Yogic interpretation of
Alejandro Chandia-JorqueraSean D. van MilMar EstarellasMarina DauphinClaudia PascovichAndres Canales-Johnson; Distilling the Neurophenomenological Signatures of Pure Awareness during Transcendental Meditation. J Cogn Neurosci 2026; 38 (10): 2028–2045. doi: https://doi.org/10.1162/JOCN.a.2626
by Dr. Bernd Zeiger
(October 1, 2026)
To bridge the gap between the yogic phenomenology of Samyama and modern cognitive neuroscience, the biophysical concept of resonance tuning serves as the vital key. In physics, resonance tuning describes a system's capacity to align itself with a specific target frequency, allowing information and energy to be transmitted with maximum efficiency and minimal noise. Patanjali describes precisely this process in the Vibhuti Pada as Samyama: a laser-sharp tuning of the mind into the vibration of the mental object, continuing until the artificial separation between the observer and the observed collapses.
The EEG signatures isolated by Chandia-Jorquera et al. (2026) demonstrate that this is not merely a metaphor, but a measurable neurophysiological state. The study reveals a profound mathematical double dissociation within the Random Forest classifier that perfectly maps onto the dual nature of Samyama:
- The Trait/State Contrast (TM vs. Counting): When distinguishing active meditation from ordinary cognitive effort (counting), the classifier relies almost exclusively on Permutation Entropy (PE) and aperiodic dynamics, while linear phase-coherence (wPLI) contributes the least. This captures the phenomenological essence of Pure Awareness (PA) as an informationally rich, content-reduced, and highly flexible mode of consciousness.
- The State/Baseline Contrast (TM vs. Rest): Conversely, when distinguishing the meditative state from the practitioners' own resting baseline, the classifier flips entirely: it is heavily dominated by low-frequency linear functional connectivity—specifically Delta and Theta wPLI—while entropy measures contribute minimally.
The following synopsis cross-references these highly differentiated neurophysiological markers (wPLI, PE, and WSMI) with the classical Yoga Sutras, demonstrating how precisely Patanjali’s stages of Samyama correspond to the mathematical stages of resonance-fine-tuning:
Samyama as Resonance Fine-Tuning
Yoga-Sutra 3.1 — Dharana (Focus)
Sutra: „Deśabandhaścittasya dhāraṇā“ — Binding the mind (Citta) to a specific place (Desha).
EEG Counterpart: Aperiodic Activity (1/f Exponent & Offset) (High importance in baseline and control contrasts).
Biophysical Function: Top-Down Attenuation & Bandpass Filtering. This reflects a shift in the cortical excitation-inhibition balance. The brain selectively dampens uncoordinated everyday background noise via GABAergic inhibition, geometrically restricting the "resonance chamber" to block out distracting signals.
Resonance Character: Setting the Target Frequency. Tuning into the desired station while actively suppressing competing channels.
Yoga-Sutra 3.2 — Dhyana (Meditation / Continuous Flow)
EEG Counterpart: Aperiodic Activity (1/f Exponent & Offset) (High importance in baseline and control contrasts).
Biophysical Function: Top-Down Attenuation & Bandpass Filtering. This reflects a shift in the cortical excitation-inhibition balance. The brain selectively dampens uncoordinated everyday background noise via GABAergic inhibition, geometrically restricting the "resonance chamber" to block out distracting signals.
Resonance Character: Setting the Target Frequency. Tuning into the desired station while actively suppressing competing channels.
Yoga-Sutra 3.2 — Dhyana (Meditation / Continuous Flow)
Sutra: „Tatra pratyayākatānatā dhyānam“ — The continuous, uninterrupted flow of the cognition stream (Pratyaya).
EEG: Delta and Theta wPLI (weighted Phase Lag Index) (Absolute peak importance / Rank 1 & 2 in the baseline contrast).
Biophysical Function: Macro-Stabilization via Phase-Locking. True, long-range linear phase synchronization across distant cortical areas (specifically along the fronto-parietal control axis), fully controlled for volume conduction. It establishes a steady, global standing carrier wave in the slow oscillatory bands.
Resonance Character: Phase Synchronization. The internal receiver locks perfectly into the phase of the target frequency, transitioning from effortful focusing to effortless resonance.
Yoga-Sutra 3.3 — Samadhi (Perfect Absorption)
EEG: Delta and Theta wPLI (weighted Phase Lag Index) (Absolute peak importance / Rank 1 & 2 in the baseline contrast).
Biophysical Function: Macro-Stabilization via Phase-Locking. True, long-range linear phase synchronization across distant cortical areas (specifically along the fronto-parietal control axis), fully controlled for volume conduction. It establishes a steady, global standing carrier wave in the slow oscillatory bands.
Resonance Character: Phase Synchronization. The internal receiver locks perfectly into the phase of the target frequency, transitioning from effortful focusing to effortless resonance.
Yoga-Sutra 3.3 — Samadhi (Perfect Absorption)
Sutra: „Tadevevārthāmātranirbhāsaṁ svarūpaśūnyamiva samādhiḥ“ — When the mind's own form vanishes as if empty (Shunya), and only the object of meditation (Artha) shines forth.
EEG: Deactivation / Phase Coherence Shift of the Default Mode Network (DMN) (Derived from wPLI topography).
Biophysical Function: Collapse and Spatiotemporal Anchors. The brain hemispheres transition into a state of high interhemispheric symmetry. The orientation association area in the parietal lobe loses its asymmetric inputs, dismantling the neural boundaries between Subject ("I") and Object ("World").
Resonance Character: Consummated Resonance Coupling. The complete merging of two distinct systems oscillating at the exact same pace.
