Готові списки джерел за темами / Electrical source imaging (ESI)

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Добірка наукової літератури з теми "Electrical source imaging (ESI)"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Electrical source imaging (ESI)"

Thurairajah, Arun. "Role of Electrical Source Imaging in Pediatric Epilepsy and Pre-Surgical Evaluation." Sciential - McMaster Undergraduate Science Journal, no. 6 (April 12, 2021): 10–14. http://dx.doi.org/10.15173/sciential.vi6.2645.

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Children with drug-resistant epilepsy undergo an extensive pre-surgical evaluation to determine the part of the brain thought to be the cause of seizures. The employment of non-invasive diagnostic imaging tools plays an important role in establishing surgical candidacy, preventing the need for invasive procedures. Electrical source imaging (ESI) has been explored as a modern alternative to traditional diagnostic techniques in pre-surgical workup. Through computational analysis of recorded electric potentials and individualized head scans, ESI provides a non-invasive method of obtaining more accurate localizations. However, its use within the clinical setting is limited. The following review looks to examine the literature surrounding ESI and advocates for its inclusion within the pre-surgical workup of children.

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Zorzos, Ioannis, Ioannis Kakkos, Errikos M. Ventouras, and George K. Matsopoulos. "Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges." Signals 2, no. 3 (June 24, 2021): 378–91. http://dx.doi.org/10.3390/signals2030024.

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Brain source localization has been consistently implemented over the recent years to elucidate complex brain operations, pairing the high temporal resolution of the EEG with the high spatial estimation of the estimated sources. This review paper aims to present the basic principles of Electrical source imaging (ESI) in the context of the recent progress for solving the forward and the inverse problems, and highlight the advantages and limitations of the different approaches. As such, a synthesis of the current state-of-the-art methodological aspects is provided, offering a complete overview of the present advances with regard to the ESI solutions. Moreover, the new dimensions for the analysis of the brain processes are indicated in terms of clinical and cognitive ESI applications, while the prevailing challenges and limitations are thoroughly discussed, providing insights for future approaches that could help to alleviate methodological and technical shortcomings.

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Khosropanah, Pegah, Eric Tatt-Wei Ho, Kheng-Seang Lim, Si-Lei Fong, Minh-An Thuy Le, and Vairavan Narayanan. "EEG Source Imaging (ESI) utility in clinical practice." Biomedical Engineering / Biomedizinische Technik 65, no. 6 (November 18, 2020): 673–82. http://dx.doi.org/10.1515/bmt-2019-0128.

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AbstractEpilepsy surgery is an important treatment modality for medically refractory focal epilepsy. The outcome of surgery usually depends on the localization accuracy of the epileptogenic zone (EZ) during pre-surgical evaluation. Good localization can be achieved with various electrophysiological and neuroimaging approaches. However, each approach has its own merits and limitations. Electroencephalography (EEG) Source Imaging (ESI) is an emerging model-based computational technique to localize cortical sources of electrical activity within the brain volume, three-dimensionally. ESI based pre-surgical evaluation gives an overall clinical yield of 73–91%, depending on choice of head model, inverse solution and EEG electrode density. It is a cost effective, non-invasive method which provides valuable additional information in presurgical evaluation due to its high localizing value specifically in MRI-negative cases, extra or basal temporal lobe epilepsy, multifocal lesions such as tuberous sclerosis or cases with multiple hypotheses. Unfortunately, less than 1% of surgical centers in developing countries use this method as a part of pre-surgical evaluation. This review promotes ESI as a useful clinical tool especially for patients with lesion-negative MRI to determine EZ cost-effectively with high accuracy under the optimized conditions.

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Mattioli, Pietro, Evy Cleeren, Levente Hadady, Alberto Cossu, Thomas Cloppenborg, Dario Arnaldi, and Sándor Beniczky. "Electric Source Imaging in Presurgical Evaluation of Epilepsy: An Inter-Analyser Agreement Study." Diagnostics 12, no. 10 (September 24, 2022): 2303. http://dx.doi.org/10.3390/diagnostics12102303.

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Electric source imaging (ESI) estimates the cortical generator of the electroencephalography (EEG) signals recorded with scalp electrodes. ESI has gained increasing interest for the presurgical evaluation of patients with drug-resistant focal epilepsy. In spite of a standardised analysis pipeline, several aspects tailored to the individual patient involve subjective decisions of the expert performing the analysis, such as the selection of the analysed signals (interictal epileptiform discharges and seizures, identification of the onset epoch and time-point of the analysis). Our goal was to investigate the inter-analyser agreement of ESI in presurgical evaluations of epilepsy, using the same software and analysis pipeline. Six experts, of whom five had no previous experience in ESI, independently performed interictal and ictal ESI of 25 consecutive patients (17 temporal, 8 extratemporal) who underwent presurgical evaluation. The overall agreement among experts for the ESI methods was substantial (AC1 = 0.65; 95% CI: 0.59–0.71), and there was no significant difference between the methods. Our results suggest that using a standardised analysis pipeline, newly trained experts reach similar ESI solutions, calling for more standardisation in this emerging clinical application in neuroimaging.

