ORIGINAL RESEARCH article
Front. Hum. Neurosci.
Sec. Brain Imaging and Stimulation
Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1534321
This article is part of the Research TopicTranscranial Electrical Stimulation (tACS, tDCS, tRNS) in Basic and Clinical Neuroscience: Current Progress and Future DirectionsView all 7 articles
Individual alpha frequency tACS reduces static functional connectivity across the default mode network
Provisionally accepted- 1Electronic engineering department, ETSIT, Universidad Politécnica de Madrid, Spain, Madrid, Spain
- 2Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Madrid, Spain
- 3CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain, Madrid, Spain
- 4Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid, Madrid, Madrid, Spain
- 5Department of Psychology, University of Jaén, Jaén, Andalusia, Spain
- 6Health Research Institute of the Hospital Clínico San Carlos (IdISSC), Madrid, Madrid, Spain
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
IntroductionResearch on the influence of transcranial alternating current stimulation over alpha functional connectivity (FC) is scarce, even when it poses as a potential treatment for various diseases. This study aimed to investigate the effects of individual alpha frequency tACS (IAF-tACS) on FC within the default mode network (DMN) in healthy individuals, particularly following the triple network model.Materials and Methods27 healthy participants were recruited, who underwent a 20-minute IAF-tACS session over parieto-occipital areas and three magnetoencephalography (MEG) recordings: two pre-stimulation and one post-stimulation. Participants were randomly assigned to either the stimulation or sham group. Both dynamic FC (dFC) and static FC (sFC) were evaluated through the leakage corrected amplitude envelope correlation (AEC-c). Statistical analyses compared both Pre-Post FC ratio between groups through ratio t-tests and intragroup FC changes through repeated measures t-tests, with FDR correction applied to account for multiple comparisons. An additional analysis simulated the influence of the cortical folding on the effect of tACS over FC.ResultsIAF-tACS significantly decreased sFC in intra- and inter-DMN links in the stimulation group compared to the sham group, with a special influence over antero-posterior links between hubs of the DMN. Negative correlations were found between AEC-c sFC changes and power alterations in posterior DMN areas, suggesting a complex interaction between cortical folding and electric field direction. On the other hand, dFC increased in both sham and stimulation groups, and no between-group differences were found.ConclusionsAgainst our initial hypothesis, IAF-tACS reduced sFC in the DMN, possibly due to phase disparities introduced by cortical gyrification. These findings suggest that tACS might modulate FC in a more complex manner than previously thought, highlighting the need for further research into the personalized application of neuromodulation techniques, as well as its potential therapeutic implications for conditions like Alzheimer’s disease.
Keywords: TACs, functional connectivity, Magnetoencephalography, cortical folding, individual alpha frequency
Received: 28 Nov 2024; Accepted: 16 Apr 2025.
Copyright: © 2025 Carrasco-Gómez, García-Colomo, Cabrera-Álvarez, del Cerro-León, Gomez-Ariza, Santos and Maestú. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Martín Carrasco-Gómez, Electronic engineering department, ETSIT, Universidad Politécnica de Madrid, Spain, Madrid, Spain
Alejandra García-Colomo, Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, 28040, Madrid, Spain
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.