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Using real-time fMRI to influence effective connectivity in the developing emotion regulation network
2016
NeuroImage
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Recent research has highlighted the suitability of real-time fMRI-based neurofeedback (NF) in training emotion regulation (ER) networks in adults. ...
However, its usefulness in directly influencing plasticity in the maturing ER networks remains unclear. ...
The authors would like to thank Sita Deeg for help with participant recruitment and testing, and Niklas Ihssen and Isabel Habes for help with setting up the neurofeedback experiment. ...
doi:10.1016/j.neuroimage.2015.09.070
pmid:26475487
pmcid:PMC4692450
fatcat:lkksvrf4o5hsheyyujxqzotld4
Altered Amygdala Information Flow during rt-fMRI Neurofeedback Training of Emotion Regulation
2017
DEStech Transactions on Computer Science and Engineering
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This study highlights the possible use for rt-fMRI NF-based emotion regulation to the brain network. ...
Previous studies have showed that real-time functional magnetic resonance imaging neurofeedback (rt-fMRI NF) had effect on improving the treatment of some mental diseases. ...
During feedback periods, the trained classifier was used to decode the whole-brain emotion states in real time. ...
doi:10.12783/dtcse/smce2017/12436
fatcat:fvmoy5bgfjgine5kfewkvyl4ga
Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks
2014
Biological Psychology
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A special emphasis is given to the discussion of novel developments that have enabled the use of this methodology to achieve selfregulation of the functional connectivity between different brain areas ...
With the advent of brain computer interfaces based on real-time fMRI (rtfMRI-BCI), the possibility of performing neurofeedback based on brain hemodynamics has become a reality. ...
Acknowledgments This work was supported by the Deutschen Forschungsgemeinschaft , the Centre for Integrative Neuroscience (CIN), Tübingen, Germany (Pool-Project 2011-08), and Comisión Nacional de Investigación ...
doi:10.1016/j.biopsycho.2013.04.010
pmid:23643926
fatcat:2hkvm2maqfebzm5ulmiw3gqxva
Abnormal Neural Connectivity in Schizophrenia and fMRI-Brain-Computer Interface as a Potential Therapeutic Approach
2013
Frontiers in Psychiatry
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Brain-Computer Interfaces based on real-time functional Magnetic Resonance Imaging (fMRI-BCI) are novel techniques that have allowed subjects to achieve self-regulation of circumscribed brain regions. ...
In recent studies, experiments with this technology have resulted in new findings suggesting that this methodology could be used to train subjects to enhance brain connectivity, and therefore could potentially ...
ACKNOWLEDGMENTS The study was supported by the Deutschen Forschungsgemeinschaft and D.27.09244), and Comisión Nacional de Investigación Científica y Tecnológica de Chile (Conycit) through Fondo Nacional ...
doi:10.3389/fpsyt.2013.00017
pmid:23525496
pmcid:PMC3605516
fatcat:axjb5subvbgatdqy7cocrk4rve
Real-Time fMRI
2011
The Neuroscientist
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Declaration of Conflicting Interests The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. ...
Funding The authors disclosed receipt of the following financial support for the research and/or authorship of this article: The preparation of this article was supported by the Deutsche Forschungsgemeinschaft ...
Effective connectivity analysis using Granger causality modeling showed that learning to regulate the anterior insula not only increases the number of connections (causal density) in the emotional network ...
doi:10.1177/1073858411407205
pmid:21652587
fatcat:d3vb7elkh5f3thoa42tyzpa4qe
Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: a pilot study
2014
Frontiers in Behavioral Neuroscience
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This pilot study aimed to explore whether criminal psychopaths can learn volitional regulation of the left anterior insula with real-time fMRI neurofeedback. ...
Learning to up-regulate the left anterior insula not only increased the number of connections (causal density) in the emotional network in the single successful participant but also increased the difference ...
The authors are indebted to Dr. Michael Erb for technical assistance in data acquisition. ...
doi:10.3389/fnbeh.2014.00344
pmid:25352793
pmcid:PMC4196629
fatcat:ypmcvwb3hfdcjlzfdhj6krega4
Real-Time Functional Magnetic Resonance Imaging Dyadic Neurofeedback for Emotion Regulation: A Proof-of-Concept Study
2022
Frontiers in Human Neuroscience
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Real-time fMRI (rt-fMRI) neurofeedback can be used to non-invasively modulate brain activity and has shown initial effectiveness in symptom reduction for psychiatric disorders. ...
Adolescence is a key period for the development of emotion regulation, with the parent-adolescent relationship providing an important context for learning how to modulate one's emotions. ...
ACKNOWLEDGMENTS We would like to thank the participants and their families for their participation in this research study. ...
doi:10.3389/fnhum.2022.910951
pmid:35721350
pmcid:PMC9204632
fatcat:xhqxmhrlhbb3ribzel6eafyhea
Functional magnetic resonance imaging (FMRI) neurofeedback: implementations and applications
2013
Malaysian Journal of Medical Sciences
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Neurofeedback (NFB) allows subjects to learn how to volitionally influence the neuronal activation in the brain by employing real-time neural activity as feedback. ...
