Quantitative change of EEG and respiration signals during mindfulness meditation
Open accessAbstract
BACKGROUND: This study investigates measures of mindfulness meditation (MM) as a mental practice, in which a resting but alert state of mind is maintained. A population of older people with high stress level participated in this study, while electroencephalographic (EEG) and respiration signals were recorded during a MM intervention. The physiological signals during meditation and control conditions were analyzed with signal processing. METHODS: EEG and respiration data were collected and analyzed on 34 novice meditators after a 6-week meditation intervention. Collected data were analyzed with spectral analysis, phase analysis and classification to evaluate an objective marker for meditation. RESULTS: Different frequency bands showed differences in meditation and control conditions. Furthermore, we established a classifier using EEG and respiration signals with a higher accuracy (85%) at discriminating between meditation and control conditions than a classifier using the EEG signal only (78%). CONCLUSION: Support vector machine (SVM) classifier with EEG and respiration feature vector is a viable objective marker for meditation ability. This classifier should be able to quantify different levels of meditation depth and meditation experience in future studies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
During MBSR components, explicit instruction to slow one's breath is not given, but breath slows during the practice.
“During these components, explicit instruction to slow ones breath is not given, however, it has been reported in multiple investigations that breath slows during the practice (Ditto et al., 2006; Ahani et al., 2014).”
From Maladaptive autonomic regulation in PTSD accelerates physiological aging (2015) · cites this paper as Ahani et al., 2014
The rate of breathing commonly slows down automatically during mindfulness meditation.
“Although mindfulness instructions do not involve purposefully slowing the breath, the rate of breathing commonly slows down automatically during mindfulness meditation (Ahani et al., 2014).”
From Being able to think when caught in the maelstrom - how adolescents used mindfulness when facing exams. (2024) · cites this paper as Ahani et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421 · see citing works
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918 · see citing works
A Global Measure of Perceived Stress
Cohen, S., Kamarck, T., & Mermelstein, R. (1983) · Journal of Health and Social Behavior · doi:10.2307/2136404 · Cited by 32,807 · see citing works
An Analysis of Transformations
Box, G. E. P., & Cox, D. R. (1964) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1964.tb00553.x · Cited by 15,059 · see citing works
Libsvm : A library for support vector machines
Ferrari, V. (2008) · Medical Entomology and Zoology · Cited by 10,124 · see citing works
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986 · see citing works
(2008) · Medical Entomology and Zoology · Cited by 7,477 · see citing works
On the use of windows for harmonic analysis with the discrete Fourier transform
Harris, F. J. (1978) · Proceedings of the IEEE · doi:10.1109/proc.1978.10837 · Cited by 7,326 · see citing works
Digital Signal Processing: Principles, Algorithms, and Applications
Proakis, J. G., & Manolakis, D. G. (1992) · Cited by 4,601 · see citing works
Kabat-Zinn, J. (1982) · General Hospital Psychiatry · doi:10.1016/0163-8343(82)90026-3 · Cited by 4,255 · see citing works
Mindfulness-based stress reduction and health benefits
Grossman, P., Niemann, L., Schmidt, S., & Walach, H. (2004) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(03)00573-7 · Cited by 3,958 · see citing works
(2001) · Cited by 3,666 · see citing works
Localization of the complex spectrum: the S transform
Stockwell, R. G., Mansinha, L., & Lowe, R. P. (1996) · IEEE Transactions on Signal Processing · doi:10.1109/78.492555 · Cited by 3,495 · see citing works
Complementary and Alternative Medicine Use Among Adults and Children: United States, 2007
Barnes, P. M., Bloom, B. E., & Nahin, R. L. (2008) · PsycEXTRA Dataset · doi:10.1037/e623942009-001 · Cited by 3,131 · see citing works
Benson, H., Beary, J. F., & Carol, M. P. (1974) · Psychiatry · doi:10.1080/00332747.1974.11023785 · Cited by 2,467 · see citing works
Meditation states and traits: EEG, ERP, and neuroimaging studies.
Cahn, B. R., & Polich, J. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.2.180 · Cited by 1,734 · see citing works
Chiesa, A., & Serretti, A. (2009) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2008.0495 · Cited by 1,681 · cited 1× · see citing works
“The slowed respiration rate also provides a mechanism by which meditation reduces stress in healthy adults and multiple chronically ill populations [46,47].”
