Abstract
Cognitive deficits are a hallmark of Alzheimer’s disease (AD), and effective treatments remain elusive. Transcranial alternating current stimulation (tACS), a non-invasive technique, has shown potential in improving cognitive function across various populations, but further research is needed to investigate its efficacy in AD. In a randomized, double-blind, sham-controlled pilot trial, 36 mild AD patients received active or sham theta-tACS (8 Hz, 1.6 mA, 20-min daily) during n-back task for two weeks, followed by a 10-week follow-up. Cognitive assessments and resting-state EEG were analyzed at baseline, after-treatment, and follow-up. The results showed that the active group demonstrated significant cognitive improvements after treatment (MMSE: t (15) =-3.273, p = 0.005, Cohen’s d = 0.82), particularly in short-term memory (MMSE-recall: Z = -2.11, p = 0.035, r = 0.53), with maintained benefits after 10 weeks. In contrast, the sham group exhibited long-term cognitive decline (MMSE: t (4) = 3.586, p = 0.023, Cohen’s d = -1.60). EEG analysis revealed reduced gamma power (t (23) = 2.689, p = 0.013, Cohen’s d = 1.077) and theta connectivity in active group, particularly in the frontotemporal regions (F4/F7: t (23) = 2.467, p = 0.021, Cohen’s d = 0.988; F4/T3: t (23) = 2.465, p = 0.022, Cohen’s d = 0.987), which was correlated with cognitive improvements (R = –0.57, p = 0.043). In conclusion, tACS combining cognitive training may offer cognitive benefits in mild AD by modulating neural activity, though further studies are needed to clarify its mechanisms.
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Data availability
The data that support the findings of this study are not publicly available due to privacy restrictions but are available from the corresponding author upon reasonable request.
References
Scheltens P, Blennow K, Breteler MM, de Strooper B, Frisoni GB, Salloway S, et al. Alzheimer’s disease. Lancet. 2016;388:505–17.
Collaborators GBDDF. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health.. 2022;7:e105–25.
Soveri A, Antfolk J, Karlsson L, Salo B, Laine M. Working memory training revisited: A multi-level meta-analysis of n-back training studies. Psychon Bull Rev. 2017;24:1077–96.
Sitzer DI, Twamley EW, Jeste DV. Cognitive training in Alzheimer’s disease: a meta-analysis of the literature. Acta Psychiatr Scand. 2006;114:75–90.
Gu L, Xu H, Qian F. Effects of non-invasive brain stimulation on alzheimer’s disease. The journal of prevention of Alzheimer’s disease. 2022;9:410–24.
Vogeti S, Boetzel C, Herrmann CS. Entrainment and spike-timing dependent plasticity - a review of proposed mechanisms of transcranial alternating current stimulation. Front Syst Neurosci. 2022;16:827353 https://doi.org/10.3389/fnsys.2022.827353.
Kasten FH, Herrmann CS. Transcranial alternating current stimulation (tACS) enhances mental rotation performance during and after stimulation. Front Hum Neurosci. 2017;11:2 https://doi.org/10.3389/fnhum.2017.00002.
Ahn S, Mellin JM, Alagapan S, Alexander ML, Gilmore JH, Jarskog LF, et al. Targeting reduced neural oscillations in patients with schizophrenia by transcranial alternating current stimulation. Neuroimage. 2019;186:126–36.
Jones KT, Johnson EL, Gazzaley A, Zanto TP. Structural and functional network mechanisms of rescuing cognitive control in aging. Neuroimage. 2022;262:119547 https://doi.org/10.1016/j.neuroimage.2022.119547.
Grover S, Fayzullina R, Bullard BM, Levina V, Reinhart RMG. A meta-analysis suggests that tACS improves cognition in healthy, aging, and psychiatric populations. Sci Transl Med. 2023;15:eabo2044 https://doi.org/10.1126/scitranslmed.abo2044.
Elmasry J, Loo C, Martin D. A systematic review of transcranial electrical stimulation combined with cognitive training. Restor Neurol Neurosci. 2015;33:263–78.
Moussavi Z, Kimura K, Kehler L, de Oliveira Francisco C, Lithgow B. A novel program to improve cognitive function in individuals with dementia using transcranial alternating current stimulation (tACS) and tutored cognitive exercises. Front Aging. 2021;2:632545 https://doi.org/10.3389/fragi.2021.632545.
Varastegan S, Kazemi R, Rostami R, Khomami S, Zandbagleh A, Hadipour AL. Remember NIBS? tACS improves memory performance in elders with subjective memory complaints. GeroScience. 2023;45:851–69.
Leite J, Goncalves OF, Carvalho S. Speed of processing (SoP) training plus alpha-tACS in people with mild cognitive impairment: a double blind, parallel, placebo controlled trial study protocol. Front Aging Neurosci. 2022;14:880510.
