FMRI neurofeedback /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Hampson, Michelle
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, 2021.
Temas:
Brain > Magnetic resonance imaging.
Neurofeedback.
Cerveau > Imagerie par r�esonance magn�etique.
Brain > Magnetic resonance imaging
Neurofeedback
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • fMRI Neurofeedback
  • Copyright
  • Contents
  • Contributors
  • Introduction
  • Chapter 1 A brief history of real-time fMRI neurofeedback *
  • 1 From inception of rtfMRI neurofeedback to clinical trials in 15 years
  • 2 The first steps: Early exploration
  • 2.1 Challenges of fast and reliable rtfMRI neurofeedback
  • 2.2 Challenges of designing neurofeedback experiments from scratch
  • 2.3 The search for an effective and efficient control
  • 3 The second phase: Evaluating the potential for modifying human behavior, cognition, and affect
  • 4 Toward an international research community
  • 4.1 The first four international conferences
  • 4.2 Links with research communities in related fields
  • 4.3 Increasing publication activity
  • 4.4 Expansion of clinical trials and critique
  • 5 Conclusion
  • Potential conflicts of interest
  • Acknowledgments
  • References
  • Section 1: Introduction to methods section
  • Chapter 2 Analysis methods for real-time fMRI neurofeedback
  • 1 Real-time versus offline analysis
  • 2 Technical setup
  • 3 Univariate activation neurofeedback
  • 3.1 ROI selection
  • 3.2 Neurofeedback calculation
  • 3.2.1 Displaying feedback
  • 3.2.2 Removing drifts
  • 3.3 Multisession neurofeedback training
  • 4 Methods to improve signal quality
  • 4.1 Motion correction within and across runs
  • 4.2 Removing drifts using incremental GLM analysis
  • 4.2.1 Motion predictors
  • 4.3 Removing global signal fluctuations
  • 4.4 Physiological noise correction
  • 4.5 Spatial and temporal smoothing
  • 5 Other neurofeedback methods
  • 5.1 Functional or effective connectivity feedback
  • 5.2 Multivoxel pattern analysis feedback
  • 5.3 Decoded neurofeedback
  • 5.4 Semantic neurofeedback
  • 6 Conclusions
  • Acknowledgments
  • References
  • Chapter 3 Protocol design in fMRI neurofeedback studies
  • 1 What to target?.
  • 2 How to train?
  • 2.1 Providing strategies/instructions to subjects
  • 2.2 Feedback interface
  • 2.3 Training schedule
  • 2.4 Performance-based pay
  • 3 Controlling for nonspecific effects
  • 3.1 Types of control conditions
  • 3.2 Assignment of participants to control conditions
  • 4 Assessing outcomes
  • 4.1 Different ways of assessing control over brain patterns
  • 4.2 Monitoring adverse events
  • 4.3 Collecting data on whether the participant blinding was maintained
  • 4.4 Following up subjects
  • 5 Conclusion
  • Acknowledgments
  • References
  • Section 2 Introduction to basic science section
  • References
  • Chapter 4 fMRI neurofeedback for perception and attention
  • 1 What approaches for fMRI neurofeedback training modulate perception and attention?
  • 1.1 Explicit vs implicit feedback
  • 1.2 Neural representations of targets
  • 2 What behavioral outcomes for perception and attention can be achieved by fMRI neurofeedback?
  • 2.1 Visual perception
  • 2.1.1 Early visual areas
  • 2.1.2 Higher-order visual areas
  • 2.1.3 Comparisons between neurofeedback in early and higher visual areas
  • 2.2 Auditory perception
  • 2.3 Attention
  • 3 How does fMRI neurofeedback allow us to explore causal relationships between brain activity and behavior?
  • 4 Summary
  • Conflict of Interest
  • References
  • Chapter 5 Studying episodic memory using real-time fMRI
  • 1 Introduction
  • 2 Encoding
  • 2.1 Neural basis and measures of encoding
  • 2.2 Methodological approaches for perturbing encoding
  • 3 Consolidation
  • 3.1 Neural basis and measures of consolidation
  • 3.2 Methodological approaches for perturbing consolidation
  • 4 Retrieval
  • 4.1 Neural basis and measures of retrieval
  • 4.2 Methodological approaches for perturbing retrieval
  • 5 Studying memory using real-time fMRI.
  • 5.1 Enhancing encoding or retrieval with real-time fMRI
  • 5.2 Inducing or disrupting item or category-specific representations
  • 5.3 Testing theories of learning-related change
  • 5.4 Leveraging expert brain states to enhance learning
  • 6 Conclusion
  • References
  • Chapter 6 Using fMRI neurofeedback to interrogate emotion, motivation, and social neurocognition
  • 1 Introduction
  • 2 Social and affective neuroscience
  • 3 Learning from neurofeedback: Assessments, evidence, and mechanisms
  • 4 Using fMRI neurofeedback to study social and affective neuroscience questions
  • 4.1 Reward processing and generation of motivated states
  • 4.1.1 Dopaminergic midbrain
  • 4.1.2 Nucleus accumbens
  • 4.1.3 Interim summary
  • 4.2 Emotion regulation
  • 4.2.1 Amygdala
  • 4.2.2 Hippocampus
  • 4.2.3 Insula
  • 4.2.4 Anterior cingulate cortex
  • 4.2.5 Multiple ROIs and functional connectivity-based neurofeedback
  • 4.2.6 Interim summary
  • 4.3 Empathy
  • 4.3.1 Insula
  • 4.4 Pain processing
  • 4.4.1 Anterior cingulate cortex and insula cortex
  • 4.4.2 Interim summary
  • 5 Conclusions and future directions
  • References
  • Section 3 Introduction to clinical section
  • References
  • Chapter 7 Design of clinical studies in neurofeedback
  • 1 General principles of clinical trial design
  • 2 Neurofeedback in the context of the framework for the development of complex interventions
  • 3 General challenges of NF studies
  • 4 Considerations for specific disease areas
  • 4.1 Depression
  • 4.2 Addiction
  • 4.3 Neurorehabilitation
  • 5 Summary
  • References
  • Chapter 8 fMRI neurofeedback for disorders of emotion regulation
  • 1 fMRI neurofeedback for major depressive disorder
  • 1.1 Disturbed process as NF target in MDD
  • 1.2 Compensatory function as NF target in MDD
  • 2 fMRI neurofeedback for posttraumatic stress disorder.
