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Jump to: Neurofeedback Clinical Reviews Methods
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Rance, M., Walsh, C., Sukhodolsky, D. G., Pittman, B., Qiu, M., Kichuk, S. A., … others. (2018). Time course of clinical change following neurofeedback. NeuroImage.
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Hellrung, L., Borchardt, V., Gotting, F. N., Stadler, J., Tempelmann, C., Tobler, P., … Meer, J. van der. (2018). Motion and physiological noise effects on amygdala real-time fMRI neurofeedback learning. BioRxiv, 366138.
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Torner, J., Skouras, S., Gispert, J. D., Molinuevo, J. L., and Alpiste, F. (2018). Multipurpose virtual reality environment for biomedical and health applications. BioRxiv, 366302.
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deBettencourt, M. T., Turk-Browne, N. B., and Norman, K. A. (2018). Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval. BioRxiv, 355727.
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Ramot, M., and Gonzalez-Castillo, J. (2018). A framework for offline evaluation and optimization of real-time algorithms for use in neurofeedback, demonstrated on an instantaneous proxy for correlations. BioRxiv, 351072.
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Zich, C., Haller, S. P. W., Luehrs, M., Lisk, S., Lau, J. Y. F., and Kadosh, K. C. (2018). Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks during adolescence. BioRxiv, 347971.
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Kaas, A. L., Valente, G., Goebel, R., and Sorger, B. (2018). Somatosensory imagery induces topographically specific activation patterns instrumental to fMRI-based Brain Computer Interfacing. BioRxiv, 296640.
Papoutisi, M., Weiskopf, N., Langbehn, D., Reilmann, R., Rees, G., and Tabrizi, S. J. (2018). Stimulating neural plasticity with real‐time fMRI neurofeedback in Huntington’s disease: A proof of concept study. Human Brain Mapping.
Christian, P., Jenny, Z., Matthias, R., Fungisai, G. M., Stephanie, M., Talma, H., … Gabriele, E. (2018). Monitoring and control of amygdala neurofeedback involves distributed information processing in the human brain. Human Brain Mapping.
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Li, Z., Zhang, C.-Y., Huang, J., Wang, Y., Yan, C., Li, K., … Chan, R. C. K. (2018). Improving motivation through real-time fMRI-based self-regulation of the nucleus accumbens. Neuropsychology.
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Liu, N., Yu, X., Yao, L., and Zhao, X. (2018). Mapping the Cortical Network Arising From Up-Regulated Amygdaloidal Activation Using λ-Louvain Algorithm. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(6), 1169–1177.
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Taschereau-Dumouchel, V., Cortese, A., Chiba, T., Knotts, J. D., Kawato, M., and Lau, H. (2018). Towards an unconscious neural reinforcement intervention for common fears. Proceedings of the National Academy of Sciences, 115(13), 3470–3475.
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Hellrung, L., Dietrich, A., Hollmann, M., Pleger, B., Kalberlah, C., Roggenhofer, E., … Horstmann, A. (2018). Intermittent compared to continuous real-time fMRI neurofeedback boosts control over amygdala activation. NeuroImage, 166, 198–208.
Lorenz, R., Violante, I. R., Monti, R. P., Montana, G., Hampshire, A., and Leech, R. (2017). Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization. BioRxiv, 128678.
Koizumi, A., Amano, K., Cortese, A., Shibata, K., Yoshida, W., Seymour, B., … Lau, H. (2016). Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure. Nature Human Behaviour, 1, 0006.
Cortese, A., Amano, K., Koizumi, A., Kawato, M., and Lau, H. (2016). Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance. Nature Communications, 7.
Amano, K., Shibata, K., Kawato, M., Sasaki, Y., and Watanabe, T. (2016). Learning to associate orientation with color in early visual areas by associative decoded fMRI neurofeedback. Current Biology, 26(14), 1861–1866.
Janssen, T. W. P., Bink, M., Geladé, K., van Mourik, R., Maras, A., and Oosterlaan, J. (2016). A randomized controlled trial investigating the effects of neurofeedback, methylphenidate, and physical activity on event-related potentials in children with attention-deficit/hyperactivity disorder. Journal of Child and Adolescent Psychopharmacology, 26(4), 344–353.