Feurra M, Galli G, Pavone EF, Rossi A, Rossi S. Frequency-specific insight into short-term memory capacity. J Neurophysiol. 2016;116:153–8.
Santarnecchi E, Polizzotto NR, Godone M, Giovannelli F, Feurra M, Matzen L, et al. Frequency-dependent enhancement of fluid intelligence induced by transcranial oscillatory potentials. Current biology : CB. 2013;23:1449–53.
Violante IR, Li LM, Carmichael DW, Lorenz R, Leech R, Hampshire A, et al. Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance. eLife. 2017;2017:6 https://doi.org/10.7554/eLife.22001.
Bahramisharif A, Jensen O, Jacobs J, Lisman J. Serial representation of items during working memory maintenance at letter-selective cortical sites. PLoS Biol. 2018;16:e2003805 https://doi.org/10.1371/journal.pbio.2003805.
Ursino M, Cesaretti N, Pirazzini G. A model of working memory for encoding multiple items and ordered sequences exploiting the theta-gamma code. Cogn Neurodyn. 2023;17:489–521.
Vosskuhl J, Huster RJ, Herrmann CS. Increase in short-term memory capacity induced by down-regulating individual theta frequency via transcranial alternating current stimulation. Front Hum Neurosci. 2015;9:257 https://doi.org/10.3389/fnhum.2015.00257.
Reinhart RMG, Nguyen JA. Working memory revived in older adults by synchronizing rhythmic brain circuits. Nat Neurosci. 2019;22:820–7.
Zeng L, Guo M, Wu R, Luo Y, Wei P. The effects of electroencephalogram feature-based transcranial alternating current stimulation on working memory and electrophysiology. Front Aging Neurosci. 2022;14:828377 https://doi.org/10.3389/fnagi.2022.828377.
Antal A, Paulus W. Transcranial alternating current stimulation (tACS). Front Hum Neurosci. 2013;7:317.
O’Connor DW, Pollitt PA, Hyde JB, Fellows JL, Miller ND, Brook CP, et al. The reliability and validity of the Mini-Mental State in a British community survey. J Psychiatr Res. 1989;23:87–96.
XU LY, WEI LL, ZHANG YC, ZHU ZW, LI YF, et al. Application of screening scale for mild cognitive impairment in screening mild cognitive impairment of the elderly in rural communities in Hangzhou, Zhejiang. Chinese Journal of Contemporary Neurology & Neurosurgery. 2021;21:1057–63.
An R, Liu GG. Cognitive impairment and mortality among the oldest-old Chinese. Int J Geriatr Psychiatry. 2016;31:1345–53.
Pedroni A, Bahreini A, Langer N. Automagic: standardized preprocessing of big EEG data. Neuroimage. 2019;200:460–73.
The R Core Team. R: A Language and Environment for Statistical Computing. 2024. https://www.R-project.org/.
Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R. et al. Welcome to the Tidyverse. J Open Source Softw. 2019;4:1686.
Kassambara A. rstatix: Pipe-Friendly Framework for Basic Statistical Tests. 2023. https://rpkgs.datanovia.com/rstatix/.
Wickham H ggplot2: Elegant Graphics for Data Analysis. 2016. https://ggplot2.tidyverse.org.
Oostenveld R, Fries P, Maris E, Schoffelen JM. FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intell Neurosci. 2011;2011:156869 https://doi.org/10.1155/2011/156869.
Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol. 2004;115:2292–307.
Maris E, Oostenveld R. Nonparametric statistical testing of EEG- and MEG-data. J Neurosci Methods. 2007;164:177–90.
Zalesky A, Fornito A, Bullmore ET. Network-based statistic: identifying differences in brain networks. Neuroimage. 2010;53:1197–207.
S Tosi. Matplotlib for Python developers. Packt Publishing Ltd; 2009.
Kraft JD, Hampstead BM. A systematic review of tACS effects on cognitive functioning in older adults across the healthy to dementia spectrum. Neuropsychol Rev. 2023;34:1165–90.
Manippa V, Palmisano A, Nitsche MA, Filardi M, Vilella D, Logroscino G, et al. Cognitive and Neuropathophysiological Outcomes of Gamma-tACS in Dementia: A Systematic Review. Neuropsychol Rev. 2024;34:338–61.
Sprugnoli G, Munsch F, Cappon D, Paciorek R, Macone J, Connor A. et al. Impact of multisession 40Hz tACS on hippocampal perfusion in patients with Alzheimer’s disease. Alzheimers Res Ther. 2021;13:203.
Klink K, Passmann S, Kasten FH, Peter J. The modulation of cognitive performance with transcranial alternating current stimulation: a systematic review of frequency-specific effects. Brain Sci. 2020;10:932 https://doi.org/10.3390/brainsci10120932.