  • 2.1 Disturbed process as NF target in PTSD
  • 2.2 Compensatory function as NF target in PTSD
  • 3 fMRI NF for borderline personality disorder
  • 4 fMRI NF for phobia and other anxiety disorders
  • 5 Conclusions
  • Acknowledgments
  • References
  • Chapter 9 The treatment and study of psychiatric disorders with fMRI neurofeedback 
  • 1 Addiction and eating disorders
  • 1.1 Addiction
  • 1.2 Eating disorders
  • 2 Obsessive-compulsive disorder
  • 3 Neurodevelopmental disorders
  • 3.1 Attention deficit hyperactivity disorder
  • 3.2 Tourette syndrome
  • 3.3 Autism spectrum disorders
  • 4 Schizophrenia
  • 4.1 Positive symptoms: AVHs
  • 4.2 Negative symptoms: Social and cognitive deficits
  • 5 Psychopathy
  • 6 Conclusion
  • Acknowledgments
  • References
  • Chapter 10 Implicit decoded neurofeedback training as a clinical tool
  • 1 Implicit nature of decoded neurofeedback (DecNef)
  • 2 DecNef may benefit the treatment of fear-related disorders with its implicit nature
  • 3 Progressive development of DecNef as a clinical tool
  • 4 Potential mechanisms behind DecNef training
  • 5 Alleviating both implicit and explicit symptoms of anxiety disorders with DecNef
  • 6 Summary and future directions
  • References
  • Chapter 11 Hemodynamic neurofeedback in neurorehabilitation
  • 1 Rationale for hemodynamic neurofeedback in neurorehabilitation and proof of concept
  • 2 Hemodynamic neurofeedback studies in neurodegenerative diseases
  • 2.1 Parkinson's disease
  • 2.2 Huntington's disease
  • 2.3 Alzheimer's disease
  • 3 Hemodynamic neurofeedback studies in stroke
  • 4 FMRI-neurofeedback studies in tinnitus
  • 5 FMRI-neurofeedback studies in chronic pain
  • 6 Outlook
  • 7 Summary
  • References
  • Chapter 12 Translation to the clinic and other modalities
  • 1 Precision of the neuromodulation target
  • 1.1 Decoded NeuroFeedback (DecNeF).
  • 1.2 Functional connectivity NeuroFeedback (FCNef)
  • 1.3 Process-specific feedback context
  • 2 Scaling up the neuromodulation procedure
  • 2.1 Electrical Finger Print NF (EFP-NF)
  • 2.2 Harness mobile technology toward increasing NF accessibility
  • 3 Personalizing the neuromodulation effect
  • 3.1 Timing of training
  • 3.2 Individually tailored disorder-specific interface content
  • 4 Conclusion
  • Acknowledgments
  • References
  • Chapter 13 Mechanisms of fMRI neurofeedback
  • 1 Introduction
  • 2 Models of plasticity underlying fMRI neurofeedback training
  • 2.1 Closed-loop neurofeedback system
  • 2.2 Two models of plasticity
  • 3 Plasticity mechanisms based on conventional methods
  • 3.1 Common characteristics of conventional methods and findings
  • 3.2 Mechanisms of activation induction in the conventional neurofeedback studies
  • 3.3 How TNP and LM models explain the findings in conventional neurofeedback studies
  • 3.4 Limitations of the conventional methods
  • 4 Plasticity mechanisms based on recent methods
  • 4.1 Recent methodological advances
  • 4.1.1 Implicit neurofeedback
  • 4.1.2 fMRI multivariate analysis
  • 4.1.3 External reward
  • 4.2 Decoded neurofeedback
  • 4.2.1 An example procedure of DecNef
  • 4.2.2 Common results of DecNef studies
  • 4.3 Mechanisms of behavioral changes by DecNef
  • 5 Proposed neural mechanisms of targeted neural plasticity
  • 5.1 Neuronal-level architecture of the TNP model
  • 5.2 Three potential problems and solutions
  • 5.2.1 One-to-many correspondence
  • 5.2.2 Differences between evoked and spontaneous activity patterns
  • 5.2.3 Curse of dimensionality
  • 5.3 Empirical and computational evidence that support the proposed architecture of the TNP model
  • 5.3.1 Empirical evidence
  • 5.3.2 Computational evidence
  • 6 Summary and outstanding questions
  • Acknowledgment.

Ejemplares similares