Biological Reset

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Authors: Deepak Kant Gir
Cited by: 0

Abstract

Project Description: Biological Reset Through Non-Interference Core Thesis: This project presents a novel neurobiological framework that identifies chronic autonomic dysregulation (such as primary insomnia and anxiety) not as a failure of biological systems, but as a state of sustained interference from higher-order cognitive networks. The Mechanism of the "Glitch": Current clinical models often emphasize "management" or "intervention," which paradoxically reinforces the executive interference that causes the dysfunction. This paper maps the hierarchical conflict between three primary neural layers: The Protoself (The Design): The ancient, autonomous homeostatic system (brainstem, hypothalamus, insula) evolved to maintain integrity without conscious oversight. The Narrative Self (The Thief): Mediated by the Default Mode Network (DMN), this layer creates an "identity" around dysfunction (e.g., "I am an insomniac"). The Executive Self (The Manager): Mediated by the Frontoparietal Control Network (FPC), this layer attempts to "fix" the system, maintaining high-arousal states that prevent the Protoself from initiating natural sleep or rest cycles. The Reset Protocol: The framework posits that Cessation, rather than intervention, is the primary requirement for biological recalibration. By removing the "Managed Jitter" of the DMN and FPC, the Protoself undergoes Extinction Learning. This is a biological "Reset" where the autonomic nervous system realizes that the absence of monitoring is not a threat, allowing a return to the Universal Order of pilotless self-regulation. Key Contributions: A Mechanistic Map of network de-coupling required for homeostatic recovery. Differential Timelines for system-level reorganization (from rapid cognitive shifts to slow autonomic recalibration). The Inversion of Treatment: Moving from "what to do" to the recognition of "what to stop doing."

Fields of Study & Subjects

Sleep and related disorders Psychosomatic Disorders and Their Treatments Heart Rate Variability and Autonomic Control

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint