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Published on: June 29, 2018
A repetitive modular oscillation underlies human brain electric activity.
Arturo Tozzi1, James F Peters2, Norbert Jaušovec3
1Computational Intelligence Laboratory, University of Manitoba, Winnipeg R3T 5V6 Manitoba, Canada; Center for Nonlinear Science, Department of Physics, University of North Texas, Denton, Texas 76203, USA, 1155 Union Circle, #311427, Denton, TX 76203-5017, USA.
The real part of the modular function j, a mathematical concept, appears in human brain electric activity (EEGs). This finding suggests a potential link between abstract mathematics and fundamental brain oscillations.
Area of Science:
- Neuroscience
- Mathematics
- Physics
Background:
- The modular function j, a complex mathematical entity, has potential physical implications.
- Recent research suggests the j-function may have a quantifiable real component and an undetectable imaginary component.
Purpose of the Study:
- To investigate if the real part of the modular function j is detectable in human electroencephalography (EEG) signals.
- To explore the potential correlation between mathematical functions and brain activity.
Main Methods:
- Assessed electroencephalography (EEG) data from five healthy males in a resting, eyes-closed state.
- Superimposed bidimensional curves predicted by the j-function onto the recorded EEG traces.
- Analyzed the degree of match between the j-function's real part and EEG signals across different rhythms and electrode locations.
Main Results:
- A significant match (over 85%) was found between the real part of the j-function's trajectory and human EEG signals.
- This correlation was consistent across various electric rhythms and electrode placements.
- The real part of the j-function's wave pattern is ubiquitously present in normal EEG recordings.
Conclusions:
- The real part of the modular function j is a ubiquitous feature of normal human EEG.
- This finding suggests the j-function may represent a fundamental oscillation of the brain.
- The unexplored imaginary part of the j-function could offer insights into various neurological features and conditions.
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