BackgroundThe 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
Mindfulness-based stress reduction and health benefits: A meta-analysis
Grossman, P., Niemann, L., Schmidt, S., & Walach, H. (2003) · Focus on Alternative and Complementary Therapies · doi:10.1111/j.2042-7166.2003.tb04008.x · Cited by 1,394 · see citing works
Long-term meditators self-induce high-amplitude gamma synchrony during mental practice
Lutz, A., Greischar, L. L., Rawlings, N. B., Ricard, M., & Davidson, R. J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407401101 · Cited by 1,328 · see citing works
Speca, M., Carlson, L. E., Goodey, E., & Angen, M. (2000) · Psychosomatic Medicine · doi:10.1097/00006842-200009000-00004 · Cited by 1,082 · see citing works
Neural correlates of attentional expertise in long-term meditation practitioners
Brefczynski-Lewis, J. A., Lutz, A., Schaefer, H. S., Levinson, D. B., & Davidson, R. J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606552104 · Cited by 983 · 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
Functional brain mapping of the relaxation response and meditation
Lazar, S. W., Bush, G., Gollub, R. L., Fricchione, G. L., Khalsa, G., & Benson, H. (2000) · NeuroReport · doi:10.1097/00001756-200005150-00042 · Cited by 717 · see citing works
Jerath, R., Edry, J. W., Barnes, V. A., & Jerath, V. (2006) · Medical Hypotheses · doi:10.1016/j.mehy.2006.02.042 · Cited by 574 · see citing works
Whitham, E. M., Pope, K. J., Fitzgibbon, S. P., Lewis, T., Clark, C. R., Loveless, S., Broberg, M., Wallace, A., DeLosAngeles, D., Lillie, P., et al. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.027 · Cited by 524 · cited 2× · see citing works
“It has been shown that EMG activity contributes to gamma bands recorded from scalp electrodes, therefore we have excluded gamma activity in our processing [30].”
BackgroundMinding one’s emotions: Mindfulness training alters the neural expression of sadness.
Farb, N. A. S., Anderson, A. K., Mayberg, H., Bean, J., McKeon, D., & Segal, Z. V. (2010) · Emotion · doi:10.1037/a0017151 · Cited by 521 · see citing works
Meditation practices for health: state of the research.
(2007) · PubMed Central · Cited by 516 · see citing works
Nunez, P. L., Wingeier, B., & Silberstein, R. B. (2001) · Human Brain Mapping · doi:10.1002/hbm.1030 · Cited by 504 · see citing works
Kabat-Zinn, J., Lipworth, L., Burncy, R., & Sellers, W. (1986) · The Clinical Journal of Pain · doi:10.1097/00002508-198602030-00004 · Cited by 483 · see citing works
Short-term autonomic and cardiovascular effects of mindfulness body scan meditation
Ditto, B., Eclache, M., & Goldman, N. (2006) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3203_9 · Cited by 355 · see citing works
Increased Theta and Alpha EEG Activity During Nondirective Meditation
Lagopoulos, J., Xu, J., Rasmussen, I., Vik, A., Malhi, G. S., Eliassen, C. F., Arntsen, I. E., Sæther, J. G., Hollup, S., Holen, A., et al. (2009) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2009.0113 · Cited by 354 · see citing works
Mindfulness-based cognitive therapy for depression: A new approach for preventing relapse
Barnhofer, T. (2002) · Zeitschrift für Klinische Psychologie und Psychotherapie · doi:10.1026//1616-3443.31.4.298 · Cited by 338 · see citing works
Mind–body interventions: Applications in neurology
Wahbeh, H., Elsas, S.-M., & Oken, B. S. (2008) · Neurology · doi:10.1212/01.wnl.0000314667.16386.5e · Cited by 316 · see citing works
Self-citationOccipital gamma activation during Vipassana meditation
Cahn, B. R., Delorme, A., & Polich, J. (2010) · Cognitive Processing · doi:10.1007/s10339-009-0352-1 · Cited by 300 · see citing works
STUDYING SINGLE-TRIALS OF PHASE SYNCHRONOUS ACTIVITY IN THE BRAIN
Lachaux, J.-P., Rodríguez, E., Quyen, M. L. V., Antoine Lutz, A., Martinerie, J. M., & Varela, F. J. (2000) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127400001560 · Cited by 293 · see citing works
Concentration and Mindfulness Meditations: Unique Forms of Consciousness?
