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Journal articles on the topic 'Electrophysiological activity'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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1

Blanks, Andrew M., and Hari Eswaran. "Measurement of uterine electrophysiological activity." Current Opinion in Physiology 13 (February 2020): 38–42. http://dx.doi.org/10.1016/j.cophys.2019.09.009.

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2

Klonowski, Włodzimierz, Pawel Stepien, and Robert Stepien. "Complexity Measures of Brain Electrophysiological Activity." Journal of Psychophysiology 24, no. 2 (2010): 131–35. http://dx.doi.org/10.1027/0269-8803/a000024.

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Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may

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3

Olbrich, Sebastian. "Subcortical activity in electrophysiological scalp recordings." Clinical Neurophysiology 126, no. 7 (2015): 1279–80. http://dx.doi.org/10.1016/j.clinph.2014.09.027.

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4

Johnson, Marcia K., John Kounios, and Scott F. Nolde. "Electrophysiological brain activity and memory source monitoring." NeuroReport 7, no. 18 (1996): 2929–32. http://dx.doi.org/10.1097/00001756-199611250-00025.

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Johnson, Marcia K., John Kounios, and Scott F. Nolde. "Electrophysiological brain activity and memory source monitoring." NeuroReport 8, no. 5 (1997): 1317–20. http://dx.doi.org/10.1097/00001756-199703240-00051.

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6

Watson, B. V., H. Algahtani, R. J. Broome, and J. D. Brown. "An Unusual Presentation of Tarsal Tunnel Syndrome Caused by an Inflatable Ice Hockey Skate." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 29, no. 4 (2002): 386–89. http://dx.doi.org/10.1017/s0317167100002274.

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Background:Tarsal tunnel syndrome is a rare form of entrapment neuropathy. In athletes, it is usually the result of repetitive activity, local injury or a space-occupying lesion. Rarely, athletic footwear has been described as the primary cause of this syndrome.Methods:A 37-year-old male recreational hockey player was examined clinically and electrophysiologically because of spreading numbness in the toes of his left foot while playing hockey and wearing inflatable ice hockey skates designed to promote a better fit.Results:Clinical and electrophysiological studies revealed evidence of left med

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7

Popovic, Dejana, Predrag Brkic, Dejan Nesic, Stanimir Stojiljkovic, Ljiljana Scepanovic, and Miodrag Ostojic. "Electrophysiological characteristics of the athlete's heart." Medical review 60, no. 3-4 (2007): 156–59. http://dx.doi.org/10.2298/mpns0704156p.

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Introduction. The athletic heart syndrome is characterized by morphological, functional and electrophysiological alterations as an adaptive response to vigorous physical activity. Athletes heart is predominantly associated with a programmed, intensive training. But as there are different kinds of physical activities, the degree of these changes is highly variable. Electrophysiological characteristics of the athlete's heart. The response of the body to vigorous physical activity is a multiorgan system phenomenon. The integrated functioning of each of these organ systems is very important, but t

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Muller, Alana J., James M. Shine, Camarin E. Rolle, et al. "Anterior‐posterior electrophysiological activity characterizes Parkinsonian visual misperceptions." Neurology and Clinical Neuroscience 9, no. 4 (2021): 312–18. http://dx.doi.org/10.1111/ncn3.12508.

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9

Duff, H. J., W. M. Lester, and M. Rahmberg. "Amiloride. Antiarrhythmic and electrophysiological activity in the dog." Circulation 78, no. 6 (1988): 1469–77. http://dx.doi.org/10.1161/01.cir.78.6.1469.

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&NA;. "Melperone has class III antiarrhythmic and electrophysiological activity." Inpharma Weekly &NA;, no. 732 (1990): 17–18. http://dx.doi.org/10.2165/00128413-199007320-00045.

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11

Fernandes, M. S., J. H. Correia, and P. M. Mendes. "Photonic Sensing of Electrophysiological Activity for Wearable Applications." IEEE Journal of Selected Topics in Quantum Electronics 20, no. 2 (2014): 112–20. http://dx.doi.org/10.1109/jstqe.2013.2294455.

