Exploring electroencephalography with a model inspired by quantum mechanics
Abstract An outstanding issue in cognitive neuroscience concerns how the brain is organized across different conditions. For instance, during the resting-state condition, the brain can be clustered into reliable and reproducible networks (e.g., sensory, default, executive networks). Interestingly, t...
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Nature Portfolio
2021
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oai:doaj.org-article:44a2f875d2d44952a1b9b9544d2f291b2021-12-02T18:07:52ZExploring electroencephalography with a model inspired by quantum mechanics10.1038/s41598-021-97960-72045-2322https://doaj.org/article/44a2f875d2d44952a1b9b9544d2f291b2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97960-7https://doaj.org/toc/2045-2322Abstract An outstanding issue in cognitive neuroscience concerns how the brain is organized across different conditions. For instance, during the resting-state condition, the brain can be clustered into reliable and reproducible networks (e.g., sensory, default, executive networks). Interestingly, the same networks emerge during active conditions in response to various tasks. If similar patterns of neural activity have been found across diverse conditions, and therefore, different underlying processes and experiences of the environment, is the brain organized by a fundamental organizational principle? To test this, we applied mathematical formalisms borrowed from quantum mechanisms to model electroencephalogram (EEG) data. We uncovered a tendency for EEG signals to be localized in anterior regions of the brain during “rest”, and more uniformly distributed while engaged in a task (i.e., watching a movie). Moreover, we found analogous values to the Heisenberg uncertainty principle, suggesting a common underlying architecture of human brain activity in resting and task conditions. This underlying architecture manifests itself in the novel constant KBrain, which is extracted from the brain state with the least uncertainty. We would like to state that we are using the mathematics of quantum mechanics, but not claiming that the brain behaves as a quantum object.Nicholas J. M. PopielColin MetrowGeoffrey LaforgeAdrian M. OwenBobby StojanoskiAndrea SodduNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
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Medicine R Science Q |
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Medicine R Science Q Nicholas J. M. Popiel Colin Metrow Geoffrey Laforge Adrian M. Owen Bobby Stojanoski Andrea Soddu Exploring electroencephalography with a model inspired by quantum mechanics |
| description |
Abstract An outstanding issue in cognitive neuroscience concerns how the brain is organized across different conditions. For instance, during the resting-state condition, the brain can be clustered into reliable and reproducible networks (e.g., sensory, default, executive networks). Interestingly, the same networks emerge during active conditions in response to various tasks. If similar patterns of neural activity have been found across diverse conditions, and therefore, different underlying processes and experiences of the environment, is the brain organized by a fundamental organizational principle? To test this, we applied mathematical formalisms borrowed from quantum mechanisms to model electroencephalogram (EEG) data. We uncovered a tendency for EEG signals to be localized in anterior regions of the brain during “rest”, and more uniformly distributed while engaged in a task (i.e., watching a movie). Moreover, we found analogous values to the Heisenberg uncertainty principle, suggesting a common underlying architecture of human brain activity in resting and task conditions. This underlying architecture manifests itself in the novel constant KBrain, which is extracted from the brain state with the least uncertainty. We would like to state that we are using the mathematics of quantum mechanics, but not claiming that the brain behaves as a quantum object. |
| format |
article |
| author |
Nicholas J. M. Popiel Colin Metrow Geoffrey Laforge Adrian M. Owen Bobby Stojanoski Andrea Soddu |
| author_facet |
Nicholas J. M. Popiel Colin Metrow Geoffrey Laforge Adrian M. Owen Bobby Stojanoski Andrea Soddu |
| author_sort |
Nicholas J. M. Popiel |
| title |
Exploring electroencephalography with a model inspired by quantum mechanics |
| title_short |
Exploring electroencephalography with a model inspired by quantum mechanics |
| title_full |
Exploring electroencephalography with a model inspired by quantum mechanics |
| title_fullStr |
Exploring electroencephalography with a model inspired by quantum mechanics |
| title_full_unstemmed |
Exploring electroencephalography with a model inspired by quantum mechanics |
| title_sort |
exploring electroencephalography with a model inspired by quantum mechanics |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/44a2f875d2d44952a1b9b9544d2f291b |
| work_keys_str_mv |
AT nicholasjmpopiel exploringelectroencephalographywithamodelinspiredbyquantummechanics AT colinmetrow exploringelectroencephalographywithamodelinspiredbyquantummechanics AT geoffreylaforge exploringelectroencephalographywithamodelinspiredbyquantummechanics AT adrianmowen exploringelectroencephalographywithamodelinspiredbyquantummechanics AT bobbystojanoski exploringelectroencephalographywithamodelinspiredbyquantummechanics AT andreasoddu exploringelectroencephalographywithamodelinspiredbyquantummechanics |
| _version_ |
1718378622442536960 |