A mind you can count on: validating breath counting as a behavioral measure of mindfulness

Daniel B Levinson, Eli L Stoll, Sonam D Kindy, Hillary L Merry, Richard J Davidson, Daniel B Levinson, Eli L Stoll, Sonam D Kindy, Hillary L Merry, Richard J Davidson

Abstract

Mindfulness practice of present moment awareness promises many benefits, but has eluded rigorous behavioral measurement. To date, research has relied on self-reported mindfulness or heterogeneous mindfulness trainings to infer skillful mindfulness practice and its effects. In four independent studies with over 400 total participants, we present the first construct validation of a behavioral measure of mindfulness, breath counting. We found it was reliable, correlated with self-reported mindfulness, differentiated long-term meditators from age-matched controls, and was distinct from sustained attention and working memory measures. In addition, we employed breath counting to test the nomological network of mindfulness. As theorized, we found skill in breath counting associated with more meta-awareness, less mind wandering, better mood, and greater non-attachment (i.e., less attentional capture by distractors formerly paired with reward). We also found in a randomized online training study that 4 weeks of breath counting training improved mindfulness and decreased mind wandering relative to working memory training and no training controls. Together, these findings provide the first evidence for breath counting as a behavioral measure of mindfulness.

Keywords: attention; meta-awareness; meta-cognition; mind wandering; mindfulness; task-unrelated thought; wanting; working memory training.

Figures

FIGURE 1
FIGURE 1
Cognitive correlates of breath counting accuracy, and their replication (Insets). (A) The relation across participants between state meta-awareness and counting accuracy. State meta-awareness was indexed as the average response to 12 probes during breath counting asking “How aware were you of where your attention was?” on a 6-point Likert scale ranging from “completely aware” to “completely unaware.” Counting accuracy was indexed as the percent of total task count sets correct. (B) The relation within participants between momentary mind wandering and counting accuracy. During breath counting participants were randomly probed 12 times for their current count and mind wandering status on a 6-point Likert scale ranging from “completely on-task” to “completely off-task.” For each participant, mind wandering scores were averaged separately for moments when on-count vs. off-count, and then entered into group-level “correct” and “miscount” means displayed by bar graph ( ±1 SE). *p < 0.05.
FIGURE 2
FIGURE 2
Affective correlates of breath counting accuracy, indexed as the percent of total task count sets correct. (A) The relation across participants between state affect (negative–positive) from the Positive And Negative Affect Scale and counting accuracy. (B) The relation across all participants between attention capture (defined as response time when reward-associated distractors were present minus response time when they were absent) and counting accuracy.
FIGURE 3
FIGURE 3
Reliability and known-groups validity of breath counting accuracy, indexed as the percent of total task count sets correct. (A) 1 week test–retest reliability. (B) Long-term vs. age-matched novice meditators’ counting accuracy (±1 SE); the group difference remained significant after controlling for individual differences in sustained attention indexed by sustained attention to response task (SART) commission errors. *p < 0.05.
FIGURE 4
FIGURE 4
Breath counting as a method and measure of mindfulness training. (A) Counting accuracy for each training group before and after the training period (± 1 SE), indexed as the percent of total task count sets correct. (B) Change in mind wandering over the course of 20 consecutive weekdays of either breath counting or n-back training. Mind wandering during daily training was calculated from the average of two 25 min training sessions (AM and PM). Mind wandering was measured by a single rating at the end of each session that answered the question “Where was your attention just now?” on a 6-point likert scale ranging from “completely on-task” to “completely off-task.” Error bars represent within participants’ ± 1 SE.

