Articles by alphabetic order
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
 Ā Ī Ñ Ś Ū Ö Ō
1 2 3 4 5 6 7 8 9 0


Difference between revisions of "The Importance of Generation Stage Yidam Practice in Vajrayana"

From Tibetan Buddhist Encyclopedia
Jump to navigation Jump to search
(Created page with " Maria Kozhevnikov & Elizabeth McDougal Abstract We compared the neurophysiological correlates of Mahamudra (a meditative practice of Vajrayana Buddhism leading to e...")
 
 
Line 5: Line 5:
  
  
Maria Kozhevnikov & Elizabeth McDougal
+
Maria Kozhevnikov & [[Elizabeth]] McDougal
  
  
Line 12: Line 12:
  
  
We compared the neurophysiological correlates of Mahamudra (a meditative practice of Vajrayana Buddhism leading to emptiness realization) performed after a relaxed mental state versus Mahamudra performed after Generation Stage Yidam practice (visualizing oneself as a Tantric deity). The main goal of this  
+
We compared the [[neurophysiological]] correlates of [[Mahamudra]] (a [[meditative practice]] of [[Vajrayana Buddhism]] leading to [[emptiness]] [[realization]]) performed after a [[relaxed]] [[mental state]] versus [[Mahamudra]] performed after [[Generation Stage]] [[Yidam practice]] ([[visualizing]] oneself as a [[Tantric deity]]). The main goal of this  
  
study was to examine the role of Yidam practice in reaching the state of Rig-pa from a scientific perspective. The electroencephalographic (EEG) data from 7 nuns and 9 monks were recorded during 15 minutes of rest followed by 15 minutes of Mahamudra meditation at one time of the day, and 15 minutes of Yidam  
+
study was to examine the role of [[Yidam practice]] in reaching the [[state]] of [[Rig-pa]] from a [[scientific]] {{Wiki|perspective}}. The {{Wiki|electroencephalographic}} ({{Wiki|EEG}}) {{Wiki|data}} from 7 [[nuns]] and 9 [[monks]] were recorded during 15 minutes of rest followed by 15 minutes of [[Mahamudra meditation]] at one time of the day, and 15 minutes of [[Yidam]]
  
followed by 15 minutes of Mahamudra later during the same day. The results showed significant differences between Mahamudra performed after rest versus after Yidam. The EEG data also showed there were significant differences between the two types of Mahamudra, with more power in the beta and gamma bands  
+
followed by 15 minutes of [[Mahamudra]] later during the same day. The results showed significant differences between [[Mahamudra]] performed after rest versus after [[Yidam]]. The {{Wiki|EEG}} {{Wiki|data}} also showed there were significant differences between the two types of [[Mahamudra]], with more power in the beta and gamma bands  
  
during Maha- mudra after Yidam practice. Overall, the neurophysiological correlates of Mahamudra performed after rest resemble those of Mindfulness or Vipassana (Theravada styles of meditation) reported in previous studies. In contrast, Mahamudra after Yidam practice exhibited a unique pattern of  
+
during [[Maha]]- [[mudra]] after [[Yidam practice]]. Overall, the [[neurophysiological]] correlates of [[Mahamudra]] performed after rest resemble those of [[Mindfulness]] or [[Vipassana]] ([[Theravada]] styles of [[meditation]]) reported in previous studies. In contrast, [[Mahamudra]] after [[Yidam practice]] exhibited a unique pattern of  
  
neurophysiological correlates, indicating a significantly more energetic state of body and mind. Thus,   
+
[[neurophysiological]] correlates, indicating a significantly more energetic [[state]] of [[body]] and [[mind]]. Thus,   
Yidam practice is shown to have an important role in facilitating the achievement of a wakeful state of Rig-pa through the use of visual imagery and the emotional arousal associated with it.
+
[[Yidam practice]] is shown to have an important role in facilitating the [[achievement]] of a wakeful [[state]] of [[Rig-pa]] through the use of [[visual]] [[imagery]] and the [[emotional]] arousal associated with it.
  
  
Line 27: Line 27:
  
  
The past two decades has seen a significant amount of Western scientific research on neural and cognitive correlates related to meditation. The bulk of this scientific re¬search has studied Vipassana, Shamatha, and Zen mindfulness techniques of the Theravada and Mahayana Buddhist traditions and, far fewer  
+
The {{Wiki|past}} two decades has seen a significant amount of [[Western]] [[scientific]] research on neural and [[Wikipedia:cognition|cognitive]] correlates related to [[meditation]]. The bulk of this [[scientific]] re¬search has studied [[Vipassana]], [[Shamatha]], and [[Zen]] [[mindfulness]] [[techniques]] of the [[Theravada]] and [[Mahayana]] [[Buddhist traditions]] and, far fewer  
  
studies on Vajrayana Buddhist meditation has been conducted. Few studies have investigated the neural correlates of non-conceptual awareness styles of meditation, referred to in scientific literature as Open Presence, Rig-pa , or Nondual Awareness, including Vajrayana “Completion Stage” meditations of  
+
studies on [[Vajrayana]] [[Buddhist meditation]] has been conducted. Few studies have investigated the {{Wiki|neural correlates}} of [[non-conceptual awareness]] styles of [[meditation]], referred to in [[scientific]] {{Wiki|literature}} as Open Presence, [[Rig-pa]] , or [[Nondual Awareness]], [[including]] [[Vajrayana]] “[[Completion Stage]]” [[meditations]] of  
  
Dzog¬chen and Mahamudra that aim to realize emptiness (Lutz, Dunne, & Davidson, 2007). However, “Generation Stage” practices core to Vajrayana Buddhism, involving visualiza¬tion of a Yidam (Tib: yi dam; a Tantric meditational deity), have been largely ignored. Only a few recent studies have shown the  
+
Dzog¬chen and [[Mahamudra]] that aim to realize [[emptiness]] (Lutz, [[Dunne]], & Davidson, 2007). However, “[[Generation Stage]]” practices core to [[Vajrayana Buddhism]], involving visualiza¬tion of a [[Yidam]] (Tib: [[yi dam]]; a [[Tantric]] [[meditational deity]]), have been largely ignored. Only a few recent studies have shown the  
  
significant effect of Yidam practice on enhancing cognitive capacities, not through relaxation, but through the use of visual imagery and emotional arousal (activation of the sympathetic nervous system) when the practitioner is required to imagine his/her mind, emotions, and feelings as those of a specific deity (Amihai & Kozhevnikov, 2014; Kozhevnikov et al., 2009).
+
significant effect of [[Yidam practice]] on enhancing [[Wikipedia:cognition|cognitive]] capacities, not through [[relaxation]], but through the use of [[visual]] [[imagery]] and [[emotional]] arousal (activation of the sympathetic {{Wiki|nervous system}}) when the [[practitioner]] is required to [[imagine]] his/her [[mind]], [[emotions]], and [[feelings]] as those of a specific [[deity]] (Amihai & Kozhevnikov, 2014; Kozhevnikov et al., 2009).
  
  
The neglect of Generation Stage Yidam practice is not only taking place in communities of scientific research on meditation but also among the Vajrayana practices. While in most Vajrayana schools, “Generation Stage” Yidam practice precedes the “Completion Stage” meditation pertaining to realization of emptiness, there are also cases when Yidam practice is not considered essential. Furthermore, in some contemporary settings where Vajrayana is being taught  
+
The neglect of [[Generation Stage]] [[Yidam practice]] is not only taking place in communities of [[scientific]] research on [[meditation]] but also among the [[Vajrayana practices]]. While in most [[Vajrayana]] schools, “[[Generation Stage]]” [[Yidam practice]] precedes the “[[Completion Stage]]” [[meditation]] pertaining to [[realization of emptiness]], there are also cases when [[Yidam practice]] is not considered [[essential]]. Furthermore, in some contemporary settings where [[Vajrayana]] is being [[taught]]
  
and practiced, particularly in the West, the traditional centrality of Yidam practice is diminishing or being bypassed altogether. Some Tibetan lamas in the West sometimes omit Yidam practice in their teachings, guiding students accord¬ing to a Western rational worldview that prefers a direct approach to higher Dzogchen and Mahamudra meditations.
+
and practiced, particularly in the [[West]], the [[traditional]] centrality of [[Yidam practice]] is diminishing or being bypassed altogether. Some [[Tibetan lamas]] in the [[West]] sometimes omit [[Yidam practice]] in their teachings, guiding students accord¬ing to a [[Western]] [[rational]] worldview that prefers a [[direct approach]] to higher [[Dzogchen]] and [[Mahamudra]] [[meditations]].
  
