2010
DOI: 10.1016/j.clinph.2010.01.020
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Theta EEG source localization using LORETA in partial epilepsy patients with and without medication

Abstract: Objective. To investigate and localize the sources of spontaneous, scalp-recorded theta activity in patients with partial epilepsy (PE).Methods. 9 patients with beginning, untreated PE (Group1), 31 patients with already treated PE (Group2), and 14 healthy persons were investigated by means of spectral analysis and LORETA, low resolution electromagnetic tomography (1 Hz very narrow band analysis, age-adjusted, Z-scored values). The frequency of main interest was 4 to 8 Hz Results. Group analysis. Group1 display… Show more

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Cited by 25 publications
(26 citation statements)
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References 40 publications
(43 reference statements)
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“…Cortical sources of electrical activity in low-alpha, high-alpha and low-beta bands were estimated for each trial in the 500 ms time-window encompassing the BRO peak (50 ms to 550 ms after T0) by means of sLORETA [29], [43], which has been widely used to localize cortical current sources with set-ups consisting of as few as 19 electrodes [20], [44], [45].…”
Section: Methodsmentioning
confidence: 99%
“…Cortical sources of electrical activity in low-alpha, high-alpha and low-beta bands were estimated for each trial in the 500 ms time-window encompassing the BRO peak (50 ms to 550 ms after T0) by means of sLORETA [29], [43], which has been widely used to localize cortical current sources with set-ups consisting of as few as 19 electrodes [20], [44], [45].…”
Section: Methodsmentioning
confidence: 99%
“…To determine the sources of electrical activity in correspondence with EEG responses to blink events, the standardized Low Resolution Electromagnetic Tomography (sLORETA) method [Pascual-Marqui et al, 1994, 2002 was employed. sLORETA has been widely used to localize sources of currents with set-ups consisting of as few as 19 electrodes [Pascual-Marqui et al, 2002], reaching sublobar accuracy [Clemens et al, 2010].…”
Section: Source Modelingmentioning
confidence: 99%
“…Accurate estimations of the intracranial activity can be achieved with application of inverse methods such as low-resolution electromagnetic tomography (LORETA) and more recent iterations: standardized LORETA (sLORETA) and exact LORETA (eLORETA; Pascual-Marqui, Esslen, Kochi, & Lehmann, 2002;Pascual-Marqui, Lehmann, et al, 2011;Pascual-Marqui, Michel, & Lehmann, 1994). These methods, which allow cross-validation through voxel by voxel coregistration to PET, SPECT, fMRI for matching data to standard coordinate systems, have been used to characterize spatiotemporal dynamics in patients with a wide variety of clinical conditions such as Alzheimer's disease (Babiloni, Binetti, et al, 2004;Babiloni, Cassetta, et al, 2006;Canuet et al, 2012;Gianotti, Künig, Faber, et al, 2008;Gianotti, Künig, Lehmann, et al, 2007), mild cognitive impairment (Babiloni, Carducci, et al, 2013;Babiloni, Del Percio, et al, 2014;Babiloni, Frisoni, et al, 2006), other dementias (Nishida et al, 2011;Styliadis, Kartsidis, Paraskevopoulos, Ioannides, & Bamidis, 2015), epilepsy (Besenyei et al, 2012;Canuet et al, 2011;Clemens et al, 2010), Parkinson's disease (Babiloni et al, 2011;Moazami-Goudarzi, Sarnthein, Michels, Moukhtieva, & Jeanmonod, 2008), multiple sclerosis (Papageorgiou et al, 2007), chronic fatigue syndrome (Sherlin et al, 2007), congestive heart failure (Vecchio et al, 2015), obstructive sleep apnea (Toth, Faludi, Wackermann, Czopf, & Kondakor, 2009), migraine (Clemens et al, 2008), tinnitus (Vanneste et al, 2010), and Down's syndrome (Velikova et al, 2011). LORETA has also been used to investigate neuropsychiatric conditions including locked-in syndrome (Babiloni et al, 2010), anhedonia (Wacker, Dillon, & Pizzagalli, 2009), obsessive-compulsive disorder…”
Section: Diversementioning
confidence: 99%