Engelbregt, H. J., Keeser, D., van Eijk, L., Suiker, E. M., Eichhorn, D., Karch, S., … Pogarell, O. (2016). Short and long-term effects of sham-controlled prefrontal EEG-neurofeedback training in healthy subjects. Clinical Neurophysiology, 127(4), 1931–1937.
Hernandez, L. D., Rieger, K., Baenninger, A., Brandeis, D., and Koenig, T. (2016). Towards using microstate-neurofeedback for the treatment of psychotic symptoms in schizophrenia. A feasibility study in healthy participants. Brain Topography, 29(2), 308–321.
Foldes, S. T., Weber, D. J., and Collinger, J. L. (2015). MEG-based neurofeedback for hand rehabilitation. Journal of Neuroengineering and Rehabilitation, 12(1), 1.
Okazaki, Y. O., Horschig, J. M., Luther, L., Oostenveld, R., Murakami, I., and Jensen, O. (2015). Real-time MEG neurofeedback training of posterior alpha activity modulates subsequent visual detection performance. NeuroImage, 107, 323–332.
Merkel, N., Bland, G., Wibral, M., and Singer, W. (2015). Changing High Frequency Oscillatory Patterns in Early Visual Cortex with MEG Neurofeedback. In 6th European Conference of the International Federation for Medical and Biological Engineering, pages 930–933. Springer.
Kober, S. E., Schweiger, D., Witte, M., Reichert, J. L., Grieshofer, P., Neuper, C., and Wood, G. (2015). Specific effects of EEG based neurofeedback training on memory functions in post-stroke victims. Journal of Neuroengineering and Rehabilitation, 12(1), 1.
Rogel, A., Guez, J., Getter, N., Keha, E., Cohen, T., Amor, T., and Todder, D. (2015). Transient Adverse Side Effects During Neurofeedback Training: A Randomized, Sham-Controlled, Double Blind Study. Applied Psychophysiology and Biofeedback, 40(3), 209–218.
Quaedflieg, C. W. E. M., Smulders, F. T. Y., Meyer, T., Peeters, F. P. M. L., Merckelbach, H. L. G. J., and Smeets, T. (2015). The validity of individual frontal alpha asymmetry EEG neurofeedback. Social Cognitive and Affective Neuroscience, nsv090.
Von Carlowitz-Ghori, K., Bayraktaroglu, Z., Waterstraat, G., Curio, G., and Nikulin, V. V. (2015). Voluntary control of corticomuscular coherence through neurofeedback: a proof-of-principle study in healthy subjects. Neuroscience, 290, 243–254.
Vukelić, M., and Gharabaghi, A. (2015). Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality. Neuroimage, 111, 1–11.
Wang, Y., Sokhadze, E. M., El-Baz, A. S., Li, X., Sears, L., Casanova, M. F., and Tasman, A. (2015). Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder. Frontiers in Human Neuroscience, 9.
Reichert, C., Fendrich, R., Bernarding, J., Tempelmann, C., Hinrichs, H., and Rieger, J. W. (2015). Online tracking of the contents of conscious perception using real-time fMRI. Probing Auditory Scene Analysis, 69.
Scharnowski, F., Veit, R., Zopf, R., Studer, P., Bock, S., Diedrichsen, J., … Weiskopf, N. (2015). Manipulating motor performance and memory through real-time fMRI neurofeedback. Biological Psychology, 108, 85–97.
Megumi, F., Yamashita, A., Kawato, M., and Imamizu, H. (2015). Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network. Frontiers in Human Neuroscience, 9, 160.
Gröne, M., Dyck, M., Koush, Y., Bergert, S., Mathiak, K. A., Alawi, E. M., … Mathiak, K. (2015). Upregulation of the rostral anterior cingulate cortex can alter the perception of emotions: fMRI-based neurofeedback at 3 and 7 T. Brain Topography, 28(2), 197–207.
deBettencourt, M. T., Cohen, J. D., Lee, R. F., Norman, K. A., Turk-Browne, N. B., and others. (2015). Closed-loop training of attention with real-time brain imaging. Nature Neuroscience, 18(3), 470–475.
Blefari, M. L., Sulzer, J., Hepp-Reymond, M.-C., Kollias, S., and Gassert, R. (2015). Improvement in precision grip force control with self-modulation of primary motor cortex during motor imagery. Frontiers in Behavioral Neuroscience, 9, 18.
