Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale.
Nicolette DriscollRichard E RoschBrendan B MurphyArian AshourvanRamya VishnubhotlaOlivia O DickensAlan T Charlie JohnsonKathryn A DavisBrian LittDanielle S BassettHajime TakanoFlavia VitalePublished in: Communications biology (2021)
Neurological disorders such as epilepsy arise from disrupted brain networks. Our capacity to treat these disorders is limited by our inability to map these networks at sufficient temporal and spatial scales to target interventions. Current best techniques either sample broad areas at low temporal resolution (e.g. calcium imaging) or record from discrete regions at high temporal resolution (e.g. electrophysiology). This limitation hampers our ability to understand and intervene in aberrations of network dynamics. Here we present a technique to map the onset and spatiotemporal spread of acute epileptic seizures in vivo by simultaneously recording high bandwidth microelectrocorticography and calcium fluorescence using transparent graphene microelectrode arrays. We integrate dynamic data features from both modalities using non-negative matrix factorization to identify sequential spatiotemporal patterns of seizure onset and evolution, revealing how the temporal progression of ictal electrophysiology is linked to the spatial evolution of the recruited seizure core. This integrated analysis of multimodal data reveals otherwise hidden state transitions in the spatial and temporal progression of acute seizures. The techniques demonstrated here may enable future targeted therapeutic interventions and novel spatially embedded models of local circuit dynamics during seizure onset and evolution.
Keyphrases
- temporal lobe epilepsy
- liver failure
- single molecule
- physical activity
- electronic health record
- respiratory failure
- pain management
- big data
- cancer therapy
- room temperature
- drug delivery
- white matter
- dna methylation
- blood brain barrier
- multiple sclerosis
- hepatitis b virus
- photodynamic therapy
- subarachnoid hemorrhage
- deep learning