Yoga-Sutra 3.4 — Samyama (The Combined Tool)
EEG: Deactivation / Phase Coherence Shift of the Default Mode Network (DMN) (Derived from wPLI topography).
Biophysical Function: Collapse and Spatiotemporal Anchors. The brain hemispheres transition into a state of high interhemispheric symmetry. The orientation association area in the parietal lobe loses its asymmetric inputs, dismantling the neural boundaries between Subject ("I") and Object ("World").
Resonance Character: Consummated Resonance Coupling. The complete merging of two distinct systems oscillating at the exact same pace.
Yoga-Sutra 3.4 — Samyama (The Combined Tool)
Sutra: „Trayam ekatra saṁyamaḥ“ — These three stages directed simultaneously onto a single point constitute Samyama.
EEG: Coexistence of wPLI (Structure) and PE/WSMI (Dynamics) (The double dissociation shown by the classifiers).
Biophysical Function: Cross-Frequency Coupling. The brain operates as a highly coordinated complementary dual system. The slow, stable carrier wave (wPLI) provides the rigid geometric infrastructure, in whose troughs the high-frequency information waves (Gamma) can be precisely timed and processed.
Resonance Character: The Macro-Resonance Infrastructure. The body of the instrument is perfectly tuned, rigid, and ready to amplify subtler overtones.
Yoga-Sutra 3.5 — Prajna (The Light of Higher Insight)
EEG: Coexistence of wPLI (Structure) and PE/WSMI (Dynamics) (The double dissociation shown by the classifiers).
Biophysical Function: Cross-Frequency Coupling. The brain operates as a highly coordinated complementary dual system. The slow, stable carrier wave (wPLI) provides the rigid geometric infrastructure, in whose troughs the high-frequency information waves (Gamma) can be precisely timed and processed.
Resonance Character: The Macro-Resonance Infrastructure. The body of the instrument is perfectly tuned, rigid, and ready to amplify subtler overtones.
Yoga-Sutra 3.5 — Prajna (The Light of Higher Insight)
Sutra: „Tajjayāt prajñālokaḥ“ — Through the mastery of Samyama, the light of higher intuitive insight (Prajna) is ignited.
EEG: Permutation Entropy (PE) & WSMI (Weighted Symbolic Mutual Information) (Peak importance / Rank 1–3 in the TM vs. Counting contrast).
Biophysical Function: Micro-Informational Diversity. High-level non-linear, arrhythmic information sharing across brain regions. Freed from background clutter, the brain drastically expands its microscopic repertoire of microstates (entropy), becoming exquisitely sensitive to the complex, fractal patterns of the meditation focus.
Resonance Character: Signal Amplification & Data Extraction. The "light" corresponds to an optimized, noise-free signal-to-noise ratio, allowing the essence of the object to be mapped directly into the neural architecture.
EEG: Permutation Entropy (PE) & WSMI (Weighted Symbolic Mutual Information) (Peak importance / Rank 1–3 in the TM vs. Counting contrast).
Biophysical Function: Micro-Informational Diversity. High-level non-linear, arrhythmic information sharing across brain regions. Freed from background clutter, the brain drastically expands its microscopic repertoire of microstates (entropy), becoming exquisitely sensitive to the complex, fractal patterns of the meditation focus.
Resonance Character: Signal Amplification & Data Extraction. The "light" corresponds to an optimized, noise-free signal-to-noise ratio, allowing the essence of the object to be mapped directly into the neural architecture.
Samyama as Measurable Neuro-Resonance
The convergence of Patanjali’s Yoga Sutra with the cognitive neuroscience data of Chandia-Jorquera et al. (2026) demonstrates that the concept of Samyama defines a precisely measurable, biophysical process of resonance fine-tuning.
The discovery of a mathematical double dissociation provides empirical proof of this state's dual architecture: through the long-range phase-locking of slow oscillatory bands (Delta/Theta wPLI), the brain constructs the macro-infrastructure of a stable, symmetrical resonance chamber that effectively decouples the everyday filters of the observer (DMN). Yet, within this perfectly tuned chamber, the brain does not collapse into energetic rigidity. Instead, by maximizing temporal entropy (PE) and non-linear informational exchange (WSMI), it unfolds an exquisitely sensitive microscopic dynamism.
Samyama is therefore the neurophysiological ability of shifting the brain simultaneously into a state of maximum structural stability and maximum informational openness. It is precisely this consummated resonance fine-tuning that enables the noise-free state of Pure Awareness—an episode of consciousness that Patanjali described as the ignition of higher intuitive insight (Prajna).
Resonance tuning neurophysiologically, biochemically, and yogically
The concept of "resonance tuning" exists both in physics (high-frequency technology, acoustics) and in a deeply fundamental form in neurobiology and cognitive science.
In the functioning of our brain, resonance tuning describes the ability of neurons and brain areas to specifically adjust their own oscillation frequency (natural frequency) so that they oscillate in sync with incoming signals. It is the biological equivalent of tuning a radio station: Only when the receiver is precisely tuned to the frequency of the transmitter does energy and information flow most efficiently.
With this resonance tuning, four necessary and evolutionarily vital functions are associated in the brain:
1. Selective attention and input filtering (Winner-Take-All)
The brain is constantly flooded with stimuli. Resonance tuning acts as a highly efficient bandpass filter:
A neuron or a network tunes into a specific target frequency (e.g., 40 Hz gamma waves during intense concentration). This has the following effect: Only signals that arrive exactly in this rhythm are amplified and forwarded (resonance). All other frequencies (distractions, noise) fall into the void because they interfere destructively. A strongly activated neuron can thus "tune" surrounding networks to its frequency and suppress irrelevant stimuli.
