Neurofeedback with fMRI: A critical systematic review

&NA; Neurofeedback relying on functional magnetic resonance imaging (fMRI‐nf) heralds new prospects for self‐regulating brain and behavior. Here we provide the first comprehensive review of the fMRI‐nf literature and the first systematic database of fMRI‐nf findings. We synthesize information from 99 fMRI‐nf experiments—the bulk of currently available data. The vast majority of fMRI‐nf findings suggest that self‐regulation of specific brain signatures seems viable; however, replication of concomitant behavioral outcomes remains sparse. To disentangle placebo influences and establish the specific effects of neurofeedback, we highlight the need for double‐blind placebo‐controlled studies alongside rigorous and standardized statistical analyses. Before fMRI‐nf can join the clinical armamentarium, research must first confirm the sustainability, transferability, and feasibility of fMRI‐nf in patients as well as in healthy individuals. Whereas modulating specific brain activity promises to mold cognition, emotion, thought, and action, reducing complex mental health issues to circumscribed brain regions may represent a tenuous goal. We can certainly change brain activity with fMRI‐nf. However, it remains unclear whether such changes translate into meaningful behavioral improvements in the clinical domain. HighlightsWe conducted a systematic review of 99 fMRI neurofeedback (fMRI‐nf) experiments.fMRI‐nf successfully drives BOLD regulation and behavioral change.BOLD regulation guarantees neither neural regulation nor clinical improvement.Psychosocial factors may contribute to regulation of BOLD signal and behavior.Efficacy remains undetermined because few studies test for clinical significance.

[1]  Dustin Scheinost,et al.  Real-time fMRI links subjective experience with brain activity during focused attention , 2013, NeuroImage.

[2]  Alexis Wright,et al.  Clinimetrics corner: a closer look at the minimal clinically important difference (MCID) , 2012, The Journal of manual & manipulative therapy.

[3]  J. D. Watson,et al.  The Future of Psychiatric Research: Genomes and Neural Circuits , 2010, Science.

[4]  Philipp M. Keune,et al.  Neurofeedback, sham neurofeedback, and cognitive-behavioural group therapy in adults with attention-deficit hyperactivity disorder: a triple-blind, randomised, controlled trial. , 2017, Lancet psychiatry.

[5]  M. Orne On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications. , 1962 .

[6]  Ying Wang,et al.  Morphometric Identification of Queens, Workers and Intermediates in In Vitro Reared Honey Bees (Apis mellifera) , 2015, PloS one.

[7]  Jerzy Bodurka,et al.  Real-Time Functional Magnetic Resonance Imaging Amygdala Neurofeedback Changes Positive Information Processing in Major Depressive Disorder , 2017, Biological Psychiatry.

[8]  Klaus Mathiak,et al.  Social reinforcement can regulate localized brain activity , 2010, European Archives of Psychiatry and Clinical Neuroscience.

[9]  Mark Chiew,et al.  Investigation of fMRI neurofeedback of differential primary motor cortex activity using kinesthetic motor imagery , 2012, NeuroImage.

[10]  Peter A. Bandettini,et al.  Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI , 2006, NeuroImage.

[11]  Dimitri Van De Ville,et al.  Dynamic reconfiguration of human brain functional networks through neurofeedback , 2013, NeuroImage.

[12]  Niels Birbaumer,et al.  Detection of Cerebral Reorganization Induced by Real-Time fMRI Feedback Training of Insula Activation , 2011, Neurorehabilitation and neural repair.

[13]  Mark Hallett,et al.  Modulation of functionally localized right insular cortex activity using real-time fMRI-based neurofeedback , 2013, Front. Hum. Neurosci..

[14]  S. W. Rieger,et al.  Learning Control Over Emotion Networks Through Connectivity‐Based Neurofeedback , 2015, Cerebral cortex.

[15]  Niels Birbaumer,et al.  Acquired Control of Ventral Premotor Cortex Activity by Feedback Training , 2012, Neurorehabilitation and neural repair.

[16]  Michael Lifshitz,et al.  Neurofeedback, Self-Regulation, and Brain Imaging: Clinical Science and Fad in the Service of Mental Disorders , 2015, Psychotherapy and Psychosomatics.

[17]  James J Gross,et al.  The temporal dynamics of emotional acceptance: Experience, expression, and physiology , 2015, Biological Psychology.

