Regular, brief mindfulness meditation practice improves electrophysiological markers of attentional control

Adam Moore, Thomas Gruber, Jennifer Derose, Peter Malinowski, Adam Moore, Thomas Gruber, Jennifer Derose, Peter Malinowski

Abstract

Mindfulness-based meditation practices involve various attentional skills, including the ability to sustain and focus ones attention. During a simple mindful breathing practice, sustained attention is required to maintain focus on the breath while cognitive control is required to detect mind wandering. We thus hypothesized that regular, brief mindfulness training would result in improvements in the self-regulation of attention and foster changes in neuronal activity related to attentional control. A longitudinal randomized control group EEG study was conducted. At baseline (T1), 40 meditation naïve participants were randomized into a wait list group and a meditation group, who received three hours mindfulness meditation training. Twenty-eight participants remained in the final analysis. At T1, after eight weeks (T2) and after 16 weeks (T3), all participants performed a computerized Stroop task (a measure of attentional control) while the 64-channel EEG was recorded. Between T1 and T3 the meditators were requested to meditate daily for 10 min. Event-related potential (ERP) analysis highlighted two between group effects that developed over the course of the 16-week mindfulness training. An early effect at left and right posterior sites 160-240 ms post-stimulus indicated that meditation practice improved the focusing of attentional resources. A second effect at central posterior sites 310-380 ms post-stimulus reflects that meditation practice reduced the recruitment of resources during object recognition processes, especially for incongruent stimuli. Scalp topographies and source analyses (Variable Resolution Electromagnetic Tomography, VARETA) indicate relevant changes in neural sources, pertaining to left medial and lateral occipitotemporal areas for the early effect and right lateral occipitotemporal and inferior temporal areas for the later effect. The results suggest that mindfulness meditation may alter the efficiency of allocating cognitive resources, leading to improved self-regulation of attention.

Keywords: EEG; Stroop; attention; cognitive control; interference; meditation; mindfulness.

Figures

Figure 1
Figure 1
Flow of participants through the study. From randomly allocating 20 participants to each group, for the final analysis 12 participants remained in the meditation group and 16 in the control group.
Figure 2
Figure 2
Grand mean average ERPs of all 28 participants for congruent and incongruent stimuli, averaged over Group (meditation, control) and Time (T1, T2, T3). ERPs from eight representative electrodes (out of 64 scalp electrodes) are shown. The three analysis time windows (N2: 160–240 ms, P3: 310–380 ms, and LN: 400–600 ms) are indicated at electrode POz.
Figure 3
Figure 3
Total mindfulness scores (FFMQ-total, possible range 39–195) for meditation group and control group from T1 to T3. The figure depicts the significant interaction between Group and Time. Error bars show the standard error of the mean.
Figure 4
Figure 4
Analysis of the N2 time window, from 160 to 240 ms. (A) Grand mean averages for meditation and control group for T1 and T3 averaged over left posterior electrodes (PO7, PO3, O1; upper row) and right posterior electrodes (PO8, PO4, O2; lower row). (B) Mean N2 amplitudes from T1 to T3 averaged over the same electrode clusters. (C) Spherical spline interpolated scalp topographies of the difference between T1 and T3 (T3–T1) for meditation and control group, separated for congruent and incongruent stimuli. Positive values indicate a decrease in amplitudes; negative values indicate an increase in amplitudes. (D) Activation differences between T1 and T3 for each group and congruency, based on the localization of cortical generators with VARETA. Significant differences (threshold p < 0.001) are presented for axial MNI slices at Z = −10 for congruent stimuli and at Z = −17 for incongruent stimuli (centers of gravity of the activation). Salmon-colored areas indicate a decrease in activation and green areas indicate an increase in activation.
Figure 5
Figure 5
Analysis of the P3 time window, from 310 to 380 ms. (A) Grand mean averages for meditation and control group for T1 and T3 for electrode Pz. (B) Mean P3 amplitudes from T1 to T3 averaged for the same electrode. (C) Spherical spline interpolated scalp topographies of the difference between T1 and T3 (T3–T1) for meditation and control group, separated for congruent and incongruent stimuli. Positive values indicate an increase in amplitudes; negative values indicate a decrease in amplitudes. (D) Activation differences between T1 and T3 for each group and congruency, based on the localization of cortical generators with VARETA. Significant differences (threshold p < 0.001) are presented for axial MNI slices at Z = −17 (center of gravity of the activation). Salmon-colored areas indicate a decrease in activation and green areas indicate an increase in activation.

