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Hemisphere specific EEG related to alternate nostril yoga breathing

Abstract

Background

Previously, forced unilateral nostril breathing was associated with ipsilateral, or contralateral cerebral hemisphere changes, or no change. Hence it was inconclusive. The present study was conducted on 13 normal healthy participants to determine the effects of alternate nostril yoga breathing on (a) cerebral hemisphere asymmetry, and (b) changes in the standard EEG bands.

Methods

Participants were randomly allocated to three sessions (a) alternate nostril yoga breathing (ANYB), (b) breath awareness and (c) quiet sitting, on separate days. EEG was recorded from bilaterally symmetrical sites (FP1, FP2, C3, C4, O1 and O2). All sites were referenced to the ipsilateral ear lobe.

Results

There was no change in cerebral hemisphere symmetry. The relative power in the theta band was decreased during alternate nostril yoga breathing (ANYB) and the beta amplitude was lower after ANYB. During quiet sitting the relative power in the beta band increased, while the amplitude of the alpha band reduced.

Conclusion

The results suggest that ANYB was associated with greater calmness, whereas quiet sitting without specific directions was associated with arousal. The results imply a possible use of ANYB for stress and anxiety reduction.

Background

The nasal cycle is an ultradian rhythm characterized by alternating congestion and decongestion of opposite nostrils [1]. The nasal mucosal membrane has innervation from the autonomic nervous system so that sympathetic dominance on one side results in nasal mucosal vasoconstriction hence increasing nostril patency on that side. On the contralateral side there would be parasympathetic dominance and nasal mucosal vasodilation resulting in partial or complete occlusion of the nostril on that side. The nasal cycle varies widely in periodicity. When a continuous recording of nostril dominance was made, time series analysis detected periods of the nasal cycle at 280–275, 165–210, 145–160, 105–140, 70–100 and 40–65 min bins [2, 3].

Werntz et al. [4] showed that the nasal cycle was also related to the function of the central nervous system. The finding that forced uninostril breathing has selective effects on the EEG of the cerebral hemispheres was first shown in 1983 and later on with greater rigor in 1987 [5]. This is believed to be due to a neural connection arising from the superior nasal meatus [6]. Activation of the upper nasal cavity could be produced by air insufflation without inflation of the lung [6]. Also local anesthesia of the local mucosal membrane prevented the cortical changes which follow upper nasal cavity activation.

In a comparison between forced uninostril breathing and bilateral breathing, the peak power of beta2 in the frontal EEG was lower during uninostril compared to bilateral breathing [7].

The effects of forced alternate nostril breathing on the EEG were studied in 18 trained persons who practiced forced alternate nostril breathing for 10 min [8]. The study aimed at differentiating between forced alternate nostril breathing which began with inhalation through the left nostril compared to forced alternate nostril with right nostril inhalation to begin with [8]. No difference was reported. However the average power in the beta and alpha bands increased during both types of forced alternate nostril breathing. Also during the latter half of the ten minutes of forced alternate nostril breathing there was a decrease in hemisphere asymmetry in the beta 1 band, which the authors described as ‘a balancing effect on the functional activity of the left and right hemisphere.’

Yoga voluntarily regulated breathing (pranayama) allows a practitioner to breathe through one nostril at a time, effortlessly and selectively [9]. Alternate nostril breathing is also a common yoga breathing practice [10]. In Indian medicine importance is given to uninostril and alternate nostril breathing [11]. The effects of uninostril breathing are described in detail, with left nostril breathing described as ‘cooling and ‘calming’, while right nostril breathing is described as ‘heat generating’ and energizing’, and alternate nostril breathing has been described as ‘harmonizing’ [11].

A previous study showed that 18 min of alternate nostril breathing lowered the systolic and diastolic blood pressure in persons with essential hypertension controlled by medication [12].

The present study was planned as a preliminary study to assess the effects of alternate nostril yoga breathing on the EEG.

The hypothesis of the present study was that alternate nostril yoga breathing would reduce hemisphere asymmetry in EEG as was observed for forced alternate nostril breathing.

Methods

Participants

Thirteen healthy males with ages between 18 and 45 years residing in a yoga center in north India participated in the study. They were recruited by flyers on the notice boards of the yoga center. To be included in the trial, participants had to meet the following criteria: (a) the participants had to have experience of yoga breathing (pranayama) of at least 45 min a day, practiced for at least 15 days per month, over a minimum period of 6 months, and (b) the participants all had to be right hand dominant based on a standard handedness questionnaire [13]. The exclusion criteria were (1) persons on any medication, and (2) the presence of any illness, particularly psychiatric or neurological disorders. None of the participants were excluded based on these criteria. The baseline characteristics of the participants are given in Table 1.