[18]  Niels Birbaumer,et al.  Using real-time fMRI to learn voluntary regulation of the anterior insula in the presence of threat-related stimuli. , 2012, Social cognitive and affective neuroscience.

[19]  Dimitri Van De Ville,et al.  Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary results , 2019, Neuropsychological rehabilitation.

[20]  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.

[21]  Rafael Malach,et al.  Differential Magnetic Resonance Neurofeedback Modulations across Extrinsic (Visual) and Intrinsic (Default-Mode) Nodes of the Human Cortex , 2015, The Journal of Neuroscience.

[22]  G. Glover,et al.  Assessment of cerebral oxidative metabolism with breath holding and fMRI , 1999, Magnetic resonance in medicine.

[23]  小林 庄一,et al.  Breath holding , 2001 .

[24]  Kymberly D. Young,et al.  Correlation between amygdala BOLD activity and frontal EEG asymmetry during real-time fMRI neurofeedback training in patients with depression , 2014, NeuroImage: Clinical.

[25]  Li Yao,et al.  Functional connectivity alteration after real-time fMRI motor imagery training through self-regulation of activities of the right premotor cortex , 2015, BMC Neuroscience.

[26]  K. Button,et al.  Statistical Rigor and the Perils of Chance , 2016, eNeuro.

[27]  Peter A. Bandettini,et al.  The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration , 2008, NeuroImage.

[28]  Jong-Hwan Lee,et al.  Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagery , 2008 .

[29]  A. Chun On the brain , 2007 .

[30]  Mitsuo Kawato,et al.  Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants , 2017, NeuroImage.

[31]  Murat Yücel,et al.  The Neurobiology of Cannabis Use Disorders: A Call for Evidence , 2016, Frontiers in Behavioral Neuroscience.

[32]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement , 2009, BMJ : British Medical Journal.

[33]  Jerzy Bodurka,et al.  Randomized Clinical Trial of Real-Time fMRI Amygdala Neurofeedback for Major Depressive Disorder: Effects on Symptoms and Autobiographical Memory Recall. , 2017, The American journal of psychiatry.

[34]  R. Lanius,et al.  The neurobiology of emotion regulation in posttraumatic stress disorder: Amygdala downregulation via real‐time fMRI neurofeedback , 2017, Human brain mapping.

[35]  M. Erb,et al.  Activation of Cortical and Cerebellar Motor Areas during Executed and Imagined Hand Movements: An fMRI Study , 1999, Journal of Cognitive Neuroscience.

[36]  Geraint Rees,et al.  Improving Visual Perception through Neurofeedback , 2012, The Journal of Neuroscience.

[37]  Xueliang Pan,et al.  EEG Neurofeedback for ADHD , 2013, Journal of attention disorders.

[38]  Gary H. Glover,et al.  Breath holding reveals differences in fMRI BOLD signal in children and adults , 2005, NeuroImage.

[39]  M. Kawato,et al.  Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance , 2017, Cerebral cortex.

[40]  Dan Ariely,et al.  Commercial features of placebo and therapeutic efficacy. , 2008, JAMA.

[41]  Jong-Hwan Lee,et al.  Functional magnetic resonance imaging-mediated learning of increased activity in auditory areas , 2007, Neuroreport.

[42]  B. Seymour,et al.  Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure , 2016, Nature Human Behaviour.

[43]  N. Birbaumer,et al.  Learned regulation of brain metabolism , 2013, Trends in Cognitive Sciences.

[44]  A. David,et al.  Real‐time fMRI neurofeedback in adolescents with attention deficit hyperactivity disorder , 2017, Human brain mapping.

[45]  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.

[46]  Manuel Schabus,et al.  Better than sham? A double-blind placebo-controlled neurofeedback study in primary insomnia , 2017, Brain : a journal of neurology.

[47]  Roberto Lent,et al.  Enhancing Motor Network Activity Using Real-Time Functional MRI Neurofeedback of Left Premotor Cortex , 2015, Front. Behav. Neurosci..

[48]  Phillip Wolff,et al.  Causal reasoning with forces , 2015, Front. Hum. Neurosci..

[49]  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..

