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Thematische Bibliographien / Neurophysiology / Zeitschriftenartikel

Zeitschriftenartikel zum Thema „Neurophysiology“

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Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 1. Juni 2024

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1

Aseyev, N. A. „COLOR PERCEPTION AND ITS CODING IN SIMIAN NEOCORTEX“. Журнал высшей нервной деятельности им. И.П. Павлова 73, Nr. 1 (01.01.2023): 62–75. http://dx.doi.org/10.31857/s0044467723010045.

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Perception of color by human and nonhuman primates is a complex problem, which is studied not only by neurophysiology, but also by neighboring fields of science such as psychophysiology, psycholinguistics, and even philosophy. With neurophysiology as a starting point, I review contributions of adjacent fields in understanding of the primates’ color space encoding. All known at the moment neurophysiologic mechanisms of color perception by primates are reviewed and a hypothetical way of color stimuli processing is proposed, suggesting at a final stage involvement of conceptual (gnostic) neurons encoding only colors of visual stimuli.

2

di Biase, Lazzaro, Alessandro Di Santo, Maria Letizia Caminiti, Pasquale Maria Pecoraro, Simona Paola Carbone und Vincenzo Di Lazzaro. „Dystonia Diagnosis: Clinical Neurophysiology and Genetics“. Journal of Clinical Medicine 11, Nr. 14 (19.07.2022): 4184. http://dx.doi.org/10.3390/jcm11144184.

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Dystonia diagnosis is based on clinical examination performed by a neurologist with expertise in movement disorders. Clues that indicate the diagnosis of a movement disorder such as dystonia are dystonic movements, dystonic postures, and three additional physical signs (mirror dystonia, overflow dystonia, and geste antagonists/sensory tricks). Despite advances in research, there is no diagnostic test with a high level of accuracy for the dystonia diagnosis. Clinical neurophysiology and genetics might support the clinician in the diagnostic process. Neurophysiology played a role in untangling dystonia pathophysiology, demonstrating characteristic reduction in inhibition of central motor circuits and alterations in the somatosensory system. The neurophysiologic measure with the greatest evidence in identifying patients affected by dystonia is the somatosensory temporal discrimination threshold (STDT). Other parameters need further confirmations and more solid evidence to be considered as support for the dystonia diagnosis. Genetic testing should be guided by characteristics such as age at onset, body distribution, associated features, and coexistence of other movement disorders (parkinsonism, myoclonus, and other hyperkinesia). The aim of the present review is to summarize the state of the art regarding dystonia diagnosis focusing on the role of neurophysiology and genetic testing.

3

Acharya, Jayant N. „Neurophysiology“. Journal of Clinical Neurophysiology 14, Nr. 2 (März 1997): 154. http://dx.doi.org/10.1097/00004691-199703000-00009.

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4

Salt, Tom. „Neurophysiology“. Neuroscience 124, Nr. 2 (Januar 2004): 489–90. http://dx.doi.org/10.1016/j.neuroscience.2003.11.020.

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5

Fuller, G. „Neurophysiology“. Journal of Neurology, Neurosurgery & Psychiatry 76, suppl_2 (01.06.2005): ii1. http://dx.doi.org/10.1136/jnnp.2005.069351.

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6

Rogawski, Michael A. „Neurophysiology“. Current Protocols in Neuroscience 37, Nr. 1 (Oktober 2006): 6.0.1–6.0.7. http://dx.doi.org/10.1002/0471142301.ns0600s37.

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7

Lenzi, Jacopo, Giulio Anichini, Alessandro Landi, Alfonso Piciocchi, Emiliano Passacantilli, Francesca Pedace, Roberto Delfini und Antonio Santoro. „Spinal Nerves Schwannomas: Experience on 367 Cases—Historic Overview on How Clinical, Radiological, and Surgical Practices Have Changed over a Course of 60 Years“. Neurology Research International 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/3568359.

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Background.Spinal schwannomas are common benign spinal tumors. Their treatment has significantly evolved over the years, and preserving neurological functions has become one of the main treatment goals together with tumor resection.Study Design and Aims.Retrospective review focused on clinical assessment, treatment techniques, and outcomes.Methods.A retrospective study on our surgical series was performed. Clinical and operative data were analyzed. In regard to neurophysiologic monitoring, patients were retrospectively divided into two groups comparing the outcomes before and after introduction of routine intraoperative neurophysiology tests.Results.From 1951 to 2010, 367 patients overall were treated. Diagnosis was obtained using angiography and/or myelography (pre-CT era), MRI, or CT scan. A posterior spinal approach was used for most patients; complex approaches were adopted for treatment of giant/dumbbell tumors. A trend of neurophysiology monitoring decreasing the rate of post-op neurological deficits was observed but was not statistically significant enough to draft evidence-based conclusions.Conclusions.Clinical and radiological assessment of spinal schwannomas has markedly changed over the course of 50 years. Diagnostic tools have improved, and detection of recurrence has become way more sensitive. Neurophysiologic monitoring has become a useful intraoperative tool to guide resection and prevent post-op neurological impairment.

