Functional brain network characteristics are associated with epilepsy severity in childhood absence epilepsy
| Autor: | Floor Fasen, Sylvia Klinkenberg, Albert P. Aldenkamp, Gerhard S. Drenthen, Jos G.M. Hendriksen, R. Jeroen Vermeulen, Mariette H. J. A. Debeij-van Hall, Eric L. A. Fonseca Wald, Jacobus F.A. Jansen, Walter H. Backes |
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| Přispěvatelé: | Beeldvorming, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Klinische Neurowetenschappen, MUMC+: DA BV Klinisch Fysicus (9), MUMC+: MA Med Staf Spec Neurologie (9), Electrical Engineering, Center for Care & Cure Technology Eindhoven, Signal Processing Systems, EAISI Health |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
medicine.medical_specialty Cognitive Neuroscience CHILDREN ILAE COMMISSION Audiology lcsh:Computer applications to medicine. Medical informatics 050105 experimental psychology lcsh:RC346-429 CLASSIFICATION 03 medical and health sciences Epilepsy Cognition 0302 clinical medicine Childhood absence epilepsy CONNECTIVITY Seizures medicine Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Effects of sleep deprivation on cognitive performance Child Cognitive performance lcsh:Neurology. Diseases of the nervous system Clustering coefficient Functional mri Resting state fMRI business.industry 05 social sciences Brain Regular Article IMPAIRMENT medicine.disease Magnetic Resonance Imaging Graph theory Absence seizure Epilepsy Absence Neurology lcsh:R858-859.7 Female Network analysis Neurology (clinical) Nerve Net business Neurocognitive 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage: Clinical, 27:102264. ELSEVIER SCI LTD NeuroImage: Clinical, 27:102264. Elsevier NeuroImage: Clinical, Vol 27, Iss, Pp 102264-(2020) NeuroImage : Clinical |
| ISSN: | 2213-1582 |
| Popis: | Highlights • The functional network of children with childhood absence epilepsy is less efficiently organized in terms of clustering and small-worldness. • Longer path lengths (i.e. less efficient organization) of the functional network relate to a longer duration of childhood absence epilepsy. • Longer path lengths of the functional network relate to a higher seizure frequency in childhood absence epilepsy. While cognitive impairments are not generally considered to be part of the childhood absence epilepsy (CAE) syndrome, some recent studies report cognitive, mainly attentional, deficits. Here we set out to investigate the whole brain functional network of children with CAE and controls. Furthermore, the possible relation of the functional network abnormalities with epilepsy and neurocognitive characteristics is studied. Seventeen children with childhood CAE (aged 9.2 ± 2.1 years) and 15 controls (aged 9.8 ± 1.8 years) were included. Resting state functional MRI was acquired to study the functional network. Using graph theoretical analysis, three global metrics of the functional network were investigated: the characteristic path length, the clustering coefficient, and the small-worldness. A multivariable linear regression model including age, sex, and subject motion as covariates was used to investigate group differences in the graph metrics. Subsequently, relations of the graph metrics with epilepsy and neurocognitive characteristics were assessed. Longer path lengths, weaker clustering and a lower small-world network topology were observed in children with CAE compared to controls. Moreover, longer path lengths were related to a longer duration of CAE and a higher number of absence seizure per hour. Clustering and small-worldness were not significantly related to epilepsy or neurocognitive characteristics. The organization of the functional network of children with CAE is less efficient compared to controls, and is related to disease duration. These preliminary findings suggest that CAE is associated with alterations in the functional network. |
| Databáze: | OpenAIRE |
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