Unconsciousness reconfigures modular brain network dynamics
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2020
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| Acceso en línea: | |
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| _version_ | 1866909226262069248 |
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| author | del Pozo, Sofia Morena Laufs, Helmut Bonhomme, Vincent Laureys, Steven Balenzuela, Pablo Tagliazucchi, Enzo |
| author_facet | del Pozo, Sofia Morena Laufs, Helmut Bonhomme, Vincent Laureys, Steven Balenzuela, Pablo Tagliazucchi, Enzo |
| contents | The dynamic core hypothesis posits that consciousness is correlated with simultaneously integrated and differentiated assemblies of transiently synchronized brain regions. We represented time-dependent functional interactions using dynamic brain networks, and assessed the integrityof the dynamic core by means of the flexibility and largest multilayer module of these networks. As a first step, we constrained parameter selection using a newly developed benchmark for module detection in heterogeneous temporal networks. Next, we applied a multilayer modularity maximization algorithm to dynamic brain networks computed from functional magnetic resonance imaging (fMRI) data acquired during deep sleep and under propofol anesthesia. We found that unconsciousness reconfigured network flexibility and reduced the size of the largest spatiotemporal module, which we identified with the dynamic core. Our results present a first characterization of modular brain network dynamics during states of unconsciousness measured with fMRI, adding support to the dynamic core hypothesis of human consciousness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2012_10785 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Unconsciousness reconfigures modular brain network dynamics del Pozo, Sofia Morena Laufs, Helmut Bonhomme, Vincent Laureys, Steven Balenzuela, Pablo Tagliazucchi, Enzo Neurons and Cognition The dynamic core hypothesis posits that consciousness is correlated with simultaneously integrated and differentiated assemblies of transiently synchronized brain regions. We represented time-dependent functional interactions using dynamic brain networks, and assessed the integrityof the dynamic core by means of the flexibility and largest multilayer module of these networks. As a first step, we constrained parameter selection using a newly developed benchmark for module detection in heterogeneous temporal networks. Next, we applied a multilayer modularity maximization algorithm to dynamic brain networks computed from functional magnetic resonance imaging (fMRI) data acquired during deep sleep and under propofol anesthesia. We found that unconsciousness reconfigured network flexibility and reduced the size of the largest spatiotemporal module, which we identified with the dynamic core. Our results present a first characterization of modular brain network dynamics during states of unconsciousness measured with fMRI, adding support to the dynamic core hypothesis of human consciousness. |
| title | Unconsciousness reconfigures modular brain network dynamics |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2012.10785 |