Dunn, B. R., Hartigan, J. A., & Mikulas, W. L. (1999) · Applied Psychophysiology and Biofeedback · doi:10.1023/a:1023498629385 · Cited by 224 · see citing works
Theta activity and meditative states: spectral changes during concentrative meditation
Baijal, S., & Srinivasan, N. (2010) · Cognitive Processing · doi:10.1007/s10339-009-0272-0 · Cited by 187 · see citing works
Travis, F., Haaga, D. A. F., Hagelin, J., Tanner, M., Arenander, A., Nidich, S., Gaylord-King, C., Grosswald, S., Rainforth, M., & Schneider, R. H. (2010) · Cognitive Processing · doi:10.1007/s10339-009-0343-2 · Cited by 157 · see citing works
Unipolar brush cells in marmoset cerebellum and cochlear nuclei express calbindin
Spatz, W. B. (2000) · Neuroreport · doi:10.1097/00001756-200001170-00001 · Cited by 114 · see citing works
Travis, F. T., & Arenander, A. (2006) · International Journal of Neuroscience · doi:10.1080/00207450600575482 · Cited by 111 · see citing works
Hebert, R., Lehmann, D., Tan, G., Travis, F., & Arenander, A. (2005) · Signal Processing · doi:10.1016/j.sigpro.2005.07.009 · Cited by 82 · see citing works
Huang, H., & Lo, P. M. E. (2009) · Journal of Medical Engineering & Technology · doi:10.1080/03091900802602677 · Cited by 77 · see citing works
Chan, A. S., Han, Y. M. Y., & Cheung, M.-C. (2008) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-008-9050-5 · Cited by 76 · see citing works
Kabat‐Zinn, J., Lipworth, L., Burney, R., Sellers, W., & Brew, M. (1984) · Pain · doi:10.1016/0304-3959(84)90584-0 · Cited by 71 · see citing works
One-on-One Mindfulness Meditation Trainings in a Research Setting
Wahbeh, H., Lane, J. B., Goodrich, E., Miller, M., & Oken, B. (2012) · Mindfulness · doi:10.1007/s12671-012-0155-9 · Cited by 46 · see citing works
Self-citationEffect of transcendental meditation on breathing and respiratory control
Wolkove, N., Kreisman, H., Darragh, D., Cohen, C., & Frank, H. (1984) · Journal of Applied Physiology · doi:10.1152/jappl.1984.56.3.607 · Cited by 36 · see citing works
P01.03. A machine classification measure of meditation ability
McCollough, A. W., Hild, K. E., Wabeh, H., & Oken, B. (2012) · BMC Complementary and Alternative Medicine · doi:10.1186/1472-6882-12-s1-p3 · Cited by 5 · see citing works
Self-citationHigh-resolution intersubject averaging and a coordinate system for the cortical surface
Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4
Flagged first, then by citations
2 of the 51 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
A systematic review of the neurophysiology of mindfulness on EEG oscillations
Lomas, T., Ivtzan, I., & Fu, C. H. Y. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.018 · Cited by 506 · see citing works
A Review on Machine Learning for EEG Signal Processing in Bioengineering
Hosseini, M.-P., Hosseini, A., & Ahi, K. (2020) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.2969915 · Cited by 471 · see citing works
Basso, J. C., McHale, A., Ende, V., Oberlin, D. J., & Suzuki, W. A. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.08.023 · Cited by 255 · see citing works
The neuroscience of meditation: classification, phenomenology, correlates, and mechanisms
Brandmeyer, T., Arnaud Delorme, A., & Wahbeh, H. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2018.10.020 · Cited by 149 · see citing works
Self-citationMaladaptive autonomic regulation in PTSD accelerates physiological aging
Williamson, J. B., Porges, E. C., Lamb, D. G., & Porges, S. W. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01571 · Cited by 116 · see citing works
“During these components, explicit instruction to slow ones breath is not given, however, it has been reported in multiple investigations that breath slows during the practice (Ditto et al., 2006; Ahani et al., 2014).”
