Optimizing real time fMRI neurofeedback for therapeutic discovery and development
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Satrajit S. Ghosh | Todd W. Thompson | L. E. Stoeckel | K. A. Garrison | S. Ghosh | P. Wighton | C. A. Hanlon | J. M. Gilman | S. Greer | N. B. Turk-Browne | M. T. deBettencourt | D. Scheinost | C. Craddock | T. Thompson | V. Calderon | C. C. Bauer | M. George | H. C. Breiter | S. Whitfield-Gabrieli | J. D. Gabrieli | S.M. LaConte | L. Hirshberg | J. A. Brewer | M. Hampson | A. Van Der Kouwe | S. Mackey | A. E. Evins | H. Breiter | N. Turk-Browne | J. Gabrieli | A. Kouwe | S. LaConte | D. Scheinost | M. Hampson | J. Brewer | S. Whitfield-Gabrieli | M. George | L. Stoeckel | J. Gabrieli | C. Craddock | S. Mackey | H. Breiter | A. van der Kouwe | S. Mackey | S. Greer | P. Wighton | M. deBettencourt | A. Evins | K. Garrison | C. Hanlon | J. Gilman | L. Hirshberg | S. Ghosh | C. Bauer | T. Thompson | V. Calderon
[1] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[2] Judson A. Brewer,et al. Effortless awareness: using real time neurofeedback to investigate correlates of posterior cingulate cortex activity in meditators' self-report , 2013, Front. Hum. Neurosci..
[3] Tirin Moore,et al. Selective Attention from Voluntary Control of Neurons in Prefrontal Cortex , 2011, Science.
[4] Dustin Scheinost,et al. Real-time fMRI links subjective experience with brain activity during focused attention , 2013, NeuroImage.
[5] Karl J. Friston,et al. Amygdala–Hippocampal Involvement in Human Aversive Trace Conditioning Revealed through Event-Related Functional Magnetic Resonance Imaging , 1999, The Journal of Neuroscience.
[6] Erich Seifritz,et al. Real-time Neurofeedback Using Functional MRI Could Improve Down-Regulation of Amygdala Activity During Emotional Stimulation: A Proof-of-Concept Study , 2013, Brain Topography.
[7] L. K. Hansen,et al. Plurality and Resemblance in fMRI Data Analysis , 1999, NeuroImage.
[8] M. Arns,et al. Neurofeedback and Basic Learning Theory: Implications for Research and Practice , 2011 .
[9] K. Brady,et al. Sustained reduction of nicotine craving with real-time neurofeedback: exploring the role of severity of dependence. , 2013, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[10] Nikolaus Weiskopf,et al. Real-time fMRI neurofeedback , 2016 .
[11] Niels Birbaumer,et al. Real-time support vector classification and feedback of multiple emotional brain states , 2011, NeuroImage.
[12] S. Swinnen,et al. Systems Neuroplasticity in the Aging Brain: Recruiting Additional Neural Resources for Successful Motor Performance in Elderly Persons , 2008, The Journal of Neuroscience.
[13] James J Prisciandaro,et al. Real-time fMRI in the treatment of nicotine dependence: a conceptual review and pilot studies. , 2013, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.
[14] Niels Birbaumer,et al. Neurofeedback and brain-computer interface clinical applications. , 2009, International review of neurobiology.
[15] Vince D. Calhoun,et al. Mind over chatter: Plastic up-regulation of the fMRI salience network directly after EEG neurofeedback , 2013, NeuroImage.
[16] Russell Lang,et al. Research in Autism Spectrum Disorders , 2014 .
[17] R. DeCharms. Applications of real-time fMRI , 2008, Nature Reviews Neuroscience.
[18] A. Yonelinas. The Nature of Recollection and Familiarity: A Review of 30 Years of Research , 2002 .
[19] N. Jacobson,et al. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. , 1991, Journal of consulting and clinical psychology.
[20] A. Lozano,et al. Deep Brain Stimulation for Treatment-Resistant Depression , 2005, Neuron.