Shen, J., Zhang, G., Yao, L., and Zhao, X. (2015). Real-time fMRI training-induced changes in regional connectivity mediating verbal working memory behavioral performance. Neuroscience, 289, 144–152.
Sarkheil, P., Zilverstand, A., Kilian-Hütten, N., Schneider, F., Goebel, R., and Mathiak, K. (2015). fMRI feedback enhances emotion regulation as evidenced by a reduced amygdala response. Behavioural Brain Research, 281, 326–332.
Scharnowski, F., Rosa, M. J., Golestani, N., Hutton, C., Josephs, O., Weiskopf, N., and Rees, G. (2014). Connectivity changes underlying neurofeedback training of visual cortex activity. PloS One, 9(3), e91090.
Moll, J., Weingartner, J. H., Bado, P., Basilio, R., Sato, J. R., Melo, B. R., … Zahn, R. (2014). Voluntary enhancement of neural signatures of affiliative emotion using FMRI neurofeedback. PloS One, 9(5), e97343.
Greer, S. M., Trujillo, A. J., Glover, G. H., and Knutson, B. (2014). Control of nucleus accumbens activity with neurofeedback. NeuroImage, 96, 237–244.
Sokunbi, M. O., Linden, D. E. J., Habes, I., Johnston, S., and Ihssen, N. (2014). Real-time fMRI brain-computer interface: development of a “motivational feedback” subsystem for the regulation of visual cue reactivity. Frontiers in Behavioral Neuroscience, 8, 392.
Emmert, K., Breimhorst, M., Bauermann, T., Birklein, F., Van De Ville, D., and Haller, S. (2014). Comparison of anterior cingulate vs. insular cortex as targets for real-time fMRI regulation during pain stimulation. Frontiers in Behavioral Neuroscience, 8, 350.
Scheinost, D., Stoica, T., Wasylink, S., Gruner, P., Saksa, J., Pittenger, C., and Hampson, M. (2014). Resting state functional connectivity predicts neurofeedback response. Frontiers in Behavioral Neuroscience, 8, 338.
Leeds, D. D., Pyles, J. A., and Tarr, M. J. (2014). Exploration of complex visual feature spaces for object perception. Frontiers in Computational Neuroscience, 8, 106.
Li, X., Yao, L., Ye, Q., and Zhao, X. (2014). Online Spatial Normalization for Real-Time fMRI. PloS One, 9(7), e103302.
Hui, M., Zhang, H., Ge, R., Yao, L., and Long, Z. (2014). Modulation of functional network with real-time fMRI feedback training of right premotor cortex activity. Neuropsychologia, 62, 111–123.
Rance, M., Ruttorf, M., Nees, F., Schad, L. R., and Flor, H. (2014). Real time fMRI feedback of the anterior cingulate and posterior insular cortex in the processing of pain. Human Brain Mapping, 35(12), 5784–5798.
Shibata, K., Watanabe, T., Sasaki, Y., and Kawato, M. (2011). Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation. Science, 334(6061), 1413–1415.
Jump to: Neurofeedback Clinical Reviews Methods
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Zhang, S., Yoshida, W., Mano, H., Yanagisawa, T., Shibata, K., Kawato, M., and Seymour, B. (2018). Endogenous controllability of closed-loop brain-machine interfaces for pain. BioRxiv, 369736.
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Skouras, S., and Scharnowski, F. (2018). The effects of psychiatric history and age on self-regulation of the default mode network. BioRxiv, 342220.
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Kirschner, M., Sladky, R., Haugg, A., Staempfli, P., Jehli, E., Hodel, M., … Herdener, M. (2018). Self-regulation of the Dopaminergic Reward Circuit in Cocaine Users with Mental Imagery and Neurofeedback. BioRxiv, 321166.
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Zhao, Z., Yao, S., Li, K., Sindermann, C., Zhou, F., Zhao, W., … Becker, B. (2018). Real-time functional connectivity-based neurofeedback of amygdala-frontal pathways reduces anxiety. BioRxiv, 308924.
