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Books on the topic 'Electroencephalography (EEG)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 March 2025

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1

R, Hughes John. EEG in clinical practice. 2nd ed. Boston: Butterworth-Heinemann, 1994.

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2

Erlichman, Martin. Electroencephalographic (EEG) video monitoring. Rockville, MD: U.S. Dept. of Health and Human Services, Public Health Service, Agency for Health Care Policy and Research, 1990.

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3

Fisch, Bruce J. Fisch and Spehlmann's EEG primer: Basic principles of digital and analog EEG. 3rd ed. Amsterdam: Elsevier, 1999.

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4

1933-, Zschocke S., and Speckmann Erwin-Josef, eds. Basic mechanisms of the EEG. Boston: Birkhäuser, 1993.

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5

Rajna, P. The EEG atlas of adulthood epilepsy. [Budapest]: Innomark, 1990.

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6

Laoprasert, Pramote. Atlas of pediatric EEG. New York: McGraw-Hill Companies, Inc., 2011.

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7

International Workshop on Statistics and Topographic Problems in Quantitative EEG. (1988 Rouen, France). Statistics and topography in quantitative EEG: Proceedings of the International Workshop on Statistics and Topographic Problems in Quantitative EEG, Rouen, France, March 6-9, 1988. Edited by Samson-Dollfus D. Amsterdam: Elsevier, 1988.

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8

M, Rother, and Zwiener Ulrich, eds. Quantitative EEG analysis: Clinical utility and new methods. Jena: Universitätsverlag Jena, 1993.

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9

Abou-Khalil, Bassel. Atlas of EEG & seizure semiology. Philadelphia: Butterworth-Heinemann/Elsevier, 2006.

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10

LaRoche, Suzette. Handbook of ICU EEG monitoring. New York, NY: Demos Medical Pub., 2013.

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11

Tong, Shanbao. Quantitative EEG analysis methods and clinical applications. Boston: Artech House, 2009.

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12

Mecklinger, Axel. Gedächtnissuchprozesse: Eine Analyse ereigniskorrelierter Potentiale und der EEG-Spontanaktivität. Weinheim: Psychologie Verlags Union, 1992.

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13

Prior, Pamela F. Monitoring cerebral function: Long-term monitoring of EEG and evoked potentials. 2nd ed. Amsterdam: Elsevier, 1986.

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14

Stern, John M., and Joseph I. Sirven. Atlas of video-EEG monitoring. New York: McGraw-Hill, 2011.

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15

Genquan, Feng. EKG and EEG multiphase information analysis. [New York]: American Medical Publishers, 1992.

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16

Lüders, Hans O., Soheyl Noachtar, and Jan Rémi. Electroencephalography. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/med/9780197502334.001.0001.

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Abstract This book is an instructional textbook and reference atlas, serving as an instruction guide for the beginner in electroencephalography and as a reference atlas for the experienced electroencephalogram (EEG) reader. It provides a highly systematic guide of the process of understanding and interpreting EEG. The book systematically describes abnormal EEG findings and their differentiation from normal variants, which may imitate the abnormal EEG patterns. It provides normal and abnormal EEG patterns in a structured classification based on more than 400 figures. All EEG examples shown in the book are available electronically in reformatted EEG montages. This allows the reader a completely new approach to EEG interpretation that follows the routine of EEG reading with digital EEG machines.

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17

Goldensohn, Eli S. Eeg Interpretation. Wiley & Sons, Incorporated, John, 1997.

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18

Schomer, Donald L., and Fernando H. Lopes da Silva, eds. Niedermeyer's Electroencephalography. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.001.0001.

