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Nilkamal Singh, Shirley Telles, "Neurophysiological Effects of Meditation Based on Evoked and Event Related Potential Recordings", BioMed Research International, vol. 2015, Article ID 406261, 11 pages, 2015. https://doi.org/10.1155/2015/406261
Neurophysiological Effects of Meditation Based on Evoked and Event Related Potential Recordings
Evoked potentials (EPs) are a relatively noninvasive method to assess the integrity of sensory pathways. As the neural generators for most of the components are relatively well worked out, EPs have been used to understand the changes occurring during meditation. Event-related potentials (ERPs) yield useful information about the response to tasks, usually assessing attention. A brief review of the literature yielded eleven studies on EPs and seventeen on ERPs from 1978 to 2014. The EP studies covered short, mid, and long latency EPs, using both auditory and visual modalities. ERP studies reported the effects of meditation on tasks such as the auditory oddball paradigm, the attentional blink task, mismatched negativity, and affective picture viewing among others. Both EP and ERPs were recorded in several meditations detailed in the review. Maximum changes occurred in mid latency (auditory) EPs suggesting that maximum changes occur in the corresponding neural generators in the thalamus, thalamic radiations, and primary auditory cortical areas. ERP studies showed meditation can increase attention and enhance efficiency of brain resource allocation with greater emotional control.
Meditation has been described as a training in awareness which over long periods of time produces definite changes in perception, attention, and cognition. The neurophysiological correlates of meditation have been determined by electrophysiological recordings (from the 1960s to the present time) and more recently by neuroimaging studies (from the 1980s till the present time). Among electrophysiological variables sensory evoked potentials (EPs) provide a relatively noninvasive way of studying changes in specific sensory pathways during meditation . It is believed that meditation alters cortical functioning and corticofugal controls which may significantly modify the processing of information at brainstem and thalamic levels [2–4]. Hence short, mid, and long latency EPs would be expected to help map changes from the brainstem up to the association or secondary cortical areas . The present review was undertaken to determine which modalities and latencies of EPs were recorded in meditation and the conclusions derived.
EPs are evoked spontaneously with repetitive sensory stimulation and can provide information about brain resource allocation and the speed of stimulus processing, whereas event-related potentials (ERPs) are not spontaneous but elicited with cognitive task processing [6–8]. Hence ERPs can provide additional information regarding the discriminative ability of the brain and neurocognitive processing related to shifting attention. The present review also discusses studies which evaluated the effect of meditation on different modalities of ERPs.
2.1. Search Strategy for Meditation and Evoked Potential Studies
The database searched was PubMed using the search words “Meditation, Evoked Potentials.” Fifty-eight citations were obtained from PubMed. To be included in this review articles had to be written in English (8 articles were excluded as they were written in other languages). Articles were excluded from the review if (i) they reported event-related potentials (ERPs) rather than EPs (19 articles were excluded for this reason) and (ii) they did not deal directly with the subject of meditation (5 articles were excluded for this reason), (iii) the articles were not experimental studies but were review articles or descriptive (5 articles were excluded for this reason), and (iv) the study recorded variables other than EPs such as EEG, MRI, and spectroscopy studies (10 articles were excluded for this reason). Eleven articles reported evoked potential changes in different meditations and are reviewed here for their study design, method of meditation, and conclusions derived.
2.2. Search Strategy for Meditation and Event-Related Potential Studies
The databases searched were PubMed using the search words “Meditation, Event-Related Potentials.” Sixty citations were obtained from PubMed. To be included in this review articles had to be written in English (8 articles were excluded as they were written in other languages). Articles were excluded from the review if (i) they reported evoked potentials (EPs) rather than event-related potentials (ERPs) (15 articles were excluded for this reason) and (ii) they did not deal directly with the subject of meditation (3 articles were excluded for this reason), (iii) the articles were not experimental studies but were review articles or descriptive (5 articles were excluded for this reason), and (iv) the study recorded variables other than ERPs such as EEG, MRI, and spectroscopy studies (11 articles were excluded for this reason). Details of one study were not available. Seventeen articles reported event-related potential changes in different meditations and are reviewed here for their study design, method of meditation, and conclusions derived.
