Background: Somatosensory evoked potentials (SEPs) are used extensively to quantify cortical activity in response to noxious and/or non-noxious sensory stimuli. However, data demonstrating the reliability of SEP measures in response to non-noxious stimulation over time are scarce.
Aim: We investigated the relative and absolute reliability, and the smallest detectable change at 95% confidence (SDC) for SEPs evoked by non-noxious electrical stimulation of the paraspinal muscles in thirty-nine healthy participants at a 3-month interval.
Methods: SEPs were evoked at an intensity three-times that of each participant's perceptual threshold and recorded from a single electrode placed over the primary somatosensory cortex (S1).
Results: Our analyses reveal that i) latency, as a measure of activity onset, has poor relative reliability but good absolute reliability; ii) area, as a measure of cortical activity, has good relative and absolute reliability (except for the N component) and iii) perceptual threshold and stimulation intensity was not reliable over time.
Conclusion: These findings suggest that the area of the N and P SEP components, and the area of the N-N-P SEP complex, can be utilised in future studies as reliable markers of cortical activity.
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http://dx.doi.org/10.1080/00207454.2021.1893722 | DOI Listing |
Sci Rep
January 2025
Department of Signal Theory and Communications, Universidad de Valladolid, 47002, Valladolid, Spain.
Sound-based uroflowmetry (SU) offers a non-invasive alternative to traditional uroflowmetry (UF) for evaluating lower urinary tract dysfunctions, enabling home-based testing and reducing the need for clinic visits. This study compares SU and UF in estimating urine flow rate and voided volume in 50 male volunteers (aged 18-60), with UF results from a Minze uroflowmeter as the reference standard. Audio signals recorded during voiding were segmented and machine learning algorithms (gradient boosting, random forest, and support vector machine) estimated flow parameters from three devices: Ultramic384k, Mi A1 smartphone, and Oppo smartwatch.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Background: Primary hypertension (PH) poses significant risks to children and adolescents. Few prediction models for the risk of PH in children and adolescents currently exist, posing a challenge for doctors in making informed clinical decisions.
Objective: This study aimed to investigate the incidence and risk factors of PH in Chinese children and adolescents.
J Phys Condens Matter
January 2025
University of Science and Technology Beijing, No. 30, Xueyuan Road, Haidian District, Beijing, 100083, CHINA.
Boron nitride (BN), renowned for its exceptional optoelectrical properties, mechanical robustness, and thermal stability, has emerged as a promising two-dimensional (2D) material. Reinforcing AZ80 magnesium alloy with BN can significantly enhance its mechanical properties. To investigate and predict this enhancement during hot deformation, we introduce two independent modeling approaches a modified Johnson-Cook (J-C) constitutive model and an Artificial Neural Network (ANN).
View Article and Find Full Text PDFHepatol Int
January 2025
Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
Background And Aims: Although beneficial in reducing the risk of bacterial infections in patients with advanced decompensated cirrhosis after upper gastrointestinal (GI) bleed, the utility of prophylactic antibiotics in those with Child-Pugh A cirrhosis is not known. We studied if prophylactic antibiotics can be withheld in this cohort.
Methods: This was a single-centre, open-label randomised-controlled-trial with non-inferiority design.
Alzheimers Dement
December 2024
University of Wisconsin-Madison, Madison, WI, USA.
Background: Over the past decades, many risk factors for dementia have been identified including sensory and motor functions. Established risk scores to predict onset of cognitive impairment and/or dementia (e.g.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!