Non-conductive vs. conductive cell membranes – a reassessment of this assumption when modeling cells under magnetic field stimulation
Notice bibliographique
Résumé
Experimental and modeling studies have shown that the amount of neuronal cell polarization by electric and magnetic stimulation is dependent on the stimulation parameters and the properties of the target neuronal tissue. This cell-field (i.e. directly applied or magnetically-induced electric field) interdependency determines the efficacy of a cellular response to electric and magnetic stimulation, such as during deep brain stimulation (DBS) or transcranial magnetic stimulation (TMS). To study this cell-field interaction, particularly when computing the amount of tissue polarization induced by an applied field, several modeling works assume a non-conductive cell membrane. This assumption is based on the fact that the membrane conductivity is several orders lower compared to that of the extracellular medium or cytoplasm. Although this assumption greatly simplifies the computation of the field-induced transmembrane potential, its impact on the dependency of the transmembrane potential to the stimulus parameters (i.e., field intensity and frequency, and its orientation to the target tissue), as well as to the tissue properties (electric and geometric), have not been addressed. We have previously computed the transmembrane potential induced by a low frequency magnetic field in a single cell model with a conductive membrane [ 1 ]. Here, we have extended this analysis to a cell model with a non-conductive membrane, and investigated the relationship between the transmembrane potential with that of the stimulus parameters and tissue properties under this assumption. 1. The assumption of a non-conductive membrane did not cause a noticeable difference in the transmembrane potential (both pattern and amplitude) as compared with a conductive membrane. 2. Similarly, this assumption did not compromise the linear relationship between the transmembrane potential and the intensity, frequency and cell-coil distance. 3. However, a non-conductive membrane changed the dependency of the transmembrane potential to geometrical tissue properties (i.e. cell radius and membrane thickness) from a nonlinear to linear relationship. 4. Furthermore, assuming the membrane to be non-conductive completely compromised the dependency of the transmembrane potential to electrical tissue properties. The transmembrane potential became insensitive to the conductivities in the extracellular medium and the cytoplasm, which is in disagreement with several experimental studies.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».