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Comparison of electric field modeling pipelines for transcranial direct current stimulation
- Source :
- Neurophysiologie Clinique. 51:303-318
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Objectives Electric field modeling utilizes structural brain magnetic resonance images (MRI) to model the electric field induced by non-invasive transcranial direct current stimulation (tDCS) in a given individual. Electric field modeling is being integrated with clinical outcomes to improve understanding of inter-individual variability in tDCS effects and to optimize tDCS parameters, thereby enhancing the predictability of clinical effects. The successful integration of modeling in clinical use will primarily be driven by choice of tools and procedures implemented in computational modeling. Thus, the electric field predictions from different modeling pipelines need to be investigated to ensure the validity and reproducibility of tDCS modeling results across clinical or translational studies. Methods We used T1w structural MRI from 32 healthy volunteer subjects and modeled the electric field distribution for a fronto-temporal tDCS montage. For five different computational modeling pipelines, we quantitatively compared brain tissue segmentation and electric field predicted in whole-brain, brain tissues and target brain regions between the modeling pipelines. Results Our comparisons at various levels did not reveal any systematic trend with regards to similarity or dissimilarity of electric field predicted in brain tissues and target brain regions. The inconsistent trends in the predicted electric field indicate variation in the procedures, routines and algorithms used within and across the modeling pipelines. Conclusion Our results suggest that studies integrating electric field modeling and clinical outcomes of tDCS will highly depend upon the choice of the modeling pipelines and procedures. We propose that using these pipelines for further research and clinical applications should be subject to careful consideration, and indicate general recommendations.
- Subjects :
- Computer science
medicine.medical_treatment
Brain tissue
Transcranial Direct Current Stimulation
050105 experimental psychology
03 medical and health sciences
0302 clinical medicine
Physiology (medical)
Electric field
Healthy volunteers
medicine
Humans
0501 psychology and cognitive sciences
Brain magnetic resonance imaging
Segmentation
Simulation
Transcranial direct-current stimulation
05 social sciences
Brain
Reproducibility of Results
General Medicine
Magnetic Resonance Imaging
Pipeline transport
Neurology
Neurology (clinical)
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 09877053
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- Neurophysiologie Clinique
- Accession number :
- edsair.doi.dedup.....26e82573887b09e7ab5d12647949cdc6