Larger whole brain grey matter associated with long-term Sahaja Yoga Meditation: A detailed area by area comparison

Sergio Elías Hernández, Roberto Dorta,José Suero, Alfonso Barros-Loscertales,José Luis González-Mora, Katya Rubia


Our previous study showed that long-term practitioners of Sahaja Yoga Meditation (SYM) had around 7% larger grey matter volume (GMV) in the whole brain compared with healthy controls; however, when testing individual regions, only 5 small brain areas were statistically different between groups. Under the hypothesis that those results were statistically conservative, with the same dataset, we investigated in more detail the regional differences in GMV associated with the practice of SYM, with a different statistical approach.


Twenty-three experienced practitioners of SYM and 23 healthy non-meditators matched on age, sex and education level, were scanned using structural magnetic resonance imaging (MRI). Their GMV were extracted and compared using Voxel-Based Morphometry (VBM). Using a novel ad-hoc general linear model, statistical comparisons were made to observe if the GMV differences between meditators and controls were statistically significant.


In the 16 lobe area subdivisions, GMV was statistically significantly different in 4 out of 16 areas: in right hemispheric temporal and frontal lobes, left frontal lobe and brainstem. In the 116 AAL area subdivisions, GMV difference was statistically significant in 11 areas. The GMV differences were statistically more significant in right hemispheric brain areas.


The study shows that long-term practice of SYM is associated with larger GMV overall, and with significant differences mainly in temporal and frontal areas of the right hemisphere and the brainstem. These neuroplastic changes may reflect emotional and attentional control mechanisms developed with SYM. On the other hand, our statistical ad-hoc method shows that there were more brain areas with statistical significance compared to the traditional methodology which we think is susceptible to conservative Type II errors.

Citation: Hernández SE, Dorta R, Suero J, Barros-Loscertales A, González-Mora JL, Rubia K (2020) Larger whole brain grey matter associated with long-term Sahaja Yoga Meditation: A detailed area by area comparison. PLoS ONE 15(12): e0237552. doi:10.1371/journal.pone.0237552

Editor: Niels Bergsland, University at Buffalo, UNITED STATES

Quality of Life and Functional Health Status of Long-Term Meditators

Ramesh Manocha 1 , Deborah Black, Leigh Wilson
Affiliations expand
PMID: 22611427 PMCID: PMC3352577 DOI: 10.1155/2012/350674
Free PMC article


Background. There is very little data describing the long-term health impacts of meditation. Aim. To compare the quality of life and functional health of long-term meditators to that of the normative population in Australia. Method. Using the SF-36 questionnaire and a Meditation Lifestyle Survey, we sampled 343 long-term Australian Sahaja Yoga meditation practitioners and compared their scores to those of the normative Australian population. Results. Six SF-36 subscales (bodily pain, general health, mental health, role limitation-emotional, social functioning, and vitality) were significantly better in meditators compared to the national norms whereas two of the subscales (role limitation-physical, physical functioning) were not significantly different. A substantial correlation between frequency of mental silence experience and the vitality, general health, and especially mental health subscales (P < 0.005) was found.


Long-term practitioners of Sahaja Yoga meditation experience better functional health, especially mental health, compared to the general population. A relationship between functional health, especially mental health, and the frequency of meditative experience (mental silence) exists that may be causal. Evidence for the potential role of this definition of meditation in enhancing quality of life, functional health and wellbeing is growing. Implications for primary mental health prevention are discussed.

Source: National Library of Medicine, National Center for Biotechnology Information,

Impact of Long-Term Meditation Practice on Cardiovascular Reactivity During Perception and Reappraisal of Affective Images

Sergei V Pavlov 1 , Natalia V Reva 2 , Konstantin V Loktev 3 , Vladimir V Korenyok 4 , Lyubomir I Aftanas 5
Affiliations expand
PMID: 25583571 DOI: 10.1016/j.ijpsycho.2015.01.002


Meditation has been found to be an efficient strategy for coping with stress in healthy individuals and in patients with psychosomatic disorders. The main objective of the present study was to investigate the psychophysiological mechanisms of beneficial effects of meditation on cardiovascular reactivity. We examined effects of long-term Sahaja Yoga meditation on cardiovascular reactivity during affective image processing under “unregulated” and “emotion regulation” conditions. Twenty two experienced meditators and 20 control subjects participated in the study. Under “unregulated” conditions participants were shown neutral and affective images and were asked to attend to them. Under “emotion regulation” conditions they down-regulated negative affect through reappraisal of negative images or up-regulated positive affect through reappraisal of positive images. Under “unregulated” conditions while anticipating upcoming images meditators vs. controls did not show larger pre-stimulus total peripheral resistance and greater cardiac output for negative images in comparison with neutral and positive ones. Control subjects showed TPR decrease for negative images only when they consciously intended to reappraise them (i.e. in the “emotion regulation” condition). Both meditators and controls showed comparable cardiovascular reactivity during perception of positive stimuli, whereas up-regulating of positive affect was associated with more pronounced cardiac activation in meditators. The findings provide some insight into understanding the beneficial influence of meditation on top-down control of emotion and cardiovascular reactivity.

Source: National Library of Medicine, National Center for Biotechnology Information,

Effect of Sahaja Yoga Meditation on Auditory Evoked Potentials (AEP) and Visual Contrast Sensitivity (VCS) in Epileptics

U Panjwani 1 , W Selvamurthy, S H Singh, H L Gupta, S Mukhopadhyay, L Thakur
Affiliations expand
PMID: 10832506 DOI: 10.1023/a:1009523904786


The effect of Sahaja Yoga meditation on 32 patients with primary idiopathic epilepsy on regular and maintained antiepileptic medication was studied. The patients were randomly divided into 3 groups: group I practiced Sahaja Yoga meditation twice daily for 6 months under proper guidance; group II practiced postural exercises mimicking the meditation for the same duration; and group III was the control group. Visual Contrast Sensitivity (VCS), Auditory Evoked Potentials (AEP), Brainstem Auditory Evoked Potentials (BAEP), and Mid Latency Responses (MLR) were recorded initially (0 month) and at 3 and 6 months for each group. There was a significant improvement in VCS following meditation practice in group I participants. Na, the first prominent negative peak of MLR and Pa, the positive peak following Na did not register changes in latency. The Na-Pa amplitude of MLR also showed a significant increase. There were no significant changes in the absolute and interpeak latencies of BAEP. The reduced level of stress following meditation practice may make patients more responsive to specific stimuli. Sahaja Yoga meditation appears to bring about changes in some of the electrophysiological responses studied in epileptic patients.

