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Mental Training Enhances Attentional Stability: Neural and Behavioral Evidence
Open accessAbstract
The capacity to stabilize the content of attention over time varies among individuals, and its impairment is a hallmark of several mental illnesses. Impairments in sustained attention in patients with attention disorders have been associated with increased trial-to-trial variability in reaction time and event-related potential deficits during attention tasks. At present, it is unclear whether the ability to sustain attention and its underlying brain circuitry are transformable through training. Here, we show, with dichotic listening task performance and electroencephalography, that training attention, as cultivated by meditation, can improve the ability to sustain attention. Three months of intensive meditation training reduced variability in attentional processing of target tones, as indicated by both enhanced theta-band phase consistency of oscillatory neural responses over anterior brain areas and reduced reaction time variability. Furthermore, those individuals who showed the greatest increase in neural response consistency showed the largest decrease in behavioral response variability. Notably, we also observed reduced variability in neural processing, in particular in low-frequency bands, regardless of whether the deviant tone was attended or unattended. Focused attention meditation may thus affect both distracter and target processing, perhaps by enhancing entrainment of neuronal oscillations to sensory input rhythms, a mechanism important for controlling the content of attention. These novel findings highlight the mechanisms underlying focused attention meditation and support the notion that mental training can significantly affect attention and brain function.
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“The authors reported that the group, in attending mindfulness sessions, showed increased activation in prefrontal regions as identified by functional MRI and, therefore, this group attenuated their emotional arousals more easily compared to the control group [1].”
From A Cloud-Based Virtual Reality App for a Novel Telemindfulness Service: Rationale, Design and Feasibility Evaluation (2017) · cites this paper as [1]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Mindfulness meditation has been independently found to improve all three of these psychological barriers.”
From Effects of Mindfulness Training on Body Awareness to Sexual Stimuli: Implications for Female Sexual Dysfunction (2011) · cites this paper as [26]
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“For example, some, but not all, meditation practices result in increases in theta power (Lutz, et al., 2009).”
From Brain oscillations, hypnosis, and hypnotizability (2015) · cites this paper as Lutz, et al., 2009
Experimental — accuracy not yet measuredIn the citing paper
“This work also converges with findings from the meditation literature showing improved attentional processing (Lutz et al., 2009; Slatger et al., 2007) and increased activity in brain regions involved in empathy and compassion related to practice (Lutz, Brefczynski-Lewis, Johnstone, & Davidson, 2008).”
From Mindfulness for Teachers: A Pilot Study to Assess Effects on Stress, Burnout, and Teaching Efficacy (2013) · cites this paper as Lutz et al., 2009
In the citing paper
“Attention training is an important part of meditation, and has proven to augment the ability to sustain attention [1].”
From A Cloud-Based Virtual Reality App for a Novel Telemindfulness Service: Rationale, Design and Feasibility Evaluation (2017) · cites this paper as [1]
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Citations
Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Updating P300: An integrative theory of P3a and P3b
Polich, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.019 · Cited by 7,919
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
Attention regulation and monitoring in meditation
Lutz, A., Slagter, H. A., Dunne, J. D., & Davidson, R. J. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.01.005 · Cited by 2,659
Self-citationElectrical Signs of Selective Attention in the Human Brain
Hillyard, S. A., Hink, R. F., Schwent, V. L., & Picton, T. W. (1973) · Science · doi:10.1126/science.182.4108.177 · Cited by 1,938
Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900234106 · Cited by 1,769
Delorme, A., Sejnowski, T., & Makeig, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.004 · Cited by 1,759
Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008) · Science · doi:10.1126/science.1154735 · Cited by 1,719
Short-term meditation training improves attention and self-regulation
Tang, Y.-Y., Ma, Y., Wang, J., Fan, Y., Feng, S., Lu, Q., Yu, Q., Sui, D., Rothbart, M. K., Fan, M., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707678104 · Cited by 1,597
Mindfulness training modifies subsystems of attention
JHA, A. P., KROMPINGER, J., & BAIME, M. J. (2007) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.7.2.109 · Cited by 1,580
The neural bases of momentary lapses in attention
Weissman, D. H., Roberts, K. C., Visscher, K. M., & Woldorff, M. G. (2006) · Nature Neuroscience · doi:10.1038/nn1727 · Cited by 1,566
Low-frequency neuronal oscillations as instruments of sensory selection
Schroeder, C. E., & Lakatos, P. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.09.012 · Cited by 1,528
Competition between functional brain networks mediates behavioral variability
Kelly, A. M. C., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.008 · Cited by 1,287
Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence
Critchley, H. D., Mathias, C. J., Josephs, O., O’Doherty, J., Zanini, S., Dewar, B., Cipolotti, L., Shallice, T., & Dolan, R. J. (2003) · Brain · doi:10.1093/brain/awg216 · Cited by 1,201
Characterizing cognition in ADHD: beyond executive dysfunction
Castellanos, F. X., Sonuga-Barke, E. J. S., Milham, M. P., & Tannock, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.01.011 · Cited by 1,170
Dynamic attending and responses to time.
