33 research outputs found
Image-guided Placement of Magnetic Neuroparticles as a Potential High-Resolution Brain-Machine Interface
We are developing methods of noninvasively delivering magnetic neuroparticlesβ’ via intranasal administration followed by image-guided magnetic propulsion to selected locations in the brain. Once placed, the particles can activate neurons via vibrational motion or magnetoelectric stimulation. Similar particles might be used to read out neuronal electrical pulses via spintronic or liquid-crystal magnetic interactions, for fast bidirectional brain-machine interface. We have shown that particles containing liquid crystals can be read out with magnetic resonance imaging (MRI) using embedded magnetic nanoparticles and that the signal is visible even for voltages comparable to physiological characteristics. Such particles can be moved within the brain (e.g., across midline) without causing changes to neurological firing
Design, Construction and Validation of a New Generation of Bioreactors for Tissue Engineering Applications.
132 p.The thesis reports on the design, fabrication and validation of a new generation of bioreactors for cell culture stimulation, in order to improve cell proliferation in advanced tissue engineering strategies. Bioreactors are developed to take advantage of responsive materials allowing to mimic cell microenvironments, resembling some of the most common physical stimuli within the human body. Some stimuli can be produced by polymer-based scaffolds such as magnetoelectric, which can work as mechanical and electrical actuators.Two types of bioreactors were developed: one for bone tissue engineering through magnetoelectric stimulation (through mechanical vibration and piezoelectricity) and another for muscle tissue engineering through mechanical stretching and controlled current impulses.This project encompasses several fields of engineering such as device engineering, design, mechanics and electronics, having also into account proper material selection and the final biomedical application
ΠΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ°Π³Π½ΠΈΡΠΎΡΠ°ΡΠ³Π΅ΡΠΈΠ½Π³Π° Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΡ ΡΡΠ΅Π΄ΡΡΠ², ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠ΅ Π½Π° Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΈ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ Π² ΡΠΊΠ°Π½ΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°
Analysis of studies in the field of targeted delivery of drugs, genes and stem cells showed a low level of accuracy of both applied and practical research in this area. Sufficiently encouraging results were obtained with extracorporeal electromagnetic action on a pharmacological complex with a ferromagnetic nanoparticle. With this approach, it is rather difficult to implement the algorithm for introducing the drug into the topographic region (target organ), since in practice, approaches to the clinical application of drug transport technology, taking into account the physicochemical properties of human body tissues, have not been studied in detail. The available models represent various physical and mathematical approaches that do not take into account the bioelectrical and electrostatic properties of the tissues of the organisms of experimental animals and humans. The creation of algorithms and software simulation of this technology will allow calculating variable frequency variables for magnetotargeting in a human digital phantom, which will reduce time spent at the stage of pilot and clinical trials and in the future will form the applied part of the innovative technology. The article presents the methodology and results of multiphysics and mathematical modeling in the Sim4Life for Science, V7.0 package on the example of calculating the control parameters of the electromagnetic field of the region in the area of normal administration of drugs β the vessels of the forearm.