Source: National Library of Medicine, National Center for Biotechnology Information,

Effect of Sahaja Yoga Practice on Stress Management in Patients of Epilepsy

U Panjwani 1 , H L Gupta, S H Singh, W Selvamurthy, U C Rai
Affiliations expand
PMID: 7649596


An attempt was made to evaluate the effect of Sahaja yoga meditation in stress management in patients of epilepsy. The study was carried out on 32 patients of epilepsy who were rendomly divided into 3 groups: group I subjects practised Sahaja yoga meditation for 6 months, group II subjects practised postural exercises mimicking Sahaja yoga and group III served as the epileptic control group. Galvanic skin resistance (GSR), blood lactate and urinary vinyl mandelic acid (U-VMA) were recorded at 0, 3 and 6 months. There were significant changes at 3 & 6 months as compared to 0 month values in GSR, blood lactate and U-VMA levels in group I subjects, but not in group II and group III subjects. The results indicate that reduction in stress following Sahaja yoga practice may be responsible for clinical improvement which had been earlier reported in patients who practiced Sahaja Yoga.

Source: National Library of Medicine, National Center for Biotechnology Information,

Effect of Sahaja Yoga Practice on Seizure Control & EEG Changes in Patients of Epilepsy

U Panjwani 1 , W Selvamurthy, S H Singh, H L Gupta, L Thakur, U C Rai
Affiliations expand
PMID: 9062044


The effect of Sahaja yoga meditation on seizure control and electroencephalographic alterations was assessed in 32 patients of idiopathic epilepsy. The subjects were randomly divided into 3 groups. Group I (n = 10) practised Sahaja yoga for 6 months, Group II (n = 10) practised exercises mimicking Sahaja yoga for 6 months and Group III (n = 12) served as the epileptic control group. Group I subjects reported a 62 per cent decrease in seizure frequency at 3 months and a further decrease of 86 per cent at 6 months of intervention. Power spectral analysis of EEG showed a shift in frequency from 0-8 Hz towards 8-20 Hz. The ratios of EEG powers in delta (D), theta (T), alpha (A) and beta (B) bands i.e., A/D, A/D + T, A/T and A + B/D + T were increased. Per cent D power decreased and per cent A increased. No significant changes in any of the parameters were found in Groups II and III, indicating that Sahaja yoga practice brings about seizure reduction and EEG changes. Sahaja yoga could prove to be beneficial in the management of patients of epilepsy.

Source: National Library of Medicine, National Center for Biotechnology Information,

Influence of Long-Term Sahaja Yoga Meditation Practice on Emotional Processing in the Brain: An ERP Study

N V Reva 1 , S V Pavlov 2 , K V Loktev 2 , V V Korenyok 2 , L I Aftanas 2
Affiliations expand
PMID: 25281881 DOI: 10.1016/j.neuroscience.2014.09.053


Despite growing interest in meditation as a tool for alternative therapy of stress-related and psychosomatic diseases, brain mechanisms of beneficial influences of meditation practice on health and quality of life are still unclear. We propose that the key point is a persistent change in emotional functioning, specifically the modulation of the early appraisal of motivational significance of events. The main aim was to study the effects of long-term meditation practice on event-related brain potentials (ERPs) during affective picture viewing. ERPs were recorded in 20 long-term Sahaja Yoga meditators and 20 control subjects without prior experience in meditation. The meditators’ mid-latency (140-400ms) ERPs were attenuated for both positive and negative pictures (i.e. there were no arousal-related increases in ERP positivity) and this effect was more prominent over the right hemisphere. However, we found no differences in the long latency (400-800ms) responses to emotional images, associated with meditation practice. In addition we found stronger ERP negativity in the time window 200-300ms for meditators compared to the controls, regardless of picture valence. We assume that long-term meditation practice enhances frontal top-down control over fast automatic salience detection, based on amygdala functions.

Source: National Library of Medicine, National Center for Biotechnology Information,

The Effects of Sahaja Yoga Meditation on Mental Health: A Systematic Review


Meditation as a useful form of intervention to increase mental health is becoming a focus of scientific attention. Although meditation is a practice that is also part of monotheistic religions such as Christianity, Islam, and Judaism, it is often associated with Eastern traditions, religions, and philosophies such as Yoga, Buddhism, Taoism, and Jainism. There is no clear definition of meditation; meditation is an umbrella term for a range of techniques aimed at calming the mind. Furthermore, what is understood by the term meditation is subjected to trends and hypes. With the coming of the flower power age in the late sixties, Eastern philosophies and meditation became known to the general public, in particular Transcendental Meditation (TM) and Herbert Benson’s TM derivative Relaxation Response [1]. Hundreds of studies on the effects of TM were published in the 1970s and 1980s, although there has been much debate on the methodological quality of these studies [2]. The 1980s saw the consolidation of the popularity of yoga. Yoga is comprised of different techniques of which physical postures (asanas), breathing exercises (pranayama), and meditation (dhyana) are the three main ones [3, 4]. It was mostly the practice of postural yoga in combination with breathing exercises, and not meditational yoga, that became popular through forms such as Hatha yoga, Iyengar yoga, Kundalini yoga, Bikram yoga, Kriya yoga, and countless others [5, 6]. What is referred to as “modern postural yoga” [7] has become a synonym for yoga: in the West yoga is now mostly perceived as the practice of physical exercises to improve health and fitness, rather than a meditation form that is aimed at achieving an enlightened state of consciousness, as it was originally intended.