MacDuffie, K. E., MacInnes, J., Dickerson, K. C., Eddington, K. M., Strauman, T. J., and Adcock, R. A. (2018). Single session real-time fMRI neurofeedback has a lasting impact on cognitive behavioral therapy strategies. NeuroImage: Clinical.
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Zotev, V., Phillips, R., Misaki, M., Wong, C. K., Wurfel, B. E., Krueger, F., … Bodurka, J. (2018). Real-time fMRI neurofeedback training of the amygdala activity with simultaneous EEG in veterans with combat-related PTSD. NeuroImage: Clinical, 19, 106–121.
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Nicholson, A. A., Rabellino, D., Densmore, M., Frewen, P. A., Paret, C., Kluetsch, R., … Lanius, R. A. (2018). Intrinsic connectivity network dynamics in PTSD during amygdala downregulation. Human Brain Mapping, 0(0).
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Mehler, D. M. A., Sokunbi, M. O., Habes, I., Barawi, K., Subramanian, L., Range, M., … Linden, D. E. J. (2018). Targeting the affective brain—a randomized controlled trial of real-time fMRI neurofeedback in patients with depression. Neuropsychopharmacology, 1.
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Zweerings, J., Pflieger, E. M., Mathiak, K. A., Zvyagintsev, M., Kacela, A., Flatten, G., and Mathiak, K. (2018). Impaired Voluntary Control in PTSD: Probing Self-Regulation of the ACC With Real-Time fMRI. Frontiers in Psychiatry, 9.
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Orlov, N. D., Giampietro, V., O’Daly, O., Lam, S.-L., Barker, G. J., Rubia, K., … Allen, P. (2018). Real-time fMRI neurofeedback to down-regulate superior temporal gyrus activity in patients with schizophrenia and auditory hallucinations: a proof-of-concept study. Translational Psychiatry, 8(1), 46.
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Gerchen, M. F., Kirsch, M., Bahs, N., Halli, P., Gerhardt, S., Schäfer, A., … Kirsch, P. (2018). The SyBil-AA real-time fMRI neurofeedback study: protocol of a single-blind randomized controlled trial in alcohol use disorder. BMC Psychiatry, 18(1), 12.
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Pierrefeu, A. de, Fovet, T., Hadj‐Selem, F., Löfstedt, T., Ciuciu, P., Lefebvre, S., … Duchesnay, E. (2018). Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity. Human Brain Mapping, 39(4), 1777–1788.
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Kleinjung, T., Thüring, C., Güntensperger, D., Neff, P., and Meyer, M. (2018). Neurofeedback in der Behandlung des chronischen Tinnitus. HNO, 66(3), 198–204.
Nicholson, A. A., Rabellino, D., Densmore, M., Frewen, P. A., Paret, C., Kluetsch, R., … others. (2017). The neurobiology of emotion regulation in posttraumatic stress disorder: Amygdala downregulation via real-time fMRI neurofeedback. Human Brain Mapping, 38(1), 541–560.
Cortese, A., Amano, K., Koizumi, A., Lau, H., and Kawato, M. (2017). Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants. NeuroImage, 149, 323–337.
Zilverstand, A., Sorger, B., Slaats-Willemse, D., Kan, C. C., Goebel, R., and Buitelaar, J. K. (2017). fMRI Neurofeedback Training for Increasing Anterior Cingulate Cortex Activation in Adult Attention Deficit Hyperactivity Disorder. An Exploratory Randomized, Single-Blinded Study. PLoS One, 12(1), e0170795.
Blume, F., Hudak, J., Dresler, T., Ehlis, A.-C., Kühnhausen, J., Renner, T. J., and Gawrilow, C. (2017). NIRS-based neurofeedback training in a virtual reality classroom for children with attention-deficit/hyperactivity disorder: study protocol for a randomized controlled trial. Trials, 18(1), 41.
Liu, N., Cliffer, S., Pradhan, A. H., Lightbody, A., Hall, S. S., and Reiss, A. L. (2017). Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data. Neurophotonics, 4(1), 011003–011003.
Kober, S. E., Schweiger, D., Reichert, J. L., Neuper, C., and Wood, G. (2017). Upper Alpha Based Neurofeedback Training in Chronic Stroke: Brain Plasticity Processes and Cognitive Effects. Applied Psychophysiology and Biofeedback, 1–15.
