Critical-like Brain Dynamics in a Continuum from Second- to First-Order Phase Transition
The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback regulation of neuronal activity could, however, lead to a discontinuous first-order transition and thereby bistable activity. Observations of bist...
Saved in:
Published in | The Journal of neuroscience Vol. 43; no. 45; pp. 7642 - 7656 |
---|---|
Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Society for Neuroscience
08.11.2023
|
Subjects | |
Online Access | Get full text |
ISSN | 0270-6474 1529-2401 1529-2401 |
DOI | 10.1523/JNEUROSCI.1889-22.2023 |
Cover
Loading…
Abstract | The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback regulation of neuronal activity could, however, lead to a discontinuous first-order transition and thereby bistable activity. Observations of bistability in awake brain activity have nonetheless remained scarce and its functional significance unclear. Moreover, there is no empirical evidence to support the hypothesis that the human brain could flexibly operate near either a first- or second-order phase transition despite such a continuum being common in models. Here, using computational modeling, we found bistable synchronization dynamics to emerge through elevated positive feedback and occur exclusively in a regimen of critical-like dynamics. We then assessed bistability
in vivo
with resting-state MEG in healthy adults (7 females, 11 males) and stereo-electroencephalography in epilepsy patients (28 females, 36 males). This analysis revealed that a large fraction of the neocortices exhibited varying degrees of bistability in neuronal oscillations from 3 to 200 Hz. In line with our modeling results, the neuronal bistability was positively correlated with classic assessment of brain criticality across narrow-band frequencies. Excessive bistability was predictive of epileptic pathophysiology in the patients, whereas moderate bistability was positively correlated with task performance in the healthy subjects. These empirical findings thus reveal the human brain as a one-of-a-kind complex system that exhibits critical-like dynamics in a continuum between continuous and discontinuous phase transitions.
SIGNIFICANCE STATEMENT
In the model, while synchrony per se was controlled by connectivity, increasing positive local feedback led to gradually emerging bistable synchrony with scale-free dynamics, suggesting a continuum between second- and first-order phase transitions in synchrony dynamics inside a critical-like regimen. In resting-state MEG and SEEG, bistability of ongoing neuronal oscillations was pervasive across brain areas and frequency bands and was observed only with concurring critical-like dynamics as the modeling predicted. As evidence for functional relevance, moderate bistability was positively correlated with executive functioning in the healthy subjects, and excessive bistability was associated with epileptic pathophysiology. These findings show that critical-like neuronal dynamics
in vivo
involves both continuous and discontinuous phase transitions in a frequency-, neuroanatomy-, and state-dependent manner. |
---|---|
AbstractList | The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback regulation of neuronal activity could, however, lead to a discontinuous first-order transition and thereby bistable activity. Observations of bistability in awake brain activity have nonetheless remained scarce and its functional significance unclear. Moreover, there is no empirical evidence to support the hypothesis that the human brain could flexibly operate near either a first- or second-order phase transition despite such a continuum being common in models. Here, using computational modeling, we found bistable synchronization dynamics to emerge through elevated positive feedback and occur exclusively in a regimen of critical-like dynamics. We then assessed bistability in vivo with resting-state MEG in healthy adults (7 females, 11 males) and stereo-electroencephalography in epilepsy patients (28 females, 36 males). This analysis revealed that a large fraction of the neocortices exhibited varying degrees of bistability in neuronal oscillations from 3 to 200 Hz. In line with our modeling results, the neuronal bistability was positively correlated with classic assessment of brain criticality across narrow-band frequencies. Excessive bistability was predictive of epileptic pathophysiology in the patients, whereas moderate bistability was positively correlated with task performance in the healthy subjects. These empirical findings thus reveal the human brain as a one-of-a-kind complex system that exhibits critical-like dynamics in a continuum between continuous and discontinuous phase transitions.SIGNIFICANCE STATEMENT In the model, while synchrony per se was controlled by connectivity, increasing positive local feedback led to gradually emerging bistable synchrony with scale-free dynamics, suggesting a continuum