Targeting the affective brain—a randomized controlled trial of real-time fMRI neurofeedback in patients with depression
Open accessAbstract
Functional magnetic resonance imaging neurofeedback (fMRI-NF) training of areas involved in emotion processing can reduce depressive symptoms by over 40% on the Hamilton Depression Rating Scale (HDRS). However, it remains unclear if this efficacy is specific to feedback from emotion-regulating regions. We tested in a single-blind, randomized, controlled trial if upregulation of emotion areas (NFE) yields superior efficacy compared to upregulation of a control region activated by visual scenes (NFS). Forty-three moderately to severely depressed medicated patients were randomly assigned to five sessions augmentation treatment of either NFE or NFS training. At primary outcome (week 12) no significant group mean HDRS difference was found (B = -0.415 [95% CI -4.847 to 4.016], p = 0.848) for the 32 completers (16 per group). However, across groups depressive symptoms decreased by 43%, and 38% of patients remitted. These improvements lasted until follow-up (week 18). Both groups upregulated target regions to a similar extent. Further, clinical improvement was correlated with an increase in self-efficacy scores. However, the interpretation of clinical improvements remains limited due to lack of a sham-control group. We thus surveyed effects reported for accepted augmentation therapies in depression. Data indicated that our findings exceed expected regression to the mean and placebo effects that have been reported for drug trials and other sham-controlled high-technology interventions. Taken together, we suggest that the experience of successful self-regulation during fMRI-NF training may be therapeutic. We conclude that if fMRI-NF is effective for depression, self-regulation training of higher visual areas may provide an effective alternative.
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Rt-fMRI NF trainings have been shown to support perceived control and self-efficacy, thus potentially motivating behavioral change.
“Rt-fMRI NF trainings have been shown to support perceived control (Zweerings et al., 2018) and self-efficacy (Mehler et al., 2018), thus potentially motivating behavioral change (MacDuffie et al., 2018).”
From Rt-fMRI neurofeedback-guided cognitive reappraisal training modulates amygdala responsivity in posttraumatic stress disorder (2020) · cites this paper as Mehler et al., 2018
The Discussion (page unavailable) suggests that successful self-regulation during fMRI neurofeedback may increase self-efficacy. The Results report an exploratory association between increased self-efficacy and lower depression severity, but the paper says larger trials are needed to test the proposed mechanism. Thus, the cited source supports a possible benefit for self-efficacy, not that training has definitively been shown to produce it. (LLM, conf=0.82)
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Cites
The Hospital Anxiety and Depression Scale
Zigmond, A. S., & Snaith, R. P. (1983) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1983.tb09716.x · Cited by 47,139 · see citing works
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975 · see citing works
Depression and quality of life in older persons: A review
Sivertsen, H., Bjørkløf, G. H., Engedal, K., Selbæk, G., & Helvik, A.-S. (2015) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000437299 · Cited by 14,152 · see citing works
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490 · see citing works
Carver, C. S., & White, T. L. (1994) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.67.2.319 · Cited by 7,306 · see citing works
Robust Regression and Outlier Detection
Piepel, G. F., Rousseeuw, P. J., & Leroy, A. M. (1989) · Technometrics · doi:10.2307/1268828 · Cited by 6,183 · see citing works
Rush, A. J., Trivedi, M. H., Wisniewski, S. R., Nierenberg, A. A., Stewart, J. W., Warden, D., Niederehe, G., Thase, M. E., Lavori, P. W., Lebowitz, B. D., et al. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.11.1905 · Cited by 5,643 · cited 3× · see citing works
“5% for secondary augmentation therapy [43].”
InfluentialRobust Regression and Outlier Detection
Rousseeuw, P. J., & Leroy, A. M. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/0471725382 · Cited by 5,609 · see citing works
The Self-Efficacy Scale: Construction and Validation
Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R. W. (1982) · Psychological Reports · doi:10.2466/pr0.1982.51.2.663 · Cited by 4,028 · see citing works
Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01866-8 · Cited by 3,829 · see citing works
A cortical representation of the local visual environment
Epstein, R. A., & Kanwisher, N. (1998) · Nature · doi:10.1038/33402 · Cited by 2,960 · see citing works
Lakens, D. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617697177 · Cited by 2,161 · cited 1× · see citing works
“Given the absence of a group effect in upregulation and the similar clinical effects observed in both groups we also conducted equivalence tests based on participants ’ median ROI t values across the four neurofeedback training sessions [26].”
Antidepressant Drug Effects and Depression Severity: A Patient-Level Meta-analysis
Fournier, J. C., DeRubeis, R. J., Hollon, S. D., Dimidjian, S., Amsterdam, J. D., Shelton, R. C., & Fawcett, J. (2010) · JAMA · doi:10.1001/jama.2009.1943 · Cited by 2,009 · see citing works
Cognitive Reappraisal of Emotion: A Meta-Analysis of Human Neuroimaging Studies
Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., Weber, J., & Ochsner, K. N. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht154 · Cited by 1,896 · cited 1× · see citing works
“This is encouraging because striatal areas and the insula have been linked to positive reappraisal of emotions [29].”
