Imaging brain function with EEG: advanced temporal and spatial analysis of electroencephalographic signals
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York [u.a.]
Springer
2013
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | XXI, 248 S. Ill., graph. Darst. |
| ISBN: | 9781461449836 |
Staff View
MARC
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| 245 | 1 | 0 | |a Imaging brain function with EEG |b advanced temporal and spatial analysis of electroencephalographic signals |c Walter J. Freeman ; Rodrigo Quian Quiroga |
| 264 | 1 | |a New York [u.a.] |b Springer |c 2013 | |
| 300 | |a XXI, 248 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Elektroencephalographie |0 (DE-588)4014254-1 |2 gnd |9 rswk-swf |
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-4614-4984-3 |
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Record in the Search Index
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| adam_text | Contents
1
Electroencephalography
......................................................................... 1
1.1
Introduction
...................................................................................... 1
1.2 Brief
History of
EEG
....................................................................... 2
1.3
Recording
of EEG
Signals
............................................................... 5
1.3.1
Scalp
EEG
Recordings
......................................................... 5
1.3.2
Artifacts
................................................................................ 6
1.3.3
Intracranial Recordings
........................................................ 7
1.3.4
Electrocorticography
............................................................ 8
1.3.5
Local Field Potentials
........................................................... 9
1.4
Evoked Potentials
............................................................................. 9
1.4.1
Visual Evoked Potentials
...................................................... 10
1.4.2
Auditory Evoked Potentials
................................................. 11
1.4.3
Somatosensory Evoked Potentials
....................................... 11
1.5
Evoked Potentials and Cognition
..................................................... 11
1.5.1
Oddball Paradigm and the P300
........................................... 12
1.5.2
Mismatch Negativity (MMN)
.............................................. 13
1.5.3
Omitted Evoked Potentials
................................................... 13
1.5.4
Contingent Negative Variation
(CNV)
................................. 14
1.5.5 N400..................................................................................... 14
1.5.6
Error-related Negativity (ERN)
............................................ 14
1.6
Basic Analysis of Evoked Potentials
............................................... 14
1.6.1
Topography and Source Localization
................................... 16
1.6.2
Event-Related Oscillations
................................................... 16
References
................................................................................................. 17
2
Frequency Analysis
................................................................................. 21
2.1
Introduction
...................................................................................... 21
2.2
The Continuous Fourier Transform
................................................. 22
2.3
The Discrete Fourier Transform
....................................................... 23
2.4
Aliasing
............................................................................................ 24
nviii
Contents
2.5
Fast Fourier Transform
.................................................................. 25
2.6
Power Spectrum
............................................................................. 26
2.7
Leakage and Windowing
................................................................ 27
2.8
Variance of the Power Spectrum:
Periodogram
Averaging
............ 29
2.9
Practical Remarks for Estimating the Power Spectrum
of
EEG
Signals
............................................................................... 29
2.10
Applications of
EEG
Frequency Analysis
..................................... 31
2.10.1
EEG
Frequency Bands
..................................................... 31
2.10.2
Topographic Analysis
....................................................... 33
2.11
Summary
........................................................................................ 34
References
................................................................................................. 35
3
Time-Frequency Analysis
....................................................................... 37
3.1
Introduction
.................................................................................... 37
3.2
Short-Time Fourier Transform
....................................................... 39
3.3
Uncertainty Principle
..................................................................... 40
3.4
Measures Derived from the Spectrograms: Spectral
Entropies
........................................................................................ 42
3.5
Time-Frequency Analysis of Grand Mai Seizures
......................... 44
3.5.1
Summary
............................................................................ 47
References
................................................................................................. 48
4
Wavelets
................................................................................................... 49
4.1
Introduction: Brief History
............................................................ 49
4.2
Basic Idea
....................................................................................... 50
4.3
Two Common Misconceptions
...................................................... 51
4.4
Choice of the Mother Wavelet
....................................................... 53
4.5
Wavelet Transform in the Analysis of Evoked Potentials
.............. 54
4.6
Summary: Cautionary Note
........................................................... 58
4.7
Appendices
..................................................................................... 59
4.7.1
Continuous and Dyadic Wavelet Transforms
..................... 59
4.7.2
Multiresolution Decomposition
......................................... 62
References
................................................................................................. 63
5
Single-Trial Evoked Potentials: Wavelet Denoising
............................. 65
