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An Updated Perspective on the Use of EEG for Diagnosis, Prediction, and Treatment Individualization in Depression
Prof. Giorgio di LorenzoDone
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EEG in clinical practice: The Undiscovered country
Mr. Jurij DreoDone
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Pushing the Boundaries of Human Space Exploration: Implications for Brain and Behavioral Adaptations
Prof. Dr. Alexander StahnDone
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A collaborative R&D approach to monitoring and therapeutic treatment of refractory epilepsy
Katrina Wendel-Mitoraj, PhDDone
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EEG Cloud Clinical Service to proactively objectify diagnoses for Neurodegenerative Pathologies and Disorders Therapy
MSc. Daniel MoreraDone
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Dr. Chuong Ngo studied Electrical Engineering and Information Technology at Ruhr University Bochum in Germany. He obtained his PhD the RWTH Aachen on model-based analysis of respiratory mechanics for diagnosis of cardiopulmonary diseases under the supervision of Prof. Steffen Leonhardt, Prof. Klaus Tenbrock, and Prof. Franz de Jongh. Chuong joins our latest line of research, linking the neuroscience of self-consciousness with meditation practice and technologies such as virtual reality. In the new âSilent Mind Projectâ, we aim to find scientific evidence for the meditative deep states by cooperating with long-term meditators at expert levels. We also aim to develop science-based and technology-based meditation practices forward the Silence of the Mind.
Meditation has long been associated with profound changes in brain structure and function, yet the neural dynamics underlying these effects remain incompletely understood. While previous research has focused on trait-level changes in novice practitionersâoften reporting enhanced alpha and theta activity during cognitive and social tasksâthe role of alpha dynamics during meditation itself has been less clear. A review of 40 studies revealed inconsistent findings during Focused Attention Meditation (FA-M): 16 studies reported increased alpha power, 8 observed decreases, and 16 found no significant changes (Lieberman, 2024).
State-level changes during meditation, particularly in advanced practitioners, hold the potential to shed light on these inconsistencies. However, such research is limited by the challenge of recruiting meditators with extensive experience in comparable practices.
To address this gap, we analyzed EEG data from an advanced yogic Samadhi practitioner, 11 Theravada Jhana experts, and 10 less experienced meditators practicing FA-M. Across all groups, meditation was marked by significant alpha suppression compared to baseline, with the degree of suppression strongly correlating with the level of expertise. Notably, expert practitioners also exhibited increased infraslow, delta, and gamma activity during meditation.
These findings suggest that alpha suppression may be a defining feature of meditative expertise, providing a potential resolution to the inconsistencies reported in the literature. Furthermore, they indicate that changes in alpha and other brain dynamics evolve with meditative practice, offering valuable insights into the neural mechanisms underlying meditationâs transformative effects.