Moreno-Garcı́a Inmaculada, Meneres-Sancho, S., Camacho-Vara de Rey, C., and Servera, M. (2017). A Randomized Controlled Trial to Examine the Posttreatment Efficacy of Neurofeedback, Behavior Therapy, and Pharmacology on ADHD Measures. Journal of Attention Disorders, 1087054717693371.
Friesen, C. L., Bardouille, T., Neyedli, H. F., and Boe, S. G. (2017). Combined Action Observation and Motor Imagery Neurofeedback for Modulation of Brain Activity. Frontiers in Human Neuroscience, 10, 692.
Emmert, K., Kopel, R., Koush, Y., Maire, R., Senn, P., Van De Ville, D., and Haller, S. (2017). Continuous vs. intermittent neurofeedback to regulate auditory cortex activity of tinnitus patients using real-time fMRI-A pilot study. NeuroImage: Clinical.
Mennella, R., Patron, E., and Palomba, D. (2017). Frontal alpha asymmetry neurofeedback for the reduction of negative affect and anxiety. Behaviour Research and Therapy.
Mohagheghi, A., Amiri, S., Moghaddasi Bonab, N., Chalabianloo, G., Noorazar, S. G., Tabatabaei, S. M., and Farhang, S. (2017). A Randomized Trial of Comparing the Efficacy of Two Neurofeedback Protocols for Treatment of Clinical and Cognitive Symptoms of ADHD: Theta Suppression/Beta Enhancement and Theta Suppression/Alpha Enhancement. BioMed Research International, 2017.
Fielenbach, S., Donkers, F. C. L., Spreen, M., and Bogaerts, S. (2017). Neurofeedback as a Treatment for Impulsivity in a Forensic Psychiatric Population With Substance Use Disorder: Study Protocol of a Randomized Controlled Trial Combined With an N-of-1 Clinical Trial. JMIR Research Protocols, 6(1), e13.
Alves-Pinto, A., Turova, V., Blumenstein, T., Hantuschke, C., and Lampe, R. (2017). Implicit Learning of a Finger Motor Sequence by Patients with Cerebral Palsy After Neurofeedback. Applied Psychophysiology and Biofeedback, 1–11.
Lee, E.-J., and Jung, C.-H. (2017). Additive effects of neurofeedback on the treatment of ADHD: A randomized controlled study. Asian Journal of Psychiatry, 25, 16–21.
Kalaivani, M., Jeyalakshmi, M. S., and Aarthy, M. T. (2017). Neurofeedback training for elderly with increased stress level. In Intelligent Systems and Control (ISCO), 2017 11th International Conference on, pages 129–133. IEEE.
Heidari, Z., Taremian, F., and Khalatbari, J. (2017). The Effect of Modified Alpha-Theta Neurofeedback Protocol on Instant Craving in Opioid Users. ZUMS Journal, 25(109), 130–139.
Keynan, J. N., Meir-Hasson, Y., Gilam, G., Cohen, A., Jackont, G., Kinreich, S., … others. (2016). Limbic activity modulation guided by fMRI-inspired EEG improves implicit emotion regulation. Biological Psychiatry.
Paret, C., Ruf, M., Gerchen, M. F., Kluetsch, R., Demirakca, T., Jungkunz, M., … Ende, G. (2016). fMRI neurofeedback of amygdala response to aversive stimuli enhances prefrontal–limbic brain connectivity. NeuroImage, 125, 182–188.
Zotev, V., Yuan, H., Misaki, M., Phillips, R., Young, K. D., Feldner, M. T., and Bodurka, J. (2016). Correlation between amygdala BOLD activity and frontal EEG asymmetry during real-time fMRI neurofeedback training in patients with depression. NeuroImage: Clinical, 11, 224–238.
Hamilton, J. P., Glover, G. H., Bagarinao, E., Chang, C., Mackey, S., Sacchet, M. D., and Gotlib, I. H. (2016). Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder. Psychiatry Research: Neuroimaging, 249, 91–96.
Liew, S.-L., Rana, M., Cornelsen, S., Fortunato de Barros Filho, M., Birbaumer, N., Sitaram, R., … Soekadar, S. R. (2016). Improving motor corticothalamic communication after stroke using real-time fMRI connectivity-based neurofeedback. Neurorehabilitation and Neural Repair, 30(7), 671–675.
