MEG-EEG primer:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Oxford University Press
[2023]
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| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xxiii, 455 Seiten Illustrationen, Diagramme |
| ISBN: | 9780197542187 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text | CONTENTS Preface to the Second Edition xv Preface to the First Edition xvii About the Authors xix Preamble xxi SECTION 1 1. Introduction 3 MEG and EEG Setups 3 Comparison of MEG and EEG 7 Structure of This Primer 12 References 12 2. Insights into the Human Brain 13 Overview of the Human Brain 13 How to Obtain Information about Brain Function 14 Timing in Human Behavior 14 Functional Structure of the Human Cerebral Cortex 15 Cerebellum 17 Communication Between Brain Areas Thalamocortical Connections Intrabrain Connectivity 18 18 18 Electric Signaling in Neurons Membrane Potentials Action Potentials Postsynaptic Potentials 19 21 21 23 References 24 v
vi CONTENTS 3. Basic Physics and Physiology of MEG and EEG 27 An Overview of MEG and EEG Signal Generation 27 Charges and Electric Current 28 Ohm’s and Kirchoff s Laws 29 Relationship Between Current and Magnetic Field 30 Superconductivity 31 Inverse Problem 32 Source Currents Primary Current Layers, Open Fields, and Closed Fields Intracortical Cancellation Volume Conduction Spherical Head Model 33 33 35 36 36 37 Some General Points about Source Localization 38 References 40 4. An Overview of EEG and MEG 41 Historical Aspects 41 Early EEG Recordings 42 Early MEG Recordings 44 Types of EEG and MEG Signals Brain Rhythms Evoked and Event-Related Responses 45 45 46 Advantages and Disadvantages of MEG and EEG Advantages Disadvantages 47 48 48 References 49 SECTION 2 5. Instrumentation for EEG and MEG EEG Instrumentation Electrodes General Wet Electrodes Dry Electrodes Hybrid or “Semi-Dry” Electrode Configurations Special Electrodes Electrodes for Invasive Recordings Electrodes for Portable Devices and Brain-Computer Interfaces 53 53 54 54 55 57 57 58 58 59
CONTENTS vii ExG Electrodes Electrodes for Ultra- Slow EEG Signals EEG Amplifiers General Differential Amplifiers and Common-Mode Rejection Effect of Amplifier Input Impedance on CMRR Maximizing CMRR: Grounding and Special Feedback Circuits DC-Coupled EEG Amplifiers EEG Amplifiers for Simultaneous Use With Other Neuroimaging Techniques Standard Electrode Positions Reference Electrode Configurations General Effect of Reference Electrode Site on the Measured Potential Distribution Re-Referencing Relative to an Average Reference 59 61 62 62 63 64 64 65 65 65 68 68 69 72 MEG Instrumentation SQUIDs and SQUID Electronics Flux Transformers and Their Configuration Toward On-Scalp MEG High-T SQUIDs Optically Pumped Magnetometers 75 75 78 79 79 79 Shielding 80 Other Ways to Maintain a Noise-Free Environment 82 References 83 6. Devices for Sensory Stimulation and Behavioral Monitoring 88 Stimulators Auditory Stimulators Visual Stimulators Somatosensory Stimulators Stimulators for Inducing Acute Pain Passive-Movement Stimulators Olfactory and Gustatory Stimulators Olfaction Gustation 88 88 89 90 92 93 94 94 96 Devices for Behavioral Monitoring 96 Phantoms for MEG/EEG Source Analysis and Artifact Removal 96 References 98 7. Practicalities of Data Collection 100 General Principles of Good Experimentation 100 Replicability Checks 101
viii CONTENTS EEG Recordings: The Practice Skin Preparation for Electrode-Impedance Measurement General Skin Preparation for Electrode Application Electrode-Impedance Measurement 102 102 102 102 103 MEG Recordings: The Practice 104 Measurement of MEG Sensor and EEG Electrode Positions 106 Infection Control in EEG and MEG Recordings General COVID -19-Related Issues 110 110 110 Electrical Safety 112 References 114 8. Data Acquisition, Preprocessing, and Sharing 116 Filtering 116 D ata Sampling Rate 122 Simulation of EEG and MEG Data 124 Standardization of Data Formats and Analysis Pipelines for Data Sharing Brain Imaging Data Standard, BIDS A Bird’s-Eye View of a Standardized Data Set Structure 124 125 125 References 128 9. Artifacts 130 Introduction 130 Some Common Artifact-Removal Methods Blind Source Separation Signal-Space Projection and Separation Methods 132 132 135 Eye-Related Artifacts Eye Movements and Eye Blinks Saccades and Microsaccades Removal of Eye-Related Artifacts 138 138 141 144 Muscle Artifacts Generation and Recognition Removal of Myogenic Artifacts 148 148 152 Cardiac Artifacts Generation and Recognition Removal of Cardiac Artifacts 155 155 157 Respiration-Related Artifacts Generation and Recognition Removal of Respiration Artifacts 158 158 159
