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Processes and measurements: a framework for understanding neural oscillations in field potentials.
Trends Cogn Sci
January 2025
Machine Learning in Science, Excellence Cluster Machine Learning and Tübingen AI Center, University of Tübingen, Tübingen, Germany. Electronic address:
Various neuroscientific theories maintain that brain oscillations are important for neuronal computation, but opposing views claim that these macroscale dynamics are 'exhaust fumes' of more relevant processes. Here, we approach the question of whether oscillations are functional or epiphenomenal by distinguishing between measurements and processes, and by reviewing whether causal or inferentially useful links exist between field potentials, electric fields, and neurobiological events. We introduce a vocabulary for the role of brain signals and their underlying processes, demarcating oscillations as a distinct entity where both processes and measurements can exhibit periodicity.
View Article and Find Full Text PDFPrediction of good neurological outcome after return of circulation following paediatric cardiac arrest: a systematic review and meta-analysis.
Resuscitation
December 2024
Department of Critical Care Medicine, Hospital for Sick Children, Department of Paediatrics, University of Toronto, Neurosciences and Mental Health Program, Research Institute Toronto, ON, Canada.
Aim: To evaluate the ability of blood-biomarkers, clinical examination, electrophysiology, or neuroimaging, assessed within 14 days from return of circulation to predict good neurological outcome in children following out- or in-hospital cardiac arrest.
Methods: Medline, EMBASE and Cochrane Trials databases were searched (2010-2023). Sensitivity and false positive rates (FPR) for good neurological outcome (defined as either 'no, mild, moderate disability or minimal change from baseline') in paediatric survivors were calculated for each predictor.
Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.
Imeta
December 2024
Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China.
The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.
View Article and Find Full Text PDFTrends and hotspots of stereoelectroencephalogram from 2002 to 2023: a bibliometric analysis.
Front Neurol
December 2024
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Stereoelectroencephalography (SEEG), as a minimally invasive method that can stably collect intracranial electroencephalographic information over long periods, has increasingly been applied in the diagnosis and treatment of intractable epilepsy in recent years. Over the past 20 years, with the advancement of materials science and computer science, the application scenarios of SEEG have greatly expanded. Bibliometrics, as a method of scientifically analyzing published literature, can summarize the evolutionary process in the SEEG field and offer insights into its future development prospects.
View Article and Find Full Text PDFEvolution in electrophysiology 100 years after Einthoven: translational and computational innovations in rhythm control of atrial fibrillation.
Europace
December 2024
Gottfried Schatz Research Center, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria.
In 1924, the Dutch physiologist Willem Einthoven received the Nobel Prize in Physiology or Medicine for his discovery of the mechanism of the electrocardiogram (ECG). Anno 2024, the ECG is commonly used as a diagnostic tool in cardiology. In the paper 'Le Télécardiogramme', Einthoven described the first recording of the now most common cardiac arrhythmia: atrial fibrillation (AF).
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