Generation Stage Yidam practice involves visualization and mantra recitation of a meditational deity, often surrounded by the deity's mandala, or entourage. The content of Yidam visualization is rich and multimodal, requiring the generation of colorful three-dimensional images (e.g. the deity's body,  
+
[[Generation Stage]] [[Yidam practice]] involves [[visualization]] and [[mantra recitation]] of a [[meditational deity]], often surrounded by the [[deity's]] [[mandala]], or entourage. The content of [[Yidam]] [[visualization]] is rich and multimodal, requiring the generation of colorful three-dimensional images (e.g. the [[deity's]] [[body]],  
  
ornaments, and environment), as well as representations of sensorimotor body schema, feelings, and emotions of the deity. The image temporarily replaces one's sense of egotistic self and perception of the real world (Gyatrul, 1996). Completion Stage has two sub¬categories: Completion Stage with Signs, involving subtle- body yogas like tummo (Tib. gtum mo) and dream yoga that work with psychophysical energies and their pathways in the human body; and  
+
ornaments, and {{Wiki|environment}}), as well as {{Wiki|representations}} of sensorimotor [[body]] {{Wiki|schema}}, [[feelings]], and [[emotions]] of the [[deity]]. The image temporarily replaces one's [[sense]] of egotistic [[self]] and [[perception]] of the real [[world]] (Gyatrul, 1996). [[Completion Stage]] has two sub¬categories: [[Completion Stage]] with [[Signs]], involving {{Wiki|subtle}}- [[body]] [[yogas]] like [[tummo]] (Tib. [[gtum mo]]) and [[dream yoga]] that work with {{Wiki|psychophysical}} energies and their pathways in the [[human body]]; and  
  
  
Completion Stage without Signs, involving non-conceptual Dzogchen and/or Mahamudra meditation that directly recognizes and abides in the essential nature of mind (or emptiness). This Completion Stage realization of the essential nature of mind is referred to as “Rig-pa” (Tib: rig pa) in the Dzogchen tradition.
+
[[Completion Stage]] without [[Signs]], involving [[non-conceptual]] [[Dzogchen]] and/or [[Mahamudra meditation]] that directly [[recognizes]] and abides in the [[essential nature of mind]] (or [[emptiness]]). This [[Completion Stage]] [[realization]] of the [[essential nature of mind]] is referred to as “[[Rig-pa]]” (Tib: [[rig pa]]) in the [[Dzogchen tradition]].
  
In Vajrayána, visualization of oneself as a Yidam deity is what constitutes the practice of Generation Stage (Tib: bskyed rim), the first stage of the meditation practice (Sogyal Rinpoche, 1990). The very terms “Generation” and “Com¬pletion” Stages indicate a developmental process leading to completion.  
+
In Vajrayána, [[visualization]] of oneself as a [[Yidam deity]] is what constitutes the practice of [[Generation Stage]] (Tib: [[bskyed rim]]), the first stage of the [[meditation practice]] ([[Sogyal Rinpoche]], 1990). The very terms “Generation” and “Com¬pletion” Stages indicate a developmental process leading to completion.  
  
Traditionally, Vajrayána meditators in Tibet usually practice Completion Stage Dzogchen and/or Mahamudra after years of preliminary Generation Stage training that psychologically prepares the meditator for subtlest states of consciousness. Although there are occasional instances of spontaneous “Rig-pa”
+
[[Traditionally]], Vajrayána [[meditators]] [[in Tibet]] usually practice [[Completion Stage]] [[Dzogchen]] and/or [[Mahamudra]] after years of preliminary [[Generation Stage]] {{Wiki|training}} that {{Wiki|psychologically}} prepares the [[meditator]] for subtlest [[states of consciousness]]. Although there are occasional instances of spontaneous “[[Rig-pa]]”
  
or Comple-tion Stage realization among Vajrayána practitioners, these instances have almost always been preceded by earlier cultivation of Generation Stage practices (Gebchak Urgyen Chodron, personal communication, 2006).
+
or Comple-tion Stage [[realization]] among Vajrayána practitioners, these instances have almost always been preceded by earlier [[cultivation]] of [[Generation Stage]] practices (Gebchak [[Urgyen]] Chodron, personal [[communication]], 2006).
  
  
During Completion Stage meditation (i.e. Mahamudra or Dzogchen), which follows the final stage of Yidam meditation, a meditator visualizes the dissolution of the deity and its entourage into emptiness and then abides in non-conceptual awareness. In Mahamudra or Dzogchen, the meditator's attention is evenly distributed so that it is not directed toward any object or experience. Although various aspects of experience may arise (e.g. thoughts, feelings, images,  
+
During [[Completion Stage]] [[meditation]] (i.e. [[Mahamudra]] or [[Dzogchen]]), which follows the final stage of [[Yidam meditation]], a [[meditator]] [[visualizes]] the dissolution of the [[deity]] and its entourage into [[emptiness]] and then abides in [[non-conceptual awareness]]. In [[Mahamudra]] or [[Dzogchen]], the [[meditator's]] [[attention]] is evenly distributed so that it is not directed toward any [[object]] or [[experience]]. Although various aspects of [[experience]] may arise (e.g. [[thoughts]], [[feelings]], images,  
  
etc.), the meditator is instructed to let them subside in their own empty nature, without dwelling on them or examining them (Goleman, 1996).
+
etc.), the [[meditator]] is instructed to let them subside in their [[own]] [[empty nature]], without dwelling on them or examining them (Goleman, 1996).
Considering the strong emphasis on Generation Stage Yidam practice at every level of traditional Vajrayána meditation training, and its weakening in contemporary settings, it is timely to question the value of Yidam practice from a scientific perspective. Although a few previous scientific studies have  
+
Considering the strong {{Wiki|emphasis}} on [[Generation Stage]] [[Yidam practice]] at every level of [[traditional]] Vajrayána [[meditation]] {{Wiki|training}}, and its weakening in contemporary settings, it is timely to question the value of [[Yidam practice]] from a [[scientific]] {{Wiki|perspective}}. Although a few previous [[scientific]] studies have  
  
been conducted on Completion Stage Mahamudra and Dzogchen meditations, they have not been able to distinguish these Vajrayána Competition Stage meditations from meditations of other Buddhist traditions, such as Vipassana or Mindfulness that require distributed attention and open monitoring (Lutz et al., 2007). It is important to note that this previous research has studied these meditations outside of their original Vajrayana context of Generation and Completion Stage training.
+
been conducted on [[Completion Stage]] [[Mahamudra]] and [[Dzogchen meditations]], they have not been able to distinguish these Vajrayána Competition Stage [[meditations]] from [[meditations]] of other [[Buddhist traditions]], such as [[Vipassana]] or [[Mindfulness]] that require distributed [[attention]] and open monitoring (Lutz et al., 2007). It is important to note that this previous research has studied these [[meditations]] outside of their original [[Vajrayana]] context of [[Generation and Completion]] Stage {{Wiki|training}}.
  
  
The main goal of this study was to examine the role of Generation Stage Yidam practice in reaching the state of Rig- pa, or pure Mahamudra awareness, from a scientific perspective. In this study we compared the difference in brain dynamics of Mahamudra meditation following rest and of Mahamudra following Yidam practice. Our first hypothesis was that that the brain dynamism as measured by EEG recordings for Mahamudra meditation performed after rest will be different from that of Mahamudra perform¬ed after Yidam practice.
+
The main goal of this study was to examine the role of [[Generation Stage]] [[Yidam practice]] in reaching the [[state]] of Rig- pa, or [[pure]] [[Mahamudra]] [[awareness]], from a [[scientific]] {{Wiki|perspective}}. In this study we compared the difference in {{Wiki|brain}} dynamics of [[Mahamudra meditation]] following rest and of [[Mahamudra]] following [[Yidam practice]]. Our first {{Wiki|hypothesis}} was that that the {{Wiki|brain}} {{Wiki|dynamism}} as measured by {{Wiki|EEG}} recordings for [[Mahamudra meditation]] performed after rest will be different from that of [[Mahamudra]] perform¬ed after [[Yidam practice]].
  