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Peters, Jurriaan M., Catherine J. Chu, Merel Boom, Joseph Madsen, Scellig S. Stone, Hakim Ouaalam, Sanjay Prabhu, Mustafa Sahin, Simon Warfield, and Damon E. Hyde. "F162. Lesion-Constrained Electrical Source Imaging (LC-ESI) in epilepsy surgery for tuberous sclerosis complex: A pilot study." Clinical Neurophysiology 129 (May 2018): e128-e129. http://dx.doi.org/10.1016/j.clinph.2018.04.325.

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Maziero, Danilo, Marcio Sturzbecher, Tonicarlo Rodrigues Velasco, Carlo Rondinoni, Agustin Lage Castellanos, David William Carmichael, and Carlos Ernesto Garrido Salmon. "A Comparison of Independent Component Analysis (ICA) of fMRI and Electrical Source Imaging (ESI) in Focal Epilepsy Reveals Misclassification Using a Classifier." Brain Topography 28, no. 6 (May 22, 2015): 813–31. http://dx.doi.org/10.1007/s10548-015-0436-4.

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Quintiliani, Michela, Federico Bianchi, Filomena Fuggetta, Daniela Pia Rosaria Chieffo, Antonia Ramaglia, Domenica Immacolata Battaglia, and Gianpiero Tamburrini. "Role of high-density EEG (hdEEG) in pre-surgical epilepsy evaluation in children: case report and review of the literature." Child's Nervous System 37, no. 5 (February 18, 2021): 1429–37. http://dx.doi.org/10.1007/s00381-021-05069-z.

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Abstract Introduction Electrical source imaging (ESI) and especially hdEEG represent a noninvasive, low cost and accurate method of localizing epileptic zone (EZ). Such capability can greatly increase seizure freedom rate in surgically treated drug resistant epilepsy cases. Furthermore, ESI might be important in intracranial record planning. Case report We report the case of a 15 years old boy suffering from drug resistant epilepsy with a previous history of DNET removal. The patient suffered from heterogeneous seizure semiology characterized by anesthesia and loss of tone in the left arm, twisting of the jaw to the left and dysarthria accompanied by daze; lightheadedness sometimes associated with headache and dizziness and at a relatively short time distance negative myoclonus involving the left hand. Clinical evidence poorly match scalp and video EEG monitoring thus requiring hdEEG recording followed by SEEG to define surgical target. Surgery was also guided by ECoG and obtained seizure freedom. Discussion ESI offers an excellent estimate of EZ, being hdEEG and intracranial recordings especially important in defining it. We analyzed our results together with the data from the literature showing how in children hdEEG might be even more crucial than in adults due to the heterogeneity in seizures phenomenology. The complexity of each case and the technical difficulties in dealing with children, stress even more the importance of a noninvasive tool for diagnosis. In fact, hdEEG not only guided in the presented case SEEG planning but may also in the future offer the possibility to replace it.

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Rikir, Estelle, Laurent Koessler, Martine Gavaret, Fabrice Bartolomei, Sophie Colnat-Coulbois, Jean-Pierre Vignal, Herve Vespignani, Georgia Ramantani, and Louis G. Maillard. "Electrical source imaging in cortical malformation-related epilepsy: A prospective EEG-SEEG concordance study." Epilepsia 55, no. 6 (April 4, 2014): 918–32. http://dx.doi.org/10.1111/epi.12591.

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Schwarz, Gabriele, Gertraud Puttinger, and Tim J. von Oertzen. "Prächirurgische Epilepsiediagnostik – öfter ein Thema als viele denken." psychopraxis. neuropraxis 22, no. 6 (November 12, 2019): 260–67. http://dx.doi.org/10.1007/s00739-019-00592-w.

