Thermodynamic properties and Hilbert space of the human brain
Dongmei Shi, Meng Li, Martin Walter, and Hamid R. Noori

TL;DR
This paper models the human brain using statistical physics and quantum mechanics, proposing a new framework to analyze brain states, effects of ketamine, and the potential for quantum approaches in neuroscience.
Contribution
It introduces a novel ensemble-theoretic model of brain microstates and macrostates, and explores the quantum mechanical Hilbert space of the brain, opening new research avenues.
Findings
Ketamine reduces the brain's capacity for work.
The model links functional connectivity patterns to thermodynamic properties.
A Hilbert space for brain states is constructed, suggesting quantum mechanics applications.
Abstract
Any macrosystem consists of many microparticles. According to statistical physics, the macroproperties of a system are realized as the statistical average of the corresponding microproperties. In our study, a model based on ensemble theory from statistical physics is proposed. Specifically, the functional connectivity (FC) patterns confirmed by Leading Eigenvector Dynamics Analysis (LEiDA) are taken as the microstates of a system, and static functional connectivity (SFC) is seen as the macrostate. When SFC can be written as the linear combination of these FC patterns, it is realized that these FC patterns are valid microstates for which the statistical results of relevant behaviors can describe the corresponding properties of SFC. In this case, the thermodynamic functions in ensemble theory are expressed in terms of these microstates. We apply the model to study the biological effect of…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Neural dynamics and brain function · Mental Health Research Topics