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12

Martínez-Galindo, Joyce Graciela, and Selene Cansino. "Emotional context during encoding modulates recognition electrophysiological activity." Experimental Brain Research 235, no. 1 (2016): 169–79. http://dx.doi.org/10.1007/s00221-016-4780-8.

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13

Böhm, Maximilian, David Y. Chung, Carlos A. Gómez, et al. "Neurovascular coupling during optogenetic functional activation: Local and remote stimulus-response characteristics, and uncoupling by spreading depression." Journal of Cerebral Blood Flow & Metabolism 40, no. 4 (2019): 808–22. http://dx.doi.org/10.1177/0271678x19845934.

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Neurovascular coupling is a fundamental response that links activity to perfusion. Traditional paradigms of neurovascular coupling utilize somatosensory stimulation to activate the primary sensory cortex through subcortical relays. Therefore, examination of neurovascular coupling in disease models can be confounded if the disease process affects these multisynaptic pathways. Optogenetic stimulation is an alternative to directly activate neurons, bypassing the subcortical relays. We employed minimally invasive optogenetic cortical activation through intact skull in Thy1-channelrhodopsin-2 trans

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14

Di Credico, Andrea, Giulia Gaggi, Pascal Izzicupo, et al. "Real-Time Monitoring of Levetiracetam Effect on the Electrophysiology of an Heterogenous Human iPSC-Derived Neuronal Cell Culture Using Microelectrode Array Technology." Biosensors 11, no. 11 (2021): 450. http://dx.doi.org/10.3390/bios11110450.

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Levetiracetam (LEV) is a broad-spectrum and widely used antiepileptic drug that also has neuroprotective effects in different neurological conditions. Given its complex interaction with neuronal physiology, a better comprehension of LEV effects on neurons activity is needed. Microelectrode arrays (MEAs) represent an advanced technology for the non-invasive study of electrophysiological activity of neuronal cell cultures. In this study, we exploited the Maestro Edge MEA system, a platform that allows a deep analysis of the electrical network behavior, to study the electrophysiological effect of

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15

NEROBKOVA, L. N., N. V. MARKINA, G. M. MOLODAVKIN, and T. A. VORONINA. "ELECTROPHYSIOLOGICAL AND BEHAVIOURAL ACTIVITY OF 7-CL-KYNURENIC ACID (NMDA-ANTAGONIST) ACTIVITY." Behavioural Pharmacology 6, no. 5 (1995): 628. http://dx.doi.org/10.1097/00008877-199508000-00064.

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16

Bentin, Shlomo, Noam Sagiv, Axel Mecklinger, Angela Friederici, and Yves D. von Cramon. "Priming Visual Face-Processing Mechanisms: Electrophysiological Evidence." Psychological Science 13, no. 2 (2002): 190–93. http://dx.doi.org/10.1111/1467-9280.00435.

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Accumulated evidence from electrophysiology and neuroimaging suggests that face perception involves extrastriate visual mechanisms specialized in processing physiognomic features and building a perceptual representation that is categorically distinct and can be identified by face-recognition units. In the present experiment, we recorded event-related brain potentials in order to explore possible contextual influences on the activity of this perceptual mechanism. Subjects were first exposed to pairs of small shapes, which did not elicit any face-specific brain activity. The same stimuli, howeve

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17

Hashimoto, Jun, Shigenori Kawabata, Toru Sasaki, et al. "Assessment of thoracic spinal cord electrophysiological activity through magnetoneurography." Clinical Neurophysiology 133 (January 2022): 39–47. http://dx.doi.org/10.1016/j.clinph.2021.09.023.

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18

Ding, Xiang, Wenli Liu, Jiyan Zhang, and Liangliang Zhao. "A method and system to simulate human electrophysiological activity." Technology and Health Care 25 (July 20, 2017): 167–75. http://dx.doi.org/10.3233/thc-171319.

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19

Schmajuk, Mariana, Mario Liotti, Laura Busse, and Marty G. Woldorff. "Electrophysiological activity underlying inhibitory control processes in normal adults." Neuropsychologia 44, no. 3 (2006): 384–95. http://dx.doi.org/10.1016/j.neuropsychologia.2005.06.005.