  
===Research method and data results===
+
===Research method and {{Wiki|data}} results===
  
  
Participants: The study was conducted in Bhutan under the guidance of H.E. Gyaltshen Tulku Rinpoche, a respected retreat master in the Drukpa Kagyu lineage. Sixteen of his experienced retreat nuns and monks, who follow the Drukpa Kagyu lineage of Vajrayana training and Maha- mudra meditation, participated in the study. These partici¬pants (7 nuns and 9 monks) had a mean age of 42.5, and an average of 8 years of meditation experience. The partici¬pants provided written, informed consent for their particip¬ation in the study. The study was approved by the National University of Singapore's review board.
+
Participants: The study was conducted in [[Bhutan]] under the guidance of H.E. [[Gyaltshen]] [[Tulku]] [[Rinpoche]], a respected [[retreat master]] in the [[Drukpa Kagyu lineage]]. Sixteen of his [[experienced]] [[retreat]] [[nuns]] and [[monks]], who follow the [[Drukpa Kagyu lineage]] of [[Vajrayana]] {{Wiki|training}} and [[Maha]]- [[mudra]] [[meditation]], participated in the study. These partici¬pants (7 [[nuns]] and 9 [[monks]]) had a mean age of 42.5, and an average of 8 years of [[meditation]] [[experience]]. The partici¬pants provided written, informed consent for their particip¬ation in the study. The study was approved by the [[National University]] of Singapore's review board.
  
  
Procedure: The data for the seven nuns was recorded at Gyaltshen Rinpoche's retreat center in Trashigang (Eastern Bhutan), while the data from the experiments with monks was collected in Thimphu. EEG data was continuously recorded throughout the study.
+
Procedure: The {{Wiki|data}} for the seven [[nuns]] was recorded at [[Gyaltshen]] [[Rinpoche's]] [[retreat]] center in Trashigang (Eastern [[Bhutan]]), while the {{Wiki|data}} from the experiments with [[monks]] was collected in [[Thimphu]]. {{Wiki|EEG}} {{Wiki|data}} was continuously recorded throughout the study.
 
   
 
   
Plate 1: Participants doing meditation
+
Plate 1: Participants doing [[meditation]]
  
At the beginning of the session, each participant sat for 15 minutes of rest, during which they were explicitly instructed not to meditate but to remain seated with their eyes closed, and to simply relax. Following a 5-minute break, the participants were asked to perform 15 minutes of Mahamudra meditation.  
+
At the beginning of the session, each participant sat for 15 minutes of rest, during which they were explicitly instructed not to [[meditate]] but to remain seated with their [[eyes]] closed, and to simply [[relax]]. Following a 5-minute break, the participants were asked to perform 15 minutes of [[Mahamudra meditation]].  
  
At a later time on the same day, the participants first performed 15 minutes of Yidam medita¬tion, followed by 15 minutes of Mahamudra meditation.
+
At a later time on the same day, the participants first performed 15 minutes of [[Yidam]] medita¬tion, followed by 15 minutes of [[Mahamudra meditation]].
EEG Recordings and Protocol: EEG was continuously recorded at the Fp1. Fp2, F3, Fz, F4, F7, F8, T3, T4, T5, C3, Cz, C4, P3, Pz, P4, O1, O2. scalp regions positioned according to the standard 20 channel system using a B-Alert portable EEG cap (Advanced Brain Monitoring, Inc.), as well as from two additional  
+
{{Wiki|EEG}} Recordings and Protocol: {{Wiki|EEG}} was continuously recorded at the Fp1. Fp2, F3, Fz, F4, F7, F8, T3, T4, T5, C3, Cz, C4, P3, Pz, P4, O1, O2. scalp regions positioned according to the standard 20 [[channel]] system using a B-Alert portable {{Wiki|EEG}} cap (Advanced {{Wiki|Brain}} Monitoring, Inc.), as well as from two additional  
  
electrodes placed on the right and left mastoids. EEG was sampled at 256 Hz and referenced to the average between the two mastoid electrodes. Signals showing ocular and muscular artifacts were manually excluded from the study, and a high-band pass filter of 0.1 Hz was applied to the EEG data. Moreover, a digital notch filter was applied to the data at 50 Hz to remove artifacts caused by nearby electrical devices.
+
electrodes placed on the right and left mastoids. {{Wiki|EEG}} was sampled at 256 Hz and referenced to the average between the two mastoid electrodes. Signals showing ocular and muscular {{Wiki|artifacts}} were manually excluded from the study, and a high-band pass filter of 0.1 Hz was applied to the {{Wiki|EEG}} {{Wiki|data}}. Moreover, a digital notch filter was applied to the {{Wiki|data}} at 50 Hz to remove {{Wiki|artifacts}} [[caused]] by nearby electrical devices.
  
 
Spectral Analysis: For each electrode and 1-second epoch, the power spectral distribution (PSD) was calculated using Welch's method (Welch, 1967), where power values are averaged and a 512-millisecond time window is applied. Subsequently, the mean power at the Delta (1-4 Hz), Theta (4.5-7.5 Hz), Alpha (8.5-12.5 Hz), Beta (13-25 Hz), and Gamma (35-44.5 Hz, 60-95.5 Hz, 110-128 Hz) frequencies were used as the dependent variables in the analyses. Importantly, we  
 
Spectral Analysis: For each electrode and 1-second epoch, the power spectral distribution (PSD) was calculated using Welch's method (Welch, 1967), where power values are averaged and a 512-millisecond time window is applied. Subsequently, the mean power at the Delta (1-4 Hz), Theta (4.5-7.5 Hz), Alpha (8.5-12.5 Hz), Beta (13-25 Hz), and Gamma (35-44.5 Hz, 60-95.5 Hz, 110-128 Hz) frequencies were used as the dependent variables in the analyses. Importantly, we  
  
analyzed only a 3-minute epoch at the end of the meditation period, during which the meditators were most likely to be in a deep meditative state.
+
analyzed only a 3-minute epoch at the end of the [[meditation]] period, during which the [[meditators]] were most likely to be in a [[deep meditative state]].
First, the mean power at the Delta, Theta, Alpha, Beta, and Gamma frequencies across all 18 electrodes for Maha- mudra after Yidam (Mahamudra 2; M2) and  
+
First, the mean power at the Delta, Theta, Alpha, Beta, and Gamma frequencies across all 18 electrodes for [[Maha]]- [[mudra]] after [[Yidam]] ([[Mahamudra]] 2; M2) and  
  
Mahamudra without Yidam (Mahamudra 1; M1) were compared using within subject ANOVAs, with Condition (Rest, Mahamudra 1, Yidam, Mahamudra 2) as a within-subject variable. Then, we divided the scalp into 4 regions, each of which consisted of an average of several electrodes that were selected according to  
+
[[Mahamudra]] without [[Yidam]] ([[Mahamudra]] 1; M1) were compared using within [[subject]] ANOVAs, with [[Condition]] (Rest, [[Mahamudra]] 1, [[Yidam]], [[Mahamudra]] 2) as a within-subject variable. Then, we divided the scalp into 4 regions, each of which consisted of an average of several electrodes that were selected according to  
their location: Temporal- T3, T4, T5; Frontal - Fp1, Fp2, F3, Fz, F4; Central- C3, Cz, C4. Parietal - P3, Pz, P4, and Occipital (O1, O2), and conducted paired-samples t- test to examine the differences between M1 and M2 meditations for different scalp locations.
+
their location: Temporal- T3, T4, T5; Frontal - Fp1, Fp2, F3, Fz, F4; Central- C3, Cz, C4. Parietal - P3, Pz, P4, and Occipital (O1, O2), and conducted paired-samples t- test to examine the differences between M1 and M2 [[meditations]] for different scalp locations.
  
  
Line 94: Line 94:
  
  
We compared the mean power at the Delta, Theta, Alpha, Beta, and Gamma frequencies across all 18 electrodes for Rest, M1, Yidam, and M2 conditions. The results for within-subject ANOVA revealed significant differences between all four conditions for delta: F(3,45) = 3.91, p < 0.01, There was a significant  
+
We compared the mean power at the Delta, Theta, Alpha, Beta, and Gamma frequencies across all 18 electrodes for Rest, M1, [[Yidam]], and M2 [[conditions]]. The results for within-subject ANOVA revealed significant differences between all [[four conditions]] for delta: F(3,45) = 3.91, p < 0.01, There was a significant  
  
decrease in delta for M1 and M2 conditions (p < 0.05) but not during Yidam (p = 0.2) in comparison to Rest. No differences, however, were observ¬ed between M1 and M2 (p=0.48). As for theta, there was no significant difference between all 4 conditions: F(3,45) = 0.81, p = 0.4. 
+
{{Wiki|decrease}} in delta for M1 and M2 [[conditions]] (p < 0.05) but not during [[Yidam]] (p = 0.2) in comparison to Rest. No differences, however, were observ¬ed between M1 and M2 (p=0.48). As for theta, there was no significant difference between all 4 [[conditions]]: F(3,45) = 0.81, p = 0.4. 
  
