ABSTRACT UPDATE: This work has been superseded and formally corrected by the new paper: 'Dimensional Constraints in the Etiology of Neurosis'. Please refer to the new version for the corrected thermodynamic framework and dimensional analysis. Link:https://www.researchgate.net/publication/400417245_Dimensional_Constraints_in_the_Etiology_of_Neurosis_A_Biophysically_Constrained_Thermodynamic_Model DOI: 10.5281/ZENODO.18477161 This document presents a theoretical extension to the thesis "Etiology of Neurosis", moving beyond symptomatic descriptions toward a hardware-based biological cause. We postulate that human neurosis is not a mere psychological abstraction, but a quantifiable thermodynamic event derived from the SRGAP2C gene duplication (approx. 2.4 mya). While the primary work identified the evolutionary trauma, this deep dive formalizes the mechanism: the genomic event induced a synaptic density that prevents the necessary Neuronal Anticorrelation between the Default Mode Network (DMN) and the Task-Positive Network (TPN). Utilizing Information Thermodynamics and the Kullback-Leibler Divergence, we quantify the resulting cognitive "metastability" (Q_info) as a systemic failure to resolve entropic resistance. Finally, we outline a Translational Human Engineering architecture ('Zero Entropy'). This protocol integrates Immersive VR for Bayesian Prior updates and specific Neuromodulation (rTMS) targets to silence the parasitic loops of the DMN. The success of this re-engineering is measurable through hard biomarkers of "Existential Inflammation," specifically Interleukin-6 and cell-free mitochondrial DNA (ccf-mtDNA). Keywords: SRGAP2C, Neuronal Anticorrelation, Information Thermodynamics, Zero Entropy, DMN Instability, Translational Engineering, Existential Inflammation, Kullback-Leibler Divergence. Contact: hugo.tapia@neurociencia.solutionsPython implementation of the Neurodynamic Rigidity (NR) Index:https://github.com/Dasein193/Neurodynamic-Rigidity-Index