Skip to main content

HYPOTHESIS AND THEORY article

Front. Psychol., 27 October 2014
Sec. Cognition
This article is part of the Research Topic Neuroimaging and Neuropsychology of Meditation states View all 17 articles

Mechanisms of white matter change induced by meditation training

  • 1Department of Psychology, University of Oregon, Eugene, OR, USA
  • 2Department of Psychological Sciences, Texas Tech University, Lubbock, TX, USA
  • 3Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, USA

Training can induce changes in specific brain networks and changes in brain state. In both cases it has been found that the efficiency of white matter as measured by diffusion tensor imaging is increased, often after only a few hours of training. In this paper we consider a plausible molecular mechanism for how state change produced by meditation might lead to white matter change. According to this hypothesis frontal theta induced by meditation produces a molecular cascade that increases myelin and improves connectivity.

In recent years there have been many reports of changes in white matter induced by training of human adults (see Zatorre et al., 2012 for a summary). Such changes usually involve training of specific networks involved in sensory discrimination, motor activity, or working memory. We call this form of training network training because it uses a specific task to induce changes in the underlying brain network. A different form of training involves training the brain state as occurs in the use of aerobic exercise or meditation, which we call state training (Tang and Posner, 2009; Tang et al., 2012b).

Our studies used a form of mindfulness meditation, integrative body-mind training (IBMT) in comparison with relaxation training (RT), which served as an active control (Tang et al., 2007). We used diffusion tensor imaging (DTI) before and after 4 weeks of training with IBMT and RT (Tang et al., 2010). We found significantly greater increases in fractional anisotropy (FA) following IBMT than after the RT control. The training effect was in white matter pathways connecting the anterior cingulate cortex (ACC) to other brain areas (Tang et al., 2010). We also found that after 2 weeks the FA change was entirely due to axial diffusivity (AD), which declined significantly more following IBMT than RT (Tang et al., 2012a). AD is thought to relate to changes in axonal density (Kumar et al., 2010, 2012). After 4 weeks FA involved changes in both axial and radial diffusivity (RD). RD is thought to reflect myelination (Song et al., 2002, 2003). This evidence suggests that meditation can influence brain areas known to be involved in self control in children and adults (Posner and Rothbart, 2007).

How can white matter change in as little as 2–4 weeks of training in meditation? In this paper we use evidence from a variety of human and animals studies to examine how meditation influences frontal brain rhythms, and the consequence of these rhythms on protease secretion that influence glial cells in forming the basis of white matter change. These mechanisms are summarized in Figure 1 and elaborated below. We believe that they represent one way changes in brain state induced by meditation could lead to the observed changes in white matter as shown by DTI.

FIGURE 1
www.frontiersin.org

FIGURE 1. Summary cartoon of major areas of change in the formation of white matter due to training. (AD, axial diffusivity; RD, radial diffusivity).

Increased Frontal Theta

Frontal theta has been regarded as a mechanism for recognizing the need for cognitive control and providing information to other brain areas (Cavanagh and Frank, 2014). The meditative state produces an increase in the EEG theta rhythm over frontal electrodes consistent with a generator in the anterior cingulate (Cahn and Polich, 2006; Chiesa and Serretti, 2010). Increased frontal midline theta is thought to reflect positive emotional state, internalized attention and autonomic nervous activity. Using IBMT with 1 week of training we recently replicated this result in frontal midline electrodes consistent with ACC activation (Tang et al., 2009; Xue et al., 2014). Theta oscillations may also induce changes in posterior alpha rhythms in humans (Song et al., 2014).

Theta rhythm in the ACC is also triggered by the violation of expectation such as when a person is presented with a novel event (Berger, 2012, p. 30). It has also been found that presenting a novel event within a visual search paradigm tends to recruit the ACC (Shulman et al., 2009). We have speculated that the presentation of a novel visual event may serve to foster the connectivity of the ACC, which has been found to increase during development of infants and young children (Posner et al., 2012).

Bursts of transcranial magnetic stimulation (TMS) in the theta range have been shown to induce changes in plasticity in the human motor cortex that outlast the stimulation (Huang et al., 2006). Recently theta burst rTMS was shown to increase cortical excitability and resting state connectivity in the motor system in a dose dependent manner (Nettekoven et al., 2014). Similar theta burst TMS has been shown to influence cognitive control networks including the ACC (Gratton et al., 2013). In a rat model repeated theta burst stimulation induced changes in calbindin protein in the frontal lobe thus reducing inhibitory control of neuronal spiking (Volz et al., 2013). These findings may provide the opportunity to test the role of theta in animal models.