CONTENTS ix Sweating Generation and Recognition Removal of Sweating Artifacts 160 160 160 Nonphysiological Artifacts Power-Line Noise and Its Removal Response-Box Artifacts Artifacts Related to EEG Electrodes and MEG Sensors EEG Artifacts Caused by fMRI Scanning and Noninvasive Brain Stimulation How to Ensure the Signals Come From the Brain 161 161 164 164 References 167 10. Analyzing the Data 165 166 173 Introduction 173 Data Inspection and Preprocessing 174 Analysis of Averaged Data Evoked Versus Induced Activity Signal-to-Noise Considerations Segmentation Amplitude and Latency Measures Topographic Maps 175 175 176 177 177 178 Analysis of Unaveraged Data Brain Microstates MEG/EEG Signal Level and Power Event-Related Desynchronization/Synchronization and Temporal Spectral Evolution Time-Frequency Analyses Phase Resetting and Models of Evoked Activity Cross-Frequency Coupling 179 179 180 Measures of Association and Connectivity Functional Connectivity Correlation and Coherence Phase-Locking Factor, Phase-Locking Value, and Phase-Lag Index Mutual Information Transfer Entropy Cross-Correlation Granger Causality Functional Connectivity: Quo Vadis? Effective Connectivity Dynamic Causal Modeling Graph-Theoretical Analysis On the Practicalities of Connectivity Analyses 188 188 189 191 191 192 192 192 193 194 194 194 195 Source Modeling Forward and Inverse Problems in MEG and EEG Head Models Single-Dipole Model 195 195 196 197 180 181 184 185
x CONTENTS Goodness of Fit and Confidence Limits of the Model Spatial Resolution Source Extent Effect of Synchrony Multidipole Models, Distributed Models, and Beamformers Hypothesis Testing With Predetermined Source Locations 198 199 201 203 204 205 Statistical Considerations Group Effects Whole-Head Analysis of Evoked Responses MEG Signal Detectability and Statistical Power in Group Studies Effect of Source Current Orientation and Location Sensor Sensitivity, Number of Trials, Group Size, Effect Size, and Statistical Power 205 205 207 Common Pitfalls in DataAnalysis and Interpretation 211 References 214 209 209 209 SECTION 3 11. Brain Rhythms 223 Introduction 223 Alpha Rhythm of the Posterior Cortex 224 Mu Rhythm of the Sensorimotor Cortex 229 Tau Rhythm of the Auditory Cortex 229 Beta Rhythms 231 Theta Rhythms 233 Gamma Rhythms 233 Delta-Band Activity and Ultra-Slow Oscillations 235 Coupling Between Different Brain Rhythms 236 Changes in Brain Rhythms During Sleep 237 Effects of Anesthetics and Other Drugs on EEG/MEG 241 References 243 12. Evoked and Event-Related Responses 248 Introduction 248 An Initial Example 250 Nomenclature of Evoked Responses and Brain Rhythms 251 Effects of Interstimulus Interval and Stimulus Timing 254 Effects of Other Stimulus Parameters 256 References 257
CONTENTS 13. Auditory Responses xi 260 Aspects of Auditory Stimulation Hearing Threshold Stimulus Type, Duration, Envelope, and Other Characteristics 260 260 261 Auditory Brainstem Responses 262 Middle-Latency Auditory-Evoked Responses 263 Long-Latency Auditory-Evoked Responses 264 Auditory Steady-State Responses 268 Frequency Tagging 271 References 272 14. Visual Responses 275 Introduction 275 Visual Stimuli Visual Acuity Distance and Visual Angle of the Stimulus Foveal, Parafoveal, and Extrafoveal Stimulation Luminance and Contrast Spatial Frequency 276 276 276 276 277 278 Electroretinogram and Magnetoretinogram 279 Visual Evoked Potentials and Fields 279 Multifocal Visual Evoked Responses 282 Assessing the Ventral Visual Stream 286 Assessing the Dorsal Visual Stream 288 Visual Steady-State Responses 288 Decoding of Visual Categories 290 References 292 15. Somatosensory Responses 296 Compound Action Potentials and Fields of Peripheral Nerves 296 Responses from the SI Cortex 299 Responses from the Posterior Parietal Cortex 305 Responses from the SII Cortex 305 Somatosensory Steady-State Responses 306 High-Frequency Oscillations in the SI Cortex 307 Pain and Nociceptive Responses 307 References 310
