Academic literature on the topic 'Low resolution brain electromagnetic tomography (LORETA)'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Low resolution brain electromagnetic tomography (LORETA).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Low resolution brain electromagnetic tomography (LORETA)"

1

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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 LORETA techniques as an effective approach for exploratory investigation specially when researchers are constrained with lack of resources (specially at significantly lower costs). We demonstrate the effectiveness of EEG using sLORETA with respect to fMRI as proof-of-concept approach to study IS phenomenon. The results of such studies can serve as a preliminary step for further analysis with the use of more sophisticated neuroscience devices. This can enhance IS research by taking advantage of both high temporal and spatial resolution leading to reduced estimation errors of neural activity and stronger basis for correlating neural activity and specific tasks. We also present a set of guidelines for using the LORETA family of techniques in IS research.
APA, Harvard, Vancouver, ISO, and other styles
4

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
Abstract:
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 comprehensive survey of EEG methods and detailed exploration of LORETA in schizophrenia research. This evaluation aligns with clinical objectives and has been performed for the first time. Methods: The study is split into two sections. Part I examines different EEG methodologies and adjuncts to detail brain activity in deep layers in articles published between 2018 and 2023 in PubMed. Part II focuses on the role of LORETA in investigating structural and functional changes in schizophrenia in studies published between 1999 and 2024 in PubMed. Results: Combining imaging techniques and EEG provides opportunities for mapping brain activity. Using LORETA, studies of schizophrenia have identified hemispheric asymmetry, especially increased activity in the left hemisphere. Cognitive deficits were associated with decreased activity in the dorsolateral prefrontal cortex and other areas. Comparison of the first episode of schizophrenia and a chronic one may help to classify structural change as a cause or as a consequence of the disorder. Antipsychotic drugs such as olanzapine or clozapine showed a change in P300 source density and increased activity in the delta and theta bands. Conclusions: Given the relatively low spatial resolution of LORETA, the method offers benefits such as accessibility, high temporal resolution, and the ability to map depth layers, emphasizing the potential of LORETA in monitoring the progression and treatment response in schizophrenia.
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
Abstract:
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-density EEGs (HD-EEGs), used for improving the low spatial resolution deriving from the traditional EEG systems. The results were classified according to their clinical application and some aspects arisen from the analyzed papers were discussed. Finally, suggestions were provided for future improvement. In this way, the combination of LORETA with HD-EEGs could become an even more valuable tool for noninvasive clinical evaluation in the field of applied neuroscience.
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Low resolution brain electromagnetic tomography (LORETA)"

1

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.

Full text
Abstract:
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 of them were prelingual patients and they were divided into three groups, according to the age at time of CI surgery and to the duration of CI use: group A - early implant and lengthy CI use, group B - late implant and lengthy CI use, group C - late implant and short CI use. The remaining six patients were affected by postlingual deafness, and they were included in the group D. Each patient group was compared with a normal hearing age matched control group. Each subject underwent an Event-related potentials (ERPs) evaluation and electroencephalographic registration. All data analysis were performed by using Loreta software (Low Resolution Electromagnetic Tomography). ERPs latencies were for the most part significantly longer in patients than in controls. Concerning the Event-related cortical activity, all the control groups showed a high and well-defined activation in frontals areas and the cingulate cortex, in the N200 and P300 time windows. A comparable activation in strength and timing, between patients and controls, was only found in the first prelingual patient group (A), and to a lesser extent in the second group (B), while patients belonging to the third prelingual group (C) showed a very low cortical activation, with no cyclic pattern. Postlingual patients (D) showed no difference in activation compared to controls. ln a second step of the study, functional connectivity was analysed from EEG data, in two different conditions: resting state and activation state. Default mode network, left and right Precuneus and associative visual cortex were examined. No difference between prelingual patients and controls was found in the first group (A). Functional connectivity showed a significant increase in the second (B) and third (C) prelingual patient group, especially in the activation state, and specifically between visual areas and Precuneus and posterior cingulate cortex, while postlingual patients (D) showed no difference compared to controls. Cochlear implant adds a new auditory modality in prelingual patients, allowing the creation of a functional network. This involves the areas implicated in sensory and cognitive modalities, and needs some time to form. The duration of CI use is crucial: prolonged CI use, in addiction to an early time of implant, can restore auditory network, allowing a normalization process, from both an audiological and a neurophysiological point of view. However, in the case of patients with postlingual hearing loss, cochlear implant seems to restore and reinforce a cortical network that has already been formed, before the onset of the hearing impairment.<br>Un corretto funzionamento del processamento uditivo necessità di una sincronizzazione tra corteccia uditiva ed altre unità corticali e subcorticali, e di elaborare molti tipi di informazioni differenti. Il normale sviluppo della connettività tra sistema uditivo a altre funzioni neurocognitive è strettaemente legato all’esperienza uditiva del soggetto. In questo senso la deprivazione uditiva rende impossibile un corretto sviluppo. Scopo del lavoro è stato valutare da un punto di vista elettrofisiologico l’attività corticale in pazienti con impianto cocleare. Il campione dello studio è costituito da trenta pazienti portatori di impianto cocleare (IC), dei quali 24 con un’ipoacusia preverbale e 6 postverbale. I soggetti preverbali sono stati suddivisi in tre gruppi, sulla base di due parametri, età di impianto e tempo di utilizzo del dispositivo: gruppo A – impianto precoce e lungo utilizzo; gruppo B – impianto tardivo e lungo utilizzo; gruppo C – impianto tardivo e breve periodo di utilizzo. I pazienti postverbali costituiscono il gruppo D. Ciascun gruppo di pazienti è stato confrontato con un gruppo di soggetti normoacusici, comparabile per età. Ogni soggetto è stato sottoposto a registrazione dei potenziali evento-correlati e a registrazione elettroencefalografica. Tutti i dati sono stati analizzati mediante l’utilizzo del software Loreta (Low Resolution Electromagnetic Tomography). Le latenze dei potenziali registrati sono risultati complessivamente maggiori nei pazienti rispetto ai controlli. Per quanto riguarda l’attivazione delle sorgenti corticali durante l’elicitazione dei potenziali, tutti i controlli hanno mostrato un’attivazione corticale definita e rilevante, in corrispondenza delle aree frontali e del cingolato, sia per quanto riguarda la N200 che per la P300. Un’attivazione corticale simile si è riscontrata solo nei pazienti appartenenti al gruppo A, e in misura minore a quelli del gruppo B, mentre i pazienti del gruppo C hanno mostrato un’attivazione corticale molto bassa, e senza un pattern ciclico. Nei pazienti postverbali del gruppo D invece non sono state riscontrate differenze di attivazione rispetto ai relativi controlli. In una seconda fase dello studio è stata valutata la connettività funzionale, mediante analisi dei dati EEG, in due differenti condizioni: stato di veglia rilassata e stato di attivazione. Sono stati analizzati il Default mode network, il precuneo, la corteccia visiva. Anche in questo caso il gruppo A di pazienti non ha mostrato differenze con i controlli, in termini di connettività. I pazienti del gruppo B, e ancora di più quelli del gruppo C, hanno mostrato valori più alti di connettività, specialmente per quanto riguarda lo stato di attivazione. Anche in questa analisi i pazienti del gruppo D non hanno mostrato differenze rispetto ai controlli. L’impianto cocleare crea una nuova modalità uditiva nei pazienti preverbali, permettendo la creazione di un network funzionale che richiede del tempo per formarsi, e che coinvolge aree implicate in attività di tipo sensoriale e cognitivo. Fondamentale per un miglioramento in termini audiologici e neurofisiologici è risultato il parametro di durata di utilizzo dell’impianto cocleare. Nei pazienti postverbali invece l’impianto cocleare va a ripristinare un network corticale già formato prima dell’insorgenza dell’ipoacusia.
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Low resolution brain electromagnetic tomography (LORETA)"