Phillips, M. L., Ladouceur, C. D., & Drevets, W. C. (2008) · Molecular Psychiatry · doi:10.1038/mp.2008.65 · Cited by 1,383 · see citing works
Closed-loop brain training: the science of neurofeedback
Sitaram, R., Ros, T., Stoeckel, L., Haller, S., Scharnowski, F., Lewis-Peacock, J., Weiskopf, N., Blefari, M. L., Rana, M., Oblak, E., et al. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.164 · Cited by 1,306 · see citing works
A Comprehensive Review of the Placebo Effect: Recent Advances and Current Thought
Price, D. D., Finniss, D. G., & Benedetti, F. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.113006.095941 · Cited by 1,146 · see citing works
Mental Imagery of Faces and Places Activates Corresponding Stimulus-Specific Brain Regions
O’Craven, K. M., & Kanwisher, N. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137549 · Cited by 1,057 · see citing works
Interoception in anxiety and depression
Paulus, M. P., & Stein, M. B. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0258-9 · Cited by 952 · see citing works
Chang, L. J., Yarkoni, T., Khaw, M. W., & Sanfey, A. G. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs065 · Cited by 879 · see citing works
Keller, M. B. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820100053010 · Cited by 864 · see citing works
Emotional category data on images from the international affective picture system
Mikels, J. A., Fredrickson, B. L., Samanez-Larkin, G. R., Lindberg, C. M., Maglio, S. J., & Reuter‐Lorenz, P. A. (2005) · Behavior Research Methods · doi:10.3758/bf03192732 · Cited by 675 · see citing works
Resting-state fMRI confounds and cleanup
Murphy, K., Birn, R. M., & Bandettini, P. A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.001 · Cited by 666 · see citing works
Wells, A., & Davies, M. I. (1994) · Behaviour Research and Therapy · doi:10.1016/0005-7967(94)90168-6 · Cited by 640 · see citing works
Berlim, M. T., van den Eynde, F., Tovar-Perdomo, S., & Daskalakis, Z. J. (2014) · Psychological Medicine · doi:10.1017/s0033291713000512 · Cited by 620 · see citing works
Holtzheimer, P. E., Husain, M. M., Lisanby, S. H., Taylor, S. F., Whitworth, L. A., McClintock, S., Slavin, K. V., Berman, J., McKhann, G. M., Patil, P. G., et al. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30371-1 · Cited by 577 · see citing works
Hamilton, M. (1980) · PubMed · Cited by 471 · see citing works
Real-time fMRI neurofeedback: Progress and challenges
Sulzer, J., Haller, S., Scharnowski, F., Weiskopf, N., Birbaumer, N., Blefari, M. L., Bruehl, A. B., Cohen, L. G., deCharms, R. C., Gassert, R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.033 · Cited by 453 · see citing works
Self-citationMeasurement of quality of life: current state of the art.
Flanagan, J. C. (1982) · PubMed · Cited by 440 · see citing works
Real-Time Self-Regulation of Emotion Networks in Patients with Depression
Linden, D. E. J., Isabelle, H., Johnston, S. J., Linden, S. C., Ranjit, T., Subramanian, L., Sorger, B., Healy, D., & Goebel, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038115 · Cited by 438 · see citing works
Self-citationSelf-efficacy as a mediator between stressful life events and depressive symptoms
Maciejewski, P. K., Prigerson, H. G., & Mazure, C. M. (2000) · The British Journal of Psychiatry · doi:10.1192/bjp.176.4.373 · Cited by 386 · see citing works
Viewpoint-Specific Scene Representations in Human Parahippocampal Cortex
Epstein, R., Graham, K. S., & Downing, P. E. (2003) · Neuron · doi:10.1016/s0896-6273(03)00117-x · Cited by 360 · see citing works
Zilverstand, A., Parvaz, M. A., & Goldstein, R. Z. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.009 · Cited by 360 · see citing works
Young, K. D., Siegle, G. J., Zotev, V., Phillips, R., Misaki, M., Yuan, H., Drevets, W. C., & Bodurka, J. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16060637 · Cited by 331 · see citing works
Mental Imagery in Depression: Phenomenology, Potential Mechanisms, and Treatment Implications
Holmes, E. A., Blackwell, S. E., Burnett Heyes, S., Renner, F., & Raes, F. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-092925 · Cited by 325 · see citing works