  
For alpha, there was also no significant difference between 4 conditions, a F(3,45) = 1.17, p = 0,4, although there was a marginal decrease for alpha during M1 in comparison with Rest (p=0.1), and there was also a slight difference between M1 and M2 (p=0.1). Below are the graphs repre¬senting mean power for delta and alpha.
+
For alpha, there was also no significant difference between 4 [[conditions]], a F(3,45) = 1.17, p = 0,4, although there was a marginal {{Wiki|decrease}} for alpha during M1 in comparison with Rest (p=0.1), and there was also a slight difference between M1 and M2 (p=0.1). Below are the graphs repre¬senting mean power for delta and alpha.
 
   
 
   
For beta, the difference between 4 conditions was significant, F(3,45) = 3.07, p < 0.05. There was a significant decrease for beta during M1 in comparison with Rest, and also, there were significant differences for mean power beta between M1 and M2 (p < 0.05). Furthermore, there was only a marginal difference  
+
For beta, the difference between 4 [[conditions]] was significant, F(3,45) = 3.07, p < 0.05. There was a significant {{Wiki|decrease}} for beta during M1 in comparison with Rest, and also, there were significant differences for mean power beta between M1 and M2 (p < 0.05). Furthermore, there was only a marginal difference  
between all 4 conditions for gamma, F(3,45) = 2.109, p = 0.1; there was a marginally significant  
+
between all 4 [[conditions]] for gamma, F(3,45) = 2.109, p = 0.1; there was a marginally significant  
decrease in gamma during M1 (p=0.05), and there was a marginally significant difference between gamma during M1 and M2 (p = 0.06). The graphs for beta and gamma are below:
+
{{Wiki|decrease}} in gamma during M1 (p=0.05), and there was a marginally significant difference between gamma during M1 and M2 (p = 0.06). The graphs for beta and gamma are below:
 
   
 
   
  
Line 109: Line 109:
 
   
 
   
  
Overall, the patterns for M1 and M2 somewhat resemble Theravada styles of meditation, such as Vipassana or Shamatha (see Amihai & Kozhevnikov, 2014 for a review). Specifically, delta power was shown to be reduced during Vipassana and Shamatha, in comparison with Rest, similar to the decrease in delta power for M1 and M2 (but not for Yidam). As for theta, similar to the results of Vipassana and Shamatha meditations (Amihai & Kozhevnikov, 2014), no changes in theta were observed during M1, M2 and Yidam practice in comparison to Rest.
+
Overall, the patterns for M1 and M2 somewhat resemble [[Theravada]] styles of [[meditation]], such as [[Vipassana]] or [[Shamatha]] (see Amihai & Kozhevnikov, 2014 for a review). Specifically, delta power was shown to be reduced during [[Vipassana]] and [[Shamatha]], in comparison with Rest, similar to the {{Wiki|decrease}} in delta power for M1 and M2 (but not for [[Yidam]]). As for theta, similar to the results of [[Vipassana]] and [[Shamatha]] [[meditations]] (Amihai & Kozhevnikov, 2014), no changes in theta were observed during M1, M2 and [[Yidam practice]] in comparison to Rest.
  
  
As for alpha power, previous neuroscience research (Klimesch, 1999; Strijkstra et al., 2003) also showed that decreased Alpha power is associated with deep relaxation, Mindfulness, and Vipassana meditations, while increases in Alpha are associated with wakefulness, attention, and task load. In this study, alpha power slightly decreases for M1; M2, in contrast, is not different from Rest, and there is an increase in alpha power from M1 to Yidam, and then to M2. This suggests that M2 represents a more wakeful state in comparison with M1, achieved through Yidam practice.
+
As for alpha power, previous {{Wiki|neuroscience}} research (Klimesch, 1999; Strijkstra et al., 2003) also showed that decreased Alpha power is associated with deep [[relaxation]], [[Mindfulness]], and [[Vipassana]] [[meditations]], while increases in Alpha are associated with wakefulness, [[attention]], and task load. In this study, alpha power slightly {{Wiki|decreases}} for M1; M2, in contrast, is not different from Rest, and there is an increase in alpha power from M1 to [[Yidam]], and then to M2. This suggests that M2 represents a more wakeful [[state]] in comparison with M1, achieved through [[Yidam practice]].
  
  
For beta power, it has been shown to decrease during Theravada styles of meditation (Amihai & Kozhevnikov, 2014), similar to M1 in this study. M2 is also not significantly different from M1. Finally, for gamma, previous studies (Cahn, Delorme, & Polich, 2010) have shown increases during Vipassana styles of meditation. We, however, observed significant decreases in gamma for M1 with an increase of gamma to Yidam and then M2.
+
For beta power, it has been shown to {{Wiki|decrease}} during [[Theravada]] styles of [[meditation]] (Amihai & Kozhevnikov, 2014), similar to M1 in this study. M2 is also not significantly different from M1. Finally, for gamma, previous studies (Cahn, Delorme, & Polich, 2010) have shown increases during [[Vipassana]] styles of [[meditation]]. We, however, observed significant {{Wiki|decreases}} in gamma for M1 with an increase of gamma to [[Yidam]] and then M2.
  
Overall, M2 represents a more wakeful state in comparison with M1, as it is indicated in increased alpha power for M2 in comparison with M1, and higher gamma power for M2 than M1. To examine which scalp location contributed to the significant difference described between M1 and M2 we conducted paired-samples t-test (2-sided) to compare alpha, beta, and gamma mean power between M1 and M2.
+
Overall, M2 represents a more wakeful [[state]] in comparison with M1, as it is indicated in increased alpha power for M2 in comparison with M1, and higher gamma power for M2 than M1. To examine which scalp location contributed to the significant difference described between M1 and M2 we conducted paired-samples t-test (2-sided) to compare alpha, beta, and gamma mean power between M1 and M2.
  
  
Line 127: Line 127:
 
Finally for gamma, there was a significant difference between M1 and M2 in the central area, t(15) = 2.38, p -0.03, and there was also a slight marginal difference in the parietal area, t(15) = 1.677, p = 0.1.
 
Finally for gamma, there was a significant difference between M1 and M2 in the central area, t(15) = 2.38, p -0.03, and there was also a slight marginal difference in the parietal area, t(15) = 1.677, p = 0.1.
  
Previous studies have demonstrated that changes in beta power and high gamma-band oscillations play an important role in sensorimotor control (Muthukumara- swamy, 2013; Gaetz et al., 2013). Furthermore, alpha modulation is often observed simultaneously with central beta changes. The predominant hypothesis is  
+
Previous studies have demonstrated that changes in beta power and high gamma-band oscillations play an important role in sensorimotor control (Muthukumara- swamy, 2013; Gaetz et al., 2013). Furthermore, alpha modulation is often observed simultaneously with central beta changes. The predominant {{Wiki|hypothesis}} is  
  
that alpha and beta band activity reflect the coordination of a motor act with sensory (e.g. movement cues) and cognitive processes (Cheynem, 2013; Kilavik et al., 2013). Like alpha and beta, the gamma activity localizes to contralateral centro-parietal electrodes and often appears more focal, suggesting it may reflect local recurrent network processes (e.g. binding of neuronal activity within a small neuronal population) invol- veed in the formation and  
+
that alpha and beta band [[activity]] reflect the coordination of a motor act with sensory (e.g. {{Wiki|movement}} cues) and [[Wikipedia:cognition|cognitive]] {{Wiki|processes}} (Cheynem, 2013; Kilavik et al., 2013). Like alpha and beta, the gamma [[activity]] localizes to contralateral centro-parietal electrodes and often appears more focal, suggesting it may reflect local recurrent network {{Wiki|processes}} (e.g. binding of {{Wiki|neuronal}} [[activity]] within a small {{Wiki|neuronal}} population) invol- veed in the formation and  
  
maintenance of a motor activity (Donner et al., 2009; Wang, 2010). Importantly, previous findings show that centro-parietal alpha and beta rhythms may also be activated by sensorimotor imagery (Neuper et al., 2009) and action observation (Koelewijn et al., 2008) without actual movement or external somatosensory stimu¬lation. In contrast, the post-movement beta modulation often referred to as the “rebound” is hypothesized to reflect a reset of the  
+
maintenance of a motor [[activity]] (Donner et al., 2009; Wang, 2010). Importantly, previous findings show that centro-parietal alpha and beta rhythms may also be activated by sensorimotor [[imagery]] (Neuper et al., 2009) and [[action]] observation (Koelewijn et al., 2008) without actual {{Wiki|movement}} or external {{Wiki|somatosensory}} stimu¬lation. In contrast, the post-movement beta modulation often referred to as the “rebound” is hypothesized to reflect a reset of the  
  