2.3. Method of Review
The whole papers were obtained and the details related to (i) stimulus modality for EPs or nature of the ERP, (ii) sweep width or latency of the EPs, (iii) type of meditation, (iv) study design, and (v) changes (if any) in EP or ERP components and the corresponding changes in the neural generators were noted.
3.1. Details of the Evoked Potential Studies
Out of the eleven studies 10 used auditory stimuli while one used visual stimuli. With regard to sweep width out of the nine studies two reported short latency EPs, four mid latency EPs, two long latency EPs, and one long latency visual evoked potential (LLVEP) and there were also two combinations of (i) short latency and mid latency auditory EPs and (ii) short, mid, and long latency auditory EPs. Details about the components of EPs are given in Table 1.
The meditation techniques studied were all eyes closed practices; two were transcendental meditation (TM), two Qigong, five meditations on the Sanskrit syllable “OM,” one a moving meditation called cyclic meditation, and one Sahaja yoga meditation. Apart from the moving meditation the other eight techniques directed the thoughts in a fixed pattern for all practitioners towards either a single syllable or phrase or a set of thoughts. In the moving meditation as well, the sequence of thoughts was fixed and played on a CD .
Hence in all the studies the meditation techniques involved directing the attention in a specific way in all practitioners. The next point considered was the study design which included the controls used.
The range of experience in meditation was from naïve to twenty years. The sample size varied widely in the nine studies with a range between five and sixty practitioners and group average ± S.D. was .
3.2. Details of the Event-Related Potential Studies
Out of the seventeen studies four used auditory oddball paradigm, three used the attentional blink task, two used mismatched negativity, two used affective picture viewing, one used global-to-local target task, one used the Stroop task, one used visual A-X continuous performance task, one used row/column speller, one used anticipatory and pain evoked ERPs, and one used discrimination of the imagery of the hand movement.
The meditation techniques used were Vipassana meditation in six studies, Sahaja yoga meditation, open monitoring meditation, Sudarshan Kriya yoga meditation, musical meditation, meditative mindfulness, cyclic meditation, mindfulness based cognitive therapy one each in seven studies, and two mixed traditions and 2 did not specify the meditation techniques used. All meditation techniques were performed with eyed closed.
3.3. Observations Common to Both EP and ERP Research in Meditation
In meditation research it is often difficult to find an appropriate control group which does not practice meditation but is otherwise comparable to the meditation group in other ways. This is because meditators often have other changes in their lifestyle such as abstaining from caffeine, nicotine, and other stimulating substances, different hours of rising and sleeping, and other differences. For this reason in some studies the meditators themselves are assessed under identical conditions on another day as a control, which may be described as the self-as-control .
This design was followed in four of the EP studies which are presented in Table 2 [5, 11–13]. There were two single group studies [1, 14]. These were the earliest studies on evoked potentials and meditation. The absence of a comparison or control state or group is an obvious disadvantage, as the effect of time during a session can be expected to influence the evoked potential components and the meditation effect would not be separated from this. In five other papers [15–19] the approach taken was to have separate groups of participants. In only one trial  the participants were randomized as three groups. The advantage of the separate groups design over the self-as-control is that nonmeditators would not get inadvertently into meditation which is a disadvantage of the self-as-control design, where experienced meditators may get into the meditative state automatically, even during a control session.
Out of the seventeen ERP studies, 12 studies had a two-group design, four studies had a self-as-control design, and one had mixed design in which the study was conducted in two phases, phase 1 was a cross sectional study and phase 2 was a longitudinal study. This is described in Table 3. The disadvantages and advantages are comparable to those described above for EP studies. With ERP studies there is an additional point; since the participants are given a task it is usual to record before and after meditation, not during meditation, as doing the task would interfere with meditation.
