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Books on the topic 'Evoked potentials, Visual'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Evoked potential primer: Visual, auditory, and somatosensory evoked potentials in clinical diagnosis. Boston: Butterworth, 1985.

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2

Chang, Corina Yee-Mei. Analysis of infant visual evoked potentials. Ottawa: National Library of Canada, 1993.

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3

Spehlmann, Rainer. Evoked potential primer: Visual, auditory, and somatosensory evoked potentials in clinical diagnosis. Boston: Butterworth, 1985.

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4

1931-, Spehlmann Rainer, ed. Spehlmann's evoked potential primer: Visual, auditory, and somatosensory evoked potentials in clinical diagnosis. 2nd ed. Boston: Butterworth-Heinemann, 1994.

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5

Flanagan, John Gerard. Automated assessment of visual fields and their inter-relation to evoked potentials in visual disorders. Birmingham: University of Aston. Department of Vision Sciences, 1985.

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6

Robson, A. G. Blue/yellow visual evoked potentials and the limitations of flat-screen stimulation. Manchester: UMIST, 1995.

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7

Samuel, Sokol, ed. Electrophysiologic testing in disorders of the retina, optic nerve, and visual pathway. San Francisco, CA: American Academy of Ophthalmology, 1990.

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8

Padhiar, Sanjita. Study of the cholinergic factors affecting the flash and pattern reversal visual evoked potentials. Birmingham: Aston University. Department of Vision Sciences, 1993.

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9

Morong, Sharon Elizabeth. Sweep visual evoked potentials in children with west syndrome before and during vigabatrin treatment. Ottawa: National Library of Canada, 2003.

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10

NATO Advanced Research Workshop on Advances in Understanding Visual Processes: Convergence of Neurophysiological and Psychophysical Evidence (1990 Røros, Norway). From pigments to perception: Advances in understanding visual processes. New York: Plenum Press, 1991.

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11

Prasher, V. P. The role of visual evoked potentials in the diagnosis of dementia in the down syndrome population. Birmingham: University of Birmingham, 1992.

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12

Crutchfield, Susan Ramsey. Contiguous visual and brain stem auditory evoked potential recordings of premature infants. Birmingham: University of Aston. Department of Vision Sciences, 1985.

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13

Russell, M. H. A. Visual evoked potential and psychophysical investigation of chromatic and achromatic visual function in humans; applications in the investigation of multiple sclerosis and. Manchester: UMIST, 1991.

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14

E, Desmedt John, ed. Visual evoked potentials. Amsterdam: Elsevier, 1990.

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15

Celesia, Gastone G., and Neal S. Peachey. Visual Evoked Potentials and Electroretinograms. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0041.

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Electrophysiological testing of vision permits the objective assessment of the function of the retina, visual pathways, and cortices. This chapter covers visual evoked potentials (VEPs) and electroretinography (ERG). Flash ERG is useful in evaluating the outer retinal function and specifically helping in the diagnosis of retinal degeneration, monitoring the progress of retinal diseases, monitoring the retinal toxicity of drugs, and understanding the pathophysiology of retinal disorders. VEPs to various stimuli are useful in evaluating macular disorders, diagnosing optic neuropathies, detecting silent pathologies in the absence of other clinical signs of visual impairment, and evaluating disturbances of visual processing in degenerative diseases of the central nervous system. Simultaneous recording of pattern ERG and pattern VEP permits the differentiation between maculopathies and optic neuropathy.

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16

Nuwer, Marc R. Evoked Potentials. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199341016.003.0009.

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Visual evoked potentials, brainstem auditory evoked potentials, and somatosensory evoked potentials are established clinical tests that are useful for the diagnosis of multiple sclerosis. Motor evoked potentials, cognitive event-related potentials, and vestibular evoked potentials also are used clinically to test additional pathways and functions. These objective, reproducible tools can identify clinically silent lesions, predict clinical deterioration risk, and localize levels of impairment. They differ from magnetic resonance imaging in that they assess function rather than anatomy and thereby fill a complementary role in clinical care. They also are useful in therapeutic trials because they can predict outcomes in parallel with, or earlier than, clinical examinations.

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17

Buchner, Helmut. Evoked potentials. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0015.