The past decade saw the breakthrough of mindfulness and a growing interest in Buddhist psychology/philosophy. The acceptance of mindfulness meditation in the scientific and therapeutic community can partially be attributed to a large number of research studies, with a growing amount of randomized controlled trials. This may have had a positive effect on the quality of studies in the field of meditation in general. Several systematic reviews and meta-analyses on the effects of meditation were recently published, but in a number of them meditation forms such as Yoga, Tai Chi, and Qi Gong were excluded [8, 9, 10]. In these studies it appears meditation is divided into two categories: meditation focused on mental processes and meditation focused on bodily processes. And while these publications claim to report on the (psychological) effects of meditation in general, they in fact only reported on two forms of meditation: TM and mindfulness. Other forms of meditation were not included.

One form of meditation overlooked by prior reviews is Sahaja Yoga (SY). SY is a form of meditation, developed in the 1970s by Nirmala Srivastava. SY offers a simple way to awaken the Kundalini, an inner energy believed to reside in the sacrum bone. By awakening the Kundalini, it is believed a yogi can enter into a state of thoughtless awareness, or mental silence [11, 12]. In this state, the attention is in the present moment, with full awareness of the surroundings, but with elimination of unnecessary thought activity [13]. In Hindu philosophy, this state of thoughtless awareness is also known as thuriya-avastha [14] and is akin to the awareness state that is being described in open monitoring meditation [15]. Perhaps due to the typical categorization of yoga as a program of physical relaxation, SY has been excluded from most prior reviews of meditation research. This article adds to the conversation by presenting a systematic review of research on the effects of SY on mental health.


The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews and meta-analyses [16] and the recommendations of the Cochrane Back Review group [17] were followed in the planning and the implementation of the review.

Identification and selection of studies

All publications on SY were eligible. The following databases were searched up through November 2017: PubMed, Medline, Scopus, and PsychINFO. The final data extraction date was 30 November 2017. Since the expected number of publication was low, all fields in the databases were searched using the term “sahaja yoga.” Furthermore, the references of the relevant publications were checked for additional eligible papers and an internet search (Google scholar,, was executed using the keyword mentioned above. Three authors of publications on SY were also contacted by e-mail. After removal of duplicates, a title-abstract review was done, after which all papers that were identified as publications on the effects of SY were screened. Studies that met the following criteria were fully analyzed: (i) full text available; (ii) randomized controlled trial studies, non-randomized controlled trial studies, cross-sectional studies, and controlled cohort studies; (iii) outcomes were related to mental health; (iv) participants were healthy adults or adults belonging to a clinical population. For each eligible publication, the following information was gathered: (i) name of the main author(s); (ii) year of publication; (iii) location; (iv) study design; (v) participants description; (vi) conditions; (vii) sample size per condition; (viii) mean age; (ix) percentage of female participants; (x) program information; (xi) outcome measures; (xii) instruments.

Quality assessment

Two reviewers independently rated each randomized controlled trial using five items for quality assessment from the Cochrane Risk of Bias Assessment Tool: (i) Selection bias – random sequence allocation; (ii) Selection bias – allocation concealment; (iii) Performance bias – blinding of outcome assessment; (iv) Attrition bias – completeness of outcome data; (v) Reporting bias – selective findings. Random sequence generation refers to the description of the method that was used to generate the allocation sequence. Allocation concealment refers the description of the method used to conceal the allocation sequence. Performance bias refers to the measures used to blind participants and researchers from any knowledge of which intervention participants received. Attrition bias refers to the completeness of the reporting of outcome data for the main outcomes, including attrition and exclusions of participants from the analysis. Reporting bias refers to bias due to selective outcome reporting [18]. One point was appointed for each criterion met. The quality of a study was assessed as “high” when a minimum of four criteria were met, “medium” when two or three criteria were met, and “low” when less than two criteria were met. Consensus between the two reviewers was reached through discussion. The quality of the non-randomized controlled trial, the cross-sectional studies, and the cohort study was assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS). The NOS employs three main study assessment criteria: (i) selection; (ii) comparability; (iii) exposure. In total, there are nine items and a maximum of nine points can be awarded [19]. The use of the NOS is endorsed by the Cochrane Collaboration to assess the quality of observational studies [17].

Effect size calculation

Where possible, effect sizes (Cohen’s d) were calculated by subtracting the average score of the experimental group from the average score of the control group, and dividing the outcome by the pooled standard deviations of both groups. This was done using outcome data at post-test level. Effect sizes of 0–0.32 can be considered as small, effect sizes of 0.33–0.55 as moderate, and effect sizes of 0.56–1.20 as large [20].


Study selection

Eleven studies met the selection criteria. Figure 1 outlines the selection process.

Flowchart of the inclusion of studies.
* records could be excluded for multiple reasons.
Citation: Journal of Complementary and Integrative Medicine 15, 3; 10.1515/jcim-2016-0163

Study characteristics

The studies included a total of 910 participants. Four studies (36.4%) were randomized controlled trials and four (36.4%) were cross-sectional studies. Other study designs were a non-randomized controlled trial (9.1%, n=1), a cross-sectional survey (9.1%, n=1), and a prospective cohort study (9.1%, n=1). Seven studies (63.6%) included healthy adults and four studies (35.4%) included adults with health problems (general health problems, asthma, anxiety/depressive symptoms, and major depression). Eight studies (72.7%) had an active control group and three studies (27.3%) had a non-active control group. Five studies (45.5%) examined the effects of a SY intervention compared to another form of intervention. Two studies (18.8%) compared effects between long-term and short-term practitioners of SY. Four studies (36.4%) compared long-term practitioners of SY to a control group of non-meditators. The mean age of the participants was 42.3 (SD=4.1) and the percentage of female participants was 57.6% (excluding three studies that did not report the gender of the participants). The characteristics of the studies can be found in Table 1.