[21] E. Kandel,et al. Neuroscience thinks big (and collaboratively) , 2013, Nature Reviews Neuroscience.
[22] Stephan G. Boehm,et al. Upregulation of emotion areas through neurofeedback with a focus on positive mood , 2011, Cognitive, affective & behavioral neuroscience.
[23] Joo-Hyun Song,et al. Hyperspecificity in Visual Implicit Learning: Learning of Spatial Layout Is Contingent on Item Identity Contextual Cuing , 2022 .
[24] Niels Birbaumer,et al. Abnormal Neural Connectivity in Schizophrenia and fMRI-Brain-Computer Interface as a Potential Therapeutic Approach , 2012, Front. Psychiatry.
[25] Satrajit S. Ghosh,et al. Computing moment-to-moment BOLD activation for real-time neurofeedback , 2010, NeuroImage.
[26] R. DeCharms,et al. Reading and controlling human brain activation using real-time functional magnetic resonance imaging , 2007, Trends in Cognitive Sciences.
[27] Jonathan R. Folstein,et al. Category learning increases discriminability of relevant object dimensions in visual cortex. , 2013, Cerebral cortex.
[28] Dimitri Van De Ville,et al. Dynamic reconfiguration of human brain functional networks through neurofeedback , 2013, NeuroImage.
[29] W. K. Simmons,et al. Circular analysis in systems neuroscience: the dangers of double dipping , 2009, Nature Neuroscience.
[30] Han Yuan,et al. Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback , 2013, NeuroImage.
[31] Nikolaus Weiskopf,et al. Real-time fMRI and its application to neurofeedback , 2012, NeuroImage.
[32] Todd W. Thompson,et al. When the brain is prepared to learn: Enhancing human learning using real-time fMRI , 2011, NeuroImage.
[33] Lei Zhao,et al. Real-Time Adaptive Functional MRI , 1999, NeuroImage.
[34] Geraint Rees,et al. Improving Visual Perception through Neurofeedback , 2012, The Journal of Neuroscience.
[35] Camarin E. Rolle,et al. Video game training enhances cognitive control in older adults , 2013, Nature.
[36] John D E Gabrieli,et al. Control over brain activation and pain learned by using real-time functional MRI. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[37] R W Cox,et al. Real‐Time Functional Magnetic Resonance Imaging , 1995, Magnetic resonance in medicine.
[38] R. Christopher. Reading and controlling human brain activation using real-time functional magnetic resonance imaging , 2007 .
[39] Seung-Schik Yoo,et al. Functional MRI for neurofeedback: feasibility studyon a hand motor task , 2002, Neuroreport.
[40] Yaniv Assaf,et al. Learning in the Fast Lane: New Insights into Neuroplasticity , 2012, Neuron.
[41] M. Sur,et al. Patterning and Plasticity of the Cerebral Cortex , 2005, Science.
[42] J. Frazier,et al. Emerging brain-based interventions for children and adolescents: overview and clinical perspective. , 2005, Child and adolescent psychiatric clinics of North America.
[43] J. Desmond,et al. Making memories: brain activity that predicts how well visual experience will be remembered. , 1998, Science.
[44] Michael A. Stadler,et al. Handbook of implicit learning , 1998 .
[45] Takeo Watanabe,et al. Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation , 2011, Science.
[46] M. Sterman,et al. ELECTROPHYSIOLOGICAL CORRELATES AND NEURAL SUBSTRATES OF ALIMENTARY BEHAVIOR IN THE CAT * , 1969, Annals of the New York Academy of Sciences.
[47] Niels Birbaumer,et al. Real-Time fMRI , 2012, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[48] Michele Tarsilla. Cochrane Handbook for Systematic Reviews of Interventions , 2010, Journal of MultiDisciplinary Evaluation.
[49] M. Arns,et al. Efficacy of Neurofeedback Treatment in ADHD: The Effects on Inattention, Impulsivity and Hyperactivity: A Meta-Analysis , 2009, Clinical EEG and neuroscience.
[50] Dimitri Van De Ville,et al. Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training , 2014, NeuroImage.