BackgroundKirk, U., & Axelsen, J. L. (2020) · PLOS ONE · doi:10.1371/journal.pone.0243488 · Cited by 108 · see citing works
Kora, P., Meenakshi, K., Swaraja, K., Rajani, A., & Raju, M. S. (2021) · Complementary Therapies in Clinical Practice · doi:10.1016/j.ctcp.2021.101329 · Cited by 105 · see citing works
Mechanistic pathways of mindfulness meditation in combat veterans with posttraumatic stress disorder
Wahbeh, H., Goodrich, E., Goy, E., & Oken, B. (2016) · Journal of Clinical Psychology · doi:10.1002/jclp.22255 · Cited by 97 · see citing works
Self-citationEvent-related potential correlates of mindfulness meditation competence
Atchley, R., Klee, D., Memmott, T., Goodrich, E., Wahbeh, H., & Oken, B. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.01.051 · Cited by 86 · see citing works
Self-citationEEG Derived Neuronal Dynamics during Meditation: Progress and Challenges
Kaur, C., & Singh, P. B. (2015) · Advances in Preventive Medicine · doi:10.1155/2015/614723 · Cited by 80 · see citing works
A review on research and evaluation methods for investigating self-transcendence
Kitson, A., Chirico, A., Gaggioli, A., & Riecke, B. E. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.547687 · Cited by 76 · see citing works
A Critical Analysis on Characterizing the Meditation Experience Through the Electroencephalogram
Deolindo, C. S., Ribeiro, M. W., Aratanha, M. A., Afonso, R. F., Irrmischer, M., & Kozasa, E. H. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00053 · Cited by 79 · see citing works
Electroencephalographic correlates of states of concentrative meditation
DeLosAngeles, D., Williams, G. J., Burston, J., Fitzgibbon, S. P., Lewis, T. W., Grummett, T. S., Clark, C. R., Pope, K. J., & Willoughby, J. O. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.09.020 · Cited by 68 · see citing works
Lardone, A., Liparoti, M., Sorrentino, P., Rucco, R., Jacini, F., Polverino, A., Minino, R., Pesoli, M., Baselice, F., Sorriso, A., et al. (2018) · Neural Plasticity · doi:10.1155/2018/5340717 · Cited by 67 · see citing works
Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals
Roy, B., Malviya, L., Kumar, R., Mal, S., Kumar, A., Bhowmik, T., & Hu, J. W. (2023) · Diagnostics · doi:10.3390/diagnostics13111936 · Cited by 69 · see citing works
Entrainment of chaotic activities in brain and heart during MBSR mindfulness training
Gao, J., Fan, J., Wu, B. W. Y., Zhang, Z., Chang, C., Hung, Y.-S., Fung, P. C. W., & Sik, H. H. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.01.001 · Cited by 65 · see citing works
Defining Transformative Experiences: A Conceptual Analysis
Chirico, A., Pizzolante, M., Kitson, A., Gianotti, E., Riecke, B. E., & Gaggioli, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.790300 · Cited by 70 · see citing works
Tian, H., Bi, C., Xing, G., Chan, R. R., & Tu, L. (2017) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3130922 · Cited by 63 · see citing works
Westenberg, R. F., Zale, E. L., Heinhuis, T. J., Özkan, S., Nazzal, A., Lee, S.-G., Chen, N. C., & Vranceanu, A.-M. (2018) · Clinical Orthopaedics & Related Research · doi:10.1007/s11999.0000000000000086 · Cited by 52 · see citing works
Immediate impact of yogic breathing on pulsatile cerebrospinal fluid dynamics
Yildiz, S., Grinstead, J. W., Hildebrand, A. D., Oshinski, J. N., Rooney, W. D., Lim, M. M., & Oken, B. (2022) · Scientific Reports · doi:10.1038/s41598-022-15034-8 · Cited by 43 · see citing works
Self-citationEEG-Based Anxious States Classification Using Affective BCI-Based Closed Neurofeedback System
Chen, C., Yu, X., Belkacem, A. N., Lu, L., Li, P., Zhang, Z., Wang, X., Tan, W., Gao, Q., Shin, D., et al. (2021) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-020-00596-7 · Cited by 48 · see citing works
Acabchuk, R. L., Simon, M. A., Low, S., Brisson, J. M., & Johnson, B. T. (2021) · Mindfulness · doi:10.1007/s12671-020-01497-1 · Cited by 44 · see citing works
Statistical features extraction for multivariate pattern analysis in meditation EEG using PCA