The concept of "resonance tuning" exists both in physics (high-frequency technology, acoustics) and in a deeply fundamental form in neurobiology and cognitive science.
In the functioning of our brain, resonance tuning describes the ability of neurons and brain areas to specifically adjust their own oscillation frequency (natural frequency) so that they oscillate in sync with incoming signals. It is the biological equivalent of tuning a radio station: Only when the receiver is precisely tuned to the frequency of the transmitter does energy and information flow most efficiently.
With this resonance tuning, four necessary and evolutionarily vital functions are associated in the brain:
1. Selective attention and input filtering (Winner-Take-All)
The brain is constantly flooded with stimuli. Resonance tuning acts as a highly efficient bandpass filter:
A neuron or a network tunes into a specific target frequency (e.g., 40 Hz gamma waves during intense concentration). This has the following effect: Only signals that arrive exactly in this rhythm are amplified and forwarded (resonance). All other frequencies (distractions, noise) fall into the void because they interfere destructively. A strongly activated neuron can thus "tune" surrounding networks to its frequency and suppress irrelevant stimuli.
The two relevant neurotransmitters in this process are:
Acetylcholine (ACh): The primary neurotransmitter for directed, selective attention. It sharpens the signal-to-noise ratio in the cortex and suppresses distracting background stimuli.
Norepinephrine: Ensures the necessary alertness, neural salience (importance selection), and mental focus.
2. Signal amplification with minimal energy expenditure (Cascade Amplification)
The brain consumes about 20% of the body's total energy and must be extremely economical.
Through resonance tuning, tiny, inherently sub-thermal (very weak) bioelectrical impulses add up over successive oscillation cycles instead of dissipating immediately. [6
There is a cascade amplification. The brain can thereby make extremely weak stimuli – such as a faint noise at nite or a subtle intuitive insight – perceptible throughout the entire cortex in the blink of an eye, without having to expend massive additional chemical energy.
Acetylcholine (ACh): The primary neurotransmitter for directed, selective attention. It sharpens the signal-to-noise ratio in the cortex and suppresses distracting background stimuli.
Norepinephrine: Ensures the necessary alertness, neural salience (importance selection), and mental focus.
2. Signal amplification with minimal energy expenditure (Cascade Amplification)
The brain consumes about 20% of the body's total energy and must be extremely economical.
Through resonance tuning, tiny, inherently sub-thermal (very weak) bioelectrical impulses add up over successive oscillation cycles instead of dissipating immediately. [6
There is a cascade amplification. The brain can thereby make extremely weak stimuli – such as a faint noise at nite or a subtle intuitive insight – perceptible throughout the entire cortex in the blink of an eye, without having to expend massive additional chemical energy.
The neurotransmitters at work are:
GABA (Gamma-Aminobutyric Acid): The most important calming neurotransmitter. It dampens neuronal hyperactivity (hyperarousal) and allows the brain to oscillate smoothly, deeply, and energy-efficiently.
Serotonin: Increases measurably and conveys the deep feeling of emotional calm, satisfaction, and inner expansiveness.
3. Binding of Information (Neural Binding & Coherence)
When you see a red, flying ball, one brain area processes the color red, another the round shape, and a third the movement. This results in a single image because the involved, widely scattered brain areas perform a resonance tuning with each other. They begin to oscillate in absolutely exact milliseconds (phase coupling). Through this coherence, the individual information fragments merge into a unified conscious perception (qualia).
GABA (Gamma-Aminobutyric Acid): The most important calming neurotransmitter. It dampens neuronal hyperactivity (hyperarousal) and allows the brain to oscillate smoothly, deeply, and energy-efficiently.
Serotonin: Increases measurably and conveys the deep feeling of emotional calm, satisfaction, and inner expansiveness.
3. Binding of Information (Neural Binding & Coherence)
When you see a red, flying ball, one brain area processes the color red, another the round shape, and a third the movement. This results in a single image because the involved, widely scattered brain areas perform a resonance tuning with each other. They begin to oscillate in absolutely exact milliseconds (phase coupling). Through this coherence, the individual information fragments merge into a unified conscious perception (qualia).
The neurotransmitters are:
Endorphins & dopamine: The reward system fires in the state of unity. Intense feelings of happiness (Ananda) and deep inner peace occur.
Oxytocin & Vasopressin: These "bonding hormones" create the psychological feeling of deep connection with all that exists and simultaneously enhance the memory formation for this state.
4. Plasticity and Learning (Adaptive Resonance)
In cognitive science, the Adaptive Resonance Theory (ART) describes how we learn without overwriting what we have already learned. When a sensory impression from the outside meets an internal expectation model in the brain and both harmonize, resonance occurs. This resonance signals to the brain: "The signal is important and makes sense." Only this resonance tuning triggers synaptic plasticity (the physical change of synapses), thereby anchoring the event in long-term memory. Considering these necessary functions, it becomes clear what happens with mental methods like Samyama: It is the conscious use of resonance tuning. This transforms the brain into a maximum, large-scale resonance (standing macro-waves). The everyday noise is filtered (Function 1), the signal strength of the meditation object is massively amplified (Function 2), and the entire system is transformed into a state of deep, harmonious unity.
Oxytocin & Vasopressin: These "bonding hormones" create the psychological feeling of deep connection with all that exists and simultaneously enhance the memory formation for this state.
