Category: Protocol-002

Decoding Depth of Meditation: EEG Insights from Expert Vipassana Practitioners

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Reggente, N., Kothe, C., Brandmeyer, T., Hanada, G., Simonian, N., Mullen, S., & Mullen, T. (2024). Decoding Depth of Meditation: EEG Insights from Expert Vipassana Practitioners. Biological Psychiatry Global Open Science, 5(1), 100402. https://doi.org/10.1016/j.bpsgos.2024.100402

Reggente, Nicco, et al. “Decoding Depth of Meditation: EEG Insights from Expert Vipassana Practitioners.” Biological Psychiatry Global Open Science, vol. 5, no. 1, Oct. 2024, p. 100402, doi:10.1016/j.bpsgos.2024.100402.

@article{Reggente_Kothe_Brandmeyer_Hanada_Simonian_Mullen_Mullen_2024, title={Decoding Depth of Meditation: EEG Insights from Expert Vipassana Practitioners}, volume={5}, url={https://doi.org/10.1016/j.bpsgos.2024.100402}, DOI={10.1016/j.bpsgos.2024.100402}, number={1}, journal={Biological Psychiatry Global Open Science}, author={Reggente, Nicco and Kothe, Christian and Brandmeyer, Tracy and Hanada, Grant and Simonian, Ninette and Mullen, Sean and Mullen, Tim}, year={2024}, month=oct, pages={100402} }

Since it’s inception, the Institute for Advanced Consciousness Studies has been driven by a mission to create what we call a “Qualia Compass”—a tool that can collect “mental souvenirs” from hard-to-achieve states of consciousness. The purpose? To help individuals return to those states more easily and remain there longer through personalized, multivariate neurofeedback. This ambitious project seeks to, first, democratize access to profound meditative experiences that typically require years of dedicated practice.

Our recent research represents a significant step toward this goal, successfully decoding self-reported meditative depth using EEG data from expert Vipassana practitioners. Rather than simply distinguishing meditation from mind-wandering (as most previous research has done), we’ve tackled the more nuanced challenge of differentiating between various depths of meditation—a critical advancement for developing effective neurofeedback tools.

Beyond Binary Classifications

Traditional approaches to meditation research often suffer from what we might call the “soup versus salad problem.” The vast majority of neuroscientific investigations into meditation have focused on comparing meditation to mind-wandering—essentially contrasting two fundamentally different cognitive states, akin to comparing soup to salad. While this approach has yielded valuable insights, it falls short of our more ambitious goal: understanding the subtle gradations within meditative states themselves.

Our research adopts the perspective of a master chef who, rather than comparing soup to salad, focuses on discerning subtle variations within a single complex soup (variations A1 and A2). This approach acknowledges that to truly master the art of making exceptional soup—or in our case, to understand and facilitate profound meditation—we must develop a nuanced understanding of the elements that differentiate various iterations of the same fundamental state. By examining gradations within the meditative experience, we can identify the specific neural patterns that characterize progressively deeper states of meditation.

This focus on nuances within a singular state promises to deepen our understanding of meditation’s neural correlates. Yet pursuing this approach introduces a methodological challenge that French philosopher Auguste Comte identified: one cannot simultaneously observe oneself walking on the street from a balcony. In meditation research, this manifests as the “observer effect”—the act of reporting one’s meditative state inevitably disrupts that state. That is, the moment we try and observe the state we wish to measure is the same moment that it is no longer that state.

The Spontaneous Emergence Solution

To address this dilemma, we introduced “spontaneous emergence” as an experiential sampling method. Rather than interrupting meditation with systematic probes, participants naturally reported their meditative depth when they spontaneously emerged from deeper states. This approach yielded comparable decoding performance to traditional probing methods while preserving ecological validity—providing a less intrusive way to gather phenomenological data during meditation.

Our study involved 34 expert Vipassana practitioners who visited our lab on two separate occasions. Using source-localized EEG activity in the theta, alpha, and gamma frequency bands, we built machine learning models that could predict meditative depth in unseen sessions—essentially, we trained the models on data from one visit and tested them on the other.