Berlim, M. T., den Eynde, F. V., & Daskalakis, Z. J. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.237 · Cited by 299 · see citing works
The self-regulating brain and neurofeedback: experimental science and clinical promise
Thibault, R. T., Lifshitz, M., & Raz, A. (2016) · Cortex · doi:10.1016/j.cortex.2015.10.024 · Cited by 272 · see citing works
RECOVERY, CHRONICITY, AND LEVELS OF PSYCHOPATHOLOGY IN MAJOR DEPRESSION
Mueller, T. I., & Leon, A. C. (1996) · Psychiatric Clinics of North America · doi:10.1016/s0193-953x(05)70275-6 · Cited by 234 · see citing works
Is Alpha Wave Neurofeedback Effective with Randomized Clinical Trials in Depression? A Pilot Study
Choi, S. W., Chi, S. E., Chung, S.-Y., Kim, J. W., Ahn, C. Y., & Kim, H. T. (2010) · Neuropsychobiology · doi:10.1159/000322290 · Cited by 177 · see citing works
Whole-Body Hyperthermia for the Treatment of Major Depressive Disorder
Janssen, C., Lowry, C. A., Mehl, M. R., Allen, J. J. B., Kelly, K. L., Gartner, D. E., Medrano, A., Begay, T. K., Rentscher, K. E., White, J. J., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.1031 · Cited by 151 · see citing works
Langner, R., Leiberg, S., Hoffstaedter, F., & Eickhoff, S. B. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.04.022 · Cited by 144 · see citing works
Neurofeedback and networks of depression
Linden, D. E. J. (2014) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2014.16.1/dlinden · Cited by 125 · see citing works
Self-citationTime course of clinical change following neurofeedback
Rance, M., Walsh, C., Sukhodolsky, D. G., Pittman, B., Qiu, M., Kichuk, S. A., Wasylink, S., Koller, W. N., Bloch, M., Gruner, P., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.001 · Cited by 124 · see citing works
Neurofeedback: One of today's techniques in psychiatry?
Arns, M., Batail, J.-M., Bioulac, S., Congedo, M., Daudet, C., Drapier, D., Fovet, T., Jardri, R., Le-Van-Quyen, M., Lotte, F., et al. (2017) · L'Encéphale · doi:10.1016/j.encep.2016.11.003 · Cited by 117 · see citing works
Self-citationKeynan, J. N., Meir-Hasson, Y., Gilam, G., Cohen, A., Jackont, G., Kinreich, S., Ikar, L., Or‐Borichev, A., Etkin, A., Gyurak, A., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.024 · Cited by 109 · see citing works
Treatment of Depressed In-Patients
Bowers, W. A. (1990) · The British Journal of Psychiatry · doi:10.1192/bjp.156.1.73 · Cited by 108 · see citing works
Development and validation of the thought control ability questionnaire
Luciano, J. V., Algarabel, S., Tomás, J. M., & Martinez, J. L. T. (2004) · Personality and Individual Differences · doi:10.1016/j.paid.2004.06.020 · Cited by 98 · see citing works
Cheon, E., Koo, B., & Choi, J.-H. (2015) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-015-9315-8 · Cited by 70 · see citing works
Integration of “what” and “where” in frontal cortex during visual imagery of scenes
de Borst, A. W., Sack, A. T., Jansma, B. M., Esposito, F., Martino, F. D., Valente, G., Roebroeck, A. F., Salle, F. D., Goebel, R., & Formisano, E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.005 · Cited by 59 · see citing works
Self-citationMeister, R., Jansen, A., Härter, M. C., Nestoriuc, Y., & Kriston, L. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.03.024 · Cited by 41 · see citing works
Self-Efficacy Mediates the Effect of Depression on Smoking Susceptibility in Adolescents
Minnix, J. A., Blalock, J. A., Marani, S. K., Prokhorov, A. V., & Cinciripini, P. M. (2011) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntr061 · Cited by 38 · see citing works
Golding, K., Fife‐Schaw, C., & Kneebone, I. (2016) · Clinical Rehabilitation · doi:10.1177/0269215516682820 · Cited by 22 · see citing works
fMRI neurofeedback of higher visual areas and perceptual biases
Habes, I., Rushton, S. K., Johnston, S. J., Sokunbi, M. O., Barawi, K., Brosnan, M. B., Daly, T., Ihssen, N., & Linden, D. E. J. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.03.031 · Cited by 18 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- [16]Carver CS, White TL. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment. J Pers Soc Psychol. 1994;67:319–333.
