@article{RN202,
   author = {van Veenendaal, T. M. and M., IJff D. and Aldenkamp, A. P. and Lazeron, R. H. C. and Hofman, P. A. M. and de Louw, A. J. A. and Backes, W. H. and Jansen, J. F. A.},
   title = {Chronic antiepileptic drug use and functional network efficiency: A functional magnetic resonance imaging study},
   journal = {World J Radiol},
   volume = {9},
   number = {6},
   pages = {287-294},
   note = {van Veenendaal, Tamar M
IJff, Dominique M
Aldenkamp, Albert P
Lazeron, Richard H C
Hofman, Paul A M
de Louw, Anton J A
Backes, Walter H
Jansen, Jacobus F A
eng
2017/07/19 06:00
World J Radiol. 2017 Jun 28;9(6):287-294. doi: 10.4329/wjr.v9.i6.287.},
   abstract = {AIM: To increase our insight in the neuronal mechanisms underlying cognitive side-effects of antiepileptic drug (AED) treatment. METHODS: The relation between functional magnetic resonance-acquired brain network measures, AED use, and cognitive function was investigated. Three groups of patients with epilepsy with a different risk profile for developing cognitive side effects were included: A "low risk" category (lamotrigine or levetiracetam, n = 16), an "intermediate risk" category (carbamazepine, oxcarbazepine, phenytoin, or valproate, n = 34) and a "high risk" category (topiramate, n = 5). Brain connectivity was assessed using resting state functional magnetic resonance imaging and graph theoretical network analysis. The Computerized Visual Searching Task was used to measure central information processing speed, a common cognitive side effect of AED treatment. RESULTS: Central information processing speed was lower in patients taking AEDs from the intermediate and high risk categories, compared with patients from the low risk category. The effect of risk category on global efficiency was significant (P < 0.05, ANCOVA), with a significantly higher global efficiency for patient from the low category compared with the high risk category (P < 0.05, post-hoc test). Risk category had no significant effect on the clustering coefficient (ANCOVA, P > 0.2). Also no significant associations between information processing speed and global efficiency or the clustering coefficient (linear regression analysis, P > 0.15) were observed. CONCLUSION: Only the four patients taking topiramate show aberrant network measures, suggesting that alterations in functional brain network organization may be only subtle and measureable in patients with more severe cognitive side effects.},
   keywords = {Antiepileptic drugs
Brain networks
Cognitive side effects
Functional magnetic resonance imaging
Graph analysis
Resting state
for this study.},
   ISSN = {1949-8470 (Print)
1949-8470 (Linking)},
   DOI = {10.4329/wjr.v9.i6.287},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/28717415
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491656/pdf/WJR-9-287.pdf},
   year = {2017},
   type = {Journal Article}
}

{"_id":"mWaeZKSDLDzX2oKWk","bibbaseid":"vanveenendaal-m-aldenkamp-lazeron-hofman-delouw-backes-jansen-chronicantiepilepticdruguseandfunctionalnetworkefficiencyafunctionalmagneticresonanceimagingstudy-2017","authorIDs":["9uYiZAT4SGYEdwuhG","CHX5tw5dNmS7tFMt9","DoNKbgB55xkR6SehT","FEbMpouv9cRyJBZv3","GtL5d4iFpEuoJacN7","Jeci2sNzJiMSDeJvc","QqoDaykDZWJd9YuAu","TEAWLnKpXtQE8hs6C","dR2ye6bifAsonnNMz","eJ9fizm2KNxBgiNfF","hGdeHv63Gb3m6CybW","hShritfXo7Lzr2RkJ","jDvmx9aE5aohaf7P7","rQrciQZhPyL9ovwM8","zTR82AHQxLXLWt4wi"],"author_short":["van Veenendaal, T. M.","M., I. D.","Aldenkamp, A. P.","Lazeron, R. H. C.","Hofman, P. A. M.","de Louw, A. J. A.","Backes, W. H.","Jansen, J. F. A."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":["van"],"lastnames":["Veenendaal"],"firstnames":["T.","M."],"suffixes":[]},{"propositions":[],"lastnames":["M."],"firstnames":["IJff","D."],"suffixes":[]},{"propositions":[],"lastnames":["Aldenkamp"],"firstnames":["A.","P."],"suffixes":[]},{"propositions":[],"lastnames":["Lazeron"],"firstnames":["R.","H.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Hofman"],"firstnames":["P.","A.","M."],"suffixes":[]},{"propositions":["de"],"lastnames":["Louw"],"firstnames":["A.","J.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F.","A."],"suffixes":[]}],"title":"Chronic antiepileptic drug use and functional network efficiency: A functional magnetic resonance imaging study","journal":"World J Radiol","volume":"9","number":"6","pages":"287-294","note":"van Veenendaal, Tamar M IJff, Dominique M Aldenkamp, Albert P Lazeron, Richard H C Hofman, Paul A M de Louw, Anton J A Backes, Walter H Jansen, Jacobus F A eng 2017/07/19 06:00 World J Radiol. 