Reduced resilience of brain state transitions in anti-N-methyl-D-aspartate receptor encephalitis

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dc.catalogadorpau
dc.contributor.authorSchwanenflug, Nina von
dc.contributor.authorRamírez Mahaluf, Juan Pablo
dc.contributor.authorKrohn, Stephan
dc.contributor.authorRomanello, Amy
dc.contributor.authorHeine, Josephine
dc.contributor.authorPrüss, Herald
dc.contributor.authorCrossley, Nicolás A.
dc.contributor.authorCarsten, Finke
dc.date.accessioned2024-06-09T00:57:50Z
dc.date.available2024-06-09T00:57:50Z
dc.date.issued2023
dc.description.abstractPatients with anti-N-methyl-aspartate receptor (NMDA) receptor encephalitis suffer from a severe neuropsychiatric syndrome, yet most patients show no abnormalities in routine magnetic resonance imaging. In contrast, advanced neuroimaging studies have consistently identified disrupted functional connectivity in these patients, with recent work suggesting increased volatility of functional state dynamics. Here, we investigate these network dynamics through the spatiotemporal trajectory of meta-state transitions, yielding a time-resolved account of brain state exploration in anti-NMDA receptor encephalitis. To this end, resting-state functional magnetic resonance imaging data were acquired in 73 patients with anti-NMDA receptor encephalitis and 73 age- and sex-matched healthy controls. Time-resolved functional connectivity was clustered into brain meta-states, giving rise to a time-resolved transition network graph with states as nodes and transitions between brain meta-states as weighted, directed edges. Network topology, robustness and transition cost of these transition networks were compared between groups. Transition networks of patients showed significantly lower local efficiency (t = ?2.41, pFDR =.029), lower robustness (t = ?2.01, pFDR =.048) and higher leap size (t = 2.18, pFDR =.037) compared with controls. Furthermore, the ratio of within-to-between module transitions and state similarity was significantly lower in patients. Importantly, alterations of brain state transitions correlated with disease severity. Together, these findings reveal systematic alterations of transition networks in patients, suggesting that anti-NMDA receptor encephalitis is characterized by reduced stability of brain state transitions and that this reduced resilience of transition networks plays a clinically relevant role in the manifestation of the disease.
dc.description.funderCusanuswerk
dc.description.funderDeutsches Ministerium für Bildung und Forschung
dc.description.funderDeutsche Forschungsgemeinschaft
dc.description.funderGerman Ministry of Education and Research
dc.description.funderFondecyt
dc.description.funderHelmholtz Association
dc.description.funderANID-Chile #1200601, #3190311, #ACT192064
dc.fechaingreso.objetodigital2024-06-09
dc.identifier.doi10.1111/ejn.15901
dc.identifier.eissn1460-9568
dc.identifier.issn0953-816X
dc.identifier.pubmedid36514280
dc.identifier.scopusidSCOPUS_ID:85146182567
dc.identifier.urihttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1460-9568
dc.identifier.urihttps://doi.org/10.1111/ejn.15901
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86647
dc.information.autorucEscuela de Medicina;Ramírez Mahaluf, Juan Pablo; 0000-0002-0821-1174; 17132
dc.information.autorucEscuela de Medicina;Crossley Karmelic, Nicolas Andrés; 0000-0002-3060-656X; 11224
dc.issue.numero3
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final579
dc.pagina.inicio568
dc.publisherJohn Wiley and Sons Inc
dc.revistaEuropean Journal of Neuroscience
dc.rightsacceso abierto
dc.rights.licenseCC BY NC Attribution-NonComercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectautoimmune encephalitis
dc.subjectfunctional brain states
dc.subjectfunctional connectivity dynamics
dc.subjectgraph analysis
dc.subjecttransition trajectories
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleReduced resilience of brain state transitions in anti-N-methyl-D-aspartate receptor encephalitis
dc.typeartículo
dc.volumen57
sipa.codpersvinculados17132
sipa.codpersvinculados11224
sipa.trazabilidadSCOPUS;02-03-2023
sipa.trazabilidadORCID;2024-06-03
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