References

    1. Allan Cheyne J., Solman G. J. F., Carriere J. S. A., Smilek D. (2009). Anatomy of an error: a bidirectional state model of task engagement/disengagement and attention-related errors. Cognition 111 98–113. 10.1016/j.cognition.2008.12.009
    1. Anālayo B. (2003). Satipatthāna. The Direct Path to Realization. Birmingham: Windhorse Publications
    1. Anderson B. A., Faulkner M. L., Rilee J. J., Yantis S., Marvel C. L. (2013a). Attentional bias for nondrug reward is magnified in addiction. Exp. Clin. Psychopharmacol. 21 499–506. 10.1037/a0034575
    1. Anderson B. A., Laurent P. A., Yantis S. (2013b). Reward predictions bias attentional selection. Front. Hum. Neurosci. 7:262. 10.3389/fnhum.2013.00262
    1. Anderson B. A., Laurent P. A., Yantis S. (2011). Value-driven attentional capture. Proc. Natl. Acad. Sci. U.S.A. 108 10367–10371. 10.1073/pnas.1104047108
    1. Antrobus J. S. (1968). Information theory and stimulus independent thought. Br. J. Psychol. 59 423–430. 10.1111/j.2044-8295.1968.tb01157.x
    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. Baird B., Mrazek M. D., Phillips D. T., Schooler J. W. (2014). Domain-specific enhancement of metacognitive ability following meditation training. J. Exp. Psychol. Gen. 143 1972–1979. 10.1037/a0036882
    1. Barrett B., Hayney M. S., Muller D., Rakel D., Ward A., Obasi C. N., et al. (2012). Meditation or exercise for preventing acute respiratory infection: a randomized controlled trial. Ann. Fam. Med. 10 337–346. 10.1370/afm.1376
    1. Berridge K. C., Robinson T. E., Aldridge J. W. (2009). Dissecting components of reward: “Liking,” “wanting,” and learning. Curr. Opin. Pharmacol. 9 65–73. 10.1016/j.coph.2008.12.014
    1. Bishop S. R., Lau M., Shapiro S., Carlson L., Anderson N. D., Carmody J., et al. (2004). Mindfulness: a proposed operational definition. Clin. Psychol. Sci. Pract. 11 230–241. 10.1093/clipsy.bph077
    1. Bowen S., Witkiewitz K., Clifasefi S. L., Grow J., Chawla N., Hsu S. H., et al. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders: a randomized clinical trial. JAMA Psychiatry 71 547–556. 10.1001/jamapsychiatry.2013.4546
    1. Braboszcz C., Delorme A. (2011). Lost in thoughts: neural markers of low alertness during mind wandering. Neuroimage 54 3040–3047. 10.1016/j.neuroimage.2010.10.008
    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. Brown K. W., Goodman R. J., Inzlicht M. (2013). Dispositional mindfulness and the attenuation of neural responses to emotional stimuli. Soc. Cogn. Affect. Neurosci. 8 93–99. 10.1093/scan/nss004
    1. Brown K. W., Ryan R. M. (2003). The benefits of being present: mindfulness and its role in psychological well-being. J. Pers. Soc. Psychol. 84 822–848. 10.1037/0022-3514.84.4.822
    1. Buddhaghosa B. (2010). The Path of Purification: Visuddhimagga. Kandy: Buddhist Publication Society
    1. Burg J. M., Michalak J. (2011). The healthy quality of mindful breathing: associations with rumination and depression. Cogn. Ther. Res. 35 179–185. 10.1007/s10608-010-9343-x
    1. Christoff K., Gordon A. M., Smallwood J., Smith R., Schooler J. W. (2009). Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proc. Natl. Acad. Sci. U.S.A. 106 8719–8724. 10.1073/pnas.0900234106
    1. Creswell J. D., Way B. M., Eisenberger N. I., Lieberman M. D. (2007). Neural correlates of dispositional mindfulness during affect labeling. Psychosom. Med. 69 560–565. 10.1097/PSY.0b013e3180f6171f
    1. Cronbach L. J., Meehl P. E. (1955). Construct validity in psychological tests. Psychol. Bull. 52 281–302. 10.1037/h0040957
    1. Davidson R. J., McEwen B. S. (2012). Social influences on neuroplasticity: stress and interventions to promote well-being. Nat. Neurosci. 15 689–695. 10.1038/nn.3093
    1. Diamond A., Lee K. (2011). Interventions shown to aid executive function development in children 4 to 12 years old. Science 333 959–964. 10.1126/science.1204529