xii CONTENTS 16. Other Sensory Responses, Multisensory Interaction, and Interoception 314 Olfactory and Gustatory Responses Olfactory Responses Gustatory Responses 314 31S 317 Multisensory Interaction Overview Audiotactile Interaction An MEG Case Study Multisensory Integration During Human Communication Other Types of Multisensory Evoked Responses Models of Multisensory Interaction 317 317 319 320 321 322 324 Interoception Overview Visceral Responses Evoked Responses to Distension of Esophagus, Urethra, and Rectum Spontaneous Contractions of the Stomach and Upper Gut Contractions of the Uterus The Brain-Heart Axis: Evoked Activity to Ones Own Heartbeat Evoked Activity to Ones Own Respiration 325 325 326 References 331 17. Motor Function 326 326 329 329 331 336 Movement-Related Readiness Potentials and Fields 336 Coherence Between Brain Activity and Movements/Muscles Overview Cortex-Muscle Coherence Corticokinematic Coherence Corticovocal Coherence 339 339 339 342 342 More Complex Motor Actions 343 References 346 18. Brain Signals Related to Change Detection 349 Introduction 349 Contingent Negative Variation 350 Mismatch Negativity and Mismatch Field 352 P300 Responses 355 N400 Responses 357 Error-Related Negativity 359 References 360
CONTENTS xiii 364 19. The Social Brain Theoretical Framework 364 Responses to Emotions Depicted by Faces and Bodies 367 Action Viewing and Mirroring 371 Hyperscanning 375 Verbal Communication 377 References 379 20. Brain Disorders 383 Introduction 383 Epilepsy 384 Preoperative Mapping Functional Identification of the Central Sulcus Anatomical Identification of the Central Sulcus Hemispheric Dominance for Speech and Language 386 387 388 389 Stroke 390 Critically Ill Patients Coma Brain Death 392 392 392 Why Have the Clinical Applications for MEG Developed So Slowly? 392 References 393 21. MEG/EEG Combined with Other Brain Imaging Methods 397 Combining MEG and EEG 397 Combining MEG/EEG with MRI/fMRI 399 EEG During Noninvasive Brain Stimulation 404 Hybrid MEG-MRI 406 Multiple Methods and the New Normal” 406 References 406 22. Stepping Back and Looking Forward: Toward Understanding the Human Brain 410 Further Developments of Instrumentation 411 Working with Big Data” Mining Knowledge From Large Data Sets Biomarkers 412 412 413 New Targets in MEG/EEG Research Deep Sources 414 414
xiv CONTENTS Inhibition More Focus on Developmental and Life-Span Studies High-Resolution Assessment of Behavior Index 417 418 419 Toward Understanding the Human Brain From Micro- to Macrolevel and Back Living Matter Is Special The Brain as a Nonlinear Timing System 420 420 422 422 Toward Convergence Research 424 Looking Forward 424 References 425 431
MEG-EEG Primer presents the basic A-to-Z of two non-invasive human electrophysiological methods, magnetoencephalography (MEG) and electroencephalography (EEG). These methods are used to study human brain dynamics, tracking the brain s responses to sensory, cognitive, and social stimuli. This book, now in its second edition, remains the only volume of its kind that discusses both MEG and EEG side-by-side, for an integrated understanding of brain function. In 22 chapters with almost two hundred color figures, the book covers the basic physical and physiological foundations of these two methods, the historical background and development of their implementation, instrumentation, recording techniques, data analysis, and interpretation. The new edition includes expanded text on MEG and EEG sensor types and amplifiers, artifacts, new analysis tools, open data repositories, and novel instrumentation. Due to new concerns from the COVID-19 pandemic, general infection control in MEG/EEG laboratories is also discussed. Interoception is introduced as an interesting emerging research field. Moreover, future developments in MEG and EEG are examined with respect to new and evolving technologies, and new applications for their use. Overall, MEG-EEG Primer puts into perspective the role of MEG and EEG in neuroscience research at large, and the future of our understanding of the dynamics of human brain function.