In this paper, we briefly outline the general principles behind NFB, the implementation of fMRI-NFB studies, the feasibility of fMRI-NFB, and the application of NFB as a supplementary therapy tool. ...
Additionally, thanks to our colleague, Mr Blake Riley for his assistance with editing the manuscript. ...
pmid:24643368
pmcid:PMC3957350
fatcat:g5d2pb2elrdttftbc46wvg2iba
Editorial: Learned Brain Self-Regulation for Emotional Processing and Attentional Modulation: From Theory to Clinical Applications
2016
Frontiers in Behavioral Neuroscience
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The growing researcher-and user-base of real-time fMRI-NF applications has prompted a handful of laboratories to build open and free software tools and libraries. ...
Recent studies in NF are increasingly relying on multivariate classification for decoding brain states in real-time for more effective learning. ...
ERA-Net (European Research Area)-New INDIGO project funded by the BMBF (project n • 01DQ13004) and Pontificia Universidad Católica de Chile through the Seed Fund University of Texas, Austin-Universidad ...
doi:10.3389/fnbeh.2016.00062
pmid:27065087
pmcid:PMC4814521
fatcat:zus4gdadhzb4zk6opz7comkrfa
Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation
2016
Current Opinion in Neurology
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Recent findings The development of rt-fMRI-NF has been used to promote self-regulation of activity in several brain regions and networks. ...
Using fMRI to monitor the aspects of task-related changes in neural activation or brain connectivity, investigators can offer feedback of simple or complex neural signals/patterns back to the participant ...
The real-time representation of brain network activity or connectivity can be relayed to an observer via visual display. ...
doi:10.1097/wco.0000000000000340
pmid:27213774
pmcid:PMC4947535
fatcat:vbab7k4ytbcw3juvxbni7g23nm
Real-time fMRI applied to pain management
2012
Neuroscience Letters
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Some of these connectivity changes involve the "default-mode network" [6, 7, 19, 80], a network of areas correlated at rest and thought to be related to internal self-referential processing [48] . ...
Advances in neuroscience have allowed us to explore how the varieties of pain experience we observe are mediated by the complex relationships between the mind, brain, and body. ...
The need for direct control of cortical and sub-cortical brain systems involved in pain perception and modulation influenced the development of real-time fMRI (rtfMRI). ...
doi:10.1016/j.neulet.2012.02.076
pmid:22414861
pmcid:PMC3377818
fatcat:zdpepw7rpjbehol6jp7te2oxpe
Neurofeedback with fMRI: A critical systematic review
2018
NeuroImage
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We then examine the 76 effectiveness of fMRI-nf protocols in (1) training self-regulation of the BOLD signal and (2) 77 modifying behavior. ...
To disentangle 29 placebo influences and establish the specific effects of neurofeedback, we highlight the need for 30 double-blind placebo-controlled studies alongside rigorous and standardized statistical ...
Using real-time fMRI to influence differential effective connectivity in the Karch, S., Keeser, D., Hümmer, S., Paolini, M., Kirsch, V., Karali, T., et al. (2015). ...
doi:10.1016/j.neuroimage.2017.12.071
pmid:29288868
fatcat:pqd323lom5h5nnzhrr2wlq7jey
Altered Resting-State Amygdala Functional Connectivity after Real-Time fMRI Emotion Self-Regulation Training
2016
BioMed Research International
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Real-time fMRI neurofeedback (rtfMRI-nf) is a promising tool for enhancing emotion regulation capability of subjects and for the potential alleviation of neuropsychiatric disorders. ...
In our study, participants were provided with ongoing information on their emotion states by using real-time multivariate voxel pattern analysis. ...
The restingstate fMRI has been increasingly used to address changes in functional brain connectivity after effective treatments [9] . ...
doi:10.1155/2016/2719895
pmid:26998482
pmcid:PMC4779507
fatcat:6y46ecx2urfvvhdbay63rvom5u
Interoceptive Awareness and the Insula – Application of Neuroimaging Techniques in Psychotherapy
2014
GSTF Journal of Psychology
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Perspectives: Neurofeedback in major depression using real-time fMRI). ...
of depressed patients using new imaging techniques like real-time fMRI. ...
ACKNOWLEDGMENT We like to thank Giles Holland for constructive comments and suggestions. ...
doi:10.5176/2345-7872_1.1.8
fatcat:mtxjmtpylffgthfgbiy2wypxgy
Interoceptive awareness and the insula - Application of Neuroimaging Techniques in Psychotherapy
2014
GSTF Journal of Psychology (JPsych)
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Perspectives: Neurofeedback in major depression using real-time fMRI). ...
of depressed patients using new imaging techniques like real-time fMRI. ...
ACKNOWLEDGMENT We like to thank Giles Holland for constructive comments and suggestions. ...
doi:10.7603/s40790-014-0008-1
fatcat:5f333m3n7nga3bxnpjnfsfsu74
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