between second- and first-order phase transitions in synchrony dynamics inside a critical-like regimen. In resting-state MEG and SEEG, bistability of ongoing neuronal oscillations was pervasive across brain areas and frequency bands and was observed only with concurring critical-like dynamics as the modeling predicted. As evidence for functional relevance, moderate bistability was positively correlated with executive functioning in the healthy subjects, and excessive bistability was associated with epileptic pathophysiology. These findings show that critical-like neuronal dynamics in vivo involves both continuous and discontinuous phase transitions in a frequency-, neuroanatomy-, and state-dependent manner.The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback regulation of neuronal activity could, however, lead to a discontinuous first-order transition and thereby bistable activity. Observations of bistability in awake brain activity have nonetheless remained scarce and its functional significance unclear. Moreover, there is no empirical evidence to support the hypothesis that the human brain could flexibly operate near either a first- or second-order phase transition despite such a continuum being common in models. Here, using computational modeling, we found bistable synchronization dynamics to emerge through elevated positive feedback and occur exclusively in a regimen of critical-like dynamics. We then assessed bistability in vivo with resting-state MEG in healthy adults (7 females, 11 males) and stereo-electroencephalography in epilepsy patients (28 females, 36 males). This analysis revealed that a large fraction of the neocortices exhibited varying degrees of bistability in neuronal oscillations from 3 to 200 Hz. In line with our modeling results, the neuronal bistability was positively correlated with classic assessment of brain criticality across narrow-band frequencies. Excessive bistability was predictive of epileptic pathophysiology in the patients, whereas moderate bistability was positively correlated with task performance in the healthy subjects. These empirical findings thus reveal the human brain as a one-of-a-kind complex system that exhibits critical-like dynamics in a continuum between continuous and discontinuous phase transitions.SIGNIFICANCE STATEMENT In the model, while synchrony per se was controlled by connectivity, increasing positive local feedback led to gradually emerging bistable synchrony with scale-free dynamics, suggesting a continuum between second- and first-order phase transitions in synchrony dynamics inside a critical-like regimen. In resting-state MEG and SEEG, bistability of ongoing neuronal oscillations was pervasive across brain areas and frequency bands and was observed only with concurring critical-like dynamics as the modeling predicted. As evidence for functional relevance, moderate bistability was positively correlated with executive functioning in the healthy subjects, and excessive bistability was associated with epileptic pathophysiology. These findings show that critical-like neuronal dynamics in vivo involves both continuous and discontinuous phase transitions in a frequency-, neuroanatomy-, and state-dependent manner. The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback regulation of neuronal activity could, however, lead to a discontinuous first-order transition and thereby bistable activity. Observations of bistability in awake brain activity have nonetheless remained scarce and its functional significance unclear. Moreover, there is no empirical evidence to support the hypothesis that the human brain could flexibly operate near either a first- or second-order phase transition despite such a continuum being common in models. Here, using computational modeling, we found bistable synchronization dynamics to emerge through elevated positive feedback and occur exclusively in a regimen of critical-like dynamics. We then assessed bistability in vivo with resting-state MEG in healthy adults (7 females, 11 males) and stereo-electroencephalography in epilepsy patients (28 females, 36 males). This analysis revealed that a large fraction of the neocortices exhibited varying degrees of bistability in neuronal oscillations from 3 to 200 Hz. In line with our modeling results, the neuronal bistability was positively correlated with classic assessment of brain criticality across narrow-band frequencies. Excessive bistability was predictive of epileptic pathophysiology in the patients, whereas moderate bistability was positively correlated with task performance in the healthy subjects. These empirical findings thus reveal the human brain as a one-of-a-kind complex system that exhibits critical-like dynamics in a continuum between continuous and discontinuous phase transitions. SIGNIFICANCE STATEMENT In the model, while synchrony per se was controlled by connectivity, increasing positive local feedback led to gradually emerging bistable synchrony