New Effect in Physiology of Human Nervous Muscle System

Area of Science:

• Physiology
• Biostatistics
• Individualized Medicine

Background:

• Physiological signals, such as tremorograms, are typically analyzed for individual stability.
• Homeostasis is assumed to be a stable baseline for physiological measurements.
• Current medical comparisons rely on inter-individual variability assumptions.

Purpose of the Study:

• To identify and describe a new statistical phenomenon observed in physiological samples.
• To investigate the implications of this phenomenon for physiological and medical research.
• To question the basis of inter-individual comparisons in the context of individualized medicine.

Main Methods:

• Statistical analysis of tremorogram recordings.
• Comparison of intra-individual variability versus inter-individual variability.
• Assessment of samples from multiple subjects under stable homeostasis.

Main Results:

• A higher degree of statistical stability was observed across different subjects compared to repeated measurements within the same subject.
• Fifteen different subjects demonstrated greater statistical similarity to each other than one subject to themselves across 15 recordings.
• This statistical paradox was observed even when the individual subject maintained unchanged homeostasis.

Conclusions:

• The observed phenomenon challenges fundamental assumptions in physiological and medical data analysis.
• The statistical similarity among different individuals raises significant questions for comparative medicine.
• The transition to individualized medicine requires re-evaluation of comparison methodologies given this paradox.