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| adam_txt |
CONTENTS Preface to the Second Edition xv Preface to the First Edition xvii About the Authors xix Preamble xxi SECTION 1 1. Introduction 3 MEG and EEG Setups 3 Comparison of MEG and EEG 7 Structure of This Primer 12 References 12 2. Insights into the Human Brain 13 Overview of the Human Brain 13 How to Obtain Information about Brain Function 14 Timing in Human Behavior 14 Functional Structure of the Human Cerebral Cortex 15 Cerebellum 17 Communication Between Brain Areas Thalamocortical Connections Intrabrain Connectivity 18 18 18 Electric Signaling in Neurons Membrane Potentials Action Potentials Postsynaptic Potentials 19 21 21 23 References 24 v
vi CONTENTS 3. Basic Physics and Physiology of MEG and EEG 27 An Overview of MEG and EEG Signal Generation 27 Charges and Electric Current 28 Ohm’s and Kirchoff's Laws 29 Relationship Between Current and Magnetic Field 30 Superconductivity 31 Inverse Problem 32 Source Currents Primary Current Layers, Open Fields, and Closed Fields Intracortical Cancellation Volume Conduction Spherical Head Model 33 33 35 36 36 37 Some General Points about Source Localization 38 References 40 4. An Overview of EEG and MEG 41 Historical Aspects 41 Early EEG Recordings 42 Early MEG Recordings 44 Types of EEG and MEG Signals Brain Rhythms Evoked and Event-Related Responses 45 45 46 Advantages and Disadvantages of MEG and EEG Advantages Disadvantages 47 48 48 References 49 SECTION 2 5. Instrumentation for EEG and MEG EEG Instrumentation Electrodes General Wet Electrodes Dry Electrodes Hybrid or “Semi-Dry” Electrode Configurations Special Electrodes Electrodes for Invasive Recordings Electrodes for Portable Devices and Brain-Computer Interfaces 53 53 54 54 55 57 57 58 58 59
CONTENTS vii ExG Electrodes Electrodes for Ultra- Slow EEG Signals EEG Amplifiers General Differential Amplifiers and Common-Mode Rejection Effect of Amplifier Input Impedance on CMRR Maximizing CMRR: Grounding and Special Feedback Circuits DC-Coupled EEG Amplifiers EEG Amplifiers for Simultaneous Use With Other Neuroimaging Techniques Standard Electrode Positions Reference Electrode Configurations General Effect of Reference Electrode Site on the Measured Potential Distribution Re-Referencing Relative to an Average Reference 59 61 62 62 63 64 64 65 65 65 68 68 69 72 MEG Instrumentation SQUIDs and SQUID Electronics Flux Transformers and Their Configuration Toward On-Scalp MEG High-T SQUIDs Optically Pumped Magnetometers 75 75 78 79 79 79 Shielding 80 Other Ways to Maintain a Noise-Free Environment 82 References 83 6. Devices for Sensory Stimulation and Behavioral Monitoring 88 Stimulators Auditory Stimulators Visual Stimulators Somatosensory Stimulators Stimulators for Inducing Acute Pain Passive-Movement Stimulators Olfactory and Gustatory Stimulators Olfaction Gustation 88 88 89 90 92 93 94 94 96 Devices for Behavioral Monitoring 96 Phantoms for MEG/EEG Source Analysis and Artifact Removal 96 References 98 7. Practicalities of Data Collection 100 General Principles of Good Experimentation 100 Replicability Checks 101
viii CONTENTS EEG Recordings: The Practice Skin Preparation for Electrode-Impedance Measurement General Skin Preparation for Electrode Application Electrode-Impedance Measurement 102 102 102 102 103 MEG Recordings: The Practice 104 Measurement of MEG Sensor and EEG Electrode Positions 106 Infection Control in EEG and MEG Recordings General COVID -19-Related Issues 110 110 110 Electrical Safety 112 References 114 8. Data Acquisition, Preprocessing, and Sharing 116 Filtering 116 D ata Sampling Rate 122 Simulation of EEG and MEG Data 124 Standardization of Data Formats and Analysis Pipelines for Data Sharing Brain Imaging Data Standard, BIDS A Bird’s-Eye View of a Standardized Data Set Structure 124 125 125 References 128 9. Artifacts 130 Introduction 130 Some Common Artifact-Removal Methods Blind Source Separation Signal-Space Projection and Separation Methods 132 132 135 Eye-Related Artifacts Eye Movements and Eye Blinks Saccades and Microsaccades Removal of Eye-Related Artifacts 138 138 141 144 Muscle Artifacts Generation and Recognition Removal of Myogenic Artifacts 148 148 152 Cardiac Artifacts Generation and Recognition Removal of Cardiac Artifacts 155 155 157 Respiration-Related Artifacts Generation and Recognition Removal of Respiration Artifacts 158 158 159
