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المؤلفون: Abbas Sohrabpour, Anto Bagic, Shuai Ye, Bin He, Xiyuan Jiang
المصدر: NeuroImage : Clinical
NeuroImage: Clinical, Vol 33, Iss, Pp 102903-(2022)مصطلحات موضوعية: Drug Resistant Epilepsy, Source extent imaging, Computer science, Cognitive Neuroscience, Computer applications to medicine. Medical informatics, R858-859.7, Electrophysiological source imaging (ESI), Electroencephalography, Eeg recording, Epilepsy, medicine, Magnetoencephalography (MEG), Humans, Radiology, Nuclear Medicine and imaging, Ictal, Source imaging, RC346-429, medicine.diagnostic_test, business.industry, fungi, Brain, Magnetoencephalography, Regular Article, Pattern recognition, medicine.disease, Magnetic Resonance Imaging, Neurology, Presurgical planning, Neurology (clinical), Neurology. Diseases of the nervous system, Epilepsies, Partial, Artificial intelligence, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f98dd45e017c994db3ae4b3acaceb5
https://doi.org/10.1101/2021.11.09.467915 -
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المؤلفون: I. E. J. de Vries, Vadim V. Nikulin, Guido Nolte, Marisol Gómez, Arno Villringer, Klaus-Robert Müller, Carmen Vidaurre, Tjeerd W. Boonstra
المساهمون: Cognitive Psychology, Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas, Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila, RS: FPN NPPP I, Section Neuropsychology
المصدر: NeuroImage, 201:116009, 1-11. Academic Press Inc.
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
Neuroimage, 201:116009. Elsevier Science
Vidaurre, C, Nolte, G, de Vries, I E J, Gómez, M, Boonstra, T W, Müller, K R, Villringer, A & Nikulin, V V 2019, ' Canonical maximization of coherence : A novel tool for investigation of neuronal interactions between two datasets ', NeuroImage, vol. 201, 116009, pp. 1-11 . https://doi.org/10.1016/j.neuroimage.2019.116009مصطلحات موضوعية: MECHANISM, Local field potentials (LFP), Computer science, Datasets as Topic, Local field potential, Electroencephalography, Field (computer science), 0302 clinical medicine, Synchronization (computer science), Magnetoencephalography (MEG), EEG, BRAIN, Neurons, High density electromyography (HDsEMG), medicine.diagnostic_test, 05 social sciences, Magnetoencephalography, Coherence (statistics), Neurology, Frequency domain, SYNCHRONIZATION, Multivariate methods, Algorithms, Coherence optimization, Coherence (physics), Cognitive Neuroscience, Models, Neurological, 050105 experimental psychology, 03 medical and health sciences, Multimodal methods, medicine, OSCILLATIONS, Animals, Humans, 0501 psychology and cognitive sciences, FIELD, Electroencephalography (EEG), Muscle, Skeletal, CORTICOMUSCULAR COHERENCE, Electromyography, Localfield potentials (LFP), business.industry, MONKEY MOTOR CORTEX, Pattern recognition, Maximization, Multivariate Analysis, Artificial intelligence, Electromyography (EMG), business, Focus (optics), SENSORIMOTOR CORTEX, 030217 neurology & neurosurgery, CORTICO-MUSCULAR COHERENCE, Cortico-muscular coherence (CMC)
وصف الملف: application/pdf
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المؤلفون: Ya Ning Wu, Chun Hsien Hsu
المصدر: Sensors
Volume 21
Issue 18
Sensors, Vol 21, Iss 6235, p 6235 (2021)
Sensors (Basel, Switzerland)مصطلحات موضوعية: Computer science, TP1-1185, Biochemistry, Facial recognition system, Article, Hilbert–Huang transform, Analytical Chemistry, Encoding (memory), medicine, Decomposition (computer science), magnetoencephalography (MEG), Electrical and Electronic Engineering, Set (psychology), Instrumentation, medicine.diagnostic_test, business.industry, Chemical technology, Magnetoencephalography, empirical mode decomposition (EMD), Electroencephalography, Signal Processing, Computer-Assisted, Pattern recognition, Atomic and Molecular Physics, and Optics, neural decoding, face perception, Artificial intelligence, business, Facial Recognition, Algorithms, Decoding methods, Neural decoding
