Loss of network efficiency associated with cognitive decline in chronic epilepsy. Vlooswijk, M. C., Vaessen, M. J., Jansen, J. F., de Krom, M. C., Majoie, H. J., Hofman, P. A., Aldenkamp, A. P., & Backes, W. H. Neurology, 77(10):938-44, 2011. Vlooswijk, M C G Vaessen, M J Jansen, J F A de Krom, M C F T M Majoie, H J M Hofman, P A M Aldenkamp, A P Backes, W H eng Comparative Study Research Support, Non-U.S. Gov't 2011/08/13 06:00 Neurology. 2011 Sep 6;77(10):938-44. doi: 10.1212/WNL.0b013e31822cfc2f. Epub 2011 Aug 10.
Paper doi abstract bibtex OBJECTIVE: To study the relation between possibly altered whole brain topology and intellectual decline in chronic epilepsy, a combined study of neurocognitive assessment and graph theoretical network analysis of fMRI was performed. METHODS: Forty-one adult patients with cryptogenic localization-related epilepsy and 23 healthy controls underwent an intelligence test and fMRI with a silent-word generation paradigm. A set of undirected graphs was constructed by cross-correlating the signal time series of 893 cortical and subcortical regions. Possible changes in cerebral network efficiency were assessed by performing graph theoretical network analysis. RESULTS: Healthy subjects displayed efficient small world properties, characterized by high clustering and short path lengths. On the contrary, in patients with epilepsy a disruption of both local segregation and global integration was found. An association of more pronounced intellectual decline with more disturbed local segregation was observed in the patient group. The effect of antiepileptic drug use on cognitive decline was mediated by decreased clustering. CONCLUSIONS: These findings support the hypothesis that chronic localization-related epilepsy causes cognitive deficits by inducing global cerebral network changes instead of a localized disruption only. Whether this is the result of epilepsy per se or the use of antiepileptic drugs remains to be elucidated. For application in clinical practice, future studies should address the relevance of altered cerebral network topology in prediction of cognitive deficits and monitoring of therapeutic interventions.
@article{RN147,
author = {Vlooswijk, M. C. and Vaessen, M. J. and Jansen, J. F. and de Krom, M. C. and Majoie, H. J. and Hofman, P. A. and Aldenkamp, A. P. and Backes, W. H.},
title = {Loss of network efficiency associated with cognitive decline in chronic epilepsy},
journal = {Neurology},
volume = {77},
number = {10},
pages = {938-44},
note = {Vlooswijk, M C G
Vaessen, M J
Jansen, J F A
de Krom, M C F T M
Majoie, H J M
Hofman, P A M
Aldenkamp, A P
Backes, W H
eng
Comparative Study
Research Support, Non-U.S. Gov't
2011/08/13 06:00
Neurology. 2011 Sep 6;77(10):938-44. doi: 10.1212/WNL.0b013e31822cfc2f. Epub 2011 Aug 10.},
abstract = {OBJECTIVE: To study the relation between possibly altered whole brain topology and intellectual decline in chronic epilepsy, a combined study of neurocognitive assessment and graph theoretical network analysis of fMRI was performed. METHODS: Forty-one adult patients with cryptogenic localization-related epilepsy and 23 healthy controls underwent an intelligence test and fMRI with a silent-word generation paradigm. A set of undirected graphs was constructed by cross-correlating the signal time series of 893 cortical and subcortical regions. Possible changes in cerebral network efficiency were assessed by performing graph theoretical network analysis. RESULTS: Healthy subjects displayed efficient small world properties, characterized by high clustering and short path lengths. On the contrary, in patients with epilepsy a disruption of both local segregation and global integration was found. An association of more pronounced intellectual decline with more disturbed local segregation was observed in the patient group. The effect of antiepileptic drug use on cognitive decline was mediated by decreased clustering. CONCLUSIONS: These findings support the hypothesis that chronic localization-related epilepsy causes cognitive deficits by inducing global cerebral network changes instead of a localized disruption only. Whether this is the result of epilepsy per se or the use of antiepileptic drugs remains to be elucidated. For application in clinical practice, future studies should address the relevance of altered cerebral network topology in prediction of cognitive deficits and monitoring of therapeutic interventions.},
keywords = {Adolescent
Adult
Anticonvulsants/adverse effects/therapeutic use
Chronic Disease
Cognition Disorders/chemically induced/*physiopathology/*psychology
Epilepsies, Partial/drug therapy/*physiopathology/*psychology
Female
Humans
*Intelligence Tests
Magnetic Resonance Imaging/methods
Male
Middle Aged
Nerve Net/drug effects/*physiopathology
Young Adult},
ISSN = {1526-632X (Electronic)
0028-3878 (Linking)},
DOI = {10.1212/WNL.0b013e31822cfc2f},
url = {http://www.ncbi.nlm.nih.gov/pubmed/21832213
https://n.neurology.org/content/77/10/938.long},
year = {2011},
type = {Journal Article}
}
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An association of more pronounced intellectual decline with more disturbed local segregation was observed in the patient group. The effect of antiepileptic drug use on cognitive decline was mediated by decreased clustering. CONCLUSIONS: These findings support the hypothesis that chronic localization-related epilepsy causes cognitive deficits by inducing global cerebral network changes instead of a localized disruption only. Whether this is the result of epilepsy per se or the use of antiepileptic drugs remains to be elucidated. 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H.},\n title = {Loss of network efficiency associated with cognitive decline in chronic epilepsy},\n journal = {Neurology},\n volume = {77},\n number = {10},\n pages = {938-44},\n note = {Vlooswijk, M C G\nVaessen, M J\nJansen, J F A\nde Krom, M C F T M\nMajoie, H J M\nHofman, P A M\nAldenkamp, A P\nBackes, W H\neng\nComparative Study\nResearch Support, Non-U.S. Gov't\n2011/08/13 06:00\nNeurology. 2011 Sep 6;77(10):938-44. doi: 10.1212/WNL.0b013e31822cfc2f. Epub 2011 Aug 10.},\n abstract = {OBJECTIVE: To study the relation between possibly altered whole brain topology and intellectual decline in chronic epilepsy, a combined study of neurocognitive assessment and graph theoretical network analysis of fMRI was performed. METHODS: Forty-one adult patients with cryptogenic localization-related epilepsy and 23 healthy controls underwent an intelligence test and fMRI with a silent-word generation paradigm. 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