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Artykuły w czasopismach na temat "Low resolution brain electromagnetic tomography (LORETA)"

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Pascual-Marqui, Roberto D. "Low Resolution Brain Electromagnetic Tomography (LORETA)." Journal of Neurotherapy 4, no. 4 (2001): 31–33. http://dx.doi.org/10.1300/j184v04n04_05.

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Pascual-Marqui, R. "Low resolution brain electromagnetic tomography (LORETA)." Electroencephalography and Clinical Neurophysiology 103, no. 1 (1997): 25–26. http://dx.doi.org/10.1016/s0013-4694(97)88020-4.

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Tejay, Gurvirender P., and Zareef A. Mohammed. "Examining the Low- Resolution Electromagnetic Tomography Technique for EEG Brain Mapping." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 54, no. 1 (2023): 66–81. http://dx.doi.org/10.1145/3583581.3583586.

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NeuroIS presents a new opportunity for information systems research. Often used neuroscience techniques include brain mapping with the functional magnetic resonance imaging (fMRI) device or eventrelated potential time-domain studies with the electroencephalogram (EEG). The critics of EEG consider the poor spatial resolution as justification for EEG's inadequacy to brain mapping studies. However, the low-resolution electromagnetic tomography (LORETA) technique provides strong estimation parameters allowing EEG to perform brain mapping. This paper presents EEG (with lower number of channels) and
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Painold, Annamaria, Peter Anderer, Anna K. Holl, et al. "EEG low-resolution brain electromagnetic tomography (LORETA) in Huntington’s disease." Journal of Neurology 258, no. 5 (2010): 840–54. http://dx.doi.org/10.1007/s00415-010-5852-5.

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Sherlin, Leslie, and Marco Congedo. "Obsessive-compulsive dimension localized using low-resolution brain electromagnetic tomography (LORETA)." Neuroscience Letters 387, no. 2 (2005): 72–74. http://dx.doi.org/10.1016/j.neulet.2005.06.069.

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Pascual-Marqui, R. D., M. Koukkou, K. Kochi, and D. Lehmann. "Low Resolution Brain Electromagnetic Tomography (LORETA) Cross-Registered to the Standard Talairach Brain Atlas." NeuroImage 7, no. 4 (1998): S807. http://dx.doi.org/10.1016/s1053-8119(18)31640-9.

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Zeltser, Angelina, Aleksandra Ochneva, Daria Riabinina, et al. "EEG Techniques with Brain Activity Localization, Specifically LORETA, and Its Applicability in Monitoring Schizophrenia." Journal of Clinical Medicine 13, no. 17 (2024): 5108. http://dx.doi.org/10.3390/jcm13175108.

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Background/Objectives: Electroencephalography (EEG) is considered a standard but powerful tool for the diagnosis of neurological and psychiatric diseases. With modern imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), and magnetoencephalography (MEG), source localization can be improved, especially with low-resolution brain electromagnetic tomography (LORETA). The aim of this review is to explore the variety of modern techniques with emphasis on the efficacy of LORETA in detecting brain activity patterns in schizophrenia. The study’s novelty lies in the comp
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Dattola, Serena, Francesco Carlo Morabito, Nadia Mammone, and Fabio La Foresta. "Findings about LORETA Applied to High-Density EEG—A Review." Electronics 9, no. 4 (2020): 660. http://dx.doi.org/10.3390/electronics9040660.

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Electroencephalography (EEG) is a non-invasive diagnostic technique for recording brain electric activity. The EEG source localization has been an area of research widely explored during the last decades because it provides helpful information about brain physiology and abnormalities. Source localization consists in solving the so-called EEG inverse problem. Over the years, one of the most employed method for solving it has been LORETA (Low Resolution Electromagnetic Tomography). In particular, in this review, we focused on the findings about the LORETA family algorithms applied to high-densit
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Sherlin, Leslie, Thomas Budzynski, Helen Kogan Budzynski, Marco Congedo, Mary E. Fischer, and Dedra Buchwald. "Low-resolution electromagnetic brain tomography (LORETA) of monozygotic twins discordant for chronic fatigue syndrome." NeuroImage 34, no. 4 (2007): 1438–42. http://dx.doi.org/10.1016/j.neuroimage.2006.11.007.

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Frei, Edi, Alex Gamma, Roberto Pascual-Marqui, Dietrich Lehmann, Daniel Hell, and Franz X. Vollenweider. "Localization of MDMA-induced brain activity in healthy volunteers using low resolution brain electromagnetic tomography (LORETA)." Human Brain Mapping 14, no. 3 (2001): 152–65. http://dx.doi.org/10.1002/hbm.1049.

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Rozprawy doktorskie na temat "Low resolution brain electromagnetic tomography (LORETA)"

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Gheller, Flavia. "Restoration of auditory network after Cochlear Implant: A P300 and EEG study using LORETA (Low resolution brain electromagnetic tomography)." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3425404.

