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Transcranial magnetic stimulation and electroencephalography

Overview of attention for book
Transcranial magnetic stimulation and electroencephalography
Springer-Verlag

Table of Contents

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    Book Overview
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    Chapter 1 Acute Coma in the Intensive Care Unit
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    Chapter 2 Electroencephalography and Evoked Potentials: Technical Background
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    Chapter 3 Which EEG Patterns Deserve Treatment in the ICU?
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    Chapter 4 EEG in Refractory Status Epilepticus
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    Chapter 5 Prognostic Utility of Electroencephalogram in Acute Consciousness Impairment
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    Chapter 6 Prognostic Use of Somatosensory Evoked Potentials in Acute Consciousness Impairment
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    Chapter 7 Prognostic Use of Cognitive Event-Related Potentials in Acute Consciousness Impairment
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    Chapter 8 The Chronic Clinical Setting
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    Chapter 9 Event-Related Potentials in Disorders of Consciousness
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    Chapter 10 Transcranial Magnetic Stimulation and Electroencephalography
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    Chapter 11 Brain-Computer Interface for Assessing Consciousness in Severely Brain-Injured Patients
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    Chapter 12 Clinical Neurophysiology in Disorders of Consciousness
Attention for Chapter 9: Event-Related Potentials in Disorders of Consciousness
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Chapter title
Event-Related Potentials in Disorders of Consciousness
Chapter number 9
Book title
Clinical Neurophysiology in Disorders of Consciousness
Published by
Springer Vienna, January 2015
DOI 10.1007/978-3-7091-1634-0_9
Book ISBNs
978-3-70-911633-3, 978-3-70-911634-0
Authors

Boris Kotchoubey, Kotchoubey, Boris

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Researcher 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Medicine and Dentistry 2 18%
Neuroscience 2 18%
Computer Science 1 9%
Unknown 3 27%

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