Neurofeedback Abstracts Full Text

Zolfaghari, H., Andiapen, M., Baumbach, A., Mathur, A., & Kerswell, R. R. (2023). Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics. PLoS Computational Biology, 19(10), 1–23. https://doi.org/10.1371/journal.pcbi.1011479 Cite

Min, B., Park, H., Kim, J. I., Lee, S., Back, S., Lee, E., Oh, S., Yun, J.-Y., Kim, B.-N., Kim, Y., Hwang, J., Lee, S., & Kim, J.-H. (2023). The Effectiveness of a Neurofeedback-Assisted Mindfulness Training Program Using a Mobile App on Stress Reduction in Employees: Randomized Controlled Trial. JMIR MHealth and UHealth, 11, 1–24. https://doi.org/10.2196/42851 Cite

He, K., Jiang, J., Chen, M., Wang, T., Huang, X., Zhu, R., Zhang, Z., Chen, J., & Zhao, L. (2023). Effects of occupational therapy on quality of life in breast cancer patients: A systematic review and meta-analysis. Medicine, 102(31), 1–13. https://doi.org/10.1097/MD.0000000000034484 Cite

Lee, I., Kim, D., Kim, S., Kim, H. J., Chung, U. S., & Lee, J. J. (2023). Cognitive training based on functional near-infrared spectroscopy neurofeedback for the elderly with mild cognitive impairment: a preliminary study. Frontiers in Aging Neuroscience, 15, 1–11. https://doi.org/10.3389/fnagi.2023.1168815 Cite

Nakamura-Palacios, E. M., Falçoni Júnior, A. T., Anders, Q. S., De Paula, L. D. S. P., Zottele, M. Z., Ronchete, C. F., & Lirio, P. H. C. (2023). Would frontal midline theta indicate cognitive changes induced by non-invasive brain stimulation? A mini review. Frontiers in Human Neuroscience, 17, 1116890. https://doi.org/10.3389/fnhum.2023.1116890 Cite

Noble, S.-C., Woods, E., Ward, T., & Ringwood, J. V. (2023). Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial. JMIR Research Protocols, 12, 1–11. https://doi.org/10.2196/46135 Cite

Lucas, I., Solé-Morata, N., Baenas, I., Rosinska, M., Fernández-Aranda, F., & Jiménez-Murcia, S. (2023). Biofeedback Interventions for Impulsivity-related Processes in Addictive Disorders. Current Addiction Reports, 10(3), 543–552. https://doi.org/10.1007/s40429-023-00499-y Cite

Fotuhi, M., Khorrami, N. D., & Raji, C. A. (2023). Benefits of a 12-Week Non-Drug “Brain Fitness Program” for Patients with Attention-Deficit/Hyperactive Disorder, Post-Concussion Syndrome, or Memory Loss. Journal of Alzheimer’s Disease Reports, 7(1), 675–697. https://doi.org/10.3233/ADR-220091 Cite

Morga, R., Góral-Półrola, J., Goździewska, M., Krupa, K., & Pąchalska, M. (2023). A new form of neurotherapy for a patient with anxiety disorder and anomic aphasia after neurosurgery for a ruptured brain aneurysm post-COVID-19. Annals of Agricultural and Environmental Medicine: AAEM, 30(2), 331–341. https://doi.org/10.26444/aaem/167370 Cite

Tetsuka, M., Sakurada, T., Matsumoto, M., Nakajima, T., Morita, M., Fujimoto, S., & Kawai, K. (2023). Higher prefrontal activity based on short-term neurofeedback training can prevent working memory decline in acute stroke. Frontiers in Systems Neuroscience, 17, 1–13. https://doi.org/10.3389/fnsys.2023.1130272 Cite

Zebhauser, P. T., Hohn, V. D., & Ploner, M. (2023). Resting-state electroencephalography and magnetoencephalography as biomarkers of chronic pain: a systematic review. Pain, 164(6), 1200–1221. https://doi.org/10.1097/j.pain.0000000000002825 Cite

Schuurman, B. B., Vossen, C. J., van Amelsvoort, T. A. M. J., & Lousberg, R. L. (2023). Does baseline EEG activity differ in the transition to or from a chronic pain state? A longitudinal study. Pain Practice: The Official Journal of World Institute of Pain, 23(5), 479–492. https://doi.org/10.1111/papr.13204 Cite

Levitt, J., Yang, Z., Williams, S. D., Lütschg Espinosa, S. E., Garcia-Casal, A., & Lewis, L. D. (2023). EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI. NeuroImage, 273, 1–23. https://doi.org/10.1016/j.neuroimage.2023.120092 Cite