- [41]Qids S Qids-c CR Rush aJ Trivedi MH Ibrahim HM Carmody TJ The 16-Item quick inventory of depressive Depression 2003 54 573 83 12946886
Cited by
Sorted by citations
Ros, T., Enriquez-Geppert, S., Zotev, V., Young, K. D., Wood, G., Whitfield-Gabrieli, S., Wan, F., Vuilleumier, P., Vialatte, F., Van De Ville, D., et al. (2020) · Brain · doi:10.1093/brain/awaa009 · Cited by 399 · see citing works
Self-citationfMRI neurofeedback in emotion regulation: A literature review
Linhartová, P., Látalová, A., Kóša, B., Kašpárek, T., Schmahl, C. G., & Paret, C. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.011 · Cited by 162 · see citing works
Brain Neuroplasticity Leveraging Virtual Reality and Brain–Computer Interface Technologies
Drigas, A. S., & Sideraki, A. (2024) · Sensors · doi:10.3390/s24175725 · Cited by 142 · see citing works
Efficacy of bio- and neurofeedback for depression: a meta-analysis
Fernández‐Álvarez, J., Grassi, M., Colombo, D., Botella, C., Cipresso, P., Perna, G., & Riva, G. (2021) · Psychological Medicine · doi:10.1017/s0033291721004396 · Cited by 97 · see citing works
Kohl, S. H., Veit, R., Spetter, M. S., Günther, A., Andriani, R., Lührs, M., Birbaumer, N., Preissl, H. T., & Hallschmid, M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.033 · Cited by 79 · see citing works
Self-citationNeurofeedback through the lens of reinforcement learning
Lubianiker, N., Paret, C., Dayan, P., & Hendler, T. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.03.008 · Cited by 73 · see citing works
A systematic review of fMRI neurofeedback reporting and effects in clinical populations
Tursic, A., Eck, J., Lührs, M., Linden, D. E. J., & Goebel, R. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102496 · Cited by 70 · see citing works
Self-citationTrambaiolli, L. R., Kohl, S. H., Linden, D. E. J., & Mehler, D. M. A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.015 · Cited by 72 · see citing works
Self-citationFede, S. J., Dean, S., Manuweera, T., & Momenan, R. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00060 · Cited by 70 · see citing works
EEG neurofeedback research: A fertile ground for psychiatry?
Batail, J.-M. V., Bioulac, S., Cabestaing, F., Daudet, C., Drapier, D., Fouillen, M., Fovet, T., Jaumard‐Hakoun, A., Jardri, R., Jeunet, C., et al. (2019) · L Encéphale · doi:10.1016/j.encep.2019.02.001 · Cited by 66 · see citing works
Haugg, A., Renz, F. M., Nicholson, A. A., Lor, C. S., Götzendorfer, S. J., Sladky, R., Skouras, S., McDonald, A., Craddock, C., Hellrung, L., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118207 · Cited by 65 · see citing works
Review of EEG-based neurofeedback as a therapeutic intervention to treat depression
Patil, A. U., Lin, C., Lee, S., Huang, H.-W., Wu, S., Madathil, D., & Huang, C. (2023) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2023.111591 · Cited by 69 · see citing works
Мельников, М. Е. (2021) · Neural Plasticity · doi:10.1155/2021/8878857 · Cited by 67 · see citing works
Trambaiolli, L. R., Cassani, R., Mehler, D. M. A., & Falk, T. H. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.682683 · Cited by 60 · see citing works
Self-citationReal-time fMRI for brain-computer interfacing
Sorger, B., & Goebel, R. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63934-9.00021-4 · Cited by 55 · see citing works
Self-citationTaylor, J. E., Yamada, T., Kawashima, T., Kobayashi, Y., Yoshihara, Y., Miyata, J., Murai, T., Kawato, M., & Motegi, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-05860-1 · Cited by 54 · see citing works
Klein, F., Kohl, S. H., Lührs, M., Mehler, D. M. A., & Sorger, B. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0087 · Cited by 61 · see citing works
Self-citationReal-time fMRI neurofeedback as a new treatment for psychiatric disorders: A meta-analysis
Pindi, P., Houenou, J., Piguet, C., & Favre, P. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110605 · Cited by 55 · see citing works
Mental Imagery and Brain Regulation—New Links Between Psychotherapy and Neuroscience
Skottnik, L., & Linden, D. E. J. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00779 · Cited by 61 · see citing works
Self-citationKhorev, V. S., Kurkin, S., Badarin, A., Antipov, V. M., Николаевна, П. Е., Andreev, A. V., Grubov, V., Drapkina, O. M., Kiselev, A. R., & Hramov, A. E. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2307125 · Cited by 56 · see citing works
Zweerings, J., Sarkheil, P., Keller, M., Dyck, M., Klasen, M., Becker, B., Gaebler, A. J., Ibrahim, C. N., Turetsky, B. I., Zvyagintsev, M., et al. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102483 · Cited by 45 · see citing works
