Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions
    (BioMed Central Ltd, Springer Nature, 2023-09-09) Liyanagedera ND; Hussain AA; Singh A; Lal S; Kempton H; Guesgen HW
    While a very few studies have been conducted on classifying loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data for a single session, there are no such studies conducted for multiple session EEG data. Thus, this study aims at classifying existing raw EEG meditation data on single and multiple sessions to come up with meaningful inferences which will be highly beneficial when developing algorithms that can support medita- tion practices. In this analysis, data have been collected on Pre-Resting (before-meditation), Post-Resting (after- meditation), LKM-Self and LKM-Others for 32 participants and hence allowing us to conduct six pairwise comparisons for the four mind tasks. Common Spatial Patterns (CSP) is a feature extraction method widely used in motor imaginary brain computer interface (BCI), but not in meditation EEG data. Therefore, using CSP in extracting features from medi- tation EEG data and classifying meditation/non-meditation instances, particularly for multiple sessions will create a new path in future meditation EEG research. The classification was done using Linear Discriminant Analysis (LDA) where both meditation techniques (LKM-Self and LKM-Others) were compared with Pre-Resting and Post-Resting instances. The results show that for a single session of 32 participants, around 99.5% accuracy was obtained for clas- sifying meditation/Pre-Resting instances. For the 15 participants when using five sessions of EEG data, around 83.6% accuracy was obtained for classifying meditation/Pre-Resting instances. The results demonstrate the ability to classify meditation/Pre-Resting data. Most importantly, this classification is possible for multiple session data as well. In addi- tion to this, when comparing the classification accuracies of the six mind task pairs; LKM-Self, LKM-Others and Post- Resting produced relatively lower accuracies among them than the accuracies obtained for classifying Pre-Resting with the other three. This indicates that Pre-Resting has some features giving a better classification indicating that it is different from the other three mind tasks.
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    A Framework for the Empirical Investigation of Mindfulness Meditative Development
    (Springer Science+Business Media, LLC, 2023-05) Galante J; Grabovac A; Wright M; Ingram DM; Van Dam NT; Sanguinetti JL; Sparby T; van Lutterveld R; Sacchet MD
    Millions of people globally have learned mindfulness meditation with the goal of improving health and well-being outcomes in both clinical and non-clinical contexts. An estimated half of these practitioners follow mindfulness teachers’ recommendations to continue regular meditation after completion of initial instruction, but it is unclear whether benefits are strengthened by regular practice and whether harm can occur. Increasing evidence shows a wide range of experiences that can arise with regular mindfulness meditation, from profoundly positive to challenging and potentially harmful. Initial research suggests that complex interactions and temporal sequences may explain these experiential phenomena and their relations to health and well-being. We believe further study of the effects of mindfulness meditation is urgently needed to better understand the benefits and challenges of continued practice after initial instructions. Effects may vary systematically over time due to factors such as initial dosage, accumulation of ongoing practice, developing skill of the meditator, and complex interactions with the subjects’ past experiences and present environment. We propose that framing mindfulness meditation experiences and any associated health and well-being benefits within integrated longitudinal models may be more illuminating than treating them as discrete, unrelated events. We call for ontologically agnostic, collaborative, and interdisciplinary research to study the effects of continued mindfulness meditation and their contexts, advancing the view that practical information found within religious and spiritual contemplative traditions can serve to develop initial theories and scientifically falsifiable hypotheses. Such investigation could inform safer and more effective applications of mindfulness meditation training for improving health and well-being.
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    Altered States of Consciousness are Prevalent and Insufficiently Supported Clinically: A Population Survey
    (Springer Science+Business Media, LLC, 2024-05-17) Wright MJ; Galante J; Corneille JS; Grabovac A; Ingram DM; Sacchet MD
    Objectives: Adoption of potentially consciousness-altering practices may be leading to a rise in emergent phenomena (EP): sudden unusual mental or somatic experiences often interpreted as spiritual, mystical, energetic, or magical in nature. It is unclear how frequently these altered states of consciousness occur and what the clinical implications may be. Anecdotal accounts and prior literature suggest that EP may be common, under-reported, and followed by either positive or negative changes to well-being. We sought to supplement prior evidence on the prevalence and effects of EP among general populations with large-scale quantitative measurements. Method: We measured the prevalence of EP, while not on mind-altering substances, through completion of online surveys by representative samples from three international communities (n = 3135). The communities sampled were UK Qualtrics online panelists, US-based MTurk workers, and the readers of a popular rationalist blog. Samples were broadly representative of underlying populations. Results: Forty-five percent of participants reported experiencing non-pharmacologically induced EP at least once in their lives, including derealization (17%), unitive experiences (15%), ecstatic thrills (15%), vivid perceptions (11%), changes in perceived size (10%), bodily heat or electricity (9%), out-of-body experiences (8%), and perception of non-physical lights (5%). Respondents reported a mix of positive and negative well-being outcomes following EP, with 13% claiming moderate or greater suffering and 1.1% claiming life-threatening suffering. Of those who experienced suffering, 63% did not seek help. Conclusions: EP are widespread among the studied populations with potential for both positive and negative outcomes, the latter of which do not appear to be adequately addressed through recourse to clinical practice.