Results 221 to 230 of about 297,450 (276)

Modeling Supports Combinatorial Effects Between Pharmacological and Non‐Pharmacological Interventions to Prevent Opioid‐Induced Cardiac Arrest

Clinical Pharmacology &Therapeutics, EarlyView.
Few studies have quantified the effects of non‐pharmacological interventions (e.g., rescue breathing) in the setting of community opioid overdose. We extended a previously validated model for opioid antagonists by incorporating the mechanism of rescue breathing, and quantified combinatorial effects between rescue breathing and various formulations of ...
Bradlee Thrasher, John Mann, Anik Chaturbedi, Shilpa Chakravartula, Hamed Meshkin, Affan Affan, Alexander Galluppi, Ji Young Kim, Nigar Karimli, Yue Han, Zachary Dezman, Jeffry Florian, Zhihua Li   +12 more
wiley   +1 more source

Neurofeedback for Binge‐Eating Disorder: Neurophysiological Outcome Predictors and Rapid Response

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Pioneer studies suggested the effectiveness of food‐specific electroencephalography (EEG) and real‐time functional near‐infrared spectroscopy (rtfNIRS) neurofeedback (NF) trainings in the treatment of binge‐eating disorder (BED). These trainings aim to improve participants' neurophysiological self‐regulation.
Ben Schreglmann, Ricarda Schmidt, Michael Lührs, Anja Hilbert   +3 more
wiley   +1 more source

A guide to neuromodulation in drug‐resistant epilepsy

Epileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh, Irena Dolezawa, Manu Hegde, Lukas Imbach, Brian N. Lundstrom, Francesca Pizzo, Vikram R. Rao, Jaysingh Singh, Derek Southwell, Satsuke Watanabe, Birgit Frauscher   +10 more
wiley   +1 more source

A call for ethical, equitable, and effective artificial intelligence to improve care for all people with epilepsy: A roadmap. A report by the ILAE Global Advocacy Council and Big Data Commission

Epilepsia, EarlyView.
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson, Sandor Beniczky, Spiros Denaxas, Akio Ikeda, Lara Jehi, Angelina Kakooza Mwesige, Nathalie Jette, Gabriel Davis Jones, Philippe Ryvlin, Arjune Sen, Chahnez Charfi Triki, Gabriella Waters, Alla Guekht, J. Helen Cross   +13 more
wiley   +1 more source

27th Annual Computational Neuroscience Meeting (CNS*2018): Part Two. [PDF]

BMC Neurosci, 2018
europepmc   +1 more source

Scalp‐negative medial temporal interictal epileptic discharges alter large‐scale brain networks: A simultaneous high‐density electroencephalographic and intracranial electroencephalographic study

Epilepsia, EarlyView.
Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings.
Nicolas Roehri, Pia De Stefano, Laurent Spinelli, Renaud Marquis, Stanislas Lagarde, Shahan Momjian, Margitta Seeck, Serge Vulliemoz   +7 more
wiley   +1 more source

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One. [PDF]

BMC Neurosci, 2018
europepmc   +1 more source

Altered neurostructural development in magnetic resonance imaging‐negative pediatric epilepsy: A large‐scale multicenter study of 1919 children

Epilepsia, EarlyView.
Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang, Minghao Li, Huijun Li, Wei Yu, Peilin Jiang, Xinyi Zhou, Ke Hu, Feng Yang, Jiu Chen, Ming Yang, Xiaoshan Wang   +10 more
wiley   +1 more source

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Computational Neuroscience

Science, 1988
The ultimate aim of computational neuroscience is to explain how electrical and chemical signals are used in the brain to represent and process information. This goal is not new, but much has changed in the last decade. More is known now about the brain because of advances in neuroscience, more computing power is available for performing realistic ...
Sejnowski, Terrence J., Koch, Christof, Churchland, Patricia S.   +2 more
openaire   +3 more sources