Enhancing Emotion Regulation Through Functional Near-infrared Spectroscopy (fNIRS)-Informed Real-time Neurofeedback
NCT ID: NCT06866028
Last Updated: 2025-03-27
Study Results
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Basic Information
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RECRUITING
NA
50 participants
INTERVENTIONAL
2024-08-08
2026-08-07
Brief Summary
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Participants will complete:
* Cognitive reappraisal training with either real neurofeedback or sham feedback.
* Questionnaires at pre- and post- training timepoints
* A cold-pressor test at the end of the training
It is hypothesized that combining real-time fNIRS neurofeedback and cognitive reappraisal training will enhance emotion regulation in healthy individuals:
1. Increased neural activity in the prefrontal cortex (PFC) region of the brain will be significantly higher in the real neurofeedback group after training compared to the sham feedback group.
2. Real-time fNIRS-guided upregulation of the PFC will enhance emotion regulation during exposure to negative stimuli/scenes across the training runs.
3. The effects of fNIRS neurofeedback training will extend to influence emotion regulation in a cold-pressor test administered post-training, wherein individuals in the real neurofeedback group demonstrate better regulation of stress and pain induced by the task.
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Detailed Description
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Neurofeedback is a promising non-invasive neuromodulation technique allowing individuals to rapidly learn volitional control over brain activity via providing real-time feedback on brain function. Initial studies suggest that neurofeedback for emotion regulation produces increased experiences of positive emotion in patients with depression and decreased anxious mood in patients with anxiety disorder. A limitation of existing studies, however, is that neurofeedback training is often not directed with a concrete strategy that can help participants better learn control over brain activity, and extend learning outside of the experimental context.
Cognitive reappraisal, an emotion regulation strategy that focuses on reevaluating and changing the interpretation of an aversive scene or stimulus to reduce its negative impact on an individuals' emotions, has been implemented in several neurofeedback studies. It is shown to be effective in reducing negative emotions in clinical populations, such as in depression, anxiety, and trauma disorders when combined with fMRI neurofeedback. Meta-analytic evidence points to the lateral prefrontal cortex (lPFC) as a common region active during cognitive reappraisal. Thus, lPFC regions are a promising target for emotion regulation that has otherwise not been a target in existing studies, which traditionally focus on modulating emotional reactivity via subcortical regions.
Nevertheless, the implementation of neurofeedback-guided training on cortical level regions is relatively scarce, and even more so for improving emotion regulation in non-clinical populations. In our own previous studies, it has been previously demonstrated that healthy subjects can learn to control the activity of brain regions involved in emotional processing and that this can reduce anxiety. This suggests there is a promising potential of fNIRS neurofeedback training in combination with cognitive reappraisal strategies as a novel approach with broader implications for regulating stress in both clinical and non-clinical populations.
The present study aims to employ real-time fNIRS neurofeedback training in combination with cognitive reappraisal strategies for regulating negative emotions in healthy individuals. Participants will undergo cognitive reappraisal training with either real neurofeedback or sham feedback. Furthermore, emotion regulation ability will be assessed prior to and after neurofeedback training, through pre- and post-test behavioral measures and from comparing performance between real neurofeedback and sham feedback groups on a post-training task inducing physiological stress.
Participants will be explicitly instructed to apply cognitive reappraisal to upregulate brain activity. Prior to the neurofeedback runs, they will receive training illustrating the concept of cognitive reappraisal and neural basis of emotion regulation.
The present study will apply double-blinding. Participants will complete the experiment without knowing the presence of a control condition. The instructions administered to both groups will be exactly the same, and the experimenter responsible for administering instructions to the participant will not be aware of the participant's assigned group.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
BASIC_SCIENCE
DOUBLE
Study Groups
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fNIRS neurofeedback training group
Individuals in the fNIRS training group will receive feedback based on their real-time brain activity in the target region and learn to upregulate PFC activity while reappraising negative images.
Real-time fNIRS neurofeedback from Turbo-Satori
Activity in the target brain region measured by fNIRS in real-time will undergo processing on Turbo-Satori (BrainVoyager; Maastricht, Netherlands) to infer changes in oxygenated blood activity in the target brain region and relayed to the task program for visual feedback.
Sham training group
Individuals in the sham training group will receive yoked feedback from previous data acquired from another individual in real neurofeedback group while reappraising negative images.
Yoked sham feedback from Turbo-Satori
Previous data acquired from another individual in the experimental group will be loaded into Turbo-Satori (BrainVoyager; Maastricht, Netherlands) software for preprocessing in real-time and relayed to the task program for visual feedback.
Interventions
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Real-time fNIRS neurofeedback from Turbo-Satori
Activity in the target brain region measured by fNIRS in real-time will undergo processing on Turbo-Satori (BrainVoyager; Maastricht, Netherlands) to infer changes in oxygenated blood activity in the target brain region and relayed to the task program for visual feedback.
Yoked sham feedback from Turbo-Satori
Previous data acquired from another individual in the experimental group will be loaded into Turbo-Satori (BrainVoyager; Maastricht, Netherlands) software for preprocessing in real-time and relayed to the task program for visual feedback.