CONTENTS ix Sweating Generation and Recognition Removal of Sweating Artifacts 160 160 160 Nonphysiological Artifacts Power-Line Noise and Its Removal Response-Box Artifacts Artifacts Related to EEG Electrodes and MEG Sensors EEG Artifacts Caused by fMRI Scanning and Noninvasive Brain Stimulation How to Ensure the Signals Come From the Brain 161 161 164 164 References 167 10. Analyzing the Data 165 166 173 Introduction 173 Data Inspection and Preprocessing 174 Analysis of Averaged Data Evoked Versus Induced Activity Signal-to-Noise Considerations Segmentation Amplitude and Latency Measures Topographic Maps 175 175 176 177 177 178 Analysis of Unaveraged Data Brain Microstates MEG/EEG Signal Level and Power Event-Related Desynchronization/Synchronization and Temporal Spectral Evolution Time-Frequency Analyses Phase Resetting and Models of Evoked Activity Cross-Frequency Coupling 179 179 180 Measures of Association and Connectivity Functional Connectivity Correlation and Coherence Phase-Locking Factor, Phase-Locking Value, and Phase-Lag Index Mutual Information Transfer Entropy Cross-Correlation Granger Causality Functional Connectivity: Quo Vadis? Effective Connectivity Dynamic Causal Modeling Graph-Theoretical Analysis On the Practicalities of Connectivity Analyses 188 188 189 191 191 192 192 192 193 194 194 194 195 Source Modeling Forward and Inverse Problems in MEG and EEG Head Models Single-Dipole Model 195 195 196 197 180 181 184 185
x CONTENTS Goodness of Fit and Confidence Limits of the Model Spatial Resolution Source Extent Effect of Synchrony Multidipole Models, Distributed Models, and Beamformers Hypothesis Testing With Predetermined Source Locations 198 199 201 203 204 205 Statistical Considerations Group Effects Whole-Head Analysis of Evoked Responses MEG Signal Detectability and Statistical Power in Group Studies Effect of Source Current Orientation and Location Sensor Sensitivity, Number of Trials, Group Size, Effect Size, and Statistical Power 205 205 207 Common Pitfalls in DataAnalysis and Interpretation 211 References 214 209 209 209 SECTION 3 11. Brain Rhythms 223 Introduction 223 Alpha Rhythm of the Posterior Cortex 224 Mu Rhythm of the Sensorimotor Cortex 229 Tau Rhythm of the Auditory Cortex 229 Beta Rhythms 231 Theta Rhythms 233 Gamma Rhythms 233 Delta-Band Activity and Ultra-Slow Oscillations 235 Coupling Between Different Brain Rhythms 236 Changes in Brain Rhythms During Sleep 237 Effects of Anesthetics and Other Drugs on EEG/MEG 241 References 243 12. Evoked and Event-Related Responses 248 Introduction 248 An Initial Example 250 Nomenclature of Evoked Responses and Brain Rhythms 251 Effects of Interstimulus Interval and Stimulus Timing 254 Effects of Other Stimulus Parameters 256 References 257
CONTENTS 13. Auditory Responses xi 260 Aspects of Auditory Stimulation Hearing Threshold Stimulus Type, Duration, Envelope, and Other Characteristics 260 260 261 Auditory Brainstem Responses 262 Middle-Latency Auditory-Evoked Responses 263 Long-Latency Auditory-Evoked Responses 264 Auditory Steady-State Responses 268 Frequency Tagging 271 References 272 14. Visual Responses 275 Introduction 275 Visual Stimuli Visual Acuity Distance and Visual Angle of the Stimulus Foveal, Parafoveal, and Extrafoveal Stimulation Luminance and Contrast Spatial Frequency 276 276 276 276 277 278 Electroretinogram and Magnetoretinogram 279 Visual Evoked Potentials and Fields 279 Multifocal Visual Evoked Responses 282 Assessing the Ventral Visual Stream 286 Assessing the Dorsal Visual Stream 288 Visual Steady-State Responses 288 Decoding of Visual Categories 290 References 292 15. Somatosensory Responses 296 Compound Action Potentials and Fields of Peripheral Nerves 296 Responses from the SI Cortex 299 Responses from the Posterior Parietal Cortex 305 Responses from the SII Cortex 305 Somatosensory Steady-State Responses 306 High-Frequency Oscillations in the SI Cortex 307 Pain and Nociceptive Responses 307 References 310
