Like a network researcher

With further study, this regulatory network might be a more efficient target for epilepsy therapies, including implantable stimulation devices that will help quiet a localized seizure before it spreads through the brain.
The research was brought by Danielle Bassett, Eduardo D. Glandt Faculty Fellow and affiliate professor within the Department of Bioengineering within the School of Engineering and Applied Science, John Litt, professor of neurology and neurosurgery in Penn's Perelman Med school as well as bioengineering in Engineering and director from the Penn Epilepsy Center, and Ankit Khambhati, Bassett's postdoctoral fellow along with a recent graduate from the Litt Lab. Medicine's Kathryn Davis, assistant professor of neurology, and Timothy Lucas, assistant professor of neurosurgery and co-director from the Penn Center for Neuroengineering and Therapeutics, also led to the job
Like a network researcher, Bassett studies the way the interconnections between people of the group influence the behaviour from the whole. Searching at epilepsy using that lens, she, Litt, and Khambhati created a computer type of seizure systems according to brain tracks from Penn's epilepsy patients. An early on study by using their model demonstrated the algorithms within the model can predict whereby the mind a seizure will originate and which categories of neurons it'll likely spread to because it grows.
Within their new study, they aimed to know how focal seizures, that are restricted to only an element of the brain, become general seizures, which spread all through the mind and therefore are therefore more harmful and debilitating.
"For those who have epilepsy, there are a variety of regions of the mind which are really damaged -- this is the seizure-generating network," Bassett stated. "Our hypothesis was that there's another regulatory network that's usually in a position to quiet the seizure, as well as for people whose seizures generalize, that regulatory network can also be damaged."