وصف الملف: application/pdf
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المؤلفون: Tarek Lajnef, Dmitrii Altukhov, David Meunier, Annalisa Pascarella, Mainak Jas, Golnoush Alamian, Etienne Combrisson, Jordan Alves, Vanessa Hadid, Arthur Dehgan, Anne-Lise Saive, Fanny Barlaam, Daphné Bertrand-Dubois, Karim Jerbi
المساهمون: Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Istituto per le Applicazioni del Calcolo 'Mauro Picone' (IAC), Consiglio Nazionale delle Ricerche [Roma] (CNR), Centre for Cognition and Decision Making [HSE, Moscow], Institut of Cognitive Neuroscience [HSE, Moscow] (ICN), Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] (HSE)-Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] (HSE), Signal, Statistique et Apprentissage (S2A), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Images, Données, Signal (IDS), Télécom ParisTech, Institut Polytechnique de Paris (IP Paris), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Montréal (UdeM), Université du Québec à Montréal = University of Québec in Montréal (UQAM), University of Montreal, Aarhus University [Aarhus], Canada Research Chairs program and aDiscovery Grant (RGPIN-2015-04854) from the Natural Sciences andEngineering Research Council of Canada, a New Investigators Awardfrom the Fonds de Recherche du Quebec - Nature et Technologies (2018-NC-206005) and an IVADO-Apogee fundamental research project grant.This research is also supported in part by the FRQNT Strategic ClustersProgram (2020-RS4-265502 - Centre UNIQUE - Union Neurosciences&Artificial Intelligence - Quebec), Meunier, David, Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), National Research University Higher School of Economics [Moscow] (HSE)-National Research University Higher School of Economics [Moscow] (HSE), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR)
المصدر: NeuroImage, Vol 219, Iss, Pp 117020-(2020)
NeuroImage
NeuroImage, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage, Elsevier, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage (Orlando Fla., Print) 219 (2020). doi:10.1016/j.neuroimage.2020.117020
info:cnr-pdr/source/autori:Meunier, David; Pascarella, Annalisa; Altukhov, Dmitrii; Jas, Mainak; Combrisson, Etienne; Lajnef, Tarek; Bertrand-Dubois, Daphne; Hadid, Vanessa; Alamian, Golnoush; Alves, Jordan; Barlaam, Fanny; Saive, Anne-Lise; Dehgan, Arthur; Jerbi, Karim/titolo:NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines/doi:10.1016%2Fj.neuroimage.2020.117020/rivista:NeuroImage (Orlando Fla., Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:219
Meunier, D, Pascarella, A, Altukhov, D, Jas, M, Combrisson, E, Lajnef, T, Bertrand-Dubois, D, Hadid, V, Alamian, G, Alves, J, Barlaam, F, Saive, A L, Dehgan, A & Jerbi, K 2020, ' NeuroPycon : An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines ', NeuroImage, vol. 219, 117020 . https://doi.org/10.1016/j.neuroimage.2020.117020مصطلحات موضوعية: Computer science, Source reconstruction, Functional connectivity, 0302 clinical medicine, Software, Magnetoencephalography (MEG), Multi-modality, MATLAB, computer.programming_language, 0303 health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 05 social sciences, Brain, Magnetoencephalography, Electroencephalography, Magnetic Resonance Imaging, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Toolbox, Electrophysiology, Neurology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Algorithms, MNE, MRI, Brain networks, Cognitive Neuroscience, Neuroimaging, Brain imaging, 050105 experimental psychology, Nipype, lcsh:RC321-571, 03 medical and health sciences, Humans, 0501 psychology and cognitive sciences, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Electroencephalography (EEG), Implementation, MNE Source reconstruction, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, 030304 developmental biology, Pipelines, business.industry, Reproducibility of Results, Reproducible science, Modular design, Python (programming language), Graph theory, Computer architecture, Nerve Net, business, computer, 030217 neurology & neurosurgery, Electrophysiology MRI, Python
