Measuring Meditation Progress with a Consumer-Grade EEG Device: Caution from a Randomized Controlled Trial
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Samples in previous studies of the Ten Percent Happier app were almost exclusively non-Latinx White.
“It is important to note that samples in these studies were almost exclusively non-Latinx White.”
From App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: Protocol for a Randomized Controlled Trial (2022) · cites this paper as [60]
The Ten Percent Happier app has been shown in previous studies to be an effective intervention to increase mindfulness and decrease anxiety and depressive symptoms.
“Among the many mindfulness apps available in the market, we chose this app because it has been shown to be an effective intervention to increase mindfulness and decrease anxiety and depressive symptoms in previous studies [60-62].”
From App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: Protocol for a Randomized Controlled Trial (2022) · cites this paper as [60]
Previous studies have shown that asking participants to share a screenshot of their app profile allows researchers to obtain accurate behavioral indicators of treatment adherence.
“Previous studies have shown that this methodology allows researchers to obtain accurate behavioral indicators of treatment adherence [60,77].”
From App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: Protocol for a Randomized Controlled Trial (2022) · cites this paper as [60]
Cites
The benefits of being present: Mindfulness and its role in psychological well-being
Brown, K. W., & Ryan, R. M. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.4.822 · Cited by 13,448 · see citing works
Using Self-Report Assessment Methods to Explore Facets of Mindfulness
Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006) · Assessment · doi:10.1177/1073191105283504 · Cited by 7,511 · cited 6× · see citing works
“…et al. 2014) is a self-report composite index of mindfulness that comprised ten questions from the Five Facet Mindfulness Questionnaire (FFMQ; Baer et al. 2006) and nine from Experiences Questionnaire (EQ; Fresco et al. 2007) that displayed the strongest response to mindfulness meditation…”
BackgroundInfluentialMindfulness: A proposed operational definition.
Bishop, S. R., Lau, M., Shapiro, S., Carlson, L., Anderson, N. D., Carmody, J., Segal, Z. V., Abbey, S., Speca, M., Velting, D., et al. (2004) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy.bph077 · Cited by 7,234 · see citing works
(1995) · Cited by 6,909 · see citing works
Henry, J. D., & Crawford, J. R. (2005) · British Journal of Clinical Psychology · doi:10.1348/014466505x29657 · Cited by 5,801 · see citing works
Stress, adaptation, and disease. Allostasis and allostatic load
McEWEN, B. S. (1998) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1998.tb09546.x · Cited by 5,092 · see citing works
The effect of mindfulness based therapy on anxiety and depression: A meta analytic review
Hofmann, S. G., Sawyer, A. T., Witt, A. A., & Oh, D. (2010) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0018555 · Cited by 3,846 · see citing works
Clinical Psychology: Science and Practice
(2021) · Clinical Psychology Science and Practice · doi:10.1111/(issn)1468-2850 · Cited by 3,683 · see citing works
Assessment of Mindfulness by Self-Report: The Kentucky Inventory of Mindfulness Skills
Baer, R. A., Smith, G. T., & Allen, K. B. (2004) · Assessment · doi:10.1177/1073191104268029 · Cited by 2,298 · see citing works
Mindfulness-based therapy: a comprehensive meta-analysis
Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., Chapleau, M.-A., Paquin, K., & Hofmann, S. G. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.05.005 · Cited by 2,003 · see citing works
The clinical use of mindfulness meditation for the self-regulation of chronic pain
Kabat-Zinn, J., Lipworth, L., & Burney, R. (1985) · Journal of Behavioral Medicine · doi:10.1007/bf00845519 · Cited by 1,745 · see citing works
Feldman, G., Hayes, A., Kumar, S., Greeson, J., & Laurenceau, J.-P. (2007) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-006-9035-8 · Cited by 1,630 · see citing works
Van Dam, N. T., van Vugt, M. K., Vago, D. R., Schmalzl, L., Saron, C. D., Olendzki, A., Meissner, T., Lazar, S. W., Kerr, C. E., Gorchov, J., et al. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617709589 · Cited by 1,506 · see citing works
The Toronto Mindfulness Scale: Development and validation
Lau, M. A., Bishop, S. R., Segal, Z. V., Buis, T., Anderson, N. D., Carlson, L., Shapiro, S., Carmody, J., Abbey, S., & Devins, G. (2006) · Journal of Clinical Psychology · doi:10.1002/jclp.20326 · Cited by 1,456 · see citing works
Ludwig, D. S. (2008) · JAMA · doi:10.1001/jama.300.11.1350 · Cited by 957 · see citing works
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery
Swan, M. (2013) · Big Data · doi:10.1089/big.2012.0002 · Cited by 931 · see citing works
Synthesizing standardized mean‐change measures
Becker, B. J. (1988) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1988.tb00901.x · Cited by 889 · see citing works
Enhancement and denial in socially desirable responding.
