Results 91 to 100 of about 180,531 (324)

Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings

, 2017
We deal with estimation of multiple dipoles from combined MEG and EEG time--series. We use a sequential Monte Carlo algorithm to characterize the posterior distribution of the number of dipoles and their locations.
Luria, Gianvittorio, Rossi, Filippo, Sommariva, Sara, Sorrentino, Alberto   +3 more
core   +1 more source

Electroencephalography Predicts Poor and Good Outcomes After Cardiac Arrest: A Two-Center Study. [PDF]

, 2017
The prognostic role of electroencephalography during and after targeted temperature management in postcardiac arrest patients, relatively to other predictors, is incompletely known.
Ben-Hamouda, N., Britton, J.W., Juan, E., Novy, J., Oddo, M., Rabinstein, A.A., Rossetti, A.O., Tovar Quiroga, D.F., White, R.D.   +8 more
core   +1 more source

Toward a Universal Map of EEG: A Semantic, Low‐Dimensional Manifold for EEG Classification, Clustering, and Prognostication

Annals of Neurology, EarlyView.
Objective Prognostication in patients with disorders of consciousness (DOCs) remains challenging because of heterogeneous etiologies, pathophysiologies and, consequently, highly variable electroencephalograms (EEGs). Here, we use EEG patterns that are well‐characterizable to create a latent map that positions novel EEGs along a continuum. We asses this
Laura Krumm, Dominik D. Kranz, Mustafa Halimeh, Alexander Nelde, Edilberto Amorim, Sahar Zafar, Jin Jing, Robert J. Thomas, M. Brandon Westover, Christian Meisel   +9 more
wiley   +1 more source

Steady-State Visual-Evoked Potentials as a Biomarker for Concussion: A Pilot Study

Frontiers in Neuroscience, 2020
A variety of assessment tools are currently available to help clinicians assess Sports Related Concussion (SRC). Currently, the most widely available tools are neither objective nor portable, and are therefore not ideal for assessment at the site and ...
Daryl H. C. Fong, Adrian Cohen, Philip Boughton, Paul Raftos, Joseph E. Herrera, Neil G. Simon, David Putrino   +6 more
doaj   +1 more source

Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multi-wavelets [PDF]

, 2008
A new time-varying autoregressive (TVAR) modelling approach is proposed for nonstationary signal processing and analysis, with application to EEG data modelling and power spectral estimation.
Billings, S.A., Liu, J., Wei, H.L.
core  

Visual Features in Stereo‐Electroencephalography to Predict Surgical Outcome: A Multicenter Study

Annals of Neurology, EarlyView.
Objective Epilepsy surgery needs predictive features that are easily implemented in clinical practice. Previous studies are limited by small sample sizes, lack of external validation, and complex computational approaches. We aimed to identify and validate visually stereo‐electroencephalography (SEEG) features with the highest predictive value for ...
Chifaou Abdallah, John Thomas, Olivier Aron, Tamir Avigdor, Kassem Jaber, Irena Doležalová, Daniel Mansilla, Päivi Nevalainen, Prachi Parikh, Jaysingh Singh, Sandor Beniczky, Philippe Kahane, Lorella Minotti, Stephan Chabardes, Sophie Colnat‐Coulbois, Louis Maillard, Jeff Hall, Francois Dubeau, Jean Gotman, Christophe Grova, Birgit Frauscher   +20 more
wiley   +1 more source

Characteristic features of electroencephalogram in a pediatric patient with GRIN1 encephalopathy

Brain Disorders, 2022
Background: The number of reports on GRIN1 variants associated with neurodevelopmental phenotypes has increased in recent years. However, there are only two detailed reports on electroencephalography findings. Case study: We had a case with severe global
Naohiro Yamamoto, Masataka Fukuoka, Ichiro Kuki, Naomi Tsuchida, Naomichi Matsumoto, Shin Okazaki   +5 more
doaj  

Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory

, 1999
This paper focuses on how bottom-up neocortical models can be developed into eigenfunction expansions of probability distributions appropriate to describe short-term memory in the context of scalp EEG. The mathematics of eigenfunctions are similar to the
Ingber, Lester
core  

Toward Natural Limb Function: A New Era in Prosthetic Innovation

Annals of Neurology, EarlyView.
The past decade has witnessed groundbreaking clinical implementation of neuroprosthetic limbs driven by signals from peripheral targets (eg, nerves and muscle) and the brain to restore limb function for individuals with limb loss or impairment. In this review, we highlight recent key clinical trials in peripheral neuroprosthetic interfaces directly ...
Yucheng Tian, Dylan M. Wallace, Paul S. Cederna, Cynthia A. Chestek, Stephen W. P. Kemp   +4 more
wiley   +1 more source

The Role of Electroencephalography in Predicting Post‐Stroke Seizures and an Updated Prognostic Model (SeLECT‐EEG)

Annals of Neurology, EarlyView.
Objective Seizures negatively impact stroke outcomes, highlighting the need for reliable predictors of post‐stroke epilepsy. Although acute symptomatic seizures are a known risk factor, most stroke survivors who develop epilepsy do not experience them.
Kai Michael Schubert, Vijaya Dasari, Ana Lúcia Oliveira, Chiara Tatillo, Gilles Naeije, Adam Strzelczyk, Giovanni Merlino, Mariarosaria Valente, Nicolas Gaspard, Vineet Punia, Marian Galovic, Carla Bentes, for the SeLECT Collaborators   +12 more
wiley   +1 more source