Relevant bibliographies by topics / Low resolution brain electromagnetic tomography

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Low resolution brain electromagnetic tomography'

Author: Grafiati
Published: 2 June 2025
Last updated: 7 July 2025

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Journal articles on the topic "Low resolution brain electromagnetic tomography"

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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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Sos, P., M. Brunovsky, J. P. Prasko, J. Koprivova, B. Tislerova, and V. Krajca. "Low resolution brain electromagnetic tomography findings in panic disorder." European Psychiatry 23 (April 2008): S356—S357. http://dx.doi.org/10.1016/j.eurpsy.2008.01.1234.

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Iqbal, Muhammad Mubashir. "Performance Analysis of Low Resolution EEG Source Localization Techniques." Sir Syed University Research Journal of Engineering & Technology 12, no. 1 (2022): 52–57. http://dx.doi.org/10.33317/ssurj.411.

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the brain source localization has attained the significant fascination over the last few decades. Source localization in the human brain is a prospective complication that is derived in the multifaceted real-world complications because of the brain’s practical and biological density, other than medical precincts of assembling EEG from enormously various subjects. It is validated that the electromagnetic signal recorded on the top of scalp is owing to the collective actions of a neurons inside the brain. Any impulsive action of the brain, sensory stimulus, cognitive action, or the generation of motor yield possibly will offer intensification to such neuronal actions. Source- localization in human brain implicates the localization and detection of such primary neuronal originators into the brain. Although the renowned and different research in the area, the complications remnants to be mysterious inverse problem in the brain signal processing research. This paper highlighted the performance analysis the EEG source localization techniques based on standardized low resolution brain electromagnetic tomography (sLORETA) and exact low resolution brain electromagnetic tomography (eLORETA). The event related potential (ERP) records with chromatic stimulus are considered for analysis at diverse time intervals for both techniques and finally results are discussed in reports of scalp map, slice view and cortex map and proposed the optimum techniques for EEG source localization.
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Indra, K. Wardani, Sittiprapaporn Phakkharawat, Djohan, and Tyasinestu Fortunata. "Karawitans' musician brain adaptation: standardized low-resolution electromagnetic tomography study." International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 23–33. https://doi.org/10.11591/ijai.v23.i1.pp23-33.

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The rapid advancement of music studies has resulted in a plethora of multidisciplinary participants. Rather than distinguishing between musicians and non-musicians’ brain activity, the current study indicated differences in brain activity while musicians listened to music based on their musical experience. In Go/NoGo response task reaction times, it showed that effects between treatments and visits were different across periods of cognitive function tests. The cognitive function at post-listening assessment out-performed the pre-listening in terms of reaction times 531.94 (±24.70) msec for post-listening assessment; and 557.13 (±37.15) msec for pre-listening assessment. The results of using electroencephalography (EEG) recording in an experimental manner with Karawitan musicians (N=20) revealed that listening to unknown cultural music, Mozart's Piano Sonata in C Major, and western music resulted in increased brain activity. Furthermore, while Karawitan musicians were listening to Mozart's Piano Sonata in C Major, the major brain activity occurred in the frontal lobe. This outcome will elicit additional consideration of music's integration, such as neuroscience of music.
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Wardani, Indra K., Phakkharawat Sittiprapaporn, Djohan Djohan, and Fortunata Tyasinestu. "Karawitans’ musician brain adaptation: standardized low-resolution electromagnetic tomography study." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 23. http://dx.doi.org/10.11591/ijai.v12.i1.pp23-33.

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<span lang="EN-US">The rapid advancement of music studies has resulted in a plethora of multidisciplinary participants. Rather than distinguishing between musicians and non-musicians’ brain activity, the current study indicated differences in brain activity while musicians listened to music based on their musical experience. In Go/NoGo response task reaction times, it showed that effects between treatments and visits were different across periods of cognitive function tests. The cognitive function at post-listening assessment out-performed the pre-listening in terms of reaction times (531.94 (±24.70) msec for post-listening assessment; and 557.13 (±37.15) msec for pre-listening assessment. The results of using electroencephalography (EEG) recording in an experimental manner with Karawitan musicians (N=20) revealed that listening to unknown cultural music, Mozart's Piano Sonata in C Major, and western music resulted in increased brain activity. Furthermore, while Karawitan musicians were listening to Mozart's Piano Sonata in C Major, the major brain activity occurred in the frontal lobe. This outcome will elicit additional consideration of music's integration, such as neuroscience of music.</span>
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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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Pascual-Marqui, Roberto D., Dietrich Lehmann, Martha Koukkou, et al. "Assessing interactions in the brain with exact low-resolution electromagnetic tomography." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1952 (2011): 3768–84. http://dx.doi.org/10.1098/rsta.2011.0081.