[50]  M. Ruf,et al.  Alterations of amygdala-prefrontal connectivity with real-time fMRI neurofeedback in BPD patients. , 2016, Social cognitive and affective neuroscience.

[51]  Dimitri Van De Ville,et al.  Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training , 2014, NeuroImage.

[52]  Jonathan D. Cohen,et al.  Closed-loop training of attention with real-time brain imaging , 2015, Nature Neuroscience.

[53]  Niels Birbaumer,et al.  Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: a pilot study , 2014, Front. Behav. Neurosci..

[54]  Wolfgang Grodd,et al.  Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI) , 2004, IEEE Transactions on Biomedical Engineering.

[55]  Michael Lührs,et al.  Increasing Lateralized Motor Activity in Younger and Older Adults using Real-time fMRI during Executed Movements , 2017, Neuroscience.

[56]  Michael C. Frank,et al.  Estimating the reproducibility of psychological science , 2015, Science.

[57]  Takeo Watanabe,et al.  Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation , 2011, Science.

[58]  R. Goebel,et al.  fMRI Neurofeedback Training for Increasing Anterior Cingulate Cortex Activation in Adult Attention Deficit Hyperactivity Disorder. An Exploratory Randomized, Single-Blinded Study , 2017, PloS one.

[59]  Li Tong,et al.  Altered Resting-State Amygdala Functional Connectivity after Real-Time fMRI Emotion Self-Regulation Training , 2016, BioMed research international.

[60]  Y. Koush,et al.  Upregulation of the Rostral Anterior Cingulate Cortex can Alter the Perception of Emotions: fMRI-Based Neurofeedback at 3 and 7 T , 2014, Brain Topography.

[61]  Li Yao,et al.  Modulation of functional network with real-time fMRI feedback training of right premotor cortex activity , 2014, Neuropsychologia.

[62]  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..

[63]  Nick Medford,et al.  Self-regulation of the anterior insula: Reinforcement learning using real-time fMRI neurofeedback , 2014, NeuroImage.

[64]  Pegah Sarkheil,et al.  Targeting Treatment-Resistant Auditory Verbal Hallucinations in Schizophrenia with fMRI-Based Neurofeedback – Exploring Different Cases of Schizophrenia , 2016, Front. Psychiatry.

[65]  R. Goebel,et al.  Brain–computer interfaces for communication with nonresponsive patients , 2012, Annals of neurology.

[66]  Christian Paret,et al.  Down-regulation of amygdala activation with real-time fMRI neurofeedback in a healthy female sample , 2014, Front. Behav. Neurosci..

[67]  Sven Haller,et al.  Real-time fMRI feedback training may improve chronic tinnitus , 2010, European Radiology.

[68]  Christian Paret,et al.  fMRI neurofeedback of amygdala response to aversive stimuli enhances prefrontal–limbic brain connectivity , 2016, NeuroImage.

[69]  Rafael Malach,et al.  Covert neurofeedback without awareness shapes cortical network spontaneous connectivity , 2016, Proceedings of the National Academy of Sciences.

[70]  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.

[71]  Gary H. Glover,et al.  Learned regulation of spatially localized brain activation using real-time fMRI , 2004, NeuroImage.

[72]  Takeo Watanabe,et al.  Differential Activation Patterns in the Same Brain Region Led to Opposite Emotional States , 2016, PLoS biology.

[73]  M. D’Esposito,et al.  Reducing vascular variability of fMRI data across aging populations using a breathholding task , 2007, Human brain mapping.

[74]  P. Wighton,et al.  Optimizing real time fMRI neurofeedback for therapeutic discovery and development , 2014, NeuroImage: Clinical.

[75]  S. Rennard,et al.  Please address correspondence to: , 2001 .

[76]  B. Ertl-Wagner,et al.  Modulation of Craving Related Brain Responses Using Real-Time fMRI in Patients with Alcohol Use Disorder , 2015, PloS one.

[77]  Scott D. Brown,et al.  A purely confirmatory replication study of structural brain-behavior correlations , 2015, Cortex.

[78]  S. Levinson,et al.  WEIRD languages have misled us, too , 2010, Behavioral and Brain Sciences.

[79]  Geraint Rees,et al.  Connectivity Changes Underlying Neurofeedback Training of Visual Cortex Activity , 2014, PloS one.