Shaw, L., & Routray, A. (2016) · IEEE EMBS International Student Conference · doi:10.1109/embsisc.2016.7508624 · Cited by 38 · see citing works
Eid, C. M., Hamilton, C., & Greer, J. M. H. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262668 · Cited by 41 · see citing works
Gamaiunova, L., Kreibig, S. D., Dan-Glauser, E., Pellerin, N., Brandt, P.-Y., & Kliegel, M. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2022.108384 · Cited by 37 · see citing works
EEG Frequency Changes Prior to Making Errors in an Easy Stroop Task
Atchley, R., Klee, D., & Oken, B. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00521 · Cited by 34 · see citing works
Self-citationEfficacy Evaluation of Neurofeedback-Based Anxiety Relief
Chen, C., Xiao, X., Belkacem, A. N., Lu, L., Wang, X., Yi, W., Li, P., Wang, C., Sha, S., Zhao, X., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.758068 · Cited by 35 · see citing works
Cai, Z., Lin, R., Wang, X.-X., Yan, Y., & Li, H. (2022) · Geriatric Nursing · doi:10.1016/j.gerinurse.2022.08.001 · Cited by 32 · see citing works
Shang, B., Duan, F., Fu, R., Gao, J., Sik, H., Meng, X., & Chang, C. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1033420 · Cited by 28 · see citing works
Grossman, P., Deuring, G., Walach, H., Schwarzer, B., & Schmidt, S. (2017) · The Clinical Journal of Pain · doi:10.1097/ajp.0000000000000420 · Cited by 26 · see citing works
Navarro‐Gil, M., Marco, C. E., Montero‐Marín, J., Mínguez, J., Shonin, E., & García‐Campayo, J. (2017) · Mindfulness · doi:10.1007/s12671-017-0775-1 · Cited by 29 · see citing works
Measuring the Brain-Gut Axis in Psychological Sciences: A Necessary Challenge
Palacios-García, I., & Parada, F. J. (2020) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00073 · Cited by 31 · see citing works
Young, J. H., Arterberry, M. E., & Martin, J. P. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.628417 · Cited by 28 · see citing works
Xia, T. C., Hu, H., Seritan, A. L., & Eisendrath, S. (2019) · Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2019.0137 · Cited by 19 · see citing works
Ng, H. H., Wu, C. W., Huang, F., Cheng, Y., Guu, S.-F., Huang, C., Hsu, C., Chao, Y., Jung, T., & Chuang, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.748584 · Cited by 24 · see citing works
Cheng, K. S., Han, R. P. S., & Lee, P. F. (2017) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2017.12.008 · Cited by 24 · see citing works
Duda, A. T., Clarke, A. R., Barry, R. J., & Blasio, F. M. D. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112465 · Cited by 27 · see citing works
Mateos, D. M., Krumm, G., Filippetti, V. A., & Gutiérrez, M. (2022) · NeuroSci · doi:10.3390/neurosci3020025 · Cited by 22 · see citing works
Ng, H. H., Wu, C. W., Huang, F., Huang, C., Hsu, C., Chao, Y., Jung, T., & Chuang, C. (2023) · Journal of Neuroscience Research · doi:10.1002/jnr.25168 · Cited by 22 · see citing works
Quantitative EEG Changes in Youth With ASD Following Brief Mindfulness Meditation Exercise
Susam, B. T., Riek, N. T., Beck, K. B., Eldeeb, S. M., Hudac, C. M., Gable, P. A., Conner, C. M., Akçakaya, M., White, S. W., & Mazefsky, C. A. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3199151 · Cited by 20 · see citing works
Rahman, M. M., Ahmed, T., Ahmed, M. Y., Dinh, M., Nemati, E., Kuang, J., & Gao, J. A. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3546748 · Cited by 20 · see citing works
Cortical and autonomic responses during staged Taoist meditation: Two distinct meditation strategies
Volodina, M. A., Smetanin, N., Lebedev, M., & Ossadtchi, A. E. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260626 · Cited by 20 · see citing works
Kim, J., Kim, M., Jang, M., & Lee, J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031721 · Cited by 19 · see citing works
Malan, N. S., Khajuria, A., Bajpai, R., Kapoor, D., Kulkarni, M., & Joshi, D. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105003 · Cited by 19 · see citing works
Mindfulness meditation alters neural oscillations independently of arousal
