Addressing the sources of inter-subject variability in E-field parameters in anodal tDCS stimulation over motor cortical network.

Autor:	Franco-Rosado P; Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain.; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain.; Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain.; Departamento de Psicología Experimental, Universidad de Sevilla, Sevilla, Spain., Callejón MA; Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain.; Servicio de Otorrinolaringología, Hospital Universitario Virgen Macarena, Sevilla, Spain., Reina-Tosina J; Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain., Roa LM; Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain., Martin-Rodriguez JF; Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain.; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain.; Departamento de Psicología Experimental, Universidad de Sevilla, Sevilla, Spain., Mir P; Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain.; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain.; Departamento de Medicina, Facultad de Medicina, Universidad de Sevilla, Sevilla, Spain.
Jazyk:	angličtina
Zdroj:	Physics in medicine and biology [Phys Med Biol] 2024 Jul 11; Vol. 69 (14). Date of Electronic Publication: 2024 Jul 11.
DOI:	10.1088/1361-6560/ad5bb9
Abstrakt:	Objetive: . Although transcranial direct current stimulation constitutes a non-invasive neuromodulation technique with promising results in a great variety of applications, its clinical implementation is compromised by the high inter-subject variability reported. This study aims to analyze the inter-subject variability in electric fields (E-fields) over regions of the cortical motor network under two electrode montages: the classical C3Fp2 and an alternative P3F3, which confines more the E-field over this region. Approach. Computational models of the head of 98 healthy subjects were developed to simulate the E-field under both montages. E-field parameters such as magnitude, focality and orientation were calculated over three regions of interest (ROI): M1S1, supplementary motor area (SMA) and preSMA. The role of anatomical characteristics as a source of inter-subject variability on E-field parameters and individualized stimulation intensity were addressed using linear mixed-effect models. Main results. P3F3 showed a more confined E-field distribution over M1S1 than C3Fp2; the latter elicited higher E-fields over supplementary motor areas. Both montages showed high inter-subject variability, especially for the normal component over C3Fp2. Skin, bone and CSF ROI volumes showed a negative association with E-field magnitude irrespective of montage. Grey matter volume and montage were the main sources of variability for focality. The curvature of gyri was found to be significantly associated with the variability of normal E-fields. Significance. Computational modeling proves useful in the assessment of E-field variability. Our simulations predict significant differences in E-field magnitude and focality for C3Fp2 and P3F3. However, anatomical characteristics were also found to be significant sources of E-field variability irrespective of electrode montage. The normal E-field component better captured the individual variability and low rate of responder subjects observed in experimental studies. (© 2024 Institute of Physics and Engineering in Medicine.)
Databáze:	MEDLINE
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