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20

Nitz, Douglas A., Bruno van Swinderen, Giulio Tononi, and Ralph J. Greenspan. "Electrophysiological Correlates of Rest and Activity in Drosophila melanogaster." Current Biology 12, no. 22 (2002): 1934–40. http://dx.doi.org/10.1016/s0960-9822(02)01300-3.

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21

Arzouan, Yossi, Abraham Goldstein, and Miriam Faust. "Dynamics of hemispheric activity during metaphor comprehension: Electrophysiological measures." NeuroImage 36, no. 1 (2007): 222–31. http://dx.doi.org/10.1016/j.neuroimage.2007.02.015.

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22

Lee, Kun-Ze, Michael A. Lane, Brendan J. Dougherty, et al. "Intraspinal transplantation and modulation of donor neuron electrophysiological activity." Experimental Neurology 251 (January 2014): 47–57. http://dx.doi.org/10.1016/j.expneurol.2013.10.016.

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23

Hattori, Minoru, and Shogo Sakata. "Brain electrophysiological activity correlates with temporal processing in rats." Behavioural Processes 101 (January 2014): 97–102. http://dx.doi.org/10.1016/j.beproc.2013.09.011.

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24

Martínez-Silva, Lourdes, Elias Manjarrez, Gabriel Gutiérrez-Ospina, and Jorge N. Quevedo. "Electrophysiological Representation of Scratching CPG Activity in the Cerebellum." PLoS ONE 9, no. 10 (2014): e109936. http://dx.doi.org/10.1371/journal.pone.0109936.

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25

Takeshita-Monaretti, Telma K., Lílian Aguiar-Ricz, Patrícia Bastos, Wilson Marques, and Hilton Ricz. "Electrophysiological activity of the pharyngoesophageal transition of total laryngectomees." Laryngoscope 127, no. 6 (2016): 1369–75. http://dx.doi.org/10.1002/lary.26266.

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26

Shafer, Valerie L., Kathy L. Kessler, Richard G. Schwartz, Mara L. Morr, and Diane Kurtzberg. "Electrophysiological indices of brain activity to “the” in discourse." Brain and Language 93, no. 3 (2005): 277–97. http://dx.doi.org/10.1016/j.bandl.2004.10.008.

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27

Pasu, Georgiana. "Clinical application of laryngeal electromyography – a point of view." Romanian Journal of Rhinology 7, no. 25 (2017): 39–46. http://dx.doi.org/10.1515/rjr-2017-0005.

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Abstract In recent years, the clinical importance of laryngeal electromyography (LEMG) has been recognized. This method of investigation proved itself to be a valuable and indispensable tool regarding voice disorder management and requires multidisciplinary approach. In this article, we focus on the clinical usefulness of LEMG to assess inferior and superior motor neuron integrity by recording action potentials generated by muscle fibers of the larynx in the new field known as neurolaryngology. To facilitate the clinical application of this electrophysiologic test, we present a detailed descri

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28

Ng, Kheng-Seong, Simon J. Brookes, Noemi A. Montes-Adrian, David A. Mahns, and Marc A. Gladman. "Electrophysiological characterization of human rectal afferents." American Journal of Physiology-Gastrointestinal and Liver Physiology 311, no. 6 (2016): G1047—G1055. http://dx.doi.org/10.1152/ajpgi.00153.2016.

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It is presumed that extrinsic afferent nerves link the rectum to the central nervous system. However, the anatomical/functional existence of such nerves has never previously been demonstrated in humans. Therefore, we aimed to identify and make electrophysiological recordings in vitro from extrinsic afferents, comparing human rectum to colon. Sections of normal rectum and colon were procured from anterior resection and right hemicolectomy specimens, respectively. Sections were pinned and extrinsic nerves dissected. Extracellular visceral afferent nerve activity was recorded. Neuronal responses

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29

Huang, Christopher L. H. "Murine Electrophysiological Models of Cardiac Arrhythmogenesis." Physiological Reviews 97, no. 1 (2017): 283–409. http://dx.doi.org/10.1152/physrev.00007.2016.

