High-Definition Transcranial Direct Current Stimulation Improves Delayed Memory in Alzheimer’s Disease Patients: A Pilot Study Using Computational Modeling to Optimize Electrode Position
Open accessAbstract
Background: The optimal stimulation parameters when using transcranial direct current stimulation (tDCS) to improve memory performance in patients with Alzheimer’s disease (AD) are lacking. In healthy individuals, inter-individual differences in brain anatomy significantly influence current distribution during tDCS, an effect that might be aggravated by variations in cortical atrophy in AD patients. Objective: To measure the effect of individualized HD-tDCS in AD patients. Methods: Nineteen AD patients were randomly assigned to receive active or sham high-definition tDCS (HD-tDCS). Computational modeling of the HD-tDCS-induced electric field in each patient’s brain was analyzed based on magnetic resonance imaging (MRI) scans. The chosen montage provided the highest net anodal electric field in the left dorsolateral prefrontal cortex (DLPFC). An accelerated HD-tDCS design was conducted (2 mA for 3×20 min) on two separate days. Pre- and post-intervention cognitive tests and T1 and T2-weighted MRI and diffusion tensor imaging data at baseline were analyzed. Results: Different montages were optimal for individual patients. The active HD-tDCS group improved significantly in delayed memory and MMSE performance compared to the sham group. Five participants in the active group had higher scores on delayed memory post HD-tDCS, four remained stable and one declined. The active HD-tDCS group had a significant positive correlation between fractional anisotropy in the anterior thalamic radiation and delayed memory score. Conclusion: HD-tDCS significantly improved delayed memory in AD. Our study can be regarded as a proof-of-concept attempt to increase tDCS efficacy. The present findings should be confirmed in larger samples.
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Computational modeling and graph-theoretical approaches can be applied to large-scale multimodal datasets to identify subnetworks of dysregulation that vary between individuals.
“Computational modeling and graph-theoretical approaches can be applied to these datasets to identify subnetworks of dysregulation that vary between individuals [176, 177].”
From Toward a Unified Framework in Molecular Neurobiology of Alzheimer’s Disease: Revisiting the Pathophysiological Hypotheses (2026) · cites this paper as [176]
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- Authors
- Rasmussen, I. D., Boayue, N. M., Mittner, M., Bystad, M., Grønli, O. K., Vangberg, T. R., Csifcsák, G., & Aslaksen, P. M.
- Affiliations
- University Hospital of North Norway (NO)
- UiT The Arctic University of Norway (NO)
- Corresponding author
- Rasmussen, Ingrid Daae
- ORCID
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2021-09-14
- Volume
- 83
- Issue
- 2
- Pages
- 753-769
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W3192288946
- Cited by
- 42
- References
- 8
- Citations by year
- 2026: 6 · 2025: 15 · 2024: 8 · 2023: 5 · 2022: 6 · 2021: 2
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- transcranial direct current stimulation, high-definition tDCS
- MeSH terms
- Alzheimer Disease, Brain, Computer Simulation, Electrodes, Female, Humans, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Pilot Projects, Prefrontal Cortex, Diffusion Tensor Imaging, Transcranial Direct Current Stimulation
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