Toward a cerebello-thalamo-cortical computational model of spinocerebellar ataxia. (May 2023)
- Record Type:
- Journal Article
- Title:
- Toward a cerebello-thalamo-cortical computational model of spinocerebellar ataxia. (May 2023)
- Main Title:
- Toward a cerebello-thalamo-cortical computational model of spinocerebellar ataxia
- Authors:
- Kumar, Gajendra
Ma, Chi Him Eddie - Abstract:
- Abstract: Computational neural network modelling is an emerging approach for optimization of drug treatment of neurological disorders and fine-tuning of rehabilitation strategies. In the current study, we constructed a cerebello-thalamo-cortical computational neural network model to simulate a mouse model of cerebellar ataxia ( pcd 5J mice) by manipulating cerebellar bursts through reduction of GABAergic inhibitory input. Cerebellar output neurons were projected to the thalamus and bidirectionally connected with the cortical network. Our results showed that reduction of inhibitory input in the cerebellum orchestrated the cortical local field potential (LFP) dynamics to generate specific motor outputs of oscillations of the theta, alpha, and beta bands in the computational model as well as in mouse motor cortical neurons. The therapeutic potential of deep brain stimulation (DBS) was tested in the computational model by increasing the sensory input to restore cortical output. Ataxia mice showed normalization of the motor cortex LFP after cerebellum DBS. We provide a novel approach to computational modelling to investigate the effect of DBS by mimicking cerebellar ataxia involving degeneration of Purkinje cells. Simulated neural activity coincides with findings from neural recordings of ataxia mice. Our computational model could thus represent cerebellar pathologies and provide insight into how to improve disease symptoms by restoring neuronal electrophysiological propertiesAbstract: Computational neural network modelling is an emerging approach for optimization of drug treatment of neurological disorders and fine-tuning of rehabilitation strategies. In the current study, we constructed a cerebello-thalamo-cortical computational neural network model to simulate a mouse model of cerebellar ataxia ( pcd 5J mice) by manipulating cerebellar bursts through reduction of GABAergic inhibitory input. Cerebellar output neurons were projected to the thalamus and bidirectionally connected with the cortical network. Our results showed that reduction of inhibitory input in the cerebellum orchestrated the cortical local field potential (LFP) dynamics to generate specific motor outputs of oscillations of the theta, alpha, and beta bands in the computational model as well as in mouse motor cortical neurons. The therapeutic potential of deep brain stimulation (DBS) was tested in the computational model by increasing the sensory input to restore cortical output. Ataxia mice showed normalization of the motor cortex LFP after cerebellum DBS. We provide a novel approach to computational modelling to investigate the effect of DBS by mimicking cerebellar ataxia involving degeneration of Purkinje cells. Simulated neural activity coincides with findings from neural recordings of ataxia mice. Our computational model could thus represent cerebellar pathologies and provide insight into how to improve disease symptoms by restoring neuronal electrophysiological properties using DBS. … (more)
- Is Part Of:
- Neural networks. Volume 162(2023)
- Journal:
- Neural networks
- Issue:
- Volume 162(2023)
- Issue Display:
- Volume 162, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 162
- Issue:
- 2023
- Issue Sort Value:
- 2023-0162-2023-0000
- Page Start:
- 541
- Page End:
- 556
- Publication Date:
- 2023-05
- Subjects:
- Computational model -- Cerebello-thalamo-cortical circuit -- Ataxia -- Purkinje cell -- Cerebellum -- Deep brain stimulation
Neural computers -- Periodicals
Neural networks (Computer science) -- Periodicals
Neural networks (Neurobiology) -- Periodicals
Nervous System -- Periodicals
Ordinateurs neuronaux -- Périodiques
Réseaux neuronaux (Informatique) -- Périodiques
Réseaux neuronaux (Neurobiologie) -- Périodiques
Neural computers
Neural networks (Computer science)
Neural networks (Neurobiology)
Periodicals
006.32 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08936080 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.neunet.2023.01.045 ↗
- Languages:
- English
- ISSNs:
- 0893-6080
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.280800
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