Martz, M. E., Hart, T., Heitzeg, M. M., & Peltier, S. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102350 · Cited by 48 · see citing works
Bezmaternykh, D. D., Мельников, М. Е., Savelov, A. A., Kozlova, L. I., Petrovskiy, E. D., Natarova, K. A., & Shtark, M. B. (2021) · Neural Plasticity · doi:10.1155/2021/8846097 · Cited by 48 · see citing works
Sukhodolsky, D. G., Walsh, C. J., Koller, W. N., Eilbott, J. A., Rance, M., Fulbright, R. K., Zhao, Z., Bloch, M. H., King, R. A., Leckman, J. F., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.07.035 · Cited by 47 · see citing works
Takamura, M., Okamoto, Y., Shibasaki, C., Yoshino, A., Okada, G., Ichikawa, N., & Yamawaki, S. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.03.080 · Cited by 47 · see citing works
Lieberman, J. M., Rabellino, D., Densmore, M., Frewen, P., Steyrl, D., Scharnowski, F., Théberge, J., Neufeld, R. W. J., Schmahl, C. G., Jetly, R., et al. (2023) · Brain and Behavior · doi:10.1002/brb3.2883 · Cited by 46 · see citing works
Dudek, E. M., & Dodell‐Feder, D. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.12.020 · Cited by 44 · see citing works
Connectome-based neurofeedback: A pilot study to improve sustained attention
Scheinost, D., Hsu, T. W., Avery, E. W., Hampson, M., Constable, R. T., Chun, M. M., & Rosenberg, M. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116684 · Cited by 45 · see citing works
Oathes, D. J., Balderston, N. L., Kording, K. P., Deluisi, J. A., Perez, G. M., Medaglia, J. D., Yong Fan, A., Duprat, R., Satterthwaite, T. D., Sheline, Y. I., et al. (2021) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1553 · Cited by 43 · see citing works
Zhao, Z., Yao, S., Zweerings, J., Zhou, X., Zhou, F., Kendrick, K. M., Chen, H., Mathiak, K., & Becker, B. (2021) · Human Brain Mapping · doi:10.1002/hbm.25336 · Cited by 37 · see citing works
Direito, B., Mouga, S., Sayal, A., Simões, M. A., Quental, H., Bernardino, I., Playle, R., McNamara, R. L., Linden, D. E. J., Oliveira, G., et al. (2021) · Autism · doi:10.1177/13623613211002052 · Cited by 34 · see citing works
Self-citationJiang, Y., Jessee, W., Hoyng, S. C., Borhani, S., Liu, Z., Zhao, X., Price, L. K., High, W. M., Suhl, J., & Cerel‐Suhl, S. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.780817 · Cited by 35 · see citing works
Singer, N., Poker, G., Dunsky, N., Nemni, S., Balter, S. R., Doron, M., Baker, T. E., Dagher, A., Zatorre, R. J., & Hendler, T. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120183 · Cited by 35 · see citing works
Brain-computer interface paradigms and neural coding
Tai, P., Ding, P., Wang, F., Gong, A., Li, T., Zhao, L., Su, L., & Fu, Y. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1345961 · Cited by 35 · see citing works
Keller, M., Zweerings, J., Klasen, M., Zvyagintsev, M., Iglesias, J., Mendoza-Quiñones, R., & Mathiak, K. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.715898 · Cited by 33 · see citing works
Visual snow syndrome: a review on diagnosis, pathophysiology, and treatment
Traber, G. L., Piccirelli, M., & Michels, L. (2019) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000768 · Cited by 34 · see citing works
Nicholson, A. A., Rabellino, D., Densmore, M., Frewen, P., Steyrl, D., Scharnowski, F., Théberge, J., Neufeld, R. W. J., Schmahl, C. G., Jetly, R., et al. (2021) · Brain and Behavior · doi:10.1002/brb3.2441 · Cited by 33 · see citing works
Hampson, M., Ruíz, S., & Ushiba, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116473 · Cited by 34 · see citing works
Self-modulation of motor cortex activity after stroke: a randomized controlled trial
Sanders, Z., Fleming, M. K., Smejka, T., Marzolla, M. C., Zich, C., Rieger, S. W., Lührs, M., Goebel, R., Sampaio‐Baptista, C., & Johansen‐Berg, H. (2022) · Brain · doi:10.1093/brain/awac239 · Cited by 32 · see citing works
Self-citationDireito, B., Lima, J., Simões, M. A., Sayal, A., Sousa, T., Lührs, M., Ferreira, C., & Castelo-Branco, M. S. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.02.024 · Cited by 32 · see citing works
Self-citationMehler, D. M. A., Williams, A. N., Whittaker, J. R., Krause, F., Lührs, M., Kunas, S. L., Wise, R. G., Shetty, H. G. M., Turner, D. L., & Linden, D. E. J. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00226 · Cited by 32 · see citing works
Self-citationJaeckle, T., Williams, S., Barker, G. J., Basilio, R., Carr, E., Goldsmith, K., Colasanti, A., Giampietro, V., Cleare, A. J., Young, A. H., et al. (2021) · Psychological Medicine · doi:10.1017/s0033291721004797 · Cited by 36 · see citing works