[80]  Tilo Kircher,et al.  Self-Regulation of Anterior Insula with Real-Time fMRI and Its Behavioral Effects in Obsessive-Compulsive Disorder: A Feasibility Study , 2015, PloS one.

[81]  Stephan Bender,et al.  Amygdala Regulation Following fMRI-Neurofeedback without Instructed Strategies , 2016, Front. Hum. Neurosci..

[82]  Takeo Watanabe,et al.  Advances in fMRI Real-Time Neurofeedback , 2017, Trends in Cognitive Sciences.

[83]  Natalia S. Lawrence,et al.  Neurofeedback of visual food cue reactivity: a potential avenue to alter incentive sensitization and craving , 2016, Brain Imaging and Behavior.

[84]  Michael Lifshitz,et al.  Empirical neuroenchantment: from reading minds to thinking critically , 2014, Front. Hum. Neurosci..

[85]  Michael P. Weisend,et al.  Combining Real-Time fMRI Neurofeedback Training of the DLPFC with N-Back Practice Results in Neuroplastic Effects Confined to the Neurofeedback Target Region , 2016, Front. Behav. Neurosci..

[86]  Ruben C. Gur,et al.  Cognitive and neural strategies during control of the anterior cingulate cortex by fMRI neurofeedback in patients with schizophrenia , 2015, Front. Behav. Neurosci..

[87]  Hubert Preissl,et al.  The Obese Brain Athlete: Self-Regulation of the Anterior Insula in Adiposity , 2012, PloS one.

[88]  Gerhard Kuhn,et al.  Limited grounding-line advance onto the West Antarctic continental shelf in the easternmost Amundsen Sea Embayment during the last glacial period , 2017, PloS one.

[89]  R. DeCharms,et al.  Quantification of Adverse Events Associated with Functional MRI Scanning and with Real-Time fMRI-Based Training , 2012, International Journal of Behavioral Medicine.

[90]  Paul W Schenk 'Just breathe normally': word choices that trigger nocebo responses in patients. , 2008, The American journal of nursing.

[91]  R. Sitaram,et al.  How feedback, motor imagery, and reward influence brain self‐regulation using real‐time fMRI , 2016, Human brain mapping.

[92]  Niels Birbaumer,et al.  Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks , 2014, Biological Psychology.

[93]  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.

[94]  Roger B. Davis,et al.  Sham device v inert pill: randomised controlled trial of two placebo treatments , 2006, BMJ : British Medical Journal.

[95]  M. Kawato,et al.  Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network , 2015, Front. Hum. Neurosci..

[96]  R T Constable,et al.  Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity , 2013, Translational Psychiatry.

[97]  Brian A. Nosek,et al.  Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.

[98]  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.

[99]  Anatole Lécuyer,et al.  Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task , 2016, Front. Hum. Neurosci..

[100]  Federico Schena,et al.  The Moving Rubber Hand Illusion Reveals that Explicit Sense of Agency for Tapping Movements Is Preserved in Functional Movement Disorders , 2017, Front. Hum. Neurosci..

[101]  Bart Rypma,et al.  Hemodynamic scaling of fMRI-BOLD signal: validation of low-frequency spectral amplitude as a scalability factor. , 2007, Magnetic resonance imaging.

[102]  M. Lobo,et al.  Shining light on motivation, emotion, and memory processes , 2015, Front. Behav. Neurosci..

[103]  G. Raposo,et al.  BLOC-1 Brings Together the Actin and Microtubule Cytoskeletons to Generate Recycling Endosomes , 2016, Current Biology.

[104]  C Dealey Measuring the prevalence and incidence of pressure sores. , 1993, British journal of nursing.

[105]  Austin Lee Nichols,et al.  The Good-Subject Effect: Investigating Participant Demand Characteristics , 2008, The Journal of general psychology.

[106]  Jarrod A. Lewis-Peacock,et al.  Closed-loop brain training: the science of neurofeedback , 2017, Nature Reviews Neuroscience.

[107]  Bettina Sorger,et al.  When the Brain Takes ‘BOLD’ Steps: Real-Time fMRI Neurofeedback Can Further Enhance the Ability to Gradually Self-regulate Regional Brain Activation , 2016, Neuroscience.