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Zusammenfassung Epilepsiechirurgie ist eine hochwirksame Therapie mit kurativem Anspruch. Dies belegen inzwischen 3 Studien mit Klasse-1-Evidenz. Bei pharmakoresistenter fokaler Epilepsie mit einer Krankheitsdauer von fast 20 Jahren, mit kürzerer Krankheitsdauer von durchschnittlich 5 Jahren sowie bei Kindern wurde jeweils unabhängig voneinander gezeigt, dass Epilepsiechirurgie dem „best medical treatment“ hochsignifikant überlegen ist. Mithilfe multimodaler Untersuchungsmethoden (z. B. Langzeit-Video-EEG, hochauflösendes cMRT nach Epilepsieprotokoll, FDG-PET, neuropsychologische Testung, fMRT, ev. iktale SPECT-Untersuchung und Verrechnung mittels SISCOM, Postprocessing des cMRTs, „electric source imaging“ [ESI], Magnetenzephalographie [MEG], invasive Abklärung mittels Stereo-EEG-Elektroden oder subduralen Elektroden und WADA-Test) ist es in der prächirurgischen Epilepsiediagnostik nun möglich, Patienten einen epilepsiechirurgischen Eingriff anzubieten, die früher als schlechte oder aussichtslose Kandidaten für eine Epilepsiechirurgie eingeschätzt wurden.

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Patel, Sutchin, Nicholas Rotker, and Anthony Caldamone. "How a Rock Band, a Recording Company, and a Nobel Laureate Developed Computed Tomography." International Journal of Urologic History 2, no. 2 (January 5, 2023): 44–51. http://dx.doi.org/10.53101/ijuh.2.2.01052303.

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Objectives Computed Tomography (CT) is an indispensable element of medical care used throughout the world, and first developed for clinical use by Hounsfield in 1971. The largest source of monetary support for Hounsfield’s work was from his employer, Electrical Musical Industries, Ltd. (EMI) and, in turn, the most lucrative source of income for EMI through the 1960’s was their recording contract with the English quartet, the Beatles. The purported link between the Beatles’ productive oeuvre with EMI and Hounsfield’s discovery of CT has not been well established. We endeavored to elucidate the technological and creative talents that linked Hounsfield with EMI and the Beatles and which ultimately led to one of the greatest medical innovations of the 20th century. Methods We used GoogleScholar, PubMed, and primary sources to research the life of Godfrey Hounsfield, the history of Electric and Musical Industries, Ltd (EMI), and The Beatles in reference to the development of CT. We used the EMI Archives Trust (London), and the archives of the Institute of Electrical and Electronics Engineers (IEEE) UK and Ireland (London). We obtained unpublished photographs courtesy of private collections. Results EMI translated its electronic prowess during WWII into the recorded music business, purchasing Capitol Records in 1955. EMI would sign The Beatles in 1963 and EMI profits rose 80% that first year. Sir Godfrey Hounsfield began a successful scientific career with EMI in 1951. With financial support from EMI’s research division, Hounsfield began developing what would become the first CT-scanner in 1967. By directing x-ray beams through the body at 1 degree angles, with a detector rotating in tandem on the other side, he could measure the x-ray attenuation of different tissues inside the body. These values were then analyzed via a mathematical algorithm to produce a 2-dimensional image of the slice of the body. Hounsfield worked with James Ambrose, a radiologist, to conduct the first clinical CT-scan at Atkinson Morley Hospital in 1971 in a patient with a brain tumor. EMI entered the medical equipment business thereafter and heavily marketed the CT-scanner using the financial resources EMI derived from its record sales. By 1976, EMI could not produce enough CT-scanners to fill demand and ultimately would cede the medical imaging business to competitors, and devote itself to the music industry. In 1979, Hounsfield, and Allen Cormack, a South African physicist who independently theorized the basis of CT imaging, would win the Nobel Prize. Conclusions ‘Let it be’ known that it was only ‘yesterday’ when a recording company, a rock band, and a radar scientist revolutionized medical imaging with the development of computed tomography.

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Більше джерел

Дисертації з теми "Electrical source imaging (ESI)"

Ištok, Martin. "Analýza simultánně měřených EEG/fMRI dat s využitím zpracování EEG signálu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221335.

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The main objective of this diploma thesis is to describe simultaneous electroencephalography-correlated functional magnetic resonance imaging analysis using EEG data processing. It includes basic characteristics of EEG and fMRI recording and analysis and their combination as simultaneous EEG/fMRI analysis and deals with obstructions during its processing. The thesis includes a design of an experiment used for recording and analysis of simultaneous EEG/fMRI data using EEG source reconstruction for regressor construction. Thesis incorporates a software solution used for extraction of signal describing a source activity interpolated by EEG source reconstruction. The signal is then processed and used to construct a basic regressor. The thesis also deals with the software solution being used for a study focused on intracranial epileptic discharges localization using a simultaneous EEG/fMRI analysis in which it reveals source activity during ongoing epileptic spike and summarizes the results.