ΠΠ½Π°Π»ΠΈΠ· ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠ°ΡΠ³Π΅ΡΠ½ΠΎΠΉ Π΄ΠΎΡΡΠ°Π²ΠΊΠΈ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ², Π³Π΅Π½ΠΎΠ² ΠΈ ΡΡΠ²ΠΎΠ»ΠΎΠ²ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ ΠΏΠΎΠΊΠ°Π·Π°Π» Π½ΠΈΠ·ΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² Π΄Π°Π½Π½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΡΡΡ ΡΠΊΡΡΡΠ°ΠΊΠΎΡΠΏΠΎΡΠ°Π»ΡΠ½ΠΎΠ΅ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΡΠ°ΡΠΌΠ°ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡ Ρ Π½Π°Π½ΠΎΡΠ°ΡΡΠΈΡΠ΅ΠΉ ΡΠ΅ΡΡΠΎΠΌΠ°Π³Π½Π΅ΡΠΈΠΊΠ°. ΠΠ΄Π½Π°ΠΊΠΎ ΠΏΡΠΈ ΡΠ°ΠΊΠΎΠΌ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π΅ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΠΎ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π² ΡΠΎΠΏΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΡΡ ΠΎΠ±Π»Π°ΡΡΡ (ΠΎΡΠ³Π°Π½-ΠΌΠΈΡΠ΅Π½Ρ), ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ° Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²ΠΎΠΉΡΡΠ² ΡΠΊΠ°Π½Π΅ΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎ Π½Π΅ ΠΈΠ·ΡΡΠ΅Π½ΠΎ. Π‘ΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΠΈΠ·ΠΈΠΊΠΎ-ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π΅ ΡΡΠΈΡΡΠ²Π°ΡΡ Π±ΠΈΠΎΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° ΡΠΊΠ°Π½Π΅ΠΉ ΠΈΠ·ΡΡΠ°Π΅ΠΌΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΠ°ΡΡΡΠΈΡΠ°ΡΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠ°ΡΡΠΎΡΡ Π΄Π»Ρ ΠΌΠ°Π³Π½ΠΈΡΠΎΡΠ°ΡΠ³Π΅ΡΠΈΠ½Π³Π° Π² ΡΠΈΡΡΠΎΠ²ΠΎΠΌ ΡΠ°Π½ΡΠΎΠΌΠ΅ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠΡΠΎ ΡΠΌΠ΅Π½ΡΡΠΈΡ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Π·Π°ΡΡΠ°ΡΡ Π½Π° ΡΡΠ°Π΄ΠΈΠΈ ΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
ΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΠΏΡΡΠ°Π½ΠΈΠΉ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΡΠ»ΡΡΠΈΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π² ΠΏΠ°ΠΊΠ΅ΡΠ΅ Sim4Life for Science, V7.0 Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΉ ΡΠΏΡΠ°Π²Π»ΡΡΡΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΎΠ±ΡΡΠ½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² β Π² ΡΠΎΡΡΠ΄Ρ ΠΏΡΠ΅Π΄ΠΏΠ»Π΅ΡΡΡ
Simulation of Magnetotargeting of Medicines Based on the Calculation of Permeability of Human Tissues by the Electromagnetic Field
ΠΠ½Π°Π»ΠΈΠ· ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠ°ΡΠ³Π΅ΡΠ½ΠΎΠΉ Π΄ΠΎΡΡΠ°Π²ΠΊΠΈ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ², Π³Π΅Π½ΠΎΠ² ΠΈ ΡΡΠ²ΠΎΠ»ΠΎΠ²ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ ΠΏΠΎΠΊΠ°Π·Π°Π» Π½ΠΈΠ·ΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² Π΄Π°Π½Π½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΡΡΡ ΡΠΊΡΡΡΠ°ΠΊΠΎΡΠΏΠΎΡΠ°Π»ΡΠ½ΠΎΠ΅ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΡΠ°ΡΠΌΠ°ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡ Ρ Π½Π°Π½ΠΎΡΠ°ΡΡΠΈΡΠ΅ΠΉ ΡΠ΅ΡΡΠΎΠΌΠ°Π³Π½Π΅ΡΠΈΠΊΠ°. ΠΠ΄Π½Π°ΠΊΠΎ ΠΏΡΠΈ ΡΠ°ΠΊΠΎΠΌ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π΅ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΠΎ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π² ΡΠΎΠΏΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΡΡ ΠΎΠ±Π»Π°ΡΡΡ (ΠΎΡΠ³Π°Π½-ΠΌΠΈΡΠ΅Π½Ρ), ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ° Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²ΠΎΠΉΡΡΠ² ΡΠΊΠ°Π½Π΅ΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎ Π½Π΅ ΠΈΠ·ΡΡΠ΅Π½ΠΎ. Π‘ΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΠΈΠ·ΠΈΠΊΠΎ-ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π΅ ΡΡΠΈΡΡΠ²Π°ΡΡ Π±ΠΈΠΎΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° ΡΠΊΠ°Π½Π΅ΠΉ ΠΈΠ·ΡΡΠ°Π΅ΠΌΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΠ°ΡΡΡΠΈΡΠ°ΡΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠ°ΡΡΠΎΡΡ Π΄Π»Ρ ΠΌΠ°Π³Π½ΠΈΡΠΎΡΠ°ΡΠ³Π΅ΡΠΈΠ½Π³Π° Π² ΡΠΈΡΡΠΎΠ²ΠΎΠΌ ΡΠ°Π½ΡΠΎΠΌΠ΅ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠΡΠΎ ΡΠΌΠ΅Π½ΡΡΠΈΡ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Π·Π°ΡΡΠ°ΡΡ Π½Π° ΡΡΠ°Π΄ΠΈΠΈ ΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
ΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΠΏΡΡΠ°Π½ΠΈΠΉ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΡΠ»ΡΡΠΈΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π² ΠΏΠ°ΠΊΠ΅ΡΠ΅ Sim4Life for Science, V7.0 Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΉ ΡΠΏΡΠ°Π²Π»ΡΡΡΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΎΠ±ΡΡΠ½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² β Π² ΡΠΎΡΡΠ΄Ρ ΠΏΡΠ΅Π΄ΠΏΠ»Π΅ΡΡΡ
The value of electrical stimulation as an exercise training modality
Voluntary exercise is the traditional way of improving performance of the human body in both the healthy and unhealthy states. Physiological responses to voluntary exercise are well documented. It benefits the functions of bone, joints, connective tissue, and muscle. In recent years, research has shown that neuromuscular electrical stimulation (NMES) simulates voluntary exercise in many ways. Generically, NMES can perform three major functions: suppression of pain, improve healing of soft tissues, and produce muscle contractions. Low frequency NMES may gate or disrupt the sensory input to the central nervous system which results in masking or control of pain. At the same time NMES may contribute to the activation of endorphins, serotonin, vasoactive intestinal polypeptides, and ACTH which control pain and may even cause improved athletic performances. Soft tissue conditions such as wounds and inflammations have responded very favorably to NMES. NMES of various amplitudes can induce muscle contractions ranging from weak to intense levels. NMES seems to have made its greatest gains in rehabilitation where directed muscle contractions may improve joint ranges of motion correct joint contractures that result from shortening muscles; control abnormal movements through facilitating recruitment or excitation into the alpha motoneuron in orthopedically, neurologically, or healthy subjects with intense sensory, kinesthetic, and proprioceptive information; provide a conservative approach to management of spasticity in neurological patients; by stimulation of the antagonist muscle to a spastic muscle stimulation of the agonist muscle, and sensory habituation; serve as an orthotic substitute to conventional bracing used with stroke patients in lieu of dorsiflexor muscles in preventing step page gait and for shoulder muscles to maintain glenohumeral alignment to prevent subluxation; and of course NMES is used in maintaining or improving the performance or torque producing capability of muscle. NMES in exercise training is our major concern
ΠΠΎΠ΄Π΅Π»Ρ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ Π½Π° Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΊΠ°Π½ΠΈ .