Induction of Protease Calpain

How can theta activity in mid frontal brain areas be related to changes in white matter connecting the ACC to other brain areas? Bouts of high frequency neuronal firing synchronized to theta are known to activate the calcium sensitive protease calpain, an event that causes substantial changes to the neuronal sub-membrane cytoskeleton (Vanderklish et al., 1995, 2000). Because they are structural in nature, the modifications produced by the protease can be very long lasting. These effects are usually discussed in terms of synapses and the extraordinarily persistent long-term potentiation effect (Lynch, 1998). This role for calpain in learning and memory through inducing synaptic plasticity has been disputed, but recent studies seem to indicate that it plays an important role in learning and memory (Zadran et al., 2010). Studies of drugs reducing calpain in mice (Amini et al., 2013) show impairment of dendritic spines and of long term potentiation.

The evidence for the role of calpain in learning and memory supports the observation that it can induce axonal growth and thus foster brain connectivity. Notably, calpain is also found in axons where it appears to play an important role in growth (Qin et al., 2010). It has been known for some time that action potentials trigger an influx of calcium into axons (e.g., Zhang et al., 2006), with recent work demonstrating activity-driven stimulation of calpain (Huff et al., 2011). The latter event, which modifies the same primary membrane cytoskeletal protein affected by theta bursts at synapses (Vanderklish et al., 2000), is followed by a substantial change to the myelin sheath (Huff et al., 2011).

Moderate stimulation of the protease during repeated, prolonged episodes of theta could, therefore, (i) foster brain connectivity and (ii) alter the axon-glia relationship; together, these lasting effects constitute plausible contributors to the results obtained with DTI. Of interest, recent work emphasizes the possibility that changes in oligodendrocytes contribute importantly to memory and cognition (Fields, 2013).

Rapid White Matter Changes

Traditionally white matter has been thought not to change after the period in development when axonal migration and myelination have taken place. However, this concept has been changing. For example, adult mice show reduced myelin thickness in prefrontal cortex induced by social isolation (Liu et al., 2012). The loss of myelin in the isolated mice, was associated with the presence of oligodendrocytes with immature nuclear chromatin. Beirowski (2013) argues that in adults axons are enwrapped by glia, including oligodendrocytes, with which they closely interact to form a unique symbiotic unit, a key contributor to the normal function of axonal connections. Indeed parts of the glia may respond to axonal damage within a few minutes (Guertin et al., 2005). Two key components of this final pathway could be axonal transport failure and calcium influx that among other targets activate cysteine proteases such as calpains whose inhibition also confers protection of injured axons in vitro and in vivo (Ma, 2013; Ma et al., 2013). While calpains are often associated with rapid release after axonal injury, they have also been associated with axonic growth within the axon rich intermediate zone of the cortex (Spira et al., 2003; Yang et al., 2011). Moreover, blocking of these molecular events interferes with this growth (Yang et al., 2011). Spira et al. (2003, p. 311) suggest “in light of the present findings, it would be interesting to examine the role of calpain ... in events that lead to morphological restructuring of neurons in relation to plasticity such as in learning and in memory acquisition processes.” To our knowledge these critical studies have not yet been done, but as described above, calpain provides a viable possibility for white matter changes in brain state training.

Changes in axonal growth or myelination via calpain are not the only molecular route to alteration of myelin. For example, in one study mutant mice without erbB signaling from Neuregulin 1 showed demyelination and thinner myelin sheaths as adults (Chen et al., 2006). As expected these mice showed slower conduction velocities that would result in slower reaction times. However, these effects depend upon a mutation and would not result from learning. In any case, our goal is more to describe one possible route between training effects and white matter changes and we think other mechanisms are likely. Other potential mechanisms of white matter change are discussed in a recent review (Zatorre et al., 2012), but they are not clearly related to meditation effects.

Training Induced White Matter Changes

Magnetic resonance imaging (MRI) cannot examine molecular events. However, the directionality of water molecules along white matter pathways (FA) can be measured and is believed to reflect the efficiency of connections. Changes in FA found in many learning studies can be linked to a plausible set of events including increased frontal theta and activation of the protease calpain which in turns works through glia cells to change myelin. Moreover the ability to impose the theta rhythm by brain stimulation may allow testing of its effects without extensive training.

