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Brain Entropy During Aging Through a Free Energy Principle Approach
Filippo Cieri1, Xiaowei Zhuang1, Jessica Z K Caldwell1
1Department of Neurology, Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States.
Frontiers in Human Neuroscience
|April 8, 2021
Summary
Neural complexity, measured as brain entropy (BEN), decreases in altered consciousness and aging. This study extends the entropic brain hypothesis to neuroaging, revealing reduced BEN in aging states.
Area of Science:
- Neuroscience
- Complexity Science
- Cognitive Science
Background:
- Neural complexity and brain entropy (BEN) are increasingly studied for insights into information processing.
- The entropic brain hypothesis posits that BEN decreases in states of reduced consciousness, like psychedelic experiences.
- Understanding brain entropy dynamics is crucial for exploring consciousness and cognitive function.
Purpose of the Study:
- To extend the entropic brain hypothesis to physiological and pathological aging.
- To review studies on BEN in consciousness states and neuroaging, particularly using resting-state fMRI.
- To analyze the brain's dynamic balance between order and chaos in neural signals and functional connectivity.
Main Methods:
- Conceptual review of entropy and neural complexity, framed by the free energy principle.
- Analysis of existing studies on BEN in psychedelic states, psychotic disorders, and aging.
- Focus on resting-state functional Magnetic Resonance Imaging (fMRI) data for neuroaging research.
Main Results:
- BEN decreases in states of reduced consciousness and in both physiological and pathological aging.
- Studies show increased entropy in acute psychedelic and chronic psychotic states (e.g., schizophrenia).
- A general trend of reduced BEN is observed in cognitive aging.
Conclusions:
- The entropic brain hypothesis can be extended to explain changes in brain entropy during aging.
- Brain entropy dynamics reflect a balance between order and chaos, crucial for cognitive function.
- Reduced BEN is a potential biomarker for cognitive aging and altered states of consciousness.
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