[51] J. Higgins. Cochrane handbook for systematic reviews of interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration , 2011 .
[52] N. Logothetis,et al. Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.
[53] Fumiko Hoeft,et al. Strategy-dependent Dissociation of the Neural Correlates Involved in Pain Modulation , 2011, Anesthesiology.
[54] T. D. Papageorgiou,et al. Brain–computer interfaces increase whole-brain signal to noise , 2013, Proceedings of the National Academy of Sciences.
[55] Kymberly D. Young,et al. Real-Time fMRI Neurofeedback Training of Amygdala Activity in Patients with Major Depressive Disorder , 2014, PloS one.
[56] Yili Liu,et al. Introduction to Human Factors Engineering (2nd Edition) , 2003 .
[57] B. Scholl,et al. Flexible visual statistical learning: transfer across space and time. , 2009, Journal of experimental psychology. Human perception and performance.
[58] Anatol C. Kreitzer,et al. Plasticity in gray and white: neuroimaging changes in brain structure during learning , 2012, Nature Neuroscience.
[59] K J Friston,et al. The predictive value of changes in effective connectivity for human learning. , 1999, Science.
[60] M. Gluck,et al. Interactive memory systems in the human brain , 2001, Nature.
[61] Sven Haller,et al. Real-time fMRI feedback training may improve chronic tinnitus , 2010, European Radiology.
[62] A. Dale,et al. Building memories: remembering and forgetting of verbal experiences as predicted by brain activity. , 1998, Science.
[63] W. K. Simmons,et al. Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback , 2011, PloS one.
[64] Klaas E. Stephan,et al. Neurofeedback-mediated self-regulation of the dopaminergic midbrain , 2013, NeuroImage.
[65] Dustin Scheinost,et al. Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions , 2011, Brain Connect..
[66] Mark Hallett,et al. Modulation of functionally localized right insular cortex activity using real-time fMRI-based neurofeedback , 2013, Front. Hum. Neurosci..
[67] R. Goebel,et al. Real-Time Functional Magnetic Resonance Imaging Neurofeedback for Treatment of Parkinson's Disease , 2011, The Journal of Neuroscience.
[68] E Tulving,et al. Priming and human memory systems. , 1990, Science.
[69] C. Wickens,et al. An Introduction to Human Factors Engineering Second Edition , 2010 .
[70] Gary H. Glover,et al. Learned regulation of spatially localized brain activation using real-time fMRI , 2004, NeuroImage.
[71] J. Hogg. Magnetic resonance imaging. , 1994, Journal of the Royal Naval Medical Service.
[72] T. Egner,et al. Learned self-regulation of EEG frequency components affects attention and event-related brain potentials in humans , 2001, Neuroreport.
[73] L. Yao,et al. Improved Working Memory Performance through Self-Regulation of Dorsal Lateral Prefrontal Cortex Activation Using Real-Time fMRI , 2013, PloS one.
[74] Ricarda I. Schubotz,et al. Prediction, Cognition and the Brain , 2009, Front. Hum. Neurosci..
[75] Bonnie E. Shook-Sa,et al. . CC-BY-NC-ND 4 . 0 International licenseIt is made available under a is the author / funder , who has granted medRxiv a license to display the preprint in perpetuity , 2021 .
[76] B. Mensour,et al. Effect of neurofeedback training on the neural substrates of selective attention in children with attention-deficit/hyperactivity disorder: A functional magnetic resonance imaging study , 2006, Neuroscience Letters.
[77] Benedikt Zoefel,et al. Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance , 2011, NeuroImage.
[78] Li Yao,et al. Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI , 2013, Front. Hum. Neurosci..
[79] Epifanio Bagarinao,et al. Real-time Fmri Applied to Pain Management Nih Public Access Author Manuscript Real-time Functional Mri Motivation , 2022 .
[80] M. Meldrum,et al. A brief history of the randomized controlled trial. From oranges and lemons to the gold standard. , 2000, Hematology/oncology clinics of North America.
[81] Tilo Kircher,et al. Acquired self‐control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia , 2013, Human brain mapping.