Duda, A. T., Clarke, A. R., & Barry, R. J. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112439 · Cited by 23 · see citing works
Subjective and Objective Measures
Ferreira, H. A., & Saraiva, M. (2019) · Human-computer interaction series · doi:10.1007/978-3-319-96722-6_9 · Cited by 18 · see citing works
Automatic Detection of Mental Health Status using Alpha Subband of EEG Data
Ranjan, R., Neeti, & Sahana, B. C. (2022) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea54994.2022.9856586 · Cited by 19 · see citing works
Klee, D., Colgan, D. D., Hanes, D. A., & Oken, B. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.10.002 · Cited by 17 · see citing works
Self-citationIntermediate effects of mindfulness practice on the brain activity of college students: An EEG study
Do, H., Hoang, H., Nghia, N. T., An, A., Chau, H., Khuu, Q., Tran, L., Le, T., Le, A. P. H., Nguyen, K., et al. (2023) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2023.03.003 · Cited by 17 · see citing works
A closer look at yoga nidra- early randomized sleep lab investigations
Sharpe, E., Butler, M. P., Clark-Stone, J., Soltanzadeh, R., Jindal, R. D., Hanes, D. A., & Bradley, R. D. (2023) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2023.111169 · Cited by 16 · see citing works
Lin, Y., Gloe, L. M., Louis, C. C., Eckerle, W. D., Fisher, M. E., & Moser, J. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-71122-7 · Cited by 18 · see citing works
Kirk, M., Taha, B., Dang, K., McCague, H., Hatzinakos, D., Katz, J. D., & Ritvo, P. (2021) · JMIR Mental Health · doi:10.2196/26479 · Cited by 16 · see citing works
Русинова, А., Volodina, M. A., & Ossadtchi, A. E. (2024) · Scientific Reports · doi:10.1038/s41598-024-60932-8 · Cited by 14 · see citing works
Fu, H., Garrett, B., Tao, G., Cordingley, E., Ofoghi, Z., Taverner, T., Sun, C., & Cheung, T. (2021) · JMIR Biomedical Engineering · doi:10.2196/26332 · Cited by 13 · see citing works
Matiz, A., Crescentini, C., Bergamasco, M., Budai, R., & Fabbro, F. (2021) · Consciousness and Cognition · doi:10.1016/j.concog.2021.103210 · Cited by 12 · see citing works
Singh, D., Nagendra, H. R., Budhi, R. B., & Visweswaraiah, N. K. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2018.10.029 · Cited by 12 · see citing works
Kirk, U., Ngnoumen, C. T., Clausel, A., & Purvis, C. K. (2021) · Journal of Cognitive Enhancement · doi:10.1007/s41465-021-00233-4 · Cited by 10 · see citing works
Ghanizadeh, A., Bajestani, G. S., Hosseinpour, F., Hosseini, A., Makhloughi, F., & Toosi, M. B. (2024) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2024.101611 · Cited by 10 · see citing works
Tetrahedral feature map for analyzing meditative states in prenatal EEG
Das, D., Deb, N., & Choudhury, S. S. (2025) · Engineering Research Express · doi:10.1088/2631-8695/add4c3 · Cited by 10 · see citing works
The neuronal associations of respiratory-volume variability in the resting state
Shams, S. S., LeVan, P., & Chen, J. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117783 · Cited by 10 · see citing works
Binary classification of meditative state from the resting state using EEG
Panachakel, J. T., Kumar, G. P., Sharma, K., & Ramakrishnan, A. G. (2021) · IEEE India Conference · doi:10.1109/indicon52576.2021.9691641 · Cited by 10 · see citing works
Fucci, E., Poublan‐Couzardot, A., Abdoun, O., & Antoine Lutz, A. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2022.03.010 · Cited by 10 · see citing works
Lardone, A., Liparoti, M., Sorrentino, P., Minino, R., Polverino, A., Lopez, E. T., Bonavita, S., Lucidi, F., Sorrentino, G., & Mandolesi, L. (2022) · AIMS neuroscience · doi:10.3934/neuroscience.2022013 · Cited by 10 · see citing works
Bernardino, C., Ferreira, H., & Chambel, T. (2016) · ACM International Conference on Interactive Experiences for TV and Online Video · doi:10.1145/2932206.2933565 · Cited by 12 · see citing works
Heart–brain Rhythmic Synchronization during Meditation: A Nonlinear Signal Analysis
Shrivastava, A., Singh, B. K., Krishna, D., Prasanna, K., & Singh, D. (2023) · International Journal of Yoga · doi:10.4103/ijoy.ijoy_161_23 · Cited by 9 · see citing works
