ArticleAnnals of neurosciences2026
Decoding of Human Behaviour and Personality.
Article in Annals of neurosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Human behaviour and personality are a unique psychosomatic constitution of every individual, and they may have diverse applications in the field of medicine. Conventional methods used to conduct behavioral and personality examination in medical research and clinical practice are found to have limitations, which make their validity questionable. Purpose: To date, no study has explored the objective quantification of human behaviour and personality among Indian healthcare professionals. Also, being an important component of evidence-based decision-making in research and clinical domains, this analysis will scan human behaviour non-invasively to study the cognitive neuroscience functions among health care professionals. Methods: The present research was a cross-sectional study; out of forty-five (n = 45), thirty-eight (n = 38) participants completed the study. The participants were attendees of a workshop during a National Conference of Physiology in October, 2025. All the participants completed evidence-based advanced Prakriti Analysis Instrument (PAI) objectively through provided link. Results: The present study showed the balanced prakriti tri-doshas- vata, pitta and kapha among health care professionals, as no single doshas was overwhelming dominant. On further analysis, the physical features were found to be more variant than physiological and psychological features, as prakriti is not a static category; rather, it is characterized by continuous evolution and transformation. On the other hand, the physiological and psychological features were found to be balanced in association with their behavioral pattern signatures among healthcare professionals. Conclusion: PAI could be a valuable non-invasive tool for future behaviour and personality biomarkers which will help to understand and describe individual health status and cognitive attributes.
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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 Socratic graph.