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This book deals with the field of Electroencephalography in the widest possible sense, from the cellular foundations of the electric activities of the brain to a vast number of clinical applications. The basic science sections were up-dated to include advanced computer modeling approaches. The chapters on normal and pathological EEG findings in premature infants, newborns and children were thoroughly revised to keep up with the advances that have taken place recently in studying brain developmental issues. Major advances have taken place in neurophysiological findings in a variety of neurodegenerative disorders, which led to thoroughly revised chapters. Other rapidly changing subjects related to EEG recording/monitoring in ICU's, EMUs, and operating rooms, in patients with epilepsy, head injuries, infectious disorders and those undergoing surgical procedures, led to radically updating a number of chapters and to the addition of a chapter dedicated to invasive recordings for the treatment of patients with movement disorders. A previously missing chapter on the neurophysiology of myoclonus was added. Chapters that deal with automated EEG interpretation techniques and with standardizing EEG reporting using ILAE/IFCN approved terminology, were also added. Many chapters in the on-line version of the book will have the ability to link to a database of over 150 complete EEGs that cover the scope seen in a general EEG Lab. This link will allow the reader to manipulate the EEG display parameters as if they were in their own lab, generate a report and compare it to one generated by a panel of senior EEGers.

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19

Koutroumanidis, Michalis, Dimitrios Sakellariou, and Vasiliki Tsirka. Electroencephalography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0011.

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This chapter concentrates on essential technical aspects of the electroencephalogram (EEG) and its role in the clinical and aetiological diagnosis of people with epilepsy. The technical subsection explores important stages of the largely ‘mystifying’ process from the generation of the abnormal signals in the brain to their final visualization on the screen, including digitalization of the signal and sampling rate, montages, and derivations, focusing on their clinical relevance. The second part reviews the behavioural attributes of the interictal and ictal discharges in the different epilepsy types and syndromes, discusses the optimal use of activation methods, including sleep deprivation and sleep, hyperventilation, photic, and other specific stimulation, and describes specific diagnostic tools like polygraphy and cognitive assessment during apparently subclinical discharges. It also discusses aspects of the clinical EEG interpretation and reporting and delineates indications and limitations of the EEG.

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20

Nundy, Amitabh. Neuroscience EEG Atlas. Jaypee Brothers Medical Publishers, 2015.

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21

IV, Tatum William, and William Tatum. Handbook of EEG Interpretation. Springer Publishing Company, Incorporated, 2014.

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22

IV, Tatum William, Selim R. Benbadis, Peter W. Kaplan, and Aatif M. Husain. Handbook of EEG Interpretation. Springer Publishing Company, Incorporated, 2008.

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23

Husain, Aatif, Selim Benbadis, and William Tatum. Handbook of Eeg Interpretation. Springer Publishing Company, Incorporated, 2010.

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24

Gaetz, Michael B., and Kelly J. Jantzen. Electroencephalography. Edited by Ruben Echemendia and Grant L. Iverson. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199896585.013.006.

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Axonal injury is currently considered to be the structural substrate behind most concussion-related neurological dysfunction. Because the principal generators of EEG fields are graded excitatory and inhibitory synaptic potentials of pyramidal neurons, the EEG is well suited for characterizing large-scale functional disruptions associated with concussion induced metabolic and neurochemical changes, and for connecting those disruptions to deficits in behavior and cognition. This essay provides an overview of the use of EEG and newly developed analytical procedures for the measurement of functional impairment related to sport concussion. Elevations in delta and theta activity can be expected in a percentage of athletes and change in asymmetry and coherence may also be present. Newer techniques are likely to be of critical importance for understanding the anatomical and physiological basis of cognitive deficits and may provide additional insight into susceptibility to future injury. Computational modeling may advance our understanding of concussion.

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25

Sanei, Saeid, and Jonathon A. Chambers. EEG Signal Processing. Wiley & Sons, Incorporated, John, 2013.

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26

Chambers, Jonathon, and Saeid Sanei. Eeg Signal Processing. John Wiley & Sons Inc, 2007.

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27

(Editor), Steven C. Schachter, Donald L. Schomer (Editor), and Bernard S. Chang (Editor), eds. Atlas of Ambulatory EEG. Academic Press, 2005.