Mayer, K., Blume, F., Wyckoff, S. N., Brokmeier, L. L., and Strehl, U. (2016). Neurofeedback of slow cortical potentials as a treatment for adults with Attention Deficit-/Hyperactivity Disorder. Clinical Neurophysiology, 127(2), 1374–1386.
González-Castro, P., Cueli, M., Rodrı́guez Celestino, Garcı́a Trinidad, and Álvarez, L. (2016). Efficacy of neurofeedback versus pharmacological support in subjects with ADHD. Applied Psychophysiology and Biofeedback, 41(1), 17–25.
Surmeli, T., Eralp, E., Mustafazade, I., Kos, H., Özer, G. E., and Surmeli, O. H. (2016). Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia 20 Cases. How Neurometric Analysis Is Important for the Treatment of Dementia and as a Biomarker? Clinical EEG and Neuroscience, 47(2), 118–133.
Zhigalov, A., Kaplan, A., and Palva, J. M. (2016). Modulation of critical brain dynamics using closed-loop neurofeedback stimulation. Clinical Neurophysiology, 127(8), 2882–2889.
Lackner, N., Unterrainer, H. F., Skliris, D., Wood, G., Wallner-Liebmann, S. J., Neuper, C., and Gruzelier, J. H. (2016). The effectiveness of visual short-time neurofeedback on brain activity and clinical characteristics in alcohol use disorders: Practical issues and results. Clinical EEG and Neuroscience, 47(3), 188–195.
Gapen, M., van der Kolk, B. A., Hamlin, E., Hirshberg, L., Suvak, M., and Spinazzola, J. (2016). A pilot study of neurofeedback for chronic PTSD. Applied Psychophysiology and Biofeedback, 41(3), 251–261.
Gerin, M. I., Fichtenholtz, H., Roy, A., Walsh, C. J., Krystal, J. H., Southwick, S., and Hampson, M. (2016). Real-time fMRI neurofeedback with war veterans with chronic PTSD: a feasibility study. Frontiers in Psychiatry, 7.
Hsueh, J.-J., Chen, T.-S., Chen, J.-J., and Shaw, F.-Z. (2016). Neurofeedback training of EEG alpha rhythm enhances episodic and working memory. Human Brain Mapping, 37(7), 2662–2675.
Fovet, T., Orlov, N., Dyck, M., Allen, P., Mathiak, K., and Jardri, R. (2016). Translating neurocognitive models of auditory-verbal hallucinations into therapy: using real-time fMRI-neurofeedback to treat voices. Frontiers in Psychiatry, 7.
Micoulaud-Franchi, J.-A., and Fovet, T. (2016). Neurofeedback: time needed for a promising non-pharmacological therapeutic method. The Lancet Psychiatry, 3(9), e16.
Pacheco, N. C. (2016). Neurofeedback for peak performance training. Journal of Mental Health Counseling, 38(2), 116–123.
Cheon, E.-J., Koo, B.-H., and Choi, J.-H. (2016). The Efficacy of Neurofeedback in Patients with Major Depressive Disorder: An Open Labeled Prospective Study. Applied Psychophysiology and Biofeedback, 41(1), 103–110.
Benioudakis, E. S., Kountzaki, S., Batzou, K., Markogiannaki, K., Seliniotaki, T., Darakis, E., … Nestoros, J. N. (2016). Can Neurofeedback Decrease Anxiety and Fear in Cancer Patients? A Case Study. Postępy Psychiatrii i Neurologii, 25(1), 59–65.
Bluschke, A., Broschwitz, F., Kohl, S., Roessner, V., and Beste, C. (2016). The neuronal mechanisms underlying improvement of impulsivity in ADHD by theta/beta neurofeedback. Scientific Reports, 6.
Emmert, K., Breimhorst, M., Bauermann, T., Birklein, F., Rebhorn, C., Van De Ville, D., and Haller, S. (2016). Active pain coping is associated with the response in real-time fMRI neurofeedback during pain. Brain Imaging and Behavior, 1–10.