with scale-free dynamics, suggesting a continuum between second- and first-order phase transitions in synchrony dynamics inside a critical-like regimen. In resting-state MEG and SEEG, bistability of ongoing neuronal oscillations was pervasive across brain areas and frequency bands and was observed only with concurring critical-like dynamics as the modeling predicted. As evidence for functional relevance, moderate bistability was positively correlated with executive functioning in the healthy subjects, and excessive bistability was associated with epileptic pathophysiology. These findings show that critical-like neuronal dynamics in vivo involves both continuous and discontinuous phase transitions in a frequency-, neuroanatomy-, and state-dependent manner. The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback regulation of neuronal activity could, however, lead to a discontinuous first-order transition and thereby bistable activity. Observations of bistability in awake brain activity have nonetheless remained scarce and its functional significance unclear. Moreover, there is no empirical evidence to support the hypothesis that the human brain could flexibly operate near either a first- or second-order phase transition despite such a continuum being common in models. Here, using computational modeling, we found bistable synchronization dynamics to emerge through elevated positive feedback and occur exclusively in a regimen of critical-like dynamics. We then assessed bistability in vivo with resting-state MEG in healthy adults (7 females, 11 males) and stereo-electroencephalography in epilepsy patients (28 females, 36 males). This analysis revealed that a large fraction of the neocortices exhibited varying degrees of bistability in neuronal oscillations from 3 to 200 Hz. In line with our modeling results, the neuronal bistability was positively correlated with classic assessment of brain criticality across narrow-band frequencies. Excessive bistability was predictive of epileptic pathophysiology in the patients, whereas moderate bistability was positively correlated with task performance in the healthy subjects. These empirical findings thus reveal the human brain as a one-of-a-kind complex system that exhibits critical-like dynamics in a continuum between continuous and discontinuous phase transitions. The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback regulation of neuronal activity could, however, lead to a discontinuous first-order transition and thereby bistable activity. Observations of bistability in awake brain activity have nonetheless remained scarce and its functional significance unclear. Moreover, there is no empirical evidence to support the hypothesis that the human brain could flexibly operate near either a first- or second-order phase transition despite such a continuum being common in models. Here, using computational modeling, we found bistable synchronization dynamics to emerge through elevated positive feedback and occur exclusively in a regimen of critical-like dynamics. We then assessed bistability with resting-state MEG in healthy adults (7 females, 11 males) and stereo-electroencephalography in epilepsy patients (28 females, 36 males). This analysis revealed that a large fraction of the neocortices exhibited varying degrees of bistability in neuronal oscillations from 3 to 200 Hz. In line with our modeling results, the neuronal bistability was positively correlated with classic assessment of brain criticality across narrow-band frequencies. Excessive bistability was predictive of epileptic pathophysiology in the patients, whereas moderate bistability was positively correlated with task performance in the healthy subjects. These empirical findings thus reveal the human brain as a one-of-a-kind complex system that exhibits critical-like dynamics in a continuum between continuous and discontinuous phase transitions. In the model, while synchrony per se was controlled by connectivity, increasing positive local feedback led to gradually emerging bistable synchrony with scale-free dynamics, suggesting a continuum between second- and first-order phase transitions in synchrony dynamics inside a critical-like regimen. In resting-state MEG and SEEG, bistability of ongoing neuronal oscillations was pervasive across brain areas and frequency bands and was observed only with concurring critical-like dynamics as the modeling predicted. As evidence for functional relevance, moderate bistability was positively correlated with executive functioning in the healthy subjects, and excessive bistability was associated with epileptic pathophysiology. These findings show that critical-like neuronal dynamics involves both continuous and discontinuous phase transitions in a frequency-, neuroanatomy-, and state-dependent manner. |
Author | Arnulfo, Gabriele Nobili, Lino Palva, Satu Breakspear, Michael Palva, J. Matias Wang, Sheng H. Siebenhühner, Felix Myrov, Vladislav |