3.4. Results of EPs
3.4.1. Auditory Evoked Potentials
Discussing the short latency or brainstem auditory evoked potentials first, there were three studies. In the earliest study  the peak latency of wave V which corresponds to the inferior colliculus varied with the intensity of the stimuli and hence could not be considered as an effect of the transcendental meditation (TM) practiced. In the second study which reported short latency auditory evoked potentials in Qigong meditators  there was a significant increase in the peak amplitudes of waves I to V of short latency auditory evoked potentials. An increase in amplitude is suggestive of recruitment of increased neurons in the underlying neural generators . This suggested that Qigong meditation activates areas in the brainstem. There was no change in short latency auditory evoked potentials in patients with epilepsy who practiced Sahaja yoga possibly because they were novices to meditation . In the other study which reported changes in short latency auditory evoked potentials the peak latency of wave V increased during random thinking, focusing and meditative focusing, but not during meditation . An increase in peak latency signifies delayed transmission through the respective neural generators , in this case located in the brain stem. Hence it would appear as if random thinking, focusing, and meditative focusing all delay auditory information transmission at the brainstem level but this does not happen during meditation on “OM.”
The mid latency auditory evoked potentials correspond to neural generators in the thalamus, primary auditory cortex, and Haschl’s gyrus [2–4]. With Qigong meditation the amplitudes of Na and Pa components decreased during meditation . The Pa wave peak amplitude also decreased during meditation on “OM” in sixty practitioners  but there was an increase in peak amplitude of Na wave during meditation on “OM” in a separate study . The Na wave is believed to be due to activity at the mesencephalic and diencephalic level  and the Pa wave corresponds to activity at the superior temporal gyrus . A third component of the mid latency auditory evoked potentials is the Nb wave. This wave appears relatively localized in the dorso-posterior-medial area of Heschl’s gyrus, that is, the primary auditory cortex . The Nb wave peak amplitude increased and peak latencies of Pa and Nb waves decreased after the moving meditation called cyclic meditation (CM), which incorporates movement . The peak latency of Nb wave reduced during meditation on “OM” as well . Hence the moving meditation altered the auditory pathway at the level of superior temporal gyrus and Heschl’s gyrus with a delay in auditory transmission despite an increase in number of neurons recruited. During meditation on “OM” the delay in auditory transmission was found only in the dorso-posterior-medial area of Heschl’s gyrus.
Long latency auditory evoked potentials showed no significant change in an early study on transcendental meditation practitioners . The P2 component showed a decrease in peak amplitude during Qigong meditation and a decrease in peak latency during meditation on “OM.” The P2 wave partly reflects auditory output of the mesencephalic activation system [24, 25]. From MEG and EEG data based on depth electrodes in patients, the neural generators for the P2 component were localized in the planum temporale as well as the auditory association complex (Brodmann area 22) [26–29]. Also it is speculated that the P2 component may receive contributions from cortical areas in the depth of the Sylvian fissure. Hence this area, which is associated with complex auditory functions, changes during both Qigong and OM meditations.
3.4.2. Summary of Changes in Auditory Evoked Potentials
Out of the four studies which evaluated short latency auditory evoked potentials changes occurred in brainstem evoked potentials only in Qigong , not in transcendental meditation , in Sahaja yoga , or in “OM” meditation . With respect to mid latency auditory evoked potentials assessed in four meditations changes were seen in all four meditations [5, 12, 15, 17–19], that is, Qigong, Sahaja yoga, meditation on “OM,” and cyclic meditation. This suggests that meditation modifies neural generators at the level of specific thalamic nuclei, thalamic radiation, and primary sensory cortices irrespective of the meditation techniques. Long latency AEPs changed in two out of the three meditations in which they were recorded. Hence there were changes during Qigong and “OM” meditation but not during TM.
3.4.3. Visual Evoked Potentials
Visual evoked potentials were recorded in a single study on Qigong meditators . There was a significant increase in peak-to-peak amplitude of N80-P115-N150 and N150-P200-N280 waves during Qigong meditation. The authors suggest that N80-P115-N150-P200 recorded may have corresponded to N70-P100-N130-P170 reported by Vaughan in 1996 . The first positive component is believed to be generated within thalamocortical radiations; the subsequent negative component is generated in lamina IV cb. The next positive component reflects inhibitory activity within this lamina and the later positive component reflects extra striate cortex activity. This suggests that Qigong meditation increases the activity in the visual pathway from thalamocortical radiations up to the extra striate cortex with all the relay centers in between being included.
3.5. Results of ERPs
Healthy experienced Sahaja yoga meditators and nonmeditators were assessed in a two-group study using an affective picture viewing task . In this comparison between long-term Sahaja yoga meditators and nonmeditators, mid latency ERPs were attenuated for both positive and negative pictures and a stronger ERP negativity between 200 and 300 ms was found in meditators regardless of picture valence.