Jones, M. R., & Boltz, M. G. (1989) · Psychological Review · doi:10.1037/0033-295x.96.3.459 · Cited by 1,120
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
Self-citationLutz, A., Brefczynski-Lewis, J., Johnstone, T., & Davidson, R. J. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001897 · Cited by 942
Self-citationRole of locus coeruleus in attention and behavioral flexibility
Aston-Jones, G., Rajkowski, J., & Cohen, J. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00140-7 · Cited by 900
Neuropsychology and neuropharmacology of P3a and P3b
Polich, J. M., & Criado, J. R. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.12.012 · Cited by 768
Mental Training Affects Distribution of Limited Brain Resources
Slagter, H. A., Lutz, A., Greischar, L. L., Francis, A. D., Nieuwenhuis, S., Davis, J. M., & Davidson, R. J. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050138 · Cited by 757
Self-citationGunaratana, H. (1992) · Medical Entomology and Zoology · Cited by 713
Phase Synchrony among Neuronal Oscillations in the Human Cortex
Palva, J. M., Palva, S., & Kaila, K. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4250-04.2005 · Cited by 663
Selective attention enhances the auditory 40-Hz transient response in humans
Tiitinen, H., Sinkkonen, J., Reinikainen, K., Alho, K., Lavikainen, J., & Näätänen, R. (1993) · Nature · doi:10.1038/364059a0 · Cited by 656
The Electrophysiological Dynamics of Interference during the Stroop Task
Hanslmayr, S., Pastötter, B., Bäuml, K.-H., Gruber, S., Wimber, M., & Klimesch, W. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20020 · Cited by 510
Kahana, M. J., Seelig, D., & Madsen, J. R. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(01)00278-1 · Cited by 485
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex
Rolls, E. T., Loh, M., Deco, G., & Winterer, G. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2462 · Cited by 396
Meditation (Vipassana) and the P3a event-related brain potential
Cahn, B. R., & Polich, J. (2009) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.03.013 · Cited by 202
Winterer, G., Ziller, M., Dorn, H., Frick, K., Mulert, C., Wuebben, Y., Herrmann, W. M., & Coppola, R. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00322-3 · Cited by 187
Gaynor, L. D., Yarrow, K., & Brown, P. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.03.017 · Cited by 178
Effects of auditory pattern structure on anticipatory and reactive attending
Jones, M. R., Johnston, H. M., & Puente, J. (2006) · Cognitive Psychology · doi:10.1016/j.cogpsych.2006.01.003 · Cited by 169
A Dynamical Systems Hypothesis of Schizophrenia
Loh, M., Rolls, E. T., & Deco, G. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030228 · Cited by 164
Jensen, O. B., & Lisman, J. E. (1996) · Learning & Memory · doi:10.1101/lm.3.2-3.264 · Cited by 155
Psychological Mechanisms in Hyperactivity: II The Role of Genetic Factors
Kuntsi, J., & Stevenson, J. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00712 · Cited by 147
Gabor filters: an informative way for analysing event-related brain activity
Sinkkonen, J., Tiitinen, H., & Näätänen, R. (1995) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(94)00111-s · Cited by 139
Theta Phase Synchrony and Conscious Target Perception: Impact of Intensive Mental Training
Slagter, H. A., Lutz, A., Greischar, L. L., Nieuwenhuis, S., & Davidson, R. J. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21125 · Cited by 132
Self-citationSignal detection and identification at successive stages of observation
Swets, J. A., Green, D. M., Getty, D. J., & Swets, J. B. (1978) · Perception & Psychophysics · doi:10.3758/bf03199711 · Cited by 68
Analysis of multiple event related potential components in a tone discrimination task
Lindholm, E. P., & Koriath, J. J. (1985) · International Journal of Psychophysiology · doi:10.1016/0167-8760(85)90032-7 · Cited by 55
The world of Tibetan Buddhism: an overview of its philosophy and practice
(1995) · Choice Reviews Online · doi:10.5860/choice.32-5593 · Cited by 49
Electrophysiological markers of skill-related neuroplasticity
Romero, S. G., McFarland, D. J., Faust, R. R., Farrell, L., & Cacace, A. T. (2008) · Biological Psychology · doi:10.1016/j.biopsycho.2008.03.014 · Cited by 22
Cognitive differences between anxious, normal, and ADHD children on a dichotic listening task.