Author_xml | – sequence: 1 givenname: Sheng H. surname: Wang fullname: Wang, Sheng H. – sequence: 2 givenname: Felix surname: Siebenhühner fullname: Siebenhühner, Felix – sequence: 3 givenname: Gabriele surname: Arnulfo fullname: Arnulfo, Gabriele – sequence: 4 givenname: Vladislav surname: Myrov fullname: Myrov, Vladislav – sequence: 5 givenname: Lino surname: Nobili fullname: Nobili, Lino – sequence: 6 givenname: Michael surname: Breakspear fullname: Breakspear, Michael – sequence: 7 givenname: Satu orcidid: 0000-0001-9496-7391 surname: Palva fullname: Palva, Satu – sequence: 8 givenname: J. Matias surname: Palva fullname: Palva, J. Matias |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37816599$$D View this record in MEDLINE/PubMed |
BookMark | eNqFkVtrFTEUhYO02NPqXygBX3yZY66TPSCIjq22FI_YFnwLOZmMTZ1JajIj9N-boRe0Lz4lYX977ZW99tFOiMEhdEjJmkrG35x-Obr8tjlvT9YUoKkYWzPC-DO0KtXyFITuoBVhilS1UGIP7ed8TQhRhKrnaI8roLVsmhX63iY_eWuGavA_Hf6QjA_4420wo7cZl7vBbQyTD_M84j7FEZ87G0NX4SniY5_yVG1S5xL-emWywxfJhFwEY3iBdnszZPfy_jxAl8dHF-3n6mzz6aR9f1ZZLoFX1FIClHVM9cDAMCGtqakAxZ1R9RaUM4xwEDUBQaXsjQNCxbYDqkTdd8AP0Ls73Zt5O7rOujAlM-ib5EeTbnU0Xv9bCf5K_4i_NSU1FxJEUXh9r5Dir9nlSY8-WzcMJrg4Z81ASZBMNrSgr56g13FOofyvUNDwhhO1UId_W3r08rD1Ary9A2yKOSfXa-sns2ytOPRDsaaXkPVjyHoJWTOml5BLe_2k_WHCfxr_AG0fqqk |
CitedBy_id | crossref_primary_10_1016_j_crneur_2024_100126 crossref_primary_10_1038_s41467_024_55639_3 crossref_primary_10_1038_s42003_024_06083_y crossref_primary_10_1016_j_chaos_2024_114701 crossref_primary_10_1111_epi_17996 |
Cites_doi | 10.1093/cercor/bhj072 10.1038/s41598-017-02750-9 10.1098/rsta.2020.0424 10.1371/journal.pcbi.1004698 10.1140/epjnbp11 10.1073/pnas.1216855110 10.1016/j.cja.2014.12.022 10.1093/neurosurgery/57.4.706 10.3389/fphys.2012.00163 10.1038/nphys1803 10.1371/journal.pcbi.0020023 10.1073/pnas.1712989115 10.1016/j.tpb.2006.09.003 10.1038/nphys1757 10.1140/epjst/e2012-01559-5 10.1023/A:1010933404324 10.1523/JNEUROSCI.4880-14.2015 10.1103/PhysRevLett.122.208101 10.1155/2011/156869 10.1016/j.neuroimage.2015.02.031 10.1103/PhysRevE.97.062305 10.1103/PhysRevLett.116.240601 10.1371/journal.pcbi.1002634 10.1016/S1474-4422(23)00008-X 10.1371/journal.pone.0062033 10.1038/scientificamerican0476-65 10.3389/fphys.2012.00450 10.1093/brain/awu133 10.1227/NEU.0b013e31827d1161 10.1038/s41467-023-40056-9 10.1093/cercor/bhx179 10.1016/j.tins.2018.08.008 10.3389/fnhum.2010.00190 10.1038/nn.4497 10.1103/PhysRevLett.105.128701 10.1124/jpet.116.237503 10.1371/journal.pone.0092182 10.1162/089976604323057443 10.1038/msb.2011.98 10.1016/j.physrep.2015.10.008 10.1016/S0896-6273(02)00569-X 10.1063/1.325414 10.7551/mitpress/2526.001.0001 10.1038/s41467-020-18975-8 10.1073/pnas.1414708112 10.3389/fncom.2022.1037550 10.1007/s12064-011-0146-8 10.3389/fncom.2022.703865 10.1111/j.1467-9574.2012.00530.x 10.1371/journal.pone.0100876 10.1016/j.neuroimage.2016.04.049 10.1212/WNL.43.8.1612 10.1016/j.pneurobio.2017.07.002 10.1016/j.conb.2019.08.002 10.1016/j.tics.2005.08.011 10.1007/s004240050957 10.1103/PhysRevLett.111.198701 10.1113/jphysiol.2012.239590 10.1103/RevModPhys.90.031001 10.1016/j.physrep.2018.06.001 10.1038/nphys289 10.1038/nature11018 10.3389/fncir.2020.00054 10.3389/fphy.2020.00333 10.1109/10.16463 10.1038/nn.4242 10.1007/BF02512476 10.1098/rsta.2007.2092 10.1038/35065675 10.1186/s13408-015-0034-5 10.1093/brain/awx004 10.1097/WNP.0b013e3181fdf8d3 10.1523/JNEUROSCI.21-04-01370.2001 10.1088/0031-9155/51/7/008 10.1152/jn.00338.2011 10.1162/NETN_a_00008 10.1002/bies.20769 10.1523/JNEUROSCI.13-08-03252.1993 10.1523/JNEUROSCI.0754-09.2009 10.1523/JNEUROSCI.4637-10.2011 10.1111/j.1365-2958.2006.05249.x 10.1038/ncomms3521 10.1016/j.jneumeth.2014.01.031 10.1016/j.conb.2014.10.014 10.3389/neuro.07.017.2009 10.1016/S0006-3495(72)86068-5 10.1103/PhysRevResearch.3.023224 10.1007/978-0-387-84858-7 10.1093/cercor/bhl049 10.1103/PhysRevLett.126.098101 10.18601/16577558.n26.03 10.1186/s12859-015-0511-6 10.1103/PhysRevLett.78.1616 |
ContentType | Journal Article |
Copyright | Copyright © 2023 the authors. Copyright Society for Neuroscience Nov 8, 2023 Copyright © 2023 the authors 2023 |
Copyright_xml | – notice: Copyright © 2023 the authors. – notice: Copyright Society for Neuroscience Nov 8, 2023 – notice: Copyright © 2023 the authors 2023 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QG 7QR 7TK 7U7 7U9 8FD C1K FR3 H94 P64 7X8 5PM |
DOI | 10.1523/JNEUROSCI.1889-22.2023 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Animal Behavior Abstracts Chemoreception Abstracts Neurosciences Abstracts Toxicology Abstracts Virology and AIDS Abstracts Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database AIDS and Cancer Research Abstracts Biotechnology and BioEngineering Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Virology and AIDS Abstracts Technology Research Database Toxicology Abstracts Animal Behavior Abstracts AIDS and Cancer Research Abstracts Chemoreception Abstracts Engineering Research Database Neurosciences Abstracts Biotechnology and BioEngineering Abstracts Environmental Sciences and Pollution Management MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic CrossRef Virology and AIDS Abstracts MEDLINE |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Anatomy & Physiology |