    1. Forster S., Lavie N. (2009). Harnessing the wandering mind: the role of perceptual load. Cognition 111 345–355. 10.1016/j.cognition.2009.02.006
    1. Fox K. C. R., Zakarauskas P., Dixon M., Ellamil M., Thompson E., Christoff K. (2012). Meditation experience predicts introspective accuracy. PLoS ONE 7:e45370. 10.1371/journal.pone.0045370
    1. Franklin M. S., Mrazek M. D., Anderson C. L., Smallwood J., Kingstone A., Schooler J. W. (2013). The silver lining of a mind in the clouds: interesting musings are associated with positive mood while mind-wandering. Front. Psychol. 4:583. 10.3389/fpsyg.2013.00583
    1. Gilbert D. T., Wilson T. D. (2009). Why the brain talks to itself: sources of error in emotional prediction. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364 1335–1341. 10.1098/rstb.2008.0305
    1. Hasenkamp W., Wilson-Mendenhall C. D., Duncan E., Barsalou L. W. (2012). Mind wandering and attention during focused meditation: a fine-grained temporal analysis of fluctuating cognitive states. Neuroimage 59 750–760. 10.1016/j.neuroimage.2011.07.008
    1. Hölzel B. K., Carmody J., Vangel M., Congleton C., Yerramsetti S. M., Gard T., et al. (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. Horowitz M. J., Becker S. S. (1973). Cognitive response to erotic and stressful films. Arch. Gen. Psychiatry 29 81–84. 10.1001/archpsyc.1973.04200010058010
    1. Jaeggi S. M., Buschkuehl M., Jonides J., Perrig W. J. (2008). Improving fluid intelligence with training on working memory. Proc. Natl. Acad. Sci. U.S.A. 105 6829–6833. 10.1073/pnas.0801268105
    1. James W. (1890). The Principles of Psychology Vol. 1. New York, NY: Henry Holt; 10.1037/10538-000
    1. Jensen C. G., Vangkilde S., Frokjaer V., Hasselbalch S. G. (2012). Mindfulness training affects attention–or is it attentional effort? J. Exp. Psychol. Gen. 141 106–123. 10.1037/a0024931
    1. Jiang Y., Costello P., Fang F., Huang M., He S. (2006). A gender- and sexual orientation-dependent spatial attentional effect of invisible images. Proc. Natl. Acad. Sci. U.S.A. 103 17048–17052. 10.1073/pnas.0605678103
    1. Kane M. J., Hambrick D. Z., Tuholski S. W., Wilhelm O., Payne T. W., Engle R. W. (2004). The generality of working memory capacity: a latent-variable approach to verbal and visuospatial memory span and reasoning. J. Exp. Psychol. Gen. 133 189–217. 10.1037/0096-3445.133.2.189
    1. Klinger E., Cox W. M. (1987). Dimensions of thought flow in everyday life. Imagin. Cogn. Pers. 7 105–128. 10.2190/7K24-G343-MTQW-115V
    1. Killingsworth M. A., Gilbert D. T. (2010). A wandering mind is an unhappy mind. Science 330 932. 10.1126/science.1192439
    1. Lavie N., Hirst A., de Fockert J. W., Viding E. (2004). Load theory of selective attention and cognitive control. J. Exp. Psychol. Gen. 133 339–354. 10.1037/0096-3445.133.3.339
    1. Levinson D. B., Smallwood J., Davidson R. J. (2012). The persistence of thought: evidence for a role of working memory in the maintenance of task-unrelated thinking. Psychol. Sci. 23 375–380. 10.1177/0956797611431465
    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. MacCoon D. G., Imel Z. E., Rosenkranz M. A., Sheftel J. G., Weng H. Y., Sullivan J. C., et al. (2012). The validation of an active control intervention for Mindfulness Based Stress Reduction (MBSR). Behav. Res. Ther. 50 3–12. 10.1016/j.brat.2011.10.011
    1. McKiernan K. A., D’Angelo B. R., Kaufman J. N., Binder J. R. (2006). Interrupting the “stream of consciousness”: an fMRI investigation. Neuroimage 29 1185–91. 10.1016/j.neuroimage.2005.09.030
    1. McNab F., Varrone A., Farde L., Jucaite A., Bystritsky P., Forssberg H., et al. (2009). Changes in cortical dopamine D1 receptor binding associated with cognitive training. Science 323 800–802. 10.1126/science.1166102