5.1
Introduction: Single-Trial Evoked Potentials
................................. 65
5.2
Previous Approaches
...................................................................... 67
5.3
Wavelet Denoising
......................................................................... 68
5.4
Application to Auditory Evoked Potentials:
Selective and Latency-Corrected Averages
.................................... 72
5.5
Habituation and Sensitization
........................................................ 74
5.6
Single-Trial Correlates of Learning in Rats
................................... 76
5.7
The Learning Oddball Paradigm
.................................................... 78
5.8
Simultaneous
EEG
and fMRI Recordings:
Role of Single-Trial Analysis
........................................................ 79
Contents
5.9
A New Mechanism of Sleep-Induced Learning Revealed
by Single-Trial Analysis
................................................................ 80
5.10
Summary
........................................................................................ 84
References
................................................................................................. 84
Basic Concepts for Spatial Analysis
...................................................... 87
6.1
Introduction
.................................................................................... 87
6.2
State Variables and Their Interrelations: Gains
............................. 89
6.2.1
State Variables: Axon Pulses Versus Dendritic
Waves
................................................................................. 89
6.2.2
State Variables: Microscopic Bits Versus
Macroscopic Densities
....................................................... 91
6.2.3
State Variables: The Order Parameter
................................ 93
6.3
Temporal and Spatial Textures: Gaussianity
.................................. 94
6.4
Stationarity of Spatial Patterns
....................................................... 97
6.4.1
Invariance
of Analytic Frequency: The Hubert
Transform
........................................................................... 98
6.4.2
Spatial Pattern
Invariance
of Analytic Amplitude
............. 99
6.4.3
Estimating Broad-Spectrum Coherence
............................. 100
6.4.4
Spatial AM Pattern Classification
...................................... 102
6.5
Linearity: Additivity and Proportionality
...................................... 103
6.6
Ergodicity, Wave-to-Pulse Conversion, and Static
Nonlinearity
................................................................................... 106
6.7
Positive Feedback, Stability, and Point Attractor
........................... 110
6.8
Negative Feedback, Conditional Stability, and Limit
Cycle Attractor
............................................................................... 113
6.9
Criticality: Choice by Means of an Attractor Landscape
............... 115
6.10
Summary
........................................................................................ 118
References
................................................................................................. 119
Image Sampling Based on Spectral Analysis
........................................ 125
7.1
Introduction
.................................................................................... 125
7.2
Search for the Spatial Grain of ECoG
............................................ 126
7.3
Use of Macroscopic PSDT and PSDX to Define
the Rest State
.................................................................................. 130
7.4
Null Spikes Revealed by Probability Distribution
Function (PDF)
.............................................................................. 132
7.5
Evaluating Spatial Resolution with the Point Spread
Function
(PSF)............................................................................... 135
7.6
Search forthe Spatial Grain of
EEG
.............................................. 138
7.7
PSDX of
EEG
Plus EMG: Spatial Autocorrelation
Function
(SAF)
.............................................................................. 142
7.8
Summary
........................................................................................ 144
References
................................................................................................. 145
xx Contents
8 AHocortical ECoG Images
Formed by Learning
................................. 147
8.1
Introduction
.................................................................................... 147
8.2
The Temporal Structure of the Bulbar
and Prepyriform ECoG
.................................................................. 151
8.3
Spatiotemporal
Images of Averaged Evoked Potentials
................ 153
8.4
Spatial Images of Amplitude Modulation (AM Patterns)
ofECoG
......................................................................................... 156
8.5
Spatial Images of Phase Modulation (PM Patterns)
of ECoG Bursts
.............................................................................. 160
8.6
Transmission of Macroscopic Patterns to Other Areas
of Cortex
........................................................................................ 164
8.7
Summary
........................................................................................ 167
References
................................................................................................. 168
9
Neocortical ECoG Images Formed by Learning
.................................. 173
9.1
Introduction
.................................................................................... 173
9.2
Initial finding of Classifiable AM Patterns in Neocortical
ECoGs
............................................................................................ 174
9.3
High-Resolution of ECoG Amplitudes with the Hilbert
Transform
....................................................................................... 177
9.3.1
Derivation of the Analytic Power, A2(t)
............................. 177
9.3.2
Use of HJt) as a Scalar Index of the Order
Parameter
........................................................................... 178
9.4
High-Resolution Images of Neocortical Phase Patterns
................ 182
9.4.1
Derivation of the Phase Cones of Classifiable Bursts
........ 182
9.4.2
Phase Structure of the Background Activity
...................... 185
9.5
High-Resolution Images of Analytic Phase Between Bursts
......... 187
9.6
Cinematic Display of Temporal Dynamics of AM
and PM Patterns
............................................................................. 190