EISSN | 1529-2401 |
EndPage | 7656 |
ExternalDocumentID | PMC10634584 37816599 10_1523_JNEUROSCI_1889_22_2023 |
Genre | Journal Article |
GrantInformation_xml | – fundername: The Ella and Georg Ehrnrooth Foundation Grant grantid: 14-10553-2 – fundername: Finnish Cultural Foundation grantid: 00220071 – fundername: The Academy of Finland grantid: SA 266402; 303933; and SA 325404; SA 253130 and 296304 |
GroupedDBID | --- -DZ -~X .55 18M 2WC 34G 39C 53G 5GY 5RE 5VS AAFWJ AAJMC AAYXX ABBAR ABIVO ACGUR ACNCT ADBBV ADHGD AENEX AFCFT AFOSN AFSQR AHWXS ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BTFSW CITATION CS3 DIK DU5 E3Z EBS EJD F5P GX1 H13 HYE H~9 KQ8 L7B OK1 P0W P2P QZG R.V RHI RPM TFN TR2 W8F WH7 WOQ X7M YBU YHG YKV YNH YSK CGR CUY CVF ECM EIF NPM 7QG 7QR 7TK 7U7 7U9 8FD C1K FR3 H94 P64 7X8 5PM |
ID | FETCH-LOGICAL-c3583-1c10812d27f828a245ca614873ea76b87ea203846084155fae8014bd81746fd83 |
ISSN | 0270-6474 1529-2401 |
IngestDate | Thu Aug 21 18:34:22 EDT 2025 Fri Jul 11 16:35:11 EDT 2025 Mon Jun 30 17:15:27 EDT 2025 Thu Apr 03 07:03:40 EDT 2025 Thu Apr 24 22:52:37 EDT 2025 Tue Jul 01 00:59:20 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 45 |
Keywords | epilepsy criticality bistability dynamics scale-free resting-state |
Language | English |
License | https://creativecommons.org/licenses/by-nc-sa/4.0 Copyright © 2023 the authors. SfN exclusive license. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c3583-1c10812d27f828a245ca614873ea76b87ea203846084155fae8014bd81746fd83 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Author contributions: S.H.W. and J.M.P. designed research; S.H.W. performed research; S.H.W., F.S., G.A., V.M., L.N., M.B., and J.M.P. contributed unpublished reagents/analytic tools; S.H.W. analyzed data; S.H.W., M.B., S.P., and J.M.P. wrote the first draft of the paper; S.H.W., F.S., G.A., M.B., S.P., and J.M.P. edited the paper; S.H.W. and J.M.P. wrote the paper. |
ORCID | 0000-0001-9496-7391 |
OpenAccessLink | https://research.aalto.fi/files/129116704/Critical-like_Brain_Dynamics_in_a_Continuum_from_Second-_to_First-Order_Phase_Transition.pdf |
PMID | 37816599 |
PQID | 2889393071 |
PQPubID | 2049535 |
PageCount | 15 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_10634584 proquest_miscellaneous_2875852591 proquest_journals_2889393071 pubmed_primary_37816599 crossref_citationtrail_10_1523_JNEUROSCI_1889_22_2023 crossref_primary_10_1523_JNEUROSCI_1889_22_2023 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2023-11-08 20231108 |
PublicationDateYYYYMMDD | 2023-11-08 |
PublicationDate_xml | – month: 11 year: 2023 text: 2023-11-08 day: 08 |
PublicationDecade | 2020 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Baltimore |
PublicationTitle | The Journal of neuroscience |
PublicationTitleAlternate | J Neurosci |
PublicationYear | 2023 |
Publisher | Society for Neuroscience |
Publisher_xml | – name: Society for Neuroscience |
References | Boedecker (2023110811001459000_43.45.7642.12) 2012; 131 2023110811001459000_43.45.7642.70 2023110811001459000_43.45.7642.8 2023110811001459000_43.45.7642.6 2023110811001459000_43.45.7642.7 2023110811001459000_43.45.7642.31 2023110811001459000_43.45.7642.75 2023110811001459000_43.45.7642.32 2023110811001459000_43.45.7642.76 Agu (2023110811001459000_43.45.7642.1) 1978; 49 2023110811001459000_43.45.7642.33 2023110811001459000_43.45.7642.77 2023110811001459000_43.45.7642.78 2023110811001459000_43.45.7642.71 Sornette (2023110811001459000_43.45.7642.81) 2012; 205 2023110811001459000_43.45.7642.30 Kinouchi (2023110811001459000_43.45.7642.54) 2006; 2 2023110811001459000_43.45.7642.74 Arnulfo (2023110811001459000_43.45.7642.3) 2015; 16 2023110811001459000_43.45.7642.79 2023110811001459000_43.45.7642.36 2023110811001459000_43.45.7642.37 2023110811001459000_43.45.7642.38 2023110811001459000_43.45.7642.80 Lancaster (2023110811001459000_43.45.7642.57) 2018; 748 2023110811001459000_43.45.7642.42 2023110811001459000_43.45.7642.86 Xin (2023110811001459000_43.45.7642.90) 2015; 28 2023110811001459000_43.45.7642.43 2023110811001459000_43.45.7642.87 2023110811001459000_43.45.7642.44 Muñoz (2023110811001459000_43.45.7642.67) 2010; 105 2023110811001459000_43.45.7642.88 Zhigalov (2023110811001459000_43.45.7642.94) 2017; 1 2023110811001459000_43.45.7642.89 2023110811001459000_43.45.7642.82 Fosque (2023110811001459000_43.45.7642.35) 2022; 16 2023110811001459000_43.45.7642.83 2023110811001459000_43.45.7642.40 Holcman (2023110811001459000_43.45.7642.45) 2005; 2 2023110811001459000_43.45.7642.84 2023110811001459000_43.45.7642.41 2023110811001459000_43.45.7642.85 Kim (2023110811001459000_43.45.7642.53) 1997; 78 2023110811001459000_43.45.7642.47 2023110811001459000_43.45.7642.48 Fosque (2023110811001459000_43.45.7642.34) 2021; 126 2023110811001459000_43.45.7642.49 Buendía (2023110811001459000_43.45.7642.20) 2022; 380 Rodrigues (2023110811001459000_43.45.7642.73) 2016; 610 2023110811001459000_43.45.7642.91 2023110811001459000_43.45.7642.92 2023110811001459000_43.45.7642.10 2023110811001459000_43.45.7642.11 2023110811001459000_43.45.7642.55 2023110811001459000_43.45.7642.56 2023110811001459000_43.45.7642.93 2023110811001459000_43.45.7642.51 2023110811001459000_43.45.7642.95 2023110811001459000_43.45.7642.52 2023110811001459000_43.45.7642.17 2023110811001459000_43.45.7642.18 2023110811001459000_43.45.7642.13 2023110811001459000_43.45.7642.14 2023110811001459000_43.45.7642.58 2023110811001459000_43.45.7642.15 2023110811001459000_43.45.7642.59 2023110811001459000_43.45.7642.16 di Santo (2023110811001459000_43.45.7642.26) 2016; 116 Fuscà (2023110811001459000_43.45.7642.39) 2023; 14 Hugo (2023110811001459000_43.45.7642.46) 2013; 111 Roberts (2023110811001459000_43.45.7642.72) 2015; 31 2023110811001459000_43.45.7642.4 2023110811001459000_43.45.7642.64 2023110811001459000_43.45.7642.5 2023110811001459000_43.45.7642.21 2023110811001459000_43.45.7642.65 2023110811001459000_43.45.7642.2 2023110811001459000_43.45.7642.22 2023110811001459000_43.45.7642.66 2023110811001459000_43.45.7642.23 Jirsa (2023110811001459000_43.45.7642.50) 2023; 22 2023110811001459000_43.45.7642.60 2023110811001459000_43.45.7642.61 Beggs (2023110811001459000_43.45.7642.9) 2022; 16 2023110811001459000_43.45.7642.62 2023110811001459000_43.45.7642.63 2023110811001459000_43.45.7642.28 2023110811001459000_43.45.7642.29 2023110811001459000_43.45.7642.24 2023110811001459000_43.45.7642.68 Buendía (2023110811001459000_43.45.7642.19) 2021; 3 2023110811001459000_43.45.7642.25 2023110811001459000_43.45.7642.69 2023110811001459000_43.45.7642.27 |
References_xml | – ident: 2023110811001459000_43.45.7642.15 doi: 10.1093/cercor/bhj072 – ident: 2023110811001459000_43.45.7642.80 doi: 10.1038/s41598-017-02750-9 – volume: 380 start-page: 20200424 year: 2022 ident: 2023110811001459000_43.45.7642.20 article-title: The broad edge of synchronization: Griffiths effects and collective phenomena in brain networks publication-title: Philos Trans R Soc A Math Phys Eng Sci doi: 10.1098/rsta.2020.0424 – ident: 2023110811001459000_43.45.7642.79 doi: 10.1371/journal.pcbi.1004698 – ident: 2023110811001459000_43.45.7642.6 doi: 10.1140/epjnbp11 – ident: 2023110811001459000_43.45.7642.70 doi: 10.1073/pnas.1216855110 – volume: 28 start-page: 250 year: 2015 ident: 2023110811001459000_43.45.7642.90 article-title: Bifurcation analysis and stability design for aircraft longitudinal motion with high angle of attack publication-title: Chin J Aeronaut doi: 10.1016/j.cja.2014.12.022 – ident: 2023110811001459000_43.45.7642.24 doi: 10.1093/neurosurgery/57.4.706 – ident: 2023110811001459000_43.45.7642.10 doi: 10.3389/fphys.2012.00163 – ident: 2023110811001459000_43.45.7642.22 doi: 10.1038/nphys1803 – volume: 2 start-page: e23 year: 2005 ident: 2023110811001459000_43.45.7642.45 article-title: The emergence of Up and Down states in cortical networks publication-title: PLoS Comp Biol doi: 10.1371/journal.pcbi.0020023 – ident: 2023110811001459000_43.45.7642.27 doi: 10.1073/pnas.1712989115 – ident: 2023110811001459000_43.45.7642.52 doi: 10.1016/j.tpb.2006.09.003 – ident: 2023110811001459000_43.45.7642.62 doi: 10.1038/nphys1757 – volume: 205 start-page: 1 year: 2012 ident: 2023110811001459000_43.45.7642.81 article-title: Dragon-Kings mechanisms, statistical methods and empirical evidence publication-title: Eur Phys J Spec Top doi: 10.1140/epjst/e2012-01559-5 – ident: 2023110811001459000_43.45.7642.17 doi: 10.1023/A:1010933404324 – ident: 2023110811001459000_43.45.7642.93 doi: 10.1523/JNEUROSCI.4880-14.2015 – ident: 2023110811001459000_43.45.7642.33 doi: 10.1103/PhysRevLett.122.208101 – ident: 2023110811001459000_43.45.7642.84 – ident: 2023110811001459000_43.45.7642.68 doi: 10.1155/2011/156869 – ident: 2023110811001459000_43.45.7642.2 doi: 10.1016/j.neuroimage.2015.02.031 – ident: 2023110811001459000_43.45.7642.75 doi: 10.1103/PhysRevE.97.062305 – volume: 116 start-page: 240601 year: 2016 ident: 2023110811001459000_43.45.7642.26 article-title: Self-organized bistability associated with first-order phase transitions publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.116.240601 – ident: 2023110811001459000_43.45.7642.37 doi: 10.1371/journal.pcbi.1002634 – volume: 22 start-page: 443 year: 2023 ident: 2023110811001459000_43.45.7642.50 article-title: Personalised virtual brain models in epilepsy publication-title: Lancet Neurol doi: 10.1016/S1474-4422(23)00008-X – ident: 2023110811001459000_43.45.7642.13 doi: 10.1371/journal.pone.0062033 – ident: 2023110811001459000_43.45.7642.92 doi: 10.1038/scientificamerican0476-65 – ident: 2023110811001459000_43.45.7642.42 doi: 10.3389/fphys.2012.00450 – ident: 2023110811001459000_43.45.7642.48 doi: 10.1093/brain/awu133 – ident: 