The DOI matches its Crossref record; 84 of the 85 references it cites were found in a registry or an index.
Real-Time Functional Connectivity-Informed Neurofeedback of Amygdala-Frontal Pathways Reduces Anxiety
Open accessPublished version of a preprint
Abstract
Background: 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 the amygdala. Gaining direct control over these pathways could therefore provide an innovative and promising intervention to regulate exaggerated anxiety. To this end the current proof-of-concept study evaluated the feasibility, functional relevance and maintenance of a novel connectivity-informed real-time fMRI neurofeedback training. Methods: In a randomized crossover sham-controlled design, 26 healthy subjects with high anxiety underwent real-time fMRI-guided neurofeedback training to enhance connectivity between the ventrolateral prefrontal cortex (vlPFC) and the amygdala (target pathway) during threat exposure. Maintenance of regulatory control was assessed after 3 days and in the absence of feedback. Training-induced changes in functional connectivity of the target pathway and anxiety ratings served as primary outcomes. Results: Training of the target, yet not the sham control, pathway significantly increased amygdala-vlPFC connectivity and decreased levels of anxiety. Stronger connectivity increases were significantly associated with higher anxiety reduction on the group level. At the follow-up, volitional control over the target pathway was maintained in the absence of feedback. Conclusions: The present results demonstrate for the first time that successful self-regulation of amygdala-prefrontal top-down regulatory circuits may represent a novel intervention to control anxiety. As such, the present findings underscore both the critical contribution of amygdala-prefrontal circuits to emotion regulation and the therapeutic potential of connectivity-informed real-time neurofeedback.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Moreover, despite increasing evidence for the maintenance of neural regulatory control acquired during NF trainings in the absence of feedback and for periods of several days (Rance et al., 2018, Yao et al., 2016, Zhao et al., 2019) the transfer of the acquired strategies to everyday life and the perceived efficiency have not been systematically examined in PTSD.”
From Rt-fMRI neurofeedback-guided cognitive reappraisal training modulates amygdala responsivity in posttraumatic stress disorder (2020) · cites this paper as Zhao et al., 2019
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Gross, J. J., & John, O. P. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.2.348 · Cited by 11,929
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
The cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495
Etkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344
Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06751.x · Cited by 1,879
McLaren, D. G., Ries, M. L., Xu, G., & Johnson, S. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.068 · Cited by 1,445
Flagged first, then by citations
1 of the 85 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–102 of 102
Fu, K., Xu, S., Liu, D., Zhang, Z., Liu, Q., He, J., Xu, T., Liu, C., Wang, J., Zhang, Y., et al. (2026) · medRxiv · doi:10.64898/2026.08.11.26360155
Self-citationTsang, M. H. L., Chen, J. C., Jiang, H., & Becker, B. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111918 · Cited by 2
Self-citation
Metadata
- Authors
- Zhao, Z., Yao, S., Li, K., Sindermann, C., Zhou, F., Zhao, W., Li, J., Lührs, M., Goebel, R., Kendrick, K. M., & Becker, B.
- Affiliations
- University of Electronic Science and Technology of China (CN)
- Universität Ulm (DE)
- Maastricht University (NL)
- ORCID
- Venue
- Psychotherapy and Psychosomatics
- Publisher
- S. Karger AG
- Published
- 2019
- Volume
- 88
- Issue
- 1
- Pages
- 5-15
- ISSN
- 0033-3190 (ISSN-L)
- 1423-0348
- OpenAlex
- W2951709304
- Cited by
- 102
- References
- 85
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 16 · 2023: 8 · 2022: 19 · 2021: 17 · 2020: 15 · 2019: 5
- FWCI
- 8.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Psychotherapy and Psychosomatics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- National Natural Science Foundation of China (91632117, 31530032, 31700998)
- Fundamental Research Funds for the Central Universities (ZYGX2015Z002)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- real-time fMRI neurofeedback, amygdala, ventrolateral prefrontal cortex, amygdala-prefrontal connectivity, anxiety, emotion regulation, top-down control, threat exposure, self-regulation, transdiagnostic psychopathology
- MeSH terms
- Self-Control, Proof of Concept Study, Adult, Amygdala, Anxiety, Humans, Magnetic Resonance Imaging, Nerve Net, Outcome Assessment, Health Care, Prefrontal Cortex, Cross-Over Studies, Neurofeedback, Functional Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review