Remarkable Results

Despite conventional EEG channel-level methods failing to show significant correlations with meditation depth, our multivariate machine learning approaches demonstrated remarkable accuracy in predicting participants’ self-reported depth ratings. This suggests that the neural dynamics of varying meditation depths are too complex and non-linear to be captured by traditional univariate analyses.

Our best models achieved performance levels comparable to those seen in established EEG-based brain-computer interfaces, with area under the curve (AUC) scores approaching 0.81 for distinguishing between low and high meditation depths. To put this in perspective, this means our algorithm could correctly classify 81 out of 100 different depth reportings in the high versus low domain. This level of accuracy is particularly impressive considering the subtle, internally-generated nature of meditative states, approaching the performance of well-established brain-computer interfaces used for detecting much more distinct phenomena like imagined hand movements.

For the continuous 0-5 scale, our models achieved a mean absolute error (MAE) as low as 1.15, substantially better than chance (1.51). Think of this as a meditation depth “thermometer” that’s typically just over one degree off—if a practitioner reports being at level 4, our algorithm might predict 3 or 5, but rarely would it mistake a shallow level 1 for a profound level 5 experience.

Perhaps most remarkably, the “spontaneous emergence” method—where participants naturally reported their depth when emerging from meditation—performed just as well as the more intrusive probing approach, while providing more ecological validity and yielding more data points.

The connectivity patterns we observed revealed fascinating neural signatures across frequency bands. In the theta band, we found increased frontal-midline activity—a known signature of focused-attention meditation—within a complex interplay of activations in right parietal and frontal pole regions. Alpha band activity showed distinct increases in midline parietal regions complemented by left parietal reduction, partially mapping onto trait-level mindfulness. Meanwhile, gamma band activity revealed increased occipitoparietal activity causally influencing midline parietal regions.

Ecological Validity and Phenomenological Coherence

Further analysis revealed that the spontaneous emergence method not only generated significantly more data points (45.6% higher reporting frequency) than the probe-based approach but also demonstrated stronger correlations with post-session assessments of meditation quality. Participants reported substantially higher confidence in their depth ratings when self-determining when to report (“emerge” condition) versus when prompted (“probe” condition). This enhanced metacognitive certainty was reflected in post-session questionnaire responses, where Toronto Mindfulness Scale (TMS) scores and Meditation Depth Index (MEDI) ratings showed stronger alignment with data collected during spontaneous emergence blocks. The phenomenological coherence between in-session spontaneous reports and post-session reflective assessments suggests that the emergence method captures more authentic aspects of the meditative experience—preserving the integrity of both the subjective experience and its neural correlates. This finding has profound implications for meditation research methodology, indicating that less intrusive approaches may yield more ecologically valid data while simultaneously improving participants’ ability to maintain deeper meditative states.

Next Steps: Personalized Neurofeedback

These findings represent a critical step toward developing more sophisticated, multivariate-based neurofeedback systems. By identifying the neural correlates representing different gradations of meditative depth, we can move beyond the limitations of traditional univariate neurofeedback protocols that risk misinterpreting certain states of consciousness as meditative.

Our ultimate goal is to use these personalized, real-time neural signatures to create adaptive neurofeedback systems that guide individuals toward deeper meditation states—serving as the “training wheels” that gradually become unnecessary as practitioners develop their own metacognitive skills for recognizing and maintaining profound meditative states.

By achieving a better understanding of Vipassana meditation, which underlies many modern mindfulness practices, this research stands to significantly advance the rapidly expanding realm of meditation-based interventions, potentially making these powerful practices more accessible and effective for a broader population.

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woman doing a grocery task, showcasing the need for VR for cognition and memory

VR for Cognition and Memory

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This blog post is based on a recent book chapter “VR for Cognition and Memory” in Current Topics in Behavioral Neuroscience: Virtual Reality in Behavioral Neuroscience: New Insights and Methods. This work presents a review of research on VR’s ability to provide ecologically valid environments to study memory and cognition and discusses how features like interactivity, locomotion, and contextual control engage the brain’s memory systems more naturally than lab studies.