    1. McVay J. C., Kane M. J. (2009). Conducting the train of thought: working memory capacity, goal neglect, and mind wandering in an executive-control task. J. Exp. Psychol. Learn. Mem. Cogn. 35 196–204. 10.1037/a0014104
    1. Mrazek M. D., Franklin M. S., Phillips D. T., Baird B., Schooler J. W. (2013). Mindfulness training improves working memory capacity and GRE performance while reducing mind wandering. Psychol. Sci. 24 776–781. 10.1177/0956797612459659
    1. Mrazek M. D., Smallwood J., Schooler J. W. (2012). Mindfulness and mind-wandering: finding convergence through opposing constructs. Emotion 12 442–448. 10.1037/a0026678
    1. Nielsen L., Kaszniak A. W. (2006). Awareness of subtle emotional feelings: a comparison of long-term meditators and nonmeditators. Emotion 6 392–405. 10.1037/1528-3542.6.3.392
    1. Redick T. S., Shipstead Z., Harrison T. L., Hicks K. L., Fried D. E., Hambrick D. Z., et al. (2013). No evidence of intelligence improvement after working memory training: a randomized, placebo-controlled study. J. Exp. Psychol. Gen. 142 359–379. 10.1037/a0029082
    1. Robertson I. H., Manly T., Andrade J., Baddeley B. T., Yiend J. (1997). “Oops!”: performance correlates of everyday attentional failures in traumatic brain injured and normal subjects. Neuropsychologia 35 747–758. 10.1016/S0028-3932(97)00015-8
    1. Sahdra B. K., Shaver P. R., Brown K. W. (2010). A scale to measure nonattachment: a Buddhist complement to Western research on attachment and adaptive functioning. J. Pers. Assess. 92 116–127. 10.1080/00223890903425960
    1. Schooler J. W., Smallwood J., Christoff K., Handy T. C., Reichle E. D., Sayette M. A. (2011). Meta-awareness, perceptual decoupling and the wandering mind. Trends Cogn. Sci. 15 319–326. 10.1016/j.tics.2011.05.006
    1. Schwarz N., Clore G. L. (1983). Mood, misattribution, and judgments of well-being: informative and directive functions of affective states. J. Pers. Soc. Psychol. 45 513–523. 10.1037/0022-3514.45.3.513
    1. Singer J., Antrobus J. (1972). “Day dreaming, imaginal processes, and personality: a normative study,” in The Function and Nature of Imagery ed. Sheehan P. (New York: Academic Press) 175–202
    1. Smallwood J., Beach E., Schooler J. W., Handy T. C. (2008). Going AWOL in the brain: mind wandering reduces cortical analysis of external events. J. Cogn. Neurosci. 20 458–469. 10.1162/jocn.2008.20037
    1. Tang Y.-Y., Ma Y., Wang J., Fan Y., Feng S., Lu Q., et al. (2007). Short-term meditation training improves attention and self-regulation. Proc. Natl. Acad. Sci. U.S.A. 104 17152–17156. 10.1073/pnas.0707678104
    1. Tang Y.-Y., Tang R., Posner M. I. (2013). Brief meditation training induces smoking reduction. Proc. Natl. Acad. Sci. U.S.A. 110 13971–13975. 10.1073/pnas.1311887110
    1. Unsworth N., Heitz R. P., Schrock J. C., Engle R. W. (2005). An automated version of the operation span task. Behav. Res. Methods 37 498–505. 10.3758/BF03192720
    1. Watson D., Clark L. A., Tellegen A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Pers. Soc. Psychol. 54 1063–1070. 10.1037/0022-3514.54.6.1063
    1. Wilson T. D., Reinhard D. A., Westgate E. C., Gilbert D. T., Ellerbeck N., Hahn C., et al. (2014). Social psychology. Just think: the challenges of the disengaged mind. Science 345 75–77. 10.1126/science.1250830
    1. Wyvell C. L., Berridge K. C. (2000). Intra-accumbens amphetamine increases the conditioned incentive salience of sucrose reward: enhancement of reward “wanting” without enhanced “liking” or response reinforcement. J. Neurosci. 20 8122–8130
    1. Zeidan F., Martucci K. T., Kraft R. A., Gordon N. S., McHaffie J. G., Coghill R. C. (2011). Brain mechanisms supporting the modulation of pain by mindfulness meditation. J. Neurosci. 31 5540–5548. 10.1523/JNEUROSCI.5791-10.2011

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