Paulhus, D. L., & Reid, D. B. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.60.2.307 · Cited by 824 · see citing works
Fresco, D. M., Moore, M. T., van Dulmen, M. H. M., Segal, Z. V., Ma, S. H., Teasdale, J. D., & Williams, J. M. G. (2007) · Behavior Therapy · doi:10.1016/j.beth.2006.08.003 · Cited by 810 · see citing works
Garland, E. L., Farb, N. A., R. Goldin, P., & Fredrickson, B. L. (2015) · Psychological Inquiry · doi:10.1080/1047840x.2015.1064294 · Cited by 810 · see citing works
A systematic review of neurobiological and clinical features of mindfulness meditations
Chiesa, A., & Serretti, A. (2010) · Psychological Medicine · doi:10.1017/s0033291709991747 · Cited by 749 · see citing works
Fox, K. C. R., Dixon, M. L., Nijeboer, S., Girn, M., Floman, J. L., Lifshitz, M., Ellamil, M., Sedlmeier, P., & Christoff, K. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.021 · Cited by 656 · see citing works
Gruzelier, J. H. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.09.015 · Cited by 596 · see citing works
Dispositional Mindfulness and Psychological Health: a Systematic Review
Tomlinson, E. R., Yousaf, O., Vittersø, A. D., & Jones, L. (2018) · Mindfulness · doi:10.1007/s12671-017-0762-6 · Cited by 560 · see citing works
Rosenzweig, S., Greeson, J. M., Reibel, D. K., Green, J. S., Jasser, S. A., & Beasley, D. (2010) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2009.03.010 · Cited by 517 · see citing works
The Assessment of Mindfulness with Self-Report Measures: Existing Scales and Open Issues
Bergomi, C., Tschacher, W., & Kupper, Z. (2013) · Mindfulness · doi:10.1007/s12671-012-0110-9 · Cited by 506 · see citing works
Kabat-Zinn, J. (2015) · Mindfulness · doi:10.1007/s12671-015-0456-x · Cited by 480 · see citing works
O. B. O. T. C.-S. G., Grant, S., Mayo-Wilson, E., Montgomery, P., Macdonald, G., Michie, S., Hopewell, S., & Moher, D. (2018) · Trials · doi:10.1186/s13063-018-2735-z · Cited by 348 · see citing works
Beta power in the EEG of alcoholics
Rangaswamy, M., Bernice Porjesz, A., Chorlian, D. B., Wang, K., Jones, K. A., Bauer, L. O., Rohrbaugh, J., O’Connor, S., Samuel Kuperman, C., Reich, T., et al. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01362-8 · Cited by 340 · see citing works
van der Zwan, J. E., de Vente, W., Huizink, A. C., Bögels, S. M., & de Bruin, E. I. (2015) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-015-9293-x · Cited by 338 · see citing works
Kral, T. R. A., Schuyler, B. S., Mumford, J. A., Rosenkranz, M. A., Lutz, A., & Davidson, R. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.013 · Cited by 326 · see citing works
Frontal alpha asymmetry as a diagnostic marker in depression: Fact or fiction? A meta-analysis
van der Vinne, N., Vollebregt, M. A., van Putten, M. J. A. M., & Arns, M. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.07.006 · Cited by 320 · see citing works
Yang, C.-C., Barrós-Loscertales, A., Pinazo, D., Ventura-Campos, N., Borchardt, V., Bustamante, J.-C., Rodríguez-Pujadas, A., Fuentes-Claramonte, P., Balaguer, R., Ávila, C., et al. (2016) · Neural Plasticity · doi:10.1155/2016/9504642 · Cited by 284 · see citing works
Assessment of mindfulness by self-report
Baer, R. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.10.015 · Cited by 216 · cited 1× · see citing works
“…meditation is not only to become “calm”; it is also possible to cultivate other desirable states (e.g., self-awareness, insight, compassion, wisdom), especially when considering why such practices were developed from a historical perspective (Baer 2018; Ludwig and Kabat-Zinn 2008; Kabat-Zinn 2015).”