وصف الملف: application/pdf
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المؤلفون: Naoki Furutani, Yuta Nariya, Tetsuya Takahashi, Sarah Noto, Albert C. Yang, Tetsu Hirosawa, Masafumi Kameya, Yoshio Minabe, Mitsuru Kikuchi
المصدر: Frontiers in Psychiatry
Frontiers in Psychiatry, Vol 11 (2020)مصطلحات موضوعية: lcsh:RC435-571, Computer science, Alzheimer’s disease (AD), Feature selection, Scale (descriptive set theory), Machine learning, computer.software_genre, Hilbert–Huang transform, phase complexity, Correlation, 03 medical and health sciences, 0302 clinical medicine, multiscale entropy (MSE), lcsh:Psychiatry, Feature (machine learning), medicine, magnetoencephalography (MEG), ensemble empirical mode decomposition (EEMD), Original Research, Psychiatry, medicine.diagnostic_test, business.industry, sparse autoencoder (SAE), amplitude complexity, Magnetoencephalography, Hilbert spectral analysis, 030227 psychiatry, Support vector machine, Psychiatry and Mental health, Artificial intelligence, alpha oscillation, business, computer, 030217 neurology & neurosurgery
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae25fa0d0eec389a8829244c3b9d3c60
https://doi.org/10.3389/fpsyt.2020.531801 -
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المؤلفون: Naoki Furutani, Yuta Nariya, Tetsuya Takahashi, Haruka Ito, Yuko Yoshimura, Hirotoshi Hiraishi, Chiaki Hasegawa, Takashi Ikeda, Mitsuru Kikuchi
المصدر: Frontiers in Psychiatry, Vol 11 (2020)
Frontiers in Psychiatryمصطلحات موضوعية: Visual perception, Computer science, lcsh:RC435-571, supramodal regions, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, lcsh:Psychiatry, medicine, magnetoencephalography (MEG), Sensitivity (control systems), Original Research, Psychiatry, convolutional neural network (CNN), mental imagery, medicine.diagnostic_test, business.industry, Pattern recognition, Magnetoencephalography, expanded multiscale entropy (expMSE), neural decoding, 030227 psychiatry, Psychiatry and Mental health, Neural oscillation, modality specific-regions, Artificial intelligence, multivariate pattern analysis (MVPA), business, 030217 neurology & neurosurgery, Decoding methods, Mental image, Neural decoding
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::706c015b7a7fa39469fe55386d88d4ca
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المؤلفون: Mohamad Khalil, Judie Tabbal, Aya Kabbara, Mahmoud Hassan, Pascal Benquet
المساهمون: Lebanese University [Beirut] (LU), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UNIV-RENNES), Azm and Saade AssociationUniversité LibanaiseNational Council for Scientific Research, NCSR, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UR)
المصدر: 5th International Conference on Advances in Biomedical Engineering, ICABME 2019
5th International Conference on Advances in Biomedical Engineering, ICABME 2019, Oct 2019, Tripoli, Lebanon. pp.8940230, ⟨10.1109/ICABME47164.2019.8940230⟩
Web of Scienceمصطلحات موضوعية: Computer science, Context (language use), 050105 experimental psychology, Brain Networks, 03 medical and health sciences, 0302 clinical medicine, Component analysis, medicine, Dynamic Functional Connectivity, Magnetoencephalography (MEG), 0501 psychology and cognitive sciences, Dimensionality Reduction, Dynamic functional connectivity, medicine.diagnostic_test, business.industry, Dimensionality reduction, 05 social sciences, Pattern recognition, Magnetoencephalography, Independent component analysis, Component Analysis, Generalized canonical correlation, Principal component analysis, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Artificial intelligence, business, 030217 neurology & neurosurgery
