Intensity- and frequency-specific effects of transcranial alternating current stimulation are explained by network dynamics.

Transcranial alternating current stimulation neural entrainment neuron network model

Journal

Journal of neural engineering
ISSN: 1741-2552
Titre abrégé: J Neural Eng
Pays: England
ID NLM: 101217933

Informations de publication

Date de publication:
26 Mar 2024
Historique:
medline: 26 3 2024
pubmed: 26 3 2024
entrez: 26 3 2024
Statut: aheadofprint

Résumé

Transcranial alternating current stimulation (tACS) can be used to non-invasively entrain neural activity, and thereby cause changes in local neural oscillatory power. Despite an increased use in cognitive and clinical neuroscience, the fundamental mechanisms of tACS are still not fully understood.&#xD;Approach. We developed a computational neuronal network model of two-compartment pyramidal neurons and inhibitory interneurons which mimic the local cortical circuits. We modeled tACS with electric field strengths that are achievable in human applications. We then simulated intrinsic network activity and measured neural entrainment to investigate how tACS modulates ongoing endogenous oscillations.&#xD;Main Results. Intensity-specific effects of tACS are non-linear. At low intensities (<0.3 mV/mm), tACS desynchronizes neural firing relative to the endogenous oscillations. At higher intensities (>0.3 mV/mm), neurons are entrained to the exogenous electric field. We then further explore the stimulation parameter space and find that entrainment of ongoing cortical oscillations also depends on stimulation frequency by following an Arnold tongue. Moreover, neuronal networks can amplify the tACS induced entrainment via synaptic coupling and network effects. Our model shows that pyramidal neurons are directly entrained by the exogenous electric field and drive the inhibitory neurons.&#xD;Significance. The results presented in this study provide a mechanistic framework for understanding the intensity- and frequency- specific effects of oscillating electric fields on neuronal networks. This is crucial for rational parameters selection for tACS in cognitive studies and clinical applications.&#xD.

Identifiants

pubmed: 38530297
doi: 10.1088/1741-2552/ad37d9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Zhihe Zhao (Z)

Department of Biomedical Engineering, University of Minnesota, Nils Hasselmo Hall, 7-105, 312 Church St SE, Minneapolis, Minnesota, 55455, UNITED STATES.

Sina Shirinpour (S)

Department of Biomedical Engineering, University of Minnesota, Nils Hasselmo Hall, 7-105, 312 Church St SE, Minneapolis, Minnesota, 55455, UNITED STATES.

Harry Tran (H)

Department of Biomedical Engineering, University of Minnesota, Nils Hasselmo Hall, 7-105, 312 Church St SE, Minneapolis, Minnesota, 55455, UNITED STATES.

Miles Wischnewski (M)

Department of Biomedical Engineering, University of Minnesota, Nils Hasselmo Hall, 7-105, 312 Church St SE, Minneapolis, Minnesota, 55455, UNITED STATES.

Alexander Opitz (A)

Department of Biomedical Engineering, University of Minnesota, Nils Hasselmo Hall, 7-105, 312 Church St SE, Minneapolis, Minnesota, 55455, UNITED STATES.

Classifications MeSH