References

    1. Aarts E., Roelofs A., van Turennout M. (2008). Anticipatory activity in anterior cingulate cortex can be independent of conflict and error likelihood. J. Neurosci. 28, 4671–4678 10.1523/JNEUROSCI.4400-07.2008
    1. Adorni R., Proverbio A. M. (2009). New insights into name category-related effects: is the age of acquisition a possible factor? Behav. Brain Funct. 5, 33 10.1186/1744-9081-5-33
    1. Akhtar N., Enns J. T. (1989). Relations between covert orienting and filtering in the development of visual attention. J. Exp. Child Psychol. 48, 315–334
    1. Anderson N. D., Lau M. A., Segal Z. V., Bishop S. R. (2007). Mindfulness-based stress reduction and attentional control. Clin. Psychol. Psychother. 14, 449–463
    1. Baer R. A., Smith G. T., Hopkins J., Krietemeyer J., Toney L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment 13, 27–45 10.1177/1073191105283504
    1. Baer R. A., Smith G. T., Lykins E., Button D., Krietemeyer J., Sauer S., Walsh E., Duggan D., Williams J. M. (2008). Construct validity of the five facet mindfulness questionnaire in meditating and nonmeditating samples. Assessment 15, 329–342 10.1177/1073191107313003
    1. Bell A. J., Sejnowski T. J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7, 1129–1159
    1. Benjamini Y., Hochberg Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B 57, 289–300
    1. Bhikkhu Bodhi (1995). The Middle Length Discourses of the Buddha. Boston, MA: Wisdom Publications
    1. Bishop S. R. (2002). What do we really know about mindfulness-based stress reduction? Psychosom. Med. 64, 71–84
    1. Bishop S. R., Lau M. A., Shapiro S. L., Carlson L. E., Anderson N. D., Carmody J., Segal Z. V., Abbey S., Speca M., Velting D., Devins G. (2004). Mindfulness: a proposed operational definition. Clin. Psychol. Sci. Pract. 11, 230–242
    1. Bosch-Bayard J., Valdés-Sosa P., Virués-Alba E., Aubert-Vázquez E., John R., Harmony T., Riera-Díaz J., Trujillo-Barreto N. (2001). 3D statistical parametric mapping of variable resolution electromagnetic tomography (VARETA). Clin. Electroencephalogr. 32, 47–66
    1. Brefczynski-Lewis J. A., Lutz A., Schaefer H. S., Levinson D. B., Davidson R. J. (2007). Neural correlates of attentional expertise in long-term meditation practitioners. Proc. Natl. Acad. Sci. U.S.A. 104, 11483–11488 10.1073/pnas.0606552104
    1. Cahn B. R., Delorme A., Polich J. (2010). Occipital gamma activation during Vipassana meditation. Cogn. Process. 11, 39–56 10.1007/s10339-009-0352-1
    1. Cahn B. R., Polich J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol. Bull. 132, 180–211 10.1037/0033-2909.132.2.180
    1. Cahn B. R., Polich J. (2009). Meditation (Vipassana) and the P3a event-related brain potential. Int. J. Psychophysiol. 72, 51–60 10.1016/j.ijpsycho.2008.03.013
    1. Chambers R., Gullone E., Allen N. B. (2009). Mindful emotion regulation: an integrative review. Clin. Psychol. Rev. 29, 560–572 10.1016/j.cpr.2009.06.005
    1. Chambers R., Lo B. C. Y., Allen N. B. (2008). The impact of intensive mindfulness training on attentional control, cognitive style, and affect. Cognit. Ther. Res. 32, 303–322
    1. Chan D., Woollacott M. (2007). Effects of level of meditation experience on attentional focus: is the efficiency of executive or orientation networks improved? J. Altern. Complement. Med. 13, 651–657 10.1089/acm.2007.7022
    1. Chiesa A., Calati R., Serretti A. (2011). Does mindfulness training improve cognitive abilities? A systematic review of neuropsychological findings. Clin. Psychol. Rev. 31, 449–464 10.1016/j.cpr.2010.11.003
    1. Chiesa A., Malinowski P. (2011). Mindfulness based interventions: are they all the same? J. Clin. Psychol. 67, 404–424 10.1002/jclp.20776