Kim J, Kim H, Jeong H, Roh D, Kim DH. tACS as a promising therapeutic option for improving cognitive function in mild cognitive impairment: A direct comparison between tACS and tDCS. J Psychiatr Res. 2021;141:248–56.
Al Qasem W, Abubaker M, Kvasnak E. Working memory and transcranial-alternating current stimulation-state of the art: findings, missing, and challenges. Front Psychol. 2022;13:822545 https://doi.org/10.3389/fpsyg.2022.822545.
Oldham S, Fornito A. The development of brain network hubs. Developmental cognitive neuroscience. 2019;36:100607 https://doi.org/10.1016/j.dcn.2018.12.005.
Axmacher N, Henseler MM, Jensen O, Weinreich I, Elger CE, Fell J. Cross-frequency coupling supports multi-item working memory in the human hippocampus. Proc Natl Acad Sci USA. 2010;107:3228–33.
Jones DT, Knopman DS, Gunter JL, Graff-Radford J, Vemuri P, Boeve BF, et al. Cascading network failure across the Alzheimer’s disease spectrum. Brain. 2016;139:547–62.
Gaubert S, Raimondo F, Houot M, Corsi MC, Naccache L, Diego Sitt J, et al. EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease. Brain. 2019;142:2096–112.
Meghdadi AH, Stevanovic Karic M, McConnell M, Rupp G, Richard C, Hamilton J. et al. Resting state EEG biomarkers of cognitive decline associated with Alzheimer's disease and mild cognitive impairment. PLoS ONE. 2021;16:e0244180.
Gallego-Jutgla E, Sole-Casals J, Vialatte FB, Dauwels J, Cichocki A. A theta-band EEG based index for early diagnosis of Alzheimer’s disease. J Alzheimers Dis. 2015;43:1175–84.
Anticevic A, Hu X, Xiao Y, Hu J, Li F, Bi F, et al. Early-course unmedicated schizophrenia patients exhibit elevated prefrontal connectivity associated with longitudinal change. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2015;35:267–86.
Naze S, Hearne LJ, Roberts JA, Sanz-Leon P, Burgher B, Hall C, et al. Mechanisms of imbalanced frontostriatal functional connectivity in obsessive-compulsive disorder. Brain. 2023;146:1322–7.
Syan SK, Smith M, Frey BN, Remtulla R, Kapczinski F, Hall GBC, et al. Resting-state functional connectivity in individuals with bipolar disorder during clinical remission: a systematic review. J Psychiatry Neurosci. 2018;43:298–316.
Luo H, Ye X, Cai HT, Wang M, Wang Y, Liu Q, et al. Frequency-specific and state-dependent neural responses to brain stimulation. Mol Psychiatry. 2025;30:2880–90. https://doi.org/10.1038/s41380-025-02892-7.
Acknowledgements
We acknowledge the patients and their families, clinical and administrative staff for their important contributions. We also appreciate Shenzhen Zhongkehuayi Technology Company for technical support.
Funding
This work was supported by the National Natural Science Foundation of China (Grant No. 82101581, 82071181, 82371453), the National Key R&D Program Strategic Science and Technology Innovation Cooperation key special project (SQ2023YFE0201430), STI2030-Major Projects (2022ZD0212400), Key R&D Program of Zhejiang (2024SSYS0017, 2024C03006, 2024C04024, 2025C01119), Fundamental Research Funds for the Central Universities (2025ZFJH01-01). This work was also funded by the Psych-STRATA project (European Union’s Horizon Europe programme, grant No. 101057454).
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Wei C. and Qian G. contributed equally to the conception and design of the study. Kehua Y., Dandan C., Xinhui L., Zhongmei Y., and Dandan L. were responsible for clinical patient management and administering the intervention (equal contribution). Qian G., Daxi F., Lili W., Chanchan S., Yingchun Z., Luoyi X., and Wenjuan C. collected patient data (equal contribution). Shuying R. and Haiteng J. processed and analyzed the EEG data. Xuemin F., Benno P., and Bertram M.-M. provided statistical support and data visualization (equal contribution). Qian G. and Xuemin F. interpreted the data and drafted the manuscript (equal contribution). Daxi F., Benno P., Bertram M.-M. and Pengfei Wei reviewed and made grammatical revisions to the manuscript (equal contribution). Wei C. and Haiteng J. critically revised and gave final approval of the manuscript (equal contribution). All authors read and approved of the final manuscript.
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Gong, Q., Fu, X., Feng, D. et al. Randomized, double-blind, sham-controlled pilot trial of theta-band transcranial alternating current stimulation during cognitive training in mild Alzheimer’s disease. Transl Psychiatry (2026). https://doi.org/10.1038/s41398-026-03822-z
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DOI: https://doi.org/10.1038/s41398-026-03822-z


