Rapid Spectral Dynamics in Hippocampal Oscillons
Neurons in the brain are submerged into oscillating extracellular potential produced by synchronized synaptic currents. The dynamics of these oscillations is one of the principal characteristics of neurophysiological activity, broadly studied in basic neuroscience and used in applications. However,...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-06-01
|
| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2022.880742/full |
| _version_ | 1811258228870217728 |
|---|---|
| author | M. S. Zobaer Carli M. Domenico Luca Perotti Daoyun Ji Yuri Dabaghian |
| author_facet | M. S. Zobaer Carli M. Domenico Luca Perotti Daoyun Ji Yuri Dabaghian |
| author_sort | M. S. Zobaer |
| collection | DOAJ |
| description | Neurons in the brain are submerged into oscillating extracellular potential produced by synchronized synaptic currents. The dynamics of these oscillations is one of the principal characteristics of neurophysiological activity, broadly studied in basic neuroscience and used in applications. However, our interpretation of the brain waves' structure and hence our understanding of their functions depend on the mathematical and computational approaches used for data analysis. The oscillatory nature of the wave dynamics favors Fourier methods, which have dominated the field for several decades and currently constitute the only systematic approach to brain rhythms. In the following study, we outline an alternative framework for analyzing waves of local field potentials (LFPs) and discuss a set of new structures that it uncovers: a discrete set of frequency-modulated oscillatory processes—the brain wave oscillons and their transient spectral dynamics. |
| first_indexed | 2024-04-12T18:11:07Z |
| format | Article |
| id | doaj.art-70c66907aeed4482b93fcfafd385fa87 |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-04-12T18:11:07Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-70c66907aeed4482b93fcfafd385fa872022-12-22T03:21:50ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882022-06-011610.3389/fncom.2022.880742880742Rapid Spectral Dynamics in Hippocampal OscillonsM. S. Zobaer0Carli M. Domenico1Luca Perotti2Daoyun Ji3Yuri Dabaghian4Department of Neurology, McGovern Medical Center at Houston, The University of Texas, Houston, TX, United StatesDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, United StatesDepartment of Physics, Texas Southern University, Houston, TX, United StatesDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, United StatesDepartment of Neurology, McGovern Medical Center at Houston, The University of Texas, Houston, TX, United StatesNeurons in the brain are submerged into oscillating extracellular potential produced by synchronized synaptic currents. The dynamics of these oscillations is one of the principal characteristics of neurophysiological activity, broadly studied in basic neuroscience and used in applications. However, our interpretation of the brain waves' structure and hence our understanding of their functions depend on the mathematical and computational approaches used for data analysis. The oscillatory nature of the wave dynamics favors Fourier methods, which have dominated the field for several decades and currently constitute the only systematic approach to brain rhythms. In the following study, we outline an alternative framework for analyzing waves of local field potentials (LFPs) and discuss a set of new structures that it uncovers: a discrete set of frequency-modulated oscillatory processes—the brain wave oscillons and their transient spectral dynamics.https://www.frontiersin.org/articles/10.3389/fncom.2022.880742/fullbrain rhythmsoscillonshippocampusthetaspectral wave |
| spellingShingle | M. S. Zobaer Carli M. Domenico Luca Perotti Daoyun Ji Yuri Dabaghian Rapid Spectral Dynamics in Hippocampal Oscillons Frontiers in Computational Neuroscience brain rhythms oscillons hippocampus theta spectral wave |
| title | Rapid Spectral Dynamics in Hippocampal Oscillons |
| title_full | Rapid Spectral Dynamics in Hippocampal Oscillons |
| title_fullStr | Rapid Spectral Dynamics in Hippocampal Oscillons |
| title_full_unstemmed | Rapid Spectral Dynamics in Hippocampal Oscillons |
| title_short | Rapid Spectral Dynamics in Hippocampal Oscillons |
| title_sort | rapid spectral dynamics in hippocampal oscillons |
| topic | brain rhythms oscillons hippocampus theta spectral wave |
| url | https://www.frontiersin.org/articles/10.3389/fncom.2022.880742/full |
| work_keys_str_mv | AT mszobaer rapidspectraldynamicsinhippocampaloscillons AT carlimdomenico rapidspectraldynamicsinhippocampaloscillons AT lucaperotti rapidspectraldynamicsinhippocampaloscillons AT daoyunji rapidspectraldynamicsinhippocampaloscillons AT yuridabaghian rapidspectraldynamicsinhippocampaloscillons |