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Cardiac arrhythmias can follow disruption of the normal cellular electrophysiological processes underlying excitable activity and their tissue propagation as coherent wavefronts from the primary sinoatrial node pacemaker, through the atria, conducting structures and ventricular myocardium. These physiological events are driven by interacting, voltage-dependent, processes of activation, inactivation, and recovery in the ion channels present in cardiomyocyte membranes. Generation and conduction of these events are further modulated by intracellular Ca2+ homeostasis, and metabolic and structural

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30

Blinowska, Katarzyna, Gernot Müller-Putz, Vera Kaiser, et al. "Multimodal Imaging of Human Brain Activity: Rational, Biophysical Aspects and Modes of Integration." Computational Intelligence and Neuroscience 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/813607.

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Until relatively recently the vast majority of imaging and electrophysiological studies of human brain activity have relied on single-modality measurements usually correlated with readily observable or experimentally modified behavioural or brain state patterns. Multi-modal imaging is the concept of bringing together observations or measurements from different instruments. We discuss the aims of multi-modal imaging and the ways in which it can be accomplished using representative applications. Given the importance of haemodynamic and electrophysiological signals in current multi-modal imaging

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31

Briley, Paul M., Elizabeth B. Liddle, Madeleine J. Groom, et al. "Development of human electrophysiological brain networks." Journal of Neurophysiology 120, no. 6 (2018): 3122–30. http://dx.doi.org/10.1152/jn.00293.2018.

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Functional activity in the human brain is intrinsically organized into independently active, connected brain regions. These networks include sensorimotor systems, as well as higher-order cognitive networks such as the default mode network (DMN), which dominates activity when the brain is at rest, and the frontoparietal (FPN) and salience (SN) networks, which are often engaged during demanding tasks. Evidence from functional magnetic resonance imaging (fMRI) suggests that although sensory systems are mature by the end of childhood, the integrity of the FPN and SN develops throughout adolescence

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32

Mazur, E. S., V. V. Mazur, H. A. Jaber, and Yu A. Orlov. "To the question of electrophysiological remodeling role in the genesis of ventricular ectopy in patients with postinfarction cardiosclerosis." Kazan medical journal 99, no. 2 (2018): 207–12. http://dx.doi.org/10.17816/kmj2018-207.

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Aim. To study the character and intensity of relationship between left ventricular dilatation, severity of electrophysiological myocardium remodeling and ectopic ventricular activity in patients with postinfarction cardiosclerosis. Methods. 46 patients with postinfarction cardiosclerosis were examined (males, average age 57.9 years). All patients underwent echocardiography with detection of end diastolic volume of left ventricle and its ejection fraction, Holter monitoring with determining signal-averaged electrocardiogram and severity of ventricular ectopic activity with calculation of

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33

Zerhau, P., Z. Mackerle, M. Husar, et al. "Limitations in using rabbit bladders in electrophysiological and urodynamic experiments." Veterinární Medicína 59, No. 8 (2014): 376–81. http://dx.doi.org/10.17221/7657-vetmed.

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The aim of this study was to explore the possibility of using rabbit bladder as a model for experimental detrusor electrostimulation research. In a study of urinary bladder activity induced through electrostimulation of the ventral roots, the functional and morphological parameters of the rabbit detrusor were investigated. Under general anaesthesia, open electrostimulation of ventral spinal roots leading towards the detrusor (usually S<sub>2, </sub>S<sub>3</sub>) was performed in 20 rabbits. Detrusor response was recorded by repeated electromyography and cystometry in t

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34

Yu, Seong Hun, and Hyun Jin Kim. "Electrophysiological characteristics according to activity level of myofascial trigger points." Journal of Physical Therapy Science 27, no. 9 (2015): 2841–43. http://dx.doi.org/10.1589/jpts.27.2841.

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35

Mamaev, A. V., L. D. Samusenko, and M. V. Barkova. "LOCATION, ELECTROPHYSIOLOGICAL ACTIVITY AND STRUCTURE OF SHEEP BIOLOGICALLY ACTIVE CENTRES." VESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY 40, no. 4 (2016): 61–68. http://dx.doi.org/10.31563/1684-7628-2016-40-4-61-68.

