Muscle function alterations in a Parkinson's disease animal model: Electromyographic recordings dataset

Autor: Ana L. Albarracín, Fernando D. Farfán

Publikováno v: Data in Brief, Vol 40, Iss , Pp 107712- (2022)

Parkinson's disease (PD) is currently diagnosed based on characteristic motor dysfunctions induced by the loss of dopaminergic neurons in the substantia nigra pars compacta [1,2]. The animal model most commonly used to reproduce PD-related motor defi

Externí odkaz: https://doaj.org/article/86c9954f30ed4cdd8e159c65f8cfcd40

Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers

Autor: Facundo Adrián Lucianna, Alvaro Gabriel Pizá, Jorge Humberto Soletta, Ana L. Albarracín, Fernando Daniel Farfan, Pablo Y. Teruya

Publikováno v: Medical & Biological Engineering & Computing. 59:1735-1749

Parkinson’s disease (PD) is a neurodegenerative disease currently diagnosed based on characteristic motor dysfunctions. The most common Parkinson’s disease animal model induces massive nigrostriatal degeneration by intracerebral infusion of 6-hyd

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c27e9240117ef58be83ae0ffd8f23b6
https://doi.org/10.1007/s11517-021-02400-3

Comparative study of extracellular recording methods for analysis of afferent sensory information: Empirical modeling, data analysis and interpretation

Autor: Facundo Adrián Lucianna, Cristina Soto-Sánchez, Eduardo Fernández, Jorge Humberto Soletta, Ana L. Albarracín, Fernando Daniel Farfan, Alvaro Gabriel Pizá

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

Background: Physiological studies of sensorial systems often require the acquisition and processing of data extracted from their multiple components to evaluate how the neural information changes in relation to the environment changes. In this work,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::151fdc0d6882c34d588725a9263a151d
https://www.sciencedirect.com/science/article/abs/pii/S0165027019300767

A simplified empirical modeling of electrophysiological activity in a bundle of myelinated nerve fibers

Autor: Facundo Adrián Lucianna, Ana L. Albarracín, Carmelo Jose Felice, Jorge Humberto Soletta, Fernando Daniel Farfan, Alvaro Gabriel Pizá

Publikováno v: IEEE Latin America Transactions. 14:3345-3350

In vivo or in vitro electrophysiological characterization is a standard procedure to know specific aspects of the sensory and motor fibers conduction. In this work we propose a simplified empirical modeling that can predict the electrical activity ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b37a62f86b1d7bdafcaf944637f2261b
https://doi.org/10.1109/tla.2016.7587640

Identification of Functionally Interconnected Neurons Using Factor Analysis

Autor: Alvaro Gabriel Pizá, Carmelo Jose Felice, Facundo Adrián Lucianna, Fernando Daniel Farfan, Jorge Humberto Soletta, Ana L. Albarracín

Publikováno v: Computational Intelligence and Neuroscience
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Computational Intelligence and Neuroscience, Vol 2017 (2017)

The advances in electrophysiological methods have allowed registering the joint activity of single neurons. Thus, studies on functional dynamics of complex-valued neural networks and its information processing mechanism have been conducted. Particula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5b9a8e5460d8089f024043b1bf1060e
https://pubmed.ncbi.nlm.nih.gov/28491091