4.6 Article

Computational human head models of tDCS: Influence of brain atrophy on current density distribution

Journal

BRAIN STIMULATION
Volume 11, Issue 1, Pages 104-107

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.brs.2017.09.013

Keywords

Computational modeling; tDCS; Mild cognitive impairment; Finite element analysis; Brain atrophy; Aging

Funding

  1. Cognitive Sciences and Technologies Council [290]
  2. Alzheimer's Disease Neuroimaging Initiative (ADNI) [U01 AG024904]
  3. DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
  4. National Institute on Aging
  5. National Institute of Biomedical Imaging and Bioengineering
  6. AbbVie
  7. Alzheimer's Association
  8. Alzheimer's Drug Discovery Foundation
  9. Araclon Biotech
  10. BioClinica, Inc.
  11. Biogen
  12. Bristol-Myers Squibb Company
  13. CereSpir, Inc.
  14. Eisai Inc.
  15. Elan Pharmaceuticals, Inc.
  16. Eli Lilly and Company
  17. EuroImmun
  18. F. Hoffmann-La Roche Ltd
  19. Genentech, Inc.
  20. Fujirebio
  21. GE Healthcare
  22. IXICO Ltd.
  23. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  24. Johnson & Johnson Pharmaceutical Research & Development LLC.
  25. Lumosity
  26. Lundbeck
  27. Merck Co., Inc.
  28. Meso Scale Diagnostics, LLC.
  29. NeuroRx Research
  30. Neurotrack Technologies
  31. Novartis Pharmaceuticals Corporation
  32. Pfizer Inc.
  33. Piramal Imaging
  34. Servier
  35. Takeda Pharmaceutical Company
  36. Transition Therapeutics
  37. Canadian Institutes of Health Research

Ask authors/readers for more resources

Despite increasing attention to the application of transcranial Direct Current Stimulation (tDCS) for enhancing cognitive functions in subjects exposing to varying degree of cerebral atrophy such as Alzheimer's disease (AD), aging, and mild cognitive impairment (MCI), there is no general information for customizing stimulation protocol. Objective: The objective of this study is to examine how cerebral shrinkage associated with cognitive impairment and aging can perturb current density distribution through the brain. Methods: We constructed three high-resolution human head models representing young, elder, and MCI subjects and modeled two electrode configurations using rectangular electrodes. Results: Our results showed that decreasing gray matter volume in MCI, as well as aging, reduced the magnitude of the current density in the brain compared to the young model. Also, morphology alterations of the cerebral sulcus could shape the vectors of the current density to flow in the depth of cortical regions by cerebrospinal fluid. Conclusion: This study provides a framework for further advanced studies in establishing new methodologies or modifying stimulation parameters. (C) 2017 Elsevier Inc. All rights reserved.

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