xii CONTENTS 16. Other Sensory Responses, Multisensory Interaction, and Interoception 314 Olfactory and Gustatory Responses Olfactory Responses Gustatory Responses 314 31S 317 Multisensory Interaction Overview Audiotactile Interaction An MEG Case Study Multisensory Integration During Human Communication Other Types of Multisensory Evoked Responses Models of Multisensory Interaction 317 317 319 320 321 322 324 Interoception Overview Visceral Responses Evoked Responses to Distension of Esophagus, Urethra, and Rectum Spontaneous Contractions of the Stomach and Upper Gut Contractions of the Uterus The Brain-Heart Axis: Evoked Activity to Ones Own Heartbeat Evoked Activity to Ones Own Respiration 325 325 326 References 331 17. Motor Function 326 326 329 329 331 336 Movement-Related Readiness Potentials and Fields 336 Coherence Between Brain Activity and Movements/Muscles Overview Cortex-Muscle Coherence Corticokinematic Coherence Corticovocal Coherence 339 339 339 342 342 More Complex Motor Actions 343 References 346 18. Brain Signals Related to Change Detection 349 Introduction 349 Contingent Negative Variation 350 Mismatch Negativity and Mismatch Field 352 P300 Responses 355 N400 Responses 357 Error-Related Negativity 359 References 360
CONTENTS xiii 364 19. The Social Brain Theoretical Framework 364 Responses to Emotions Depicted by Faces and Bodies 367 Action Viewing and Mirroring 371 Hyperscanning 375 Verbal Communication 377 References 379 20. Brain Disorders 383 Introduction 383 Epilepsy 384 Preoperative Mapping Functional Identification of the Central Sulcus Anatomical Identification of the Central Sulcus Hemispheric Dominance for Speech and Language 386 387 388 389 Stroke 390 Critically Ill Patients Coma Brain Death 392 392 392 Why Have the Clinical Applications for MEG Developed So Slowly? 392 References 393 21. MEG/EEG Combined with Other Brain Imaging Methods 397 Combining MEG and EEG 397 Combining MEG/EEG with MRI/fMRI 399 EEG During Noninvasive Brain Stimulation 404 Hybrid MEG-MRI 406 Multiple Methods and the "New Normal” 406 References 406 22. Stepping Back and Looking Forward: Toward Understanding the Human Brain 410 Further Developments of Instrumentation 411 Working with "Big Data” Mining Knowledge From Large Data Sets Biomarkers 412 412 413 New Targets in MEG/EEG Research Deep Sources 414 414
xiv CONTENTS Inhibition More Focus on Developmental and Life-Span Studies High-Resolution Assessment of Behavior Index 417 418 419 Toward Understanding the Human Brain From Micro- to Macrolevel and Back Living Matter Is Special The Brain as a Nonlinear Timing System 420 420 422 422 Toward Convergence Research 424 Looking Forward 424 References 425 431
MEG-EEG Primer presents the basic A-to-Z of two non-invasive human electrophysiological methods, magnetoencephalography (MEG) and electroencephalography (EEG). These methods are used to study human brain dynamics, tracking the brain's responses to sensory, cognitive, and social stimuli. This book, now in its second edition, remains the only volume of its kind that discusses both MEG and EEG side-by-side, for an integrated understanding of brain function. In 22 chapters with almost two hundred color figures, the book covers the basic physical and physiological foundations of these two methods, the historical background and development of their implementation, instrumentation, recording techniques, data analysis, and interpretation. The new edition includes expanded text on MEG and EEG sensor types and amplifiers, artifacts, new analysis tools, open data repositories, and novel instrumentation. Due to new concerns from the COVID-19 pandemic, general infection control in MEG/EEG laboratories is also discussed. Interoception is introduced as an interesting emerging research field. Moreover, future developments in MEG and EEG are examined with respect to new and evolving technologies, and new applications for their use. Overall, MEG-EEG Primer puts into perspective the role of MEG and EEG in neuroscience research at large, and the future of our understanding of the dynamics of human brain function. |