A number of recent learning studies have shown FA changes that may take advantage of the molecular cascade that we have been describing. Most of these studies have involved learning of specific networks, for example, working memory training (Takeuchi et al., 2010), or juggling (Scholz et al., 2009). The periods of training run from a few hours to many months. In most studies of network training these effects are said to lead to an increase in myelination and changes in RD. However, our studies of meditation have shown that within 2 weeks of training there are changes in AD, most often associated with axonal density, and after 4 weeks both AD and RD are changed, suggesting both axonal density and myelin changes. We do not know if the differences between studies relate to state training vs. network training or other differences. It is possible that the study of calpain and other possible pathways for inducing these rapid changes will provide a better understanding of the time course of various forms of increased efficiency in the connectivity between brain areas.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This research was supported in part by NIH through HD grant 060563 to Georgia State University and an Office of Naval Research grant to the University of Oregon. The authors appreciate the help of Mary K. Rothbart and Pascale Voelker in editing this manuscript.

References

Amini, M., Ma, C. L., Farazifard, R., Zhu, G., Zhang, Y., Vanderluit, J.,et al. (2013). Conditional disruption of calpain in the CNS alters dendritic morphology, impairs LTP and promotes neuronal survival following injury. J. Neurosci. 33, 5773–5784. doi: 10.1523/JNEUROSCI.4247-12.2013

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Beirowski, B. (2013). Concepts for regulation of axon integrity by enwrapping glia. Front. Cell. Neurosci. 7:256. doi: 10.3389/fncel.2013.00256

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Berger, A. (2012). Self Regulation: Brain Cognition and Development. Washington, DC: American Psychological Association Books.

Google Scholar

Cahn, B. R., and Polich, J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol. Bull. 132, 180–211. doi: 10.1037/0033-2909.132.2.180

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Cavanagh, J. F., and Frank, M. J. (2014). Frontal theta as a mechanism for cognitive control. Trends Cogn. Sci. 18, 414–421. doi: 10.1016/j.tics.2014.04.012

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Chen, S., Velardez, M. O., Warot, X., Yu, Z. X., Miller, S. J., Cros, D.,et al. (2006). Neuregulin 1–erbb signaling is necessary for normal myelination, and sensory function. J. Neurosci. 226, 3079–3086. doi: 10.1523/JNEUROSCI.3785-05.2006

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Chiesa, A., and Serretti, A. A. (2010). Systematic review of neurobiological, and clinical features of mindfulness meditations. Psychol. Med. 40, 1239–1252. doi: 10.1017/S0033291709991747

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Fields, R. D. (2013). Changes in brain structure during learning: fact or artifact? Reply to Thomas and Baker. Neuroimage 73, 260–264. doi: 10.1016/j.neuroimage.2012.08.085

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Gratton, C., Lee, T. G., Nomura, E. M., and D’Espisito, M. (2013). The effect of theta burst TMS on cognitive control networks measured with resting state fMRI. Front. Syst. Neurosci. 7:124. doi: 10.3389/fnsys.2013.00124

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Guertin, A. D., Zhang, D. P., Mak, K. S., Alberta, J. A., and Kim, H. A. (2005). Microanatomy of axon/glial signaling during Wallerian degeneration. J. Neurosci. 25, 3478–3487. doi: 10.1523/JNEUROSCI.3766-04.2005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Huang, Y.-Z., Edwards, M. J., Rounis, E., Bhatia, K. P., and Rothwell, J. C. (2006). Theta burst stimulation of the human motor cortex. Neuron 45, 201–206. doi: 10.1016/j.neuron.2004.12.033

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Huff, T. B., Shi, Y., Sun, W., Wu, W., Shi, R., and Cheng, J.-X. (2011). Real-time CARS imaging reveals a calpain-dependent pathway for paranodal myelin retraction during high-frequency stimulation. PLoS ONE 6:e17176. doi: 10.1371/journal.pone.0017176

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Kumar, R., Macey, P. M., Woo, M. A., and Harper, R. M. (2010). Rostral brain axonal injury in congenital central hypoventilation syndrome. J. Neurosci. Res. 88, 2146–2154. doi: 10.1002/jnr.22385

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Kumar, R., Nguyen, H. D., Macey, P. M., Woo, M. A., and Harper, R. M. (2012). Regional brain axialand radial diffusivity changes during development. J. Neurosci. Res. 90, 346–355. doi: 10.1002/jnr.22757