There were two separate studies on healthy experienced Vipassana practitioners using an auditory oddball task [32, 33]. In both the studies the groups were assessed in two separate conditions (“the self as control” design), that is, Vipassana meditation and random thinking. In one of the studies Vipassana practitioners showed greater P3b amplitudes to the target tone after meditation than they did both before meditation and after the nonmeditation session . The other study reported changes in multiple components in response to the standard and target stimuli; the meditation-induced reduction in P3a amplitude had a positive correlation with the quality and experience of meditation .
In another study healthy Vipassana meditators were given a three-stimulus auditory oddball task . The group was assessed in two separate conditions, that is, Vipassana meditation and instructed mind wandering. Meditation compared to the control condition had decreased evoked delta power to distracter stimuli concomitantly with a greater event-related reduction of late (500–900 ms) alpha-1 (8–10 Hz) activity, suggestive of a modification of attentional engagement to distracters. Additionally, standard stimuli were associated with increased early event-related alpha phase synchrony (intertrial coherence) and evoked theta phase synchrony. Finally, during meditation, there was a greater differential early-evoked gamma power to the different stimuli. Correlation analysis indicated that this effect from a meditation state-related increase in early distracter-evoked gamma power and phase synchrony was specific to longer-term expert practitioners.
Two separate studies compared healthy Vipassana meditators and nonmeditators using the attentional blink task [35, 36]. In one study three months of intensive mental training resulted in a smaller attentional blink and reduced brain-resource allocation to the first target, as reflected by a smaller T1-elicited P3b, a brain-potential index of resource allocation . This efficiency in brain resource allocation might explain the findings of the other study which reported changes, especially in theta phase locking in conscious target perception .
Healthy practitioners of Vipassana and loving kindness meditation and nonmeditators were assessed in an attention blink task and an attention auditory task . Hence this two-group study compared practitioners of Vipassana and loving kindness meditation with nonmeditators. Three months of intensive meditation training reduced variability in attentional processing of target tones and reduced reaction time variability. Those individuals with greatest increase in neural response consistency had largest decrease in behavioral response variability. Reduced variability in neural processing was observed regardless of whether the deviant tone was attended to or unattended. Meditation can significantly affect attention and brain function.
Performance in a Global-to-Local target task was compared between healthy open monitoring meditators and nonmeditators . The study was conducted in two phases. Phase 1 was a cross sectional study. Phase 2 was a longitudinal study. Open monitoring meditation practitioners showed an enhanced processing of target level information, in contrast to the control group, which showed a local target selection effect only in the P1 and a global target selection effect in the P3 component; meditators showed effects of local information processing in the two other components (other than P3) and of global processing for two other components. Thus, meditators seem to display enhanced depth of processing. In the longitudinal experiment, meditation modulated attention after a 4-day meditation retreat.
Two studies reported the effect of meditation on mismatch negativity (MMN) [39, 40] Healthy practitioners of Sudarshan Kriya yoga and nonmeditators were compared using the mismatch negativity (MMN) paradigm . In this two-group, comparative study Sudarshan Kriya yoga meditators were found to have larger MMN amplitudes than nonmeditators. Meditators also exhibited significantly increased MMN amplitudes immediately after meditation suggesting transient state changes owing to meditation. The MMN is related to neuropsychological functioning, particularly to executive functions . Another study on healthy comparing children with training in musical meditation and nonmeditators using auditory mismatch negativity (MMN) and P300  reported similar results.
Apart from the mismatch negativity (MMN) paradigm P300 can also be a useful indicator for neuropsychological functioning such as brain resource allocation for attentional processing. Two separate studies on two different types of meditation supported the findings mention in the above paragraph [42, 43]. Healthy practitioners of meditative mindfulness and a control group were assessed using a row/column speller task . In this two-group study, the meditative mindfulness induction (MMI) and non-MMI control group were compared. MMI subjects were significantly more accurate than control subjects and they produced significantly larger P300 amplitudes than control subjects at the vertex and parietooccipital region. In a separate study, practitioners of a moving meditation called cyclic meditation were assessed on two separate days, practicing cyclic meditation or an equal duration of supine rest for comparison . On both days they were given an auditory oddball task with two tones (standard and target). There was a reduction in the peak latency of P300 after cyclic meditation at the frontal region, vertex, and parietal region. Also the P300 peak amplitudes after CM were higher at the same sites.