[82] Bernhard Hommel,et al. Enhancing cognitive control through neurofeedback: A role of gamma-band activity in managing episodic retrieval , 2010, NeuroImage.
[83] Peter M. ten Klooster,et al. Psychometric Properties of the Five Facet Mindfulness Questionnaire in Depressed Adults and Development of a Short Form , 2011, Assessment.
[84] A. Glenberg,et al. Knowing Beans: Human Mirror Mechanisms Revealed Through Motor Adaptation , 2010, Front. Hum. Neurosci..
[85] John J. B. Allen,et al. Manipulation of frontal EEG asymmetry through biofeedback alters self-reported emotional responses and facial EMG. , 2001, Psychophysiology.
[86] C. Neuper,et al. Neural substrates of cognitive control under the belief of getting neurofeedback training , 2013, Front. Hum. Neurosci..
[87] R. Veit,et al. Self‐regulation of regional cortical activity using real‐time fMRI: The right inferior frontal gyrus and linguistic processing , 2009, Human brain mapping.
[88] R. Saxe,et al. Language processing in the occipital cortex of congenitally blind adults , 2011, Proceedings of the National Academy of Sciences.
[89] Barbara Tomasino,et al. Meditation-related activations are modulated by the practices needed to obtain it and by the expertise: an ALE meta-analysis study , 2013, Front. Hum. Neurosci..
[90] Gary H Glover,et al. Modulation of subgenual anterior cingulate cortex activity with real‐time neurofeedback , 2011, Human brain mapping.
[91] P. Maquet,et al. Neural correlates of perceptual learning: A functional MRI study of visual texture discrimination , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[92] Manfred Fahle,et al. Perceptual learning: gain without pain? , 2002, Nature Neuroscience.
[93] Hubert Preissl,et al. The Obese Brain Athlete: Self-Regulation of the Anterior Insula in Adiposity , 2012, PloS one.
[94] Bettina Sorger,et al. Real-Time Self-Regulation of Emotion Networks in Patients with Depression , 2012, PloS one.
[95] Wolfgang Grodd,et al. Regulation of anterior insular cortex activity using real-time fMRI , 2007, NeuroImage.
[96] K. Brady,et al. Reduction of cue-induced craving through realtime neurofeedback in nicotine users: The role of region of interest selection and multiple visits , 2013, Psychiatry Research: Neuroimaging.
[97] Nikolaus Weiskopf,et al. Single-shot compensation of image distortions and BOLD contrast optimization using multi-echo EPI for real-time fMRI , 2005, NeuroImage.
[98] K. Grill-Spector,et al. Repetition and the brain: neural models of stimulus-specific effects , 2006, Trends in Cognitive Sciences.
[99] R. Vanwersch,et al. Neurofeedback training on sensorimotor rhythmin marmoset monkeys , 2010, Neuroreport.
[100] Martin M. Monti,et al. Human Neuroscience , 2022 .
[101] Niels Birbaumer,et al. Volitional Control of Anterior Insula Activity Modulates the Response to Aversive Stimuli. A Real-Time Functional Magnetic Resonance Imaging Study , 2010, Biological Psychiatry.
[102] Ethan R. Buch,et al. Physiological regulation of thinking: brain-computer interface (BCI) research. , 2006, Progress in brain research.
[103] Niels Birbaumer,et al. Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks , 2014, Biological Psychology.
[104] Kevin A. Johnson,et al. Intermittent “Real‐time” fMRI Feedback Is Superior to Continuous Presentation for a Motor Imagery Task: A Pilot Study , 2012, Journal of neuroimaging : official journal of the American Society of Neuroimaging.
[105] Evan Thompson,et al. Meditation Experience Predicts Introspective Accuracy , 2012, PloS one.
[106] R T Constable,et al. Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity , 2013, Translational Psychiatry.
[107] R. Veit,et al. Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI) , 2004, Journal of Physiology-Paris.
[108] Valery A Ponomarev,et al. ERPs correlates of EEG relative beta training in ADHD children. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[109] Neil S. Jacobson,et al. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. , 1991 .
