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|2 23
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|a FMRI neurofeedback /
|c edited by Michelle Hampson.
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|a London :
|b Academic Press,
|c 2021.
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|a 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?.
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|a 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.
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|a 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.
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|a 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).
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|a 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.
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|i Print version:
|t FMRI neurofeedback.
|d London : Academic Press, 2021
|z 0128224215
|z 9780128224212
|w (OCoLC)1195468091
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|t FMRI NEUROFEEDBACK.
|d [S.l.] : ELSEVIER ACADEMIC PRESS, 2021
|z 0128224215
|w (OCoLC)1195468091
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|u https://sciencedirect.uam.elogim.com/science/book/9780128224212
|z Texto completo
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