Mostrar el registro sencillo del ítem

dc.contributor.author
Gomez Tames, Jose  
dc.contributor.author
Fernandez Corazza, Mariano  
dc.date.available
2025-05-22T11:47:51Z  
dc.date.issued
2024-05  
dc.identifier.citation
Gomez Tames, Jose; Fernandez Corazza, Mariano; Perspectives on Optimized Transcranial Electrical Stimulation Based on Spatial Electric Field Modeling in Humans; MDPI; Journal of Clinical Medicine; 13; 11; 5-2024; 1-31  
dc.identifier.issn
2077-0383  
dc.identifier.uri
http://hdl.handle.net/11336/262278  
dc.description.abstract
Background: Transcranial electrical stimulation (tES) generates an electric field (or current density) in the brain through surface electrodes attached to the scalp. Clinical significance has been demon-strated, although with moderate and heterogeneous results partly due to a lack of control of the delivered electric currents. In the last decade, computational electric field analysis has allowed the estimation and optimization of the electric field using accurate anatomical head models. This review examines recent tES computational studies, providing a comprehensive background on the technical aspects of adopting computational electric field analysis as a standardized procedure in medical applications. Methods: Specific search strategies were designed to retrieve papers from the Web of Science database. The papers were initially screened based on the soundness of the title and abstract and then on their full contents, resulting in a total of 57 studies. Results: Recent trends were identified in individual- and population-level analysis of the electric field, including head models from non-neurotypical individuals. Advanced optimization techniques that allow a high degree of control with the required focality and direction of the electric field were also summarized. There is also growing evidence of a correlation between the computationally estimated electric field and the observed responses in real experiments. Conclusion: Computational pipelines and optimization algorithms have reached a degree of maturity that provides a rationale to improve tES experimental design and a posteriori analysis of the responses for supporting clinical studies  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
MDPI  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
tes  
dc.subject
tdcs  
dc.subject
tacs  
dc.subject
fem  
dc.subject
transcranial electrical stimulation  
dc.subject
electric field  
dc.subject
current density  
dc.subject
neurostimulation  
dc.subject
optimization  
dc.subject
brain template  
dc.subject
computational model  
dc.subject.classification
Ingeniería Médica  
dc.subject.classification
Ingeniería Médica  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Perspectives on Optimized Transcranial Electrical Stimulation Based on Spatial Electric Field Modeling in Humans  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2025-05-22T09:51:18Z  
dc.journal.volume
13  
dc.journal.number
11  
dc.journal.pagination
1-31  
dc.journal.pais
Suiza  
dc.description.fil
Fil: Gomez Tames, Jose. Chiba University; Japón  
dc.description.fil
Fil: Fernandez Corazza, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina  
dc.journal.title
Journal of Clinical Medicine  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2077-0383/13/11/3084  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/jcm13113084