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Evoked potentials (EPs) occur in the peripheral and the central nervous system. The low amplitude signals are extracted from noise by averaging multiple time epochs time-locked to a sensory stimulus. The mechanisms of generation, the techniques for stimulation and recording are established. Clinical applications provide robust information to various questions. The importance of EPs is to measure precisely the conduction times within the stimulated sensory system. Visual evoked potentials to a pattern reversal checker board stimulus are commonly used to evaluate the optic nerve. Auditory evoked potentials following ‘click’ stimuli delivered by a headset are most often used to test the auditory nerve and for prognostication in comatose patients. Somatosensory evoked potentials to electrical stimulation of distal nerves evaluate the peripheral nerve and the lemniscal system, and have various indications from demyelinating diseases to the monitoring of operations and prognosis of comatose patients.

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18

Sapir-Pichhadze, Ruth. Motion visual evoked potentials and vergence in infantile esotropia. 2005.

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19

Spekreijse, H. Visual Pathways: Electrophysiology and Pathology. Springer, 2011.

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20

Cui, Jie. Adaptive chirplet transform for the analysis of visual evoked potentials. 2006.

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21

Spileers, W. A Study of the Neuronal Characteristics of Pattern Reversal Visual Evoked Cortical Potentials, with Special Focus on Contrast Modulated Steady State Visual Evoked Potentials. Leuven University Press, 1991.

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22

Mittal, Satish Kumar. Envelope correlation detector for estimating human visual acuity using evoked potentials. 1986.

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23

Advanced Signal Processing on Event-Related Potentials: Filtering Erps in Time, Frequency and Space Domains Sequentially and Simultaneously. World Scientific Publishing Co Pte Ltd, 2015.

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24

R, Heckenlively John, and Arden Geoffrey B, eds. Principles and practice of clinical electrophysiology of vision. St. Louis: Mosby Year Book, 1991.

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25

Lafoyiannis, Constantina. Chromatic visual evoked potentials in offspring of women with thyroid disease in pregnancy. 2007.

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26

1943-, Fishman Gerald Allen, ed. Electrophysiologic testing in disorders of the retina, optic nerve, and visual pathway. 2nd ed. San Francisco, CA: Foundation of the American Academy of Ophthalmology, 2001.

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27

Birch, David G., Graham E. Holder, Mitchell G. Brigell, and Gerald Allen Fishman. Electrophysiologic Testing in Disorders of the Retina, Optic Nerve, and Visual Pathway (Ophthalmology Monographs). 2nd ed. Oxford University Press, USA, 2003.

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28

Halpine, Stuart. Phase angle differences in visual evoked potentials: Do they affect estimates of the signal? 1991.

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29

Heckenlively, John R., and Geoffrey B. Arden. Principles and Practice of Clinical Electrophysiology of Vision. MIT Press, 2006.

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30

Heckenlively, John R., and Geoffrey B. Arden. Principles and Practice of Clinical Electrophysiology of Vision. MIT Press, 2006.

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31

Heckenlively, John R., and Geoffrey B. Arden. Principles and Practice of Clinical Electrophysiology of Vision. MIT Press, 2006.

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32

(Editor), John R. Heckenlively, and Geoffrey B. Arden (Editor), eds. Principles and Practice of Clinical Electrophysiology of Vision, 2nd Edition. 2nd ed. The MIT Press, 2006.

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33

(Editor), Wolfgang Becker, Heiner Deubel (Editor), and Thomas Mergner (Editor), eds. Current Oculomotor Research: Physiological and Psychological Aspects. Springer, 1999.

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34

-Ing, Becker Wolfgang Dr, Deubel Heiner, and European Conference on Eye Movements (9th : 1997 : Ulm, Germany), eds. Current oculomotor research: Physiological and psychological aspects. New York: Plenum Press, 1999.

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35

(Editor), Arne Valberg, and Barry B. Lee (Editor), eds. From Pigments to Perception:: Advances in Understanding the Visual Process (Nato Science Series: A:). Springer, 1991.

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36

Bullock and Basar. Induced Rhythms in the Brain. Birkhäuser, 2012.

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37

Erol, Basar, and Bullock Theodore Holmes, eds. Induced rhythms in the brain. Boston: Birkhäuser, 1991.

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38

Bullock and Basar. Rhythms in the Brain (Brain Dynamics). Birkhauser, 1992.

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39

Pfurtscheller, Gert, Clemens Brunner, and Christa Neuper. EEG-Based Brain–Computer Interfaces. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0047.