4. Plasticity and Learning (Adaptive Resonance)
In cognitive science, the Adaptive Resonance Theory (ART) describes how we learn without overwriting what we have already learned. When a sensory impression from the outside meets an internal expectation model in the brain and both harmonize, resonance occurs. This resonance signals to the brain: "The signal is important and makes sense." Only this resonance tuning triggers synaptic plasticity (the physical change of synapses), thereby anchoring the event in long-term memory. Considering these necessary functions, it becomes clear what happens with mental methods like Samyama: It is the conscious use of resonance tuning. This transforms the brain into a maximum, large-scale resonance (standing macro-waves). The everyday noise is filtered (Function 1), the signal strength of the meditation object is massively amplified (Function 2), and the entire system is transformed into a state of deep, harmonious unity.
The neurotransmitters in Samyama are therefore:
Maximum glutamate and acetylcholine waves: They drive high-frequency gamma waves (30–100 Hz). This frequency is neurobiologically the key to neuronal plasticity and to completely rewiring neuronal connections both structurally and functionally.
Maximum glutamate and acetylcholine waves: They drive high-frequency gamma waves (30–100 Hz). This frequency is neurobiologically the key to neuronal plasticity and to completely rewiring neuronal connections both structurally and functionally.
BDNF (Brain-Derived Neurotrophic Factor): The "fertilizer" of the brain. Through the extreme neural synchronization during Samyama, BDNF is released. It ensures that new synapses grow, cells rewire themselves, and the microstructure of the brain is permanently altered.
These resonance functions can be directly assigned to the three limbs of yoga - Dharana, Dhyana, and Samadhi - and simultaneously enable their orderly interaction as Samyama.
1. Dharana (concentration) = selective attention & input filtering
Dharana is the voluntary, effortful fixation of the mind on an object. In the brain, this corresponds to the activation of the frontoparietal attention network. Disruptive signals and everyday noise are blocked to narrow the "walls of the resonance space."
2. Dhyana (Meditation) = Signal amplification with minimal effort
When Dharana transitions into the effortless, continuous flow of Dhyana, the tension dissipates. The brain enters a highly efficient state. Through resonant synchronization (usually strong alpha and theta waves), the bioelectrical impulses add up by themselves. The meditation object becomes enormous in the mind while energy consumption decreases.
3. Samadhi (Absorption): Binding of information (coherence)
These resonance functions can be directly assigned to the three limbs of yoga - Dharana, Dhyana, and Samadhi - and simultaneously enable their orderly interaction as Samyama.
1. Dharana (concentration) = selective attention & input filtering
Dharana is the voluntary, effortful fixation of the mind on an object. In the brain, this corresponds to the activation of the frontoparietal attention network. Disruptive signals and everyday noise are blocked to narrow the "walls of the resonance space."
2. Dhyana (Meditation) = Signal amplification with minimal effort
When Dharana transitions into the effortless, continuous flow of Dhyana, the tension dissipates. The brain enters a highly efficient state. Through resonant synchronization (usually strong alpha and theta waves), the bioelectrical impulses add up by themselves. The meditation object becomes enormous in the mind while energy consumption decreases.
3. Samadhi (Absorption): Binding of information (coherence)
In Samadhi, subject (you) and object (the meditation) completely merge. The illusion of separation collapses. Neurobiologically, this corresponds to a total, large-scale phase coupling in the brain. Those areas that construct the "self" (the Default Mode Network) are synchronized and recede into the background. All fragments of information merge into an absolute, holistic unity. Consequently:
4. Samyama = Plasticity and Learning (Transformation)
Samyama is not a fourth state, but the simultaneous, masterful mastery of all three stages as a single tool. When concentration (1), amplification (2), and unity (3) are directed like a laser onto a single point, the ultimate form of resonance tuning is created.
Samyama permanently changes the brain (structural neuroplasticity). It physically engraves the experience of deep immersion into the neural architecture. According to Patanjali, Samyama leads to Prajna (highest intuitive knowledge). The brain learns to operate permanently on a higher order level.
4. Samyama = Plasticity and Learning (Transformation)
Samyama is not a fourth state, but the simultaneous, masterful mastery of all three stages as a single tool. When concentration (1), amplification (2), and unity (3) are directed like a laser onto a single point, the ultimate form of resonance tuning is created.
Samyama permanently changes the brain (structural neuroplasticity). It physically engraves the experience of deep immersion into the neural architecture. According to Patanjali, Samyama leads to Prajna (highest intuitive knowledge). The brain learns to operate permanently on a higher order level.
In Dharana, it filters; in Dhyana, it amplifies; in Samadhi, it connects. Samyama uses this concentrated resonance power to completely rewire the brain physically and functionally.
The discussion with Margot Süttmann
This perspective of the Yoga Sutras of the research by A. Chandia-Jorquera and his colleques published in the Journal of Cognition and Neuroscience 2026; 38 (10): 2028–2045 raises the intriguing possibility that Samyama may be approached as a condition in which stability and flexibility, coordination and differentiation, and openness and non-reactivity are simultaneously maintained.
This should not be read as a one-to-one translation of Yoga terminology into neuroscience. Rather, it suggests that Samyama may be approached as a multidimensional organization of brain dynamics, in which different physiological measures capture different aspects of the state. The various findings can now be brought together into one tentative model:
A scientifically useful interpretation should clearly distinguish the following three levels.
Relatively well supported by the recent study
This perspective of the Yoga Sutras of the research by A. Chandia-Jorquera and his colleques published in the Journal of Cognition and Neuroscience 2026; 38 (10): 2028–2045 raises the intriguing possibility that Samyama may be approached as a condition in which stability and flexibility, coordination and differentiation, and openness and non-reactivity are simultaneously maintained.