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab7869fb6cf2dc94458ef4d57cd8d1b
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02472486 -
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المؤلفون: Weiyong Xu, Tiina Parviainen, Yi Fang Hsu, Jarmo A. Hämäläinen
المصدر: NeuroImage, Vol 207, Iss, Pp 116355-(2020)
مصطلحات موضوعية: Predictive coding, Male, Computer science, havaitseminen, 0302 clinical medicine, Magnetoencephalography (MEG), Attention, predictive coding, media_common, Parametric statistics, MEG, medicine.diagnostic_test, 05 social sciences, Brain, Magnetoencephalography, Electroencephalography, Temporal Lobe, auditory perception, Generative model, Neurology, repetition enhancement, Auditory Perception, Evoked Potentials, Auditory, Female, Adult, Auditory perception, Cognitive Neuroscience, media_common.quotation_subject, Sensory system, Stimulus (physiology), kuulohavainnot, 050105 experimental psychology, Lateralization of brain function, lcsh:RC321-571, Young Adult, 03 medical and health sciences, Repetition suppression, Perception, medicine, Humans, magnetoencephalography (MEG), 0501 psychology and cognitive sciences, Repetition enhancement, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Auditory Cortex, business.industry, Pattern recognition, Weighting, repetition suppression, Artificial intelligence, business, 030217 neurology & neurosurgery
وصف الملف: application/pdf; fulltext
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المؤلفون: François Tadel, Elizabeth Bock, Guiomar Niso, John C. Mosher, Martin Cousineau, Dimitrios Pantazis, Richard M. Leahy, Sylvain Baillet
المصدر: Frontiers in Neuroscience, ISSN 1662-453X, 2019-02-08, Vol. 13, No. 76
Frontiers in Neuroscience, Vol 13 (2019)
Frontiers in Neuroscience
Archivo Digital UPM
Universidad Politécnica de Madridمصطلحات موضوعية: Java, Medicina, Computer science, open data, good practice, computer.software_genre, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, open source, 0302 clinical medicine, Human–computer interaction, Methods, magnetoencephalography (MEG), 0501 psychology and cognitive sciences, electroencephalography (EEG), MATLAB, reproducibility, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, computer.programming_language, Graphical user interface, brain imaging data structure (BIDS), Telecomunicaciones, business.industry, General Neuroscience, 05 social sciences, computer.file_format, Group analysis, Scripting language, group analysis, Data analysis, Electrónica, Executable, business, computer, 030217 neurology & neurosurgery, Neuroscience, Coding (social sciences)
وصف الملف: application/pdf
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المؤلفون: Laura Mandolesi, Pierpaolo Sorrentino, Antonietta Sorriso, Fabio Baselice, Giampaolo Ferraioli, Stefano Franceschini, Rosaria Rucco, Michele Ambrosanio
المساهمون: Sorriso, A, Sorrentino, P, Rucco, R, Mandolesi, L, Ferraioli, Giampaolo, Franceschini, S, Ambrosanio, M, Baselice, Fabio, Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU)
المصدر: Computer Methods in Biomechanics and Biomedical Engineering
Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2019, 22 (14), pp.1116-1125. ⟨10.1080/10255842.2019.1634695⟩مصطلحات موضوعية: noise reduction, Magnetoencephalography (MEG), automated artifact removal, bad data, business.industry, Computer science, [SCCO.NEUR]Cognitive science/Neuroscience, Noise reduction, Statistics as Topic, Biomedical Engineering, Magnetoencephalography, Bioengineering, Pattern recognition, General Medicine, Computer Science Applications, Human-Computer Interaction, Automation, Databases as Topic, Humans, Artificial intelligence, business, Algorithms, ComputingMilieux_MISCELLANEOUS