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Tilg, Bernhard. "Noninvasive functional cardiac electrical source imaging /." Aachen : Shaker, 1998. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015159658&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Roman, Alex. "Open-Source Test-Bench Design for Applications in AutonomousUltrasound Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1553879717367924.

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Enwia, George P. "OPEN-SOURCE MINIATURIZED TEST-BENCH DESIGN FOR APPLICATIONS IN WEARABLE AUTONOMOUS ULTRASOUND IMAGING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1575566958796729.

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Parsons, Aaron D. "Coherent diffraction imaging using a high harmonic source at 40 eV." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/370609/.

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This thesis presents the current status of coherent diffractive imaging and ptychography using the high harmonic at the University of Southampton. The full system used to generate the 40 eV radiation and collect the far-field speckle patterns is outlined and critical criteria discussed. The algorithms used to re-phase the data are outlined and some simple 1-dimensional examples are given. The question of how to appropriately state the resolution of a coherent diffraction system is addressed and the concluding results are applied to the work in the experimental chapters, of which this thesis contains two. The first, is a published result which investigates the treatment of partial temporal coherence through the coherent diffraction process. Partial coherence for a high harmonic source is slightly more complex to treat than standard broad-bandwidth sources since the spectrum is modulated by the narrow-bandwidth harmonic comb underneath a broad-bandwidth envelope. An experimental investigation is presented by illuminating the same amplitude mask under broad-band and narrow band conditions using the same imaging systems. The results are discussed and conclude that a much greater than expected (20%) relative bandwidth can used for such an experiment and still reproduce a reliable and fairly stable reconstruction. This construction is not a solution to the phase problem however, and hence only provides an improved support constraint for potential further processing. The second experimental chapter presents novel and currently unpublished work using the high harmonic source to obtain iterative ptychograms of complex-valued extended samples. This represents the first documented result of ptychography using a lab-based source of short wavelength radiation. Defects in the Molybdenum pinhole used to define the illumination function are investigated and provide a thickness for the defect area of 6 nm � 1 nm with a pixel size of 90 nm. The sample under investigation for this experiment was a substrate with fixed cultured hippocampal neurons. An investigation of one of the neurite processes of this sample is made and identification of the neurite as an axon is deduced via analysis of the samples dielectric loss tangent.

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Zimnicki, James John. "Spatial Heterodyne Imaging Using a Broadband Source." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1519143422981263.

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Yiu, Patrick (Patrick Wai-Kit). "High speed swept source optical coherence tomography handheld instrument at 1310nm for point-of-care imaging." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115735.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Optical coherence tomography (OCT) is a novel biomedical imaging technique that functions as a type of "optical biopsy" by using low coherence interferometry to non-invasively generate high resolution cross-sectional images of tissue in real time. OCT has become a standard diagnostic tool in ophthalmology and investigators have demonstrated OCT in a variety of biomedical applications including cardiology, gastroenterology, dermatology, and urology. Recent research advances in swept source lasers have enabled swept source OCT (SS-OCT) to achieve imaging speeds 5-50x faster than commercially available spectral domain OCT (SD-OCT) systems. This thesis describes the design of a handheld SS-OCT instrument for portable-real-time imaging in situ at the point of care. Traditional OCT devices require bulky table-mounted systems, but the handheld device has the potential to be used as an advanced point-of-care diagnostic instrument in primary care settings or intraoperatively. The combination of the wide scanning angle in the handheld and the high imaging speed of SS-OCT could allow for screening of pathology with a single volumetric data set spanning the areas of interest on the patient. The compact, easy-to-use form factor could enable the adoption of SS-OCT in settings like primary care clinics or the surgical theater where space is limited. Emergent applications can include intraoperative assessment of kidney transplant viability, as many donor kidneys suffer ischemic insult while awaiting transplant and there is a critical clinical need for a reliable, real-time assay to evaluate donor kidney viability and predict post-transplant outcome.
by Patrick Yiu.
S.M.

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Ahi, Sercan Taha. "Solving The Forward Problem Of Electrical Source Imaging By Applying The Reciprocal Approach And The Finite Difference Method." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608717/index.pdf.

