Neurofeedback with fMRI: A critical systematic review

NeuroImage, Journal Year: 2017, Volume and Issue: 172, P. 786 - 807

Published: Dec. 27, 2017

Language: Английский

---

Advances in fMRI Real-Time Neurofeedback

Trends in Cognitive Sciences, Journal Year: 2017, Volume and Issue: 21(12), P. 997 - 1010

Published: Oct. 12, 2017

Functional magnetic resonance imaging (fMRI) neurofeedback is a type of biofeedback in which real-time online fMRI signals are used to self-regulate brain function. Since its advent 2003 significant progress has been made techniques. Specifically, the use implicit protocols, external rewards, multivariate analysis, and connectivity analysis allowed neuroscientists explore possible causal involvement modified activity behavior. These techniques have also integrated into groundbreaking new technologies, specifically decoded (DecNef) functional connectivity-based (FCNef). By modulating neural behavior, DecNef FCNef substantially advanced both basic clinical research.

Language: Английский

---

Digital twin brain simulator for real-time consciousness monitoring and virtual intervention using primate electrocorticogram data

npj Digital Medicine, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 10, 2025

At the forefront of bridging computational brain modeling with personalized medicine, this study introduces a novel, real-time, electrocorticogram (ECoG) simulator, based on digital twin concept. Utilizing advanced data assimilation techniques, specifically Variational Bayesian Recurrent Neural Network model hierarchical latent units, simulator dynamically predicts ECoG signals reflecting real-time states. By assimilating broad from macaque monkeys across awake and anesthetized conditions, successfully updated its states in enhancing precision signal simulations. Behind successful assimilation, self-organization was observed, individuality. This facilitated simulation virtual drug administration uncovered functional networks underlying changes function during anesthesia. These results show that proposed can simulate high accuracy is also useful for revealing information processing dynamics.

Language: Английский

---

Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers

The International Journal of Neuropsychopharmacology, Journal Year: 2017, Volume and Issue: 20(10), P. 769 - 781

Published: July 12, 2017

Psychiatric research has been hampered by an explanatory gap between psychiatric symptoms and their neural underpinnings, which resulted in poor treatment outcomes. This situation prompted us to shift from symptom-based diagnosis data-driven diagnosis, aiming redefine disorders as of circuitry. Promising candidates for include resting-state functional connectivity MRI (rs-fcMRI)-based biomarkers. Although biomarkers have developed with the aim diagnosing patients predicting efficacy therapy, focus shifted identification that represent therapeutic targets, would allow more personalized approaches. type biomarker (i.e., "theranostic biomarker") is expected elucidate disease mechanism conditions offer individualized circuit-based target based on cause a condition. To this end, researchers rs-fcMRI-based investigated causal relationship potential disease-specific behavior using (fMRI)-based neurofeedback connectivity. In review, we introduce recent approach creating theranostic biomarker, consists mainly 2 parts: (1) developing can predict and/or high accuracy, (2) introduction proof-of-concept study investigating normalizing symptom changes fMRI-based neurofeedback. parallel studies, review neurofeedback, focusing technological improvements limitations associated clinical use.

Language: Английский

---

The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback—A Systematic Review and Recommendations for Best Practice

Frontiers in Neuroscience, Journal Year: 2020, Volume and Issue: 14

Published: July 21, 2020

Background: The effects of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)-neurofeedback on brain activation behaviors have been studied extensively in the past. More recently, researchers begun to investigate near-infrared spectroscopy-based neurofeedback (fNIRS-neurofeedback). FNIRS is a neuroimaging technique based hemodynamics, which easy use, portable, inexpensive, has reduced sensitivity movement artifacts. Method: We provide first systematic review database fNIRS-neurofeedback studies, synthesizing findings from 22 peer-reviewed studies (including total N = 441 participants; 337 healthy, 104 patients). (1) give comprehensive overview how training protocols were implemented, (2) online signal-processing methods used, (3) evaluate quality using pre-set methodological reporting criteria also present statistical sensitivity/power analyses, (4) effectiveness modulating activation, (5) its changing behavior healthy pathological populations. Results discussion: (1-2) Published are heterogeneous (e.g., targets, investigated populations, applied protocols, methods). Large randomized controlled trials still lacking. In view novelty field, published moderate. identified room for improvement important information power detect realistic effects. Several show that people can regulate hemodynamic signals cortical regions with these indicate feasibility motor control prefrontal functioning participants ameliorating symptoms clinical populations (stroke, ADHD, autism, social anxiety). However, valid conclusions about specificity or potential utility premature. Conclusion: Due advantages practicability relatively low cost, might suitable powerful alternative EEG fMRI great translation neurofeedback. Together more rigorous research practices, further improvements may lead solid understanding fNIRS-neurofeedback. Future will benefit exploiting fNIRS, offers unique opportunities research.

Language: Английский

---

Functional connectivity changes associated with fMRI neurofeedback of right inferior frontal cortex in adolescents with ADHD

NeuroImage, Journal Year: 2018, Volume and Issue: 188, P. 43 - 58

Published: Dec. 1, 2018

Attention Deficit Hyperactivity Disorder (ADHD) is associated with poor self-control, underpinned by inferior fronto-striatal deficits. We showed previously that 18 ADHD adolescents over 11 runs of 8.5 min real-time functional magnetic resonance neurofeedback the right frontal cortex (rIFC) progressively increased activation in 2 regions rIFC which was clinical symptom improvement. In this study, we used connectivity analyses to investigate whether fMRI-Neurofeedback resulted dynamic changes underlying neural networks. Whole-brain seed-based were conducted using two clusters showing as seed test for before and after runs. Furthermore, tested resulting improvements they specific when compared a control group who had self-regulate another region. positive relative dorsal caudate anterior cingulate negative default mode network (DMN) such posterior precuneus. correlated correlation findings rIFC-Neurofeedback group. The show first time typically dysfunctional region leads strengthening within fronto-cingulo-striatal networks weakening DMN may be

Language: Английский

---

What have we really learned from functional connectivity in clinical populations?