Table 1:

Study characteristics

Authors, year countryDesignParticipantsConditions#Mean ageFemale %ProgramInstruments*Outcome
Aftanas and Golocheikine, 2001, Soviet Union [25]Cross-sectional

Healthy adults1. Short-term SY meditators1135.54.5%No program, EEG studyFeelings of bliss + (p<.014)

Mental activity – (p<.025)
2. Long-term SY meditators16
Aftanas and Golocheikine, 2003, Soviet Union [26]Cross-sectional studyHealthy adults1. Short-term SY meditators1135.254.5%No program, EEG studySTAI-t, TAS-20, EPQ,

Self-developed questionnaires
Trait anxiety – (p <.022)

Neuroticism – (p <.028)
2. Long-term SY meditators16Difficulties in identification of feelings – (p<.002)

Mental activity – (p<.025)

Happiness + (p <.014)
Aftanas and Golocheikine, 2005, Soviet Union [27]Cross-sectional

Healthy adults1. Long-term SY meditators2550%No program, EEG studySelf-developed questionnairesEmotional arousal – (p<.01)
2. Control group non-meditators25
Chung et al., 2012, India [28]Pros.

cohort study
Adults with general health problems1. SY

2. Conventional therapy


49.6%1. 1-week treatment at SY health center

2. TAU at hospital




Quality of Life + (p<.001)

Anxiety – (p<.001)
Hernandez et al., 2016, Spain [31]Cross-sectional

Healthy adults1. Long-term SY meditators2346.7 (11.2)73.9%No program, FMRI scanVoxel-based morphometry (VBM) with DARTELIncreased Grey Matter Volume
2. Control group non-meditators23
Manocha et al. 2002, Australia [21]RCTAdults with asthma1. SY

2. Relaxation/ CBT exercises

37.055.3%Both: 4 month, 2 h per week + 2 x daily 10-20 min. exercises at homeAQLQ

Mood + (p=.007)

Tension + (p=.005)

Fatigue – (p=.005)
Manocha et al., 2011, Australia [22]RCTHealthy adults1. SY

2. Relaxation

3. Waitlist





Both: 8-week: 2 x a week 60 min session, 2 x daily 10-20 min at homePSQ

Stress – (p=.026)

Depression – (p =.019)
Manocha et al., 2012, Australia [30]Cross-sectional

Healthy adults1. Long-term SY meditators

2. General population
34344 (13.4)61.4No program, surveySF-36

Bodily pain – (p = 0.002)

General health + (p = 0.001)

Vitality + (p = 0.001)

Social functioning +

(p = 0.001)

Role limitation emotional –

(p =0.001)

Mental health (p = 0.001)
Morgan, 2001, England [29]NRCTAdults with symptoms of anxiety, depression1. SY

2. CBT

3. Waitlist





Both: 6-week program, once a week 2-hour sessions.HADs

Anxiety – (p=.006)

Depression – (p =.001)
Schneider et al, 2010, Europe [24]NRCTHealthy adults1. SY

2. Waiting list

1. SY

2. Waiting list

1. SY

2. Hatha Yoga

3. Waiting list

1. SY

2. Waiting list




6-week program, two 45-minute sessions per week + daily meditation at home (recommended).PANAS


Positive Affect +

– Happiness + (p = .008)

– Fearlessness + (p = .016)

– Inspired + (p=.10) ns

Negative Affect –

– Sadness – (p=.001)

– Fatigue – (p=.001)

– Upset – (p=.003)

– Anger – (p=.003)

– Nervous – (p=.009)

– Lack of authenticity –

(p =.09)

– Dissatisfaction –

(p=.10) ns
Sharma et al., 2005, India [23]RCTAdults with major depression1. SY + medication

2. Non-active control group + medication


8-week program: 3 times a week a 30-minute session.HAM-D

Depression – (p <.001)

Anxiety – (p<.001)
AQLQ – Asthma Quality of Life Scale; CAS: Clinical Anxiety Scale; EPQ: Eysenck Personality Questionnaire; GHQ-12: General Health Questionnaire; HADs: Hospital Anxiety and Depression scale; HAM-A: Hamilton Rating Scale for Anxiety; HAM-D: Hamilton Rating Scale for Depression; MES: Multidimensional ethics scale; MLS: Meditation Lifestyle Survey; NS: not significant PANAS: Positive and Negative Affect Scale; POMS: Profile of Mood States; PSQ: Psychological Strain Questionnaire; SF-36: Medical Outcomes Study Short Form 36 Questionnaire ; STAI-t: State Trait Anxiety Inventory; TAS-20: Toronto Alexithymia Scale; WHOQOL-BREF: World Health Organization Quality of Life-BREF; WHOQOL-SRPB -Organization Quality of Life Spirituality, Religiousness and Personal Beliefs; WVS: World Values Survey
EEG studies conducted with 62 channel EEG, Scan 4.1.1. software, 128 channel ESI system, 64-channel QuickCap with imbedded AG/AgC1 electrodes
Self-developed questionnaires

Study measures

We reported on the following outcomes: depression, anxiety, stress, subjective well-being, and psychological well-being. Outcomes that were classified as subjective well-being included positive affect/negative affect, positive emotions, quality of life, general and mental health, mood, emotional functioning, and fatigue. Outcomes that were classified as psychological well-being included mental activity, self-control, compassion, and personal values.

Risk of bias/quality assessment of the studies

Randomized controlled trials

Results of assessment of the randomized controlled trials are shown in Table 2. Two studies had a low risk of bias on all five domains of assessment [21, 22] and were rated as high quality studies. The other study studies were rated as low quality studies. One of them [23] did not provide any information on the randomization process whatsoever, and there was insufficient information to the determine allocation concealment, blinding of subjective outcomes, and selective reporting. The other study [24] did not provide sufficient information to make a clear judgement of the risk of bias on four out of the five dimensions.

Table 2:

Outcome Cochrane Risk Assessment for Bias RCTs

Selection biasPerformance biasAttrition biasReporting biasTally
Random sequence allocationAllocation concealmentBlinding subjective outcomesCompleteness of outcome dataSelective reporting
Manocha, 2002111115/5
Manocha, 2011111115/5
Schneider, 2010000000/5
Sharma, 2005000000/5

Other study designs

The overall study quality was high. For the cross-sectional studies, the non-randomized controlled trial, and the prospective cohort study, we found that in all seven studies case definition was adequate. The selected cases seemed to be representative and the control groups were comparable to the intervention groups. Comparability and definition of controls was adequate in at least five studies. In all studies, the cases and controls were comparable on the age factor but in only two studies additional factors were reported. There was ascertainment of exposure as well as a complete report of non-response rates in all studies. Six studies also used the same method of ascertainment. Results of the assessment are shown in Table 3.

