Early Neurodiagnostics via Vector Consciousness Field: A Theoretical Proposal

We present a novel framework linking a vectorial consciousness field ⃗Ψ to neurodevelopmental disorders in early infancy. By measuring deviations in Basis Alignment Factor (BAF) via EEG and fMRI-derived tensors, we propose a quantum-informed diagnostic for autism and ADHD. Integration of quantum coherence, TMSinduced field alignment, and ethical pediatric neurotechnology is discussed. BAF diagnostics enable intervention 12–18 months earlier than behavioral methods. AcknowledgementsThe author acknowledges the use of OpenAI's ChatGPT and DeepSeek as assistive tools in the development of ideas, refinement of theoretical models, and support in drafting and editing the manuscript. The AI was employed for brainstorming, language polishing, diagram suggestions, and exploring mathematical formulations, with all conceptual direction and final interpretations guided by the author.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.15563764
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Early Neurodiagnostics via Vector Consciousness Field: A Theoretical Proposal

Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
article

Early Neurodiagnostics via Vector Consciousness Field: A Theoretical Proposal

article en

Abstract

We present a novel framework linking a vectorial consciousness field ⃗Ψ to neurodevelopmental disorders in early infancy. By measuring deviations in Basis Alignment Factor (BAF) via EEG and fMRI-derived tensors, we propose a quantum-informed diagnostic for autism and ADHD. Integration of quantum coherence, TMSinduced field alignment, and ethical pediatric neurotechnology is discussed. BAF diagnostics enable intervention 12–18 months earlier than behavioral methods. AcknowledgementsThe author acknowledges the use of OpenAI's ChatGPT and DeepSeek as assistive tools in the development of ideas, refinement of theoretical models, and support in drafting and editing the manuscript. The AI was employed for brainstorming, language polishing, diagram suggestions, and exploring mathematical formulations, with all conceptual direction and final interpretations guided by the author.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Functional Brain Connectivity Studies
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