spikes or spike-wave bursts) that are not accompanied by clinical manifestations but are of important diagnostic significance They result from a population of abnormally hyperactive and hypersynchronous neurons It is not easy to determine the location of the cerebral generators and the other brain regions that may be involved as a result of this abnormal activity The possibility to combine EEG recording with functional MRI (fMRI) scanning opens the opportunity to uncover the regions of the brain showing changes in the fMRI signal in response to epileptic spikes seen in the EEG These regions are presumably involved in the abnormal neuronal activity at the origin of epileptic discharges This paper reviews the methodology involved in performing such studies, particularly the challenge of recording a good quality EEG inside the MR scanner while scanning is taking place, and the methods required for the statistical analysis of the combined EEG and fMRI time series We review the results obtained in patients with different types of epileptic disorders and discuss the difficult theoretical problems raised by the interpretation of an increase (activation) and decrease (deactivation) in blood oxygen level dependent (BOLD) signal, both frequently seen in response to spikes
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EEG and MEG: relevance to neuroscience
TL;DR: The relevance of EEG/MEG signals to obtain novel insights into the neuronal mechanisms underlying cognitive processes is surveyed, with emphasis on neuronal oscillations (ultra-slow, theta, alpha, beta, gamma, and HFOs) and combinations of oscillations.
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Identifying neural drivers with functional MRI: an electrophysiological validation.
Olivier David,Isabelle Guillemain,Sandrine Saillet,Sebastien Reyt,Colin Deransart,Christoph Segebarth,Antoine Depaulis +6 more
TL;DR: The first experimental substantiation of the theoretical possibility to improve interregional coupling estimation from hidden neural states of fMRI is provided, which has important implications for future studies on brain connectivity using functional neuroimaging.
Review on solving the forward problem in EEG source analysis
Hans Hallez,Bart Vanrumste,Bart Vanrumste,Roberta Grech,Joseph Muscat,Wim De Clercq,Anneleen Vergult,Yves D'Asseler,Kenneth P. Camilleri,Simon G. Fabri,Sabine Van Huffel,Ignace Lemahieu +11 more
TL;DR: This review article focuses on different aspects of solving the forward problem of electroencephalogram source localization and introduces the use of reciprocity to speed up the forward calculations.
Altered Functional Connectivity and Small-World in Mesial Temporal Lobe Epilepsy
Wei-Ting Liao,Zhiqiang Zhang,Zhengyong Pan,Dante Mantini,Dante Mantini,Jurong Ding,Xujun Duan,Cheng Luo,Guangming Lu,Huafu Chen +9 more
TL;DR: The mTLE alterations observed in functional connectivity and topological properties may be used to define tentative disease markers, including altered small-world properties in patients, along with smaller degree of connectivity, increased n-to-1 connectivity, smaller absolute clustering coefficients and shorter absolute path length.
Dynamic time course of typical childhood absence seizures: EEG, behavior, and functional magnetic resonance imaging.
Xiaoxiao Bai,Matthew Vestal,Rachel Berman,Michiro Negishi,Marisa N. Spann,Clemente Vega,Matthew N. DeSalvo,Edward J. Novotny,Robert Todd Constable,Hal Blumenfeld +9 more
TL;DR: In this article, the authors acquired simultaneous EEG-fMRI in 88 typical childhood absence seizures from nine pediatric patients and investigated behavior concurrently using a continuous performance task or simpler repetitive tapping task.
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