预测癫痫发作或成为可能

While the causes of epileptic seizures²（癫痫发作） continue to confound（使混淆，挫败） brain researchers, scientists have been exploring how changes in the coordinated³（协调的） activity of brain networks, as monitored through electrodes, might help predict impending⁴（即将发生的） seizures. A report in the American Institute of Physics' journal CHAOS⁵ offers new insight into this possibility. Two properties are commonly used to measure fluctuations⁶（波动，起伏） in the activity of a brain network; one, known as L, relates to the overall connectedness between the activities of brain regions (or nodes), and the other, C, represents the probability that any two nodes are both interacting with a third node. Tracking changes in these variables, neuroscientists suspect, might offer a way to spot seizures in advance.

Most studies of complex brain networks have used only short-duration recordings⁷ of brain function, no more than a few minutes long. And, says physicist⁸ Marie-Therese Kuhnert -- a graduate student at the University of Bonn and first author of the CHAOS paper -- to really find seizure¹-predicting patterns, you need longer-term data.

Kuhnert and her colleagues, professors Christian⁹ Elger and Klaus Lehnertz, studied the brain recordings of 13 epilepsy patients undergoing pre-surgical evaluations¹⁰. The data -- representing, in all cases, days of continuous recordings and seizure activity -- did indeed show fluctuations in L and C, but the two measures were "strongly influenced by the daily rhythms of the patient, sleep–wake cycles, and alterations¹¹ of anticonvulsive（抗昏厥的） medication," Kuhnert says. Upcoming seizures and even seizures themselves had little effect.

Surprisingly, Kuhnert and her colleagues found much more regularization of brain network activity at night. Previously¹², such regularization has been seen in healthy individuals, but never in epilepsy patients. "It remains¹³ to be investigated whether the increased regularization at night is causally related to epilepsy, whether it requires some treatment, or whether it can be regarded as a seizure-preventing mechanism," she says.