Manassis, K., Tannock, R., & Masellis, M. (1996) · PubMed · Cited by 17
Research works printed but not linked: 2
- 10.1017/S0021963001006710 · DOI
- Niedermeyer E (1999) in Electroencephalography: basic principles, clinical application, and related fields, The normal EEG of the waking adult, eds Niedermeyer E Lopes Da Silva F (Lippincott Williams and Wilkins, Baltimore).
Cited by
Sorted by citations
Brewer, J. A., Worhunsky, P. D., Gray, J. R., Tang, Y.-Y., Weber, J., & Kober, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112029108 · Cited by 1,409
Mindfulness meditation improves cognition: evidence of brief mental training
Zeidan, F., Johnson, S. K., Diamond, B. J., David, Z., & Goolkasian, P. (2010) · Consciousness and Cognition · doi:10.1016/j.concog.2010.03.014 · Cited by 1,363
Jha, A. P., Stanley, E. A., Kiyonaga, A., Wong, L., & Gelfand, L. (2010) · Emotion · doi:10.1037/a0018438 · Cited by 906
Contemplating Mindfulness at Work: An Integrative Review
Good, D. J., Lyddy, C. J., Glomb, T. M., Bono, J. E., Brown, K. W., Duffy, M. K., Baer, R. A., Brewer, J. A., & Lazar, S. W. (2016) · Journal of Management · doi:10.1177/0149206315617003 · Cited by 1,043
Reconstructing and deconstructing the self: cognitive mechanisms in meditation practice
Dahl, C. J., Lutz, A., & Davidson, R. J. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.07.001 · Cited by 809
Self-citation
Metadata
- Authors
- Lutz, A., Slagter, H. A., Rawlings, N. B., Francis, A. D., Greischar, L. L., & Davidson, R. J.
- Affiliations
- University of Wisconsin–Madison (US)
- Warneford Hospital (GB)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-10-21
- Volume
- 29
- Issue
- 42
- Pages
- 13418-13427
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2789281
- OpenAlex
- W2145637681
- Cited by
- 489
- References
- 42
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 18 · 2023: 24 · 2022: 34 · 2021: 14 · 2020: 26 · 2019: 35 · 2018: 30 · 2017: 30 · 2016: 51 · 2015: 38 · 2014: 43 · 2013: 40 · 2012: 36
- FWCI
- 28.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Institutes of Health (5u01at002114-03)
- National Institute of Mental Health (P50MH069315)
- National Center for Complementary and Integrative Health (U01-AT002114, P01AT004952)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- attention stability, sustained attention, meditation training, focused attention meditation, mental training, neural oscillations, reaction time variability, dichotic listening, event-related potentials, attentional control
- MeSH terms
- Acoustic Stimulation, Adult, Analysis of Variance, Attention, Attention Deficit Disorder with Hyperactivity, Auditory Perception, Contingent Negative Variation, Dichotic Listening Tests, Electroencephalography, Evoked Potentials, Auditory, Female, Humans, Male, Middle Aged, Reaction Time, Case-Control Studies, Meditation, Young Adult
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