NeuroImage, Journal Year: 2021, Volume and Issue: 242, P. 118466 - 118466

Published: Aug. 10, 2021

Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool for probing functional abnormalities in clinical populations due to promise approach across conceptual, technical, and practical levels. With an already vast steadily accumulating neuroimaging literature on neurodevelopmental, psychiatric, neurological diseases disorders which FC is primary measure, we aim here provide high-level synthesis major concepts that have arisen from findings manner cuts different conditions sheds light overarching principles. We highlight allowed us discover ubiquity intrinsic networks virtually all brains clarify typical patterns neurodevelopment over lifespan. This understanding maturation with age provided important benchmarks against evaluate divergent early life degeneration late life. turn led insight many are associated complex, distributed, network-level changes brain, opposed solely focal abnormalities. further emphasize role studies played supporting dimensional studying transdiagnostic symptoms enhancing multimodal characterization prediction trajectory symptom progression conditions. unprecedented opportunity offered by probe where function could not be easily studied otherwise, such consciousness. Lastly, suggest high priority areas future research acknowledge critical barriers use methods, particularly those related artifact removal, data denoising feasibility contexts.

Language: Английский

---

Real-Time Functional Connectivity-Informed Neurofeedback of Amygdala-Frontal Pathways Reduces Anxiety

Psychotherapy and Psychosomatics, Journal Year: 2019, Volume and Issue: 88(1), P. 5 - 15

Published: Jan. 1, 2019

<b><i>Background:</i></b> Deficient emotion regulation and exaggerated anxiety represent a major transdiagnostic psychopathological marker. On the neural level these deficits have been closely linked to impaired, yet treatment-sensitive, prefrontal regulatory control over amygdala. Gaining direct pathways could therefore provide an innovative promising intervention regulate anxiety. To this end current proof-of-concept study evaluated feasibility, functional relevance maintenance of novel connectivity-informed real-time fMRI neurofeedback training. <b><i>Methods:</i></b> In randomized crossover sham-controlled design, 26 healthy subjects with high underwent fMRI-guided training enhance connectivity between ventrolateral cortex (vlPFC) amygdala (target pathway) during threat exposure. Maintenance was assessed after 3 days in absence feedback. Training-induced changes target pathway ratings served as primary outcomes. <b><i>Results:</i></b> Training target, not sham control, significantly increased amygdala-vlPFC decreased levels Stronger increases were associated higher reduction on group level. At follow-up, volitional maintained <b><i>Conclusions:</i></b> The present results demonstrate for first time that successful self-regulation amygdala-prefrontal top-down circuits may As such, findings underscore both critical contribution therapeutic potential neurofeedback.

Language: Английский

---

Current Status of Neurofeedback for Post-traumatic Stress Disorder: A Systematic Review and the Possibility of Decoded Neurofeedback

Frontiers in Human Neuroscience, Journal Year: 2019, Volume and Issue: 13

Published: July 17, 2019

Background: Post-traumatic stress disorder (PTSD) is a neuropsychiatric affective that can develop after traumatic life-events. Exposure-based therapy currently one of the most effective treatments for PTSD. However, exposure to stimuli so aversive significant number patients drop-out during course treatment. Among various attempts novel therapies bypass such aversiveness, neurofeedback appears promising. With neurofeedback, unconsciously self-regulate brain activity via real-time monitoring and feedback EEG or fMRI signals. conventional methods, however, it difficult induce neural representation related specific trauma because based on signals averaged within areas. To overcome this difficulty, approaches as Decoded Neurofeedback (DecNef) might prove helpful. Instead average BOLD signals, DecNef allows implicitly regulate multivariate voxel patterns with feared stimuli. As such, effects are postulated derive either from counter-conditioning, some combination both. Although exact mechanism not yet fully understood. has been successfully applied reduce fear responses induced by fear-conditioned phobic among non-clinical participants. Methods: Follows Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, systematic review was conducted compare effect those EEG/fMRI-based PTSD amelioration. elucidate possible mechanisms reduction, we mathematically modeled exposure-based counter conditioning separately data obtained past studies. Finally, four patients. Here, recent advances in application treatments, including DecNef. This intended be informative neuroscientists general well practitioners planning use therapeutic strategy Results: Our mathematical model suggested key component Following reduction severity observed. comparable reported approach. Conclusions: much larger participants will needed future, could promising bypasses unpleasantness conscious associated disorders,

Language: Английский

---

Real-world stress resilience is associated with the responsivity of the locus coeruleus

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: April 15, 2021

Abstract Individuals may show different responses to stressful events. Here, we investigate the neurobiological basis of stress resilience, by showing that neural responsitivity noradrenergic locus coeruleus (LC-NE) and associated pupil are related subsequent change in measures anxiety depression response prolonged real-life stress. We acquired fMRI pupillometry data during an emotional-conflict task medical residents before they underwent emergency-room internships known be a risk factor for depression. The LC-NE conflict its functional coupling with amygdala was stress-related symptom changes internship. A similar relationship found pupil-dilation, potential marker firing. Our results provide insights into generation, adaptation resilience.

Language: Английский

---