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
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