motor system in preparation for the next movement (Gaetz & Cheyne, 2006). We suggest that the increases in alpha, beta, and gamma power on centro- parietal areas observed in our study reflect a “rebound” effect from an active mental state in which subjects are immersed in multimodal imagery and mental manipulation of the sensorimotor body schema. Similar to athletes who use visualization before a challenging task in order to enhance their subsequent  
+
motor system in preparation for the next {{Wiki|movement}} (Gaetz & Cheyne, 2006). We suggest that the increases in alpha, beta, and gamma power on centro- parietal areas observed in our study reflect a “rebound” effect from an active [[mental state]] in which [[subjects]] are immersed in multimodal [[imagery]] and [[mental]] manipulation of the sensorimotor [[body]] {{Wiki|schema}}. Similar to athletes who use [[visualization]] before a challenging task in order to enhance their subsequent  
  
physical performance, Tibetan meditators use Yidam practice to prepare for Completion Stage meditation and enhance their attentional capabilities to achieve it successfully. In fact, without Yidam meditation, Mahamudra meditation appears to be more similar to a relaxation type of meditation in other Buddhist traditions.  
+
[[physical]] performance, [[Tibetan]] [[meditators]] use [[Yidam practice]] to prepare for [[Completion Stage]] [[meditation]] and enhance their attentional capabilities to achieve it successfully. In fact, without [[Yidam meditation]], [[Mahamudra meditation]] appears to be more similar to a [[relaxation]] type of [[meditation]] in other [[Buddhist traditions]].  
  
  
Line 141: Line 141:
  
  
Overall, as hypothesized, the neurophysiological corre¬lates of Mahamudra performed after rest resembled those of Mindfulness or Vipassana, as reported in previous studies. In contrast, Mahamudra performed after Yidam practice exhibited a unique pattern of neurophysiological correlates, indicating high  
+
Overall, as hypothesized, the [[neurophysiological]] corre¬lates of [[Mahamudra]] performed after rest resembled those of [[Mindfulness]] or [[Vipassana]], as reported in previous studies. In contrast, [[Mahamudra]] performed after [[Yidam practice]] exhibited a unique pattern of [[neurophysiological]] correlates, indicating high  
  
sensory alertness, mobility and readiness to respond. These patterns are markedly significant in indicat¬ing the state of phasic alertness (a significant boost of enhanced focused attention), crucially important for Com¬pletion Stage Mahamudra and Dzogchen meditations in Vajrayana. It should be noted that this data pertains only to self-visualization as a Yidam deity, and not when the deity is visualized in front of or above oneself as is practiced in Generation Stage.
+
sensory [[alertness]], mobility and {{Wiki|readiness}} to respond. These patterns are markedly significant in indicat¬ing the [[state]] of phasic [[alertness]] (a significant boost of enhanced focused [[attention]]), crucially important for Com¬pletion Stage [[Mahamudra]] and [[Dzogchen meditations]] in [[Vajrayana]]. It should be noted that this {{Wiki|data}} pertains only to self-visualization as a [[Yidam deity]], and not when the [[deity]] is [[visualized]] in front of or above oneself as is practiced in [[Generation Stage]].
  
Our study has shown that Yidam practice plays an important role in facilitating a wakeful state of awareness and enhanced focused attention in subsequent Completion Stage meditation, related to phasic alertness (a boost in attentional capacities, as found by Amihai & Kozhevnikov, 2014). This is distinct from  
+
Our study has shown that [[Yidam practice]] plays an important role in facilitating a wakeful [[state of awareness]] and enhanced focused [[attention]] in subsequent [[Completion Stage]] [[meditation]], related to phasic [[alertness]] (a boost in attentional capacities, as found by Amihai & Kozhevnikov, 2014). This is {{Wiki|distinct}} from  
  
other Buddhist traditions which aim at the achievement of tonic alertness, a state of optimal vigilance where attention is sustained for a prolonged period of time. It is phasic alertness that is critical in creative discoveries and successful performance in creative fields, in boosting creativity, and optimizing human performance. Further knowledge about the mechanisms underlying Yidam practice will help scientists to better understand states of enhanced focused attention and the ways to achieve them.
+
other [[Buddhist traditions]] which aim at the [[achievement]] of tonic [[alertness]], a [[state]] of optimal {{Wiki|vigilance}} where [[attention]] is sustained for a prolonged period of time. It is phasic [[alertness]] that is critical in creative discoveries and successful performance in creative fields, in boosting {{Wiki|creativity}}, and optimizing [[human]] performance. Further [[knowledge]] about the mechanisms underlying [[Yidam practice]] will help [[scientists]] to better understand states of enhanced focused [[attention]] and the ways to achieve them.
  
An interesting finding of the study is that without the self-generation practice of Yidam preceding Completion Stage meditation, the Completion Stage meditation (in our case, Mahamudra) becomes very similar to open monitoring practices of other Buddhist traditions, such as Vipassana or Mindfulness, which are relaxation practices. Thus, this study scientifically substantiates the centuries of meditation experience that have skillfully assigned Generation Stage Yidam as an essential, core practice in the Vajrayana training scheme, and shows its critical importance for Vajrayana.
+
An [[interesting]] finding of the study is that without the self-generation practice of [[Yidam]] preceding [[Completion Stage]] [[meditation]], the [[Completion Stage]] [[meditation]] (in our case, [[Mahamudra]]) becomes very similar to open monitoring practices of other [[Buddhist traditions]], such as [[Vipassana]] or [[Mindfulness]], which are [[relaxation]] practices. Thus, this study {{Wiki|scientifically}} substantiates the centuries of [[meditation]] [[experience]] that have skillfully assigned [[Generation Stage]] [[Yidam]] as an [[essential]], core practice in the [[Vajrayana]] {{Wiki|training}} scheme, and shows its critical importance for [[Vajrayana]].
  
  
Line 155: Line 155:
  
  
Amihai, I., & Kozhevnikov, M. (2014). Arousal vs. relaxation: A comparison of the neurophysiological and cognitive correlates of Vajrayana and Theravada Meditative practices. Plos One. doi: https://doi.org/10.1371/journal.pone.0102990
+
Amihai, I., & Kozhevnikov, M. (2014). Arousal vs. [[relaxation]]: A comparison of the [[neurophysiological]] and [[Wikipedia:cognition|cognitive]] correlates of [[Vajrayana]] and [[Theravada]] [[Meditative practices]]. Plos One. doi: https://doi.org/10.1371/journal.pone.0102990
  
Cahn, B. R., Delorme, A., & Polich, J. (2010) Occipital gamma activation during Vipassana Meditation. Cogn Process, 11, 39-56.
+
Cahn, B. R., Delorme, A., & Polich, J. (2010) Occipital gamma activation during [[Vipassana]] [[Meditation]]. Cogn Process, 11, 39-56.
  
 
Cheyne, D. O. (2013). MEG studies of sensorimotor rhythms: A review. Exp Neurol, 245, 27-39.
 
Cheyne, D. O. (2013). MEG studies of sensorimotor rhythms: A review. Exp Neurol, 245, 27-39.
  
Donner, T. H., Siegel, M., Fries, P., & Engel, A. K. (2009). Buildup of choice-predictive activity in human motor cortex during perceptual decision making. Curr Biol, 19, 1581-1585.
+
Donner, T. H., Siegel, M., Fries, P., & Engel, A. K. (2009). Buildup of choice-predictive [[activity]] in [[human]] motor cortex during {{Wiki|perceptual}} {{Wiki|decision making}}. Curr Biol, 19, 1581-1585.
  
Gaetz, W., Liu, C., Zhu, H., Bloy, L., & Roberts, T. P. (2013). Evidence for a motor gamma-band network governing response interference. Neuroimage, 74, 245-253.
+
Gaetz, W., [[Liu]], C., Zhu, H., Bloy, L., & Roberts, T. P. (2013). {{Wiki|Evidence}} for a motor gamma-band network governing response interference. Neuroimage, 74, 245-253.
Gaetz, W., & Cheyne, D. (2006). Localization of sensorimotor cortical rhythms induced by tactile stimulation using spatially filtered MEG. Neuroimage, 30, 899-908.
+
Gaetz, W., & Cheyne, D. (2006). Localization of sensorimotor cortical rhythms induced by {{Wiki|tactile}} [[stimulation]] using spatially filtered MEG. Neuroimage, 30, 899-908.
  