In addition to the studies on healthy participants the effect of meditation was evaluated on patients with bipolar disorder which is characterized by a number of attentional abnormalities. Patients with bipolar disorder and normal healthy participants were assessed with a visual A-X continuous performance task . In this two-group study, mindfulness based cognitive therapy in bipolar disorder improved attentional readiness and attenuated activation of nonrelevant information processing during attentional processes.
Four separate studies compared meditators and nonmeditators using different tasks for ERPs [45–48]. In one of the studies healthy meditators of various traditions and nonmeditators performed the Stroop task . Meditators showed greater executive control (i.e., fewer errors), a higher error related negativity, and emotional acceptance than controls. Another study used emotionally loaded stimuli (i.e., the International Affective Picture System) . The result showed different emotional processing in meditation practitioners. At high levels of processing meditators are less affected by stimuli with an adverse emotional load, while processing of positive stimuli remains unaltered. In another study healthy meditators from different traditions and nonmeditators were assessed using anticipatory and pain-evoked ERPs . Meditation was found to reduce the anticipation and negative appraisal of pain. Practitioners of imaginative meditators and nonmeditators were assessed during hand movement(s) and the idle thinking state . Imagining moving the hand is associated with event-related desynchronization of the beta EEG. This occurred more often and predictably in meditators compared to controls.
3.5.1. Summary of Event-Related Potential Studies
The results of the study on Sahaja yoga practitioners showed meditation can enhance frontal top-down control over fast automatic salience detection, based on amygdala functions following long-term meditation . Studies on Vipassana meditators showed increased attentional engagement after meditation, enhanced perceptual clarity, decreased automated reactivity, increased efficiency in distribution of limited brain resources, and switching attention [32–37]. Similar findings were reported in studies done on open monitoring meditation, Sudarshan Kriya yoga, musical meditation, and meditative mindfulness and cyclic meditation [38–43]. Meditators were also reported to have greater emotional acceptance, were less affected by stimuli with an adverse emotional load, and reduced the anticipation and negative appraisal of pain [45–47]. Hence meditation can induce a mental state which is characterized by efficient brain resource allocation with greater emotional control.
4. Limitations of EP and ERP Studies Reviewed
One of the main limitations of the studies reviewed is in the study design. Out of the 11 EP studies there was just one  which randomized the participants to the three experimental conditions. The other multiple-group studies [16, 18–21] did not use randomization. Three other early studies [1, 14, 15] had a single group which is an obvious disadvantage. The remaining 4 studies assessed the meditators as their own control on a separate day or days. In one out of four studies the assignment to meditation or the control intervention was random , whereas in the other 3 studies [11–13] the sequence was fixed and hence the effect of one intervention on another could not be ruled out. Also a disadvantage of the self-as-control design is that meditators with long experience in meditation may get into a meditative state even during the nonmeditation control sessions. Apart from the disadvantages in study design another disadvantage especially in the early studies [1, 14–16] was small sample sizes (range between 5 and 15). This is not seen in more recent studies [12, 13] ( and , resp.). On the whole evoked potentials offer poor spatial and temporal resolution compared to fMRI and MEG. Also the localization of changes is restricted to the sensory pathway activated by the specific stimulus. Despite these limitations evoked potentials continue to be useful to studies on practices like meditation as they are far less distracting and do not involve a drastic change in posture as is required for fMRI.
In the ERP studies reviewed the number of multiple-group studies (12 studies) was higher than the EP studies reviewed in the present study. However the evidence of the ERP studies is also with similar limitations as none of the ERP studies used randomization as a method of allocating the participants to different groups.
5. Limitations of the Present Study
The present study has several limitations: (i) the present study did not review studies on meditation and EEG, (ii) the studies on meditation and EPs were not homogenous, (iii) the studies reviewed in the present study were not categorized according to the Jadad scale, and (iv) the studies included in the present study were searched from only one database, that is, PubMed.
