Intracortical microstimulation can be successfully used to manipulate neuronal activity and connectivity, thus representing a potentially powerful tool to steer neuroplasticity occurring after brain injury. Activity-dependent stimulation (ADS), in which the spikes recorded from a single neuron are used to trigger stimulation at another cortical location, is able to potentiate cortical connections between distant brain areas. Here, we developed an experimental procedure and a computational pipeline aimed at investigating the ability of ADS to induce changes in intra-cortical activity of healthy anesthetized rats.

Neuroengineering Tools for Studying the Effect of Intracortical Microstimulation in Rodent Models / A. Averna, D. Guggenmos, V. Pasquale, M. Semprini, R. Nudo, M. Chiappalone (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY). - In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)[s.l] : IEEE, 2018. - ISBN 9781538636466. - pp. 3076-3079 (( Intervento presentato al 40. convegno Annual International Conference of the IEEE Engineering in Medicine and Biology Society tenutosi a Honolulu nel 2018 [10.1109/EMBC.2018.8512915].

Neuroengineering Tools for Studying the Effect of Intracortical Microstimulation in Rodent Models

A. Averna
Primo
;
2018

Abstract

Intracortical microstimulation can be successfully used to manipulate neuronal activity and connectivity, thus representing a potentially powerful tool to steer neuroplasticity occurring after brain injury. Activity-dependent stimulation (ADS), in which the spikes recorded from a single neuron are used to trigger stimulation at another cortical location, is able to potentiate cortical connections between distant brain areas. Here, we developed an experimental procedure and a computational pipeline aimed at investigating the ability of ADS to induce changes in intra-cortical activity of healthy anesthetized rats.
ICMS, ADS; Closed-Loop Stimulation; Plasticity
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
Settore MED/26 - Neurologia
2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/715400
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