2017 Jun 28;9(6):287-294. doi: 10.4329/wjr.v9.i6.287.","abstract":"AIM: To increase our insight in the neuronal mechanisms underlying cognitive side-effects of antiepileptic drug (AED) treatment. METHODS: The relation between functional magnetic resonance-acquired brain network measures, AED use, and cognitive function was investigated. Three groups of patients with epilepsy with a different risk profile for developing cognitive side effects were included: A \"low risk\" category (lamotrigine or levetiracetam, n = 16), an \"intermediate risk\" category (carbamazepine, oxcarbazepine, phenytoin, or valproate, n = 34) and a \"high risk\" category (topiramate, n = 5). Brain connectivity was assessed using resting state functional magnetic resonance imaging and graph theoretical network analysis. The Computerized Visual Searching Task was used to measure central information processing speed, a common cognitive side effect of AED treatment. RESULTS: Central information processing speed was lower in patients taking AEDs from the intermediate and high risk categories, compared with patients from the low risk category. The effect of risk category on global efficiency was significant (P < 0.05, ANCOVA), with a significantly higher global efficiency for patient from the low category compared with the high risk category (P < 0.05, post-hoc test). Risk category had no significant effect on the clustering coefficient (ANCOVA, P > 0.2). Also no significant associations between information processing speed and global efficiency or the clustering coefficient (linear regression analysis, P > 0.15) were observed. CONCLUSION: Only the four patients taking topiramate show aberrant network measures, suggesting that alterations in functional brain network organization may be only subtle and measureable in patients with more severe cognitive side effects.","keywords":"Antiepileptic drugs Brain networks Cognitive side effects Functional magnetic resonance imaging Graph analysis Resting state for this study.","issn":"1949-8470 (Print) 1949-8470 (Linking)","doi":"10.4329/wjr.v9.i6.287","url":"http://www.ncbi.nlm.nih.gov/pubmed/28717415 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491656/pdf/WJR-9-287.pdf","year":"2017","bibtex":"@article{RN202,\n author = {van Veenendaal, T. M. and M., IJff D. and Aldenkamp, A. P. and Lazeron, R. H. C. and Hofman, P. A. M. and de Louw, A. J. A. and Backes, W. H. and Jansen, J. F. A.},\n title = {Chronic antiepileptic drug use and functional network efficiency: A functional magnetic resonance imaging study},\n journal = {World J Radiol},\n volume = {9},\n number = {6},\n pages = {287-294},\n note = {van Veenendaal, Tamar M\nIJff, Dominique M\nAldenkamp, Albert P\nLazeron, Richard H C\nHofman, Paul A M\nde Louw, Anton J A\nBackes, Walter H\nJansen, Jacobus F A\neng\n2017/07/19 06:00\nWorld J Radiol. 2017 Jun 28;9(6):287-294. doi: 10.4329/wjr.v9.i6.287.},\n abstract = {AIM: To increase our insight in the neuronal mechanisms underlying cognitive side-effects of antiepileptic drug (AED) treatment. METHODS: The relation between functional magnetic resonance-acquired brain network measures, AED use, and cognitive function was investigated. Three groups of patients with epilepsy with a different risk profile for developing cognitive side effects were included: A \"low risk\" category (lamotrigine or levetiracetam, n = 16), an \"intermediate risk\" category (carbamazepine, oxcarbazepine, phenytoin, or valproate, n = 34) and a \"high risk\" category (topiramate, n = 5). Brain connectivity was assessed using resting state functional magnetic resonance imaging and graph theoretical network analysis. The Computerized Visual Searching Task was used to measure central information processing speed, a common cognitive side effect of AED treatment. RESULTS: Central information processing speed was lower in patients taking AEDs from the intermediate and high risk categories, compared with patients from the low risk category. The effect of risk category on global efficiency was significant (P < 0.05, ANCOVA), with a significantly higher global efficiency for patient from the low category compared with the high risk category (P < 0.05, post-hoc test). Risk category had no significant effect on the clustering coefficient (ANCOVA, P > 0.2). Also no significant associations between information processing speed and global efficiency or the clustering coefficient (linear regression analysis, P > 0.15) were observed. CONCLUSION: Only the four patients taking topiramate show aberrant network measures, suggesting that alterations in functional brain network organization may be only subtle and measureable in patients with more severe cognitive side effects.},\n keywords = {Antiepileptic drugs\nBrain networks\nCognitive side effects\nFunctional magnetic resonance imaging\nGraph analysis\nResting state\nfor this study.},\n ISSN = {1949-8470 (Print)\n1949-8470 (Linking)},\n DOI = {10.4329/wjr.v9.i6.287},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/28717415\nhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491656/pdf/WJR-9-287.pdf},\n year = {2017},\n type = {Journal Article}\n}\n\n","author_short":["van Veenendaal, T. M.","M., I. D.","Aldenkamp, A. P.","Lazeron, R. H. C.","Hofman, P. A. M.","de Louw, A. J. A.","Backes, W. H.","Jansen, J. F. 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