[108]  Han Yuan,et al.  Resting-State Functional Connectivity Modulation and Sustained Changes After Real-Time Functional Magnetic Resonance Imaging Neurofeedback Training in Depression , 2014, Brain Connect..

[109]  David E. J. Linden,et al.  Functional Magnetic Resonance Imaging Neurofeedback-guided Motor Imagery Training and Motor Training for Parkinson’s Disease: Randomized Trial , 2016, Front. Behav. Neurosci..

[110]  Regula S Briellmann,et al.  Brief breath holding may confound functional magnetic resonance imaging studies , 2005, Human brain mapping.

[111]  Nan-kuei Chen,et al.  Cognitive Neurostimulation: Learning to Volitionally Sustain Ventral Tegmental Area Activation , 2016, Neuron.

[112]  Robert T. Thibault,et al.  When can neurofeedback join the clinical armamentarium? , 2016, The lancet. Psychiatry.

[113]  I. Habes,et al.  Real-time fMRI-based neurofeedback in depression , 2014 .

[114]  Rainer Goebel,et al.  Cognitive Improvement and Brain Changes after Real-Time Functional MRI Neurofeedback Training in Healthy Elderly and Prodromal Alzheimer’s Disease , 2017, Front. Neurol..

[115]  Sven Haller,et al.  Real-time fMRI neurofeedback: Progress and challenges , 2013, NeuroImage.

[116]  Robert T. Thibault,et al.  The self-regulating brain and neurofeedback: Experimental science and clinical promise , 2016, Cortex.

[117]  Dimitri Van De Ville,et al.  Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback , 2017, Front. Hum. Neurosci..

[118]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[119]  Kymberly D. Young,et al.  Real-Time fMRI Neurofeedback Training of Amygdala Activity in Patients with Major Depressive Disorder , 2014, PloS one.

[120]  Niels Birbaumer,et al.  Improving Motor Corticothalamic Communication After Stroke Using Real-Time fMRI Connectivity-Based Neurofeedback , 2016, Neurorehabilitation and neural repair.

[121]  Dimitri Van De Ville,et al.  Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks , 2012, NeuroImage.

[122]  Dustin Scheinost,et al.  Neural Correlates of Success and Failure Signals During Neurofeedback Learning , 2016, Neuroscience.

[123]  Teresa Sousa,et al.  Visual motion imagery neurofeedback based on the hMT+/V5 complex: evidence for a feedback-specific neural circuit involving neocortical and cerebellar regions , 2015, Journal of neural engineering.

[124]  Bruce Thompson,et al.  "Statistical," "practical", and "clinical": How many kinds of significance do counselors need to consider? , 2002 .

[125]  C. B. Colby The weirdest people in the world , 1973 .

[126]  Peng Ren,et al.  Voluntary control of anterior insula and its functional connections is feedback-independent and increases pain empathy , 2016, NeuroImage.

[127]  Bart Rypma,et al.  r Human Brain Mapping 32:1125–1140 (2011) r Increasing Measurement Accuracy of Age-Related BOLD Signal Change: Minimizing Vascular Contributions by Resting-State-Fluctuation-of-Amplitude Scaling , 2022 .

[128]  John F. Kihlstrom,et al.  Demand Characteristics in the Laboratory and the Clinic: Conversations and Collaborations With Subjects and Patients , 2002 .

[129]  Bettina Sorger,et al.  Real-time fMRI-based self-regulation of brain activation across different visual feedback presentations , 2017 .

[130]  Sven Haller,et al.  Comparison of anterior cingulate vs. insular cortex as targets for real-time fMRI regulation during pain stimulation , 2014, Front. Behav. Neurosci..

[131]  R. Goebel,et al.  fMRI feedback enhances emotion regulation as evidenced by a reduced amygdala response , 2015, Behavioural Brain Research.

[132]  Bin He,et al.  Negative covariation between task-related responses in alpha/beta-band activity and BOLD in human sensorimotor cortex: An EEG and fMRI study of motor imagery and movements , 2010, NeuroImage.

[133]  Kristian Lum,et al.  Limitations of mitigating judicial bias with machine learning , 2017, Nature Human Behaviour.

[134]  Takeo Watanabe,et al.  Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation , 2012 .

[135]  Seung-Schik Yoo,et al.  Functional MRI for neurofeedback: feasibility studyon a hand motor task , 2002, Neuroreport.