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Liu, I., Dietz, K., DeLoyht, J. M., Pedre, X., Kelkar, D., Kaur, I.,et al. (2012). Impaired adult myelination in the prefrontal cortex of socially isolated mice. Nat. Neurosci. 15, 1621–1624. doi: 10.1038/nn.3263

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Lynch, G. (1998). Memory, and the brain: unexpected chemistries, and a new pharmacology. Neurobiol. Learn. Mem. 70, 82–100. doi: 10.1006/nlme.1998.3840

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Ma, M. (2013). Role of calpains in the injury-induced dysfunction and degeneration of the mammalian axon. Neurobiol. Dis. 60, 61–79. doi: 10.1016/j.nbd.2013.08.010

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Ma, M., Ferguson, T. A., Schoch, K. M., Li, J., Qian, Y., Shofer, F. S.,et al. (2013). Calpains mediate axonal cytoskeleton disintegration during Wallerian degeneration. Neurobiol. Dis. 56, 34–46. doi: 10.1016/j.nbd.2013.03.009

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Nettekoven, C., Volz, L. J., Kutscha, M., Pool, E.-M., Rehme, A. K., Eickhoff, S. B.,et al. (2014). Deose-dependent effects of theta burst rTMS on cortical excitability and resting-state connection of the human motor system. J. Neurosci. 34, 6849–6859. doi: 10.1523/JNEUROSCI.4993-13.2014

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Posner, M. I., and Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annu. Rev. Psychol. 58, 1–23. doi: 10.1146/annurev.psych.58.110405.085516

CrossRef Full Text | Google Scholar

Posner, M. I., Rothbart, M. K., Sheese, B. E., and Voelker, P. (2012). Control networks and neuromodulators of early development. Dev. Psychol. 48, 827–835. doi: 10.1037/a0025530

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Qin, Q., Liao, G., Baudry, M., and Bi, X. (2010). Role of calpain-mediated p. 53 truncation in semaphorin 3A-induced axonal growth regulation. Proc. Natl. Acad. Sci. U.S.A. 107, 13883–13887. doi: 10.1073/pnas.1008652107

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Scholz, J., Klein, M. C., Behrens, T. E., and Johansen-Berg, H. (2009). Training induces changes in white-matter architecture. Nat. Neurosci. 12, 1370–1371. doi: 10.1038/nn.2412

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Shulman, G. L., Astafiev, S. V., Franke, D., Pope, D. L. W., Snyder, A. Z., McAvoy, M. P.,et al. (2009). Interaction of stimulus-driven reorienting and expectation in ventral and dorsal frontoparietal and basal ganglia-cortical networks. J. Neurosci. 29, 4392–4407. doi: 10.1523/JNEUROSCI.5609-08.2009

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Song, K., Meng, M., Chen, L., Zhou, K., and Luo, H. (2014). Behavioral oscillations in attention: rhythmic alpha pulses mediated through the theta band. J. Neurosci. 34, 4837–4844. doi: 10.1523/JNEUROSCI.4856-13.2014

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Song, S. K., Sun, S. W., Ju, W. K., Lin, S. J., Cross, A. H., and Neufeld, A. H. (2003). Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. Neuroimage 20, 1714–1722. doi: 10.1016/j.neuroimage.2003.07.005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Song, S. K., Sun, S. W., Ramsbottom, M. J., Chang, C., Russell, J., and Cross, A. H. (2002). Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage 17, 1429–1436. doi: 10.1006/nimg.2002.1267

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Spira, M. E., Oren, R., Dormann, A., and Gitler, D. (2003). Critical calpain-dependent ultrastructural alterations underlie the transformation of an axonal segment into a growth cone after axotomy of cultured Aplysia neurons. J. Comp. Neurol. 457, 293–312. doi: 10.1002/cne.10569

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Takeuchi, H., Sekiguchi, A., Taki, Y., Yokoyama, S., Yomogida, Y., Komuro, N.,et al. (2010). Training of working memory impacts structural connectivity. J. Neurosci. 30, 3297–3303. doi: 10.1523/JNEUROSCI.4611-09.2010

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tang, Y., Lu, Q., Geng, X., Stein, E. A., Yang, Y., and Posner, M. I. (2010). Short term mental training induces white-matter changes in the anterior cingulate. Proc. Natl. Acad. Sci. U.S.A. 107, 16649–16652. doi: 10.1073/pnas.1011043107