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Reggente N. (2023). VR for Cognition and Memory. Current topics in behavioral neurosciences, 10.1007/7854_2023_425. Advance online publication. https://doi.org/10.1007/7854_2023_425

Reggente N. VR for Cognition and Memory [published online ahead of print, 2023 Jul 14]. Curr Top Behav Neurosci. 2023;10.1007/7854_2023_425. doi:10.1007/7854_2023_425

Reggente, Nicco. “VR for Cognition and Memory.” Current topics in behavioral neurosciences, 10.1007/7854_2023_425. 14 Jul. 2023, doi:10.1007/7854_2023_425

Revolutionizing Cognition Research with Virtual Reality

For decades, scientists have worked tirelessly to elucidate the intricate neural machinery supporting human cognition. This endeavor is certainly not for the faint of heart, as formidable challenges present themselves at every turn.

“To study cognition holistically means investigating interconnections between its rich repertoire of functions, including attention, reasoning, language, and memory. Memory is a particularly crucial facet, as it supports and subserves all other aspects of cognition; no cognitive task can be accomplished without memory.”

A holistic understanding demands that we study cognition as it operates in its natural habitat – the real world. Otherwise, as the parable of the blind men and the elephant warns, we risk gross mischaracterizations. Researchers must therefore conduct experiments in “verisimilar contexts (i.e. contexts appearing as the RW)” to achieve ecological validity.

Virtual reality (VR) presents an unprecedented opportunity in this regard. By simulating the real world, we can now study memory and cognition with enhanced veridicality.

“The environmental customization afforded by VR makes it an ideal tool for studying cognition in an ecologically valid fashion. Through the lens of memory studies, this chapter showcases the ways in which VR has advanced a meaningful and applicable understanding of cognition.”

The article presents a thorough review of research that showcases how VR is revolutionizing the study of cognition and memory.

Bridging the Gap Between Lab and Real-World Cognition

Traditional lab experiments often possess limited generalizability, whereas VR can provide naturalistic environments and tasks that echo real-world demands, easily bolstering ecological validity. Previous work has made a compelling case for how VR enhances the ecological validity of fMRI memory research.

VR experiences engage recollection-based memory retrieval akin to real events, unlike lab stimuli which rely more on familiarity. Indeed, VR experiences appear to be retrieved via recollection-based processes similar to those that support autobiographical/recollection memory, whereas retrieval of conventional screen experiences seems more similar to familiarity. This makes VR apt for integrated cognition and memory research.

VR Permits for Information to be Situation in Space

Most importantly, VR permits realistic navigation around virtual environments (c.f.), affording users with a sense of space (the scaffolding of memory). Both philosophers and psychologists alike postulate that brains have evolved solely to support purposeful and predictable movement. Many posit that the ontogeny of episodic memory relates to the onset of locomotion during infancy that scales with Hippocampal development (which also provides a mechanism for infantile amnesia and age-related episodic memory loss). One source of evidence to support this proposition is in the life cycle of the bluebell tunicate. This filter feeder begins to digest a substantial chunk of its cerebral ganglion once identifying a suitable undersea perch to spend the rest of its existence. This phenomenon suggests that once it has served its purpose as a neural network supporting movement, the cerebral ganglion yields greater utility to the organism as nutrition.

From chemotaxis to cognitive maps, a representation of space is necessary for meaningful movement. A neural instantiation of a map that provides spatial bookmarks of an organism’s experiences, demarcating the locations of nutrition and enemies within an environment, is a fundamental component of brains. Indeed, there is a primacy of spatial content in the neural representation of events. Spatial information is often recalled earliest in the retrieval process, and the degree to which individuals report confidence in their autobiographical memories is predicted by their knowledge of the spatial layout of the setting in which the memory occurred. The Method of Loci (a.k.a. Memory Palace) mnemonic has long been appreciated for its ability to increase memory by imagining to-be-remembered information placed at familiar locations. Past work used a VR implantation of this technique to suggest that the principal component behind mnemonic efficacy is the explicit binding of the objects to a spatial location and revealed a tight relationship between spatial memory (SM) and free recall of encoded objects. These observations showcase that space and memory are inextricably linked at conceptual and neuronal levels – a notion that has become entrenched in popular culture; the phrase “out of space” is often used when indicating a computer’s memory is full.

a fantastical virtual environment that could be used to study the relationship between objects, positions, and memory.