[136]  S G Thompson,et al.  Systematic Review: Why sources of heterogeneity in meta-analysis should be investigated , 1994, BMJ.

[137]  Daniel R Weinberger,et al.  Finding the Elusive Psychiatric "Lesion" With 21st-Century Neuroanatomy: A Note of Caution. , 2015, The American journal of psychiatry.

[138]  M. Kawato,et al.  Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance , 2016, Nature Communications.

[139]  Neil S. Jacobson,et al.  Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. , 1991 .

[140]  S. Swinnen,et al.  Topological correlations of structural and functional networks in patients with traumatic brain injury , 2013, Front. Hum. Neurosci..

[141]  Johannes Schemmel,et al.  The high-conductance state enables neural sampling in networks of LIF neurons , 2015, BMC Neuroscience.

[142]  Kristian Thorlund,et al.  Improving the interpretation of quality of life evidence in meta-analyses: the application of minimal important difference units , 2010, Health and quality of life outcomes.

[143]  R. Malach,et al.  The Day-After Effect: Long Term, Hebbian-Like Restructuring of Resting-State fMRI Patterns Induced by a Single Epoch of Cortical Activation , 2013, The Journal of Neuroscience.

[144]  Niels Birbaumer,et al.  Volitional regulation of the supplementary motor area with fMRI-BCI neurofeedback in Parkinson's disease: A pilot study , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

[145]  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.

[146]  Leif D. Nelson,et al.  False-Positive Psychology , 2011, Psychological science.

[147]  Gary H. Glover,et al.  Control of nucleus accumbens activity with neurofeedback , 2014, NeuroImage.

[148]  Duncan L. Turner,et al.  Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation , 2016, Current opinion in neurology.

[149]  Soo-Young Lee,et al.  Brain–computer interface using fMRI: spatial navigation by thoughts , 2004, Neuroreport.

[150]  Jong-Hwan Lee,et al.  The Inclusion of Functional Connectivity Information into fMRI-based Neurofeedback Improves Its Efficacy in the Reduction of Cigarette Cravings , 2015, Journal of Cognitive Neuroscience.

[151]  Michelle Hampson,et al.  Real-Time fMRI Neurofeedback with War Veterans with Chronic PTSD: A Feasibility Study , 2016, Front. Psychiatry.

[152]  Linyuan Wang,et al.  Self-regulating positive emotion networks by feedback of multiple emotional brain states using real-time fMRI , 2016, Experimental Brain Research.

[153]  Peter Lepping,et al.  What does the HAMD mean? , 2013, Journal of affective disorders.

[154]  B. B. Biswal,et al.  Hemodynamic scaling of fMRI-BOLD signal amplitude in normal aging , 2008 .

[155]  K. Brady,et al.  Individualized real-time fMRI neurofeedback to attenuate craving in nicotine-dependent smokers. , 2016, Journal of psychiatry & neuroscience : JPN.

[156]  J. J. Cicchese,et al.  Hippocampal Non-Theta-Contingent Eyeblink Classical Conditioning: A Model System for Neurobiological Dysfunction , 2016, Front. Psychiatry.

[157]  E. Wagenmakers,et al.  Erroneous analyses of interactions in neuroscience: a problem of significance , 2011, Nature Neuroscience.

[158]  Michael P. Weisend,et al.  Enhanced control of dorsolateral prefrontal cortex neurophysiology with real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback training and working memory practice , 2016, NeuroImage.

[159]  Sven Haller,et al.  Active pain coping is associated with the response in real-time fMRI neurofeedback during pain , 2016, Brain Imaging and Behavior.

[160]  C. Neuper,et al.  Neural substrates of cognitive control under the belief of getting neurofeedback training , 2013, Front. Hum. Neurosci..

[161]  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.

[162]  Albert H. van der Veer,et al.  Volitional regulation of brain responses to food stimuli in overweight and obese subjects: A real-time fMRI feedback study , 2017, Appetite.

[163]  Gaoyan Zhang,et al.  Functional Alteration of the DMN by Learned Regulation of the PCC Using Real-Time fMRI , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[164]  Roger Gassert,et al.  Improvement in precision grip force control with self-modulation of primary motor cortex during motor imagery , 2015, Front. Behav. Neurosci..

