Literature DB >> 25492633

Brain Graph Topology Changes Associated with Anti-Epileptic Drug Use.

Zulfi Haneef1,2, Harvey S Levin3, Sharon Chiang4.   

Abstract

Neuroimaging studies of functional connectivity using graph theory have furthered our understanding of the network structure in temporal lobe epilepsy (TLE). Brain network effects of anti-epileptic drugs could influence such studies, but have not been systematically studied. Resting-state functional MRI was analyzed in 25 patients with TLE using graph theory analysis. Patients were divided into two groups based on anti-epileptic medication use: those taking carbamazepine/oxcarbazepine (CBZ/OXC) (n=9) and those not taking CBZ/OXC (n=16) as a part of their medication regimen. The following graph topology metrics were analyzed: global efficiency, betweenness centrality (BC), clustering coefficient, and small-world index. Multiple linear regression was used to examine the association of CBZ/OXC with graph topology. The two groups did not differ from each other based on epilepsy characteristics. Use of CBZ/OXC was associated with a lower BC. Longer epilepsy duration was also associated with a lower BC. These findings can inform graph theory-based studies in patients with TLE. The changes observed are discussed in relation to the anti-epileptic mechanism of action and adverse effects of CBZ/OXC.

Entities:  

Keywords:  anti-epileptic drugs; betweenness centrality; carbamazepine; clustering coefficient; global efficiency; graph theory; small-world index; temporal lobe epilepsy

Mesh:

Substances:

Year:  2015        PMID: 25492633      PMCID: PMC4490704          DOI: 10.1089/brain.2014.0304

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


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