Editing Seizure (section)

==Research==
Scientific work into the prediction of epileptic seizures began in the 1970s. Several techniques and methods have been proposed, but evidence regarding their usefulness is still lacking.<ref name=":2">{{cite journal | vauthors = Litt B, Echauz J | title = Prediction of epileptic seizures | journal = The Lancet. Neurology | volume = 1 | issue = 1 | pages = 22–30 | date = May 2002 | pmid = 12849542 | doi = 10.1016/S1474-4422(02)00003-0 | s2cid = 10109539 }}</ref>

Two promising areas include: (1) [[Gene therapy for epilepsy|gene therapy]],<ref name=":3">{{cite journal | vauthors = Walker MC, Schorge S, Kullmann DM, Wykes RC, Heeroma JH, Mantoan L | title = Gene therapy in status epilepticus | journal = Epilepsia | volume = 54 | issue = Suppl 6 | pages = 43–45 | date = September 2013 | pmid = 24001071 | doi = 10.1111/epi.12275 | s2cid = 13942394 | doi-access = free }}</ref> and (2) seizure detection and [[seizure prediction]].<ref name=":4">{{cite journal | vauthors = Mormann F, Andrzejak RG, Elger CE, Lehnertz K | title = Seizure prediction: the long and winding road | journal = Brain | volume = 130 | issue = Pt 2 | pages = 314–333 | date = February 2007 | pmid = 17008335 | doi = 10.1093/brain/awl241 | doi-access = free }}</ref>

Gene therapy for epilepsy consists of employing vectors to deliver pieces of genetic material to areas of the brain involved in seizure onset.<ref name=":3" />

Seizure prediction is a special case of seizure detection in which the developed systems are able to issue a warning before the clinical onset of the epileptic seizure.<ref name=":2" /><ref name=":4" />

Computational neuroscience has been able to bring a new point of view on the seizures by considering the dynamical aspects.<ref name="Depannemaecker 4–8">{{cite journal |vauthors=Depannemaecker D, Destexhe A, Jirsa V, Bernard C |date=August 2021 |title=Modeling seizures: From single neurons to networks |journal=Seizure |language=English |volume=90 |pages=4–8 |doi=10.1016/j.seizure.2021.06.015 |pmid=34219016 |s2cid=235468072 |doi-access=free}}</ref>