6. Directions for Future Research Suggested by This Study
The present study has shown that EPs are useful in localizing changes in meditation to areas such as the brainstem, thalamus, thalamocortical radiations, primary sensory cortices, and association cortical areas and ERPs can provide useful information about neurocognitive processing of attention and brain resource allocation. Most of the studies are limited by small sample sizes, lack of proper controls, no objective way of assessing the quality of meditation, and a wide range of variation in the practitioners sampled. This can be corrected in future studies. Also studies can be specifically designed to verify whether the findings of EP studies which suggest that changes occur in the thalamus, thalamocortical connections, and primary relays and enhancement in attention and increased efficiency of brain resource allocation as suggested by ERP studies are indeed correct. To verify these results more rigorous studies with a better design, larger sample size and studies of EPs and ERPs in combination with neuroimaging during meditation are recommended.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
- T. J. Barwood, J. A. C. Empson, S. G. Lister, and A. J. Tilley, “Auditory evoked potentials and transcendental meditation,” Electroencephalography and Clinical Neurophysiology, vol. 45, no. 5, pp. 671–673, 1978.
- T. Desiraju, “Neurophysiology and consciousness: an integrated non-dualist evolutionary theory,” in Frontiers in Physiological Research, D. G. Garlick and P. I. Korner, Eds., Australian Academy of Science, Canberra, Australia; Cambridge University Press, Cambridge, UK, 1984.
- M. Steriade and R. R. Llinas, “The functional states of the thalamus and the associated neuronal interplay,” Physiological Reviews, vol. 68, no. 3, pp. 649–742, 1988.
- K. H. Pribram and D. McGuiness, “Brain systems involved in attention and para-attentional processing,” Annals of New York Academy of Science, vol. 658, pp. 65–92, 1992.
- P. Subramanya and S. Telles, “Changes in midlatency auditory evoked potentials following two yoga-based relaxation techniques,” Clinical EEG and Neuroscience, vol. 40, no. 3, pp. 190–195, 2009.
- J. W. Hall, Handbook of Auditory Evoked Responses, Allyn & Bacon, Boston, Mass, USA, 1992.
- T. W. Picton and S. A. Hillyard, “Human auditory evoked potentials. II. Effects of attention,” Electroencephalography and Clinical Neurophysiology, vol. 36, no. 2, pp. 191–200, 1974.
- T. W. Picton, S. A. Hillyard, H. I. Krausz, and R. Galambos, “Human auditory evoked potentials. I. Evaluation of components,” Electroencephalography and Clinical Neurophysiology, vol. 36, no. 2, pp. 179–190, 1974.
- H. R. Nagendra and R. Nagarathna, New Perspective in Stress Management, Swami Vivekanada Yoga Prakashan, Bangalore, India, 1997.
- S. Telles and T. Desiraju, “Autonomic changes in Brahmakumaris Raja yoga meditation,” International Journal of Psychophysiology, vol. 15, no. 2, pp. 147–152, 1993.
- S. Kumar, H. R. Nagendra, K. V. Naveen, N. K. Manjunath, and S. Telles, “Brainstem auditory-evoked potentials in two meditative mental states,” International Journal of Yoga, vol. 3, no. 2, pp. 37–41, 2010.
- S. Telles, B. R. Raghavendra, K. V. Naveen, N. K. Manjunath, and P. Subramanya, “Mid-latency auditory evoked potentials in 2 meditative states,” Clinical EEG and Neuroscience, vol. 43, no. 2, pp. 154–160, 2012.
- S. Telles, S. Deepeshwar, K. V. Naveen, and P. Pailoor, “Long latency auditory evoked potentials during meditation,” Clinical EEG and Neuroscience, 2014.
- T. M. McEvoy, L. R. Frumkin, and S. W. Harkins, “Effects of meditation on brainstem auditory evoked potentials,” International Journal of Neuroscience, vol. 10, no. 2-3, pp. 165–170, 1980.
- G.-L. Liu, R.-Q. Cui, G.-Z. Li, and C.-M. Huang, “Changes in brainstem and cortical auditory potentials during Qi-Gong meditation,” The American Journal of Chinese Medicine, vol. 18, no. 3-4, pp. 95–103, 1990.