Table 1 Baseline characteristics of the participants (n = 13)

The experimental procedure was approved by the ethical committee of Patanjali Research Foundation and signed informed consent was obtained from each participant before beginning the study.

Design of the study

The participants were assessed before, during and after the intervention. Each participant was assessed in three sessions, conducted on 3 separate days, keeping the time of the day constant for a particular participant. The three sessions were (a) alternate nostril yoga breathing (ANYB), (b) breath awareness (BAW), and (c) quiet sitting (QS). Participants were randomly assigned to the three sessions using a standard randomizer [14], hence the order of the three sessions was different for different participants.

The total duration of each session was 28 min, i.e., 5 min before the practice, 18 min during the practice, and 5 min after the practice. During the practice the participants practiced ANYB, BAW or quiet sitting for 15 min with 1 min of rest after every 5 min of practice, so that the duration was 18 min. Hence the 15 min were divided into three epochs of 5 min each. Throughout the session participants were seated on a chair with their spine straight and eyes closed. Recordings were taken continuously in the pre, during 1, during 2, during 3 and post periods of 5 min each as shown in Fig. 1.

Fig. 1
figure 1

A schematic representation of the study design. The stippled area represents pre, during, and post periods. The gray area represents gaps between practice epochs

Recording procedure

EEG was recorded using Ag/AgCl disc electrodes. The scalp was prepared using Nuprep skin preparation gel (Weaver and Co., USA). Electrodes with Ten20 conductive EEG Paste (Weaver and Co., USA) were placed at FP1, C3, and O1 referenced to the left ear lobe (A1), and at FP2, C4, and O2 referenced to the right ear lobe (A2); based on the standard 10–20 system for electrode placement [15]. Participants were seated in a dimly lit, sound and electrical-noise attenuated cabin adjacent to the recording room. Participants were able to receive instructions or communicate with the examiner using a two way intercom. Throughout a session participants were observed on a closed circuit television, which they were informed about prior to the session.

EEG was recorded using Neurotravel LIGHT (ATES Medica Device, Italy). The sampling frequency was 250 samples per second. The low cut filter was set at .2 Hz and the high cut filter at 30.0 Hz. This had the obvious limitation of not including gamma frequencies, which could not be recorded with this equipment.

Interventions

Alternate nostril yoga breathing

The participants sat comfortably with their spine erect and shoulders relaxed with eyes closed. ANYB involves breathing through left and right nostrils alternately without retention of the breath. In this practice the thumb and the ring figure of the right hand were used to manipulate or occlude the nostrils [16]. Participants were asked to sit erect in either the half-lotus posture (ardha-padmasana) or complete lotus posture (padmasana). They were asked to keep their eyes closed, gently, without effort. After this they were asked to keep their non-dominant hand (the left hand in all participants) on their left knee. They flexed the right arm at the elbow and raised their right hand to the level of their nose. The index and middle fingers of the right hand were flexed to rest their fingertips on their palms, using their thumb and ring figure of the right hand to manipulate or occlude the nostrils [16]. Occlusion of the nostrils was gentle. Participants were asked to begin the breathing practice by exhaling through the left nostril with the right nostril occluded with the right thumb; then inhaling slowly through the left nostril; followed by exhaling through the right nostril with the left nostril occluded with the right ring finger; then inhaling through the right nostril and exhaling through the left nostril. With this exhalation one cycle was complete. The approximate duration of 1 cycle was 6 s; with the ratio of inhale:exhale as 1:1.5 [9]. Participants were asked to continue breathing like this for 5 min. This was timed by the yoga instructor. They were then given 1 min gap during which participants were asked to remain with their eyes closed and to rest their right fingers on their right knee. This (5 min followed by 1 min) was repeated thrice in the session.

Breath awareness

During breath awareness, the participants maintained awareness of the breath without manipulation of the nostrils. Participants were asked to sit erect in either the half-lotus (ardha padmasana) or complete lotus (padmasana) posture and keep their eyes closed. During this time both arms were extended and the hands were placed on the respective knees. The instructor asked the participants to direct their attention to the movement of air into and out of their nostrils and also direct their awareness to the movement of air through the nasal passages. The period of breath was 5 min, timed by the instructor, followed by instructions to allow attention to wander for 1 min. This (5 min followed by 1 min) was repeated thrice in the session.