Eligibility Criteria
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Inclusion Criteria
* Right-handed
* Below the cut-off for clinically-significant levels of depression (below 29) indicated by the Beck Depression Inventory (BDI-II; Beck et al., 1996)
Exclusion Criteria
* Current/history of chronic pain
* The following conditions: Cardiovascular disorder, Raynaud's phenomenon, fainting, seizure, wounds on the hand/arm
* Frequent use of alcohol/nicotine
18 Years
30 Years
ALL
Yes
Sponsors
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University of Electronic Science and Technology of China
OTHER
Responsible Party
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Locations
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The Hong Kong Jockey Club Building For Interdisciplinary Research, 5 Sassoon Rd, Sandy Bay
Hong Kong, , Hong Kong
Countries
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Facility Contacts
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References
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Zweerings J, Sarkheil P, Keller M, Dyck M, Klasen M, Becker B, Gaebler AJ, Ibrahim CN, Turetsky BI, Zvyagintsev M, Flatten G, Mathiak K. Rt-fMRI neurofeedback-guided cognitive reappraisal training modulates amygdala responsivity in posttraumatic stress disorder. Neuroimage Clin. 2020;28:102483. doi: 10.1016/j.nicl.2020.102483. Epub 2020 Oct 28.
Zilverstand A, Sorger B, Sarkheil P, Goebel R. fMRI neurofeedback facilitates anxiety regulation in females with spider phobia. Front Behav Neurosci. 2015 Jun 8;9:148. doi: 10.3389/fnbeh.2015.00148. eCollection 2015.
Zilverstand A, Parvaz MA, Goldstein RZ. Neuroimaging cognitive reappraisal in clinical populations to define neural targets for enhancing emotion regulation. A systematic review. Neuroimage. 2017 May 1;151:105-116. doi: 10.1016/j.neuroimage.2016.06.009. Epub 2016 Jun 8.
Zhao Z, Yao S, Zweerings J, Zhou X, Zhou F, Kendrick KM, Chen H, Mathiak K, Becker B. Putamen volume predicts real-time fMRI neurofeedback learning success across paradigms and neurofeedback target regions. Hum Brain Mapp. 2021 Apr 15;42(6):1879-1887. doi: 10.1002/hbm.25336. Epub 2021 Jan 5.
Zhao Z, Yao S, Li K, Sindermann C, Zhou F, Zhao W, Li J, Luhrs M, Goebel R, Kendrick KM, Becker B. Real-Time Functional Connectivity-Informed Neurofeedback of Amygdala-Frontal Pathways Reduces Anxiety. Psychother Psychosom. 2019;88(1):5-15. doi: 10.1159/000496057. Epub 2019 Jan 30.
Yao S, Becker B, Geng Y, Zhao Z, Xu X, Zhao W, Ren P, Kendrick KM. Voluntary control of anterior insula and its functional connections is feedback-independent and increases pain empathy. Neuroimage. 2016 Apr 15;130:230-240. doi: 10.1016/j.neuroimage.2016.02.035. Epub 2016 Feb 17.
Pico-Perez M, Radua J, Steward T, Menchon JM, Soriano-Mas C. Emotion regulation in mood and anxiety disorders: A meta-analysis of fMRI cognitive reappraisal studies. Prog Neuropsychopharmacol Biol Psychiatry. 2017 Oct 3;79(Pt B):96-104. doi: 10.1016/j.pnpbp.2017.06.001. Epub 2017 Jun 1.
COVID-19 Mental Disorders Collaborators. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet. 2021 Nov 6;398(10312):1700-1712. doi: 10.1016/S0140-6736(21)02143-7. Epub 2021 Oct 8.
Linhartova P, Latalova A, Kosa B, Kasparek T, Schmahl C, Paret C. fMRI neurofeedback in emotion regulation: A literature review. Neuroimage. 2019 Jun;193:75-92. doi: 10.1016/j.neuroimage.2019.03.011. Epub 2019 Mar 9.
Keller M, Zweerings J, Klasen M, Zvyagintsev M, Iglesias J, Mendoza Quinones R, Mathiak K. fMRI Neurofeedback-Enhanced Cognitive Reappraisal Training in Depression: A Double-Blind Comparison of Left and Right vlPFC Regulation. Front Psychiatry. 2021 Aug 23;12:715898. doi: 10.3389/fpsyt.2021.715898. eCollection 2021.
Gross JJ. Emotion regulation: affective, cognitive, and social consequences. Psychophysiology. 2002 May;39(3):281-91. doi: 10.1017/s0048577201393198.
Buhle JT, Silvers JA, Wager TD, Lopez R, Onyemekwu C, Kober H, Weber J, Ochsner KN. Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. Cereb Cortex. 2014 Nov;24(11):2981-90. doi: 10.1093/cercor/bht154. Epub 2013 Jun 13.
Other Identifiers
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HKU_NCAM_001
Identifier Type: -
Identifier Source: org_study_id
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