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Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach.
Brain Topogr
January 2025
Aging and Neuroscience Laboratory (LABEN), Federal University of Paraíba, João Pessoa, PB, Brazil.
Electroencephalography microstates (EEG-MS) show promise to be a neurobiological biomarker in stroke. Thus, the aim of the study was to identify biomarkers to discriminate stroke patients from healthy individuals based on EEG-MS and clinical features using a machine learning approach. Fifty-four participants (27 stroke patients and 27 healthy age and sex-matched controls) were recruited.
View Article and Find Full Text PDFDiscrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study.
JMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
View Article and Find Full Text PDFDiagnosis of atrial cardiomyopathy: from the electrocardiogram to the new opportunities with multimodality imaging.
J Cardiovasc Med (Hagerstown)
February 2025
Division of Cardiology, Department of Systems Medicine, Tor Vergata University, Rome.
Atrial cardiomyopathy (AC) has been defined by the European Heart Rhythm Association as "Any complex of structural, architectural, contractile, or electrophysiologic changes in the atria with the potential to produce clinically relevant manifestations".1 The left atrium (LA) plays a key role in maintaining normal cardiac function; in fact atrial dysfunction has emerged as an essential determinant of outcomes in different clinical scenarios, such as valvular diseases, heart failure (HF), coronary artery disease (CAD) and atrial fibrillation (AF). A comprehensive evaluation, both anatomical and functional, is routinely performed in cardiac imaging laboratories.
View Article and Find Full Text PDFWhich Brugada patient deserves continuous ECG monitoring through implantable loop recorder? An evidence update.
J Cardiovasc Med (Hagerstown)
February 2025
Division of Cardiology, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende (CS).
Brugada syndrome (BrS) is a genetic condition that increases the risk of life-threatening arrhythmias, which can result in sudden cardiac death (SCD). Implantable loop recorders (ILRs) have become a key tool in managing patients with unexplained syncope, and guidelines advise their use in individuals with recurrent, unexplained syncope or palpitations. However, the role of ILRs in inherited arrhythmic conditions like BrS remains a topic of debate.
View Article and Find Full Text PDFEffects of stimuli and contralateral noise levels on auditory cortical potentials recorded in school-age children.
PLoS One
January 2025
Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Background And Objective: One of the functions attributed to the auditory efferent system is related to the processing of acoustic stimuli in noise backgrounds. However, clinical implications and the neurophysiological mechanisms of this system are not yet understood, especially on higher regions of the central nervous system. Only a few researchers studied the effects of noise on cortical auditory evoked potentials (CAEP), but the lack of studies in this area and the contradictory results, especially in children, point to the need to investigate different protocols and parameters that could allow the study of top-down activity in humans.
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