2023110811001459000_43.45.7642.21 doi: 10.1227/NEU.0b013e31827d1161 – volume: 14 start-page: 4736 year: 2023 ident: 2023110811001459000_43.45.7642.39 article-title: Brain criticality predicts individual levels of interareal synchronization levels in human electrophysiological data publication-title: Nat Commun doi: 10.1038/s41467-023-40056-9 – ident: 2023110811001459000_43.45.7642.76 doi: 10.1093/cercor/bhx179 – ident: 2023110811001459000_43.45.7642.69 doi: 10.1016/j.tins.2018.08.008 – ident: 2023110811001459000_43.45.7642.16 doi: 10.3389/fnhum.2010.00190 – ident: 2023110811001459000_43.45.7642.14 doi: 10.1038/nn.4497 – volume: 105 start-page: 128701 year: 2010 ident: 2023110811001459000_43.45.7642.67 article-title: Griffiths phases on complex networks publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.105.128701 – ident: 2023110811001459000_43.45.7642.74 doi: 10.1124/jpet.116.237503 – ident: 2023110811001459000_43.45.7642.59 doi: 10.1371/journal.pone.0092182 – ident: 2023110811001459000_43.45.7642.11 doi: 10.1162/089976604323057443 – ident: 2023110811001459000_43.45.7642.56 doi: 10.1038/msb.2011.98 – volume: 610 start-page: 1 year: 2016 ident: 2023110811001459000_43.45.7642.73 article-title: The Kuramoto model in complex networks publication-title: Phys Rep doi: 10.1016/j.physrep.2015.10.008 – ident: 2023110811001459000_43.45.7642.32 doi: 10.1016/S0896-6273(02)00569-X – volume: 49 start-page: 3645 year: 1978 ident: 2023110811001459000_43.45.7642.1 article-title: Prediction of catastrophes in bistable systems using externally applied random force publication-title: J Appl Phys doi: 10.1063/1.325414 – ident: 2023110811001459000_43.45.7642.47 doi: 10.7551/mitpress/2526.001.0001 – ident: 2023110811001459000_43.45.7642.4 doi: 10.1038/s41467-020-18975-8 – ident: 2023110811001459000_43.45.7642.86 doi: 10.1073/pnas.1414708112 – volume: 16 start-page: 1037550 year: 2022 ident: 2023110811001459000_43.45.7642.35 article-title: Quasicriticality explains variability of human neural dynamics across life span publication-title: Front Comput Neurosci doi: 10.3389/fncom.2022.1037550 – volume: 131 start-page: 205 year: 2012 ident: 2023110811001459000_43.45.7642.12 article-title: Information processing in echo state networks at the edge of chaos publication-title: Theory Biosci doi: 10.1007/s12064-011-0146-8 – volume: 16 start-page: 703865 year: 2022 ident: 2023110811001459000_43.45.7642.9 article-title: Addressing skepticism of the critical brain hypothesis publication-title: Front Comput Neurosci doi: 10.3389/fncom.2022.703865 – ident: 2023110811001459000_43.45.7642.89 doi: 10.1111/j.1467-9574.2012.00530.x – ident: 2023110811001459000_43.45.7642.7 doi: 10.1371/journal.pone.0100876 – ident: 2023110811001459000_43.45.7642.49 doi: 10.1016/j.neuroimage.2016.04.049 – ident: 2023110811001459000_43.45.7642.60 doi: 10.1212/WNL.43.8.1612 – ident: 2023110811001459000_43.45.7642.23 doi: 10.1016/j.pneurobio.2017.07.002 – ident: 2023110811001459000_43.45.7642.88 doi: 10.1016/j.conb.2019.08.002 – ident: 2023110811001459000_43.45.7642.38 doi: 10.1016/j.tics.2005.08.011 – ident: 2023110811001459000_43.45.7642.31 doi: 10.1007/s004240050957 – volume: 111 start-page: 198701 year: 2013 ident: 2023110811001459000_43.45.7642.46 article-title: Predictability and suppression of extreme events in a chaotic system publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.111.198701 – ident: 2023110811001459000_43.45.7642.51 doi: 10.1113/jphysiol.2012.239590 – ident: 2023110811001459000_43.45.7642.66 doi: 10.1103/RevModPhys.90.031001 – volume: 748 start-page: 1 year: 2018 ident: 2023110811001459000_43.45.7642.57 article-title: Surrogate data for hypothesis testing of physical systems publication-title: Phys Rep doi: 10.1016/j.physrep.2018.06.001 – volume: 2 start-page: 348 year: 2006 ident: 2023110811001459000_43.45.7642.54 article-title: Optimal dynamical range of excitable networks at criticality publication-title: Nature Phys doi: 10.1038/nphys289 – ident: 2023110811001459000_43.45.7642.5 doi: 10.1038/nature11018 – ident: 2023110811001459000_43.45.7642.95 doi: 10.3389/fncir.2020.00054 – ident: 2023110811001459000_43.45.7642.18 doi: 10.3389/fphy.2020.00333 – ident: 2023110811001459000_43.45.7642.41 doi: 10.1109/10.16463 – ident: 2023110811001459000_43.45.7642.29 doi: 10.1038/nn.4242 – ident: 2023110811001459000_43.45.7642.40 doi: 10.1007/BF02512476 – ident: 2023110811001459000_43.45.7642.8 doi: 10.1098/rsta.2007.2092 – ident: 2023110811001459000_43.45.7642.77 doi: 10.1038/35065675 – ident: 2023110811001459000_43.45.7642.25 doi: 10.1186/s13408-015-0034-5 – ident: 2023110811001459000_43.45.7642.71 doi: 10.1093/brain/awx004 – ident: 2023110811001459000_43.45.7642.44 doi: 10.1097/WNP.0b013e3181fdf8d3 – ident: 2023110811001459000_43.45.7642.58 doi: 10.1523/JNEUROSCI.21-04-01370.2001 – ident: 2023110811001459000_43.45.7642.83 doi: 10.1088/0031-9155/51/7/008 – ident: 2023110811001459000_43.45.7642.91 doi: 10.1152/jn.00338.2011 – volume: 1 