Loss of consciousness is associated with stabilization of cortical activity
- Autores
- Solovey, Guillermo; Alonso, Leandro Martín; Yanagawa, Toru; Fujii, Naotaka; Magnasco, Marcelo Osvaldo; Cecchi, Guillermo Alberto; Proekt, Alex
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- What aspects of neuronal activity distinguish the conscious from the unconscious brain? This has been a subject of intense interest and debate since the early days of neurophysiology. However, as any practicing anesthesiologist can attest, it is currently not possible to reliably distinguish a conscious state from an unconscious one on the basis of brain activity. Here we approach this problem from the perspective of dynamical systems theory. We argue that the brain, as a dynamical system, is self-regulated at the boundary between stable and unstable regimes, allowing it in particular to maintain high susceptibility to stimuli. To test this hypothesis, we performed stability analysis of high-density electrocorticography recordings covering an entire cerebral hemisphere in monkeys during reversible loss of consciousness. We show that, during loss of consciousness, the number of eigenmodes at the edge of instability decreases smoothly, independently of the type of anesthetic and specific features of brain activity. The eigenmodes drift back toward the unstable line during recovery of consciousness. Furthermore, we show that stability is an emergent phenomenon dependent on the correlations among activity in different cortical regions rather than signals taken in isolation. These findings support the conclusion that dynamics at the edge of instability are essential for maintaining consciousness and provide a novel and principled measure that distinguishes between the conscious and the unconscious brain. Significance Statement: What distinguishes brain activity during consciousness from that observed during unconsciousness? Answering this question has proven difficult because neither consciousness nor lack thereof have universal signatures in terms of most specific features of brain activity. For instance, different anesthetics induce different patterns of brain activity. We demonstrate that loss of consciousness is universally and reliably associated with stabilization of cortical dynamics regardless of the specific activity characteristics. To give an analogy, our analysis suggests that loss of consciousness is akin to depressing the damper pedal on the piano, which makes the sounds dissipate quicker regardless of the specific melody being played. This approach may prove useful in detecting consciousness on the basis of brain activity under anesthesia and other settings.
Fil: Solovey, Guillermo. The Rockefeller University; Estados Unidos. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alonso, Leandro Martín. The Rockefeller University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Yanagawa, Toru. RIKEN Brain Science Institute; Japón
Fil: Fujii, Naotaka. RIKEN Brain Science Institute; Japón
Fil: Magnasco, Marcelo Osvaldo. The Rockefeller University; Estados Unidos
Fil: Cecchi, Guillermo Alberto. IBM Research. Thomas J. Watson Research Center; Estados Unidos
Fil: Proekt, Alex. The Rockefeller University; Estados Unidos. Weill Medical Center; Estados Unidos - Materia
-
ANESTHESIA
CONSCIOUSNESS
DYNAMICAL CRITICALITY
DYNAMICAL SYSTEMS
ECOG
STABILITY ANALYSIS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/59582
Ver los metadatos del registro completo
id |
CONICETDig_14a799d45f15a77ab39833b7219dc471 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/59582 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Loss of consciousness is associated with stabilization of cortical activitySolovey, GuillermoAlonso, Leandro MartínYanagawa, ToruFujii, NaotakaMagnasco, Marcelo OsvaldoCecchi, Guillermo AlbertoProekt, AlexANESTHESIACONSCIOUSNESSDYNAMICAL CRITICALITYDYNAMICAL SYSTEMSECOGSTABILITY ANALYSIShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1What aspects of neuronal activity distinguish the conscious from the unconscious brain? This has been a subject of intense interest and debate since the early days of neurophysiology. However, as any practicing anesthesiologist can attest, it is currently not possible to reliably distinguish a conscious state from an unconscious one on the basis of brain activity. Here we approach this problem from the perspective of dynamical systems theory. We argue that the brain, as a dynamical system, is self-regulated at the boundary between stable and unstable regimes, allowing it in particular to maintain high susceptibility to stimuli. To test this hypothesis, we performed stability analysis of high-density electrocorticography recordings covering an entire cerebral hemisphere in monkeys during reversible loss of consciousness. We show that, during loss of consciousness, the number of eigenmodes at the edge of instability decreases smoothly, independently of the type of anesthetic and specific features of brain activity. The eigenmodes drift back toward the unstable line during recovery of consciousness. Furthermore, we show that stability is an emergent phenomenon dependent on the correlations among activity in different cortical regions rather than signals taken in isolation. These findings