BackgroundTaren, A. A., Gianaros, P. J., Greco, C. M., Lindsay, E. K., Fairgrieve, A., Brown, K. W., Rosen, R. K., Ferris, J. L., Julson, E., Marsland, A. L., et al. (2017) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000466 · Cited by 201 · see citing works
Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials
Ratti, E., Waninger, S., Berka, C., Ruffini, G., & Verma, A. K. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00398 · Cited by 195 · see citing works
Young, K. S., van der Velden, A. M., Craske, M. G., Pallesen, K. J., Fjorback, L., Roepstorff, A., & Parsons, C. E. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.08.003 · Cited by 185 · see citing works
Travis, F., Haaga, D. A. F., Hagelin, J. S., Tanner, M., Nidich, S. I., Gaylord‐King, C., Grosswald, S. J., Rainforth, M. V., & Schneider, R. H. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.09.007 · Cited by 175 · see citing works
Goldberg, S. B., Wielgosz, J., Dahl, C., Schuyler, B., MacCoon, D. S., Rosenkranz, M., Lutz, A., Sebranek, C. A., & Davidson, R. J. (2016) · Psychological Assessment · doi:10.1037/pas0000233 · Cited by 172 · see citing works
Quantitative change of EEG and respiration signals during mindfulness meditation
Ahani, A., Wahbeh, H., Nezamfar, H., Miller, M., Erdogmus, D., & Oken, B. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-87 · Cited by 159 · see citing works
Schönenberg, M., Wiedemann, E., Schneidt, A., Scheeff, J., Logemann, H. N. A., Keune, P. M., & Hautzinger, M. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30291-2 · Cited by 154 · see citing works
Relationship between meditative practice and self-reported mindfulness: the MINDSENS composite index
Soler, J., Cebolla, A., Feliu-Soler, A., Demarzo, M. M. P., Pascual, J. C., Baños, R., & García-Campayo, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086622 · Cited by 138 · see citing works
Characterizing Population EEG Dynamics throughout Adulthood
Hashemi, A., Pino, L., Moffat, G., Mathewson, K. J., Aimone, C., Bennett, P., Schmidt, L. A., & Sekuler, A. B. (2016) · eNeuro · doi:10.1523/eneuro.0275-16.2016 · Cited by 121 · see citing works
Demarzo, M., Montero-Marin, J., Puebla-Guedea, M., Navarro-Gil, M., Herrera-Mercadal, P., Moreno-González, S., Calvo-Carrión, S., Bafaluy-Franch, L., & Garcia-Campayo, J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01343 · Cited by 121 · see citing works
Bhayee, S., Tomaszewski, P., Lee, D. H., Moffat, G., Pino, L., Moreno, S., & Farb, N. A. S. (2016) · BMC Psychology · doi:10.1186/s40359-016-0168-6 · Cited by 118 · see citing works
Schreiner, I., & Malcolm, J. P. (2008) · Behaviour Change · doi:10.1375/bech.25.3.156 · Cited by 98 · see citing works
Meditation is associated with increased brain network integration
van Lutterveld, R., van Dellen, E., Pal, P., Yang, H., Stam, C. J., & Brewer, J. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.071 · Cited by 88 · see citing works
Weekes, N., Lewis, R., Patel, F., Garrison-Jakel, J., Berger, D. E., & Lupien, S. J. (2006) · Stress · doi:10.1080/10253890601029751 · Cited by 83 · see citing works
Mindfulness‐of‐breathing exercise modulates EEG alpha activity during cognitive performance
Bing‐Canar, H., Pizzuto, J., & Compton, R. J. (2016) · Psychophysiology · doi:10.1111/psyp.12678 · Cited by 83 · see citing works
Bueno, V. F., Kozasa, E. H., da Silva, M. A., Alves, T. M., Louzã, M. R., & Pompéia, S. (2015) · BioMed Research International · doi:10.1155/2015/962857 · Cited by 79 · see citing works
Cardiovascular and nervous system changes during meditation
Steinhubl, S. R., Wineinger, N. E., Patel, S., Boeldt, D. L., Mackellar, G., Porter, V., Redmond, J. T., Muse, E. D., Nicholson, L. J., Chopra, D., et al. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00145 · Cited by 76 · see citing works
Wexler, A., & Thibault, R. T. (2018) · Journal of Cognitive Enhancement · doi:10.1007/s41465-018-0091-2 · Cited by 76 · see citing works
Yetisen, A. K. (2018) · Trends in biotechnology · doi:10.1016/j.tibtech.2018.02.011 · Cited by 64 · see citing works