Real-Time Functional MRI in the Treatment of Mental Health Disorders
Taschereau‐Dumouchel, V., Cushing, C. A., & Lau, H. C. (2022) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-072220-014550 · Cited by 33 · see citing works
Eggart, M., Queri, S., & Müller-Oerlinghausen, B. (2019) · Medical Hypotheses · doi:10.1016/j.mehy.2019.05.004 · Cited by 28 · see citing works
Blame-rebalance fMRI neurofeedback in major depressive disorder: A randomised proof-of-concept trial
Zahn, R., Weingartner, J. H., Basílio, R., Bado, P., Mattos, P., Sato, J. R., de Oliveira‐Souza, R., Fontenelle, L. F., Young, A. H., & Moll, J. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101992 · Cited by 29 · see citing works
Tsuchiyagaito, A., Misaki, M., Kirlić, N., Yu, X., Sánchez, S. M., Cochran, G., Stewart, J. L., Smith, R. S., Fitzgerald, K. D., Rohan, M. L., et al. (2023) · Psychotherapy and Psychosomatics · doi:10.1159/000528377 · Cited by 27 · see citing works
Pereira, J. A., Sepúlveda, P., Rana, M., Montalba, C., Cristián Tejos, N., Torres, R., Sitaram, R., & Ruíz, S. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00446 · Cited by 25 · see citing works
Mennen, A. C., Turk‐Browne, N. B., Wallace, G., Seok, D., Jaganjac, A., Stock, J., deBettencourt, M. T., Cohen, J. D., Norman, K. A., & Sheline, Y. I. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.10.006 · Cited by 25 · see citing works
Tsuchiyagaito, A., Misaki, M., Zoubi, O. A., Tulsa 1000 Investigators, Paulus, M. P., & Bodurka, J. (2020) · Human Brain Mapping · doi:10.1002/hbm.25268 · Cited by 23 · see citing works
Kjærstad, H. L., Rotenberg, L. D. S., Knudsen, G. M., Vinberg, M., Kessing, L. V., Macoveanu, J., Lafer, B., & Miskowiak, K. W. (2022) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13488 · Cited by 24 · see citing works
Humpston, C. S., Garrison, J. R., Orlov, N. D., Aleman, A., Jardri, R., Fernyhough, C., & Allen, P. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa103 · Cited by 23 · see citing works
Closed-loop neurostimulation for affective symptoms and disorders: An overview
Moreno, J. G., Biazoli, C. E., Baptista, A. F., & Trambaiolli, L. R. (2021) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108081 · Cited by 23 · see citing works
Papoutsi, M., Magerkurth, J., Josephs, O., Pépés, S. E., Ibitoye, T., Reilmann, R., Hunt, N., Payne, E., Weiskopf, N., Langbehn, D. R., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa049 · Cited by 22 · see citing works
Lieberman, J. M., Rabellino, D., Densmore, M., Frewen, P., Steyrl, D., Scharnowski, F., Théberge, J., Hosseini‐Kamkar, N., Neufeld, R. W. J., Jetly, R., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1229729 · Cited by 20 · see citing works
Toward a biopsychosocial model of hoarding disorder
Tolin, D. F. (2022) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2022.100775 · Cited by 19 · see citing works
Xia, Z., Yang, P., Chen, S., Zhou, H., & Yan, C. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae252 · Cited by 16 · see citing works
Getting stress-related disorders under control: the untapped potential of neurofeedback
Krause, F., Linden, D. E. J., & Hermans, E. J. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.08.007 · Cited by 16 · see citing works
Self-citationMindfulness-based neurofeedback: A systematic review of EEG and fMRI studies
Treves, I. N., Greene, K. D., Bajwa, Z., Wool, E., Kim, N., Bauer, C. C. C., Bloom, P. A., Pagliaccio, D., Zhang, J., Whitfield, S., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00396 · Cited by 20 · see citing works
Effect of neurofeedback therapy on neurological post-COVID-19 complications (A pilot study)
Orendáčová, M., Kvašňák, E., & Vránová, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271350 · Cited by 16 · see citing works
Sherwood, M. S., Parker, J. G., Diller, E. E., Ganapathy, S., Bennett, K. B., Esquivel, C. R., & Nelson, J. T. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.078 · Cited by 16 · see citing works
Integration of Multimodal Data for Deciphering Brain Disorders
Chen, J., Dong, G., Song, L., Zhao, X., Cao, J., Luo, X., Feng, J., & Zhao, X. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-092820-020354 · Cited by 16 · see citing works
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Tschentscher, N., Tafelmaier, J. C., Woll-Weber, C. F. J., Pogarell, O. M., Maywald, M., Vierl, L., Breitenstein, K., & Karch, S. (2024) · Brain Sciences · doi:10.3390/brainsci14070700 · Cited by 17 · see citing works
Feasibility of training the dorsolateral prefrontal-striatal network by real-time fMRI neurofeedback