Table 3:

Outcome Newcastle-Ottawa Quality Assessment Scale

Aftanas, 20011110101117/9
Aftanas, 20031111101118/9
Aftanas, 20051111101118/9
Hernandez, 20151111111119/9
Manocha, 20121101101117/9
Morgan, 20111111101107/9
Chung, 20121110111017/9
S1a = Case definition; S1b = Ascertainment of exposure; S2 = Representativeness; S3 = Selection of controls;
S4 = Outcome not present at start; C1 = Definition of control; C2 = Age comparability; C3 = Other controlled factors; E1a = Ascertainment of exposure; E1b = Assessment of outcome; E2a = Same method of ascertainment; E2b = Adequate follow up time; E3= Non- response rate

Effect size calculation

Effect sizes are shown in Table 4. Effect size calculation was possible in three out of four randomized studies, and in one non-randomized study. The three cross-sectional interventions studies did not provide sufficient statistical information (mean and standard deviation at post-test level) to calculate effect sizes. These studies set out to investigate the differences in brain activity in long-term meditators of SY versus short-term meditators [25, 26] and long-term meditators versus non-meditators [27] and not to measure the effects of a SY intervention. Extended information on the primary outcomes (EEG measures) was reported in all studies, but information on the secondary outcomes (psychological effects) was less clearly presented. For example, two studies by Aftanas and Golocheikine (2001, 2003) only reported the mean outcomes at post-test level, but not the standard deviations, making effect size calculations impossible. One study did report pre–post measures, and though the results were listed in a figure, the exact values were not reported, making it impossible to calculate the effect sizes [27]. This was also the case in the study by Chung (2008) [28]. Finally, in one randomized study [24] that consisted of four different trials, the exact number of the participants in the control groups was not reported. Moreover, the study did not report mean, standard deviations of other outcome data that is necessary to calculate effect sizes. Authors were contacted, but did not provide the information after a second reminder.

Table 4:

Effect sizes of included RCTs and NRCT

Main authorDesignEffect size
Manocha, 2002RCT– SY vs. Relaxation/CBT on AQLQ Mood:

Cohen’s d= 0.48 (95%CI –0.04 to 0.10), p < 0.05
Manocha, 2011RCT– SY vs. no treatment on PSQ (stress): 

Cohen’s d = 0.30 (95%CI –0.19 to 0.70), p < 0.05

– Relaxation vs. no treatment on PSQ (stress):

Cohen’s d = –0.09 (95%CI –0.53 to –0.40), p < 0.001

– SY vs. no treatment on DD (depression): 

Cohen’s d= 0.90 (95%CI 0.46 to 1.33), p < 0.001

– Relaxation vs. no treatment on DD (depression): 

Cohen’s d= 0.60 (95%CI 0.13 to 1.01), p = 0.01
Morgan, 2001NRCT– SY vs. non active control on HADS anxiety:

Cohen’s d = 0.36 (95%CI –0.57 to 1.30), p < 0.001

– SY vs. non active control on HADS depression:

Cohen’s d = 0.24 (95%CI –0.67 to 1.17), p < 0.001
Sharma, 2005RCT– SY vs. active control group on HAM-D (depression):

Cohen’s d=0.75 (95%CI 0.01 to 1.50), p < 0.05

– SY vs. active control group on HAM-A (anxiety):

Cohen’s d=1.16 (95%CI 0.35 to 1.88), p < 0.001

The effects of Sahaja Yoga on mental health

We found results on the following outcomes: anxiety (four studies), depression (three studies), psychological well-being (three studies), stress (one study), and subjective wellbeing (five studies). The effects of SY on mental health are presented in Table 1 and Table 4.


The available research suggests that SY may have beneficial effects on depressive symptoms in healthy adults. One high quality randomized study [21] showed a significant reduction on depressive feelings. The effect size of SY vs. no treatment was high (d = 0.90, 95%CI 0.46–1.33). There is also an indication that SY may reduce depression in patients with a depressive order. A randomized study [23] reported a decrease of depression compared to the active control group, with an effect size of d = 0.75 (95%CI 0.01–1.50). This study, however, was of lower quality. Finally, a significant reduction of depression was found in a non-randomized study of high quality, which reported a small (d = 0.24, 95%CI −0.67 to 1.17) but significant improvement on depression with patients assessed to be primarily suffering from recognized symptoms of “anxiety,” with or without symptoms of depression [29].


There is evidence that SY reduces stress in healthy adults [22]. A high quality RCT reported a small effect size for SY vs. no treatment (d = 0.30, 95%CI −0.19 to 0.70), and there also was a small negative effect size for the relaxation control group vs. no treatment (d =−0.09, 95%CI −0.53 to −0.40).


There are indications that SY may decrease anxiety. One randomized study reported significant reductions in anxiety in patients suffering from depression, with a large effect size (d = 1.16, 95%CI 0.35–1.88) for SY vs. active control group [23]. A high quality non-randomized study also reported a significant decrease in anxiety, with an effect size of d = 0.36 (95%CI −0.57 to 1.30) [29]. Anxiety reducing effects of SY were also found in a cross-sectional EEG study among healthy adults. In addition to self-reported decreases in anxiety, EEG recordings also showed increased activation of alpha activity, which is associated with reduced levels of anxiety [26]. These findings are not conclusive, however. A randomized study did report a mean difference on state anxiety, but this difference failed to be significant [21].

Subjective well-being

A randomized controlled trial [24] among healthy adults reported a significant increase of positive affect (happiness, fearlessness, feeling inspired, integrity, feelings of bliss) and a decrease in negative affect (sadness, feeling upset, angry, nervous, emotional instability). A cross-sectional EEG study [25, 26] that compared the effects of SY meditation among long-term versus short-term meditators reported significantly more positive emotions in the group of long-term meditators and elevated scores of uneasiness and restlessness among the short-term meditators. These subjective findings correlate positively with measures of increased theta power in anterior frontal and frontal midline brain regions. Another cross-sectional EEG study compared long-term meditators to non-meditators that were exposed to an emotionally disturbing event. Long-term meditators reported less negative emotions (anger, anxiety, disgust, and contempt), and feelings of happiness did also not decrease in this group. The findings in this study also suggests that long-term practitioner of SY contributes to lower emotional reactivity after stressful events [27]. Furthermore, SY may increase mood and reduce tension and fatigue [21]. A RCT among adults with asthma reported a significant increase in mood compared to a relaxation/cognitive behavior therapy group with a strong moderate effect size of (d = 0.48, 95%CI −0.04 to 0.10). Improvements on mood subscales of tension and fatigue were also reported. It should be noted that the effects appear to be short-term; the follow-up two months after the intervention showed no significant differences [21]. Higher levels of quality of life (general health) were also found in a non-randomized controlled trial [29], a prospective cohort study [28], and a cross-sectional survey [30].