Merrigan, J. J., Quatman‐Yates, C. C., Caputo, J., Daniel, K., Briones, N., Sen, I., Bretz, S., Duchemin, A., Steinberg, B. A., Hagen, J. A., et al. (2023) · Global Advances in Integrative Medicine and Health · doi:10.1177/27536130231187636 · Cited by 9 · see citing works
Aviad, N., Moskovich, O., Orenstein, O., Benger, E., Arnaud Delorme, A., & Bernstein, A. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100423 · Cited by 9 · see citing works
Assessing Meditation State Using EEG-based Permutation Entropy Features
Han, Y., Huang, W., Huang, H., Xiao, J., & Li, Y. (2020) · IEEE/ASME International Conference on Advanced Intelligent Mechatronics · doi:10.1109/aim43001.2020.9158980 · Cited by 9 · see citing works
Panachakel, J. T., Pradeep Kumar, G., Ramakrishnan, A. G., & Sharma, K. (2021) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon54134.2021.9707427 · Cited by 9 · 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
Neurofeedback and Mindfulness in Peak Performance Training Among Athletes
Ford, N. L., Wyckoff, S. N., & Sherlin, L. H. (2016) · Biofeedback · doi:10.5298/1081-5937-44.3.11 · Cited by 9 · see citing works
Pavithran, P., Kumar, K. A., Seshadri, N. P. G., Singh, B. K., Mahesh, V., & Geethanjali, B. (2019) · International Conference on Advanced Computing and Communication Systems (ICACCS) · doi:10.1109/icaccs.2019.8728482 · Cited by 9 · see citing works
Soriano, J. R., de, E. B. M., Karaiskou, A.-Ι., Vuyst, H.-J. D., Rodriguez‐Larios, J., Feng, N., Varon, C., & Alaerts, K. (2024) · NeuroRegulation · doi:10.15540/nr.11.3.230 · Cited by 8 · see citing works
Ng, H. H., Wu, C. W., Hsu, H., Huang, C., Hsu, A., Chao, Y., Jung, T., & Chuang, C. (2024) · JMIR Formative Research · doi:10.2196/55478 · Cited by 9 · see citing works
Visualization of Brain Activation During Attention-Demanding Tasks Using Cognitive Signal Processing
Subramanian, M., Geethanjali, B., Seshadri, N. P. G., Venkat, B., & Vijayalakshmi, R. (2017) · International Journal of Cognitive Informatics and Natural Intelligence · doi:10.4018/ijcini.2017010105 · Cited by 8 · see citing works
Shrivastava, A., Singh, B. K., Krishna, D., Prasanna, K., & Singh, D. (2023) · Cureus · doi:10.7759/cureus.34977 · Cited by 8 · see citing works
Merlet, I., Guillery, M., Weyl, L., Hammal, M., Mălîia, M. D., Maliia, S., Biraben, A., Ricordeau, C., Drapier, D., & Nica, A. (2024) · Revue Neurologique · doi:10.1016/j.neurol.2024.02.387 · Cited by 9 · see citing works
WalkingWizard—A Truly Wearable EEG Headset for Everyday Use
Goh, T. L., & Peh, L.-S. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3648106 · Cited by 8 · see citing works
Jain, A., Raja, R., Kumar, M., & Verma, P. K. (2025) · Connection Science · doi:10.1080/09540091.2025.2467387 · Cited by 7 · see citing works
Borghesi, F., Cremascoli, R., Chirico, A., Bianchi, L., Moia, A. D., Priano, L., Piedimonte, A., Mauro, A., & Cipresso, P. (2024) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-024-04413-5 · Cited by 5 · see citing works
Merrigan, J. J., Klatt, M. D., Quatman‐Yates, C. C., Emerson, A. M., Kronenberg, J., Orr, M. L., Caputo, J., Daniel, K., Summers, R., Mulugeta, Y., et al. (2024) · EXPLORE · doi:10.1016/j.explore.2024.103022 · Cited by 7 · see citing works
Marasinghe, C., Tennakoon, V., & Mahawithanage, S. T. C. (2021) · Mindfulness · doi:10.1007/s12671-021-01762-x · Cited by 7 · see citing works
Dietrich, K. M., & Bidart, M. G. (2022) · Journal of American College Health · doi:10.1080/07448481.2022.2060709 · Cited by 6 · see citing works
Teo, J. T., Johnstone, S. J., & Thomas, S. J. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112412 · Cited by 7 · see citing works
BreathIE: Estimating Breathing Inhale Exhale Ratio Using Motion Sensor Data from Consumer Earbuds
Rashid, N., Rahman, M. M., Ahmed, T., Kuang, J., & Gao, J. A. (2023) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49357.2023.10096084 · Cited by 6 · see citing works
Assessing effect of meditation on cognitive workload using EEG signals
