[PDF] Top 20 EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
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EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
... solution to this challenge, the EEG-BIDS specification incorporates only two recommended “official” data formats: The European Data Format (EDF), which is an ... Voir le document complet
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MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography
... Introduction The Brain Imaging Data Structure (BIDS) is an emerging standard for the organization of neuroimaging data 1 .... The ... Voir le document complet
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Brain source imaging: from sparse to tensor models
... employed to identify cortical networks that characterize the connectivity between distinct brain ...ESULTS To give the reader an idea of the kind of source imaging ... Voir le document complet
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Combining electroencephalography and functional magnetic resonance imaging for neurofeedback
... forms: the current state of research, and its practical ...France, the clinical research community has long been suspicious of this technique, and has only recently began to consider it more ...that ... Voir le document complet
145
Dictionary learning for M/EEG multidimensional data
... or electroencephalography (M/EEG) are very noisy and inherently multi- dimensional, ...instant. To cope with noise, researchers traditionally acquire measurements over multiple repetitions (trials) ... Voir le document complet
2
The Open Brain Consent : Informing research participants and obtaining consent to share brain imaging data
... from the Open Brain Consent working group play an important role in advanc- ing transparent research practices, they do not provide a complete solution to the complex challenges ... Voir le document complet
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Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping
... Understanding the fundamental principles that govern human cognition requires mapping the brain in terms of functional segregation of specialized ...of brain activation related to ... Voir le document complet
43
Imaging of an inflammatory injury in the newborn rat brain with photoacoustic tomography
... consecutive brain slices were chosen from each brain, spanning the injection site for staining and analysis with tetramethylrhodamine isothiocyanate (TRITC)-conjugated lectin to ... Voir le document complet
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Reconstruction of brain networks involved in magnetophosphene perception using dense electroencephalography
... is the current base for setting the exposure limits in international guidelines from the Institute of Electrical and Electronics Engineers (IEEE) and the International Commission on ... Voir le document complet
6
An Extension of SPARQL with Fuzzy Navigational Capabilities for Querying Fuzzy RDF Data
... The first point does not raise any serious problem since one may use the reification mechanism that makes it possible to attach fuzzy degrees to triples, as proposed in ...Concerning ... Voir le document complet
9
XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
... Networks for Biomedical Image ...Staring. An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI ... Voir le document complet
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Towards an Automated Portable Electroencephalography-based System for Alzheimer’s Disease Diagnosis.
... el EEG en reposo (rsEEG), ha sido considerada como una técnica alternativa para el diagnóstico de la EA con la cual se pueden obtener una exactitud similar a las obtenidas con técnicas de neuroimagen más costosas, ... Voir le document complet
197
Brain network estimation from dense EEG signals : application to neurological disorders
... Real Data Real data were selected from a patient who underwent presurgical evaluation for drug-resistant focal ...of the upper limb, stretching of the neck and torso and no post-ictal ... Voir le document complet
191
The Compressed Annotation Matrix: an Efficient Data Structure for Computing Persistent Cohomology
... explicitely the boundaries of the sim- plices, we use a Hasse diagram for implementing K DS ...have the same time com- plexity for accessing the boundaries of ...use the ... Voir le document complet
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M/EEG integration to enhance motor-imagery-based brain-computer interface performances
... Introduction: Brain-computer interface (BCI) is a potential tool for rehabilitation and ...of the BCI experiments relies on the electroencephalography ...faces to both ... Voir le document complet
2
An Upward Compatible Timed Extension to LOTOS
... Meije). The idea has been suggested in the works previously mentioned here-above and may be infor- mally presented as the addition of a “synchronous action” in an asynchronous ...algebra. ... Voir le document complet
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Mind the noise covariance when localizing brain sources with M/EEG
... matched the expected rank across differently processed data sets. The expected rank was computed as the number of channels minus the number of components that were removed from ... Voir le document complet
5
Is post-stroke depression associated to brain imaging parameters?
... is an important topic at the subacute phase due to its negative impact on the recovery and on the ...factors, the methodology varies according to studies, that is probably ... Voir le document complet
50
Hemodynamic Models: Investigation and Application to Brain Imaging Analysis
... Optical imaging can be used on small animals such as rats, cats or monkeys. The animal needs to endure a surgical operation and a trepanation of the skull: a small hole is drilled in ... Voir le document complet
202
Manifold-regression to predict from MEG/EEG brain signals without source modeling
... approach to use standard linear learning algorithms such as logistic or ridge regression that work with Euclidean ...projecting the covariance matrices into a vector space equipped with an Euclidean ... Voir le document complet
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