Objective We compared personalized MRI-based simulations of multi-electrode tACS with simulations using a fixed, standardized setting computed on the MNI head model in patients with mild cognitive impairment (MCI), as well as in healthy older (HO) and younger (HY) participants. We questioned whether the distribution and strength of the induced electrical field would differ among these three groups. Methods Structural MRI scans were acquired from 149 participants, including 33 MCI patients, 58 HY, and 58 HO adults. A fixed selection of 6 electrode positions was used to define the optimal current to induce an electric field strength of 0.3 V/m in the target region, the left angular gyrus. The distribution of the electric field strength in the brain, including the target region, was calculated for the personalized and standardized simulation conditions. Results Personalized tACS simulations showed a significantly increased electric field strength in the target region compared to the standardized simulation in MCI patients, the former being closer to the desired electric field strength. No difference was found in healthy participants. Moreover, the standardized simulation significantly increased the current variability at the target region compared to personalized simulations in all groups, indicating a larger current spread. Conclusion This study demonstrates that personalized modelling of electric fields is essential for controlling anatomical differences, ensuring accurate dosing in target regions, and minimizing the spread of stimulation to other areas, especially in individuals with MCI. Significance Anatomical variations can significantly impact the electrical field strength induced by transcranial electrical stimulation (tACS) in the brain of MCI patients.
Publication scientifique
MRI-individualized, multi-electrode tACS enhances the induced electrical field strength in the targeted area of mild cognitive impairment patients
Autres publications de la plateforme
Causal disconnectomics of motion perception networks: insights from transcranial magnetic stimulation‐induced...
Boosting hemianopia recovery: the power of interareal cross-frequency brain stimulation
Return of the GEDAI: Unsupervised EEG Denoising based on Leadfield Filtering
Multivariate deep phenotyping reveals behavioral correlates of non-restorative sleep in 22q11.2...
EEG microstate D as psychosis-specific correlate in adolescents and young adults...
EEG correlates of egocentric and altercentric biases in forensic cases with...
Journal de publication
Auteurs:
Date de publication:
Plateforme:
Études récentes de la plateforme

Restaurer le mouvement après une paralysie

Comment les souvenirs évoluent-ils avec le temps ?