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Scalp electric potentials (electroencephalogram; EEG) are contingent to the impressed current density unleashed by cortical pyramidal neurons undergoing post-synaptic processes. EEG neuroimaging consists of estimating the cortical current density from scalp recordings. We report a solution to this inverse problem that attains exact localization: exact low-resolution brain electromagnetic tomography (eLORETA). This non-invasive method yields high time-resolution intracranial signals that can be used for assessing functional dynamic connectivity in the brain, quantified by coherence and phase synchronization. However, these measures are non-physiologically high because of volume conduction and low spatial resolution. We present a new method to solve this problem by decomposing them into instantaneous and lagged components, with the lagged part having almost pure physiological origin.
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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 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.
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Jaušovec, Norbert, and Ksenija Jaušovec. "Spatiotemporal brain activity related to intelligence: a low resolution brain electromagnetic tomography study." Cognitive Brain Research 16, no. 2 (2003): 267–72. http://dx.doi.org/10.1016/s0926-6410(02)00282-3.

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

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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 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.
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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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Books on the topic "Low resolution brain electromagnetic tomography"

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Maquet, Pierre, and Julien Fanielle. Neuroimaging in normal sleep and sleep disorders. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0011.

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Functional neuroimaging techniques include methods that probe various aspects of brain function and help derive models of brain organization in health and disease. These techniques can be grouped in two categories. Some are mainly based on electromagnetic signals (electroencephalography, magnetoencephalography), recording brain activity using a large number of sensors with exquisite temporal resolution (usually of the order of a kilohertz) but allowing only indirect characterization of three-dimensional brain activity by resorting to mathematical models. The second type includes different techniques (PET scan, SPECT, MRI, optical imaging) that typically assess metabolic or hemodynamic parameters, with millimeter spatial resolution and usually from the entire brain volume. However, temporal resolution is usually low because it is primarily driven by metabolic processes that unfold in several seconds or minutes. This chapter focuses on this second type, covering the contribution of brain imaging to understanding NREM sleep and REM sleep and also sleep disorders.
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Book chapters on the topic "Low resolution brain electromagnetic tomography"

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Colella, Micol, Micaela Liberti, Francesca Apollonio, and Giorgio Bonmassar. "A Miniaturized Ultra-Focal Magnetic Stimulator and Its Preliminary Application to the Peripheral Nervous System." In Brain and Human Body Modeling 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_9.

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AbstractTranscranial magnetic stimulation (TMS) is a noninvasive brain stimulation technique used in the clinic to treat several neurological disorders and psychiatric diseases. One of TMS’s significant limitations is its low spatial resolution, which often results in a mismatch between the target area in the brain and the stimulation site on the scalp. To enhance its spatial resolution, we designed and built a complete stimulation system complete with a millimetric-diameter coil and microscopic traces (μCoil). The first tests conducted on healthy volunteers showed that the μCoil stimulation of the radial nerve in the wrist could indeed evoke somatosensory nerve action potentials (SNAPs). In this chapter, we study this nerve stimulation system with electromagnetic and neuron simulators on a neurofunctionalized model from the Virtual Population (ViP v.4) and a μCoil figure-8 geometry. In particular, we study how changes in the μCoil geometry, such as the number of layers, shape, and length of an iron or air core, may help to promote the generation of somatosensory nerve action potentials.
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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 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).
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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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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 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.
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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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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 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.
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Mykkänen Jouni, Tossavainen Timo, and Juhola Martti. "Lossless Compression of Emission Tomography Images." In Studies in Health Technology and Informatics. IOS Press, 2000. https://doi.org/10.3233/978-1-60750-921-9-1240.