    1. Chiesa A., Serretti A. (2009). Mindfulness-based stress reduction for stress management in healthy people: a review and meta-analysis. J. Altern. Complement. Med. 15, 593–600 10.1089/acm.2008.0495
    1. Chiesa A., Serretti A. (2011). Mindfulness based cognitive therapy for psychiatric disorders: a systematic review and meta-analysis. Psychiatry Res. 187, 441–453 10.1016/j.psychres.2010.08.011
    1. Christie J., Klein R. (1995). Familiarity and attention: does what we know affect what we notice? Mem. Cognit. 23, 547–550
    1. Cohen L., Dehaene S. (2004). Specialization within the ventral stream: the case for the visual word form area. Neuroimage 22, 466–476 10.1016/j.neuroimage.2003.12.049
    1. Cohen L., Lehericy S., Chochon F., Lemer C., Rivaud S., Dehaene S. (2002). Language-specific tuning of visual cortex? Functional properties of the Visual Word Form Area. Brain 125, 1054–1069 10.1093/brain/awf094
    1. Corbetta M., Shulman G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201–215 10.1038/nrn755
    1. Delorme A., Makeig S. (2004). EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134, 9–21 10.1016/j.jneumeth.2003.10.009
    1. Dorjee D. (2010). Kinds and dimensions of mindfulness: why it is important to distinguish them. Mindfulness 1, 152–160
    1. Eimer M. (1997). An event-related potential (ERP) study of transient and sustained visual attention to color and form. Biol. Psychol. 44, 143–160 10.1016/S0301-0511(96)05217-9
    1. Evans A. C., Collins D. L., Mills S. R., Brown E. D., Kelly R. L., Peters T. M. (1993). “3D statistical neuroanatomical models from 305 MRI volumes,” in Nuclear Science Symposium and Medical Imaging Conference, 1993 IEEE Conference Record, 1813–1817
    1. Folstein J. R., van Petten C. (2008). Influence of cognitive control and mismatch on the N2 component of the ERP: a review. Psychophysiology 45, 152–170 10.1111/j.1469-8986.2007.00602.x
    1. Grant J. A., Courtemanche J., Duerden E. G., Duncan G. H., Rainville P. (2010). Cortical thickness and pain sensitivity in zen meditators. Emotion 10, 43–53 10.1037/a0018334
    1. Green C. S., Bavelier D. (2008). Exercising your brain: a review of human brain plasticity and training-induced learning. Psychol. Aging 23, 692–701 10.1037/a0014345
    1. Grossman P., Niemann L., Schmidt S., Walach H. (2004). Mindfulness-based stress reduction and health benefits. A meta-analysis. J. Psychosom. Res. 57, 35–43 10.1016/S0022-3999(03)00573-7
    1. Gruber T., Trujillo-Barreto N. J., Giabbiconi C. M., Valdes-Sosa P. A., Müller M. M. (2006). Brain electrical tomography (BET) analysis of induced gamma band responses during a simple object recognition task. Neuroimage 29, 888–900 10.1016/j.neuroimage.2005.09.004
    1. Gunaratana H. (1992). Mindfulness in Plain English. Boston, MA: Wisdom Publications
    1. Hanslmayr S., Pastotter B., Bauml K. H., Gruber S., Wimber M., Klimesch W. (2008). The electrophysiological dynamics of interference during the Stroop task. J. Cogn. Neurosci. 20, 215–225 10.1162/jocn.2008.20020
    1. Hillyard S. A., Anllo-Vento L. (1998). Event-related brain potentials in the study of visual selective attention. Proc. Natl. Acad. Sci. U.S.A. 95, 781–787
    1. Hillyard S. A., Vogel E. K., Luck S. J. (1998). Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence. Philos. Trans. R. Soc. Lond. B Biol. Sci. 353, 1257–1270 10.1098/rstb.1998.0281
    1. Hodgins H. S., Adair K. C. (2010). Attentional processes and meditation. Conscious. Cogn. 19, 872–878 10.1016/j.concog.2010.04.002
    1. Hölzel B. K., Carmody J., Vangel M., Congleton C., Yerramsetti S. M., Gard T., Lazar S. W. (2011). Mindfulness practice leads to increases in regional brain gray matter density. Psychiatry Res. 191, 36–43 10.1016/j.pscychresns.2010.08.006