Yamada, K., & Victor, T. L. (2012) · Psychology Learning & Teaching · doi:10.2304/plat.2012.11.2.139 · Cited by 59 · see citing works
Kober, S. E., Witte, M., Ninaus, M., Koschutnig, K., Wiesen, D., Zaiser, G., Neuper, C., & Wood, G. M. D. O. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00271 · Cited by 50 · see citing works
Brainscams: Neuromythologies of the New Age
Beyerstein, B. L. (1990) · International Journal of Mental Health · doi:10.1080/00207411.1990.11449169 · Cited by 28 · see citing works
Gray, S. (2017) · Medical Acupuncture · doi:10.1089/acu.2017.1220 · Cited by 28 · see citing works
Svetlov, A. S., Nelson, M. M., Antonenko, P., McNamara, J. P. H., & Bussing, R. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e01351 · Cited by 27 · see citing works
Johnson, B. T., & Huedo-Medina, T. B. (2013) · Europe PMC (PubMed Central) · Cited by 20 · see citing works
Self-citationMyint, K., Kl, C., Su, T. T., & Lam, S. (2011) · The University of Malaya Research Repository (University of Malaya) · Cited by 18 · see citing works
Garland, E. L., Farb, N. A. S., Goldin, P. R., & Fredrickson, B. L. (2017) · doi:10.31231/osf.io/ea2q4 · Cited by 10 · see citing works
Hands-on Undergraduate Experiences Using Low-Cost Electroencephalography (EEG) Devices.
Segawa, J. A. (2019) · PubMed · Cited by 9 · see citing works
What’s wrong with “the mindful brain”? Moving past a neurocentric view of meditation
Lifshitz, M., & Thompson, E. T. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816179-1.00021-9 · Cited by 6 · see citing works
Flagged first, then by citations
1 of the 64 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Mitsea, E., Drigas, A. S., & Skianis, C. A. (2023) · Behavioral Sciences · doi:10.3390/bs13121008 · Cited by 102 · see citing works
Browarska, N., Kawala‐Sterniuk, A., Zygarlicki, J., Podpora, M., Pelc, M., Martínek, R., & Gorzelańczyk, E. J. (2021) · Brain Sciences · doi:10.3390/brainsci11010098 · Cited by 36 · see citing works
Factors Influencing Engagement in Hybrid Virtual and Augmented Reality
Li, Y., Ch’ng, E., & Cobb, S. V. G. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3589952 · Cited by 34 · see citing works
Real-Time Attention Regulation and Cognitive Monitoring Using a Wearable EEG-Based BCI
Huang, H., Chen, J., Xiao, J., Chen, D., Zhang, J., Pan, J., & Li, Y. (2024) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2024.3468351 · Cited by 23 · see citing works
Vekety, B., Logemann, H. N. A., & Takács, Z. K. (2022) · Brain Sciences · doi:10.3390/brainsci12010103 · Cited by 23 · see citing works
Single-lead ECG based autonomic nervous system assessment for meditation monitoring
Park, C., Youn, I., & Han, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-27121-x · Cited by 20 · see citing works
Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact
Hennessy, E. A., Acabchuk, R. L., Arnold, P. A., Dunn, A. G., Foo, Y. Z., Johnson, B. T., Geange, S. R., Haddaway, N., Nakagawa, S., Mapanga, W., et al. (2021) · Prevention Science · doi:10.1007/s11121-021-01279-8 · Cited by 18 · see citing works
Self-citationSimonetti, I., Tamborra, L., Giorgi, A., Ronca, V., Vozzi, A., Aricò, P., Borghini, G., Sciaraffa, N., Trettel, A., Babiloni, F., et al. (2023) · Brain Sciences · doi:10.3390/brainsci13010095 · Cited by 16 · see citing works
Baumann, M., Weinberger, N., Maia, M., & Schmid, K. (2023) · Digital Health · doi:10.1177/20552076231163996 · Cited by 15 · see citing works
Comparison of EEG Signal Spectral Characteristics Obtained with Consumer- and Research-Grade Devices
Mikhaylov, D., Saeed, M., Alhosani, M. H., & Wahedi, Y. F. A. (2024) · Sensors · doi:10.3390/s24248108 · Cited by 15 · see citing works
Ramos, G., Aguilera, A., Montoya, A., Lau, A., Wen, C. Y., Cruz Torres, V., & Chavira, D. (2022) · JMIR Research Protocols · doi:10.2196/35196 · Cited by 12 · see citing works
“Among the many mindfulness apps available in the market, we chose this app because it has been shown to be an effective intervention to increase mindfulness and decrease anxiety and depressive symptoms in previous studies [60-62].”
BackgroundConsumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis
Treves, I. N., Bajwa, Z., Greene, K. D., Bloom, P. A., Kim, N., Wool, E., Goldberg, S. B., Whitfield, S., & Auerbach, R. P. (2025) · Journal of Medical Internet Research · doi:10.2196/68204 · Cited by 12 · see citing works
Khan, S., Noorani, S. H., Frnda, J., Rauf, U., Arsalan, A., & Saeed, S. M. U. (2025) · IEEE Access · doi:10.1109/access.2025.3571437 · Cited by 12 · see citing works
Mitsea, E., Drigas, A. S., & Skianis, C. A. (2023) · Research Society and Development · doi:10.33448/rsd-v12i3.40247 · Cited by 12 · see citing works
A scoping review of BCIs for learning regulation in mainstream educational contexts
Xia, Q., Chiu, T. K. F., & Li, X. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2241559 · Cited by 10 · see citing works
Chen, P., Kirk, U., & Dikker, S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.915345 · Cited by 12 · see citing works
Lazarou, I., Oikonomou, V. P., Mpaltadoros, L., Grammatikopoulou, M., Alepopoulos, V., Stavropoulos, T. G., Bezerianos, A., Nikolopoulos, S., Kompatsiaris, I. Y., & Tsolaki, M. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1167410 · Cited by 13 · see citing works
Automatic control of reactive brain computer interfaces
Tufvesson, P., & Heskebeck, F. (2024) · IFAC Journal of Systems and Control · doi:10.1016/j.ifacsc.2024.100251 · Cited by 5 · see citing works
Trait mindfulness predicts inter-brain coupling during naturalistic face-to-face interactionsPreprint
Chen, P., Kirk, U., & Dikker, S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.28.448432 · Cited by 5 · see citing works
Bulaj, G. W., Coleman, M., Johansen, B., Kraft, S., Lam, W., Phillips, K., & Rohaj, A. (2024) · Pharmacy · doi:10.3390/pharmacy12040107 · Cited by 4 · see citing works
Ojell-Järventausta, T., Belousov, A., Bujić, M., Macey, J., & Hamari, J. (2024) · International Academic Mindtrek Conference (Mindtrek) · doi:10.1145/3681716.3681742 · Cited by 4 · see citing works
The Synergy Between Spirituality and AI: A Survey
Garg, M. (2024) · Signals and communication technology · doi:10.1007/978-3-031-73719-0_9 · Cited by 4 · see citing works
Which type of feedback—Positive or negative- reinforces decision recall? An EEG study
Balconi, M., Angioletti, L., & Allegretta, R. A. (2025) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2024.1524475 · Cited by 4 · see citing works
Levinton, T., Gelech, J. M., Golshan, F., & Mickleborough, M. (2025) · JMIR Neurotechnology · doi:10.2196/68369 · Cited by 3 · see citing works
A Multifractal Detrended Fluctuation Analysis of EEG Signals Based on Meditation and Attention Tasks
Wang, X. (2025) · International Conference on Big Data, Communication Technology and Computer Applications (BDCTA) · doi:10.1145/3727505.3727517 · Cited by 2 · see citing works
Self-reflection, sense of agency, and underlying neural correlates: A pilot study
Gupta, K. V., Beuria, J., Vijanapalli, L. K., Sethi, A., & Behera, L. (2025) · PLoS ONE · doi:10.1371/journal.pone.0335276 · Cited by 2 · see citing works
Media Neuroscience on a Shoestring 2.0
Peña, J. F., Huskey, R., Gong, X., Andrews, M. W., Weisman, W., Kee, R., Klein, V., Sarieva, S., Ronggui, K. A. N. G., Schmälzle, R., et al. (2025) · Journal of Media Psychology Theories Methods and Applications · doi:10.1027/1864-1105/a000462 · Cited by 2 · see citing works
Zheng, Y., Zhou, J., Gu, X., Zhou, L., Li, R., Li, X., & Zeng, X. (2025) · Mindfulness · doi:10.1007/s12671-025-02653-1 · Cited by 1 · see citing works
Tegon, A., Lehmann, N., Li, Y., Cossettini, A., Benini, L., & Ingolfsson, T. (2026) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2026.3683482 · Cited by 2 · see citing works