If space is the inescapable wallpaper that serves as the backdrop for all experience, then it follows that as our spatial or environmental context changes, so should the neural activity underlying diverse cognitive processes. Given that VR can easily change environments, it provides an unparalleled landscape with which to study the intersection of space, memory, and cognition.

Additionally, VR enables human analogs of spatial memory research previously limited to animal models, like virtual radial arm mazes. This facilitates powerful translational research from rodents to humans.

Key Features of VR That Facilitate Cognition Research

Below are some features highlighted by the chapter that are exclusive to VR. Such features permit real-world scenarios with increased experimental control and significantly less costs.

  • VR provides absolute control over the environment. This permits isolation and systematic manipulation of spatial contexts, immersion, emotions, embodiment, etc.
  • Rapid teleportation between environments induces robust context-dependent learning, a fundamental principle in memory encoding.
  • Interactivity and locomotion increase embodiment and navigational involvement, enhancing hippocampal memory systems.
  • Implicit metrics like gaze, paths, and object interactions generate objective measures of memory and attention unbiased by subjective reporting.
  • Brain imaging during VR reveals in vivo neural correlates of cognition impossible with real-world navigation.
  • VR spatial mnemonics such as the Method of Loci can provide performance improvements over just imagination by standardizing and controlling the environments.

Applications of VR for Assessing and Enhancing Cognition

Conventional measures of memory typically focus on core content (i.e., the “what”) instead of the true binding that happens in actual episodes (i.e., “what,” where,” and “when”). They also often use verbal materials, which makes the test sensitive to performance in non-memory domains, permitting for compensatory strategies which could erroneously reveal normal “memory.” Subjective reports rarely scale with performance on traditional memory tests, warranting criticism that such measures wrongly estimate memory capacities for everyday situations. For example, patients reporting topographical memory deficits have preserved ability in tabletop tests of spatial or geographical knowledge. Additionally, cognitive complaints in amnesiacs typically show little correlation with verbal memory tests used in clinical settings.

VR tasks, however, have been more reliable in tracking self and caregiver reports of deficits that impact quality of life. The points below highlight other aspects of VR that can increase the ecological validity of both the detection and amelioration of memory deficits.

  • VR scenarios like virtual stores and routes enable sensitive, ecologically valid tools to identify mild cognitive impairment early.
  • VR spatial navigation paradigms can differentiate Alzheimer’s from milder impairment based on hippocampal recruitment patterns.
  • VR enables safe exposure therapy for memory deficits induced by trauma and realistic training for brain injury rehabilitation.
  • Spatial mnemonic techniques adapted to VR boost memory beyond baseline abilities in healthy individuals.
  • VR puzzles engage aging minds, increasing motivation. Long-term regimes may prevent decline. As one study found, “6 months of VR training powerfully increased long-term recall.”
  • VR training could augment real-world cognition and rehabilitate deficits, with proven memory transfer effects.

In conclusion, VR enables an unprecedented ability to understand real-world cognition, precisely diagnose impairments, and develop interventions that enhance memory and cognition. The immersive, interactive nature of VR environments engages our brains’ memory systems far more naturally than traditional lab studies.

The inherently engaging qualities of VR, coupled with its ability to implicitly quantify and enhance memory, make it a powerful tool in populations spanning from pediatrics to the elderly.

Indeed, VR may catalyze discoveries about the very mechanisms underlying human consciousness itself, which intimately relies on episodic memory. By augmenting these processes, VR could profoundly transform our experience and understanding of consciousness. The future of cognition research has never looked more exciting.

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