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36

Boyko, A. I., S. D. Rykunov, and M. N. Ustinin. "A Software Package for the Modeling of Electrophysiological Activity Data." Mathematical Biology and Bioinformatics 17, no. 1 (2022): 1–9. http://dx.doi.org/10.17537/2022.17.1.

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A complex of programs has been developed for computer modeling of multichannel time series recorded in various experiments on electromagnetic fields created by the human body. Sets of coordinates and directions of sensors for magnetic encephalographs of several types, electroencephalographs and magnetic cardiographs are used as models of devices. To study the human brain, magnetic resonance tomograms are used as head models; to study the heart, a body model in the form of a half-space with a flat boundary is used. The sources are placed in the model space, for them the direct problem is solved

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37

Bin He, Lin Yang, C. Wilke, and Han Yuan. "Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities." IEEE Transactions on Biomedical Engineering 58, no. 7 (2011): 1918–31. http://dx.doi.org/10.1109/tbme.2011.2139210.

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38

Mazaeva, Natalia, Santosh Mathan, Michael Dorneich, Stephen Whitlow, and Patricia May Ververs. "Characterization of Changes in Electrophysiological Activity in an Operational Environment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 12 (2005): 1177–81. http://dx.doi.org/10.1177/154193120504901217.

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The purpose of this study is to characterize differences in EEG collected under stationary conditions and that collected in mobile settings. EEG activity has not been evaluated in operational settings due to difficulties associated with processing of EEG in real-world settings such as real-time removal of artifacts, operational environments, and possible differences in EEG frequency associated with mobility. Utilization of EEG measures of cognitive activity in dynamic environments demands the use of real-time algorithms of signal decontamination and characterization of specific components of E

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39

Thompson, J. C., K. Tzambazis, C. Stough, A. Pipingas, P. Nathan, and R. B. Silberstein. "Changes to prefrontal electrophysiological activity during enhanced attention following nicotine." European Neuropsychopharmacology 9 (September 1999): 356. http://dx.doi.org/10.1016/s0924-977x(99)80539-2.

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40

Bruno, Valentina, Irene Ronga, Carlotta Fossataro, Mattia Galigani, Katiuscia Sacco, and Francesca Garbarini. "Long-term limb immobilization modulates inhibition-related electrophysiological brain activity." NeuroImage 218 (September 2020): 116911. http://dx.doi.org/10.1016/j.neuroimage.2020.116911.

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41

Berdondini, L., P. D. van der Wal, O. Guenat, et al. "High-density electrode array for imaging in vitro electrophysiological activity." Biosensors and Bioelectronics 21, no. 1 (2005): 167–74. http://dx.doi.org/10.1016/j.bios.2004.08.011.

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42

Bell, J., Paula C. Bickford-Wimer, René de la Garza, M. Egan, and R. Freedman. "Increased central noradrenergic activity during benzodiazepine withdrawal: An electrophysiological study." Neuropharmacology 27, no. 11 (1988): 1187–90. http://dx.doi.org/10.1016/0028-3908(88)90016-0.

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43

Fabricius, Katrine, Lone Helboe, Anders Fink-Jensen, Gitta Wörtwein, Björn Steiniger-Brach, and Florence Sotty. "Increased dopaminergic activity in socially isolated rats: An electrophysiological study." Neuroscience Letters 482, no. 2 (2010): 117–22. http://dx.doi.org/10.1016/j.neulet.2010.07.014.

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44

Brennan, T., M. Fink, and B. Rodriguez. "Multiscale modelling of drug-induced effects on cardiac electrophysiological activity." European Journal of Pharmaceutical Sciences 36, no. 1 (2009): 62–77. http://dx.doi.org/10.1016/j.ejps.2008.09.013.