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28

Sutter, Raoul, Peter W. Kaplan, and Donald L. Schomer. Historical Aspects of Electroencephalography. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0001.

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Electroencephalography (EEG), a dynamic real-time recording of electrical neocortical brain activity, began in the 1600s with the discovery of electrical phenomena and the concept of an “action current.” The galvanometer was introduced in the 1800s and the first bioelectrical observations of human brain signals were made in the 1900s. Certain EEG patterns were associated with brain disorders, increasing the clinical and scientific use of EEG. In the 1980s, technical advances allowed EEGs to be digitized and linked with videotape recording. In the 1990s, digital data storage increased and computer networking enabled remote real-time EEG reading, which made possible continuous EEG (cEEG) monitoring. Manual cEEG analysis became increasingly labor-intensive, calling for methods to assist this process. In the 2000s, complex algorithms enabling quantitative EEG analyses were introduced, with a new focus on shared activity between rhythms, including phase and magnitude synchrony. The automation of spectral analysis enabled studies of spectral content.

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29

Brenner, Richard, and Lawrence Hirsch. Atlas of EEG in Critical Care. Wiley & Sons, Incorporated, John, 2022.

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30

I. V. Do William Tatum. Handbook of Eeg Interpretation, 2nd Ed. Springer Publishing Company, Incorporated, 2014.

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31

Brenner, Richard, and Lawrence Hirsch. Atlas of EEG in Critical Care. Wiley & Sons, Incorporated, John, 2011.

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32

Brenner, Richard, and Lawrence Hirsch. Atlas of EEG in Critical Care. Wiley & Sons, Incorporated, John, 2010.

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33

Brenner, Richard, and Lawrence Hirsch. Atlas of EEG in Critical Care. Wiley & Sons, Incorporated, John, 2011.

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34

Hirsch. Atlas of Eeg in Critical Care. Wiley & Sons, Incorporated, John, 2022.

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35

Brenner, Richard, and Lawrence Hirsch. Atlas of EEG in Critical Care. Wiley & Sons, Limited, John, 2010.

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36

Brenner, Richard, and Lawrence Hirsch. Atlas of EEG in Critical Care. Wiley & Sons, Incorporated, John, 2022.

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37

Im, Chang-Hwan. Computational EEG Analysis: Methods and Applications. Springer, 2018.

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38

Atlas of EEG Patterns. LWW, 2013.

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39

Puce, Aina, and Riitta Hari. MEG-EEG Primer. Oxford University Press, 2017.

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40

Intraoperative monitoring.: EEG. Carroll, Iowa: American Society of Electroneurodiagnostic Technologists, 1996.

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41

Demos, John N. Getting Started with EEG Neurofeedback, Second Edition. Norton & Company, Incorporated, W. W., 2019.

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42

Crespel, Arielle, and Philippe Gelisse. Atlas of Electroencephalography: Awake and Sleep EEG. Editions John Libbey Eurotext, 2016.

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43

EEG Technician (C-1263). National Learning Corp, 2000.

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44

Tatum, William. Fundamentals of Ambulatory Eeg. Springer Publishing Company, Incorporated, 2017.

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45

Zschocke, St. Basic Mechanisms of the EEG. Springer, 2012.

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46

Zhang, Yanchun, Yan Li, and Siuly Siuly. EEG Signal Analysis and Classification: Techniques and Applications. Springer, 2018.

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47

Zhang, Yanchun, Yan Li, and Siuly Siuly. EEG Signal Analysis and Classification: Techniques and Applications. Springer, 2017.

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48

Zhang, Yanchun, Yan Li, and Siuly Siuly. EEG Signal Analysis and Classification: Techniques and Applications. Springer International Publishing AG, 2017.

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49

Pichlmayr, I. EEG Atlas for Anesthesiologists. Springer, 2011.

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50

Eeg Atlas for Anesthesiologists. Island Press, 1987.

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