SOURCE-LINKED INTELLIGENCE

Activate Repair In StrokE

CORDIS · observation · Publication date unknown

after induction of multiple microstrokes in relation to the spatial memory of the animal. Using sophisticated closed-loop experiments, combining chronic 2photon imaging in-vivo with optogenetics and machine learning, I will characterize neuronal recoding in relation to the behavioural performance of the animal. I hypothesize that principles of learning are key to understand how surviving cells are recruited to participate in new neuronal ensembles to restore lost memory engrams. Using local light stimulation I will manipulate surviving neurons to unveil their role in rewiring network dynamics and repair processes and to enhance their engagement in restorative operations. With ARISE I will establish a novel experimental pipeline to identify the cellular mechanisms of neuronal repair that are linked to distinct behavioural outcome parameters. This approach will also allow me to train generalized linear models (GLMs) to assess the efficiency and predict the outcome of novel restorative therapies in stroke. Neuronal repair, stroke, vascular dementia, neuronal circuit rewiring, hippocam

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

1499979

unit

EUR