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Quantifying consciousness through intrinsic probability density function
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DOI：10.1016/j.biopsycho.2025.109101.png)
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Abstract
En 中文
• Introduces iPDF to quantify consciousness via EEG. • Uses empirical mode decomposition to generate scale-dependent probability density functions • Distinguishes conscious from unconscious states by iPDF. • Identifies neural interactions or modulations via super-Gaussian vs. Gaussian EEG profiles. • Achieves 81 % accuracy in dementia classification.
Keywords:
Intrinsic Probability Density Function
IPDF
Consciousness
Conscious states
Sleep
Neural interactions
Neural modulations
Intercortical communications
Emperical Mode Decomposition
EMD
Dementia
Cognitive states
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