[110] Kevin A. Johnson,et al. Volitional reduction of anterior cingulate cortex activity produces decreased cue craving in smoking cessation: a preliminary real‐time fMRI study , 2013, Addiction biology.
[111] S. Klein,et al. Complete Transfer of Perceptual Learning across Retinal Locations Enabled by Double Training , 2008, Current Biology.
[112] Marvin M. Chun,et al. Babies and Brains: Habituation in Infant Cognition and Functional Neuroimaging , 2008, Frontiers in human neuroscience.
[113] J. Sweller,et al. Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions , 2005 .
[114] Sven Haller,et al. Real-time fMRI neurofeedback: Progress and challenges , 2013, NeuroImage.
[115] Michael Erb,et al. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data , 2003, NeuroImage.
[116] R. Poldrack. Can cognitive processes be inferred from neuroimaging data? , 2006, Trends in Cognitive Sciences.
[117] Nick Medford,et al. Self-regulation of the anterior insula: Reinforcement learning using real-time fMRI neurofeedback , 2014, NeuroImage.
[118] C. Hamani,et al. Deep brain stimulation for treatment-resistant depression. , 2010, The American journal of psychiatry.
[119] J. O'Doherty,et al. Direct Instrumental Conditioning of Neural Activity Using Functional Magnetic Resonance Imaging-Derived Reward Feedback , 2007, The Journal of Neuroscience.
[120] R. Deichmann,et al. Real-time functional magnetic resonance imaging: methods and applications. , 2007, Magnetic resonance imaging.
[121] T. Egner,et al. Validating the efficacy of neurofeedback for optimising performance. , 2006, Progress in brain research.
[122] C. Marlin Brown,et al. Human-Computer Interface Design Guidelines , 1998 .
[123] Christopher D. Wickens,et al. An introduction to human factors engineering , 1997 .
[124] Mark Chiew,et al. Investigation of fMRI neurofeedback of differential primary motor cortex activity using kinesthetic motor imagery , 2012, NeuroImage.
[125] M. Botvinick,et al. Neural representations of events arise from temporal community structure , 2013, Nature Neuroscience.
[126] Maolin Qiu,et al. Real-time fMRI biofeedback targeting the orbitofrontal cortex for contamination anxiety. , 2012, Journal of visualized experiments : JoVE.
[127] Kenneth F Schulz,et al. Generation of allocation sequences in randomised trials: chance, not choice , 2002, The Lancet.
[128] Jong-Hwan Lee,et al. Functional magnetic resonance imaging-mediated learning of increased activity in auditory areas , 2007, Neuroreport.
[129] Bart Vanrumste,et al. Journal of Neuroengineering and Rehabilitation Open Access Review on Solving the Inverse Problem in Eeg Source Analysis , 2022 .
[130] N. Birbaumer,et al. Learned regulation of brain metabolism , 2013, Trends in Cognitive Sciences.
[131] W. Marchand. Mindfulness meditation practices as adjunctive treatments for psychiatric disorders. , 2013, The Psychiatric clinics of North America.
[132] Marco Congedo,et al. Neurofeedback Improves Executive Functioning in Children with Autism Spectrum Disorders. , 2009 .
[133] Maud Marchal,et al. The Mind-Mirror: See your brain in action in your head using EEG and augmented reality , 2014, 2014 IEEE Virtual Reality (VR).
[134] Stephen LaConte,et al. Decoding fMRI brain states in real-time , 2011, NeuroImage.
[135] Heidi Johansen-Berg,et al. Faculty of 1000 evaluation for Acquired control of ventral premotor cortex activity by feedback training: an exploratory real-time FMRI and TMS study. , 2012 .
[136] Gary H. Glover,et al. Control of nucleus accumbens activity with neurofeedback , 2014, NeuroImage.
[137] Jerzy Bodurka,et al. Prefrontal Control of the Amygdala during Real-Time fMRI Neurofeedback Training of Emotion Regulation , 2013, PloS one.
[138] Bogdan Draganski,et al. Neuroplasticity: Changes in grey matter induced by training , 2004, Nature.