Jadhav, N., Manthalkar, R. R., & Joshi, Y. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2280312 · Cited by 6 · see citing works
Duda, A. T., Clarke, A. R., & Barry, R. J. (2025) · Mindfulness · doi:10.1007/s12671-025-02660-2 · Cited by 5 · see citing works
Khan, M. N. H., Creswell, J. D., Albert, J., O'Connell, P., Fallon, S., Polowitz, M., Xu, X., & Islam, B. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749498 · Cited by 6 · see citing works
Translational perspectives on brain-heart interplay: From methodologies to clinical applications
Saibene, M., Gu, Y., Ballegaard, M., Andersen, T., Bardram, J. E., & Puthusserypady, S. K. (2026) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2026.111522 · Cited by 6 · see citing works
Liyanagedera, N. D., Bareham, C. A., Kempton, H. M., & Guesgen, H. W. (2025) · Brain Informatics · doi:10.1186/s40708-025-00251-4 · Cited by 5 · see citing works
An Algorithm to Measure the Stress Level from EEG, EMG and HRV Signals
Ugarte, D. E., Linares, D., Kemper, G., & Almenara, C. A. (2019) · International Conference on Information Systems and Computer Science (INCISCOS) · doi:10.1109/inciscos49368.2019.00061 · Cited by 5 · see citing works
Usman, M., Jung, T., Hsin, D., & Lin, C. (2024) · Brain and Behavior · doi:10.1002/brb3.3628 · Cited by 5 · see citing works
Using EEG to advance mindfulness science: A survey of emerging methods and approaches
Lin, Y., Atad, D. A., & Zanesco, A. P. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.09.012 · Cited by 6 · see citing works
Xu, Q., Gu, Y., & Hu, X. (2025) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-025-09718-w · Cited by 5 · see citing works
Brief Mantra Meditation Increases Theta Power in Frontal Regions
Das, D., Kalita, B., Deb, N., & Choudhury, S. S. (2025) · International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC) · doi:10.1109/isacc65211.2025.10969192 · Cited by 4 · see citing works
Liyanagedera, N. D., Hussain, A. A., Singh, A. S. G., Lal, S. P., Kempton, H. M., & Guesgen, H. W. (2023) · Brain Informatics · doi:10.1186/s40708-023-00204-9 · Cited by 4 · see citing works
New Ways of Knowing Ourselves. BCI Facilitating Artistic Exploration of Our Biology
Jade, L., & Gentle, S. (2019) · Springer eBooks · doi:10.1007/978-3-030-14323-7_8 · Cited by 4 · see citing works
Kim, J., Lim, C., & Cho, S. (2021) · Neuroreport · doi:10.1097/wnr.0000000000001618 · Cited by 4 · see citing works
Ritu, V., Keerthana, M., Geethanjali, B., & Veezhinathan, M. (2017) · IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) · doi:10.1109/icci-cc.2017.8109758 · Cited by 4 · see citing works
Usgaonkar, S. S., Edla, D. R., Ramesh, D., & Ramachandran, M. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108456 · Cited by 3 · see citing works
- Authors
- Ahani, A., Wahbeh, H., Nezamfar, H., Miller, M., Erdogmus, D., & Oken, B.
- Affiliations
- Northeastern University (US)
- Oregon Health & Science University (US)
- Corresponding author
- Oken, Barry
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2014-05-14
- Volume
- 11
- Issue
- 1
- Pages
- 87-87
- ISSN
- 1743-0003 (ISSN-L)
- PMC
- PMC4060143
- OpenAlex
- W2153257584
- Cited by
- 159
- References
- 51
- Citations by year
- 2026: 16 · 2025: 19 · 2024: 21 · 2023: 19 · 2022: 16 · 2021: 16 · 2020: 13 · 2019: 7 · 2018: 7 · 2017: 10 · 2016: 10 · 2015: 4
- FWCI
- 9.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of NeuroEngineering and Rehabilitation (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0914808, 1149570, 1136027)
- National Center for Complementary and Integrative Health (K24AT005121, K01AT004951)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- mindfulness meditation, EEG, respiratory signals, support vector classifier, older adults, stress, frequency band analysis, phase analysis
- MeSH terms
- Aged, Brain, Electroencephalography, Female, Humans, Male, Middle Aged, Respiration, Signal Processing, Computer-Assisted, Meditation, Support Vector Machine, Mindfulness
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