Goleman, D. (1996). The meditative mind: the varieties of meditative experience. New York, U.S.A.: G.P. Putnam's Sons.
+
Goleman, D. (1996). The [[meditative]] [[mind]]: the varieties of [[meditative]] [[experience]]. [[New York]], {{Wiki|U.S.A}}.: G.P. Putnam's Sons.
  
Gyatrul, R. (1996). Generating the deity. Ithaca, U.S.A.: Snow Lion.
+
Gyatrul, R. (1996). [[Generating the deity]]. [[Ithaca]], {{Wiki|U.S.A}}.: [[Snow Lion]].
  
 
Kilavik, B. E., Zaepffel, M., Brovelli, A., Mackay, W. A., & Riehle, A. (2013). The ups and downs of beta oscillations in sensorimotor cortex. Exp Neurol, 245, 15-26.
 
Kilavik, B. E., Zaepffel, M., Brovelli, A., Mackay, W. A., & Riehle, A. (2013). The ups and downs of beta oscillations in sensorimotor cortex. Exp Neurol, 245, 15-26.
  
Klimesch, W. (1999). EEG alpha and Theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev, 29, 179-195.
+
Klimesch, W. (1999). {{Wiki|EEG}} alpha and Theta oscillations reflect [[Wikipedia:cognition|cognitive]] and [[memory]] performance: a review and analysis. {{Wiki|Brain}} Res Rev, 29, 179-195.
  
Kozhevnikov, M., Louchakova, O., Josipovic, Z., & Motes, M. A. (2009). The Enhancement of Visuospatial Processing Efficiency Through Buddhist Deity Meditation. Psychological Science, 20(5), 645-653.
+
Kozhevnikov, M., Louchakova, O., Josipovic, Z., & Motes, M. A. (2009). The [[Enhancement]] of Visuospatial Processing Efficiency Through [[Buddhist]] [[Deity Meditation]]. [[Psychological]] [[Science]], 20(5), 645-653.
  
 
Koelewijn, T., van Schie, H. T., Bekkering, H., Oostenveld, R., & Jense
 
Koelewijn, T., van Schie, H. T., Bekkering, H., Oostenveld, R., & Jense
  
n, O. (2008). Motor-cortical beta oscillations are modulated by correctness of observed action. Neuroimage, 40, 767-775.
+
n, O. (2008). Motor-cortical beta oscillations are modulated by correctness of observed [[action]]. Neuroimage, 40, 767-775.
  
Lutz, A., Dunne, J. D., & Davidson, R. J. (2007). Meditation and the neuroscience of consciousness. Cambridge handbook of consciousness, 499-555.
+
Lutz, A., [[Dunne]], J. D., & Davidson, R. J. (2007). [[Meditation]] and the {{Wiki|neuroscience}} of [[consciousness]]. [[Cambridge]] handbook of [[consciousness]], 499-555.
  
Muthukumaraswamy, S. D. (2013). High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations. Front Hum Neurosci, 7.
+
Muthukumaraswamy, S. D. (2013). High-frequency {{Wiki|brain}} [[activity]] and muscle {{Wiki|artifacts}} in MEG/EEG: a review and recommendations. Front [[Hum]] Neurosci, 7.
  
Neuper, C., Scherer, R., Wriessnegger, S., & Pfurtscheller, G. (2009). Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface. Clin Neurophysiol, 120, 239-247.
+
Neuper, C., Scherer, R., Wriessnegger, S., & Pfurtscheller, G. (2009). Motor [[imagery]] and [[action]] observation: modulation of sensorimotor {{Wiki|brain}} rhythms during [[mental]] control of a brain-computer interface. Clin Neurophysiol, 120, 239-247.
  
Srijkstra, A. M., Beersma, D. G. M., Drayer, B., Halbesma, N., & Daan, S. (2003). Subjective sleepiness correlates negatively with global alpha (8-12 Hz) and positively with central frontal theta (4-8 Hz) frequencies in the human resting awake electroencephalogram. Neurosci Lett, 340, 17-20.
+
Srijkstra, A. M., Beersma, D. G. M., Drayer, B., Halbesma, N., & Daan, S. (2003). [[Subjective]] sleepiness correlates negatively with global alpha (8-12 Hz) and positively with central frontal theta (4-8 Hz) frequencies in the [[human]] resting awake electroencephalogram. Neurosci Lett, 340, 17-20.
  
Sogyal Rinpoche. (1990). Dzogchen and Padmasambhava. California, U.S.A.: Rigpa Fellowship.
+
[[Sogyal Rinpoche]]. (1990). [[Dzogchen and Padmasambhava]]. [[California]], {{Wiki|U.S.A}}.: [[Rigpa Fellowship]].
  
Welch, P. (1967). The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms. IEEE Transactions on Audio and Electroacoustics, 15(2), 70-73. doi:10.1109/tau.1967.1161901
+
Welch, P. (1967). The use of fast Fourier [[transform]] for the estimation of power spectra: A method based on time averaging over short, modified periodograms. IEEE Transactions on Audio and Electroacoustics, 15(2), 70-73. doi:10.1109/tau.1967.1161901
  
Wang, X. J. (2010). Neurophysiological and computational principles of cortical rhythms in cognition. Physiol Rev, 90, 1195-1268.
+
Wang, X. J. (2010). [[Neurophysiological]] and computational {{Wiki|principles}} of cortical rhythms in [[cognition]]. Physiol Rev, 90, 1195-1268.
  
  

Latest revision as of 21:42, 1 February 2020




Maria Kozhevnikov & Elizabeth McDougal


Abstract


We compared the neurophysiological correlates of Mahamudra (a meditative practice of Vajrayana Buddhism leading to emptiness realization) performed after a relaxed mental state versus Mahamudra performed after Generation Stage Yidam practice (visualizing oneself as a Tantric deity). The main goal of this

study was to examine the role of Yidam practice in reaching the state of Rig-pa from a scientific perspective. The electroencephalographic (EEG) data from 7 nuns and 9 monks were recorded during 15 minutes of rest followed by 15 minutes of Mahamudra meditation at one time of the day, and 15 minutes of Yidam

followed by 15 minutes of Mahamudra later during the same day. The results showed significant differences between Mahamudra performed after rest versus after Yidam. The EEG data also showed there were significant differences between the two types of Mahamudra, with more power in the beta and gamma bands

during Maha- mudra after Yidam practice. Overall, the neurophysiological correlates of Mahamudra performed after rest resemble those of Mindfulness or Vipassana (Theravada styles of meditation) reported in previous studies. In contrast, Mahamudra after Yidam practice exhibited a unique pattern of

neurophysiological correlates, indicating a significantly more energetic state of body and mind. Thus, Yidam practice is shown to have an important role in facilitating the achievement of a wakeful state of Rig-pa through the use of visual imagery and the emotional arousal associated with it.


Background

The past two decades has seen a significant amount of Western scientific research on neural and cognitive correlates related to meditation. The bulk of this scientific re¬search has studied Vipassana, Shamatha, and Zen mindfulness techniques of the Theravada and Mahayana Buddhist traditions and, far fewer

studies on Vajrayana Buddhist meditation has been conducted. Few studies have investigated the neural correlates of non-conceptual awareness styles of meditation, referred to in scientific literature as Open Presence, Rig-pa , or Nondual Awareness, including VajrayanaCompletion Stagemeditations of

Dzog¬chen and Mahamudra that aim to realize emptiness (Lutz, Dunne, & Davidson, 2007). However, “Generation Stage” practices core to Vajrayana Buddhism, involving visualiza¬tion of a Yidam (Tib: yi dam; a Tantric meditational deity), have been largely ignored. Only a few recent studies have shown the

significant effect of Yidam practice on enhancing cognitive capacities, not through relaxation, but through the use of visual imagery and emotional arousal (activation of the sympathetic nervous system) when the practitioner is required to imagine his/her mind, emotions, and feelings as those of a specific deity (Amihai & Kozhevnikov, 2014; Kozhevnikov et al., 2009).


The neglect of Generation Stage Yidam practice is not only taking place in communities of scientific research on meditation but also among the Vajrayana practices. While in most Vajrayana schools, “Generation StageYidam practice precedes the “Completion Stagemeditation pertaining to realization of emptiness, there are also cases when Yidam practice is not considered essential. Furthermore, in some contemporary settings where Vajrayana is being taught

and practiced, particularly in the West, the traditional centrality of Yidam practice is diminishing or being bypassed altogether. Some Tibetan lamas in the West sometimes omit Yidam practice in their teachings, guiding students accord¬ing to a Western rational worldview that prefers a direct approach to higher Dzogchen and Mahamudra meditations.