Ihssen, N., Sokunbi, M. O., Lawrence, A. D., Lawrence, N. S., and Linden, D. E. J. (2016). Neurofeedback of visual food cue reactivity: a potential avenue to alter incentive sensitization and craving. Brain Imaging and Behavior, 1–10.
Gomez-Pilar, J., Corralejo, R., Nicolas-Alonso, L. F., Álvarez, D., and Hornero, R. (2016). Neurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderly. Medical & Biological Engineering & Computing, 54(11), 1655–1666.
Lackner, N., Unterrainer, H.-F., Skliris, D., Shaheen, S., Dunitz-Scheer, M., Wood, G., … Neuper, C. (2016). EEG neurofeedback effects in the treatment of adolescent anorexia nervosa. Eating Disorders, 24(4), 354–374.
Marxen, M., Jacob, M. J., Müller, D. K., Posse, S., Ackley, E., Hellrung, L., … Smolka, M. N. (2016). Amygdala regulation following fmri-neurofeedback without instructed strategies. Frontiers in Human Neuroscience, 10.
Jensen, M. P., Gianas, A., George, H. R., Sherlin, L. H., Kraft, G. H., and Ehde, D. M. (2016). Use of neurofeedback to enhance response to hypnotic analgesia in individuals with multiple sclerosis. International Journal of Clinical and Experimental Hypnosis, 64(1), 1–23.
Ramot, M., Grossman, S., Friedman, D., and Malach, R. (2016). Covert neurofeedback without awareness shapes cortical network spontaneous connectivity. Proceedings of the National Academy of Sciences, 201516857.
van Lutterveld, R., Houlihan, S. D., Pal, P., Sacchet, M. D., McFarlane-Blake, C., Patel, P. R., … others. (2016). Source-space EEG neurofeedback links subjective experience with brain activity during effortless awareness meditation. NeuroImage.
Rozengurt, R., Barnea, A., Uchida, S., and Levy, D. A. (2016). Theta EEG neurofeedback benefits early consolidation of motor sequence learning. Psychophysiology, 53(7), 965–973.
Dyck, M. S., Mathiak, K. A., Bergert, S., Sarkheil, P., Koush, Y., Alawi, E. M., … Mathiak, K. (2016). Targeting treatment-resistant auditory verbal hallucinations in schizophrenia with fMRI-based neurofeedback–exploring different cases of schizophrenia. Frontiers in Psychiatry, 7.
Geladé, K., Janssen, T. W. P., Bink, M., van Mourik, R., Maras, A., and Oosterlaan, J. (2016). Behavioral effects of neurofeedback compared to stimulants and physical activity in attention-deficit/hyperactivity disorder: a randomized controlled trial. Journal of Clinical Psychiatry, 77(10), e1270–e1277.
Kim, J.-H., Park, E.-J., and Oh, N.-rae. (2016). Effects of neurofeedback training on life stress and depression in female college students. Journal of Digital Convergence, 14(3), 299–307.
Deilami, M., Jahandideh, A., Kazemnejad, Y., Fakour, Y., Alipoor, S., Rabiee, F., … Mosavi, S. A. (2016). The effect of neurofeedback therapy on reducing symptoms associated with attention deficit hyperactivity disorder: A case series study. Basic and Clinical Neuroscience, 7(2), 167.
Geladé, K., Bink, M., Janssen, T. W. P., van Mourik, R., Maras, A., and Oosterlaan, J. (2016). An RCT into the effects of neurofeedback on neurocognitive functioning compared to stimulant medication and physical activity in children with ADHD. European Child & Adolescent Psychiatry, 1–12.
Bink, M., Bongers, I. L., Popma, A., Janssen, T. W. P., and van Nieuwenhuizen, C. (2016). 1-year follow-up of neurofeedback treatment in adolescents with attention-deficit hyperactivity disorder: randomised controlled trial. British Journal of Psychiatry Open, 2(2), 107–115.
Liu, Y., Hou, X., Sourina, O., and Bazanova, O. (2016). Individual Theta/Beta Based Algorithm for Neurofeedback Games to Improve Cognitive Abilities. In Transactions on Computational Science XXVI, pages 57–73. Springer.
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Oblak, E. F., Sulzer, J. S., and Lewis-Peacock, J. A. (2018). A simulation-based approach to improve decoded neurofeedback performance. BioRxiv.
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