Quiet sitting

Participants were asked to sit with their spine erect and shoulders relaxed with eyes closed. Participants were asked to keep their eyes closed and to sit in either the half-lotus (ardha padmasana) or complete lotus posture (padmasana). They were asked to stretch their arms out to rest the fingers of each hand on the respective knees. Participants were told to allow their thoughts to wander without restrictions. After 5 min they were told there was a 1 min gap, though the instructions during the 1 min gap did not differ from the 5 min preceding it. This (5 and 1 min gap) was repeated thrice in the session.

Data extraction

EEG records were visually inspected for artifacts due to eye or body movements. The recordings were all free from artifact and no part of the records had to be excluded for analysis. The artifact-free data were spectrally analyzed using fast Fourier transform analysis (FFT). This analysis provided the relative power for each band as a percentage of the total power. This was provided for the delta (.5–3.5 Hz), theta (4–7.5 Hz), alpha (8–12) and beta (13–30 Hz) bands. Also, the actual values of the average amplitude within a band for a specific period (e.g., before alternate nostril yoga breathing) were obtained. These values were used for analysis.

Data analysis

Statistical analysis was carried out using SPSS (Version 18.0). Repeated measures analyses of variance (RM-ANOVA) were performed with two within subjects factors, i.e., Sessions (ANYB, BAW and QS), and States (pre, during, and post). An ANOVA was followed by post hoc tests for multiple comparisons with Bonferroni adjustment.

The Bonferroni adjustment was carried out for each of the multiple post hoc comparisons. The comparisons which were considered were the ‘during’ and ‘post’ values compared with the ‘pre’ values of a specific session. This was separate for each EEG band. With the SPSS software Bonferroni adjustment multiplies the uncorrected p value by the number of comparisons; hence α remains unchanged [17].

Results

Repeated-measures analysis of variance

  1. (1)

    Energy of the EEG bands as a percentage of the whole

    The theta energy (%) at C4 − A2 and O2 − A2 showed a significant difference between States (p < .05; F = 2.730, df = 1, 48; p < .05; F = 1.868, df = 1, 48 respectively). The beta energy (%) at FP2 − A2 showed a significant difference between States (p < .05; F = 4.482, df = 1, 48).

  2. (2)

    Amplitudes of the EEG bands

    The beta amplitude at O2 − A2 showed a significant difference between States (p < .05; F = 8.400, df = 1, 48). The alpha amplitude at C4 − A2 showed a significant difference between States (p < .05; F = .676, df = 1, 48).

For all comparisons the Huynh–Feldt epsilon was equal to 1.000, hence sphericity was assumed.

Post-hoc analyses with Bonferroni adjustment

The theta energy (%) was significantly reduced at C4 − A2, and O2 − A2 during the practice of ANYB compared to the values before the practice (p < .05), for both comparisons. In contrast there was a significant increase in the beta energy (%) at FP2 − A2 sites during QS compared to before QS (p < .05).

There was a significant reduction in the beta amplitude at O2 − A2 after the practice of ANYB compared to before ANYB (p < .05). During the QS session there was a significant reduction in the alpha amplitude at C4 − A2 compared to before QS (p < .05).

There were no significant changes following breath awareness. The mean values ± SD for energy (%) and amplitude at FP1 − A1, FP2 − A2, C3 − A1, C4 − A2, O1 − A1, and O2 − A2 electrode sites pre, during and post ANYB, BAW and QS are provided in Tables 2, 3 and 4. Significant changes in EEG energy (%) and EEG amplitude are shown in Figs. 2 and 3, respectively.

Table 2 Energy (%) of the four EEG bands (μV2) pre, during and post, ANYB, BAW and QS sessions
Table 3 Amplitudes of the four EEG bands (in μV) pre, during and post, ANYB, BAW and QS sessions
Table 4 Left right coherence as a measure of hemisphere asymmetry, recorded at prefrontal, vertex and occipital sites in ANYB, BAW and QS sessions
Fig. 2
figure 2

Energy of the theta and beta bands (μV2). Energy of the theta band (μV2) showing a significant reduction at C4 − A2 and O2 − A2 during alternate nostril yoga breathing compared to before. Energy of the beta band increased during quiet sitting compared to before at FP2 − A2

Fig. 3
figure 3

Amplitudes of the beta and alpha bands (µV). Amplitude of the beta band (μV) showing a significant reduction at O2 − A2 during alternate nostril yoga breathing compared to before. Amplitude of the alpha band decreased during quiet sitting compared to before at C4 − A2

Discussion

Contrary to the hypothesis of the study alternate nostril yoga breathing was not associated with any change in cerebral hemisphere EEG symmetry. The relative power in the theta band reduced during alternate nostril yoga breathing (ANYB), while the amplitude of beta waves was lower after ANYB. During the control period of quiet sitting (QS) the relative power in the beta band increased, while the amplitude of the alpha band reduced.