    1. Hölzel B. K., Ott U., Gard T., Hempel H., Weygandt M., Morgen K., Vaitl D. (2008). Investigation of mindfulness meditation practitioners with voxel-based morphometry. Soc. Cogn. Affect. Neurosci. 3, 55–61 10.1093/scan/nsm038
    1. Ilan A. B., Polich J. (1999). P300 and response time from a manual Stroop task. Clin. Neurophysiol. 110, 367–373
    1. Jacobs T. L., Epel E. S., Lin J., Blackburn E. H., Wolkowitz O. M., Bridwell D. A., Zanesco A. P., Aichele S. R., Sahdra B. K., Maclean K. A., King B. G., Shaver P. R., Rosenberg E. L., Ferrer E., Wallace B. A., Saron C. D. (2011). Intensive meditation training, immune cell telomerase activity, and psychological mediators. Psychoneuroendocrinology 36, 664–681 10.1016/j.psyneuen.2010.09.010
    1. Jha A. P., Krompinger J., Baime M. J. (2007). Mindfulness training modifies subsystems of attention. Cogn. Affect. Behav. Neurosci. 7, 109–119
    1. Kabat-Zinn J. (1990). Full Catastrophe Living: Using the Wisdom of Your Body and Mind to Face Stress, Pain and Illness. New York, NY: Bantam Doubleday Dell Publishing
    1. Kabat-Zinn J. (2003). Mindfulness-based interventions in context: past, present, and future. Clin. Psychol. Sci. Pract. 10, 144–156
    1. Kabat-Zinn J., Lipworth L., Burney R. (1985). The clinical use of mindfulness meditation for the self-regulation of chronic pain. J. Behav. Med. 8, 163–190
    1. Kabat-Zinn J., Lipworth L., Burney R., Sellers W. (1987). Four-year follow-up of a meditation-based program for the self-regulation of chronic pain: treatment outcomes and compliance. Clin. J. Pain 2, 159–173
    1. Kabat-Zinn J., Massion A. O., Kristeller J., Peterson L. G., Fletcher K. E., Pbert L., Lenderking W. R., Santorelli S. F. (1992). Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders. Am. J. Psychiatry 149, 936–943
    1. Karmapa Wangchug Dorje. (2009). Mahamudra – The Ocean of True Meaning: The Profound Instructions on Coexisting Unity, the Essence of the Ocean of True Meaning, and Light Radiating Activity. Münster: Edition Octopus
    1. Kindt M., Bierman D., Brosschot J. F. (1996). Stroop versus Stroop: comparison of a card format and a single-trial format of the standard color-word Stroop task and the emotional Stroop task. Pers. Individ. Dif. 21, 653–661
    1. Kozasa E. H., Sato J. R., Lacerda S. S., Barreiros M. A., Radvany J., Russell T. A., Sanches L. G., Mello L. E., Amaro E. Jr. (2012). Meditation training increases brain efficiency in an attention task. Neuroimage 59, 745–749 10.1016/j.neuroimage.2011.06.088
    1. Lazar S. W., Kerr C. E., Wasserman R. H., Gray J. R., Greve D. N., Treadway M. T., Mcgarvey M., Quinn B. T., Dusek J. A., Benson H., Rauch S. L., Moore C. I., Fischl B. (2005). Meditation experience is associated with increased cortical thickness. Neuroreport 16, 1893–1897
    1. Liotti M., Woldorff M. G., Perez R., Mayberg H. S. (2000). An ERP study of the temporal course of the Stroop color-word interference effect. Neuropsychologia 38, 701–711 10.1016/S0028-3932(99)00106-2
    1. Luders E., Toga A. W., Lepore N., Gaser C. (2009). The underlying anatomical correlates of long-term meditation: larger hippocampal and frontal volumes of gray matter. Neuroimage 45, 672–678
    1. Lutz A., Greischar L. L., Rawlings N. B., Ricard M., Davidson R. J. (2004). Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proc. Natl. Acad. Sci. U.S.A. 101, 16369–16373 10.1073/pnas.0407401101
    1. Lutz A., Slagter H. A., Dunne J. D., Davidson R. J. (2008). Attention regulation and monitoring in meditation. Trends Cogn. Sci. 12, 163–169 10.1016/j.tics.2008.01.005
    1. Lutz A., Slagter H. A., Rawlings N. B., Francis A. D., Greischar L. L., Davidson R. J. (2009). Mental training enhances attentional stability: neural and behavioral evidence. J. Neurosci. 29, 13418–13427 10.1523/JNEUROSCI.1614-09.2009