Weiß, F., Zhang, J., Aslan, A., Kirsch, P., & Gerchen, M. F. (2022) · Scientific Reports · doi:10.1038/s41598-022-05675-0 · Cited by 15 · see citing works
Frontostriatal circuitry as a target for fMRI-based neurofeedback interventions: A systematic review
Orth, L., Meeh, J., Gur, R. C., Neuner, I., & Sarkheil, P. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.933718 · Cited by 14 · see citing works
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Hou, X., Xiao, X. N., Gong, Y., Li, Z., Chen, A., & Zhu, C. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.681193 · Cited by 14 · see citing works
Sundar, L. K. S., Baajour, S., Beyer, T., Lanzenberger, R. R., Traub‐Weidinger, T., Rausch, I., Pataraia, E., Hahn, A., Rischka, L., Hienert, M., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00252 · Cited by 12 · see citing works
Maywald, M., Paolini, M., Rauchmann, B., Christian, G., Heppe, J. L., Wolf, A., Lerchenberger, L., Tominschek, I., Stoecklein, S., Reidler, P., et al. (2022) · Brain Sciences · doi:10.3390/brainsci12121714 · Cited by 12 · see citing works
Pereira, D. J., Sayal, A., Pereira, J., Morais, S., Macedo, A., Direito, B., & Castelo-Branco, M. S. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1014223 · Cited by 12 · see citing works
Zhang, Y., Becker, B., Kendrick, K. M., Zhang, Q., & Yao, S. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03382-8 · Cited by 12 · see citing works
Russo, A. G., Lührs, M., Salle, F. D., Esposito, F., & Goebel, R. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abecc3 · Cited by 12 · see citing works
Self-citationPamplona, G. S. P., Heldner, J., Langner, R., Koush, Y., Michels, L., Ionta, S., Salmón, C. E. G., & Scharnowski, F. (2023) · Brain and Behavior · doi:10.1002/brb3.3217 · Cited by 12 · see citing works
Compère, L., Siegle, G. J., & Young, K. D. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01507-3 · Cited by 12 · see citing works
Cooke, A., Hindle, J. V., Lawrence, C. L., Bellomo, E., Pritchard, A. W., MacLeod, C. A., Martin-Forbes, P., Jones, S., Bracewell, R. M., Linden, D. E. J., et al. (2024) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2024.102997 · Cited by 11 · see citing works
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Thibault, R. T., & Pedder, H. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103008 · Cited by 12 · see citing works
Carìa, A., & Grecucci, A. (2022) · Psychophysiology · doi:10.1111/psyp.14237 · Cited by 9 · see citing works
Effects of neurofeedback on major depressive disorder: a systematic review
Dobbins, I. C. D. S., Bastos, M., Ratis, R. C., da Silva, W. C. F. N., & Bonini, J. S. (2023) · Einstein (São Paulo) · doi:10.31744/einstein_journal/2023rw0253 · Cited by 9 · see citing works
Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
Nakano, T., Takamura, M., Nishimura, H., Machizawa, M. G., Ichikawa, N., Yoshino, A., Okada, G., Okamoto, Y., Yamawaki, S., Yamada, M., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118733 · Cited by 9 · see citing works
Mehmood, A., Xu, S., Siddiqi, S. M., Zhang, L., Huang, G., Liang, Z., & Zhou, Y. (2025) · Dialogues in Clinical Neuroscience · doi:10.1080/19585969.2025.2579280 · Cited by 7 · see citing works
Semantic fMRI neurofeedback: a multi-subject study at 3 tesla
Ciarlo, A., Russo, A. G., Ponticorvo, S., Salle, F. D., Lührs, M., Goebel, R., & Esposito, F. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac6f81 · Cited by 8 · see citing works
Self-citationPereira, J. A., Ray, A. M., Rana, M., Silva, C., Salinas, C., Zamorano, F. J., Irani, M., Opazo, P., Sitaram, R., & Ruíz, S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.933559 · Cited by 8 · see citing works
fMRI neurofeedback for disorders of emotion regulation
Young, K. D., Fine, N. B., & Hendler, T. (2021) · fMRI Neurofeedback · doi:10.1016/b978-0-12-822421-2.00014-4 · Cited by 5 · see citing works
Мельников, М. Е., Bezmaternykh, D. D., Savelov, A. A., Petrovskiy, E. D., Kozlova, L. I., Natarova, K. A., Larina, T. D., Andamova, T. M., Zvyagintsev, M., Shtark, M. B., et al. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01462-0 · Cited by 8 · see citing works
Kohl, S. H., Melies, P., Uttecht, J., Lührs, M., Bell, L., Mehler, D. M. A., Soekadar, S. R., Viswanathan, S., & Konrad, K. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00014 · Cited by 7 · see citing works
Self-citationTrambaiolli, L. R., Tiwari, A., & Falk, T. H. (2021) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2021.678981 · Cited by 7 · see citing works
fMRI neurofeedback for the modulation of the neural networks associated with depression