8

Eisen, Andrew. „Clinical Neurophysiology“. Mayo Clinic Proceedings 71, Nr. 12 (Dezember 1996): 1214–15. http://dx.doi.org/10.4065/71.12.1214-b.

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9

Murray, N. „Applied Neurophysiology“. Journal of Neurology, Neurosurgery & Psychiatry 52, Nr. 1 (01.01.1989): 151. http://dx.doi.org/10.1136/jnnp.52.1.151-a.

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10

Kennett, Robin P. „Clinical neurophysiology“. Medicine 32, Nr. 9 (September 2004): 39–43. http://dx.doi.org/10.1383/medc.32.9.39.49911.

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11

Mallik, A. „Clinical neurophysiology“. BMJ 326, Nr. 7400 (29.05.2003): 183s—183. http://dx.doi.org/10.1136/bmj.326.7400.s183.

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12

Møller, Aage R. „Auditory Neurophysiology“. Journal of Clinical Neurophysiology 11, Nr. 3 (Mai 1994): 284–308. http://dx.doi.org/10.1097/00004691-199405000-00002.

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13

Cull, Roger E. „Clinical neurophysiology“. Neuromuscular Disorders 7, Nr. 2 (März 1997): 139. http://dx.doi.org/10.1016/s0960-8966(97)00436-7.

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14

Boniface, S. „Clinical Neurophysiology“. Journal of Neurology, Neurosurgery & Psychiatry 60, Nr. 4 (01.04.1996): 467. http://dx.doi.org/10.1136/jnnp.60.4.467.

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15

Foldvary, Nancy. „Clinical Neurophysiology“. Journal of Clinical Neurophysiology 13, Nr. 6 (November 1996): 531. http://dx.doi.org/10.1097/00004691-199611000-00009.

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16

Grunau, R., J. Weinberg und M. Whitfield. „Clinical neurophysiology“. Journal of Pain 5, Nr. 3 (April 2004): S20. http://dx.doi.org/10.1016/j.jpain.2004.02.048.

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17

Tennant, F. „Clinical neurophysiology“. Journal of Pain 5, Nr. 3 (April 2004): S21. http://dx.doi.org/10.1016/j.jpain.2004.02.049.

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18

Blouin, J., P. Corbeil und N. Teasdale. „Clinical neurophysiology“. Journal of Pain 5, Nr. 3 (April 2004): S21. http://dx.doi.org/10.1016/j.jpain.2004.02.051.

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19

Kennett, Robin P. „Clinical neurophysiology“. Medicine 36, Nr. 10 (Oktober 2008): 556–61. http://dx.doi.org/10.1016/j.mpmed.2008.07.015.

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20

Kennett, Robin P. „Clinical neurophysiology“. Medicine 40, Nr. 8 (August 2012): 453–58. http://dx.doi.org/10.1016/j.mpmed.2012.05.007.

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21

Kennett, Robin P., und Sidra Aurangzeb. „Clinical neurophysiology“. Medicine 44, Nr. 8 (August 2016): 499–503. http://dx.doi.org/10.1016/j.mpmed.2016.05.004.

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22

Fowle, Adrian J. „Clinical neurophysiology“. Medicine 48, Nr. 8 (August 2020): 550–54. http://dx.doi.org/10.1016/j.mpmed.2020.05.002.

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23

Tobimatsu, S. „Neurophysiology CNS“. Journal of the Neurological Sciences 381 (Oktober 2017): 26. http://dx.doi.org/10.1016/j.jns.2017.08.115.

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24

Nobuo, K. „Neurophysiology PNS“. Journal of the Neurological Sciences 381 (Oktober 2017): 26. http://dx.doi.org/10.1016/j.jns.2017.08.116.

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25

Nuwer, Marc R. „Intraoperative Neurophysiology“. Journal of Clinical Neurophysiology 36, Nr. 5 (September 2019): 392. http://dx.doi.org/10.1097/wnp.0000000000000548.

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26

Saria, Hussaina Y. „Intraoperative Neurophysiology“. Journal of Clinical Neurophysiology 29, Nr. 5 (Oktober 2012): 479. http://dx.doi.org/10.1097/wnp.0b013e31826c9b3e.