    1. Lyubomirsky S., Lepper H. S. (1999). A measure of subjective happiness: preliminary reliability and construct validation. Soc. Indic. Res. 46, 137–155
    1. Lyubomirsky S., Tucker K. L. (1998). Implications of individual differences in subjective happiness for perceiving, interpreting, and thinking about life events. Motiv. Emot. 22, 155–186
    1. MacLean K. A., Ferrer E., Aichele S. R., Bridwell D. A., Zanesco A. P., Jacobs T. L., King B. G., Rosenberg E. L., Sahdra B. K., Shaver P. R., Wallace B. A., Mangun G. R., Saron C. D. (2010). Intensive meditation training improves perceptual discrimination and sustained attention. Psychol. Sci. 21, 829–839 10.1177/0956797610371339
    1. MacLeod C. M. (1991). Half a century of research on the Stroop effect: an integrative review. Psychol. Bull. 109, 163–203
    1. Malinowski P. (2008). Mindfulness as psychological dimension: concepts and applications. Ir. J. Psychol. 29, 155–166
    1. Malinowski P. (2012). “Flourishing through meditation and mindfulness,” in Oxford Handbook of Happiness, eds Boniwell I., David S. (Oxford: Oxford University Press; ).
    1. Miyake A., Friedman N. P., Emerson M. J., Witzki A. H., Howerter A., Wager T. D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: a latent variable analysis. Cogn. Psychol. 41, 49–100 10.1006/cogp.1999.0734
    1. Moore A., Malinowski P. (2009). Meditation, mindfulness and cognitive flexibility. Conscious. Cogn. 18, 176–186 10.1016/j.concog.2008.12.008
    1. Nolan H., Whelan R., Reilly R. B. (2010). FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection. J. Neurosci. Methods 192, 152–162 10.1016/j.jneumeth.2010.07.015
    1. Polak E. L. (2009). Impact of Two Sessions of Mindfulness Training on Attention. Ph.D. thesis, University of Miami.
    1. Polich J. (2007). Updating P300: an integrative theory of P3a and P3b. Clin. Neurophysiol. 118, 2128–2148 10.1016/j.clinph.2007.04.019
    1. Posner M. I., Rothbart M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annu. Rev. Psychol. 58, 1–23 10.1146/annurev.psych.58.110405.085516
    1. Raz A., Buhle J. (2006). Typologies of attentional networks. Nat. Rev. Neurosci. 7, 367–379 10.1038/nrn1903
    1. Roelofs A., van Turennout M., Coles M. G. (2006). Anterior cingulate cortex activity can be independent of response conflict in Stroop-like tasks. Proc. Natl. Acad. Sci. U.S.A. 103, 13884–13889 10.1073/pnas.0606265103
    1. Sahdra B. K., Maclean K. A., Ferrer E., Shaver P. R., Rosenberg E. L., Jacobs T. L., Zanesco A. P., King B. G., Aichele S. R., Bridwell D. A., Mangun G. R., Lavy S., Wallace B. A., Saron C. D. (2011). Enhanced response inhibition during intensive meditation training predicts improvements in self-reported adaptive socioemotional functioning. Emotion 11, 299–312 10.1037/a0022764
    1. Salo R., Henik A., Robertson L. C. (2001). Interpreting Stroop interference: an analysis of differences between task versions. Neuropsychology 15, 462–471
    1. Schendan H. E., Kutas M. (2002). Neurophysiological evidence for two processing times for visual object identification. Neuropsychologia 40, 931–945 10.1016/S0028-3932(01)00176-2
    1. Schendan H. E., Stern C. E. (2007). Mental rotation and object categorization share a common network of prefrontal and dorsal and ventral regions of posterior cortex. Neuroimage 35, 1264–1277 10.1016/j.neuroimage.2007.01.012
    1. Segal Z., Williams J. M. G., Teasdale J. D. (2002). Mindfulness-based Cognitive Therapy for Depression: A New Approach for Preventing Relapse. New York, NY: Guilford
    1. Semple R. J. (2010). Does mindfulness meditation enhance attention? A randomized controlled trial. Mindfulness 1, 121–130