Psychological well-being

A randomized controlled trial [24] among 93 healthy adults reported significant increases of personal values (forgiveness, world of beauty, unity with nature, and preserving public image). A cross-sectional survey that compared 343 long-term SY meditators in Australia to the general population reported significant higher scores on general health, mental health, emotional and social functioning, and vitality [30]. Finally, a study that investigated regional differences in gray matter volume (GMV) using Voxel-Based Morphometry compared 23 experienced practitioners of SY meditation to 23 non-meditators. Larger GMV was found in the meditator group. Larger GMV is associated with more emotional control, feelings of compassion, and introceptive perception [31]. These findings suggest that long-term SY meditation practice may enhance the aforementioned cognitive-emotional functions and thereby may contribute to enhanced psychological well-being.


At first glance, SY meditation seems to have positive and significant effects on mental health. After reviewing the articles and taking the methodology and quality of the studies into account, it appears that SY is associated with reduced depression in both healthy adults, and in adults with a depressive disorder. SY is also associated with decreased anxiety and increased subjective and psychology well-being among healthy adults. Only one study found a small effect of SY on stress. Our findings on the effects of SY on depression, anxiety, and stress are in line with previous studies on the effects of yoga on these outcomes. For example, several meta-analyses on the effects of yoga among patients with cancer reported large reductions in distress, anxiety, and depression [32, 33, 34]. A meta-analysis on the effects of yoga on patients with depressive disorders and individuals with elevated levels of depression reported moderate short-term improvements on depression and anxiety [35], and another meta-analysis on the effects of yoga for prenatal depression also reported significant decreases in depression [36]. Improvements on subjective and psychological well-being in yoga research are less often reported. Some meta-analyses report increases in indicators of wellbeing, such as quality of life and positive effect [32, 33, 35], while other studies found no significant improvements in wellbeing [37, 38], or only improvements when yoga is compared to no intervention [39].

In regard to the study quality, we found that half of the RCTs in SY had a low risk of bias, and therefore can be qualified as studies of high quality. For the non-randomized controlled trial, the cross-sectional study and the cohort study the quality was also high. These findings are not in line with previous studies that examined the study quality in meditation and yoga research. Our findings suggest that the overall quality of studies on SY is higher than in studies on other forms of meditation and yoga. In general, the majority of randomized trials in the field of meditation suffer from a lack of methodological rigor [40]. A meta-analytic study reported that from the more than 3,000 articles on meditation that were published between 1973 and 2007, only four percent could be classified as randomized controlled trials. Although this study identified 133 randomized studies, after excluding studies that lacked methodological rigor (e.g. trials without an active control group, too few participants, no blinding procedures and not using appropriate methods of statistical analyses) only five high quality studies remained [2]. Although it appears that the growing interest in meditation, in particular mindfulness, has led to the publication of more randomized controlled studies since 2007, the quality of these studies is still not optimal. For example, a meta-analysis on meditation programs for psychological stress and well-being [10] included 47 randomized studies, of which 36 studies were published from 2007 up to 2013. Of these studies only eight were assessed having a good quality, 18 having a fair quality and nine having a poor quality. In summary, we can conclude that although there are limited number of studies on the effects of SY meditation, the large majority of the studies are of high quality, which is an exception to the rule in yoga research.

Strengths and limitations

In addition to the relative high quality of SY studies, another strength was the inclusion of four cross-sectional studies that provided evidence for positive effects on the basis of objective outcome measures (e. g. EEG, MRI scans), rather than subjective outcome measures (self-report questionnaires). The disadvantage of cross-sectional studies is that only association, and not causation can be inferred [41, 42]. A further limitation in our review was the small number of studies on the effects of SY, in particular the number of RCTs. In order to present an overview of the potential benefits of SY, we therefore included a non-randomized controlled trial and a prospective cohort study. With regard to non-randomized and cross-sectional trials, although these may offer weaker evidence for the efficacy of an intervention, it would be unwise to simply discard their findings. The validity of findings of such studies may depend on the quality of the trial. A non-randomized study that has a low risk of bias is comparable to a well-performed randomized trial, whereas trials that have a moderate or high risk of bias cannot be considered comparable [43].


In relation to SY research there are the following recommendations: First, more studies among different populations on the effects of SY are needed to make any firm conclusions on the effects of SY. These studies should maintain a high study quality. In case of controlled studies, we strongly advice that researchers report sufficient statistical data (e.g. means and standard deviations at post-test assessment), so effect sizes can be calculated. Second, the effects of SY on stress and anxiety should be explored further since the current evidence is weak. Third, although several studies report increases in feelings of happiness, fearlessness, bliss, and integrity, more research on the effect of SY in the development of positive qualities is needed to justify any such claims in this matter. In addition, more studies on the development of positive aspects such as resilience, subjective well-being, and personal values such as forgiveness, courage or transcendence are recommended. Finally, the psychological mechanisms that are applicable to SY should be investigated, to offer a rationale how the reported specific effects could be explained. These recommendations also stretch out to all forms of meditation research.


This research summarizes the effects of SY meditation on mental health. Our findings suggest that SY can reduce depression, anxiety, and increase subjective well-being. In addition, long-term practitioner of SY is associated with increased subjective and psychological well-being. However, due to the small number of publications definite conclusions on the effects of SY cannot be made.

The author would like to thank Prof. Dr. J. de Jong at the University of Amsterdam (UVA), Prof. Dr. P. Cuijpers and Dr. E. Karyotaki at the Vrije Universiteit Amsterdam (VU Amsterdam), Prof. Dr. T. Graafsma at the Institute of Graduate Studies and Research (IGSR) for their corrections and support. Mr. E. Joemai at ADEKUS is thanked for co-assessing the quality of the studies. Finally, Dr. C. Danyluck at the University of Colorado is thanked for his suggestions for improvements.