This possiblity has been discussed in a short Email exchange with Margot Süttmann. Her arguments have been integrated in the following picture of the recent research :
This distinction is highly relevant to a neuroscientific interpretation of Samyama as will be discussed now:. The discussion is include here so that it does not doesn't fall into oblivion
1. The classical alpha-coherence model
For many years, increased EEG alpha coherence was one of the characteristic findings associated with TM. The basic interpretation was that spatially distributed brain regions become more coherently organized during meditation. This provided an attractive physiological interpretation of the concept of integration: increased alpha coherence → increased global integration → restful alertness.
The newer research does not invalidate this finding. Instead, it raises a more fundamental methodological question: What exactly does coherence measure? Conventional coherence can be influenced by volume conduction. The same electrical source can be detected at several electrodes and thereby create apparent zero-lag synchronization without demonstrating direct communication between the underlying neural regions. This is one reason why newer studies increasingly use measures such as the Weighted Phase Lag Index (wPLI). WPLI emphasizes consistent non-zero phase relationships and is therefore less sensitive to one important form of volume-conduction artifact. But this methodological improvement comes with an important conceptual qualification: WPLI measures coordinated phase relationships; it does not by itself demonstrate causal communication or information transfer. Consequently: higher WPLI → more consistent phase coordination does not entail:
The latter is a functional and causal hypothesis that requires additional evidence.
2. The multidimensional picture of the Cambridge study
Chandia-Jorquera and colleagues approached pure awareness using a broader set of EEG measures. Their study combined high-density EEG with Temporal Experience Tracing and examined experienced TM practitioners and matched controls performing mental counting. The participants underwent approximately: rest → 30 minutes TM/counting → rest and subsequently reconstructed the temporal course of their experience. This methodological innovation is important because pure awareness is not necessarily a static state. During a meditation session a practitioner may move repeatedly between ordinary thought, settling, deeper transcendence and periods of more or less explicit pure awareness.
Temporal Experience Tracing therefore provides a more differentiated phenomenological description than a single retrospective rating. The researchers examined several dimensions of neural activity, including: permutation entropy, Lempel-Ziv complexity, aperiodic/1/f activity, mWPLI and other linear connectivity measures, nonlinear information-sharing measures.
The study therefore asks a fundamentally different question from older single-marker studies:
Which dimensions of brain dynamics actually distinguish the state?
3. The central finding: a double dissociation
The most interesting result is what the authors call a double dissociation. When TM was compared with the control condition of mental counting, temporal entropy and aperiodic dynamics were among the strongest discriminators, whereas phase-coherence measures contributed relatively little. When TM was compared with the practitioners' own resting baseline, however, low-frequency functional connectivity became dominant, while temporal entropy contributed much less. This produces a remarkable conceptual combination:
Compared with ordinary cognition: greater temporal diversity, altered aperiodic dynamics, richer nonlinear organization
Compared with resting baseline: greater low-frequency coordination; greater temporal stabilization,
The important point is therefore not simply that “meditation increases coherence. Rather, pure awareness appears to be associated with different dimensions of neural organization depending on the comparison being made.
The brain can simultaneously display: greater dynamical diversity and greater large-scale coordination.
This is perhaps the most important new insight for a possible neuroscientific interpretation of Samyama.
4. Entropy: less content does not necessarily mean less neural diversity
Permutation entropy measures the diversity or unpredictability of temporal patterns in a signal. The Cambridge findings suggest that pure awareness is not characterized simply by a reduction of neural complexity. This is conceptually important. Phenomenologically, pure awareness is described as involving less specific content: fewer thoughts, reduced object-directed cognition, reduced sensory involvement, reduced self-referential structure.
One might therefore expect the brain to become correspondingly simpler. But the emerging picture is more subtle: less phenomenal content ≠ less neural differentiation. Indeed, the neural dynamics may retain—or under some measures display—an expanded repertoire of possible configurations. This allows an important distinction: The reduction may concern the dominance of particular contents rather than the richness of the underlying dynamical repertoire. In other words, the brain need not become homogeneous simply because consciousness becomes phenomenologically less object-bound.
5. Aperiodic dynamics: beyond the traditional frequency-band model
Another important development is the increased attention to aperiodic activity. Traditional EEG analysis often concentrates on familiar frequency bands such as delta, theta, alpha and beta. Aperiodic analysis instead examines the broadband background structure of neural activity, often described in terms of the 1/f exponent and offset. This is important because the brain is not simply a collection of independent oscillators. Its activity contains both rhythmic and non-rhythmic components. Recent methodological work emphasizes that aperiodic activity is physiologically meaningful and can reflect multiple underlying neural processes rather than simply “noise.” For the study of Samyama this suggests that a complete neural description cannot be restrited to: Which frequency becomes synchronized? It must also ask: How does the entire dynamical regime of the brain change?
6. WPLI and the stabilization of slow dynamics
This leads to the particularly interesting finding concerning delta and theta WPLI. When TM was compared with the practitioners' own resting baseline, low-frequency functional connectivity became especially informative. The relevant interpretation proposed in the discussion is that slow phase relationships may contribute to the stabilization of the meditative state. But an essential methodological distinction must be preserved: WPLI demonstrates coordination, not stabilization in the causal sense. More precisely:WPLI measures consistency of non-zero phase relationships.
Increased delta/theta WPLI can therefore indicate more stable temporal coordination of slow dynamics.
It does not establish that this coordination causes the global state to become more stable.
It does not establish that it prevents sensory information from reorganizing the brain.
It does not establish causal communication between brain regions.
Thus: WPLI → evidence for coordination while resistance to perturbation → an additional dynamical property that must be demonstrated independently.