- W. Zhang, R. Zheng, B. Zhang, W. Yu, and X. Shen, “An observation on flash evoked cortical potentials and Qigong meditation.,” The American Journal of Chinese Medicine, vol. 21, no. 3-4, pp. 243–249, 1993.
- U. Panjwani, W. Selvamurthy, S. H. Singh, H. L. Gupta, S. Mukhopadhyay, and L. Thakur, “Effect of Sahaja yoga meditation on auditory evoked potentials (AEP) and visual contrast sensitivity (VCS) in epileptics,” Applied Psychophysiology Biofeedback, vol. 25, no. 1, pp. 1–12, 2000.
- S. Telles, R. Nagarathna, H. R. Nagendra, and T. Desiraju, “Alterations in auditory middle latency evoked potentials during meditation on a meaningful symbol—‘Om’,” International Journal of Neuroscience, vol. 76, no. 1-2, pp. 87–93, 1994.
- S. Telles and T. Desiraju, “Recording of auditory middle latency evoked potentials during the practice of meditation with the syllable ‘OM’,” The Indian Journal of Medical Research, vol. 98, pp. 237–239, 1993.
- D. L. Woods and C. C. Clayworth, “Click spatial position influences middle latency auditory evoked potentials (MAEPs) in humans,” Electroencephalography and Clinical Neurophysiology, vol. 60, no. 2, pp. 122–129, 1985.
- M. P. Deiber, V. Ibañez, C. Fischer, F. Perrin, and F. Mauguière, “Sequential mapping favours the hypothesis of distinct generators for Na and Pa middle latency auditory evoked potentials,” Electroencephalography and Clinical Neurophysiology, vol. 71, no. 3, pp. 187–197, 1988.
- D. Morlet, O. Bertrand, F. Salord, R. Boulieu, J. Pernier, and C. Fischer, “Dynamics of MLAEP changes in midazolam-induced sedation,” Electroencephalography and Clinical Neurophysiology, vol. 104, no. 5, pp. 437–446, 1997.
- C. Liégeois-Chauvel, A. Musolino, J. M. Badier, P. Marquis, and P. Chauvel, “Evoked potentials recorded from the auditory cortex in man: evaluation and topography of the middle latency components,” Electroencephalography and Clinical Neurophysiology, vol. 92, no. 3, pp. 204–214, 1994.
- D. L. Woods, R. T. Knight, and D. Scabini, “Anatomical substrates of auditory selective attention: behavioral and electrophysiological effects of posterior association cortex lesions,” Cognitive Brain Research, vol. 1, no. 4, pp. 227–240, 1993.
- T. W. Picton, C. Alain, D. L. Woods et al., “Intracerebral sources of human auditory-evoked potentials,” Audiology & Neuro-Otology, vol. 4, no. 2, pp. 64–79, 1999.
- R. Hari, M. Pelizzone, J. P. Mäkelä, J. Hällström, L. Leinonen, and O. V. Lounasmaa, “Neuromagnetic responses of the human auditory cortex to on- and offsets of noise bursts,” Audiology, vol. 26, no. 1, pp. 31–43, 1987.
- C. Pantev, M. Hoke, B. Lutkenhoner, and K. Lehnertz, “Neuromagnetic evidence of functional organization of the auditory cortex in humans,” Acta Oto-Laryngologica, Supplement, no. 491, pp. 106–115, 1991.
- M. Sams, P. Paavilainen, K. Alho, and R. Näätänen, “Auditory frequency discrimination and event-related potentials,” Electroencephalography and Clinical Neurophysiology, vol. 62, no. 6, pp. 437–448, 1985.
- J. Rif, R. Hari, M. S. Hamalainen, and M. Sams, “Auditory attention affects two different areas in the human supratemporal cortex,” Electroencephalography and Clinical Neurophysiology, vol. 79, no. 6, pp. 464–472, 1991.
- H. G. Vaughan Jr., “The perceptual and physiologic significance of visual evoked responses recorded from the scalp in man,” in Clinical Electroretinography, H. M. Burian and J. H. Jacobson, Eds., Pergamom Press, Oxford, UK, 1996.
- N. V. Reva, S. V. Pavlov, K. V. Loktev, V. V. Korenyok, and L. I. Aftanas, “Influence of long-term Sahaja Yoga meditation practice on emotional processing in the brain: an ERP study,” Neuroscience, vol. 281, pp. 195–201, 2014.