Author contributions: The author has accepted responsibility for the entire content of this submitted manuscript and approved submission.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Author Disclosure Statement: The author is a practitioner of Sahaja Yoga, but is not financially affiliated with the organization. This article is part of a PhD program, in which the author is supervised by academics that are not in any way linked to Sahaja Yoga. This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.


[1]↑Benson H, Klipper MZ. The relaxation response. New York: Harper Collins; 1992.
[2]↑Manocha R. Does meditation have a specific effect? A systematic experimental evaluation of a mental silence orientated definition. Sydney, NSW, Australia: University of New South Wales, Faculty of Medicine; 2008.
[3]↑Forfylow AL. Integrating yoga with psychotherapy: a complementary treatment for anxiety and depression. Can J Counselling Psychotherapy. 2011;45:132–50.
[4]↑Barnett JE, Shale AJ. The integration of Complementary and Alternative Medicine (CAM) into the practice of psychology: a vision for the future. Prof Psychol Res Pract. 2012;43:576.
[5]↑Austin S, Laeng S. Yoga. In: In J. L. Carlson (Eds.), Complementary therapies and wellness: practice essentials for holistic health care. Upper Saddle River, NJ: Pearson Education, 2002:282–94.
[6]↑Mehta P, Sharma M. Yoga as a complementary therapy for clinical depression. J Evid Based Complementary Altern Med. 2010;15:156–70.
[7]↑Ahrens AH, Forbes CN. Gratitude. In: Tugade MM, Shiota MN, Kirby LD, editors. Handbook of positive emotions. New York: Guilford Press, 2014:342–61.
[8]↑Fjorback LO, Arendt M, Ørnbø E, Fink P, Walach H. Mindfulness-based stress reduction and mindfulness-based cognitive therapy – a systematic review of randomized controlled trials. Acta Psychiatr Scand. 2011;124:102–19.
[9]↑Sedlmeijer P, Eberth J, Schwarz M, Zimmerman G, Haarig F, Jaeger S, et al. The psychological effects of meditation: a meta-analysis. Psychol Bull. 2012;138:1139–71.
[10]↑Goyal M, Singh S, Sibinga EM, Gould NF, Rowland-Seymour A, Sharma BZ, et al. Meditation programs of psychological stress and well-being. JAMA Intern Med. 2014;174:357–68.
[11]↑Hernandez SE, Suero J, Rubia K, Gonzalez-Mora JL. Monitoring the neural activity of the state of mental silence while practicing Sahaja Yoga meditation. J Altern Complement Med. 2015;21:177–79.
[12]↑Manocha R, Black D, Spiro D, Ryan J, Stough C. Changing definitions of meditation – is there a physiological corollary? Skin temperature changes of a mental silence orientated form of meditation compared to rest. J Int Soc Life Inf Sci. 2010;28:23–31.
[13]↑Rubia K. The neurobiology of meditation and its clinical effectiveness in psychiatric disorders. Biol Psychol. 2009;82:1–11.
[14]↑Ramamurthi B. The fourth state of consciousness: the Thuriya Avastha. Psychiatry Clin Neurosci. 1995;49:107–10.
[15]↑Lutz A, Jha AP, Dunne JD, Saron CD. Investigating the phenomenological matrix of mindfulness-related practices from a neurocognitive perspective. Am Psychol. 2015;70:632–58.
[16]↑Moher D, Liberati A, Teztlaff J, Altman DG. The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;51:1–7.
[17]↑Higgins JP, Green S., editors Tools for assessing methodological quality or risk of bias in non-randomized studies. In: Cochrane handbook for systematic reviews of interventions. London: John Wiley & Sons, 2011.
[18]↑Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomized trials. BMJ. 2011;343:d5928.
[19]↑Wells GA, Shea B, O’connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality if nonrandomized studies in meta-analyses. 2009. Epub Available at: Accessed: 19 Oct 2009, 2013.
[20]↑Lipsey MW, Wilson DB. The efficacy of psychological, educational, and behavioral treatment: confirmation from meta-analysis. Am Psychol. 1993;93:1181–209.
[21]↑Manocha R, Marks GB, Kenchington P, Peters D, Salome CM. Sahaja yoga in the management of moderate to severe asthma: a randomised controlled trial. Thorax. 2002;57:110–15.
[22]↑Manocha R, Black D, Sarris J, Stough C. A randomized, controlled trial of meditation for work stress, anxiety and depressed mood in full-time workers. Evid Based Complement Altern Med. 2011;2011:960583.
[23]↑Sharma VK, Das S, Mondal S, Goswami U, Gandhi A. Effect of sahaj yoga on depressive disorders. Indian J Physiol Pharmacol. 2005;49:462–68.
[24]↑Schneider S, Zollo M, Manocha R. Developing socially responsible behaviour in managers. J Corporate Citizenship. 2010;39:21–40.
[25]↑Aftanas LI, Golocheikine SA. Human Anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation on meditation. Neurosci Lett. 2001;310:57–60.
[26]↑Aftanas LI, Golocheikine SA. Changes in cortical activity in altered states of consciousness: the study of meditation by high resolution EEG. Hum Physiol. 2003;29:143–51.
[27]↑Aftanas LI, Golocheikine SA. Impact of regular meditation practice on EEG activity at rest and during evoked negative emotions. Int J Neurosci. 2005;115:893–909.
[28]↑Chung S, Brooks MM, Raid M, Balk JL, Rai S. Effect of Sahaja Yoga meditation on quality of life, anxiety, and blood pressure control. J Altern Complement Med. 2012;18:589–96.
[29]↑Morgan AJ. Sahaja Yoga: an ancient path to modern mental health?. Transpersonal Psychol Rev. 2000;4:41–49.
[30]↑Manocha R, Black D, Wilson L. Quality of life and functional health status of long-term meditators. Evid Based Complement Altern Med. 2012;2012:350674.
[31]↑Hernández SE, Suero J, Barros A, González-Mora JL, Rubia K. Increased grey matter associated with long-term sahaja yoga meditation: a voxel-based morphometry study. PloS ONE. 2016;11:e0150757.
[32]↑Buffart LM, Van Uffelen JG, Riphagen II, Brug J, van Mechelen W, Brown WJ, et al. Physical and psychosocial benefits of yoga in cancer patients and survivors, a systematic review and meta-analysis of randomized controlled trials. BMC Cancer. 2012;12:559.
[33]↑Cramer H, Lange S, Klose P, Paul A, Dobos G. Yoga for breast cancer patients and survivors: a systematic review and meta-analysis. BMC Cancer. 2012;12:412.
[34]↑Lin KY, Hu YT, Chang KJ, Lin HF, Tsauo JY. Effects of yoga on psychological health, quality of life, and physical health of patients with cancer: a meta-analysis. Evid Based Complement Altern Med. 2011;2011:659876.
[35]↑Cramer H, Lauche R, Langhorst J, Dobos G. Yoga for depression: a systematic review and meta‐analysis. Depress Anxiety. 2013;30:1068–83.
[36]↑Gong H, Ni C, Shen X, Wu T, Jiang C. Yoga for prenatal depression: a systematic review and meta-analysis. BMC Psychiatry. 2015;15:14.
[37]↑Cramer H, Lauche R, Klose P, Langhorst J, Dobos G. Yoga for schizophrenia: a systematic review and meta-analysis. BMC Psychiatry. 2013;13:32.
[38]↑Cramer H, Lauche R, Haller H, Dobos G. A systematic review and meta-analysis of yoga for low back pain. Clin J Pain. 2013;29:450–60.
[39]↑Hendriks T, de Jong J, Cramer H. The effects of yoga on positive mental health among healthy adults: a meta-analysis. J Altern Complement Med. 2017;23:505–17.
[40]↑Ospina MB, Bond K, Karkhaneh M, Tjosvold L, Vandermeer B, Liang Y, et al. Meditation practices for health: state of the research. Evidence Report Technology Assessments 2007;155:1–263.
[41]↑Sedgwick P. Cross sectional studies: advantages and disadvantages. BMJ Br Med J. 2014;348.
[42]↑Levin KA. Study design III: cross-sectional studies. Evid Based Dent. 2006;7:24.
[43]↑Sterne JA, Higgins JP, Reeves BC On behalf of the development group for ACROBAT-NRSI. A cochrane risk of bias assessment tool: for non-randomized studies of interventions (ACROBAT-NRSI), Version 1.0.0, 2014-10-11).
Received: 2016-12-12
Accepted: 2018-03-15
Published Online: 2018-05-30
Citation Information: Journal of Complementary and Integrative Medicine, Volume 15, Issue 3, 20160163, eISSN 1553-3840, DOI:
© 2018 Walter de Gruyter GmbH, Berlin/Boston.

