Integrated Phenomenology and Brain Connectivity Demonstrate Changes in Nonlinear Processing in Jhana Advanced Meditation.
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| Title: | Integrated Phenomenology and Brain Connectivity Demonstrate Changes in Nonlinear Processing in Jhana Advanced Meditation. |
|---|---|
| Authors: | Potash, Ruby M.1 (AUTHOR), van Mil, Sean D.1,2 (AUTHOR), Estarellas, Mar1,3,4 (AUTHOR), Canales-Johnson, Andres4,5,6 (AUTHOR), Sacchet, Matthew D.1 (AUTHOR) |
| Source: | Journal of Cognitive Neuroscience. Nov2025, Vol. 37 Issue 11, p2260-2283. 24p. |
| Subjects: | Meditation, Attention, Electrophysiology, Human information processing, Functional connectivity, Mindfulness, Phenomenological psychology |
| Abstract: | We present a neurophenomenological case study investigating distinct neural connectivity regimes during an advanced concentrative absorption meditation series called jhana (ACAM-J), characterized by highly stable attention and mental absorption. Using EEG recordings and phenomenological ratings (29 sessions) from a meditator with +20,000 hr of practice, we evaluated connectivity metrics tracking distinct large-scale neural interactions: nonlinear (weighted symbolic mutual information and directed information), capturing non-oscillatory dynamics, and linear (weighted phase lag index) connectivity metrics, capturing oscillatory synchrony. Results demonstrate ACAM-J are better distinguished by non-oscillatory compared with oscillatory dynamics across multiple frequency ranges. Furthermore, combining attention-related phenomenological ratings with weighted symbolic mutual information improves Bayesian decoding of ACAM-J compared with neural metrics alone. Crucially, deeper ACAM-J indicate an equalization of feedback and feedforward processes, suggesting a balance of internally and externally driven information processing. The results from this intensively sampled case study are a promising initial step in revealing the distinct neural dynamics during ACAM-J, offering insights into refined conscious states and highlighting the value of nonlinear neurophenomenological approaches to studying attentional states. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 188583184 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrated Phenomenology and Brain Connectivity Demonstrate Changes in Nonlinear Processing in Jhana Advanced Meditation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Potash%2C+Ruby+M%2E%22">Potash, Ruby M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Mil%2C+Sean+D%2E%22">van Mil, Sean D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Estarellas%2C+Mar%22">Estarellas, Mar</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Canales-Johnson%2C+Andres%22">Canales-Johnson, Andres</searchLink><relatesTo>4,5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sacchet%2C+Matthew+D%2E%22">Sacchet, Matthew D.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Cognitive+Neuroscience%22">Journal of Cognitive Neuroscience</searchLink>. Nov2025, Vol. 37 Issue 11, p2260-2283. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Meditation%22">Meditation</searchLink><br /><searchLink fieldCode="DE" term="%22Attention%22">Attention</searchLink><br /><searchLink fieldCode="DE" term="%22Electrophysiology%22">Electrophysiology</searchLink><br /><searchLink fieldCode="DE" term="%22Human+information+processing%22">Human information processing</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+connectivity%22">Functional connectivity</searchLink><br /><searchLink fieldCode="DE" term="%22Mindfulness%22">Mindfulness</searchLink><br /><searchLink fieldCode="DE" term="%22Phenomenological+psychology%22">Phenomenological psychology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We present a neurophenomenological case study investigating distinct neural connectivity regimes during an advanced concentrative absorption meditation series called jhana (ACAM-J), characterized by highly stable attention and mental absorption. Using EEG recordings and phenomenological ratings (29 sessions) from a meditator with +20,000 hr of practice, we evaluated connectivity metrics tracking distinct large-scale neural interactions: nonlinear (weighted symbolic mutual information and directed information), capturing non-oscillatory dynamics, and linear (weighted phase lag index) connectivity metrics, capturing oscillatory synchrony. Results demonstrate ACAM-J are better distinguished by non-oscillatory compared with oscillatory dynamics across multiple frequency ranges. Furthermore, combining attention-related phenomenological ratings with weighted symbolic mutual information improves Bayesian decoding of ACAM-J compared with neural metrics alone. Crucially, deeper ACAM-J indicate an equalization of feedback and feedforward processes, suggesting a balance of internally and externally driven information processing. The results from this intensively sampled case study are a promising initial step in revealing the distinct neural dynamics during ACAM-J, offering insights into refined conscious states and highlighting the value of nonlinear neurophenomenological approaches to studying attentional states. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1162/JOCN.a.50 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 2260 Subjects: – SubjectFull: Meditation Type: general – SubjectFull: Attention Type: general – SubjectFull: Electrophysiology Type: general – SubjectFull: Human information processing Type: general – SubjectFull: Functional connectivity Type: general – SubjectFull: Mindfulness Type: general – SubjectFull: Phenomenological psychology Type: general Titles: – TitleFull: Integrated Phenomenology and Brain Connectivity Demonstrate Changes in Nonlinear Processing in Jhana Advanced Meditation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Potash, Ruby M. – PersonEntity: Name: NameFull: van Mil, Sean D. – PersonEntity: Name: NameFull: Estarellas, Mar – PersonEntity: Name: NameFull: Canales-Johnson, Andres – PersonEntity: Name: NameFull: Sacchet, Matthew D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0898929X Numbering: – Type: volume Value: 37 – Type: issue Value: 11 Titles: – TitleFull: Journal of Cognitive Neuroscience Type: main |
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