Evidence map›Paper›PMID 39373074›Full record

ArticleEpilepsia open2024

Locus coeruleus co-activation patterns at rest show higher state persistence in patients with dissociative seizures: A Pilot Study.

Samantha Weber, Johannes Jungilligens, Selma Aybek, Stoyan Popkirov

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Article in Epilepsia open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 authors.

Samantha WeberDepartment of Neurology, Psychosomatic Medicine Unit, Inselspital Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-2689-2938
Johannes JungilligensDepartment of Neurology, University Hospital Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0002-4846-8337
Selma AybekDepartment of Neurology, Psychosomatic Medicine Unit, Inselspital Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-7877-6760
Stoyan PopkirovDepartment of Neurology, University Hospital Essen, Essen, Germany.ORCID https://orcid.org/0000-0001-6168-0036

Funding

BMBF Advanced Clinician Scientist Programme UMEA2 01EO2104Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung PP00P3_176985University Hospital Inselspital Bern, SwitzerlandOpen Access funding enabled and organized by Projekt DEAL.
6 · The paper itself

Abstract

objectiveDissociative seizures are paroxysmal disruptions of awareness and behavioral control in the context of affective arousal. Alterations in stress-related endocrine function have been demonstrated, but the timescale of dissociation suggests that the central locus coeruleus (LC) noradrenergic system is likely pivotal. Here, we investigate whether LC activation at rest is associated with altered brain network dynamics.

methodsA preliminary co-activation pattern (CAP) analysis of resting-state functional magnetic resonance imaging (fMRI) in 14 patients with dissociative seizures and 14 healthy controls was performed by using the LC as a seeding region. The red nucleus served as a control condition. Entry rates, durations, and state transition probabilities of identified CAPs were calculated. Analyses were corrected for demographic, technical, and clinical confounders including depression and anxiety.

resultsThree LC-related CAPs were identified, with the dominant two showing inverse activations and deactivations of the default mode network and the attention networks, respectively. Analysis of transition probabilities between and within the three CAPs revealed higher state persistence in patients compared to healthy controls for both CAP2 SIGNIFICANCE: Higher state persistence of LC-CAPs in patients with dissociative seizures generates the novel hypothesis that arousal-related impairments of network switching might be a candidate neural mechanism of dissociation. PLAIN LANGUAGE SUMMARY: Dissociative seizures often arise during high affective arousal. The locus coeruleus is a brain structure involved in managing such acute arousal states. We investigated whether the activity of the locus coeruleus correlates with activity in other regions of the brain (which we refer to as "brain states"), and whether those brain states were different between patients with dissociative seizures and healthy controls. We found that patients tended to stay in certain locus coeruleus-dependent brain states instead of switching between them. This might be related to the loss of awareness and disruptions of brain functions ("dissociation") that patients experience during seizures.

Indexed as

Dissociative DisordersLocus CoeruleusMagnetic Resonance ImagingSeizuresAdultFemaleHumansMaleMiddle AgedPilot ProjectsRestYoung AdultCo‐activation patternconversion disordercouplingdynamic functional connectivityfunctional/dissociative seizureslocus coeruleusPNESpsychogenic nonepileptic seizures

Identifiers

PMID39373074
PMCPMC11633765

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.