Source: De Gruyter, Journal of Complementary and Integrative Medicine, Volume 15, Issue, Tom Hendricks,

Gray Matter and Functional Connectivity in Anterior Cingulate Cortex Are Associated With the State of Mental Silence During Sahaja Yoga Meditation

Sergio Elías Hernández 1 , Alfonso Barros-Loscertales 2 , Yaqiong Xiao 3 , José Luis González-Mora 4 , Katya Rubia 5
Affiliations expand
PMID: 29275207 DOI: 10.1016/j.neuroscience.2017.12.017
Free article


Some meditation techniques teach the practitioner to achieve the state of mental silence. The aim of this study was to investigate brain regions that are associated with their volume and functional connectivity (FC) with the depth of mental silence in long-term practitioners of Sahaja Yoga Meditation. Twenty-three long-term practitioners of this meditation were scanned using Magnetic Resonance Imaging. In order to identify the neural correlates of the depth of mental silence, we tested which gray matter volumes (GMV) were correlated with the depth of mental silence and which regions these areas were functionally connected to under a meditation condition. GMV in medial prefrontal cortex including rostral anterior cingulate cortex were positively correlated with the subjective perception of the depth of mental silence inside the scanner. Furthermore, there was significantly increased FC between this area and bilateral anterior insula/putamen during a meditation-state specifically, while decreased connectivity with the right thalamus/parahippocampal gyrus was present during the meditation-state and the resting-state. The capacity of long-term meditators to establish a durable state of mental silence inside an MRI scanner was associated with larger gray matter volume in a medial frontal region that is crucial for top-down cognitive, emotion and attention control. This is furthermore corroborated by increased FC of this region during the meditation-state with bilateral anterior insula/putamen, which are important for interoception, emotion, and attention regulation. The findings hence suggest that the depth of mental silence is associated with medial fronto-insular-striatal networks that are crucial for top-down attention and emotional control.

Increased Grey Matter Associated With Long-Term Sahaja Yoga Meditation: A Voxel-Based Morphometry Study

Sergio Elías Hernández 1 , José Suero 2 , Alfonso Barros 3 , José Luis González-Mora 4 , Katya Rubia 5
Affiliations expand
PMID: 26938433 PMCID: PMC4777419 DOI: 10.1371/journal.pone.0150757
Free PMC article


Objectives: To investigate regional differences in grey matter volume associated with the practice of Sahaja Yoga Meditation.

Design: Twenty three experienced practitioners of Sahaja Yoga Meditation and twenty three non-meditators matched on age, gender and education level, were scanned using structural Magnetic Resonance Imaging and their grey matter volume were compared using Voxel-Based Morphometry.

Results: Grey matter volume was larger in meditators relative to non-meditators across the whole brain. In addition, grey matter volume was larger in several predominantly right hemispheric regions: in insula, ventromedial orbitofrontal cortex, inferior temporal and parietal cortices as well as in left ventrolateral prefrontal cortex and left insula. No areas with larger grey matter volume were found in non-meditators relative to meditators.

Conclusions: The study shows that long-term practice of Sahaja Yoga Meditation is associated with larger grey matter volume overall, and with regional enlargement in several right hemispheric cortical and subcortical brain regions that are associated with sustained attention, self-control, compassion and interoceptive perception. The increased grey matter volume in these attention and self-control mediating regions suggests use-dependent enlargement with regular practice of this meditation.

Competing Interests: The authors have declared that no competing interests exist.

Source: National Library of Medicine, National Center for Biotechnology Information,