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A brain–computer interface (BCI) offers an alternative to natural communication and control by recording brain activity, processing it online, and producing control signals that reflect the user’s intent or the current user state. Therefore, a BCI provides a non-muscular communication channel that can be used to convey messages and commands without any muscle activity. This chapter presents information on the use of different electroencephalographic (EEG) features such as steady-state visual evoked potentials, P300 components, event-related desynchronization, or a combination of different EEG features and other physiological signals for EEG-based BCIs. This chapter also reviews motor imagery as a control strategy, discusses various training paradigms, and highlights the importance of feedback. It also discusses important clinical applications such as spelling systems, neuroprostheses, and rehabilitation after stroke. The chapter concludes with a discussion on different perspectives for the future of BCIs.

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40

Bega, Sivan. Is seizure onset related to visual deficits seen in pediatric epilepsy patients exposed to vigabatrin and can a visual evoked potential be used to follow vigabatrin therapy in this group? 2005.

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41

Schoenen, Jean, Valentin Bohotin, and Alain Maertens De Noordhout. Tms in Migraine. Edited by Charles M. Epstein, Eric M. Wassermann, and Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0024.

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Transcranial magnetic stimulation (TMS) has been used to search for cortical dysfunction in migraine. Both, the motor and the visual cortices have been explored in this area. This article reviews and discusses the results of the various studies performed in migraine patients with TMS of motor or visual cortices. The majority of evoked and event-related potential studies in migraine have shown two abnormalities: increased amplitude of grand averaged responses and lack of habituation in successive blocks of averaged responses with decreased amplitude in the first block. These abnormalities suggest that the excitability state of the cerebral cortex, particularly of the visual cortex, is abnormal in migraineurs between attacks. The use of TMS to assess motor and visual cortex excitability has yielded conflicting results, which could be due to methodological differences. Taken together, all studies indicate that the changes in cortical reactivity are more complex in migraineurs than initially thought and suggest that both larger multidisciplinary studies and focused analyses of subgroups of patients with more refined clinical phenotypes are necessary to disentangle the role of the cerebral cortex in migraine pathophysiology.

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42

Prasad, Girijesh. Brain–machine interfaces. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0049.

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A brain–machine interface (BMI) is a biohybrid system intended as an alternative communication channel for people suffering from severe motor impairments. A BMI can involve either invasively implanted electrodes or non-invasive imaging systems. The focus in this chapter is on non-invasive approaches; EEG-based BMI is the most widely investigated. Event-related de-synchronization/ synchronization (ERD/ERS) of sensorimotor rhythms (SMRs), P300, and steady-state visual evoked potential (SSVEP) are the three main cortical activation patterns used for designing an EEG-based BMI. A BMI involves multiple stages: brain data acquisition, pre-processing, feature extraction, and feature classification, along with a device to communicate or control with or without neurofeedback. Despite extensive research worldwide, there are still several challenges to be overcome in making BMI practical for daily use. One such is to account for non-stationary brainwaves dynamics. Also, some people may initially find it difficult to establish a reliable BMI with sufficient accuracy. BMI research, however, is progressing in two broad areas: replacing neuromuscular pathways and neurorehabilitation.

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43

Sicari, Rosa, Edyta Płońska-Gościniak, and Jorge Lowenstein. Stress echocardiography: image acquisition and modalities. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0013.

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Stress echocardiography has evolved over the last 30 years but image interpretation remains subjective and burdened by the operator’s experience. The objective operator-independent assessment of myocardial ischaemia during stress echocardiography remains a technological challenge. Still, adequate quality of two-dimensional images remains a prerequisite to successful quantitative analysis, even using Doppler and non-Doppler based techniques. No new technology has proved to have a higher diagnostic accuracy than conventional visual wall motion analysis. Tissue Doppler imaging and derivatives may reduce inter-observer variability, but still require a dedicated learning curve and special expertise. The development of contrast media in echocardiography has been slow. In the past decade, transpulmonary contrast agents have become commercially available for clinical use. The approved indication for the use of contrast echocardiography currently lies in improving endocardial border delineation in patients in whom adequate imaging is difficult or suboptimal. Real-time three-dimensional echocardiography is potentially useful but limited by low spatial and temporal resolution. It is possible that these technologies may serve as an adjunct to expert visual assessment of wall motion. At present, these quantitative methods require further validation and simplification of analysis techniques.

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