[165]  J. A. Pruszynski,et al.  Neural correlates , 2023 .

[166]  Han Yuan,et al.  Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback , 2013, NeuroImage.

[167]  Dimitri Van De Ville,et al.  Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated? , 2016, NeuroImage.

[168]  Mariela Rance,et al.  Neurofeedback of the difference in activation of the anterior cingulate cortex and posterior insular cortex: two functionally connected areas in the processing of pain , 2014, Front. Behav. Neurosci..

[169]  Matthew Thompson,et al.  The Predictive Value of the NICE “Red Traffic Lights” in Acutely Ill Children , 2014, PloS one.

[170]  Li Li,et al.  Self-Regulation of Brain Activity in Patients with Postherpetic Neuralgia: A Double-Blind Randomized Study Using Real-Time fMRI Neurofeedback , 2015, PloS one.

[171]  M. Boly,et al.  Willful modulation of brain activity in disorders of consciousness. , 2010, The New England journal of medicine.

[172]  Bettina Sorger,et al.  fMRI neurofeedback facilitates anxiety regulation in females with spider phobia , 2015, Front. Behav. Neurosci..

[173]  Lawrence P. Panych,et al.  Increasing cortical activity in auditory areas through neurofeedback functional magnetic resonance imaging , 2006, Neuroreport.

[174]  Jong-Hwan Lee,et al.  Real-time fMRI-based neurofeedback reinforces causality of attention networks , 2012, Neuroscience Research.

[175]  Stephan G. Boehm,et al.  Upregulation of emotion areas through neurofeedback with a focus on positive mood , 2011, Cognitive, affective & behavioral neuroscience.

[176]  K. Luan Phan,et al.  Functional Neuroanatomy of Emotion: A Meta-Analysis of Emotion Activation Studies in PET and fMRI , 2002, NeuroImage.

[177]  Teresa Sousa,et al.  Control of Brain Activity in hMT+/V5 at Three Response Levels Using fMRI-Based Neurofeedback/BCI , 2016, PloS one.

[178]  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.

[179]  Jin Fan,et al.  Hypnotic suggestion reduces conflict in the human brain. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[180]  Jens Frahm,et al.  Training Efficiency and Transfer Success in an Extended Real-Time Functional MRI Neurofeedback Training of the Somatomotor Cortex of Healthy Subjects , 2015, Front. Hum. Neurosci..

[181]  Jeff H. Duyn,et al.  Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal , 2007, NeuroImage.

[182]  Rodrigo Basilio,et al.  Voluntary Enhancement of Neural Signatures of Affiliative Emotion Using fMRI Neurofeedback , 2014, PloS one.

[183]  Y. Koush,et al.  Continuous vs. intermittent neurofeedback to regulate auditory cortex activity of tinnitus patients using real-time fMRI - A pilot study , 2017, NeuroImage: Clinical.

[184]  R. DeCharms Applications of real-time fMRI , 2008, Nature Reviews Neuroscience.

[185]  Jianfeng Feng,et al.  Using real-time fMRI to influence effective connectivity in the developing emotion regulation network , 2016, NeuroImage.

[186]  Catie Chang,et al.  Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder , 2016, Psychiatry Research: Neuroimaging.

[187]  J. Ioannidis Why Most Published Research Findings Are False , 2005, PLoS medicine.

[188]  G Pampiglione Assessment of cerebral function. , 1971, Proceedings of the Royal Society of Medicine.

[189]  Niels Birbaumer,et al.  Reorganization of functional and effective connectivity during real-time fMRI-BCI modulation of prosody processing , 2011, Brain and Language.

[190]  Irene Liu,et al.  Improved modulation of rostrolateral prefrontal cortex using real-time fMRI training and meta-cognitive awareness , 2011, NeuroImage.

[191]  N. Palomero-Gallagher,et al.  Social reward improves the voluntary control over localized brain activity in fMRI-based neurofeedback training , 2015, Front. Behav. Neurosci..

[192]  Dimitri Van De Ville,et al.  Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI☆ , 2013, Neuroimage.

[193]  Mariela Rance,et al.  Real time fMRI feedback of the anterior cingulate and posterior insular cortex in the processing of pain , 2014, Human brain mapping.

