DocumentCode :
2719814
Title :
Spatiotemporal network alterations in experimental focal cortical epilepsy: MRI-based longitudinal functional connectivity and weighted graph analysis
Author :
Otte, W.M. ; Dijkhuizen, R.M. ; Stam, C.J. ; van der Marel, K. ; van Meer, M.P.A. ; Viergever, M.A. ; Braun, K.P.J.
Author_Institution :
Med. Centre, Rudolf Magnus Inst. of Neurosci., Univ. of Utrecht, Utrecht, Netherlands
fYear :
2010
fDate :
14-17 April 2010
Firstpage :
888
Lastpage :
891
Abstract :
There is increasing evidence that the topology of brain networks may be changed in epilepsy. In particular, a random topology has been suggested as an explanation for lower seizure thresholds. To test this hypothesis, we assessed focal epileptic and healthy networks over time using resting state functional MRI and weighted graph theoretical analysis in a rat model. Brain networks in focal epilepsy were globally affected, toward a more ordered network topology. Networks largely normalized at ten weeks after epilepsy induction. Graph analysis provides a promising method to explore dynamical network alterations in epilepsy.
Keywords :
biomedical MRI; brain; graph theory; medical disorders; physiological models; spatiotemporal phenomena; MRI; brain network topology; focal cortical epilepsy; longitudinal functional connectivity; spatiotemporal network alterations; weighted graph analysis; Anesthesia; Animals; Biomedical imaging; Brain; Complex networks; Epilepsy; Magnetic resonance imaging; Network topology; Rats; Spatiotemporal phenomena; experimental focal epilepsy; graph theoretical analysis; longitudinal resting state functional MRI; rat brain; small-world networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2010.5490129
Filename :
5490129
Link To Document :
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