support the conclusion that dynamics at the edge of instability are essential for maintaining consciousness and provide a novel and principled measure that distinguishes between the conscious and the unconscious brain. Significance Statement: What distinguishes brain activity during consciousness from that observed during unconsciousness? Answering this question has proven difficult because neither consciousness nor lack thereof have universal signatures in terms of most specific features of brain activity. For instance, different anesthetics induce different patterns of brain activity. We demonstrate that loss of consciousness is universally and reliably associated with stabilization of cortical dynamics regardless of the specific activity characteristics. To give an analogy, our analysis suggests that loss of consciousness is akin to depressing the damper pedal on the piano, which makes the sounds dissipate quicker regardless of the specific melody being played. This approach may prove useful in detecting consciousness on the basis of brain activity under anesthesia and other settings.Fil: Solovey, Guillermo. The Rockefeller University; Estados Unidos. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Alonso, Leandro Martín. The Rockefeller University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Yanagawa, Toru. RIKEN Brain Science Institute; JapónFil: Fujii, Naotaka. RIKEN Brain Science Institute; JapónFil: Magnasco, Marcelo Osvaldo. The Rockefeller University; Estados UnidosFil: Cecchi, Guillermo Alberto. IBM Research. Thomas J. Watson Research Center; Estados UnidosFil: Proekt, Alex. The Rockefeller University; Estados Unidos. Weill Medical Center; Estados UnidosSociety for Neuroscience2015-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/59582Solovey, Guillermo; Alonso, Leandro Martín; Yanagawa, Toru; Fujii, Naotaka; Magnasco, Marcelo Osvaldo; et al.; Loss of consciousness is associated with stabilization of cortical activity; Society for Neuroscience; Journal of Neuroscience; 35; 30; 7-2015; 10866-108770270-6474CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1523/JNEUROSCI.4895-14.2015info:eu-repo/semantics/altIdentifier/url/http://www.jneurosci.org/content/35/30/10866info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:21:06Zoai:ri.conicet.gov.ar:11336/59582instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 11:21:07.14CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Loss of consciousness is associated with stabilization of cortical activity |
title |
Loss of consciousness is associated with stabilization of cortical activity |
spellingShingle |
Loss of consciousness is associated with stabilization of cortical activity Solovey, Guillermo ANESTHESIA CONSCIOUSNESS DYNAMICAL CRITICALITY DYNAMICAL SYSTEMS ECOG STABILITY ANALYSIS |
title_short |
Loss of consciousness is associated with stabilization of cortical activity |
title_full |
Loss of consciousness is associated with stabilization of cortical activity |
title_fullStr |
Loss of consciousness is associated with stabilization of cortical activity |
title_full_unstemmed |
Loss of consciousness is associated with stabilization of cortical activity |
title_sort |
Loss of consciousness is associated with stabilization of cortical activity |
dc.creator.none.fl_str_mv |
Solovey, Guillermo Alonso, Leandro Martín Yanagawa, Toru Fujii, Naotaka Magnasco, Marcelo Osvaldo Cecchi, Guillermo Alberto Proekt, Alex |
author |
Solovey, Guillermo |
author_facet |
Solovey, Guillermo Alonso, Leandro Martín Yanagawa, Toru Fujii, Naotaka Magnasco, Marcelo Osvaldo Cecchi, Guillermo Alberto Proekt, Alex |
author_role |
author |
author2 |
Alonso, Leandro Martín Yanagawa, Toru Fujii, Naotaka Magnasco, Marcelo Osvaldo Cecchi, Guillermo Alberto Proekt, Alex |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
ANESTHESIA CONSCIOUSNESS DYNAMICAL CRITICALITY DYNAMICAL SYSTEMS ECOG STABILITY ANALYSIS |
topic |
ANESTHESIA CONSCIOUSNESS DYNAMICAL CRITICALITY DYNAMICAL SYSTEMS ECOG STABILITY ANALYSIS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
What aspects of neuronal activity distinguish the conscious from the unconscious brain? This has been a subject of intense interest and debate since the early days of neurophysiology. However, as any practicing anesthesiologist can attest, it is currently not possible to reliably distinguish a conscious state from an unconscious one on the basis of brain activity. Here we approach this problem from the perspective of dynamical systems theory. We argue that the brain, as a dynamical system, is self-regulated at the boundary between stable and unstable regimes, allowing it in particular to maintain high susceptibility to stimuli. To test this hypothesis, we performed stability analysis of high-density electrocorticography recordings covering an entire cerebral hemisphere in monkeys during reversible loss of consciousness. We show that, during loss of consciousness, the number of eigenmodes at the edge of instability decreases smoothly, independently of the type of anesthetic and specific features of brain activity. The eigenmodes drift back toward the unstable line during recovery of consciousness. Furthermore, we show that stability is an emergent phenomenon dependent on the correlations among activity