This distinction is crucial if WPLI is to become relevant to a theory of Samyama.
7. Why delta should not simply be interpreted as “sensory shutdown”
During deep NREM sleep, slow oscillations are associated with changes in thalamocortical excitability and reduced transmission of sensory information. GABAergic mechanisms and thalamic dynamics contribute to this sleep-related gating. This provides a useful proof of principle: slow coordinated dynamics can be associated with reduced susceptibility to external perturbation. But it would be a mistake to transfer the sleep mechanism directly to meditation. Pure awareness during TM is phenomenologically characterized not by unconsciousness but by wakefulness with greatly reduced ordinary content. Therefore: NREM sleep is signified by slow dynamics→ reduced arousal → altered thalamocortical relay → reduced sensory responsiveness.
while the hypothetical deep TM / PA state shows slow coordination → stabilization of the background dynamical regime → reduced susceptibility to irrelevant capture→ preserved wakefulness and responsiveness.
The second pathway is a hypothesis, not an established physiological mechanism.The crucial question is therefore not: Does delta “close the gate”? but: Can slow coordination stabilize the global dynamical state without closing the system to relevant information? That would be a very different phenomenon from sleep.
8. From suppression to resistance to capture
This distinction leads to one of the most useful concepts that emerged from Margot Süttmann´discussion discussions: Preventing particular dynamics from automatically capturing the system. Suppose a sound, memory, bodily sensation or emotional event activates a local neural network. The important question is not whether that network becomes active. It may and probably should. The question is: Does a local perturbation become a global reorganization of the entire state? This gives us a useful distinction: local perturbation ≠ global state transition.
A stable dynamical system may allow local activity while preventing that activity from becoming the new global organizing center. Thus the relevant property would not be suppression but reduced global capturability. This leads to a particularly interesting formulation: A stable PA state could be highly locally responsive while having a low probability of inappropriate global capture. That is much closer to “restful alertness” than the idea of sensory shutdown.
9. Stability without rigidity
This is where the findings of the Cambridge study begin to connect with a broader systems-theoretical interpretation of Samyama. A simplistic model of integration would be: integration = synchronization = homogenization. The newer neuroscience suggests a more complex possibility:
integration = coordinated interaction + preserved differentiation.
The brain may maintain a common dynamical context without all its components becoming identical or maximally phase-locked. This can be expressed as: stable but not closed; open but not reactive; differentiated but coordinated.
Such a formulation provides a possible neuroscientific counterpart to the traditional idea that deep meditative absorption does not simply eliminate activity but changes the relationship between activity, attention and awareness.
10. CNV and P300: stability does not imply reduced responsiveness
Another line of research discussed in Margot Süttmanns correspondence concerns contingent negative variation (CNV) and P300 responses in advanced meditators. CNV provides information about preparatory brain activity. Findings discussed in the correspondence suggest robust preparatory responses in predictable situations and more differentiated, flexible preparation when tasks require choices. Shorter P300 latency to novel stimuli provides an additional indication of rapid processing of unexpected information. Taken together, this suggests a potentially important pattern:
stable → ready → selectively responsive → rapidly adaptive.
This is fundamentally different from: stable → passive → less responsive. It suggests that stability and flexibility need not be opposites. A system may maintain a stable background while rapidly reallocating processing resources when the situation requires it. This provides a possible physiological formulation of restful alertness: high readiness without high reactivity.
12. The state–trait distinction
An important limitation is that the Cambridge study primarily investigates a state. The EEG pattern observed during TM did not show strong evidence of carrying over into subsequent rest; in contrast, the counting condition produced more residual changes. This matters for theories that connect Samadhi or long-term meditative development with enduring changes in the nervous system. One should therefore distinguish: state from trait. A person may repeatedly enter a particular dynamical state without the EEG configuration necessarily becoming a permanent resting-state trait. At the same time, repeated practice could potentially alter the capacity to enter, recognize, maintain or function from such a state.
These are separate empirical questions.
From the perspective of the Yoga Sutras, the most interesting implication is therefore not that one EEG frequency “represents” Samyama. Rather, different physiological measures may correspond to different dimensions of a more complex dynamical process. A tentative conceptual mapping would be:
meditation → reorganization of global dynamics → coordinated stability + dynamical diversity.
This distinction is highly relevant to a neuroscientific interpretation of Samyama as will be discussed now:. The discussion is include here so that it does not doesn't fall into oblivion
1. The classical alpha-coherence model
For many years, increased EEG alpha coherence was one of the characteristic findings associated with TM. The basic interpretation was that spatially distributed brain regions become more coherently organized during meditation. This provided an attractive physiological interpretation of the concept of integration: increased alpha coherence → increased global integration → restful alertness.
The newer research does not invalidate this finding. Instead, it raises a more fundamental methodological question: What exactly does coherence measure? Conventional coherence can be influenced by volume conduction. The same electrical source can be detected at several electrodes and thereby create apparent zero-lag synchronization without demonstrating direct communication between the underlying neural regions. This is one reason why newer studies increasingly use measures such as the Weighted Phase Lag Index (wPLI). WPLI emphasizes consistent non-zero phase relationships and is therefore less sensitive to one important form of volume-conduction artifact. But this methodological improvement comes with an important conceptual qualification: WPLI measures coordinated phase relationships; it does not by itself demonstrate causal communication or information transfer. Consequently: higher WPLI → more consistent phase coordination does not entail:
higher WPLI → causal communication → greater integration → greater stability.
The latter is a functional and causal hypothesis that requires additional evidence.
