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Self and the Brain. The Immune Metaphor
Silvia Sánchez-Ramón1,2, Florence Faure3
1Department of Clinical Immunology, IML and IdISSC, Hospital Clínico San Carlos, Madrid, Spain.
This study proposes a brain self theory using evolutionary biology, comparing neuronal selection to immune self-recognition. This model explains how the brain distinguishes self from non-self to prevent harmful responses and offers insights into schizophrenia.
Area of Science:
- Neuroscience
- Evolutionary Biology
- Immunology
- Quantum Physics
Background:
- The relationship between brain activity and conscious experience is a fundamental neuroscience question.
- Self-consciousness is typically viewed as an emergent property of brain networks.
- A quantum physics theory suggests consciousness momentum at the single neuron level.
Purpose of the Study:
- To present a brain self theory from an evolutionary biological perspective.
- To propose an analogy between the immune self and the brain's self-recognition mechanisms.
- To explore the implications of this theory for understanding autophrenic diseases, specifically schizophrenia.
Main Methods:
- An evolutionary biological analogy comparing the immune self (T lymphocytes) to the brain's neuronal selection process.
- Hypothesizing perinatal reactivity to self inputs guiding neocortical neuron selection within the subplate.
- Reviewing experimental and clinical evidence supporting the proposed brain self model.
Main Results:
- The proposed model suggests that self-driven neuronal selection enables the brain to effectively discriminate external inputs.
- This process is crucial for avoiding harmful 'autoreactive' responses, akin to autoimmune diseases.
- Evidence supporting this self tenet is provided, laying the groundwork for understanding disorders of the self.
Conclusions:
- The study outlines the postulates of 'autophrenic diseases' based on the proposed brain self theory.
- Schizophrenia is presented as a prototypical disease characterized by a rupture of the self.
- The model's implications and potential avenues for experimental verification are discussed.
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