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One of the goals of Electroencephalography (EEG) is to correctly localize brain activities by the help of voltage measurements taken on scalp. However, due to computational difficulties of the problem and technological limitations, the accuracy level of the activity localization is not perfect and should be improved. To increase accuracy level of the solution, realistic, i.e. patient dependent, head models should be created. Such head models are created via assigning realistic conductivity values of head tissues onto realistic tissue positions. This study initially focuses on obtaining patient dependent spatial information from T1-weighted Magnetic Resonance (MR) head images. Existing segmentation algorithms are modified according to our needs for classifying eye tissues, white matter, gray matter, cerebrospinal fluid, skull and scalp from volumetric MR head images. Determination of patient dependent conductivity values, on the other hand, is not considered as a part of this study, and isotropic conductivity values anticipated in literature are assigned to each segmented MR-voxel accordingly. Upon completion of the tissue classification, forward problem of EEG is solved using the Finite Difference (FD) method employing a realistic head model. Utilization of the FD method aims to lower computational complexity and to simplify the process of mesh creation for brain, which has a very complex boundary. Accuracy of the employed numerical method is investigated both on Electrical Impedance Tomography (EIT) and EEG forward problems, for which analytical solutions are available. The purpose of EIT forward problem integration into this study is to evaluate reciprocal solution of the EEG forward problem.

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Ataseven, Yoldas. "Parallel Implementation Of The Boundary Element Method For Electromagnetic Source Imaging Of The Human Brain." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606548/index.pdf.

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Human brain functions are based on the electrochemical activity and interaction of the neurons constituting the brain. Some brain diseases are characterized by abnormalities of this activity. Detection of the location and orientation of this electrical activity is called electro-magnetic source imaging (EMSI) and is of signicant importance since it promises to serve as a powerful tool for neuroscience. Boundary Element Method (BEM) is a method applicable for EMSI on realistic head geometries that generates large systems of linear equations with dense matrices. Generation and solution of these matrix equations are time and memory consuming due to the size of the matrices and high computational complexity of direct methods. This study presents a relatively cheap and eective solution the this problem and reduces the processing times to clinically acceptable values using parallel cluster of personal computers on a local area network. For this purpose, a cluster of 8 workstations is used. A parallel BEM solver is implemented that distributes the model eciently to the processors. The parallel solver for BEM is developed using the PETSc library. The performance of the iv solver is evaluated in terms of CPU and memory usage for dierent number of processors. For a 15011 node mesh, a speed-up eciency of 97.5% is observed when computing transfer matrices. Individual solutions can be obtained in 520 ms on 8 processors with 94.2% parallellization eciency. It was observed that workstation clusters is a cost eective tool for solving complex BEM models in clinically acceptable time. Eect of parallelization on inverse problem is also demonstrated by a genetic algorithm and very similar speed-up is obtained.

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Maziero, Danilo. "Localizing and studying epileptogenic sources in patients with focal epilepsy in pre-surgical planning." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-27072016-151155/.

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The simultaneous acquisitions of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have been applied to improve the surgery planning of patients with drug resistant epilepsy. However, the classical approach of analyzing the EEG-fMRI data is inefficient in patients whom only few or non interictal epileptiforms discharges (IEDs) are detected during the simultaneous acquisition. Another issue of EEG-fMRI acquisition is related to its high sensitivity to motion, which decreases the quality of both data, even worse in non-cooperative patients. In this work we propose and discuss the application of two methods of analyzing fMRI data of patients with focal epilepsy: Independent component analysis (ICA) and two-dimensional temporal clustering (2dTCA). Each method was applied in a distinct group of patients and the results were compared to those obtained by the classic EEG-fMRI analysis. We have also proposed a method to improve the quality of EEG data using the head position measurements obtained, by a prospective motion correction (PMC) system, during the EEG-fMRI acquisitions. In the ICA study, we have used the electrical source images for selecting independent components (ICs) in EEG data of 13 patients with different spiking frequency. The method detected epilepsy-related BOLD activity in all the patients. Comparatively, the classic EEG-fMRI could be applied in 11 patients and epilepsy-related BOLD activities were found in seven of them. In the 2dTCA study, we have evaluated 20 patients and found epilepsy-related maps in 14 of them. Thirteen of the twenty patients have IEDs detected during the simultaneous acquisition; the classic EEG-fMRI provided maps related to the epileptogenic region in six of them. Finally we have verified in three health subjects that the proposed method for correcting motion-induced artefacts in the EEG data is effective for high amplitude and velocities (~1cm and 55mm/s). We concluded that the ICA and 2dTCA methods increase the sensitivity of using fMRI for mapping the epileptogenic region, mainly in patients presenting few or no IEDs in the EEG data simultaneously acquired to the fMRI. The PMC use during the fMRI acquisition does not degrade the quality of the EEG data acquired simultaneously. In fact, the motion information can be used for improving its quality by correcting motion-induced artefacts.
As aquisições simultâneas de dados de eletroencefalografia (EEG) e imagens funcionais por ressonância magnética (fMRI) vêm sendo utilizadas com intuito de melhorar o planejamento cirúrgico de pacientes com epilepsia refratária. Entretanto, o processamento classicamente usado nestes dados combinados não é possível em pacientes sem descargas epileptiformes interictais (IEDs) e possui baixa sensibilidade para aqueles em que poucas IEDs são detectadas durante a aquisição simultânea. Além disto, a técnica é sensível ao movimento dos pacientes durante as aquisições, o que reduz a qualidade dos dados, principalmente em pacientes não cooperantes. Neste trabalho é proposto e discutido o uso de dois métodos de processamento, baseados nas técnicas de análise de componentes independentes (ICA) e análise temporal de clusters em duas dimensões (2dtca), para se mapear regiões epileptogênicas. Cada método foi analisado em um conjunto diferente de pacientes e os resultados foram comparados com os obtidos pelo EEG-fMRI clássico. Finalmente, propomos um método que utiliza às medidas de posicionamento da cabeça, obtidas durante a aquisição das fMRI, para aumentar a qualidade dos dados de EEG adquiridos simultaneamente. No estudo usando ICA combinado com imagens de fontes elétricas analisamos os dados de 13 pacientes com diferentes frequências de descargas e observamos que este método encontrou ao menos uma componente independente relacionada à epilepsia em cada paciente. Comparativamente usando o processamento convencional foi possível avaliar 11 dos 13 pacientes, e em apenas sete deles os mapas resultantes foram considerados concordantes com a região epileptogênica (RE). No estudo utilizando 2dTCA avaliamos 20 pacientes e encontramos mapas relacionados com a RE em 14 deles. Neste conjunto de pacientes, 13 apresentaram IEDs durante as aquisições; neles o método clássico de processamento teve resultados concordantes com a RE em seis deles. Finalmente verificamos em três sujeitos saudáveis que o método aqui proposto para corrigir os artefatos induzidos no EEG devido ao movimento é efetivo para altas amplitudes e velocidades (~1cm e 55mm/s). Concluímos que os métodos ICA e 2dTCA aumentam a sensibilidade do uso de fMRI para mapear RE, principalmente em pacientes com baixa ou nenhuma detecção de IEDs durante às aquisições. Também concluímos que o uso da correção prospectiva de movimento em aquisições de fMRI não reduz a qualidade do dado de EEG adquirido simultaneamente e que às informações de movimento mensuradas podem melhorar a qualidade deste dado em situações de repouso e movimento do sujeito durante o experimento.

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Книги з теми "Electrical source imaging (ESI)"

Seeck, Margitta, L. Spinelli, Jean Gotman, and Fernando H. Lopes da Silva. Combination of Brain Functional Imaging Techniques. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0046.

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Several tools are available to map brain electrical activity. Clinical applications focus on epileptic activity, although electric source imaging (ESI) and electroencephalography-coupled functional magnetic resonance imaging (EEG–fMRI) are also used to investigate non-epileptic processes in healthy subjects. While positron-emission tomography (PET) reflects glucose metabolism, strongly linked with synaptic activity, and single-photon-emission computed tomography (SPECT) reflects blood flow, fMRI (BOLD) signals have a hemodynamic component that is a surrogate signal of neuronal (synaptic) activity. The exact interpretation of BOLD signals is not completely understood; even in unifocal epilepsy, more than one region of positive or negative BOLD is often observed. Co-registration of medical images is essential to answer clinical questions, particularly for presurgical epilepsy evaluations. Multimodal imaging can yield information about epileptic foci and underlying networks. Co-registering MRI, PET, SPECT, fMRI, and ESI (or magnetic source imaging) provides information to estimate the epileptogenic zone and can help optimize surgical results.

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Частини книг з теми "Electrical source imaging (ESI)"

Wang, Yan-Hui, Jian-Zhou Mao, and Zhi-Hong Xiu. "Researches on the Laser-Induced Sound as the Sound Source of Imaging Sonar." In Electrical, Information Engineering and Mechatronics 2011, 1297–303. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_153.

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Pascual-Marqui, Roberto D., Rolando Biscay Lirio, and Pedro A. Valdés-Sosa. "The Physical Basis of Electrophysiological Brain Imaging: Exploratory Techniques for Source Localization and Waveshape Analysis of Functional Components of Electrical Brain Activity." In Machinery of the Mind, 435–59. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4757-1083-0_22.

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Steffel, Jan. "Electromagnetic interference in pacemaker patients." In ESC CardioMed, edited by Giuseppe Boriani, 2005–11. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0466_update_001.

