Complexity-based decoding of the relation between human voice and brain activity
Summary
Brain activity and voice complexity are linked, with both influenced by odour molecular complexity. This study analyzed electroencephalography (EEG) and voice signals together to explore this relationship.
Area of Science:
- Neuroscience
- Acoustics
- Olfactory Science
Background:
- The human voice is central to communication and controlled by the brain.
- A relationship between voice characteristics and brain activity is hypothesized.
- Simultaneous analysis of brain and voice signals can elucidate this connection.
Purpose of the Study:
- To investigate the relationship between brain activity and voice signal complexity.
- To analyze electroencephalography (EEG) and voice signals concurrently.
- To determine if odour molecular complexity influences brain and voice signal complexity.
Main Methods:
- Simultaneous recording of electroencephalography (EEG) and voice signals while participants read text.
- Modulation of brain activity using different odours.
- Application of fractal theory to compute and compare the complexity (fractal dimension) of EEG and voice signals.
Main Results:
- A correlation exists between human voice activity and brain activity.
- Variations in EEG signal complexity are directly linked to variations in voice signal complexity.
- Both EEG and voice signal complexities are demonstrably related to the molecular complexity of applied odours.
Conclusions:
- The study confirms a link between brain activity and voice characteristics.
- The fractal analysis method can be applied to other physiological signals.
- This approach allows for relating the activity of different organs to brain activity.
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