Preprint Hypothesis Version 1 Preserved in Portico This version is not peer-reviewed

Can Linking the Recall System to Addiction Enable a Better Understanding of the Dopaminergic Pathway?

Version 1 : Received: 22 July 2022 / Approved: 25 July 2022 / Online: 25 July 2022 (09:38:50 CEST)

How to cite: Iwuh, D. Can Linking the Recall System to Addiction Enable a Better Understanding of the Dopaminergic Pathway?. Preprints 2022, 2022070369. https://doi.org/10.20944/preprints202207.0369.v1 Iwuh, D. Can Linking the Recall System to Addiction Enable a Better Understanding of the Dopaminergic Pathway?. Preprints 2022, 2022070369. https://doi.org/10.20944/preprints202207.0369.v1

Abstract

Human addiction, as a learned behaviour, has and is constantly being treated psychologically, with specific and timely interventions from Neuroscience. We endorse that human addiction can receive further boost as regards treatment, when we firmly understand how it works from a quantum scale. This is majorly because the dopaminergic pathway (DP) that is well elaborated in the brain of every addict is connected to the memory pathway. This further implies that the recall process in the brain of the addict, as regards his/her addiction is fully functional in line with the pleasure that arises from the element of his/her addiction. This dopamine-led pathway shows itself as prominent in what pertains to addiction, this is because of the role it plays in reward. As a neurotransmitter, dopamine flickers when reward is in the offing. It should be noted that a full understanding of the dimensions of addiction in the human person has not be attained to, therefore, we seek to add to this ongoing research, by considering excerpts arising from Quantum Field Theory. We are introducing excerpts from QFT, because DP, is an attendant element in the process of reward and motivation. In clear terms, we are alluding that it all begins with the memory.

Keywords

Dopaminergic Pathways; Symmetry; Memory; NG Bosons; Addiction

Subject

Social Sciences, Cognitive Science

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