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27

Shafi, S., und P. Bourque. „Neurophysiology (EMG)“. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 42, S1 (Mai 2015): S37—S38. http://dx.doi.org/10.1017/cjn.2015.172.

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Background: Nail-patella syndrome (NPS) is an inherited autosomal dominant disease, with an incidence of approximately 1 in 50,000. It ischaracterized by nail dysplasia, hypoplastic patellae, other bone deformities and open angle glaucoma. The phenotype is variable. Methods: Case report Results: A 66 year old male presented with complaints of mild loss of sensation in both feet with gradual proximal spread to his knees over the past decade. There was no history of pain, paresthesias, autonomic dysfunction or weakness. Examination showed pectus excavatum with symmetrically dystrophic fingernails. Sensation to crude touch, pain and temperature were reduced up to mid shin, and vibration sense was diminished till the malleoli symmetrically. Electrophysiologic studies revealed a mild to moderate length-dependent polyneuropathy of axonal type. Detailed blood screening studies were negative. Genetic testing revealed the diagnosis of nail-patella syndrome with LMX1B gene mutation on chromosome 9q34. The lack of an identifiable acquired cause and the symmetric, slowly progressive and “painless” nature of the patient’s peripheral neuropathy point toward an inherited etiology. Conclusion: We present a case of slowly progressive sensorimotor axonal polyneuropathy in a patient with a diagnosis of NPS, which has not been previously reported. Peripheral nervous system disorder may be a variable phenotypic manifestation of LMX1B gene mutation.

28

Lang, ST, B. Goodyear, J. Kelly und P. Federico. „Neurophysiology (fMRI)“. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 42, S1 (Mai 2015): S38. http://dx.doi.org/10.1017/cjn.2015.173.

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Background: Resting state functional MRI (rs-fMRI) provides many advantages to task-based fMRI in neurosurgical populations, foremost of which is the lack of the need to perform a task. Many networks can be identified by rs-fMRI in a single period of scanning. Despite the advantages, there is a paucity of literature on rs-fMRI in neurosurgical populations. Methods: Eight patients with tumours near areas traditionally considered as eloquent cortex participated in a five minute rs-fMRI scan. Resting-state fMRI data underwent Independent Component Analysis (ICA) using the Multivariate Exploratory Linear Optimized Decomposition into Independent Components (MELODIC) toolbox in FSL. Resting state networks (RSNs) were identified on a visual basis. Results: Several RSNs, including language (N=7), sensorimotor (N=7), visual (N=7), default mode network (N=8) and frontoparietal attentional control (n=7) networks were readily identifiable using ICA of rs-fMRI data. Conclusion: These pilot data suggest that ICA applied to rs-fMRI data can be used to identify motor and language networks in patients with brain tumours. We have also shown that RSNs associated with cognitive functioning, including the default mode network and the frontoparietal attentional control network can be identified in individual subjects with brain tumours. While preliminary, this suggests that rs-fMRI may be used pre-operatively to localize areas of cortex important for higher order cognitive functioning.

29

Tranquillo, Joseph V. „Quantitative Neurophysiology“. Synthesis Lectures on Biomedical Engineering 3, Nr. 1 (Januar 2008): 1–142. http://dx.doi.org/10.2200/s00125ed1v01y200808bme021.

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30

Jellinger, K. A. „Clinical Neurophysiology“. European Journal of Neurology 10, Nr. 3 (Mai 2003): 336–37. http://dx.doi.org/10.1046/j.1468-1331.2003.00566.x.

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31

Wingate, D. „Gastrointestinal neurophysiology“. Gut 30, Nr. 2 (01.02.1989): 281–82. http://dx.doi.org/10.1136/gut.30.2.281-a.

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32

Chiappa, K. H., und R. R. Young. „Clinical Neurophysiology“. Archives of Neurology 54, Nr. 9 (01.09.1997): 1067. http://dx.doi.org/10.1001/archneur.1997.00550210009005.

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33

Kuruvilla, Abraham. „Clinical neurophysiology“. Annals of Indian Academy of Neurology 10, Nr. 1 (2007): 63. http://dx.doi.org/10.4103/0972-2327.31492.

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34

Mansukhani, KA. „Clinical neurophysiology“. Annals of Indian Academy of Neurology 17, Nr. 1 (2014): 144. http://dx.doi.org/10.4103/0972-2327.128603.

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35

Loula, P., E. Rauhala, M. Erkinjuntti, E. Raty, K. Hirvonen und V. Hakkinen. „Distributed clinical neurophysiology“. Journal of Telemedicine and Telecare 3, Nr. 2 (01.06.1997): 89–95. http://dx.doi.org/10.1258/1357633971930922.