Hemispheric symmetry was determined (1) based on coherence as calculated by the software (Neurotravel, Italy), and (2) based on changes in the EEG amplitude recorded at symmetrical pre-frontal, vertex, and occipital sites over the left and the right hemispheres. As mentioned contrary to the hypothesis, alternate nostril yoga breathing did not alter hemispheric symmetry.

Changes in the relative power in the EEG bands occurred during ANYB and during quiet sitting. There was a decrease in the relative power in the theta band during ANYB at the vertex on the right side. Frontal theta activity has been related to working memory [18] and increased frontal and midline theta were related to a positive emotional state [19]. In general, variations in the power of theta and alpha bands of the EEG are related to complex cognitive functions and memory performance [20]. Hence the decrease in relative theta power may be associated with a better ability to perform certain cognitive tasks, though the connection is not strong. The theta activity increases in several conditions including drowsiness associated with a decreased ability to perform specific tasks [20].

The increase in relative power of the beta band of the EEG during quiet sitting over the right prefrontal region could suggest increased alertness, arousal and excitement, which are associated with increased beta wave activity [21]. Conversely, the amplitude of the beta wave band was lower after ANYB recorded over the right occipital region. Beta wave activity is not well understood, and its functional role remains only partially explained [22]. For instance research has shown that increased beta wave activity generated in the motor cortex is related to slow motor behavior [23]. A decrease of beta wave power (i.e., desynchronization) is believed to be an indicator of movement preparation, execution, and motor imagery [24, 25]. An arousal based theory [26] may help explain the changes in beta activity found in the present study. The arousal theory suggests that increased beta activity is associated with increased mental activity or arousal [26]. This suggests that after ANYB there is a decrease in arousal consistent with descriptions of yoga breathing as calming [8]. During the quiet sitting session, in contrast, the decrease in alpha amplitude over the right vertex could suggest greater arousal associated with random thinking in the absence of specific instructions [27]. This finding of increased activation during quiet sitting has been found in other studies [28]. It was suggested that the mental state during quiet sitting may be comparable to the state of mind wandering and self-referential processing [29].

Most of the changes described above (during and after ANYB, and during QS) occurred on the right side. These results may be considered comparable to those of an earlier study which assessed cerebral hemisphere specific task performance in 135 participants, aged between 10 and 17 years [30]. Participants were randomly assigned to (1) left nostril breathing, (2) right nostril breathing, (3) alternate nostril breathing, (4) breath awareness or (5) a control state. Hence there were 5 groups (n = 27 each) who practiced the intervention they were assigned to for 10 days. At the beginning and end of the 10 day period participants were assessed using verbal and spatial memory tasks, considered specific for left and right hemispheric functions, respectively. All four active intervention groups (left, right and alternate nostril yoga breathing as well as breath awareness) showed a significant increase by 84% in spatial memory scores at the end of 10 days. These results suggested that yoga breathing increases right hemisphere task performance. In the present study it is possible that during quiet sitting the participants who were trained in pranayama practiced yoga breathing inadvertently. It remains unclear why the breath awareness sessions showed no change unlike the study cited above. A possible reason is the small sample size which is a limitation of the study. Also, the present study assessed EEG, while the study cited above [30] assessed verbal and spatial memory task performance. It would have been ideal to record both measurements simultaneously. Hence simultaneous recording of the EEG and cognitive tasks could be a definite direction for future research.

The findings of the present study are limited by (a) the small sample size (n = 13; effect size = .11 (low), and (b) the inability to record and report the gamma band of the EEG with the equipment used.

Despite these limitations, this may be considered a pilot study which has results suggesting that ANYB may be calming and may possibly influence cognitive functions.

