Brain Responses to Auditory Mismatch and Novelty Detection
Predictive Coding from Cocktail Parties to Auditory-Related Disorders
- 1st Edition - July 11, 2023
- Imprint: Academic Press
- Author: Jos J. Eggermont
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 5 4 8 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 5 4 9 - 9
Brain Responses to Auditory Mismatch and Novelty Detection: Predictive Coding from Cocktail Parties to Auditory-Related Disorders provides the connections between changes in the ‘e… Read more
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Request a sales quoteBrain Responses to Auditory Mismatch and Novelty Detection: Predictive Coding from Cocktail Parties to Auditory-Related Disorders provides the connections between changes in the ‘error-generating network’ and disorder-specific changes while also exploring its diagnostic properties. The book allows the reader to appreciate the outcomes of predictive coding theory in fields of auditory streaming (including the cocktail-party effect) and psychiatric disorders with an auditory component. These include mild cognitive impairment (MCI), Alzheimer’s disease, attention-deficit and hyperactivity disorder (ADHD), autism spectrum disorder (ASD), schizophrenia and the cognitive aspects of Parkinson’s disease.
The book combines animal experiments on adaptation, human auditory evoked potentials, including MMN and their maturational, as well as aging aspects into one comprehensive resource.
- Compares and contrasts animal vs human data
- Provides detailed maturational and aging aspects
- Details the differences between auditory, visual and somatosensory MMN networks
- Reviews predictive coding in various psychiatric disorders
Students and researchers in Auditory neuroscience; Neuroimaging and neural connectivity modeling; Audiology; Cognitive Neuroscience; Clinical Psychology; Neurology and Psychiatry
- Cover
- Title page
- Table of Contents
- Copyright
- Preface
- Reference
- Abbreviations
- Chapter 1: A primer on predictive coding and network modeling
- Abstract
- 1.1: Introduction
- 1.2: Hierarchical learning
- 1.3: From hierarchical learning to predictive coding
- 1.4: Predictive coding and Bayesian inference
- 1.5: Brain areas and activity involved in predictive coding
- 1.6: Modeling networks underlying predictive coding
- 1.7: Predictive coding networks and cognition
- 1.8: Is predictive coding complete?
- 1.9: Summary
- References
- Chapter 2: Setting the stage: Cocktail parties, auditory streaming, mismatch negativity, and stimulus-specific adaptation
- Abstract
- 2.1: Introduction
- 2.2: Auditory stream segregation
- 2.3: Human electrophysiology and neural imaging
- 2.4: Stimulus-specific adaptation in animal models as an equivalent of the MMN
- 2.5: Novelty detection
- 2.6: Mismatch responses and predictive coding
- 2.7: Summary
- References
- Chapter 3: Neural adaptation and forward masking along the auditory pathway
- Abstract
- 3.1: Introduction
- 3.2: Electrophysiology of adaptation and forward masking
- 3.3: A putative role of neural adaptation in explaining the mismatch negativity
- 3.4: Summary
- References
- Chapter 4: Animal studies of deviance detection along the auditory pathway
- Abstract
- 4.1: MMN in animals?
- 4.2: Stimulus-specific adaptation in animals
- 4.3: The role of auditory cortex in mismatch detection and predictive coding
- 4.4: Summary
- References
- Chapter 5: Auditory cortical event-related potentials in the human brain
- Abstract
- 5.1: Introduction
- 5.2: Effects of adaptation, attention, and memory
- 5.3: Deviance detection
- 5.4: Novelty processing
- 5.5: Summary
- References
- Chapter 6: Development and maturation aspects of predictive coding
- Abstract
- 6.1: Introduction
- 6.2: Maturation of subcortical activity
- 6.3: Cortical auditory evoked potentials
- 6.4: Maturation of the mismatch response
- 6.5: Novelty detection. Maturation of the P300 complex
- 6.6: Summary
- References
- Chapter 7: Role of event-related potentials and brain rhythms in predictive coding
- Abstract
- 7.1: Auditory stream segregation
- 7.2: Networks underlying error responses in predictive coding
- 7.3: The role of auditory areas in predictive coding
- 7.4: Are brain oscillations a substitute for ERPs in predictive coding?
- 7.5: Local vs global deviance
- 7.6: Summary
- References
- Chapter 8: Predictive coding in autism spectrum disorder, attention-deficit/hyperactivity disorder, and dyslexia
- Abstract
- 8.1: Introduction
- 8.2: Characterizing auditory aspects of ADHD and ASD
- 8.3: Changes in auditory brainstem responses and cortical auditory evoked potentials
- 8.4: Changes in MMN and the P3 complex
- 8.5: Do ERPs diagnose between ASD and ADHD?
- 8.6: Does predictive coding contribute?
- 8.7: Developmental dyslexia
- 8.8: Summary
- References
- Chapter 9: Predictive coding in aging, tinnitus, MCI, and Alzheimer’s disease
- Abstract
- 9.1: Auditory aspects of aging
- 9.2: Tinnitus
- 9.3: ERPs in aging, mild cognitive impairment, and Alzheimer's disease
- 9.4: Summary
- References
- Chapter 10: Brain networks involved in deviance and novelty detection: Are they sensory modality specific?
- Abstract
- 10.1: Introduction
- 10.2: Sensory modality-dependent mismatch negativity
- 10.3: Network changes underlying cognition
- 10.4: Networks underlying prediction-error coding
- 10.5: Summary
- References
- Chapter 11: Predictive coding in music, speech, and language
- Abstract
- 11.1: Right-hemisphere dominance
- 11.2: Similar brain areas are activated by music and language
- 11.3: Cortical pathways in linguistic processing
- 11.4: Role of brain rhythms in music and language coding
- 11.5: Predictive coding in more detail
- 11.6: Alternative models to predictive coding in speech and language
- 11.7: Summary
- References
- Chapter 12: Network changes underlying neural disorders: Relation to the MMN networks
- Abstract
- 12.1: Network changes in tinnitus
- 12.2: Functional connectivity in dyslexia
- 12.3: Network changes across aging and neurodegenerative disorders
- 12.4: Autism spectrum disorder
- 12.5: ADHD
- 12.6: MCI and Alzheimer's disease
- 12.7: Integration of the MMN network and disorder-specific changes
- 12.8: Summary
- References
- Appendix: A primer on cortical auditory evoked potentials and magnetic fields
- A.1: Obligatory—Exogenous—Cortical auditory evoked potentials
- A.2: Description of CAEP components
- A.3: Endogenous auditory event-related potentials
- References
- Index
- Edition: 1
- Published: July 11, 2023
- No. of pages (Paperback): 300
- No. of pages (eBook): 300
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780443155482
- eBook ISBN: 9780443155499
JE
Jos J. Eggermont
Dr. Jos J. Eggermont is an Emeritus Professor in the Departments of Physiology and Pharmacology, and Psychology at the University of Calgary in Alberta, Canada. Dr. Eggermont is one of the most renowned scientists in the field of the auditory system and his work has contributed substantially to the current knowledge about hearing loss. His research comprises most aspects of audition with an emphasis on the electrophysiology of the auditory system in experimental animals. He has published over 225 scientific articles, authored/edited 10 books, and contributed to over 100 book chapters all focusing on the auditory system.
Affiliations and expertise
Emeritus Professor, Departments of Physiology and Pharmacology, and Psychology, University of Calgary, Calgary, AB, CanadaRead Brain Responses to Auditory Mismatch and Novelty Detection on ScienceDirect