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We have developed a consultation forum for clinical neurophysiology in Finland. The system connects local digital electroencephalography EEG recording and analysing networks using a high-speed asynchronous transfer mode ATM network. Clinicians can obtain a second opinion using interactive data and video consultations or using data-only consultations. In addition, the system can be used for off-line review of prerecorded data. During a one-month evaluation, 66 EEG recordings were made altogether in Satakunta Central Hospital and consultations were required on 12 occasions. Nine of them were data-only consultations and three were data and video consultations. A data consultation lasted 15-20 min and a data and video consultation 35-45 min. Clinically, there were numerous benefits for the hospitals. The system established a link to a centre of excellence for second opinions or continuing education. It also helped with on-duty arrangements and enabled the construction of national data banks.

36

Kuntz, N. „PEDIATRIC CLINICAL NEUROPHYSIOLOGY“. Neurology 72, Nr. 1 (02.01.2009): 102. http://dx.doi.org/10.1212/01.wnl.0000338601.81085.f1.

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37

Cabioglu, Mehmet Tugrul, und H. Selcuk Surucu. „Acupuncture and Neurophysiology“. Medical Acupuncture 21, Nr. 1 (März 2009): 13–20. http://dx.doi.org/10.1089/acu.2009.0638.

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38

Nikitin, O. L., V. F. Pyatin, N. P. Romanchuk, A. N. Volobuev, I. I. Sirotko, D. P. Kurmaev und I. L. Davidkin. „NEUROPHYSIOLOGY OF AGING“. Journal of scientific articles "Health and Education millennium" 19, Nr. 12 (30.12.2017): 246–51. http://dx.doi.org/10.26787/nydha-2226-7425-2017-19-12-246-251.

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39

Rothwell, J. „Basic Human Neurophysiology“. Journal of Neurology, Neurosurgery & Psychiatry 48, Nr. 7 (01.07.1985): 728. http://dx.doi.org/10.1136/jnnp.48.7.728-a.

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40

Smith, Michael. „Neurophysiology of Aging“. Seminars in Neurology 9, Nr. 01 (März 1989): 68–81. http://dx.doi.org/10.1055/s-2008-1041307.

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41

„NEUROPHYSIOLOGIE CLINIQUE CLINICAL NEUROPHYSIOLOGY“. Neurophysiologie Clinique 53, Nr. 2 (April 2023): 102867. http://dx.doi.org/10.1016/s0987-7053(23)00024-2.

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42

„Weiterbildung, Tagungen, Kongresse“. Klinische Neurophysiologie 51, Nr. 02 (Juni 2020): 105. http://dx.doi.org/10.1055/a-1100-2231.

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Jahrestagung der Schweizerischen Gesellschaft für klinische Neurophysiologie (SGKN) / 38th Annual Meeting of the Swiss Society of Clinical Neurophysiology 18. Juni 2020 Kultur- und Kongresshaus Aarau, Schlossplatz 9, 5000 Aarau Registrierung und Programm: www.sgkn-congress.ch

43

„Neurophysiology“. Journal of Physiology 480, suppl (01.09.1994): 67–73. http://dx.doi.org/10.1113/jphysiol.1994.sp020397.

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44

„Neurophysiology“. Journal of Physiology 523, suppl (Februar 2000). http://dx.doi.org/10.1111/j.1469-7793.2000.tb00209.x.

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45

Rogowski, Michael A. „Neurophysiology“. Current Protocols in Neuroscience 25, Nr. 1 (Oktober 2003). http://dx.doi.org/10.1002/0471142301.ns0600s25.

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46

Rogawski, Michael A. „Neurophysiology“. Current Protocols in Neuroscience 29, Nr. 1 (Oktober 2004). http://dx.doi.org/10.1002/0471142301.ns0600s29.

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47

Rogawski, Michael A. „Neurophysiology“. Current Protocols in Neuroscience 38, Nr. 1 (Januar 2007). http://dx.doi.org/10.1002/0471142301.ns0600s38.

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48

Piedimonte, Alessandro. „The Neurophysiology of Placebo Effect“. Clinical Pathology & Research Journal 2, Nr. 1 (2018). http://dx.doi.org/10.23880/cprj-16000108.

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49

„Neurophysiology: Abstracts“. Stereotactic and Functional Neurosurgery 68, Nr. 1-4 (1997): 243–44. http://dx.doi.org/10.1159/000099932.

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50

Nuwer, Marc R. „Intraoperative Neurophysiology“. Journal of Clinical Neurophysiology, November 2018, 1. http://dx.doi.org/10.1097/00004691-900000000-99502.

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