A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting
Zhu, J., Bao, X., Huang, Q., Wang, T., Huang, L., Han, Y., Huang, H., Qu, J., Qu, J., Li, K., et al. (2026) · Advanced Science · doi:10.1002/advs.202513040 · Cited by 2 · see citing works
Feature Representation for Meditation State Classification in EEG Signal
Huang, M., Ye, L., Chen, J., Fu, R., & Zhou, C. (2021) · International Conference on Information Technology in Medicine and Education · doi:10.1109/itme53901.2021.00062 · Cited by 1 · see citing works
Dobrosovestnova, A., Coeckelbergh, M., & Jahrmann, M. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-90328-2_38
Towards a New Understanding of Embodiment: Alternative Models to the Western Mind-Body Relationship
Lumbreras, S. (2022) · Issues in science and religion: publications of the European Society for the Study of Science and Theology · doi:10.1007/978-3-031-06277-3_19
Tayade, A. A., Khobragade, R. N., & Datar, D. (2023) · International Conference on Information Systems and Computer Networks (ISCON) · doi:10.1109/iscon57294.2023.10112067
Trends in Neurofeedback-based Meditation Content
Choi, M., Bae, J.-H., & Kim, J. U. (2023) · Journal of Digital Contents Society · doi:10.9728/dcs.2023.24.11.2799
Vergara, R. C., Khoury, B., & Langer, A. I. (2025) · Mindfulness · doi:10.1007/s12671-025-02532-9
Seasickness Alleviation based on a Mindfulness Brain-Computer Interface
Bao, X., Xu, K., Zhu, J., Huang, H., Li, K., Huang, Q., & Li, Y. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11254567
Alleviating Seasickness Through Brain–Computer Interface-Based Attention Shift
Bao, X., Xu, K., Zhu, J., Huang, H., Huang, Q., & Li, Y. (2026) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2026.3653362 · Cited by 1 · see citing works
Cognitive and physiological effects of Zentangle practice: Insights from EEG and ECG
Chun-Ling, L., Ting-Chien, C., Chao-Shun, Y., Jung, T., Yao-Tien, C., & Usman, M. (2026) · Current Psychology · doi:10.1007/s12144-026-09128-z
Wong, M. Y. C., Saarikallio, S. H., Danso, A., & Koehler, F. (2026) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-026-09783-9
Jahani, S., Haberlin, S., Carter, W., & Bradshaw, T. (2026) · Journal of American College Health · doi:10.1080/07448481.2026.2667451
Ramos, G., Montoya, A. K., Aguilera, A., Lau, A. S., Enders, C. K., Wen, C. Y., & Chavira, D. A. (2026) · Journal of Medical Internet Research · doi:10.2196/84328
Mapping Protocols and Evidence on Combined EEG Neurofeedback and Meditation: A Systematic Review
Aristizabal, J.-P., Dayrell, V. D. M., Pedra, A. C., Cunha, L. S. M., Lapenta, O. M., & de Souza, W. C. (2026) · NeuroRegulation · doi:10.15540/nr.13.2.154
Ma, Y., Sin, W. W. F., Kraemer, K. M., Kwok, J. Y. Y., Yang, E., Kim, K., Randolph, M., Horan, H., Mullington, J. M., Wayne, P. M., et al. (2026) · Global Advances in Integrative Medicine and Health · doi:10.1177/27536130261478126
- Authors
- Acabchuk, R. L., Simon, M. A., Low, S., Brisson, J. M., & Johnson, B. T.
- Affiliations
- University of Connecticut (US)
- Corresponding author
- Acabchuk, Rebecca L.
- Venue
- Mindfulness
- Published
- 2020-10-08
- Volume
- 12
- Issue
- 1
- Pages
- 68-81
- ISSN
- 1868-8527 (ISSN-L)
- 1868-8535
- OpenAlex
- W3091775472
- Cited by
- 44
- References
- 64
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 6 · 2023: 9 · 2022: 5 · 2021: 5
- FWCI
- 1.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mindfulness (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- meditation, meditation apps, novice meditators, mental health, distress, device satisfaction, young adults
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