9.6.1
Vortices
............................................................................... 190
9.6.2
Null Spikes
......................................................................... 192
9.7
Mechanisms of
АМ
/PM
Pattern Formation and Dissolution
......... 194
9.7.1
Piecewise Linear Approximations for Attractor
Dynamics
........................................................................... 194
9.7.2
A Possible Role for Singularity in Perception
................... 196
9.8
Summary
........................................................................................ 198
References
................................................................................................. 199
10
ECoG and
EEG
Images in Higher Cognition
....................................... 203
10.1
Introduction
.................................................................................... 203
10.2
Categorization Versus Generalization in Concept
Formation
....................................................................................... 205
10.3
Convergence of Percepts into Multisensory
Gestalts
..................... 207
10.4
Demonstration of Classifiable AM Patterns
in Human ECoG
............................................................................. 211
Contents xxi
10.5 Demonstration
of Classifiable AM Patterns
in Human
Scalp
EEG
..................................................................... 214
10.6
Summary
........................................................................................ 219
References
................................................................................................. 220
11
Synthesis
................................................................................................... 223
11.1
Introduction
.................................................................................... 223
11.2
Sensation to Perception by Phase Transition
................................. 226
11.3
Neurodynamics and Thermodynamics:
The Carnot (Rankine) Cycle
.......................................................... 230
11.4
Criticality and Phase Transitions: The Carnot Vapor Cycle
.......... 233
11.5
Transmission, Reception, and Readout of Bursts
.......................... 236
11.6
Future Developments in Cortical Thermodynamics
of Perception
.................................................................................. 238
11.7
Summary
........................................................................................ 240
References
................................................................................................. 241
Index
................................................................................................................. 245
Witter
і
Freeman
·
Rodrigo
QuSan Quiroga
¡maf
ing Brain Function With
EEG
Advanced Temporal and Spatial Analysis of Bectroeffcephalographtc Signals
The scalp and cortex lie like pages of an open book on which the cortex enciphers
vast quantities of information and knowledge. They are recorded and analyzed as
temporal and spatial patterns in the electroencephalogram and electrocorticogram.
This book describes basic tools and concepts needed to measure and decipher the
patterns extracted from the
EEG
and ECoG.
This book emphasizes the need for single trial analysis usiag new methods and
paradigms, as well as large, high-density spatial arrays of electrodes for pattern sampling.
The deciphered patterns reveal neural mechanisms by which brains process sensory
information into percepts and concepts. It describes the brain as a thenno-dyaaniic
system that uses chemical energy to construct knowledge.
The results are intended for
ase
in the search for the neural correlates of iatentioa»
attention, perception and learniag; ia the desiga
ôf
human
brain-compiiter
interfaces enabling
mental ««tro!
of machines; «ad in exploriag and explaining the
|
| any_adam_object | 1 |
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| author_GND | (DE-588)121529606 (DE-588)12153877X |
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| id | DE-604.BV040704473 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:32:06Z |
| institution | BVB |
| isbn | 9781461449836 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025684936 |
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| physical | XXI, 248 S. Ill., graph. Darst. |
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| publishDateSort | 2013 |
| publisher | Springer |
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| spelling | Freeman, Walter J. 1927- Verfasser (DE-588)121529606 aut Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals Walter J. Freeman ; Rodrigo Quian Quiroga New York [u.a.] Springer 2013 XXI, 248 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Elektroencephalographie (DE-588)4014254-1 gnd rswk-swf Elektroencephalographie (DE-588)4014254-1 s DE-604 Quian Quiroga, Rodrigo 1967- Verfasser (DE-588)12153877X aut Erscheint auch als Online-Ausgabe 978-1-4614-4984-3 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025684936&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025684936&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Freeman, Walter J. 1927- Quian Quiroga, Rodrigo 1967- Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals Elektroencephalographie (DE-588)4014254-1 gnd |
| subject_GND | (DE-588)4014254-1 |
| title | Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals |
| title_auth | Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals |
| title_exact_search | Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals |
| title_full | Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals Walter J. Freeman ; Rodrigo Quian Quiroga |
| title_fullStr | Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals Walter J. Freeman ; Rodrigo Quian Quiroga |
| title_full_unstemmed | Imaging brain function with EEG advanced temporal and spatial analysis of electroencephalographic signals Walter J. Freeman ; Rodrigo Quian Quiroga |
| title_short | Imaging brain function with EEG |
| title_sort | imaging brain function with eeg advanced temporal and spatial analysis of electroencephalographic signals |
| title_sub | advanced temporal and spatial analysis of electroencephalographic signals |
| topic | Elektroencephalographie (DE-588)4014254-1 gnd |
| topic_facet | Elektroencephalographie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025684936&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025684936&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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