Conclusions

Contrary to the hypothesis of the study there was no change in cerebral hemisphere asymmetry during alternate nostril yoga breathing. Alternate nostril yoga breathing resulted in a decrease in theta band energy at the vertex and occipital sites on the right side. There was a decrease in the amplitude of the beta band after alternate nostril yoga breathing at the right occipital site, while the amplitude of the alpha band reduced during sitting quietly without specific instructions at the right vertex site. Also during sitting quietly without specific instructions there was an increase in energy in the beta band at the right prefrontal site.

Importance and relevance

Airflow through the nostril can impact the EEG. In this case alternate nostril yoga breathing had effects on the EEG suggesting that the practice can be calming and reduce arousal.

Abbreviations

A1 :

reference (left ear lobe)

A2 :

reference (right ear lobe)

ANYB:

alternate nostril yoga breathing

BAW:

breath awareness

C3 :

vertex, left side

C4 :

vertex, right side

QS:

quiet sitting

EEG:

electroencephalography

FFT:

fast Fourier transform

FP1 :

left pre-frontal

FP2 :

right pre-frontal

M:

mean

O1 :

left occipital

O2 :

right occipital

RM-ANOVA:

repeated measures analysis of variance

SD:

standard deviation

References

  1. Shannahoff-Khalsa D. Unilateral forced nostril breathing: basic science, clinical trials, and selected advanced techniques. Subtle Energ Energy Med J. 2001;12(2):79–106.

    Google Scholar 

  2. Shannahoff-Khalsa DS, Kennedy B, Yates FE, Ziegler MG. Ultradian rhythms of autonomic, cardiovascular, and neuroendocrine systems are related in humans. Am J Physiol. 1996;270(4 Pt 2):R873–87.

    CAS  PubMed  Google Scholar 

  3. Shannahoff-Khalsa DS, Kennedy B, Yates FE, Ziegler MG. Low-frequency ultradian insulin rhythms are coupled to cardiovascular, autonomic, and neuroendocrine rhythms. Am J Physiol. 1997;272(3 Pt 2):R962–8.

    CAS  PubMed  Google Scholar 

  4. Werntz DA, Bickford RG, Bloom FE, Shannahoff-Khalsa DS. Alternating cerebral hemispheric activity and the lateralization of autonomic nervous function. Hum Neurobiol. 1983;2(1):39–43.

    CAS  PubMed  Google Scholar 

  5. Werntz DA, Bickford RG, Shannahoff-Khalsa D. Selective hemispheric stimulation by unilateral forced nostril breathing. Hum Neurobiol. 1987;6(3):165–71.

    CAS  PubMed  Google Scholar 

  6. Kristof M, Servit Z, Manas K. Activating effect of nasal air flow on epileptic electrographic abnormalities in the human EEG. Evidence for the reflect origin of the phenomenon. Physiol Bohemoslov. 1981;30(1):73–7.

    CAS  PubMed  Google Scholar 

  7. Stancák A, Hönig J, Wackermann J, Lepicovská V, Dostálek C. Effects of unilateral nostril breathing on respiration, heart rhythm and brain electrical activity. Neurosciences. 1991;17:409–17.

    Google Scholar 

  8. Stancák A Jr, Kuna M. EEG changes during forced alternate nostril breathing. Int J Psychophysiol. 1994;18(1):75–9.

    Article  PubMed  Google Scholar 

  9. Ramdev S. Pranayama Rahasya. Haridwar: Divya Prakshan; 2009.

    Google Scholar 

  10. Telles S, Naveen KV. Voluntary breath regulation in yoga: its relevance and physiological effects. Biofeedback. 2008;36(2):70–3.

    Google Scholar 

  11. Muktibodhananda S. Swara yoga: the tantric science of brain breathing. Munger: Bihar School of Yoga; 1999.

    Google Scholar 

  12. Telles S, Yadav A, Kumar N, Sharma S, Visweshwaraiah NK, Balkrishna A. Blood pressure and purdue pegboard scores in individuals with hypertension after alternate nostril breathing, breath awareness, and no intervention. Med Sci Monit. 2013;19:61–6.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9:97–114.

    Article  CAS  PubMed  Google Scholar 

  14. Research Randomizer. https://www.randomizer.org/. Accessed 10 Oct 2015.

  15. Jasper HH. The ten-twenty electrode system of the International federation. Electroencephalogr Clin Neurophysiol. 1958;10:371–5.