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| edition | Second edition |
| format | Book |
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| id | DE-604.BV049401863 |
| illustrated | Illustrated |
| index_date | 2024-07-03T23:04:06Z |
| indexdate | 2024-07-10T10:06:05Z |
| institution | BVB |
| isbn | 9780197542187 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034729088 |
| oclc_num | 1414544711 |
| open_access_boolean | |
| owner | DE-384 |
| owner_facet | DE-384 |
| physical | xxiii, 455 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Oxford University Press |
| record_format | marc |
| spelling | Hari, Riitta 1948- Verfasser (DE-588)1102930334 aut MEG-EEG primer Riitta Hari (MD, PhD), Aina Puce (PhD) Second edition New York, NY Oxford University Press [2023] xxiii, 455 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Magnetoencephalography - methode Electroencephalography - methods Brain - physiology Brain Mapping Brain Diseases - diagnosis Magnetoencephalography Electroencephalography Brain Brain Diseases Elektroencephalographie (DE-588)4014254-1 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Magnetoencephalographie (DE-588)4254087-2 gnd rswk-swf Gehirn (DE-588)4019752-9 gnd rswk-swf Magnetoencephalographie (DE-588)4254087-2 s Elektroencephalographie (DE-588)4014254-1 s Gehirn (DE-588)4019752-9 s Methode (DE-588)4038971-6 s DE-604 Puce, Aina Verfasser (DE-588)1077050887 aut Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034729088&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034729088&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Hari, Riitta 1948- Puce, Aina MEG-EEG primer Magnetoencephalography - methode Electroencephalography - methods Brain - physiology Brain Mapping Brain Diseases - diagnosis Magnetoencephalography Electroencephalography Brain Brain Diseases Elektroencephalographie (DE-588)4014254-1 gnd Methode (DE-588)4038971-6 gnd Magnetoencephalographie (DE-588)4254087-2 gnd Gehirn (DE-588)4019752-9 gnd |
| subject_GND | (DE-588)4014254-1 (DE-588)4038971-6 (DE-588)4254087-2 (DE-588)4019752-9 |
| title | MEG-EEG primer |
| title_auth | MEG-EEG primer |
| title_exact_search | MEG-EEG primer |
| title_exact_search_txtP | MEG-EEG primer |
| title_full | MEG-EEG primer Riitta Hari (MD, PhD), Aina Puce (PhD) |
| title_fullStr | MEG-EEG primer Riitta Hari (MD, PhD), Aina Puce (PhD) |
| title_full_unstemmed | MEG-EEG primer Riitta Hari (MD, PhD), Aina Puce (PhD) |
| title_short | MEG-EEG primer |
| title_sort | meg eeg primer |
| topic | Magnetoencephalography - methode Electroencephalography - methods Brain - physiology Brain Mapping Brain Diseases - diagnosis Magnetoencephalography Electroencephalography Brain Brain Diseases Elektroencephalographie (DE-588)4014254-1 gnd Methode (DE-588)4038971-6 gnd Magnetoencephalographie (DE-588)4254087-2 gnd Gehirn (DE-588)4019752-9 gnd |
| topic_facet | Magnetoencephalography - methode Electroencephalography - methods Brain - physiology Brain Mapping Brain Diseases - diagnosis Magnetoencephalography Electroencephalography Brain Brain Diseases Elektroencephalographie Methode Magnetoencephalographie Gehirn |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034729088&sequence=000001&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=034729088&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT haririitta megeegprimer AT puceaina megeegprimer |