Preprint Article Version 1 This version is not peer-reviewed

Evolution, Childhood Development, and Disease: The Role of Redundant and Degenerate Neural Networks in Cognitive Maximization

Version 1 : Received: 17 July 2024 / Approved: 18 July 2024 / Online: 18 July 2024 (16:54:34 CEST)

How to cite: Montgomery, R. M. Evolution, Childhood Development, and Disease: The Role of Redundant and Degenerate Neural Networks in Cognitive Maximization. Preprints 2024, 2024071514. https://doi.org/10.20944/preprints202407.1514.v1 Montgomery, R. M. Evolution, Childhood Development, and Disease: The Role of Redundant and Degenerate Neural Networks in Cognitive Maximization. Preprints 2024, 2024071514. https://doi.org/10.20944/preprints202407.1514.v1

Abstract

This small article examines the pivotal roles of redundant and degenerate neural networks in the brain across three critical dimensions: evolutionary development, early childhood neural formation, and their implications in neurological diseases. Redundant networks, characterized by parallel neural pathways with similar functions, provide a foundation for cognitive resilience, ensuring continuity of brain functions despite damage or developmental anomalies. Degenerate networks, comprising structurally varied but functionally equivalent pathways, contribute to cognitive flexibility and adaptability, essential for innovative problem-solving and learning. From an evolutionary perspective, these networks have been instrumental in the brain's adaptation to diverse environmental challenges, facilitating cognitive maximization and the development of complex behaviors. The genetic underpinnings and environmental influences that shaped these networks are explored, highlighting their contribution to the evolutionary success of the human species. In the realm of early childhood development, the formation and reinforcement of these networks are crucial. The brain's plasticity during this period leads to the establishment of robust redundant networks and versatile degenerate networks, shaped significantly by environmental stimuli and learning experiences. This developmental phase lays the groundwork for cognitive abilities and resilience to neurological challenges later in life. Furthermore, the paper delves into the implications of these networks in the context of brain diseases. The disruption of the equilibrium between redundancy and degeneracy is linked to various neurological conditions, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, stroke and Huntington's disease. Understanding the roles and balances of these networks offers insights into the pathophysiology of these diseases and potential therapeutic approaches. This review underscores the significance of redundant and degenerate neural networks in the evolutionary context, their critical formation during early childhood, and their profound impact on brain health and disease. It highlights the need for further research into these networks to enhance our understanding of brain function and to develop targeted interventions for neurological disorders.

Keywords

Child Development; Degenerate Neural Networks; Cognitive Maximization

Subject

Biology and Life Sciences, Biophysics

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