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An adaptive lossless compression method using predictive coding with the Rice codes is proposed for low resolution three-dimensional biomedical images. The method is evaluated with the brain positron emission tomography (PET) images. The results are considerably better than with static arithmetic coding.
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Barba, Sal. "Multiple-channel advanced standardized weighted low-resolution electromagnetic tomography training for sustained clinical outcome." In Introduction to Quantitative EEG and Neurofeedback. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-89827-0.00017-6.

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Geetha Devi, Appari, Surya Prasada Rao Borra, and Kalapala Vidya Sagar. "A Hybrid Image Fusion Algorithm for Medical Applications." In Multimedia Information Retrieval. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96974.

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The main objective of medical imaging is to get a extremely informative image for higher designation. One modality of medical image cannot offer correct and complete data in several cases. In brain medical imaging, resonance Imaging (MRI) image shows structural data of the brain with none useful information, wherever as pc imaging (CT) image describes useful data of the brain however with low spatial resolution particularly with low dose CT scan, that is helpful to scale back the radiation impact to physique. Within the field of diagnosing, Image fusion plays a really very important role. Fusing the CT and tomography pictures provides a whole data concerning each soft and exhausting tissues of the physique. This paper proposes a 2 stage hybrid fusion formula. Initial stage deals with the sweetening of a coffee dose CT scan image exploitation totally different image sweetening techniques viz., bar graph Equalization and adaptation bar graph deed. Within the second stage, the improved low dose CT scan image is united with tomography image exploitation totally different fusion algorithms viz., distinct rippling rework (DWT) and Principal element Analysis (PCA). The projected formula has been evaluated and compared exploitation totally different quality metrics.
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Conference papers on the topic "Low resolution brain electromagnetic tomography"

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Origlia, Cristina, David O. Rodriguez-Duarte, and Francesca Vipiana. "Real-Time 3D Microwave Tomography of Brain Stroke Status Using Low-Computing Demand." In 2023 URSI International Symposium on Electromagnetic Theory (EMTS). IEEE, 2023. https://doi.org/10.1109/emts57498.2023.10925251.

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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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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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Hayakawa, Naoki, Masahito Yamanaka, Hiroyuki Kawagoe, Shuichi Makita, Yoshiaki Yasuno, and Norihiko Nishizawa. "High-resolution spectral-domain optical coherence microscopy at 1700 nm spectral band." In JSAP-OSA Joint Symposia. Optica Publishing Group, 2017. http://dx.doi.org/10.1364/jsap.2017.5p_a409_4.

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Optical coherence microscopy (OCM) is a non-destructive 3-dimentional (3D) imaging technique with micrometer-scale resolution, which is based on optical coherence tomography (OCT) and confocal microscopy [1-3]. Recently, it has been demonstrated that the OCT imaging depth is improved by using 1700 nm spectral band, so called “optical window 3”, due to the lower light absorption and a local minimum of water absorption in the wavelength region [4-8]. In our group, we developed a supercontinuum (SC) laser source at the 1700-nm wavelength region and demonstrated that 1700-nm OCT allows us to visualize the structures of mouse brain at a depth up to 1.7 mm [9-11]. We also successfully demonstrated 3D highresolution visualization of myelinated axons in a mouse brain with 1700-nm OCM, which we developed based on a time-domain low-coherence interferometer [12]. In this presentation, we report high-resolution spectral-domain OCM (SD-OCM) at the 1700-nm spectral band for improving the imaging acquisition speed of 1700-nm OCM.
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Omejc, Nina, Manca Peskar, Miloš Kalc, et al. "Examining cortico-muscular connectivity methods on mobile brain imaging data: A comparative study with Parkinson’s Disease patients." In 5th International Mobile Brain/Body Imaging Conference. Science and Research Centre Koper, Slovenia, 2024. https://doi.org/10.35469/978-961-7195-56-9_1.