1

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
Abstract:
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 was developed to help reduce the uncertainty of what threshold to select to activate a feedback signal and to unify all EEG measures to a single value, i.e., the distance from the mean of an age matched reference sample. In 2009 LORETA z-score neurofeedback further increased the specificity by targeting brain network hubs referred to as Brodmann areas. A symptom check list program to help link symptoms to dysregulation of brain networks based on fMRI and PET and neurology was created in 2009. The symptom checklist and NIH based networks linking symptoms to brain networks grew out of the human brain mapping program starting in 1990 which is continuing today. A goal is to increase specificity of EEG biofeedback by targeting brain network hubs and connections between hubs likely linked to the patient’s symptoms. New advancements in electrical neuroimaging introduced in 2017 provide increased resolution of three-dimensional source localization with 12,700 voxels using swLORETA with the capacity to conduct cerebellar neurofeedback and neurofeedback of subcortical brain hubs such as the thalamus, amygdala and habenula. Future applications of swLORETA z-score neurofeedback represents another example of the transfer of knowledge gained by the human brain mapping initiatives to further aid in helping people with cognition problems as well as balance problems and parkinsonism. A brief review of the past, present and future predictions of z-score neurofeedback are discussed with special emphasis on new developments that point toward a bright and enlightened future in the field of EEG biofeedback.
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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-reported symptoms were measured and compared to two control groups: individuals with PPCS (n = 9), and healthy control participants (n = 8). Individuals in the intervention and PPCS control groups reported reduced PPCS severity (p &lt; .05) compared to healthy control participants. Interestingly, individuals in the intervention group responded variably. These results indicate that more research is necessary to identify the subgroup of individuals that respond to LoRETA neurofeedback and HRV biofeedback and confirm these preliminary results.
APA, Harvard, Vancouver, ISO, and other styles
4

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

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.

Full text
Abstract:
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 achieved by solving an inverse problem using linear, weighted minimum norm estimation. By solving this inverse problem, SLORETA estimates the locations and strengths of neural sources underlying the measured EEG signals. The accuracy and reliability of sLORETA have been validated through comparisons with other neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET).
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
Abstract:
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 evaluation of cognitive function in migraine patients. In addition, the neuroanatomical basis for these cognitive dysfunctions is not clear. Recently, spatiotemporal analyses of ERPs using multichannel EEG recording have been developed, which might aid in the clarification of the relationships between cognitive dysfunction and the underlying neuropathological mechanisms. The relationships between the cortical electrical activity distribution of ERP components using standardized low-resolution brain electromagnetic tomography (sLORETA) and pathogenic factors were clarified in this study.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Low resolution brain electromagnetic tomography (LORETA)"

1

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!