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45

Konenkov, V. I., L. N. Rachkovskaya, A. Yu Letyagin, et al. "Effect of Lithium Preparations on Cerebral Electrophysiological Activity in Rats." Bulletin of Experimental Biology and Medicine 165, no. 4 (2018): 470–73. http://dx.doi.org/10.1007/s10517-018-4196-5.

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46

Costa, Laura, James E. Arruda, Robert A. Stern, Jessica A. Somerville, and Dominic Valentino. "Asymptomatic HIV-Infected Women: Preliminary Study of Quantitative EEG Activity and Performance on a Continuous Performance Test." Perceptual and Motor Skills 85, no. 3_suppl (1997): 1395–408. http://dx.doi.org/10.2466/pms.1997.85.3f.1395.

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Several studies have examined the electrophysiological correlates of human immunodeficiency virus (HIV) infection in medically asymptomatic men. Although the rates of HIV infection are increasing at a greater rate in women than men, there have been no publications to date of electrophysiological functioning in HIV-infected women. In the present study, quantitative electroencephalographic (qEEG) activity was measured in 22 women (11 asymptomatic HIV-seropositive and 11 HIV-seronegative) utilizing a procedure comprised of three auditory continuous performance tests and a set of qEEG components d

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47

Margis, Regina, Suzana Veiga Schönwald, Diego Zaquera Carvalho, Günther J. L. Gerhardt, and Carlos R. M. Rieder. "NREM sleep alpha and sigma activity in Parkinson’s disease: Evidence for conflicting electrophysiological activity?" Clinical Neurophysiology 126, no. 5 (2015): 951–58. http://dx.doi.org/10.1016/j.clinph.2014.07.034.

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48

Korupolu, Radha, Argyrios Stampas, Mani Singh, Ping Zhou, and Gerard Francisco. "Electrophysiological Outcome Measures in Spinal Cord Injury Clinical Trials: A Systematic Review." Topics in Spinal Cord Injury Rehabilitation 25, no. 4 (2019): 340–54. http://dx.doi.org/10.1310/sci2504-340.

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Background: Electrophysiological measures are being increasingly utilized due to their ability to provide objective measurements with minimal bias and to detect subtle changes with quantitative data on neural function. Heterogeneous reporting of trial outcomes limits effective interstudy comparison and optimization of treatment. Objective: The objective of this systematic review is to describe the reporting of electrophysiological outcome measures in spinal cord injury (SCI) clinical trials in order to inform a subsequent consensus study. Methods: A systematic search of PubMed and EMBASE datab

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49

Cooke, I. M. "Electrophysiological characterization of peptidergic neurosecretory terminals." Journal of Experimental Biology 118, no. 1 (1985): 1–35. http://dx.doi.org/10.1242/jeb.118.1.1.

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Electrical activity recorded intracellularly from peptidergic neurosecretory terminal dilatations in the sinus gland of crabs (principally Cardisoma guanhumi and C. carnifex) is described. Recordings were made from the neurohaemal organ in situ on the neural tissue of the isolated eyestalk and from isolated sinus gland-sinus gland nerve preparations. Verification that electrodes penetrated terminals was obtained by dye marking. Resting potentials ranged between −30 and −80mV. Overshooting action potentials of long duration (5–20 ms at 1/2 amplitude) relative to those of non-secretory axons (le

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50

Okatan, Esma N., Aysegul Toy Durak, and Belma Turan. "Electrophysiological basis of metabolic-syndrome-induced cardiac dysfunction." Canadian Journal of Physiology and Pharmacology 94, no. 10 (2016): 1064–73. http://dx.doi.org/10.1139/cjpp-2015-0531.

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Myocardial contractility is controlled by intracellular Ca2+ cycling with the contribution of sarcoplasmic reticulum (SR). In this study, we aimed to investigate the role of altered SR function in defective regulation of intracellular Ca2+ levels in rats with metabolic syndrome (MetS) induced by a 16-week high-sucrose drinking-water diet. Electric-field stimulated transient intracellular Ca2+ changes in MetS cardiomyocytes exhibited significantly reduced amplitude (∼30%) and prolonged time courses (2-fold), as well as depressed SR Ca2+ loading (∼55%) with increased basal Ca2+ level. Consistent

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