    1. Shapiro K. L., Arnell K. M., Raymond J. E. (1997). The attentional blink. Trends Cogn. Sci. 1, 219–296 10.1016/S1364-6613(97)01094-2
    1. Shapiro S. L., Carlson L. E., Astin J. A., Freedman B. (2006). Mechanisms of mindfulness. J. Clin. Psychol. 62, 373–386 10.1002/jclp.20237
    1. Shaywitz B. A., Shaywitz S. E., Blachman B. A., Pugh K. R., Fulbright R. K., Skudlarski P., Mencl W. E., Constable R. T., Holahan J. M., Marchione K. E., Fletcher J. M., Lyon G. R., Gore J. C. (2004). Development of left occipitotemporal systems for skilled reading in children after a phonologically- based intervention. Biol. Psychiatry 55, 926–933 10.1016/j.biopsych.2003.12.019
    1. Slagter H. A., Davidson R. J., Lutz A. (2011). Mental training as a tool in the neuroscientific study of brain and cognitive plasticity. Front. Hum. Neurosci. 5, 17 10.3389/fnhum.2011.00017
    1. Slagter H. A., Lutz A., Greischar L. L., Francis A. D., Nieuwenhuis S., Davis J. M., Davidson R. J. (2007). Mental training affects distribution of limited brain resources. PLoS Biol. 5, e138 10.1371/journal.pbio.0050138
    1. Slagter H. A., Lutz A., Greischar L. L., Nieuwenhuis S., Davidson R. J. (2009). Theta phase synchrony and conscious target perception: impact of intensive mental training. J. Cogn. Neurosci. 21, 1536–1549 10.1162/jocn.2009.21125
    1. Stroop J. R. (1935). Studies of interference in serial verbal reactions. J. Exp. Psychol. 18, 643–661
    1. Tang Y. Y., Lu Q., Geng X., Stein E. A., Yang Y., Posner M. I. (2010). Short-term meditation induces white matter changes in the anterior cingulate. Proc. Natl. Acad. Sci. U.S.A. 107, 15649–15652 10.1073/pnas.1011043107
    1. Tang Y. Y., Ma Y., Fan Y., Feng H., Wang J., Feng S., Lu Q., Hu B., Lin Y., Li J., Zhang Y., Wang Y., Zhou L., Fan M. (2009). Central and autonomic nervous system interaction is altered by short-term meditation. Proc. Natl. Acad. Sci. U.S.A. 106, 8865–8870 10.1073/pnas.0904031106
    1. Tei S., Faber P. L., Lehmann D., Tsujiuchi T., Kumano H., Pascual-Marqui R. D., Gianotti L. R., Kochi K. (2009). Meditators and non-meditators: EEG source imaging during resting. Brain Topogr. 22, 158–165 10.1007/s10548-009-0107-4
    1. Travis F., Shear J. (2010). Focused attention, open monitoring and automatic self-transcending: Categories to organize meditations from Vedic, Buddhist and Chinese traditions. Conscious. Cogn. 19, 1110–1118 10.1016/j.concog.2010.01.007
    1. Valentine E. R., Sweet P. L. G. (1999). Meditation and attention: a comparison of the effects of concentrative and mindfulness meditation on sustained attention. Ment. Health Relig. Cult. 2, 59–70
    1. van den Hurk P. A., Giommi F., Gielen S. C., Speckens A. E., Barendregt H. P. (2010). Greater efficiency in attentional processing related to mindfulness meditation. Q. J. Exp. Psychol. 63, 1168–1180
    1. van Leeuwen S., Müller N. G., Melloni L. (2009). Age effects on attentional blink performance in meditation. Conscious. Cogn. 18, 593–599 10.1016/j.concog.2009.05.001
    1. van Vugt M. K., Jha A. P. (2011). Investigating the impact of mindfulness meditation training on working memory: a mathematical modeling approach. Cogn. Affect. Behav. Neurosci. 11, 344–353 10.3758/s13415-011-0048-8
    1. Wenk-Sormaz H. (2005). Meditation can reduce habitual responding. Altern. Ther. Health Med. 11, 42–58
    1. Williams J. M. (2010). Mindfulness and psychological process. Emotion 10, 1–7 10.1037/a0018360
    1. Zeidan F., Johnson S. K., Diamond B. J., David Z., Goolkasian P. (2010). Mindfulness meditation improves cognition: evidence of brief mental training. Conscious. Cogn. 19, 597–605 10.1016/j.concog.2010.03.014

Source: PubMed

3
Předplatit