- L. C. Delgado-Pastor, P. Perakakis, P. Subramanya, S. Telles, and J. Vila, “Mindfulness (Vipassana) meditation: effects on P3b event-related potential and heart rate variability,” International Journal of Psychophysiology, vol. 90, no. 2, pp. 207–214, 2013.
- B. R. Cahn and J. Polich, “Meditation (Vipassana) and the P3a event-related brain potential,” International Journal of Psychophysiology, vol. 72, no. 1, pp. 51–60, 2009.
- B. R. Cahn, A. Delorme, and J. Polich, “Event-related delta, theta, alpha and gamma correlates to auditory oddball processing during vipassana meditation,” Social Cognitive and Affective Neuroscience, vol. 8, no. 1, Article ID nss060, pp. 100–111, 2013.
- H. A. Slagter, A. Lutz, L. L. Greischar et al., “Mental training affects distribution of limited brain resources.,” PLoS Biology, vol. 5, no. 6, article e138, 2007.
- H. A. Slagter, A. Lutz, L. L. Greischar, S. Nieuwenhuis, and R. J. Davidson, “Theta phase synchrony and conscious target perception: impact of intensive mental training,” Journal of Cognitive Neuroscience, vol. 21, no. 8, pp. 1536–1549, 2009.
- A. Lutz, H. A. Slagter, N. B. Rawlings, A. D. Francis, L. L. Greischar, and R. J. Davidson, “Mental training enhances attentional stability: neural and behavioral evidence,” Journal of Neuroscience, vol. 29, no. 42, pp. 13418–13427, 2009.
- S. van Leeuwen, W. Singer, and L. Melloni, “Meditation increases the depth of information processing and improves the allocation of attention in space,” Frontiers in Human Neuroscience, no. 6, article 133, 2012.
- N. Srinivasan and S. Baijal, “Concentrative meditation enhances preattentive processing: a mismatch negativity study,” NeuroReport, vol. 18, no. 16, pp. 1709–1712, 2007.
- Y. Luo, J. Wei, and B. Weekes, “Effects of musical meditation training on auditory mismatch negativity and P300 in normal children,” Chinese Medical Science Journal, vol. 14, no. 2, pp. 75–79, 1999.
- C. Kärgel, G. Sartory, D. Kariofillis, J. Wiltfang, and B. W. Müller, “Mismatch negativity latency and cognitive function in schizophrenia,” PLoS ONE, vol. 9, no. 4, Article ID e84536, 2014.
- C. E. Lakey, D. R. Berry, and E. W. Sellers, “Manipulating attention via mindfulness induction improves P300-based brain-computer interface performance,” Journal of Neural Engineering, vol. 8, no. 2, Article ID 025019, 2011.
- S. P. Sarang and S. Telles, “Changes in P300 following two yoga-based relaxation techniques,” International Journal of Neuroscience, vol. 116, no. 12, pp. 1419–1430, 2006.
- F. M. Howells, V. L. Ives-Deliperi, N. R. Horn, and D. J. Stein, “Mindfulness based cognitive therapy improves frontal control in bipolar disorder: A pilot EEG study,” BMC Psychiatry, vol. 12, article 15, 2012.
- R. Teper and M. Inzlicht, “Meditation, mindfulness and executive control: the importance of emotional acceptance and brain-based performance monitoring,” Social Cognitive and Affective Neuroscience, vol. 8, no. 1, Article ID nss045, pp. 85–92, 2013.
- A. Sobolewski, E. Holt, E. Kublik, and A. Wróbel, “Impact of meditation on emotional processing—a visual ERP study,” Neuroscience Research, vol. 71, no. 1, pp. 44–48, 2011.
- C. A. Brown and A. K. P. Jones, “Meditation experience predicts less negative appraisal of pain: electrophysiological evidence for the involvement of anticipatory neural responses,” Pain, vol. 150, no. 3, pp. 428–438, 2010.
- P. Eskandari and A. Erfanian, “Improving the performance of brain-computer interface through meditation practicing,” in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '08), pp. 662–665, Vancouver, Canada, August 2008.
Copyright © 2015 Nilkamal Singh and Shirley Telles. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.