image: Scientists have gained new insights into the mechanism by which lowering the temperature of specific brain regions could potentially treat epileptic seizures. view more
Credit: Soriano et al, partially adapted from https://commons.wikimedia.org/wiki/File:Fmrtuebersicht.jpg.
Using computer simulation techniques, scientists have gained new insights into the mechanism by which lowering the temperature of specific brain regions could potentially treat epileptic seizures. The results are published in PLOS Computational Biology.
About 50 million people worldwide deal with sudden, recurring seizures that are the hallmark of epilepsy. Treatment with medication or surgery does not work for some patients, so scientists have been investigating a potential alternative called focal cooling, in which a device would be implanted in the brain to suppress the electrical signals--discharges--that characterize epileptic seizures.
In the new study, Jaymar Soriano of Nara Institute of Science and Technology (NAIST), Japan, and colleagues, sought to better understand the mechanism by which focal cooling operates. So far, the technique has been tested only temporarily in epilepsy patients as intraoperative studies, while it has shown consistent success in rats. However, focal cooling sometimes slightly increases the frequency of epileptic discharges in rats, even while suppressing their strength.
To investigate how focal cooling suppresses epileptic discharges with possible increase in frequency, the research team took a computational approach. They employed a model of the rat brain that allowed them to simulate different mechanisms underlying the effects of a focal cooling device on epileptic discharges.
Using data from laboratory and rat studies, the researchers first simulated a mechanism by which focal cooling reduces activity at connections between neurons, resulting in less frequent discharges. However, with this mechanism alone, the model could not accurately reproduce electrical activity patterns previously observed in focal brain cooling experiments on rats with drug-induced epilepsy.
To compensate for the first mechanism, the researchers devised a second mechanism in which cooling resulted in discharges that were persistent but weaker. Incorporating both mechanisms into the model allowed the team to successfully reproduce results from previous rat experiments.
"Focal brain cooling could be an alternative treatment for epileptic seizures with lower risk of irreversible functional loss compared to surgery," says study co-author Takatomi Kubo. "Our study attempts to start an initiative on thermal neuromodulation of brain activity using a computational approach that can elucidate its mechanism and complement animal experiments and clinical tests."
Further investigation and laboratory studies could help the researchers refine their model and better understand the mechanisms that underpin focal cooling.
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J. Soriano is also a faculty member of the University of the Philippines under study leave completing his PhD in NAIST. Additional authors on the paper include Kazushi Ikeda with NAIST, Hiroyuki Kida, Takao Inoue, Michiyasu Suzuki with Yamaguchi University and Toshitaka Yamakawa with Kumamoto University.
In your coverage please use this URL to provide access to the freely available article in PLOS Computational Biology: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005736
Citation: Soriano J, Kubo T, Inoue T, Kida H, Yamakawa T, Suzuki M, et al. (2017) Differential temperature sensitivity of synaptic and firing processes in a neural mass model of epileptic discharges explains heterogeneous response of experimental epilepsy to focal brain cooling. PLoS Comput Biol 13(10): e1005736. https://doi.org/10.1371/journal.pcbi.1005736
Funding: This study was supported in part by grant 15H05719 from The Japan Society for the Promotion of Science. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
Journal
PLOS Computational Biology