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In spite of the development of specific shielding of electronic devices as well as the current-day preference for bipolar sensing, electromagnetic interference (EMI) may still occur with certain pacemakers in certain settings, which in turn may lead to false inhibition of ventricular stimulation with potentially fatal consequences. The most important sources of clinically relevant EMI include medical diagnostics and therapy (e.g. magnetic resonance imaging, radiofrequency ablation, cardioversion/defibrillation, and electrocautery), the working environment (including high-power lines, combustion/degaussing/welding equipment, and others), as well as sources from daily life (such as wireless mobile phones, metal detectors, household appliances such as induction furnaces, electronic article surveillance devices, electric cars, and others). To what extent, and whether or not at all, any given source of interference leads to EMI depends on several factors including the duration of interference, the field strength, and the frequency spectrum of the source. In addition, lead properties and device programming are important determinants. Awareness, recognition, and avoidance of EMI sources are of paramount importance, particularly in high-risk pacemaker-dependent individuals. The importance of proper education of patients as well as healthcare providers cannot be overemphasized.

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Duru, Adil Deniz, Ali Bayram, Tamer Demiralp, and Ahmet Ademoglu. "Source Localization of Subtopographic Brain Maps for Event Related Potentials (ERP)." In Encyclopedia of Healthcare Information Systems, 1247–52. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch156.

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Event-related potentials (ERP) are transient brain responses to cognitive stimuli, and they consist of several stationary events whose temporal frequency content can be characterized in terms of oscillations or rhythms. Precise localization of electrical events in the brain, based on the ERP data recorded from the scalp, has been one of the main challenges of functional brain imaging. Several currentDensity estimation techniques for identifying the electrical sources generating the brain potentials are developed for the so-called neuroelectromagnetic inverse problem in the last three decades (Baillet, Mosher, & Leahy, 2001; Koles, 1998; Michela, Murraya, Lantza, Gonzaleza, Spinellib, & Grave de Peraltaa, 2004; Scherg & von Cramon, 1986).

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Barbosa, Valter Augusto de Freitas, Wellington Pinheiro dos Santos, Ricardo Emmanuel de Souza, Reiga Ramalho Ribeiro, Allan Rivalles Souza Feitosa, Victor Luiz Bezerra Araújo da Silva, David Edson Ribeiro, et al. "Image Reconstruction of Electrical Impedance Tomography Using Fish School Search and Differential Evolution." In Critical Developments and Applications of Swarm Intelligence, 301–38. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5134-8.ch012.

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Electrical impedance tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary and bioinspired computation have become a source of methods for solving inverse problems. In this chapter, the authors investigate the performance of fish school search (FSS) and differential evolution (DE) using non-blind search (NBS) considering meshes of 415, 3190, and 9990 finite elements. The methods were evaluated using numerical phantoms consisting of electrical conductivity images with objects in the center, between the center and the edge, and on the edge of a circular section. Twenty simulations were performed for each configuration. Results showed that both FSS and DE are able to perform EIT image reconstruction with large meshes and converge faster by using non-blind search.

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Barbosa, Valter A. F., Reiga R. Ribeiro, Allan R. S. Feitosa, Victor L. B. A. Silva, Arthur D. D. Rocha, Rafaela C. Freitas, Ricardo E. Souza, and Wellington P. Santos. "Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm." In Biotechnology, 2021–38. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8903-7.ch082.

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Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search (FSS) is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS). The method was evaluated using numerical phantoms consisting of electrical conductivity images with subjects in the center, between the center and the edge and on the edge of a circular section, with meshes of 415 finite elements. The authors performed 20 simulations for each configuration. Results showed that both FSS and FSS-NBS were able to converge faster than genetic algorithms.

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Roberts, Timothy P. L., James W. Wheless, and Andrew C. Papanicolaou. "Postscript." In Fifty Years of Magnetoencephalography, 403–4. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190935689.003.0026.

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As is evident from the scientific chapters of this book, the technology of magnetoencephalography offers a combination of spatial, temporal, and spectral resolution, unique among neuroimaging technologies. While functional magnetic resonance imaging (fMRI) accommodates spatial resolution, it lacks the millisecond resolution (because of the reliance on a slow hemodynamic response) to identify subtle latency shifts, or the specificity to distinguish theta- versus alpha- versus gamma-band oscillatory activity. While electroencephalography (EEG) offers the needed temporal resolution, it fails to adequately localize brain sources, owing to the physics of inverse modeling and the dependence of scalp electric potentials on tissue electrical conductivity. Thus, although fMRI may see “activity,” it cannot characterize important attributes of its nature. Conversely, EEG may detect “anomalies” but not be able to attribute them to a particular spatial source....

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Gaetz, William, Christos Papadelis, and Tony W. Wilson. "Clinical Motor Mapping with Magnetoencephalography." In Fifty Years of Magnetoencephalography, 211–24. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190935689.003.0015.