The design of modern devices for extracorporeal magnetotherapy should be preceded by physical and mathematical modeling of all stages of the technology of the effect of magnetic fields on various types of body tissues, taking into account their dielectric properties. This is necessary to create an electromagnetic field with the necessary biotropic parameters. In this work, a mathematical model of the effect of electromagnetic field on biological tissues, such as muscles, skin and adipose tissue, is constructed. The mathematical model takes into account various parameters of biological tissue, such as electrical conductivity and relative dielectric constant. Based on the model, the parameters of the response in biological tissues (the amplitude of the response in the tissue and the maximum value of the current in the tissue) were calculated in the innovative Sim4Life 5.2 platform. To test the mathematical model, a laboratory model was used to measure the electrical characteristics of biological tissue. During the research, experiments were carried out with three biological samples: adipose tissue, muscle tissue and skin. The dependences of the response amplitude in biological samples on the output signal power are plotted. The results obtained characterize the use of the proposed operation algorithm in a complex based on the Sim4Life 5.2 platform and simulation of electromagnetic field with a biological object that is optimal for the creation and examination of technologies and devices for magnetotherapy and inductors of extracorporeal effects of magnetic field. This work will make it possible to familiarize a wider range of different experts with the capabilities of the platform not only for modeling new medical devices, but also for the examination of available and those already applied in healthcare.ΠΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² ΡΠΊΡΡΡΠ°ΠΊΠΎΡΠΏΠΎΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠ°Π³Π½ΠΈΡΠΎΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠΈΠ·ΠΈΠΊΠΎ-ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΠ΅Ρ
ΡΡΠ°ΠΏΠΎΠ² ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΌΠ°Π³Π½ΠΈΡΠ½ΡΡ
ΠΏΠΎΠ»Π΅ΠΉ Π½Π° ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΠΈΠΏΡ ΡΠΊΠ°Π½Π΅ΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΡ
Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²ΠΎΠΉΡΡΠ². ΠΡΠΎ Π½ΡΠΆΠ½ΠΎ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΌΠΈ Π±ΠΈΠΎΡΡΠΎΠΏΠ½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ. Π Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΏΠΎΡΡΡΠΎΠ΅Π½Π° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ Π½Π° Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΊΠ°Π½ΠΈ, ΡΠ°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ ΠΌΡΡΡΡ, ΠΊΠΎΠΆΠ° ΠΈ ΠΆΠΈΡΠΎΠ²Π°Ρ ΡΠΊΠ°Π½Ρ. ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΡΡΠΈΡΡΠ²Π°Π΅Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΠ°Π½ΠΈ, ΡΠ°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ ΡΠ΄Π΅Π»ΡΠ½Π°Ρ ΡΠ»Π΅ΠΊΡΡΠΎΠΏΡΠΎΠ²ΠΎΠ΄Π½ΠΎΡΡΡ ΠΈ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½Π°Ρ Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ°ΡΡΡΠΈΡΠ°Π½Ρ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΠΎΡΠΊΠ»ΠΈΠΊΠ° Π² Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΊΠ°Π½ΡΡ
(Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π° ΠΎΡΠΊΠ»ΠΈΠΊΠ° Π² ΡΠΊΠ°Π½ΠΈ ΠΈ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΡΠΎΠΊΠ° Π² ΡΠΊΠ°Π½ΠΈ) Π² ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ΅ Sim4Life 5.2. ΠΠ»Ρ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠΉ ΠΌΠ°ΠΊΠ΅Ρ Π΄Π»Ρ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠΉ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΠ°Π½ΠΈ. Π Ρ