2. The multidimensional picture of the Cambridge study
Chandia-Jorquera and colleagues approached pure awareness using a broader set of EEG measures. Their study combined high-density EEG with Temporal Experience Tracing and examined experienced TM practitioners and matched controls performing mental counting. The participants underwent approximately: rest → 30 minutes TM/counting → rest and subsequently reconstructed the temporal course of their experience. This methodological innovation is important because pure awareness is not necessarily a static state. During a meditation session a practitioner may move repeatedly between ordinary thought, settling, deeper transcendence and periods of more or less explicit pure awareness.
Temporal Experience Tracing therefore provides a more differentiated phenomenological description than a single retrospective rating. The researchers examined several dimensions of neural activity, including: permutation entropy, Lempel-Ziv complexity, aperiodic/1/f activity, mWPLI and other linear connectivity measures, nonlinear information-sharing measures.
The study therefore asks a fundamentally different question from older single-marker studies:
Which dimensions of brain dynamics actually distinguish the state?
3. The central finding: a double dissociation
The most interesting result is what the authors call a double dissociation. When TM was compared with the control condition of mental counting, temporal entropy and aperiodic dynamics were among the strongest discriminators, whereas phase-coherence measures contributed relatively little. When TM was compared with the practitioners' own resting baseline, however, low-frequency functional connectivity became dominant, while temporal entropy contributed much less. This produces a remarkable conceptual combination:
Compared with ordinary cognition: greater temporal diversity, altered aperiodic dynamics, richer nonlinear organization
Compared with resting baseline: greater low-frequency coordination; greater temporal stabilization,
The important point is therefore not simply that “meditation increases coherence. Rather, pure awareness appears to be associated with different dimensions of neural organization depending on the comparison being made.
The brain can simultaneously display: greater dynamical diversity and greater large-scale coordination.
This is perhaps the most important new insight for a possible neuroscientific interpretation of Samyama.
4. Entropy: less content does not necessarily mean less neural diversity
Permutation entropy measures the diversity or unpredictability of temporal patterns in a signal. The Cambridge findings suggest that pure awareness is not characterized simply by a reduction of neural complexity. This is conceptually important. Phenomenologically, pure awareness is described as involving less specific content: fewer thoughts, reduced object-directed cognition, reduced sensory involvement, reduced self-referential structure.
One might therefore expect the brain to become correspondingly simpler. But the emerging picture is more subtle: less phenomenal content ≠ less neural differentiation. Indeed, the neural dynamics may retain—or under some measures display—an expanded repertoire of possible configurations. This allows an important distinction: The reduction may concern the dominance of particular contents rather than the richness of the underlying dynamical repertoire. In other words, the brain need not become homogeneous simply because consciousness becomes phenomenologically less object-bound.
5. Aperiodic dynamics: beyond the traditional frequency-band model
Another important development is the increased attention to aperiodic activity. Traditional EEG analysis often concentrates on familiar frequency bands such as delta, theta, alpha and beta. Aperiodic analysis instead examines the broadband background structure of neural activity, often described in terms of the 1/f exponent and offset. This is important because the brain is not simply a collection of independent oscillators. Its activity contains both rhythmic and non-rhythmic components. Recent methodological work emphasizes that aperiodic activity is physiologically meaningful and can reflect multiple underlying neural processes rather than simply “noise.” For the study of Samyama this suggests that a complete neural description cannot be restrited to: Which frequency becomes synchronized? It must also ask: How does the entire dynamical regime of the brain change?
6. WPLI and the stabilization of slow dynamics
This leads to the particularly interesting finding concerning delta and theta WPLI. When TM was compared with the practitioners' own resting baseline, low-frequency functional connectivity became especially informative. The relevant interpretation proposed in the discussion is that slow phase relationships may contribute to the stabilization of the meditative state. But an essential methodological distinction must be preserved: WPLI demonstrates coordination, not stabilization in the causal sense. More precisely:WPLI measures consistency of non-zero phase relationships.
Increased delta/theta WPLI can therefore indicate more stable temporal coordination of slow dynamics.
It does not establish that this coordination causes the global state to become more stable.
It does not establish that it prevents sensory information from reorganizing the brain.
It does not establish causal communication between brain regions.
Thus: WPLI → evidence for coordination while resistance to perturbation → an additional dynamical property that must be demonstrated independently.
This distinction is crucial if WPLI is to become relevant to a theory of Samyama.
7. Why delta should not simply be interpreted as “sensory shutdown”
During deep NREM sleep, slow oscillations are associated with changes in thalamocortical excitability and reduced transmission of sensory information. GABAergic mechanisms and thalamic dynamics contribute to this sleep-related gating. This provides a useful proof of principle: slow coordinated dynamics can be associated with reduced susceptibility to external perturbation. But it would be a mistake to transfer the sleep mechanism directly to meditation. Pure awareness during TM is phenomenologically characterized not by unconsciousness but by wakefulness with greatly reduced ordinary content. Therefore: NREM sleep is signified by slow dynamics→ reduced arousal → altered thalamocortical relay → reduced sensory responsiveness.
while the hypothetical deep TM / PA state shows slow coordination → stabilization of the background dynamical regime → reduced susceptibility to irrelevant capture→ preserved wakefulness and responsiveness.
The second pathway is a hypothesis, not an established physiological mechanism.The crucial question is therefore not: Does delta “close the gate”? but: Can slow coordination stabilize the global dynamical state without closing the system to relevant information? That would be a very different phenomenon from sleep.
8. From suppression to resistance to capture
This distinction leads to one of the most useful concepts that emerged from Margot Süttmann´discussion discussions: Preventing particular dynamics from automatically capturing the system. Suppose a sound, memory, bodily sensation or emotional event activates a local neural network. The important question is not whether that network becomes active. It may and probably should. The question is: Does a local perturbation become a global reorganization of the entire state? This gives us a useful distinction: local perturbation ≠ global state transition.
