CLINICAL NEUROSCIENCE: LIMITATION OF INTELLIGENCE BY MALADAPTIVE MECHANISMS

Introduction: The COVID-19 epidemic has highlighted another silent epidemic of mental disorders (MD) that present common symptoms and are involved with addictions and mood disorders, such as depression, anxiety, social stress, and behavioral deviations. In addition to the chronic problem with mental health, it is possible that intellectual stagnation also occurs, according to the neuroscientist specialized in human intelligence and neurogenomics. Objective: The present study aimed to fill a gap by presenting a clinical organization based on the neurobiology of intelligence and pointing out a set of maladaptive mechanisms that limit human intelligence. Methods: After reviewing the literature, we outline the theoretical implications and mechanisms of social predictive perception that limit human intelligence, with clinical and factual insights, indicating its social and mental health consequences. We used the 5-phase perception model, with a generative view of perception and second-person neuroscience, in a "Bayesian" computational method, which was guided by theoretical method and robust clinical empiricism, to explain the errors of perception that limit intelligence. Results: We outline theoretical implications related to empirical science and found that limitation intelligence by maladaptive mechanismsmay be limited since childhood Discussion: We carry out a discussion that expands the concept of limitation of intelligence with the functional and executive mechanisms of intelligence. Conclusion:We notify into this concept an improvement in depth attention and correction of systems distorted in childhood through EAI, PTSD, mainly in the issue of evaluating real values, and not learned or conditioned one.

Publication Details

Journal
Journal of Bio Innovation
Published
2025-05-01
DOI
https://doi.org/10.46344/jbino.2025.v14i03(a).05
Primary Topic
Technology and Human Factors in Education and Health
Type
article
Field-Weighted Citation Impact
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article

CLINICAL NEUROSCIENCE: LIMITATION OF INTELLIGENCE BY MALADAPTIVE MECHANISMS

Journal of Bio Innovation
Technology and Human Factors in Education and Health
article

CLINICAL NEUROSCIENCE: LIMITATION OF INTELLIGENCE BY MALADAPTIVE MECHANISMS

article en

Abstract

Introduction: The COVID-19 epidemic has highlighted another silent epidemic of mental disorders (MD) that present common symptoms and are involved with addictions and mood disorders, such as depression, anxiety, social stress, and behavioral deviations. In addition to the chronic problem with mental health, it is possible that intellectual stagnation also occurs, according to the neuroscientist specialized in human intelligence and neurogenomics. Objective: The present study aimed to fill a gap by presenting a clinical organization based on the neurobiology of intelligence and pointing out a set of maladaptive mechanisms that limit human intelligence. Methods: After reviewing the literature, we outline the theoretical implications and mechanisms of social predictive perception that limit human intelligence, with clinical and factual insights, indicating its social and mental health consequences. We used the 5-phase perception model, with a generative view of perception and second-person neuroscience, in a "Bayesian" computational method, which was guided by theoretical method and robust clinical empiricism, to explain the errors of perception that limit intelligence. Results: We outline theoretical implications related to empirical science and found that limitation intelligence by maladaptive mechanismsmay be limited since childhood Discussion: We carry out a discussion that expands the concept of limitation of intelligence with the functional and executive mechanisms of intelligence. Conclusion:We notify into this concept an improvement in depth attention and correction of systems distorted in childhood through EAI, PTSD, mainly in the issue of evaluating real values, and not learned or conditioned one.

Journal of Bio Innovation
Openalex Percentile: Top 87%
Technology and Human Factors in Education and Health
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