ΠΎΠ΄Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π±ΡΠ»ΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Ρ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΡ Ρ ΡΡΠ΅ΠΌΡ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΎΠ±ΡΠ°Π·ΡΠ°ΠΌΠΈ: ΠΆΠΈΡΠΎΠ²Π°Ρ ΡΠΊΠ°Π½Ρ, ΠΌΡΡΠ΅ΡΠ½Π°Ρ ΡΠΊΠ°Π½Ρ ΠΈ ΠΊΠΎΠΆΠ°. ΠΠΎΡΡΡΠΎΠ΅Π½Ρ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Ρ ΠΎΡΠΊΠ»ΠΈΠΊΠ° Π² Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ°Π·ΡΠ°Ρ
ΠΎΡ ΠΌΠΎΡΠ½ΠΎΡΡΠΈ Π²ΡΡ
ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Π°. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΡΠ°Π±ΠΎΡΡ Π² ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ΅ Π½Π° Π±Π°Π·Π΅ ΠΏΠ»Π°ΡΡΠΎΡΠΌΡ Sim4Life 5.2 ΠΈ ΡΠΈΠΌΡΠ»ΡΡΠΈΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ Ρ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠΌ, ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΌ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΈ ΡΠΊΡΠΏΠ΅ΡΡΠΈΠ·Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈ ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² ΠΌΠ°Π³Π½ΠΈΡΠΎΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈ ΠΈΠ½Π΄ΡΠΊΡΠΎΡΠΎΠ² ΡΠΊΡΡΡΠ°ΠΊΠΎΡΠΏΠΎΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Ρ. ΠΠ°Π½Π½Π°Ρ ΡΠ°Π±ΠΎΡΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΠΎΠ·Π½Π°ΠΊΠΎΠΌΠΈΡΡ Π±ΠΎΠ»Π΅Π΅ ΡΠΈΡΠΎΠΊΠΈΠΉ ΠΊΡΡΠ³ ΡΠ°Π·Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ² Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΠΌΠΈ ΠΏΠ»Π°ΡΡΠΎΡΠΌΡ Sim4Life 5.2 Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠ³ΠΎ Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΈΡ, Π½ΠΎ ΠΈ Π΄Π»Ρ ΡΠΊΡΠΏΠ΅ΡΡΠΈΠ·Ρ ΠΈΠΌΠ΅ΡΡΠΈΡ
ΡΡ ΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΠΈΡ
ΡΡ Π² Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠΈ
Magnetic bioreactor for magneto-, mechano- and electroactive tissue engineering strategies
Biomimetic bioreactor systems are increasingly being developed for tissue engineering applications, due to their ability to recreate the native cell/tissue microenvironment. Regarding bone-related diseases and considering the piezoelectric nature of bone, piezoelectric scaffolds electromechanically stimulated by a bioreactor, providing the stimuli to the cells, allows a biomimetic approach and thus, mimicking the required microenvironment for effective growth and differentiation of bone cells. In this work, a bioreactor has been designed and built allowing to magnetically stimulate magnetoelectric scaffolds and therefore provide mechanical and electrical stimuli to the cells through magnetomechanical or magnetoelectrical effects, depending on the piezoelectric nature of the scaffold. While mechanical bioreactors need direct application of the stimuli on the scaffolds, the herein proposed magnetic bioreactors allow for a remote stimulation without direct contact with the material. Thus, the stimuli application (23 mT at a frequency of 0.3 Hz) to cells seeded on the magnetoelectric, leads to an increase in cell viability of almost 30% with respect to cell culture under static conditions. This could be valuable to mimic what occurs in the human body and for application in immobilized patients. Thus, special emphasis has been placed on the control, design and modeling parameters governing the bioreactor as well as its functional mechanism.FCTβFundação para a CiΓͺncia e Tecnologia: UID/FIS/04650/2020; PTDC/BTM-MAT/28237/2017; PTDC/EMD-EMD/28159/2017 and SFRH/BPD/121464/2016. Spanish Ministry of Economy and Competitiveness (MINECO): MAT2016β76039-C4β3-R (AEI/FEDER, UE). Basque Government Industry and Education Department: ELKARTEK, PIB and PIBA (PIBAβ2018β06) programs, respectively.info:eu-repo/semantics/publishedVersio
Does a single session of theta-burst transcranial magnetic stimulation of inferior temporal cortex affect tinnitus perception?