in different cortical regions rather than signals taken in isolation. These findings support the conclusion that dynamics at the edge of instability are essential for maintaining consciousness and provide a novel and principled measure that distinguishes between the conscious and the unconscious brain. Significance Statement: What distinguishes brain activity during consciousness from that observed during unconsciousness? Answering this question has proven difficult because neither consciousness nor lack thereof have universal signatures in terms of most specific features of brain activity. For instance, different anesthetics induce different patterns of brain activity. We demonstrate that loss of consciousness is universally and reliably associated with stabilization of cortical dynamics regardless of the specific activity characteristics. To give an analogy, our analysis suggests that loss of consciousness is akin to depressing the damper pedal on the piano, which makes the sounds dissipate quicker regardless of the specific melody being played. This approach may prove useful in detecting consciousness on the basis of brain activity under anesthesia and other settings. Fil: Solovey, Guillermo. The Rockefeller University; Estados Unidos. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Alonso, Leandro Martín. The Rockefeller University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Yanagawa, Toru. RIKEN Brain Science Institute; Japón Fil: Fujii, Naotaka. RIKEN Brain Science Institute; Japón Fil: Magnasco, Marcelo Osvaldo. The Rockefeller University; Estados Unidos Fil: Cecchi, Guillermo Alberto. IBM Research. Thomas J. Watson Research Center; Estados Unidos Fil: Proekt, Alex. The Rockefeller University; Estados Unidos. Weill Medical Center; Estados Unidos |
description |
What aspects of neuronal activity distinguish the conscious from the unconscious brain? This has been a subject of intense interest and debate since the early days of neurophysiology. However, as any practicing anesthesiologist can attest, it is currently not possible to reliably distinguish a conscious state from an unconscious one on the basis of brain activity. Here we approach this problem from the perspective of dynamical systems theory. We argue that the brain, as a dynamical system, is self-regulated at the boundary between stable and unstable regimes, allowing it in particular to maintain high susceptibility to stimuli. To test this hypothesis, we performed stability analysis of high-density electrocorticography recordings covering an entire cerebral hemisphere in monkeys during reversible loss of consciousness. We show that, during loss of consciousness, the number of eigenmodes at the edge of instability decreases smoothly, independently of the type of anesthetic and specific features of brain activity. The eigenmodes drift back toward the unstable line during recovery of consciousness. Furthermore, we show that stability is an emergent phenomenon dependent on the correlations among activity in different cortical regions rather than signals taken in isolation. These findings support the conclusion that dynamics at the edge of instability are essential for maintaining consciousness and provide a novel and principled measure that distinguishes between the conscious and the unconscious brain. Significance Statement: What distinguishes brain activity during consciousness from that observed during unconsciousness? Answering this question has proven difficult because neither consciousness nor lack thereof have universal signatures in terms of most specific features of brain activity. For instance, different anesthetics induce different patterns of brain activity. We demonstrate that loss of consciousness is universally and reliably associated with stabilization of cortical dynamics regardless of the specific activity characteristics. To give an analogy, our analysis suggests that loss of consciousness is akin to depressing the damper pedal on the piano, which makes the sounds dissipate quicker regardless of the specific melody being played. This approach may prove useful in detecting consciousness on the basis of brain activity under anesthesia and other settings. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/59582 Solovey, Guillermo; Alonso, Leandro Martín; Yanagawa, Toru; Fujii, Naotaka; Magnasco, Marcelo Osvaldo; et al.; Loss of consciousness is associated with stabilization of cortical activity; Society for Neuroscience; Journal of Neuroscience; 35; 30; 7-2015; 10866-10877 0270-6474 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/59582 |
identifier_str_mv |
Solovey, Guillermo; Alonso, Leandro Martín; Yanagawa, Toru; Fujii, Naotaka; Magnasco, Marcelo Osvaldo; et al.; Loss of consciousness is associated with stabilization of cortical activity; Society for Neuroscience; Journal of Neuroscience; 35; 30; 7-2015; 10866-10877 0270-6474 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1523/JNEUROSCI.4895-14.2015 info:eu-repo/semantics/altIdentifier/url/http://www.jneurosci.org/content/35/30/10866 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Society for Neuroscience |
publisher.none.fl_str_mv |
Society for Neuroscience |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1843606556661252096 |
score |
13.001348 |