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1000 Titel
  • Multiscale criticality measures as general-purpose gauges of proper brain function
1000 Autor/in
  1. Fekete, Tomer |
  2. Hinrichs, Hermann |
  3. Sitt, Jacobo Diego |
  4. Heinze, Hans-Jochen |
  5. Shriki, Oren |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-14
1000 Erschienen in
1000 Quellenangabe
  • 11(1):14441
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41598-021-93880-8 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280148/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41598-021-93880-8#Sec17 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The brain is universally regarded as a system for processing information. If so, any behavioral or cognitive dysfunction should lend itself to depiction in terms of information processing deficiencies. Information is characterized by recursive, hierarchical complexity. The brain accommodates this complexity by a hierarchy of large/slow and small/fast spatiotemporal loops of activity. Thus, successful information processing hinges upon tightly regulating the spatiotemporal makeup of activity, to optimally match the underlying multiscale delay structure of such hierarchical networks. Reduced capacity for information processing will then be expressed as deviance from this requisite multiscale character of spatiotemporal activity. This deviance is captured by a general family of multiscale criticality measures (MsCr). MsCr measures reflect the behavior of conventional criticality measures (such as the branching parameter) across temporal scale. We applied MsCr to MEG and EEG data in several telling degraded information processing scenarios. Consistently with our previous modeling work, MsCr measures systematically varied with information processing capacity: MsCr fingerprints showed deviance in the four states of compromised information processing examined in this study, disorders of consciousness, mild cognitive impairment, schizophrenia and even during pre-ictal activity. MsCr measures might thus be able to serve as general gauges of information processing capacity and, therefore, as normative measures of brain health.
1000 Sacherschließung
lokal Dementia
lokal Computational neuroscience
lokal Schizophrenia
lokal Dynamical systems
lokal Network models
lokal Epilepsy
lokal Consciousness
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3164-125X|https://frl.publisso.de/adhoc/uri/SGlucmljaHMsIEhlcm1hbm4=|https://frl.publisso.de/adhoc/uri/U2l0dCwgSmFjb2JvIERpZWdv|https://frl.publisso.de/adhoc/uri/SGVpbnplLCBIYW5zLUpvY2hlbg==|https://orcid.org/0000-0003-1129-4799
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1000 Erstellt am 2021-07-19T10:14:52.797+0200
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1000 Zuletzt bearbeitet 2021-09-09T15:03:00.642+0200
1000 Objekt bearb. Thu Sep 09 15:02:50 CEST 2021
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  1. oai:frl.publisso.de:frl:6428563 |
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