<p>Abstract</p> <p>Background</p> <p>Cortical excitability changes as well as imbalances in excitatory and inhibitory circuits play a distinct pathophysiological role in chronic tinnitus. Repetitive transcranial magnetic stimulation (rTMS) over the temporoparietal cortex was recently introduced to modulate tinnitus perception. In the current study, the effect of theta-burst stimulation (TBS), a novel rTMS paradigm was investigated in chronic tinnitus. Twenty patients with chronic tinnitus completed the study. Tinnitus severity and loudness were monitored using a tinnitus questionnaire (TQ) and a visual analogue scale (VAS) before each session. Patients received 600 pulses of continuous TBS (cTBS), intermittent TBS (iTBS) and intermediate TBS (imTBS) over left inferior temporal cortex with an intensity of 80% of the individual active or resting motor threshold. Changes in subjective tinnitus perception were measured with a numerical rating scale (NRS).</p> <p>Results</p> <p>TBS applied to inferior temporal cortex appeared to be safe. Although half of the patients reported a slight attenuation of tinnitus perception, group analysis resulted in no significant difference when comparing the three specific types of TBS. Converting the NRS into the VAS allowed us to compare the time-course of aftereffects. Only cTBS resulted in a significant short-lasting improvement of the symptoms. In addition there was no significant difference when comparing the responder and non-responder groups regarding their anamnestic and audiological data. The TQ score correlated significantly with the VAS, lower loudness indicating less tinnitus distress.</p> <p>Conclusion</p> <p>TBS does not offer a promising outcome for patients with tinnitus in the presented study.</p
A clinical study of motor evoked potentials using a triple stimulation technique
Amplitudes of motor evoked potentials (MEPs) are usually much smaller than those of motor responses to maximal peripheral nerve stimulation, and show marked variation between normal subjects and from one stimulus to another. Consequently, amplitude measurements have low sensitivity to detect central motor conduction failures due to the broad range of normal values. Since these characteristics are mostly due to varying desynchronization of the descending action potentials, causing different degrees of phase cancellation, we applied the recently developed triple stimulation technique (TST) to study corticospinal conduction to 489 abductor digiti minimi muscles of 271 unselected patients referred for possible corticospinal dysfunction. The TST allows resynchronization of the MEP, and thereby a quantification of the proportion of motor units activated by the transcranial stimulus. TST results were compared with those of conventional MEPs. In 212 of 489 sides, abnormal TST responses suggested conduction failure of various degrees. By contrast, conventional MEPs detected conduction failures in only 77 of 489 sides. The TST was therefore 2.75 times more sensitive than conventional MEPs in disclosing corticospinal conduction failures. When the results of the TST and conventional MEPs were combined, 225 sides were abnormal: 145 sides showed central conduction failure, 13 sides central conduction slowing and 67 sides both conduction failure and slowing. It is concluded that the TST is a valuable addition to the study of MEPs, since it improves detection and gives quantitative information on central conduction failure, an abnormality which appears to be much more frequent than conduction slowing. This new technique will be useful in following the natural course and the benefit of treatments in disorders affecting central motor conductio
Influence of Gut Microbiota on Behavior and Its Disturbances
Hippocrates statement that βAll disease begins in the gutβ continues to be up to date more than 2000Β years later. Growing number of scientific reports focus on the important role of intestinal microorganisms for modulation of many systems and human behavior. As a key component of the gut brain, gut microbiota influences the development and maturation of the hypothalamic-pituitary-adrenal axis, affects the development and function of the immune system, regulates the blood-brain barrier, modulates the synthesis and recognition of neurotransmitters, regulates neurogenesis, formation of myelination and supports the development and function of the brain. Disruption of gut-brain axis function is associated with alterations in the stress response and might contribute to neuropsychiatric diseases as depression, autistic spectrum disorders, rapid eye movement sleep behavior disorder, Parkinson disease, Alzheimer disease and other mental conditions. Studies in animal models are crucial for guiding research on brain-gut-microbiome axis in humans, as the impact of microbiota on specific brain regions and aspects of animal behavior will help in the selection of tasks for cognitive assessment. Exploring the interaction of gut microbes and human brain will not only allow us to better understand the pathogenesis of neuropsychiatric disorders, but will also provide us new opportunities for the design of novel immuno- or microbe-based therapies