Marcos-Martínez, D., Santamaría-Vázquez, E., Martínez-Cagigal, V., Pérez-Velasco, S., Rodríguez-González, V., Martín-Fernández, A., Moreno-Calderón, S., & Hornero, R. (2023). ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces. Computers in Biology and Medicine, 160, 107011. https://doi.org/10.1016/j.compbiomed.2023.107011 Cite

Zhang, J., Raya, J., Morfini, F., Urban, Z., Pagliaccio, D., Yendiki, A., Auerbach, R. P., Bauer, C. C. C., & Whitfield-Gabrieli, S. (2023). Reducing default mode network connectivity with mindfulness-based fMRI neurofeedback: a pilot study among adolescents with affective disorder history. Molecular Psychiatry, 28(6), 2540–2548. https://doi.org/10.1038/s41380-023-02032-z Cite

Zhao, Z., Duek, O., Seidemann, R., Gordon, C., Walsh, C., Romaker, E., Koller, W. N., Horvath, M., Awasthi, J., Wang, Y., O’Brien, E., Fichtenholtz, H., Hampson, M., & Harpaz-Rotem, I. (2023). Amygdala downregulation training using fMRI neurofeedback in post-traumatic stress disorder: a randomized, double-blind trial. Translational Psychiatry, 13(1), 177–183. https://doi.org/10.1038/s41398-023-02467-6 Cite

Izutsu, N., Yanagisawa, T., Fukuma, R., & Kishima, H. (2023). Magnetoencephalographic neurofeedback training decreasesβ-low-γphase-amplitude coupling of the motor cortex of healthy adults: a double-blinded randomized crossover feasibility study. Journal of Neural Engineering, 20(3). https://doi.org/10.1088/1741-2552/acd0d6 Cite

Springer, S. D., Erker, T. D., Schantell, M., Johnson, H. J., Willett, M. P., Okelberry, H. J., Rempe, M. P., & Wilson, T. W. (2023). Disturbances in primary visual processing as a function of healthy aging. NeuroImage, 271, 1–11. https://doi.org/10.1016/j.neuroimage.2023.120020 Cite

de Klerk, M. T., Smeets, P. a. M., & la Fleur, S. E. (2023). Inhibitory control as a potential treatment target for obesity. Nutritional Neuroscience, 26(5), 429–444. https://doi.org/10.1080/1028415X.2022.2053406 Cite

Czachowski, S. (2023). Functional disorders - new proposals for definition, psychosomatics, somatization. Psychiatria Polska, 57(2), 421–430. https://doi.org/10.12740/PP/OnlineFirst/141960 Cite

Huang, W., Wu, W., Lucas, M. V., Huang, H., Wen, Z., & Li, Y. (2023). Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation. IEEE Transactions on Affective Computing, 14(2), 998–1011. https://doi.org/10.1109/TAFFC.2021.3134183 Cite

Cherry, J., Kamel, S., Elfil, M., Aravala, S. S., Bayoumi, A., Patel, A., Sinha, R., & Tinaz, S. (2023). Mental imagery content is associated with disease severity and specific brain functional connectivity changes in patients with Parkinson’s disease. Brain Imaging and Behavior, 17(2), 161–171. https://doi.org/10.1007/s11682-022-00749-z Cite

Tomoto, T., Verma, A., Kostroske, K., Tarumi, T., Patel, N. R., Pasha, E. P., Riley, J., Tinajero, C. D., Hynan, L. S., Rodrigue, K. M., Kennedy, K. M., Park, D. C., & Zhang, R. (2023). One-year aerobic exercise increases cerebral blood flow in cognitively normal older adults. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism, 43(3), 404–418. https://doi.org/10.1177/0271678X221133861 Cite

Kolken, Y., Bouny, P., & Arns, M. (2023). Effects of SMR Neurofeedback on Cognitive Functions in an Adult Population with Sleep Problems: A Tele-neurofeedback Study. Applied Psychophysiology and Biofeedback, 48(1), 27–33. https://doi.org/10.1007/s10484-022-09560-4 Cite

Adhia, D. B., Mani, R., Mathew, J., O’Leary, F., Smith, M., Vanneste, S., & De Ridder, D. (2023). Exploring electroencephalographic infraslow neurofeedback treatment for chronic low back pain: a double-blinded safety and feasibility randomized placebo-controlled trial. Scientific Reports, 13(1), 1177. https://doi.org/10.1038/s41598-023-28344-2 Cite

Vieira, M. de A., Oliveira-Souza, A. I. S. de, Hahn, G., Bähr, L., Armijo-Olivo, S., & Ferreira, A. P. de L. (2023). Effectiveness of Biofeedback in Individuals with Awake Bruxism Compared to Other Types of Treatment: A Systematic Review. International Journal of Environmental Research and Public Health, 20(2), 1558–1574. https://doi.org/10.3390/ijerph20021558 Cite