start-page: 143 year: 2017 ident: 2023110811001459000_43.45.7642.94 article-title: Modular co-organization of functional connectivity and scale-free dynamics in the human brain publication-title: Netw Neurosci doi: 10.1162/NETN_a_00008 – ident: 2023110811001459000_43.45.7642.63 doi: 10.1002/bies.20769 – ident: 2023110811001459000_43.45.7642.61 – ident: 2023110811001459000_43.45.7642.82 doi: 10.1523/JNEUROSCI.13-08-03252.1993 – ident: 2023110811001459000_43.45.7642.36 doi: 10.1523/JNEUROSCI.0754-09.2009 – ident: 2023110811001459000_43.45.7642.78 doi: 10.1523/JNEUROSCI.4637-10.2011 – ident: 2023110811001459000_43.45.7642.30 doi: 10.1111/j.1365-2958.2006.05249.x – ident: 2023110811001459000_43.45.7642.65 doi: 10.1038/ncomms3521 – ident: 2023110811001459000_43.45.7642.55 doi: 10.1016/j.jneumeth.2014.01.031 – volume: 31 start-page: 164 year: 2015 ident: 2023110811001459000_43.45.7642.72 article-title: The heavy tail of the human brain publication-title: Curr Opin Neurobiol doi: 10.1016/j.conb.2014.10.014 – ident: 2023110811001459000_43.45.7642.85 doi: 10.3389/neuro.07.017.2009 – ident: 2023110811001459000_43.45.7642.87 doi: 10.1016/S0006-3495(72)86068-5 – volume: 3 start-page: 29 year: 2021 ident: 2023110811001459000_43.45.7642.19 article-title: Hybrid-type synchronization transitions: where incipient oscillations, scale-free avalanches, and bistability live together publication-title: Phys Rev Res doi: 10.1103/PhysRevResearch.3.023224 – ident: 2023110811001459000_43.45.7642.43 doi: 10.1007/978-0-387-84858-7 – ident: 2023110811001459000_43.45.7642.64 doi: 10.1093/cercor/bhl049 – volume: 126 year: 2021 ident: 2023110811001459000_43.45.7642.34 article-title: Evidence for quasicritical brain dynamics publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.126.098101 – ident: 2023110811001459000_43.45.7642.28 doi: 10.18601/16577558.n26.03 – volume: 16 start-page: 99 year: 2015 ident: 2023110811001459000_43.45.7642.3 article-title: Automatic segmentation of deep intracerebral electrodes in computed tomography scans publication-title: BMC Bioinformatics doi: 10.1186/s12859-015-0511-6 – volume: 78 start-page: 1616 year: 1997 ident: 2023110811001459000_43.45.7642.53 article-title: Noise-enhanced multistability in coupled oscillator systems publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.78.1616 |
SSID | ssj0007017 |
Score | 2.4765568 |
Snippet | The classic brain criticality hypothesis postulates that the brain benefits from operating near a continuous second-order phase transition. Slow feedback... |
SourceID | pubmedcentral proquest pubmed crossref |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 7642 |
SubjectTerms | Adult Bistability Brain Brain - physiology Brain Mapping Complex systems Computational neuroscience Computer Simulation Dynamics EEG Electroencephalography - methods Empirical analysis Epilepsy Feedback Female Females Humans Hypotheses Male Males Neocortex Oscillations Phase transitions Positive feedback Synchronism Synchronization |
Title | Critical-like Brain Dynamics in a Continuum from Second- to First-Order Phase Transition |
URI | https://www.ncbi.nlm.nih.gov/pubmed/37816599 https://www.proquest.com/docview/2889393071 https://www.proquest.com/docview/2875852591 https://pubmed.ncbi.nlm.nih.gov/PMC10634584 |
Volume | 43 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLbKeOEFAeNSGMhIiJcpXeIkjfM4ysoYowO1k_oW2YlDA12KSjIx_gX_mHPs3LpN3F6iKHEu8vfFOcc-5zuEvJBS2uD5SCtIQmF5oRDwSTHX4iwJUjvhntJJYu8nw8NT72juz3u9n52opbKQg_jHtXkl_4MqHANcMUv2H5BtbgoHYB_whS0gDNu_wriuU2Atsy-4zA9e_u5rU2Jeh7kKTOgrsrwsz0weyRTd38RCg3Ocgd1nnaDy5u6HBfzLjM551gD1ueVRx2rt6F-2qzr1nPNC5Z_abIdpBtDlC1yKfzWqE2vGapl9b1mWl8tUT9a-EXKNue4NAS7Wq3MdhLsUSQa8Pe_OTwDMes61nZ_sBJ9OLr-iGedYAB6sZ4r1DFQ1DjO98ON0B2qj51QR0vM7w24wNBJdV_4HvtalOJpgWOR09Hbg6KAuTMAzWc6bAtyTk2h8enwczQ7msxvkJgPPA4tivPvYCtAHti7i3LxzlXQOz9m7_imb9s4VJ-ZyLG7HuJndIbcrfOm-odhd0lP5PbK9n4tidXZBX1IdJ6wXYLbJfIN1VLOO1qyjsC9owzqKrKMV62ixoh3WUc062rLuPjkdH8xGh1ZVn8OKXZ8D0LEDBiVLWJCC3y6Y58cCdWUDV4lgKHmgBLNdMHBtjmZrKhRKFcmEgxc8TBPuPiBb-SpXjwgN_TRxYltJX3meJ-B-yrM9yXiM8wOC94lf92IUV-L1WENlGaETC70fNb0fYe9HjEXY-32y11z31ci3_PGKnRqkqPrUv0UMGrgh_A6dPnnenIaBGFfXRK5WJbZB15v5IbR5aDBtHukG3Bn6YdgnfAPtpgGKvG-eybOFFnt3wIfAWIbHv3-vJ-RW-_HtkK1iXaqnYC4X8pkm8C9rsr6W |
linkProvider | Colorado Alliance of Research Libraries |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Critical-like+Brain+Dynamics+in+a+Continuum+from+Second-+to+First-Order+Phase+Transition&rft.jtitle=The+Journal+of+neuroscience&rft.au=Wang%2C+Sheng+H&rft.au=Siebenh%C3%BChner%2C+Felix&rft.au=Arnulfo%2C+Gabriele&rft.au=Myrov%2C+Vladislav&rft.date=2023-11-08&rft.pub=Society+for+Neuroscience&rft.issn=0270-6474&rft.eissn=1529-2401&rft.volume=43&rft.issue=45&rft.spage=7642&rft_id=info:doi/10.1523%2FJNEUROSCI.1889-22.2023&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0270-6474&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0270-6474&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0270-6474&client=summon |