Background: Stimulus-response (S-R) properties of the corticospinal system in humans depend on the interactions that take place at different sites along the corticospinal pathway. The mechanisms influencing stimulus-response curves elicited by transcranial magnetic stimulation (TMS) and their operation site along the human neuraxis are poorly understood. In this study, we investigated the effects of CNS-active drugs with distinct mechanisms of action on S-R curves. Effects of each of these drugs on S-R curves would point to the involvement of specific mechanisms. Additionally, relative sensitivity of S-R curves compared with other measures of corticospinal excitability was studied.
Methods: We studied the effects of lorazepam, which is a positive allosteric modulator of GABA(A) receptors; lamotrigine, an inhibitor of voltage-gated Na(+) and Ca(2+) channels; and D-amphetamine, an indirect agonist of the dopaminergic-adrenergic system on S-R curves, motor thresholds (MT), and intracortical inhibition (ICI) and facilitation (ICF) with a double-pulse technique. Maximum peripheral M responses and F waves were investigated as measures of the total alpha-motoneuron pool and its excitability.
Results: F and M waves were unaffected by either the drugs or placebo. S-R curves were significantly depressed by lorazepam and lamotrigine without changes in ICI and ICF. Both S-R curves and ICF were enhanced by D-amphetamine. MT increased only with lamotrigine.
Conclusions: S-R curves were influenced by changes in the GABAergic and monoaminergic system and Na(+) and Ca(2+) channel properties. Our results indicate that, out of different parameters of motor system excitability, S-R curves were the most sensitive.
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http://dx.doi.org/10.1016/s1388-2457(01)00523-5 | DOI Listing |
Sci Rep
January 2025
Centre for Medical Education, Queen's University Belfast, Belfast, UK.
The Arteriovenous Access Stage (AVAS) classification simplifies information about suitability of vessels for vascular access (VA). It's been previously validated in a clinical study. Here, AVAS performance was tested against multiple ultrasound mapping measurements using machine learning.
View Article and Find Full Text PDFTransl Lung Cancer Res
December 2024
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Lung adenocarcinoma (LUAD) is a sub-type of non-small cell lung cancer (NSCLC) that is often associated with genetic alterations, including the Kirsten rat sarcoma viral oncogene homolog () mutation. The mutation is particularly challenging to treat due to resistance to targeted therapies. This study aims to develop a predictive model for the mutation in patients with LUAD by integrating clinical, dual-energy spectral computed tomography (DESCT), and radiomics features.
View Article and Find Full Text PDFGeriatr Gerontol Int
January 2025
Faculty of Life Sciences, Kyoto Sangyo University, Kyoto, Japan.
Aim: To identify sarcopenia markers in urinary odor.
Methods: We performed solid-phase microextraction from the headspace and gas chromatography-mass spectrometry analysis of urinary volatile organic compounds (VOCs) in 71 healthy individuals and 68 patients diagnosed with sarcopenia according to the Asian Working Group on Sarcopenia 2019 criteria. The mass-to-charge ratios (m/z) of 10 VOCs with a significant difference in the total ion chromatogram of 220 VOCs detected in this study were compared by U-test.
Dysphagia
January 2025
Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Turkey.
This study aimed to develop the 'Fear of Feeding My Child- A Parental Report (FF-PR)', which measures the parental fear of feeding their children, and to determine its reliability and validity. The study consists of the developmental phase and reported the content validity, internal consistency, test-retest reliability, construct, criterion, and discriminant validity. The study included two groups; 'Group I (N = 90)' who had a neurological disorder and their parents, and 'Group II (N = 60)' who were typically developing children without any feeding and swallowing problems and their parents.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
Power quality (PQ) disturbances, such as voltage sags, are significant issues that can lead to damage in electrical equipment and system downtime. Detecting and classifying these disturbances accurately is essential for maintaining reliable power systems. This paper introduces a novel approach to voltage sag analysis by employing wavelet packet analysis combined with energy-based feature extraction to enhance PQ monitoring.
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