Neurofeedback with fMRI: A critical systematic review

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

Published: Dec. 27, 2017

Language: Английский

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Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)

Brain, Journal Year: 2020, Volume and Issue: 143(6), P. 1674 - 1685

Published: Jan. 17, 2020

Abstract Neurofeedback has begun to attract the attention and scrutiny of scientific medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims improve reporting experimental design standards in field.

Language: Английский

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Treatment strategies for ADHD: an evidence-based guide to select optimal treatment

Molecular Psychiatry, Journal Year: 2018, Volume and Issue: 24(3), P. 390 - 408

Published: June 28, 2018

Language: Английский

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Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies

NeuroImage, Journal Year: 2018, Volume and Issue: 186, P. 256 - 265

Published: Nov. 10, 2018

Language: Английский

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Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

PLoS Biology, Journal Year: 2019, Volume and Issue: 17(4), P. e3000042 - e3000042

Published: April 18, 2019

When collecting large amounts of neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because the limited capacity a single site. However, site differences represent barrier when acquiring multisite data. We utilized traveling-subject dataset in conjunction multisite, multidisorder to demonstrate that are composed biological sampling bias and engineering measurement bias. The effects on resting-state functional MRI connectivity based pairwise correlations both types were greater than or equal disorder differences. Furthermore, our findings indicated each can sample only subpopulation participants. This result suggests it is essential collect as many possible appropriately estimate distribution grand population. Finally, we developed novel harmonization method removed by using achieved reduction 29% improvement signal-to-noise ratios 40%. Our results provide fundamental knowledge regarding effects, which important for future research

Language: Английский

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Towards an unconscious neural reinforcement intervention for common fears

Proceedings of the National Academy of Sciences, Journal Year: 2018, Volume and Issue: 115(13), P. 3470 - 3475

Published: March 6, 2018

Significance Conventional therapies for the treatment of anxiety disorders are aversive, and as a result, many patients terminate prematurely. We have developed an unconscious method to bypass unpleasantness in conscious exposure using functional magnetic resonance imaging neural reinforcement. Using this method, participants learn generate brain patterns similar multivariate pattern feared animal. demonstrate double-blind placebo-controlled experiment that reinforcement can lead reliable reductions physiological fear responses. Crucially, intervention be achieved completely unconsciously without any aversive reaction. Extending our approach other forms psychopathologies, such posttraumatic stress disorders, might eventually provide another means currently receiving insufficient treatments.

Language: Английский

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Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements

NeuroImage, Journal Year: 2019, Volume and Issue: 202, P. 116107 - 116107

Published: Aug. 19, 2019

Language: Английский

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Tools of the Trade Multivoxel pattern analysis in fMRI: a practical introduction for social and affective neuroscientists

Social Cognitive and Affective Neuroscience, Journal Year: 2020, Volume and Issue: 15(4), P. 487 - 509

Published: April 1, 2020

Abstract The family of neuroimaging analytical techniques known as multivoxel pattern analysis (MVPA) has dramatically increased in popularity over the past decade, particularly social and affective neuroscience research using functional magnetic resonance imaging (fMRI). MVPA examines patterns neural responses, rather than analyzing single voxel- or region-based values, is customary conventional univariate analyses. Here, we provide a practical introduction to its most popular variants (namely, representational similarity (RSA) decoding analyses, such classification machine learning) for neuroscientists all levels, those new methods. We discuss how differs from traditional mass-univariate benefits offers neuroscientists, experimental design considerations, step-by-step instructions implement specific analyses one’s own dataset issues that are currently facing

Language: Английский

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Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback

NeuroImage, Journal Year: 2018, Volume and Issue: 188, P. 539 - 556

Published: Dec. 17, 2018

Real-time functional magnetic resonance imaging (fMRI) neurofeedback is an experimental framework in which fMRI signals are presented to participants a real-time manner change their behaviors. Changes behaviors after postulated be caused by neural plasticity driven the induction of specific targeted activities at neuronal level (targeted model). However, some research groups argued that behavioral changes conventional studies explained alternative accounts, including placebo effect and physiological artifacts. Recently, decoded (DecNef) has been developed as result adapting new technological advancements, implicit multivariate analyses. DecNef provides strong evidence for model while refuting abovementioned accounts. In this review, we first discuss how refutes Second, propose shows occurs during training. Finally, computational empirical supports model. Clarification mechanisms would lead development more advanced methods may serve powerful tools both basic clinical research.

Language: Английский

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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

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