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This chapter examines clinical motor mapping with magnetoencephalography (MEG). Motor cortex functional mapping procedures were first conducted by neurosurgeons who famously stimulated their patient’s exposed brain during surgery and then systematically documented the responses observed from the activated muscles of the body. Numerous neuroimaging-based functional mapping techniques followed, such as functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), high-density electroencephalography (HD-EEG), and MEG, which are currently used to map the motor areas in relation to isolated volitional movements. The use of MEG for presurgical functional mapping has become a standard component of clinical MEG practice. Indeed, knowledge regarding the location of eloquent MEG motor representations is valuable for presurgical planning and can improve outcomes by limiting the production of postsurgical deficits of motor function. Meanwhile, source localization challenges using equivalent current dipole (ECD) models have given way to newer methods, such as beamformer spatial filters, which have been validated clinically using electrical stimulation. It should also be noted that it is becoming increasingly evident that motor cortical oscillations are changing consistently over the life span, and thus consideration of the patient’s age will likely aid the interpretation of results.

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Тези доповідей конференцій з теми "Electrical source imaging (ESI)"

Zarafshani, Ali, Thomas Bach, Chris Chatwin, Liangzhong Xiang, and Bin Zheng. "Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects." In SPIE Medical Imaging, edited by Andrzej Krol and Barjor Gimi. SPIE, 2017. http://dx.doi.org/10.1117/12.2254629.

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Tilg, Bernhard, Robert Modre, Gerald Fischer, Friedrich Hanser, Bernd Messnarz, Michael F. H. Schocke, Christian Kremser, and Franz Roithinger. "Noninvasive functional cardiac electrical source imaging: combining MRI and ECG mapping for imaging electrical function." In Medical Imaging 2002, edited by Anne V. Clough and Chin-Tu Chen. SPIE, 2002. http://dx.doi.org/10.1117/12.463622.

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Wang, Zhaohui, Pier Ingram, Ragnar Olafsson, Qian Li, and Russell S. Witte. "Detection of multiple electrical sources in tissue using ultrasound current source density imaging." In SPIE Medical Imaging, edited by Jan D'hooge and Stephen A. McAleavey. SPIE, 2010. http://dx.doi.org/10.1117/12.844657.

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S'heeren, Griet. "Eternal triangle: the interaction of light source, electrical control gear, and optics." In Photonics West '98 Electronic Imaging, edited by Ming H. Wu. SPIE, 1998. http://dx.doi.org/10.1117/12.305535.

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Koudelka, Vlastimil, Stanislav Jiricek, Vaclava Piorecka, Cestmir Vejmola, Tomas Palenicek, Zbynek Raida, Jaroslav Lacik, David Kuratko, Daniel Wojcik, and Martin Brunovsky. "Electrical Source Imaging in Rats: Cortical EEG Performance and Limitations." In 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi). IEEE, 2018. http://dx.doi.org/10.1109/cemi.2018.8610587.

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Person, C., L. Koessler, V. Louis-Dorr, D. Wolf, L. Maillard, and P. Y. Marie. "Analysis of the relationship between interictal electrical source imaging and PET hypometabolism." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5627512.

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Miller, Carlyle, Partha Routh, Paul Donaldson, and Douglas Oldenburg. "Electrical conductivity imaging using controlled source electromagnetics for subsurface fluid flow characterization." In SEG Technical Program Expanded Abstracts 2004. Society of Exploration Geophysicists, 2004. http://dx.doi.org/10.1190/1.1851088.

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Qi*, Zhipeng, He Li, Xiu Li, and Yingying Zhang. "Imaging subsurface using multi-source semi-airborne TEM data." In GEM 2019 Xi'an: International Workshop and Gravity, Electrical & Magnetic Methods and their Applications, Chenghu, China, 19-22 April 2015. Society of Exploration Geophysicists and Chinese Geophysical Society, 2019. http://dx.doi.org/10.1190/gem2019-091.1.

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Ramirez, R. R., B. H. Kopell, C. R. Butson, W. Gaggl, D. R. Friedland, and S. Baillet. "Neuromagnetic source imaging of abnormal spontaneous activity in tinnitus patient modulated by electrical cortical stimulation." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333457.

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Tilg, Bernhard, Bernhard Pfeifer, Robert Modre, Michael Seger, Christoph Hintermuller, Gerald Fischer, and Friedrich Hanser. "Noninvasive Imaging of Cardiac Electrical Function: Achievements, Pitfalls and Limitations." In 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging. IEEE, 2007. http://dx.doi.org/10.1109/nfsi-icfbi.2007.4387673.

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