Results 51 to 60 of about 134,791 (125)
Deep brain stimulation for movement disorder treatment: Exploring frequency-dependent efficacy in a computational network model [PDF]
arXiv, 2020 A large scale computational model of the basal ganglia (BG) network is proposed to describes movement disorder including deep brain stimulation (DBS). The model of this complex network considers four areas of the basal ganglia network: the subthalamic nucleus (STN) as target area of DBS, globus pallidus, both pars externa and pars interna (GPe-GPi ...
arxiv
A Computational Model of the Effects of Drug Addiction on Neural Population Dynamics [PDF]
arXiv, 2012 Reward processing and derangements thereof, such as drug addiction, involve the coordinated activity of many brain areas. Prior work has identified many behavioral, molecular biological and single neuron changes throughout the mesocorticolimbic system that reflect and drive addictive behavior.
arxiv
Antidepressant-like Effects of Neuropeptide SF (NPSF) [PDF]
World Journal of Research and Review (WJRR) ISSN:2455-3956,
Volume-4, Issue-5, May 2017 Pages 26-30, 2020 Neuropeptide SF (NPSF) is a member of RFamide neuropeptides that play diverse roles in central nervous system. Little is know about the effects of NPSF on brain functions. Antidepressant-like effect of NPSF was studied in modified mice FST. NPSF showed the antidepressant-like effects by decreasing the immobility time and increasing the climbing and ...
arxiv
Zeb2 is a negative regulator of midbrain dopaminergic axon growth and target innervation
Scientific Reports, 2017 Neural connectivity requires neuronal differentiation, axon growth, and precise target innervation. Midbrain dopaminergic neurons project via the nigrostriatal pathway to the striatum to regulate voluntary movement.
Shane V. Hegarty +6 more
doaj +1 more source
PLoS ONE, 2011 Direct cellular reprogramming is a powerful new tool for regenerative medicine. In efforts to understand and treat Parkinson's Disease (PD), which is marked by the degeneration of dopaminergic neurons in the midbrain, direct reprogramming provides a ...
Russell C Addis +5 more
doaj +1 more source
Reinforcement Learning in a Neurally Controlled Robot Using Dopamine Modulated STDP [PDF]
arXiv, 2015 Recent work has shown that dopamine-modulated STDP can solve many of the issues associated with reinforcement learning, such as the distal reward problem. Spiking neural networks provide a useful technique in implementing reinforcement learning in an embodied context as they can deal with continuous parameter spaces and as such are better at ...
arxiv
Journal of Neuroinflammation, 2012 Background The mechanisms of progressive dopaminergic neuronal loss in Parkinson’s disease (PD) remain poorly understood, largely due to the complex etiology and multifactorial nature of disease pathogenesis.
Gordon Richard +3 more
doaj +1 more source
Basic and Clinical Neuroscience, 2022 Introduction: The induction of human umbilical cord-derived mesenchymal stem cells (HUC-MSCs) toward dopaminergic neurons is a major challenge in tissue engineering and experimental and clinical treatments of various neurodegenerative diseases, including
Ardeshir Moayeri +9 more
doaj
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery [PDF]
arXiv, 2020 Parkinson's disease (PD) is a degenerative and progressive neurological condition. Early diagnosis can improve treatment for patients and is performed through dopaminergic imaging techniques like the SPECT DaTscan. In this study, we propose a machine learning model that accurately classifies any given DaTscan as having Parkinson's disease or not, in ...
arxiv
Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева, 2018 The frequency and expected mechanisms of comorbidity of hyperkinetic disorder with dyslasia, dyslexia, dysgraphia and dyscalculia are considered in the article.
R. F. Gasanov
doaj