[194]  Luke Clark,et al.  The Effect of Testosterone Administration and Digit Ratio (2D:4D) on Implicit Preference for Status Goods in Healthy Males , 2017, Front. Behav. Neurosci..

[195]  Mark Hallett,et al.  Self-modulation of primary motor cortex activity with motor and motor imagery tasks using real-time fMRI-based neurofeedback , 2012, NeuroImage.

[196]  Li Tong,et al.  Self-regulation of rACC activation in patients with Postherpetic Neuralgia : A preliminary study using Real-time fMRI neurofeedback , 2013 .

[197]  Gaoyan Zhang,et al.  Neural Effect of Real Time fMRI Based Working Memory Neurofeedback Training on the Cortico-Subcortico-Cerebellar Circuit , 2016 .

[198]  Rainer Goebel,et al.  Neurofeedback: A promising tool for the self-regulation of emotion networks , 2010, NeuroImage.

[199]  J. O'Doherty,et al.  Direct Instrumental Conditioning of Neural Activity Using Functional Magnetic Resonance Imaging-Derived Reward Feedback , 2007, The Journal of Neuroscience.

[200]  Abderrahmane Kheddar,et al.  fMRI-Based Robotic Embodiment: Controlling a Humanoid Robot by Thought Using Real-Time fMRI , 2014, PRESENCE: Teleoperators and Virtual Environments.

[201]  F. Jolesz,et al.  Brain–machine interface via real-time fMRI: Preliminary study on thought-controlled robotic arm , 2009, Neuroscience Letters.

[202]  E. Fetz Operant Conditioning of Cortical Unit Activity , 1969, Science.

[203]  David E. J. Linden,et al.  Real-time fMRI brain-computer interface: development of a “motivational feedback” subsystem for the regulation of visual cue reactivity , 2014, Front. Behav. Neurosci..

[204]  Isabelle Boutron,et al.  Timing and Completeness of Trial Results Posted at ClinicalTrials.gov and Published in Journals , 2013, PLoS medicine.

[205]  Simon W. Bock,et al.  Manipulating motor performance and memory through real-time fMRI neurofeedback , 2015, Biological Psychology.

[206]  W. K. Simmons,et al.  Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback , 2011, PloS one.

[207]  Klaas E. Stephan,et al.  Neurofeedback-mediated self-regulation of the dopaminergic midbrain , 2013, NeuroImage.

[208]  Takeo Watanabe,et al.  Learning to Associate Orientation with Color in Early Visual Areas by Associative Decoded fMRI Neurofeedback , 2016, Current Biology.

[209]  B. Biswal,et al.  Calibrating BOLD fMRI activations with neurovascular and anatomical constraints. , 2013, Cerebral cortex.

[210]  Ben Goldacre,et al.  COMPare Trials Project , 2016 .

[211]  L. Yao,et al.  Improved Working Memory Performance through Self-Regulation of Dorsal Lateral Prefrontal Cortex Activation Using Real-Time fMRI , 2013, PloS one.

[212]  P. Easterbrook,et al.  Publication bias in clinical research , 1991, The Lancet.

[213]  G. Loewenstein,et al.  Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling , 2012, Psychological science.

[214]  D. Linden,et al.  fMRI neurofeedback of higher visual areas and perceptual biases , 2016, Neuropsychologia.

[215]  Wolfgang Grodd,et al.  Regulation of anterior insular cortex activity using real-time fMRI , 2007, NeuroImage.

[216]  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.

[217]  Y Shimomura,et al.  The effect of mental loads on muscle tension, blood pressure and blink rate. , 2000, Journal of physiological anthropology and applied human science.

[218]  Gary H Glover,et al.  Modulation of subgenual anterior cingulate cortex activity with real‐time neurofeedback , 2011, Human brain mapping.

[219]  Peter Kirsch,et al.  Real‐time functional magnetic resonance imaging neurofeedback can reduce striatal cue‐reactivity to alcohol stimuli , 2016, Addiction biology.

[220]  D G Altman,et al.  Absence of evidence is not evidence of absence. , 1996, Australian veterinary journal.

[221]  J. Verhoeven,et al.  Developmental Foreign Accent Syndrome: Report of a New Case , 2016, Front. Hum. Neurosci..

[222]  Bettina Sorger,et al.  Real-Time Self-Regulation of Emotion Networks in Patients with Depression , 2012, PloS one.