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tang, Y., and Posner, M. I. (2009). Attention training and attention state training. Trends Cogn. Sci. 13, 222–227. doi: 10.1016/j.tics.2009.01.009

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tang, Y. Y., Lu, Q., Fan, M., Yang, Y., and Posner, M. I. (2012a). Mechanisms of white matter changes induced by meditation. Proc. Natl. Acad. Sci. U.S.A. 109, 10570–10574. doi: 10.1073/pnas.1207817109

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tang, Y. Y., Rothbart, M. K., and Posner, M. I. (2012b). Neural correlates of establishing, maintaining, and switching brain states. Trends Cogn. Sci. 16, 330–337. doi: 10.1016/j.tics.2012.05.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

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. doi: 10.1073/pnas.0707678104

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tang, Y. Y., Ma, Y., Fan, Y., Feng, H., Wang, J., Feng, S.,et al. (2009). Central and autonomic nervous system interaction is altered by short term meditation. Proc. Natl. Acad. Sci. U.S.A. 106, 8865–8870. doi: 10.1073/pnas.0904031106

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Vanderklish, P., Saido, T. C., Gall, C., Arai, A., and Lynch, G. (1995). Proteolysis of spectrin by calpain accompanies theta burst stimulation in cultured hippocampal slices. Brain Res. 32, 25–35. doi: 10.1016/0169-328X(95)00057-Y

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Vanderklish, P. W., Krushel, L. A., Holst, B. H., Gally, J. A., Crossin, K. L., and Edelman, G. M. (2000). Marking synaptic activity in dendritic spines with a calpain substrate exhibiting fluorescence resonance energy transfer. Proc. Natl. Acad. Sci. U.S.A. 97, 2253–2258. doi: 10.1073/pnas.040565597

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Volz, L. J., Benali, A., Mix, A., Neuracher, U., and Funke, K. (2013). Dose-dependence of changes in cortical protein expression induced with repeated transcarnial magnetic theta-burst stimulation in the rat. Brain Stimul. 6, 598–606. doi: 10.1016/j.brs.2013.01.008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Xue, S., Tang, Y. Y., Tang, R., and Posner, M. I. (2014). Short-term meditation induces changes in brain resting EEG theta networks. Brain Cogn. 87, 1–6. doi: 10.1016/j.bandc.2014.02.008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Yang, G. Y., Liang, B., Zhu, J., and Luo, Z. G. (2011). Calpain activation by Wingless-type murine mammary tumor virus integration site family, member 5A (Wnt5a) promotes axonal growth. J. Biol. Chem. 286, 6566–6576. doi: 10.1074/jbc.M110.196568

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Zadran, S., Jourdi, H., Rostamiani, K., Qin, Q., Bi, X., and Baudry, M. (2010). Brain-derived neurotrophic factor and epidermal growth factor activate neuronal m-calpain via mitogen-activated protein kinase-dependent phosphorylation. J. Neurosci. 30, 1086–1095. doi: 10.1523/JNEUROSCI.5120-09.2010

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Zatorre, R. J., Fields, R. D., and Johansen-Berg, H. (2012). Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat. Neurosci. 15, 528–536. doi: 10.1038/nn.3045

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Zhang, C.-L., Wilson, J. A., Justin Williams, J., and Chiu, S. Y. (2006). Action potentials induce uniform calcium influx in mammalian myelinated optic nerves. J. Neurophysiol. 96, 695–709. doi: 10.1152/jn.00083.2006

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Keywords: theta rhythm, myelination, diffusion tensor imaging, meditation, fractional anisotropy (FA)

Citation: Posner MI, Tang Y-Y and Lynch G (2014) Mechanisms of white matter change induced by meditation training. Front. Psychol. 5:1220. doi: 10.3389/fpsyg.2014.01220

Received: 19 August 2014; Accepted: 08 October 2014;
Published online: 27 October 2014.

Edited by:

Barbara Tomasino, University of Udine, Italy

Reviewed by:

Juan Lupiáñez, University of Granada, Spain
Gregoire Borst, Université Paris Descartes, France

Copyright © 2014 Posner, Tang and Lynch. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Michael I. Posner, Department of Psychology, University of Oregon, Eugene, OR 97403, USA e-mail: mposner@uoregon.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.