Generation Stage Yidam practice involves visualization and mantra recitation of a meditational deity, often surrounded by the deity's mandala, or entourage. The content of Yidam visualization is rich and multimodal, requiring the generation of colorful three-dimensional images (e.g. the deity's body,

ornaments, and environment), as well as representations of sensorimotor body schema, feelings, and emotions of the deity. The image temporarily replaces one's sense of egotistic self and perception of the real world (Gyatrul, 1996). Completion Stage has two sub¬categories: Completion Stage with Signs, involving subtle- body yogas like tummo (Tib. gtum mo) and dream yoga that work with psychophysical energies and their pathways in the human body; and


Completion Stage without Signs, involving non-conceptual Dzogchen and/or Mahamudra meditation that directly recognizes and abides in the essential nature of mind (or emptiness). This Completion Stage realization of the essential nature of mind is referred to as “Rig-pa” (Tib: rig pa) in the Dzogchen tradition.

In Vajrayána, visualization of oneself as a Yidam deity is what constitutes the practice of Generation Stage (Tib: bskyed rim), the first stage of the meditation practice (Sogyal Rinpoche, 1990). The very terms “Generation” and “Com¬pletion” Stages indicate a developmental process leading to completion.

Traditionally, Vajrayána meditators in Tibet usually practice Completion Stage Dzogchen and/or Mahamudra after years of preliminary Generation Stage training that psychologically prepares the meditator for subtlest states of consciousness. Although there are occasional instances of spontaneous “Rig-pa

or Comple-tion Stage realization among Vajrayána practitioners, these instances have almost always been preceded by earlier cultivation of Generation Stage practices (Gebchak Urgyen Chodron, personal communication, 2006).


During Completion Stage meditation (i.e. Mahamudra or Dzogchen), which follows the final stage of Yidam meditation, a meditator visualizes the dissolution of the deity and its entourage into emptiness and then abides in non-conceptual awareness. In Mahamudra or Dzogchen, the meditator's attention is evenly distributed so that it is not directed toward any object or experience. Although various aspects of experience may arise (e.g. thoughts, feelings, images,

etc.), the meditator is instructed to let them subside in their own empty nature, without dwelling on them or examining them (Goleman, 1996). Considering the strong emphasis on Generation Stage Yidam practice at every level of traditional Vajrayána meditation training, and its weakening in contemporary settings, it is timely to question the value of Yidam practice from a scientific perspective. Although a few previous scientific studies have

been conducted on Completion Stage Mahamudra and Dzogchen meditations, they have not been able to distinguish these Vajrayána Competition Stage meditations from meditations of other Buddhist traditions, such as Vipassana or Mindfulness that require distributed attention and open monitoring (Lutz et al., 2007). It is important to note that this previous research has studied these meditations outside of their original Vajrayana context of Generation and Completion Stage training.


The main goal of this study was to examine the role of Generation Stage Yidam practice in reaching the state of Rig- pa, or pure Mahamudra awareness, from a scientific perspective. In this study we compared the difference in brain dynamics of Mahamudra meditation following rest and of Mahamudra following Yidam practice. Our first hypothesis was that that the brain dynamism as measured by EEG recordings for Mahamudra meditation performed after rest will be different from that of Mahamudra perform¬ed after Yidam practice.


Research method and data results

Participants: The study was conducted in Bhutan under the guidance of H.E. Gyaltshen Tulku Rinpoche, a respected retreat master in the Drukpa Kagyu lineage. Sixteen of his experienced retreat nuns and monks, who follow the Drukpa Kagyu lineage of Vajrayana training and Maha- mudra meditation, participated in the study. These partici¬pants (7 nuns and 9 monks) had a mean age of 42.5, and an average of 8 years of meditation experience. The partici¬pants provided written, informed consent for their particip¬ation in the study. The study was approved by the National University of Singapore's review board.


Procedure: The data for the seven nuns was recorded at Gyaltshen Rinpoche's retreat center in Trashigang (Eastern Bhutan), while the data from the experiments with monks was collected in Thimphu. EEG data was continuously recorded throughout the study.

Plate 1: Participants doing meditation

At the beginning of the session, each participant sat for 15 minutes of rest, during which they were explicitly instructed not to meditate but to remain seated with their eyes closed, and to simply relax. Following a 5-minute break, the participants were asked to perform 15 minutes of Mahamudra meditation.

At a later time on the same day, the participants first performed 15 minutes of Yidam medita¬tion, followed by 15 minutes of Mahamudra meditation. EEG Recordings and Protocol: EEG was continuously recorded at the Fp1. Fp2, F3, Fz, F4, F7, F8, T3, T4, T5, C3, Cz, C4, P3, Pz, P4, O1, O2. scalp regions positioned according to the standard 20 channel system using a B-Alert portable EEG cap (Advanced Brain Monitoring, Inc.), as well as from two additional

electrodes placed on the right and left mastoids. EEG was sampled at 256 Hz and referenced to the average between the two mastoid electrodes. Signals showing ocular and muscular artifacts were manually excluded from the study, and a high-band pass filter of 0.1 Hz was applied to the EEG data. Moreover, a digital notch filter was applied to the data at 50 Hz to remove artifacts caused by nearby electrical devices.

Spectral Analysis: For each electrode and 1-second epoch, the power spectral distribution (PSD) was calculated using Welch's method (Welch, 1967), where power values are averaged and a 512-millisecond time window is applied. Subsequently, the mean power at the Delta (1-4 Hz), Theta (4.5-7.5 Hz), Alpha (8.5-12.5 Hz), Beta (13-25 Hz), and Gamma (35-44.5 Hz, 60-95.5 Hz, 110-128 Hz) frequencies were used as the dependent variables in the analyses. Importantly, we

analyzed only a 3-minute epoch at the end of the meditation period, during which the meditators were most likely to be in a deep meditative state. First, the mean power at the Delta, Theta, Alpha, Beta, and Gamma frequencies across all 18 electrodes for Maha- mudra after Yidam (Mahamudra 2; M2) and

Mahamudra without Yidam (Mahamudra 1; M1) were compared using within subject ANOVAs, with Condition (Rest, Mahamudra 1, Yidam, Mahamudra 2) as a within-subject variable. Then, we divided the scalp into 4 regions, each of which consisted of an average of several electrodes that were selected according to their location: Temporal- T3, T4, T5; Frontal - Fp1, Fp2, F3, Fz, F4; Central- C3, Cz, C4. Parietal - P3, Pz, P4, and Occipital (O1, O2), and conducted paired-samples t- test to examine the differences between M1 and M2 meditations for different scalp locations.


Results

We compared the mean power at the Delta, Theta, Alpha, Beta, and Gamma frequencies across all 18 electrodes for Rest, M1, Yidam, and M2 conditions. The results for within-subject ANOVA revealed significant differences between all four conditions for delta: F(3,45) = 3.91, p < 0.01, There was a significant

decrease in delta for M1 and M2 conditions (p < 0.05) but not during Yidam (p = 0.2) in comparison to Rest. No differences, however, were observ¬ed between M1 and M2 (p=0.48). As for theta, there was no significant difference between all 4 conditions: F(3,45) = 0.81, p = 0.4. 


For alpha, there was also no significant difference between 4 conditions, a F(3,45) = 1.17, p = 0,4, although there was a marginal decrease for alpha during M1 in comparison with Rest (p=0.1), and there was also a slight difference between M1 and M2 (p=0.1). Below are the graphs repre¬senting mean power for delta and alpha.

For beta, the difference between 4 conditions was significant, F(3,45) = 3.07, p < 0.05. There was a significant decrease for beta during M1 in comparison with Rest, and also, there were significant differences for mean power beta between M1 and M2 (p < 0.05). Furthermore, there was only a marginal difference between all 4 conditions for gamma, F(3,45) = 2.109, p = 0.1; there was a marginally significant decrease in gamma during M1 (p=0.05), and there was a marginally significant difference between gamma during M1 and M2 (p = 0.06). The graphs for beta and gamma are below:


Gamma

Overall, the patterns for M1 and M2 somewhat resemble Theravada styles of meditation, such as Vipassana or Shamatha (see Amihai & Kozhevnikov, 2014 for a review). Specifically, delta power was shown to be reduced during Vipassana and Shamatha, in comparison with Rest, similar to the decrease in delta power for M1 and M2 (but not for Yidam). As for theta, similar to the results of Vipassana and Shamatha meditations (Amihai & Kozhevnikov, 2014), no changes in theta were observed during M1, M2 and Yidam practice in comparison to Rest.


