Evidence map›Paper›PMID 42358616›Full record

ArticleFrontiers in behavioral neuroscience2026

Towards a neurophysiological model of kundalini: a theoretical framework informed by preliminary clinical observations.

Swapan Samanta, Nirmal Sultania, Mukul Roychoudhury, Surendra Sharma, Paritosh Mitra

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Article in Frontiers in behavioral neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Swapan SamantaINDORIV Clinical Research Centre, Kolkata, India.
Nirmal SultaniaINDORIV Clinical Research Centre, Kolkata, India.
Mukul RoychoudhuryINDORIV Clinical Research Centre, Kolkata, India.
Surendra SharmaINDORIV Clinical Research Centre, Kolkata, India.
Paritosh MitraINDORIV Clinical Research Centre, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the present paper is not to validate the metaphysical claims of yogic traditions, but to examine whether their phenomenological descriptions correspond to measurable physiological processes. The proposal advanced here is explicitly theoretical: a hypothesis-generating model informed by preliminary retrospective clinical observations, not a claim of established proof. All interpretations of iconographic material are advanced as phenomenological correspondences - possible mappings onto identifiable neurophysiological states - rather than assertions of historical or archaeological fact. Background: Kundalini has been described in yogic literature as a transformative psychophysiological process, with systematic iconographic representations that date back across millennia. Its physiological basis remains undefined within contemporary neuroscience. This article proposes that the phenomenological descriptions embedded in classical Indian iconography may correspond in structure and sequence to identifiable neurophysiological states of autonomic integration. Objective: This article proposes a neurophysiological theoretical framework for interpreting kundalini phenomena, drawing on preliminary, retrospective clinical observations, published neuroscience, and cross-tradition phenomenological analysis. Methods: A retrospective analysis of a 14-year single-practitioner observational dataset comprising 404 consecutive patients treated for autonomic dysregulation, sleep disturbance, and attentional dysfunction using non-invasive, non-pharmacological interventions. No randomisation or control arm was employed. The dataset is presented as exploratory and hypothesis-generating clinical evidence rather than experimental proof. Results: Observed patterns-including improvements in heart rate variability (HRV), cortisol diurnal rhythm restoration, and attentional stability-are associated with a progressive nervous system integration trajectory consistent with the classical bottom-up kundalini model. The neural dispersion index (NDI), proposed in this study as an exploratory heuristic synthesis metric requiring independent validation, is used to track these changes across a seven-domain profile. The natural clinical progression follows a four-stage sequence: fragmentation (NDI > 60) → dormant baseline (NDI 40-60) → progressive integration (NDI 25-40) → threshold coherence (NDI < 25). Conclusion: Preliminary observations support a testable neurophysiological model of kundalini as a process of progressive autonomic and cortical integration. The model generates four specific falsifiable predictions. Formal prospective investigation is required before any clinical conclusions can be drawn.

Indexed as

autonomic integrationconsciousnesscontemplative neurosciencedharanaheart rate variabilitykundaliniliberation phenomenologyneural dispersion index

Identifiers

PMID42358616
PMCPMC13291124

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.