Essays about: "Electrophysiological"
Showing result 1 - 5 of 47 essays containing the word Electrophysiological.
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1. Word-form recognition in 6-month-olds? Using event-related potentials to study the influence of infant-directed speech
University essay from Stockholms universitet/Institutionen för lingvistikAbstract : By 4.5 months infants listen longer to their names compared to matched foils, which is the earliest empirically demonstrated sign of word-form recognition. This ability develops gradually in the first year of life and becomes increasingly advanced. READ MORE
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2. Error-related potentials and error awareness : A meta-analysis
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Performance monitoring is a crucial metacognitive function that allows for adaptive behaviour. Electrophysiological studies on error monitoring specifically, have shown how error trials in different tasks elicit two distinct signatures, the error-related negativity (ERN) and the error positivity (Pe). READ MORE
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3. Investigating the Neural Activity Behind Rhythm-Keeping : An Exploratory Mass Univariate Study
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Many of the skills that are considered noteworthy in our societies are either acquired through training and dedication or granted to those lucky enough to have the right genetics and environment. But one skill that is often overlooked is the ability to keep rhythm. This skill is both remarkable in temporal accuracy and common. READ MORE
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4. EVOKED PHASE COHERENCE AS A BIOMARKER FOR ADAPTIVE NEUROMODULATION IN RAT MODEL OF PARKINSON'S DISEASE
University essay from Umeå universitet/Institutionen för psykologiAbstract : Neuromodulation, such as spinal cord stimulation (SCS) and deep brain stimulation (DBS), has been shown to modulate pathophysiological brain activity and provide symptomatic therapy for several neurological disorders, including Parkinson’s Disease. The effectiveness of this therapy could likely be further improved by neuromodulation that is adaptive, delivering stimulation more selectively, by monitoring a biomarker in recorded brain signals, which indicates the presence of a pathological state. READ MORE
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5. Predicting and classifying atrial fibrillation from ECG recordings using machine learning
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Atrial fibrillation is one of the most common types of heart arrhythmias, which can cause irregular, weak and fast atrial contractions up to 600 beats per minute. Atrial fibrillation has increased prevalence with age and is associated with increased risks of ischemia, as blood clots can form due to the weak contractions. READ MORE