As for alpha power, previous neuroscience research (Klimesch, 1999; Strijkstra et al., 2003) also showed that decreased Alpha power is associated with deep relaxation, Mindfulness, and Vipassana meditations, while increases in Alpha are associated with wakefulness, attention, and task load. In this study, alpha power slightly decreases for M1; M2, in contrast, is not different from Rest, and there is an increase in alpha power from M1 to Yidam, and then to M2. This suggests that M2 represents a more wakeful state in comparison with M1, achieved through Yidam practice.


For beta power, it has been shown to decrease during Theravada styles of meditation (Amihai & Kozhevnikov, 2014), similar to M1 in this study. M2 is also not significantly different from M1. Finally, for gamma, previous studies (Cahn, Delorme, & Polich, 2010) have shown increases during Vipassana styles of meditation. We, however, observed significant decreases in gamma for M1 with an increase of gamma to Yidam and then M2.

Overall, M2 represents a more wakeful state in comparison with M1, as it is indicated in increased alpha power for M2 in comparison with M1, and higher gamma power for M2 than M1. To examine which scalp location contributed to the significant difference described between M1 and M2 we conducted paired-samples t-test (2-sided) to compare alpha, beta, and gamma mean power between M1 and M2.


For alpha, there was marginally significant difference between M1 and M2 in frontal areas, t(14) = -1.95, p = 0.07, and significant differences between M1 and M2 for central, t(14) = 2.43, p = 0.03, and parietal areas, t(14)=2.852, p =0.01.

For beta, there was a significant difference between M1 and M2 in the central, t(14)= 2.59, p = 0.02 and parietal areas, t(14) = 2.28, p = 0.04, and there was a marginal difference in occipital area, t(14) = -1.772, p = 0.09.


Finally for gamma, there was a significant difference between M1 and M2 in the central area, t(15) = 2.38, p -0.03, and there was also a slight marginal difference in the parietal area, t(15) = 1.677, p = 0.1.

Previous studies have demonstrated that changes in beta power and high gamma-band oscillations play an important role in sensorimotor control (Muthukumara- swamy, 2013; Gaetz et al., 2013). Furthermore, alpha modulation is often observed simultaneously with central beta changes. The predominant hypothesis is

that alpha and beta band activity reflect the coordination of a motor act with sensory (e.g. movement cues) and cognitive processes (Cheynem, 2013; Kilavik et al., 2013). Like alpha and beta, the gamma activity localizes to contralateral centro-parietal electrodes and often appears more focal, suggesting it may reflect local recurrent network processes (e.g. binding of neuronal activity within a small neuronal population) invol- veed in the formation and

maintenance of a motor activity (Donner et al., 2009; Wang, 2010). Importantly, previous findings show that centro-parietal alpha and beta rhythms may also be activated by sensorimotor imagery (Neuper et al., 2009) and action observation (Koelewijn et al., 2008) without actual movement or external somatosensory stimu¬lation. In contrast, the post-movement beta modulation often referred to as the “rebound” is hypothesized to reflect a reset of the

motor system in preparation for the next movement (Gaetz & Cheyne, 2006). We suggest that the increases in alpha, beta, and gamma power on centro- parietal areas observed in our study reflect a “rebound” effect from an active mental state in which subjects are immersed in multimodal imagery and mental manipulation of the sensorimotor body schema. Similar to athletes who use visualization before a challenging task in order to enhance their subsequent

physical performance, Tibetan meditators use Yidam practice to prepare for Completion Stage meditation and enhance their attentional capabilities to achieve it successfully. In fact, without Yidam meditation, Mahamudra meditation appears to be more similar to a relaxation type of meditation in other Buddhist traditions.


Conclusions

Overall, as hypothesized, the neurophysiological corre¬lates of Mahamudra performed after rest resembled those of Mindfulness or Vipassana, as reported in previous studies. In contrast, Mahamudra performed after Yidam practice exhibited a unique pattern of neurophysiological correlates, indicating high

sensory alertness, mobility and readiness to respond. These patterns are markedly significant in indicat¬ing the state of phasic alertness (a significant boost of enhanced focused attention), crucially important for Com¬pletion Stage Mahamudra and Dzogchen meditations in Vajrayana. It should be noted that this data pertains only to self-visualization as a Yidam deity, and not when the deity is visualized in front of or above oneself as is practiced in Generation Stage.

Our study has shown that Yidam practice plays an important role in facilitating a wakeful state of awareness and enhanced focused attention in subsequent Completion Stage meditation, related to phasic alertness (a boost in attentional capacities, as found by Amihai & Kozhevnikov, 2014). This is distinct from

other Buddhist traditions which aim at the achievement of tonic alertness, a state of optimal vigilance where attention is sustained for a prolonged period of time. It is phasic alertness that is critical in creative discoveries and successful performance in creative fields, in boosting creativity, and optimizing human performance. Further knowledge about the mechanisms underlying Yidam practice will help scientists to better understand states of enhanced focused attention and the ways to achieve them.

An interesting finding of the study is that without the self-generation practice of Yidam preceding Completion Stage meditation, the Completion Stage meditation (in our case, Mahamudra) becomes very similar to open monitoring practices of other Buddhist traditions, such as Vipassana or Mindfulness, which are relaxation practices. Thus, this study scientifically substantiates the centuries of meditation experience that have skillfully assigned Generation Stage Yidam as an essential, core practice in the Vajrayana training scheme, and shows its critical importance for Vajrayana.


References


Amihai, I., & Kozhevnikov, M. (2014). Arousal vs. relaxation: A comparison of the neurophysiological and cognitive correlates of Vajrayana and Theravada Meditative practices. Plos One. doi: https://doi.org/10.1371/journal.pone.0102990

Cahn, B. R., Delorme, A., & Polich, J. (2010) Occipital gamma activation during Vipassana Meditation. Cogn Process, 11, 39-56.

Cheyne, D. O. (2013). MEG studies of sensorimotor rhythms: A review. Exp Neurol, 245, 27-39.

Donner, T. H., Siegel, M., Fries, P., & Engel, A. K. (2009). Buildup of choice-predictive activity in human motor cortex during perceptual decision making. Curr Biol, 19, 1581-1585.

Gaetz, W., Liu, C., Zhu, H., Bloy, L., & Roberts, T. P. (2013). Evidence for a motor gamma-band network governing response interference. Neuroimage, 74, 245-253. Gaetz, W., & Cheyne, D. (2006). Localization of sensorimotor cortical rhythms induced by tactile stimulation using spatially filtered MEG. Neuroimage, 30, 899-908.

Goleman, D. (1996). The meditative mind: the varieties of meditative experience. New York, U.S.A.: G.P. Putnam's Sons.

Gyatrul, R. (1996). Generating the deity. Ithaca, U.S.A.: Snow Lion.

Kilavik, B. E., Zaepffel, M., Brovelli, A., Mackay, W. A., & Riehle, A. (2013). The ups and downs of beta oscillations in sensorimotor cortex. Exp Neurol, 245, 15-26.

Klimesch, W. (1999). EEG alpha and Theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev, 29, 179-195.

Kozhevnikov, M., Louchakova, O., Josipovic, Z., & Motes, M. A. (2009). The Enhancement of Visuospatial Processing Efficiency Through Buddhist Deity Meditation. Psychological Science, 20(5), 645-653.

Koelewijn, T., van Schie, H. T., Bekkering, H., Oostenveld, R., & Jense

n, O. (2008). Motor-cortical beta oscillations are modulated by correctness of observed action. Neuroimage, 40, 767-775.

Lutz, A., Dunne, J. D., & Davidson, R. J. (2007). Meditation and the neuroscience of consciousness. Cambridge handbook of consciousness, 499-555.

Muthukumaraswamy, S. D. (2013). High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations. Front Hum Neurosci, 7.

Neuper, C., Scherer, R., Wriessnegger, S., & Pfurtscheller, G. (2009). Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface. Clin Neurophysiol, 120, 239-247.

Srijkstra, A. M., Beersma, D. G. M., Drayer, B., Halbesma, N., & Daan, S. (2003). Subjective sleepiness correlates negatively with global alpha (8-12 Hz) and positively with central frontal theta (4-8 Hz) frequencies in the human resting awake electroencephalogram. Neurosci Lett, 340, 17-20.

Sogyal Rinpoche. (1990). Dzogchen and Padmasambhava. California, U.S.A.: Rigpa Fellowship.

Welch, P. (1967). The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms. IEEE Transactions on Audio and Electroacoustics, 15(2), 70-73. doi:10.1109/tau.1967.1161901

Wang, X. J. (2010). Neurophysiological and computational principles of cortical rhythms in cognition. Physiol Rev, 90, 1195-1268.





Source