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Entropy02:39

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
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Related Experiment Video

Updated: Feb 14, 2026

Monitoring Acupuncture Effects on Human Brain by fMRI
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Brain entropy and human intelligence: A resting-state fMRI study.

Glenn N Saxe1, Daniel Calderone1, Leah J Morales1

  • 1Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, New York, United States of America.

Plos One
|February 13, 2018
PubMed
Summary
This summary is machine-generated.

Higher brain entropy, reflecting neural variability, is linked to greater human intelligence. This study found a positive association between brain entropy and cognitive abilities, particularly in key brain regions.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Human intelligence involves understanding and reasoning about a complex, variable environment.
  • Brain entropy, defined as the number of accessible neural states, quantifies neural variability.
  • Neural variability may be crucial for processing environmental complexity and predicting events.

Purpose of the Study:

  • To investigate the relationship between human intelligence and brain entropy.
  • To determine if neural variability, measured via neuroimaging, correlates with intellectual ability.
  • To test the hypothesis that intelligence is positively associated with brain entropy.

Main Methods:

  • Utilized resting-state functional magnetic resonance imaging (fMRI) in 892 healthy adults.
  • Assessed intelligence using the Shipley Vocabulary and WASI Matrix Reasoning tests.
  • Calculated brain entropy as a measure of neural state diversity.

Main Results:

  • A significant positive association was observed between brain entropy and intelligence.
  • This relationship was most pronounced in the prefrontal cortex, inferior temporal lobes, and cerebellum.
  • Brain entropy derived from resting-state fMRI signals carries information about intellectual capacity.

Conclusions:

  • High brain entropy is associated with high intelligence, suggesting a crucial role for neural variability in cognitive function.
  • Access to diverse neural states predicts complex behavioral performance, including intellectual ability.
  • Future research can explore links between brain entropy, intelligence subtypes, and adaptive behavior.