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The proper functioning of the auditory processing needs an integration of many types of information, and a synchronised action between auditory cortex and other cortical and subcortical centres. The normal development of connectivity between the auditory system and the higher neurocognitive functions depends on sensory experience, and congenital hearing loss makes it essentially impossible. The aim of this work was to perform an electrophysiological analysis of auditory cortical areas in patients with cochlear implant (CI). Thirty implanted patients were included in the study. Twenty-four
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Paquette, Vincent. "L'effet de la psychoneurothérapie sur l'activité électrique du cerveau d'individus souffrant du trouble dépressif majeur unipolaire." Thèse, 2008. http://hdl.handle.net/1866/6707.

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Części książek na temat "Low resolution brain electromagnetic tomography (LORETA)"

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Sherlin, Leslie H. "Diagnosing and treating brain function through the use of low resolution brain electromagnetic tomography (LORETA)." In Introduction to Quantitative EEG and Neurofeedback. Elsevier, 2009. http://dx.doi.org/10.1016/b978-0-12-374534-7.00004-6.

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W. Thatcher, Robert, Carl J. Biver, Ernesto Palermero Soler, Joel Lubar, and J. Lucas Koberda. "Advances in Electrical Neuroimaging, Brain Networks and Neurofeedback Protocols." In Smart Biofeedback - Perspectives and Applications. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94326.

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Human EEG biofeedback (neurofeedback) started in the 1940s using 1 EEG recording channel, then to 4 channels in the 1990s. New advancements in electrical neuroimaging expanded EEG biofeedback to 19 channels using Low Resolution Electromagnetic Tomography (LORETA) three-dimensional current sources of the EEG. In 2004–2006 the concept of a “real-time” comparison of the EEG to a healthy reference database was developed and tested using surface EEG z-score neurofeedback based on a statistical bell curve called “real-time” z-scores. The “real-time” or “live” normative reference database comparison
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M. Bonn, Marquise, Liliana Alvarez, James W.G. Thompson, and James P. Dickey. "Impact of Biofeedback Interventions on Driving Performance in Individuals with Persistent Post-Concussive Symptoms." In Therapy Approaches in Neurological Disorders. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95415.

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Low resolution electromagnetic tomography (LoRETA) neurofeedback and heart rate variability (HRV) biofeedback may improve driving ability by enhancing attention, impulse control, and peripheral vision, and reducing stress. However, it is unclear whether combined LoRETA neurofeedback and HRV biofeedback can improve driving performance for individuals experiencing persistent post-concussive symptoms (PPCS). In this study, seven individuals with PPCS completed an eight-week LoRETA neurofeedback and HRV biofeedback intervention. Changes in participants’ simulated driving performance and self-repor
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Sittiprapaporn, Wichian. "Pre-Attentive Processing of Sound Duration Changes: Low Resolution Brain Electromagnetic Tomography Study." In Advances in Brain Imaging. InTech, 2012. http://dx.doi.org/10.5772/28291.

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Narendra Kumar Rao, B., and G. Sailaja. "Brain Interaction Assessment Using EEG Source Localization." In Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2105-8.ch008.

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In standardized low-resolution brain electromagnetic tomography (SLORETA), the electrical activity recorded by the electroencephalogram (EEG) electrodes, is transformed into a three-dimensional source distribution within the brain. It helps us in understanding the internal details of human brain and its working. It helps us in visualizing and analyzing the activity of the brain electrically with exceptional precision. The EEG recordings along with mathematical algorithms (advanced) help in reconstruction of neural foundational blocks for the recorded brain signals. This transformation is achie
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Brownback, Thomas S., and Christen Holmes Stahl. "Utilizing quantitative electroencephalographic assessment and standardized low-resolution brain electromagnetic tomography neurotherapy in the treatment of trauma and dissociation." In Introduction to Quantitative EEG and Neurofeedback. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-89827-0.00013-9.

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Watanabe, Yuka, Hideaki Tanaka, and Koichi Hirata. "Evaluation of Cognitive Function in Migraine Patients." In Advances in Bioinformatics and Biomedical Engineering. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2113-8.ch031.

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Cognitive impairments are observed in a portion of patients with migraines, but the underlying mechanisms for this impairment are not known. Event-related potentials (ERPs) have been recorded to clarify the mechanism, and the ERPs suggest that migraineurs exhibit exacerbated attention, executive dysfunction, and lack of habituation. Many factors, such as migraine phase, subtype, illness severity and duration, and preventive medicine use, are directly and indirectly involved in the cognitive function of migraine patients. Few reports have systematically considered these factors during the evalu
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Streszczenia konferencji na temat "Low resolution brain electromagnetic tomography (LORETA)"

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Sroykham, Watchara, and Yodchanan Wongsawat. "Visual Function and Emotional Regulation in Achromatic Color and Chromatic Color using Low Resolution Brain Electromagnetic Tomography Analysis (LORETA)." In 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2022. http://dx.doi.org/10.23919/apsipaasc55919.2022.9979809.

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Sittiprapaporn, Wichian. "Brain Imaging of Different Music Sound Duration as Revealed by Standardized Low Resolution Brain Electromagnetic Tomography (sLORETA)." In 2009 2nd International Conference on Biomedical Engineering and Informatics. IEEE, 2009. http://dx.doi.org/10.1109/bmei.2009.5304915.

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