A stable dynamical system may allow local activity while preventing that activity from becoming the new global organizing center. Thus the relevant property would not be suppression but reduced global capturability. This leads to a particularly interesting formulation: A stable PA state could be highly locally responsive while having a low probability of inappropriate global capture. That is much closer to “restful alertness” than the idea of sensory shutdown.
9. Stability without rigidity
This is where the findings of the Cambridge study begin to connect with a broader systems-theoretical interpretation of Samyama. A simplistic model of integration would be: integration = synchronization = homogenization. The newer neuroscience suggests a more complex possibility:
integration = coordinated interaction + preserved differentiation.
The brain may maintain a common dynamical context without all its components becoming identical or maximally phase-locked. This can be expressed as: stable but not closed; open but not reactive; differentiated but coordinated.
Such a formulation provides a possible neuroscientific counterpart to the traditional idea that deep meditative absorption does not simply eliminate activity but changes the relationship between activity, attention and awareness.
10. CNV and P300: stability does not imply reduced responsiveness
Another line of research discussed in Margot Süttmanns correspondence concerns contingent negative variation (CNV) and P300 responses in advanced meditators. CNV provides information about preparatory brain activity. Findings discussed in the correspondence suggest robust preparatory responses in predictable situations and more differentiated, flexible preparation when tasks require choices. Shorter P300 latency to novel stimuli provides an additional indication of rapid processing of unexpected information. Taken together, this suggests a potentially important pattern:
stable → ready → selectively responsive → rapidly adaptive.
This is fundamentally different from: stable → passive → less responsive. It suggests that stability and flexibility need not be opposites. A system may maintain a stable background while rapidly reallocating processing resources when the situation requires it. This provides a possible physiological formulation of restful alertness: high readiness without high reactivity.
12. The state–trait distinction
An important limitation is that the Cambridge study primarily investigates a state. The EEG pattern observed during TM did not show strong evidence of carrying over into subsequent rest; in contrast, the counting condition produced more residual changes. This matters for theories that connect Samadhi or long-term meditative development with enduring changes in the nervous system. One should therefore distinguish: state from trait. A person may repeatedly enter a particular dynamical state without the EEG configuration necessarily becoming a permanent resting-state trait. At the same time, repeated practice could potentially alter the capacity to enter, recognize, maintain or function from such a state.
These are separate empirical questions.
From the perspective of the Yoga Sutras, the most interesting implication is therefore not that one EEG frequency “represents” Samyama. Rather, different physiological measures may correspond to different dimensions of a more complex dynamical process. A tentative conceptual mapping would be:
Neural dimension vs Possible functional description
Alpha coherence vs global coordination / integration
Delta WPLI vs slow background coordination
Theta WPLI vs temporal/contextual coordination
Entropy vs repertoire/diversity of neural configurations
Aperiodic dynamics vs broadband dynamical organization
Nonlinear connectivity / WSMI vs complex information exchange
CNV vs preparedness
P300 vs rapid response to novelty
This should not be read as a one-to-one translation of Yoga terminology into neuroscience. Rather, it suggests that Samyama may be approached as a multidimensional organization of brain dynamics, in which different physiological measures capture different aspects of the state. The various findings can now be brought together into one tentative model:
settling
↓
reduced object-directed competition
↓
stabilization of slow background dynamics
↓
preservation of differentiated neural activity
↓
reduced global capture by transient events
↓
continued wakeful openness
↓
rapid selective responsiveness
↓
possible emergence of relevant configurations/insight
A scientifically useful interpretation should clearly distinguish the following three levels.
Relatively well supported by the recent study
- TM is associated with a distinctive multivariate EEG pattern.
- Pure-awareness reports are greater and temporally variable in experienced TM practitioners.
- Temporal entropy and aperiodic dynamics are particularly informative in the TM-versus-counting comparison.
- Low-frequency functional connectivity is particularly informative in the TM-versus-baseline comparison.
- The neural pattern is distributed rather than reducible to a single localized effect.
- There is little evidence for a strong carry-over into the subsequent resting period.
- Slow coordination may contribute to stabilization of the meditative state.
- Greater dynamical diversity may coexist with global coordination.
- Alpha coherence may represent one observable manifestation of a broader dynamical regime.
- A stable background may reduce susceptibility to global capture by transient stimuli.
- Integration may occur without functional homogenization.
- Whether delta/theta WPLI causally contributes to stabilization.
- Whether increased slow coordination actually increases resistance to perturbation.
- Whether PA involves a specific mechanism distinct from other forms of absorption or relaxation.
- Whether repeated experience produces durable trait-level changes.
- Whether PA systematically enhances insight beyond ordinary mechanisms of memory, expertise and unconscious processing.
- Whether the traditional phenomenological stages of Samyama can be mapped onto reproducible transitions in brain dynamics.
From the perspective of Samyama, this suggests a shift from the idea of synchronization as the endpoint of integration toward a more subtle conception: integration without homogenization, stability without rigidity, openness without reactivity, and coordination without loss of autonomy. If such a pattern could be demonstrated, it would provide an empirical basis for a concept that lies at the heart of both the present neuroscientific discussion and the traditional idea of Samyama:
a system can become more stable without becoming less alive, more integrated without becoming homogeneous, and more inwardly settled without becoming closed to what is relevant.
Samyama may be a condition in which stability and flexibility, coordination and differentiation, and openness and non-reactivity are simultaneously maintained.