Grant: Joint Canada-Israel Health Research Program
McGill University
$0.00
Selective real-time monitoring of diverse neuronal types in the brain
EF 2017-18
Résumé
The human brain is composed of billions of neurons that emit unitary electrical signals called action potentials or "spikes". Spikes can be detected with electrodes implanted in the brain, opening a window to observe the neuronal basis of mental activity and on the dysfunctioning neuronal processes underlying diseases such as epilepsy. The brain is composed of different types of neurons, defined by morphology, connectivity and genetic expression. In particular, neurons of the mammalian cortex can be sub-divided into two broad classes: excitatory and inhibitory. Excitatory cells integrate information from multiple local and remote sources, distribute information to local targets, convey messages across regions of the nervous system, and form a fairly uniform class of cells. In contrast, inhibitory neurons are more diverse and perform multiple tasks in neuronal networks: they control the input and output of the circuits, influence mutual activity, pace neuronal rhythms, and orchestrate the communication between brain areas. Alteration in the function of inhibitory cell networks can lead to debilitating neurological disorders, such as observed in epilepsy.
Using cutting-edge tools in electrophysiology, optics, genetics, and signal processing, we will characterize the distinct electrical signatures of different cell types, detect, identify, and classify their spiking activity in real-time. This project will lay the ground for the understanding of how neuronal networks operate in healthy brains, and how they are affected in neurological disorders. It will also enable the development of the next generation of closed-loop research and therapeutic tools, in which intervention will be conditioned on the immediate detection of pathological brain signals.
Programme
Joint Canada-Israel Health Research Program
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
379145
Name
Peyrache Adrien
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Joint Canada-Israel Health Research Program
Projecttitle
Selective real-time monitoring of diverse neuronal types in the brain
Programtype2
Operating Grants
Orgnameinp2
McGill University
Cihramount2
$0
Cihrequipment2
$0
Programname2
Joint Canada-Israel Health Research Program
Keyworddelim
Cognition; Electrophysiology; Neuronal Cell Types; Neuronal Dynamics; Neurophysiology; Spike Sorting
Abstract
The human brain is composed of billions of neurons that emit unitary electrical signals called action potentials or "spikes". Spikes can be detected with electrodes implanted in the brain, opening a window to observe the neuronal basis of mental activity and on the dysfunctioning neuronal processes underlying diseases such as epilepsy. The brain is composed of different types of neurons, defined by morphology, connectivity and genetic expression. In particular, neurons of the mammalian cortex can be sub-divided into two broad classes: excitatory and inhibitory. Excitatory cells integrate information from multiple local and remote sources, distribute information to local targets, convey messages across regions of the nervous system, and form a fairly uniform class of cells. In contrast, inhibitory neurons are more diverse and perform multiple tasks in neuronal networks: they control the input and output of the circuits, influence mutual activity, pace neuronal rhythms, and orchestrate the communication between brain areas. Alteration in the function of inhibitory cell networks can lead to debilitating neurological disorders, such as observed in epilepsy.
Using cutting-edge tools in electrophysiology, optics, genetics, and signal processing, we will characterize the distinct electrical signatures of different cell types, detect, identify, and classify their spiking activity in real-time. This project will lay the ground for the understanding of how neuronal networks operate in healthy brains, and how they are affected in neurological disorders. It will also enable the development of the next generation of closed-loop research and therapeutic tools, in which intervention will be conditioned on the immediate detection of pathological brain signals.
Competitiondate
201802
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Peyrache, Adrien; Stark, Eran
Approvedterm
3 ans 0 mois