Klöbl, M., Prillinger, K., Diehm, R., Doganay, K., Lanzenberger, R., Poustka, L., Plener, P., & Konicar, L. (2023). Individual brain regulation as learned via neurofeedback is related to affective changes in adolescents with autism spectrum disorder. Child and Adolescent Psychiatry and Mental Health, 17(1), 6–20. https://doi.org/10.1186/s13034-022-00549-9 Cite

Voetterl, H., van Wingen, G., Michelini, G., Griffiths, K. R., Gordon, E., DeBeus, R., Korgaonkar, M. S., Loo, S. K., Palmer, D., Breteler, R., Denys, D., Arnold, L. E., du Jour, P., van Ruth, R., Jansen, J., van Dijk, H., & Arns, M. (2023). Brainmarker-I Differentially Predicts Remission to Various Attention-Deficit/Hyperactivity Disorder Treatments: A Discovery, Transfer, and Blinded Validation Study. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging, 8(1), 52–60. https://doi.org/10.1016/j.bpsc.2022.02.007 Cite

Takamura, M., Okada, G., Kamishikiryo, T., Itai, E., Kato, M., Motegi, T., Taylor, J. E., Yoshioka, T., Kawato, M., & Okamoto, Y. (2023). Application of functional connectivity neurofeedback in patients with treatment-resistant depression: A preliminary report. Journal of Affective Disorders Reports, 14, 100644. https://doi.org/10.1016/j.jadr.2023.100644 Cite

Askovic, M., Soh, N., Elhindi, J., & Harris, A. W. F. (2023). Neurofeedback for post-traumatic stress disorder: systematic review and meta-analysis of clinical and neurophysiological outcomes. European Journal of Psychotraumatology, 14(2), 1–19. https://doi.org/10.1080/20008066.2023.2257435 Cite

Mosch, B., Hagena, V., Herpertz, S., Ruttorf, M., & Diers, M. (2023). Neural correlates of control over pain in fibromyalgia patients. NeuroImage. Clinical, 37, 1–10. https://doi.org/10.1016/j.nicl.2023.103355 Cite

Phang, C.-R., Chen, C.-H., Cheng, Y.-Y., Chen, Y.-J., & Ko, L.-W. (2023). Frontoparietal Dysconnection in Covert Bipedal Activity for Enhancing the Performance of the Motor Preparation-Based Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering: A Publication of the IEEE Engineering in Medicine and Biology Society, 31, 139–149. https://doi.org/10.1109/TNSRE.2022.3217298 Cite

Lin, M., Huang, J., Fu, J., Sun, Y., & Fang, Q. (2023). A VR-Based Motor Imagery Training System With EMG-Based Real-Time Feedback for Post-Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering: A Publication of the IEEE Engineering in Medicine and Biology Society, 31, 1–10. https://doi.org/10.1109/TNSRE.2022.3210258 Cite

Yaacob, H., Hossain, F., Shari, S., Khare, S. K., Ooi, C. P., & Acharya, U. R. (2023). Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022). IEEE Access, 11, 74736–74758. https://doi.org/10.1109/ACCESS.2023.3296382 Cite

Kerick, S. E., Asbee, J., Spangler, D. P., Brooks, J. B., Garcia, J. O., Parsons, T. D., Bannerjee, N., & Robucci, R. (2023). Neural and behavioral adaptations to frontal theta neurofeedback training: A proof of concept study. PloS One, 18(3), e0283418. https://doi.org/10.1371/journal.pone.0283418 Cite

Tsuchiyagaito, A., Misaki, M., Kirlic, N., Yu, X., Sánchez, S. M., Cochran, G., Stewart, J. L., Smith, R., Fitzgerald, K. D., Rohan, M. L., Paulus, M. P., & Guinjoan, S. M. (2023). Real-Time fMRI Functional Connectivity Neurofeedback Reducing Repetitive Negative Thinking in Depression: A Double-Blind, Randomized, Sham-Controlled Proof-of-Concept Trial. Psychotherapy and Psychosomatics, 92(2), 87–100. https://doi.org/10.1159/000528377 Cite

Roley-Roberts, M. E., Pan, X., Bergman, R., Tan, Y., Hendrix, K., deBeus, R., Kerson, C., Arns, M., Ging Jehli, N. R., Connor, S., Schrader, C., & Arnold, L. E. (2023). For Which Children with ADHD is TBR Neurofeedback Effective? Comorbidity as a Moderator. Applied Psychophysiology Biofeedback, 48(2), 179–188. https://doi.org/10.1007/s10484-022-09575-x Cite

Qiu, H., Liang, X., Wang, P., Zhang, H., & Shum, D. H. K. (2023). Efficacy of non-pharmacological interventions on executive functions in children and adolescents with ADHD: A systematic review and meta-analysis. Asian Journal of Psychiatry, 87. https://doi.org/10.1016/j.ajp.2023.103692 Cite

