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Biomagnetic resonance: an innovative approach for the mitigation of plant diseases.
Trends Plant Sci
January 2025
Department of Environmental Science, Central University of Kerala, Tejaswini Hills, Periye (PO), - 671 320, Kasaragod (DT), Kerala, India. Electronic address:
Motion artifact variability in biomagnetic wearable devices.
Front Med Technol
October 2024
Neuranics Limited, Glasgow, United Kingdom.
Motion artifacts can be a significant noise source in biomagnetic measurements when magnetic sensors are not separated from the signal source. In ambient environments, motion artifacts can be up to ten times stronger than the desired signals, varying with environmental conditions. This study evaluates the variability of these artifacts and the effectiveness of a gradiometer in reducing them in such settings.
View Article and Find Full Text PDFUltrasensitive SERF atomic magnetometer with a miniaturized hybrid vapor cell.
Microsyst Nanoeng
August 2024
State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and Systems, Xi'an Jiaotong University, Xi'an, 710049, China.
The chip-scale hybrid optical pumping spin-exchange relaxation-free (SERF) atomic magnetometer with a single-beam arrangement has prominent applications in biomagnetic measurements because of its outstanding features, including ultrahigh sensitivity, an enhanced signal-to-noise ratio, homogeneous spin polarization and a much simpler optical configuration than other devices. In this work, a miniaturized single-beam hybrid optical pumping SERF atomic magnetometer based on a microfabricated atomic vapor cell is demonstrated. Although the optically thin Cs atoms are spin-polarized, the dense Rb atoms determine the experimental results.
View Article and Find Full Text PDFNormative connectome-based analysis of sensorimotor deficits in acute subcortical stroke.
Front Neurosci
August 2024
Department of Neurology, Jena University Hospital, Jena, Germany.
The interrelation between acute ischemic stroke, persistent disability, and uncertain prognosis underscores the need for improved methods to predict clinical outcomes. Traditional approaches have largely focused on analysis of clinical metrics, lesion characteristics, and network connectivity, using techniques such as resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI). However, these methods are not routinely used in acute stroke diagnostics.
View Article and Find Full Text PDFConnecting the dots: Motor and default mode network crossroads in post-stroke motor learning deficits.
Neuroimage Clin
June 2024
Department of Neurology, Jena University Hospital, Germany; Biomagnetic Center, Jena University Hospital, Germany.
Background: Strokes frequently result in long-term motor deficits, imposing significant personal and economic burdens. However, our understanding of the underlying neural mechanisms governing motor learning in stroke survivors remains limited - a fact that poses significant challenges to the development and optimisation of therapeutic strategies.
Objective: This study investigates the diversity in motor learning aptitude and its associated neurological mechanisms.
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