A modular brain-on-a-chip for modelling epileptic seizures with functionally connected human neuronal networks
Pelkonen, Anssi; Mzezewa, Ropafadzo; Sukki, Lassi; Ryynänen, Tomi; Kreutzer, Joose; Hyvärinen, Tanja; Vinogradov, Andrey; Aarnos, Laura; Lekkala, Jukka; Kallio, Pasi; Narkilahti, Susanna (2020)
Pelkonen, Anssi
Mzezewa, Ropafadzo
Sukki, Lassi
Ryynänen, Tomi
Kreutzer, Joose
Hyvärinen, Tanja
Vinogradov, Andrey
Aarnos, Laura
Lekkala, Jukka
Kallio, Pasi
Narkilahti, Susanna
2020
112553
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202011278273
https://urn.fi/URN:NBN:fi:tuni-202011278273
Kuvaus
Peer reviewed
Tiivistelmä
Epilepsies are a group of neurological disorders characterised by recurrent epileptic seizures. Seizures, defined as abnormal transient discharges of neuronal activity, can affect the entire brain circuitry or remain more focal in the specific brain regions and neuronal networks. Human pluripotent stem cell (hPSC)-derived neurons are a promising option for modelling epilepsies, but as such, they do not model groups of connected neuronal networks or focal seizures. Our solution is a Modular Platform for Epilepsy Modelling In Vitro (MEMO), a lab-on-chip device, in which three hPSC-derived networks are separated by a novel microfluidic cell culture device that allows controlled network-to-network axonal connections through microtunnels. In this study, we show that the neuronal networks formed a functional circuitry that was successfully cultured in MEMO for up to 98 days. The spontaneous neuronal network activities were monitored with an integrated custom-made microelectrode array (MEA). The networks developed spontaneous burst activity that was synchronous both within and between the axonally connected networks, i.e. mimicking both local and circuitry functionality of the brain. A convulsant, kainic acid, increased bursts only in the specifically treated networks. The activity reduction by an anticonvulsant, phenytoin, was also localised to treated networks. Therefore, modelling focal seizures in human neuronal networks is now possible with the developed chip.
Kokoelmat
- TUNICRIS-julkaisut [19879]