    Google Scholar 

  16. Telles S, Raghavendra BR. Yoga physiology and applications in therapy and rehabilitation. In: Tandon OP, Tripathi Y, editors. Best & Taylor’s physiological basis of medical practice. Philadelphia: Lippincott Williams & Wilkins; 2011. p. 1217–30.

    Google Scholar 

  17. Telles S, Sharma SK, Gupta RK, Bhardwaj AK, Balkrishna A. Heart rate variability in chronic low back pain patients randomized to yoga or standard care. BMC Complement Altern Med. 2016;16:279.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Jensen O, Tesche CD. Frontal theta activity in humans increases with memory load in a working memory task. Eur J Neurosci. 2002;15:1395–9.

    Article  PubMed  Google Scholar 

  19. Aftanas LI, Golocheikine SA. Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation. Neurosci Lett. 2001;310:57–60.

    Article  CAS  PubMed  Google Scholar 

  20. Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev. 1999;29(2–3):169–95.

    Article  CAS  PubMed  Google Scholar 

  21. Steriade M, Gloor P, Llinas RR, Da-Silva FHL, Mesulam MM. Basic mechanisms of cerebral rhythmic activities. Clin Neurophysiol. 1990;76:481.

    Article  CAS  Google Scholar 

  22. Jensen O, Goel P, Kopell N, Pohja M, Hari R, Ermentrout B. On the human sensorimotor-cortex beta rhythm: sources and modeling. Neuroimage. 2005;26(2):347–55.

    Article  CAS  PubMed  Google Scholar 

  23. Pogosyan A, Gaynor LD, Eusebio A, Brown P. Boosting cortical activity at beta-band frequencies slows movement in humans. Curr Biol. 2009;19(19):1637–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Pfurtscheller G, Neuper C. Motor imagery activates primary sensorimotor area in humans. Neurosci Lett. 1997;239(2–3):65–8.

    Article  CAS  PubMed  Google Scholar 

  25. Zhang Y, Chen Y, Bressler SL, Ding M. Response preparation and inhibition: the role of the cortical sensorimotor beta rhythm. Neuroscience. 2008;156(1):238–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Andreassi JL. Psychophysiology. Human behavior and physiological response. London: Lawrence Erlbaum Associates; 2000.

    Google Scholar 

  27. Neznamov GG, Bochkarev VK, Reutova MA, Shabanova AA, Siuniakov SA. Ladasten versus placebo effect self-evaluated by neurasthenia patients with different EEG alpha rhythm types. Eksp Klin Farmakol. 2012;75(5):7–13.

    CAS  PubMed  Google Scholar 

  28. Telles S, Gupta RK, Singh N, Balkrishna A. A functional near-infrared spectroscopy study of high-frequency yoga breathing compared to breath awareness. Med Sci Monit Basic Res. 2016;22:58–66.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Whitfield-Gabrieli S, Moran JM, Nieto-Castañón A, Triantafyllou C, Saxe R, Gabrieli JD. Associations and dissociations between default and self-reference networks in the human brain. Neuroimage. 2011;55:225–32.

    Article  PubMed  Google Scholar 

  30. Naveen KV, Nagarathna R, Nagendra HR, Telles S. Yoga breathing through a particular nostril increases spatial memory scores without lateralized effects. Psychol Rep. 1997;81(2):555–61.

    Article  CAS  PubMed  Google Scholar 

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Authors’ contributions

ST conceptualized and designed the study, interpreted the data, reviewed the literature and prepared the manuscript. RKG assisted in compiling the manuscript and completing the revision. AY collected the data, analyzed it statistically, carried out the literature review and assisted in manuscript compilation. SP collected the data and assisted in the review of literature. AB conceptualized and designed the study. All authors read and approved the final manuscript.

Acknowledgements

The authors gratefully acknowledge the funding from Divya Yog Mandir Trust to conduct the study.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The original data of individual participants are available in spread sheets and can be accessed on request. At present we have no repository for these data generated on individual participants.

Consent to publish

Written informed consent was obtained from participants to participate in the study and to share images or data if required.

Ethics approval and consent to participate

The experimental procedure was approved by the ethical committee of Patanjali Research Foundation and signed informed consent was obtained from each participant before beginning the study.

Funding

The research was funded by Divya Yog Mandir Trust, Haridwar, India.

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Correspondence to Shirley Telles.

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Telles, S., Gupta, R.K., Yadav, A. et al. Hemisphere specific EEG related to alternate nostril yoga breathing. BMC Res Notes 10, 306 (2017). https://doi.org/10.1186/s13104-017-2625-6

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