Selaskowski, B., Asché, L. M., Wiebe, A., Kannen, K., Aslan, B., Gerding, T. M., Sanchez, D., Ettinger, U., Kölle, M., Lux, S., Philipsen, A., & Braun, N. (2023). Gaze-based attention refocusing training in virtual reality for adult attention-deficit/hyperactivity disorder. BMC Psychiatry, 23(1). https://doi.org/10.1186/s12888-023-04551-z Cite

Neuhäußer, A. M., Bluschke, A., Roessner, V., & Beste, C. (2023). Distinct effects of different neurofeedback protocols on the neural mechanisms of response inhibition in ADHD. Clinical Neurophysiology, 153, 111–122. https://doi.org/10.1016/j.clinph.2023.06.014 Cite

Pindi, P., Houenou, J., Piguet, C., & Favre, P. (2022). Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: A meta-analysis. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 119, 110605. https://doi.org/10.1016/j.pnpbp.2022.110605 Cite

Pires, G., Cruz, A., Jesus, D., Yasemin, M., Nunes, U. J., Sousa, T., & Castelo-Branco, M. (2022). A new error-monitoring brain-computer interface based on reinforcement learning for people with autism spectrum disorders. Journal of Neural Engineering, 19(6), 1–6. https://doi.org/10.1088/1741-2552/aca798 Cite

Dave, F., & Tripathi, R. (2022). The efficacy of neurofeedback for alcohol use disorders - a systematic review. The World Journal of Biological Psychiatry : The Official Journal of the World Federation of Societies of Biological Psychiatry, 24(6), 496–507. https://doi.org/10.1080/15622975.2022.2151043 Cite

Smith, A. J., Bisby, J. A., Dercon, Q., Bevan, A., Dalgleish, T., Hitchcock, C., & Nord, C. (2022). 16 Aberrant emotional memory encoding in a transdiagnostic sample of patients with intrusive memories. Journal of Neurology, Neurosurgery & Psychiatry, 93(12), e3. https://doi.org/10.1136/jnnp-2022-BNPA.16 Cite

Lam, S.-L., Criaud, M., Lukito, S., Westwood, S. J., Agbedjro, D., Kowalczyk, O. S., Curran, S., Barret, N., Abbott, C., Liang, H., Simonoff, E., Barker, G. J., Giampietro, V., & Rubia, K. (2022). Double-Blind, Sham-Controlled Randomized Trial Testing the Efficacy of fMRI Neurofeedback on Clinical and Cognitive Measures in Children With ADHD. The American Journal of Psychiatry, 179(12), 947–958. https://doi.org/10.1176/appi.ajp.21100999 Cite

Wunderlin, M., Koenig, T., Zeller, C., Nissen, C., & Züst, M. A. (2022). Automatized online prediction of slow-wave peaks during non-rapid eye movement sleep in young and old individuals: Why we should not always rely on amplitude thresholds. Journal of Sleep Research, 31(6), 1–12. https://doi.org/10.1111/jsr.13584 Cite

Girges, C., Vijiaratnam, N., Zrinzo, L., Ekanayake, J., & Foltynie, T. (2022). Volitional Control of Brain Motor Activity and Its Therapeutic Potential. Neuromodulation: Journal of the International Neuromodulation Society, 25(8), 1187–1196. https://doi.org/10.1016/j.neurom.2022.01.007 Cite

Hazelton, C., Thomson, K., Todhunter-Brown, A., Campbell, P., Chung, C. S., Dorris, L., Gillespie, D. C., Hunter, S. M., McGill, K., Nicolson, D. J., Williams, L. J., & Brady, M. C. (2022). Interventions for perceptual disorders following stroke. The Cochrane Database of Systematic Reviews, 11(11), CD007039. https://doi.org/10.1002/14651858.CD007039.pub3 Cite

Vasaghi Gharamaleki, M., Mousavi, S. Z., Owrangi, M., Gholamzadeh, M. J., Kamali, A.-M., Dehghani, M., Chakrabarti, P., & Nami, M. (2022). Neural correlates in functional brain mapping among breast cancer survivors receiving different chemotherapy regimens: a qEEG/HEG-based investigation. Japanese Journal of Clinical Oncology, 52(11), 1253–1264. https://doi.org/10.1093/jjco/hyac121 Cite

Wang, H., Wang, X., & Yu, C. (2022). Effect of combination of botulinum toxin and electromyographic biofeedback therapy on post-stroke patients with lower limb muscle spasticity. Tropical Journal of Pharmaceutical Research, 21(9), 2001–2007. https://doi.org/10.4314/tjpr.v21i9.26 Cite