Barreiros, A. R., Breukelaar, I. B., Harris, A. W. F., & Korgaonkar, M. S. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.10.003 · Cited by 6 · see citing works
Zahn, R. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119423 · Cited by 8 · see citing works
Autism spectrum disorder (ASD) classification with three types of correlations based on ABIDE Ⅰ data
Wang, D., Yang, X., & Ding, W. (2023) · Mathematical Foundations of Computing · doi:10.3934/mfc.2023042 · Cited by 6 · see citing works
Semantic fMRI neurofeedback of emotions: from basic principles to clinical applications
Goebel, R., Lührs, M., Ciarlo, A., Esposito, F., & Linden, D. E. J. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0084 · Cited by 6 · see citing works
Self-citationMesocorticolimbic Interactions Mediate fMRI-Guided Regulation of Self-Generated Affective States
Carìa, A. (2020) · Brain Sciences · doi:10.3390/brainsci10040223 · Cited by 5 · see citing works
Ratajczak, E. K., Hajnowski, M., Stawicki, M., & Duch, W. (2021) · Sensors · doi:10.3390/s21113670 · Cited by 7 · see citing works
Méndez, P. G., Sitaram, R., Stanley, J. A., & Climent, J. R. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11236909 · Cited by 6 · see citing works
Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: a meta analysisPreprint
Pindi, P., Houenou, J., Piguet, C., & Favre, P. (2021) · doi:10.31234/osf.io/r89sn · Cited by 6 · see citing works
Clinical Application of Real-Time fMRI-Based Neurofeedback for Depression
Mathiak, K., & Keller, M. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-981-33-6044-0_15 · Cited by 5 · see citing works
Real-Time fMRI in the Treatment of Mental Health DisordersPreprint
Taschereau‐Dumouchel, V., Cushing, C. A., & Lau, H. C. (2022) · doi:10.31234/osf.io/kxezs · Cited by 5 · see citing works
Yu, X., Tsuchiyagaito, A., Misaki, M., Cochran, G., Cohen, Z. P., Singh, M. K., Paulus, M. P., Aupperle, R. L., & Kirlić, N. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03445-w · Cited by 4 · see citing works
The application of neurofeedback for positive emotion enhancement in depression treatment
Che, Q., Yunlin, S. U. N., Jin, J. K., Zhu, C., Wang, K., Ye, R., & Yu, F. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2024.00342 · Cited by 4 · see citing works
Taebi, A., Mathiak, K., Becker, B., Klug, G. K., & Zweerings, J. (2024) · Human Brain Mapping · doi:10.1002/hbm.70077 · Cited by 4 · see citing works
An Overview of Machine Learning Applications in Mood Disorders
Topolski, N., Jeong, S. H., & Mwangi, B. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.017 · Cited by 4 · see citing works
Protocol design in fMRI neurofeedback studies
Hampson, M., & Linden, D. E. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822421-2.00012-0 · Cited by 4 · see citing works
Self-citationMehler, D. M. A., Kunas, S. L., Sokunbi, M. O., Goebel, R., & Linden, D. E. J. (2021) · doi:10.31234/osf.io/2msqp · Cited by 4 · see citing works
Self-citation
- Authors
- Mehler, D. M. A., Sokunbi, M. O., Habes, I., Barawi, K., Subramanian, L., Range, M., Evans, J., Hood, K., Lührs, M., Keedwell, P., Goebel, R., & Linden, D. E. J.
- Affiliations
- Cardiff University (GB)
- De Montfort University (GB)
- Maastricht University (NL)
- King's College London (GB)
- Corresponding author
- Linden, David E. J.
- ORCID
- Venue
- Neuropsychopharmacology
- Published
- 2018-06-23
- Volume
- 43
- Issue
- 13
- Pages
- 2578-2585
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- PMC
- PMC6186421
- OpenAlex
- W2808876118
- Cited by
- 175
- References
- 53
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 16 · 2023: 19 · 2022: 25 · 2021: 54 · 2020: 21 · 2019: 13 · 2018: 4
- FWCI
- 10.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuropsychopharmacology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- DMU Open Research Archive (De Montfort University) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- National Institute for Social Care and Health Research (HS/10/25)
- Health and Care Research Wales (HS/14/20)
- Cancer Research UK
- European Commission (602186)
- Medical Research Council (MR/L010305/1)
- Topics
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- fMRI neurofeedback, depression, emotion regulation, real-time fMRI, visual scene processing, antidepressant augmentation, self-efficacy, placebo effect, regression to the mean, self-regulation training
- MeSH terms
- Adult, Brain, Computer Systems, Depressive Disorder, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Pilot Projects, Treatment Outcome, Self Efficacy, Neurofeedback
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