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To capture the relationship between the cortico-cortical and cortico-peripheral regions, as well as evaluate the brain functioning collectively, connectivity analysis has been progressively used. This work aims to evaluate the usability and temporal resolution of cortico-muscular connectivity methods by analyzing simultaneously recorded 128-channel electroencephalographic (EEG) and 64-channel high-density electromyographic (EMG) data from 40 participants, encompassing both healthy individuals and those with Parkinson’s disease. Participants underwent measurements during resting state (with eyes open) and while engaged in two mobile tasks – an isometric knee extension and a semi-tandem stance. EMG electrodes were placed on Vastus lateralis and Tibialis anterior, respectively. The analysis pipeline involves preprocessing steps such as filtering (0.5 Hz to 80 Hz, with additional line noise removal), manual cleaning, channel interpolation, average re-referencing, and independent component analysis decomposition. Subsequently, the EEG data is projected onto 68 cortical regions defined by the Desikan-Killiany atlas, employing the Standardized Low-Resolution Tomography (sLoreta) method. Analogously, EMG data is decomposed to extract motor unit activity using the Convolution Kernel Compensation method. Following data preparation, connectivity analysis will be conducted, with a focus on comparing standard coherence analysis to more advanced transfer entropy and hidden Markov modeling (using Gaussian observation model) methods, both on channel-level and source-projected data. Additionally, the study will explore variations in the time intervals over which the connectivity methods are calculated. The critical comparison of three distinct connectivity methods on cortico-muscular data will help in advancing further connectivity analyses.
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6

Eto, Kai, Junpei Masuta, Hiroyuki Abe, Izumi Nishidate, and Manabu Sato. "In vivo rat hippocampus imaging using a short multimode fiber probe." In JSAP-OSA Joint Symposia. Optica Publishing Group, 2019. http://dx.doi.org/10.1364/jsap.2019.18a_e215_3.

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Optical coherence tomography (OCT) has become a mainstay in biomedical imaging technology owing to its noninvasive imaging and higher spatial resolution. Various probes have been developed for OCT to extend the range of applications. We have been studying applications of short multimode fibers(SMMFs) as an imaging fiber GREIN lens in a forward-imaging probe, because of its miniaturization, robustness, reliability, and low cost. We have also reported basic characteristics of SMMF, such as MTF (modulation transfer function) and depolarizations, and in vivo rat brain imaging [1].
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Mestriner, Victoria Avezum, Matheus Spilari, Rodrigo Ferreira Faria, Bruno Barros de Padua Andrade, Luis Eduardo Belini, and Elizardo Nogueira Junior. "Intracranial hypertension as initial presentation of multiple myeloma in a young man." In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.434.

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Introduction: Multiple myeloma (MM) commonly appears after the age of 50, corresponding to 1% of all cancers. Symptoms such as renal failure and hypercalcemia are usually the initial manifestations of the disease. Involvement of the central nervous system (CNS) it´s rare and a marker of poor prognosis. We report a young patient opening the MM with an initial manifestation that is rare in the CNS literature. Case report: Male, 38 years old, previously healthy, admitted for holocranial and progressive headache for 1 month and visual blurring and mental confusion started two days before admission. On examination we evidenced papilledema and negative myoclonus in the 4 limbs and neck. Brain computed tomography, arterial and venous angioMRI were normal. Cerebrospinal fluid puncture show increased opening pressure (32 cm H2 O) and biochemical analysis was normal. Laboratory tests showed 24-hour proteinuria in the nephrotic range (3 g), microcytic hypochromic anemia and reduced creatine clearance (48,8 mL/min — Chronic Kidney Disease Epidemiology Collaboration). Contrast brain and orbits magnetic resonance imaging (MRI) presented thickening of the meninges and bone infiltration, suggestive of lymphoproliferative or hematologic disease. MRI of the spine (cervical and thoracic), thorax and abdomen showed signs of diffuse bone infiltration. HMM was confirmed by electrophoresis of proteins with expressive peak of gamma globulin (43%, VR 11,1–18%). Dexamethasone (4 mg 6/6 hour for three days) was administered, with complete resolution of mental confusion and headache. The patient was followed up with hematology to start chemotherapy. Conclusion: We report a rare case of MM that started with predominantly neurological manifestations which responded very well to corticosteroid therapy in low doses after few days. This case illustrates how intracranial hypertension in a young patient requires extensive investigation for possible rarer differential diagnoses when initial tests are normal.
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