@article{RN250,
   author = {Drenthen, G. S. and Fasen, F. and Fonseca Wald, E. L. A. and Backes, W. H. and Aldenkamp, A. P. and Vermeulen, R. J. and Debeij-van Hall, M. and Hendriksen, J. and Klinkenberg, S. and Jansen, J. F. A.},
   title = {Functional brain network characteristics are associated with epilepsy severity in childhood absence epilepsy},
   journal = {Neuroimage Clin},
   volume = {27},
   pages = {102264},
   note = {Drenthen, Gerhard S
Fasen, Floor
Fonseca Wald, Eric L A
Backes, Walter H
Aldenkamp, Albert P
Vermeulen, R Jeroen
Debeij-van Hall, Mariette
Hendriksen, Jos
Klinkenberg, Sylvia
Jansen, Jacobus F A
eng
Netherlands
2020/05/11 06:00
Neuroimage Clin. 2020 Apr 23;27:102264. doi: 10.1016/j.nicl.2020.102264.},
   abstract = {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.},
   keywords = {Cognitive performance
Functional mri
Graph theory
Network analysis
Seizures},
   ISSN = {2213-1582 (Electronic)
2213-1582 (Linking)},
   DOI = {10.1016/j.nicl.2020.102264},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/32387851
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210592/pdf/main.pdf},
   year = {2020},
   type = {Journal Article}
}

{"_id":"u2RQXySzn6mpFYWiq","bibbaseid":"drenthen-fasen-fonsecawald-backes-aldenkamp-vermeulen-debeijvanhall-hendriksen-etal-functionalbrainnetworkcharacteristicsareassociatedwithepilepsyseverityinchildhoodabsenceepilepsy-2020","authorIDs":["9uYiZAT4SGYEdwuhG","CHX5tw5dNmS7tFMt9","DoNKbgB55xkR6SehT","FEbMpouv9cRyJBZv3","GtL5d4iFpEuoJacN7","Jeci2sNzJiMSDeJvc","QqoDaykDZWJd9YuAu","TEAWLnKpXtQE8hs6C","dR2ye6bifAsonnNMz","eJ9fizm2KNxBgiNfF","hGdeHv63Gb3m6CybW","hShritfXo7Lzr2RkJ","jDvmx9aE5aohaf7P7","rQrciQZhPyL9ovwM8","zTR82AHQxLXLWt4wi"],"author_short":["Drenthen, G. S.","Fasen, F.","Fonseca Wald, E. L. A.","Backes, W. H.","Aldenkamp, A. P.","Vermeulen, R. J.","Debeij-van Hall, M.","Hendriksen, J.","Klinkenberg, S.","Jansen, J. F. A."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Drenthen"],"firstnames":["G.","S."],"suffixes":[]},{"propositions":[],"lastnames":["Fasen"],"firstnames":["F."],"suffixes":[]},{"propositions":[],"lastnames":["Fonseca","Wald"],"firstnames":["E.","L.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":[],"lastnames":["Aldenkamp"],"firstnames":["A.","P."],"suffixes":[]},{"propositions":[],"lastnames":["Vermeulen"],"firstnames":["R.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Debeij-van","Hall"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Hendriksen"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Klinkenberg"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F.","A."],"suffixes":[]}],"title":"Functional brain network characteristics are associated with epilepsy severity in childhood absence epilepsy","journal":"Neuroimage Clin","volume":"27","pages":"102264","note":"Drenthen, Gerhard S Fasen, Floor Fonseca Wald, Eric L A Backes, Walter H Aldenkamp, Albert P Vermeulen, R Jeroen Debeij-van Hall, Mariette Hendriksen, Jos Klinkenberg, Sylvia Jansen, Jacobus F A eng Netherlands 2020/05/11 06:00 Neuroimage Clin. 2020 Apr 23;27:102264. doi: 10.1016/j.nicl.2020.102264.","abstract":"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.","keywords":"Cognitive performance Functional mri Graph theory Network analysis Seizures","issn":"2213-1582 (Electronic) 2213-1582 (Linking)","doi":"10.1016/j.nicl.2020.102264","url":"http://www.ncbi.nlm.nih.gov/pubmed/32387851 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210592/pdf/main.pdf","year":"2020","bibtex":"@article{RN250,\n author = {Drenthen, G. S. and Fasen, F. and Fonseca Wald, E. L. A. and Backes, W. H. and Aldenkamp, A. P. and Vermeulen, R. J. and Debeij-van Hall, M. and Hendriksen, J. and Klinkenberg, S. and Jansen, J. F. A.},\n title = {Functional brain network characteristics are associated with epilepsy severity in childhood absence epilepsy},\n journal = {Neuroimage Clin},\n volume = {27},\n pages = {102264},\n note = {Drenthen, Gerhard S\nFasen, Floor\nFonseca Wald, Eric L A\nBackes, Walter H\nAldenkamp, Albert P\nVermeulen, R Jeroen\nDebeij-van Hall, Mariette\nHendriksen, Jos\nKlinkenberg, Sylvia\nJansen, Jacobus F A\neng\nNetherlands\n2020/05/11 06:00\nNeuroimage Clin. 2020 Apr 23;27:102264. doi: 10.1016/j.nicl.2020.102264.},\n abstract = {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. 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