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Network-nodal tACS induces right-lateralization of thalamocortical connectivity
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  • Published: 12 April 2026

Network-nodal tACS induces right-lateralization of thalamocortical connectivity

  • Seulgi Lee1,2,3 na1,
  • Bumhee Park1,2,4,5,6 na1,
  • Jeehye Seo7 &
  • …
  • Byoung-Kyong Min7,8,9,10 

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  • Biological techniques
  • Neuroscience

Abstract

Almost all functional processing in the cortex heavily relies on thalamic interactions. Since neural interactions across thalamocortical networks are essential for regulating cognitive functions, we investigated whether network-level transcranial alternating current stimulation (tACS) could modulate the functional connectivity of thalamocortical networks. Using network-node-based tACS and functional MRI (fMRI) data from the color flickering task, we performed functional connectivity and modularity analyses. Notably, tACS applied to key nodes of canonical functional networks resulted in right-lateralized thalamocortical connectivity. Compared to tACS applied to the medial prefrontal cortex (mPFC), tACS applied to the dorsolateral prefrontal cortex (dlPFC) significantly enhanced functional connectivity within the control and attentional networks. Further analyses of modularity and hub scores revealed functional clustering among sensory-visual, associative, and executive-control thalamocortical modules, along with a significant enhancement in thalamocortical interplay within the cluster. TACS-to-dlPFC enhanced interactions within the visual network, whereas tACS-to-mPFC enhanced interactions within the control network. Taken together, this study demonstrates the feasibility of network-based tACS for modulating task-relevant brain functional organization, with potential applications in cognitive impairment and clinical populations.

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Data availability

Anonymized derivatives (e.g., unthresholded statistical maps) will be made available when feasible. The data and analytical tools used in this study are available from the corresponding author upon reasonable request.

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Acknowledgements

We thank Je-Choon Park, Jeongwook Kwon, Yukyung Kim, Sangbin Yun, and Jaewon Yang for their assistance with fMRI data acquisition and tACS administration. We also thank Dr. Dongha Lee for his kind work in drawing Fig. 1.

Funding

This work was supported by the New Faculty Startup Fund from Seoul National University and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (grant number RS-2025-00513128 to B.-K.M. and NRF-2019R1A5A2026045 to B.P.).

Author information

Author notes
  1. These authors contributed equally: Seulgi Lee and Bumhee Park.

Authors and Affiliations

  1. Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, 16499, Korea

    Seulgi Lee & Bumhee Park

  2. Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, 16499, Korea

    Seulgi Lee & Bumhee Park

  3. Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, 16419, Korea

    Seulgi Lee

  4. Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, 16499, Korea

    Bumhee Park

  5. Department of Convergence Healthcare Medicine, Graduate School of Ajou University, Suwon, 16499, Korea

    Bumhee Park

  6. BK21 R&E Initiative for Advanced Precision Medicine, Suwon, 16499, Korea

    Bumhee Park

  7. Learning Sciences Research Institute, College of Education, Seoul National University, Seoul, 08826, Korea

    Jeehye Seo & Byoung-Kyong Min

  8. Transdisciplinary Learning Sciences, College of Education, Seoul National University, Seoul, 08826, Korea

    Byoung-Kyong Min

  9. Interdisciplinary Program in Neuroscience, College of Natural Sciences, Seoul National University, Seoul, 08826, Korea

    Byoung-Kyong Min

  10. Interdisciplinary Program in Cognitive Science, College of Humanities, Seoul National University, Seoul, 08826, Korea

    Byoung-Kyong Min

Authors
  1. Seulgi Lee
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  2. Bumhee Park
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Contributions

Seulgi Lee: Investigation, Formal analysis, Methodology, Visualization, Writing - Original draft. Bumhee Park: Investigation, Software, Formal analysis, Methodology, Visualization, Writing - Original draft, Funding acquisition. Jeehye Seo: Investigation, Formal analysis. Byoung-Kyong Min: Conceptualization, Methodology, Investigation, Formal analysis, Writing - Original draft, Reviewing and Editing, Supervision, Project administration, Funding acquisition.

Corresponding author

Correspondence to Byoung-Kyong Min.

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The study complied with ethical guidelines established by the Institutional Review Board of Korea University (Approval No. KUIRB-2021–0209–08) and the Declaration of Helsinki (World Medical Association, 2013).

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Lee, S., Park, B., Seo, J. et al. Network-nodal tACS induces right-lateralization of thalamocortical connectivity. Sci Rep (2026). https://doi.org/10.1038/s41598-026-48061-w

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  • Received: 31 January 2026

  • Accepted: 06 April 2026

  • Published: 12 April 2026

  • DOI: https://doi.org/10.1038/s41598-026-48061-w

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Keywords

  • Conscious perception
  • Mental representation
  • Functional magnetic resonance imaging
  • Non-invasive electrical brain stimulation
  • Transcranial alternating current stimulation
  • Thalamocortical network
  • Graph network
  • Modularity
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