{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T23:23:36Z","timestamp":1775863416544,"version":"3.50.1"},"reference-count":29,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T00:00:00Z","timestamp":1758153600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62173073"],"award-info":[{"award-number":["62173073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013099","name":"Scientific Research Fund of Liaoning Provincial Education Department","doi-asserted-by":"publisher","award":["JYTMS20230215"],"award-info":[{"award-number":["JYTMS20230215"]}],"id":[{"id":"10.13039\/501100013099","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Comput. Neurosci."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Understanding how neurons respond to time-varying electric fields is essential for both basic neuroscience and the development of neuromodulation strategies. However, the mechanisms by which alternating-current induced electric fields (AC-IEF) influence neuronal sensitivity and firing remain unclear.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We developed a modified two-compartment Pinsky\u2013Rinzel (PR) neuron model incorporating AC-IEF stimulation. Using systematic simulations, we examined firing responses across a wide range of field frequencies, amplitudes, and intrinsic membrane parameters, including inter-compartmental conductance and potassium reversal potential.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Neurons exhibited no firing or sensitivity when the field amplitude was less than twice the baseline membrane potential, regardless of conductance or reversal potential. Sensitivity increased markedly with amplitude: for example, when the amplitude exceeded 0.5 mV\/cm, maximum firing rates rose by up to 45% and the sensitivity frequency range extended to 10\u201350 Hz. Phase-locking phenomena (1:1 and 2:1) were observed, with bandwidths widening as amplitude increased. For amplitudes below 30 mV, firing pattern transitions depended strongly on inter-compartmental conductance, whereas amplitudes \u226530 mV produced a consistent progression ending in subthreshold oscillations. Similar parameter-dependent transitions occurred for different potassium reversal potentials, converging at high amplitudes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>These results reveal a parameter-dependent mechanism by which AC-IEF modulate neuronal excitability. The findings provide qualitative rather than strictly quantitative insights into how external electromagnetic environments can shape neural activity, offering new directions for targeted neuromodulation in both health and disease.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fncom.2025.1612314","type":"journal-article","created":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T05:30:31Z","timestamp":1758173431000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Effects of AC induced electric fields on neuronal firing sensitivity and activity patterns"],"prefix":"10.3389","volume":"19","author":[{"given":"Chunhua","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rupei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yueyang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2025,9,18]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s00221-025-07002-1","article-title":"Analysis of frequency domain features for the classification of evoked emotions using EEG signals","volume":"243","author":"Adhikari","year":"2025","journal-title":"Exp. 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Sci."},{"key":"ref5","doi-asserted-by":"publisher","first-page":"983","DOI":"10.1016\/j.brs.2016.06.004","article-title":"Safety of transcranial direct current stimulation: evidence based update 2016","volume":"10","author":"Bikson","year":"2017","journal-title":"Brain Stimul."},{"key":"ref6","first-page":"140","article-title":"EEG feedback-controlled transcranial alternating current stimulation","author":"Boyle","year":"2013"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1186\/s40364-024-00687-6","article-title":"Unveiling the role of histone deacetylases in neurological diseases: focus on epilepsy","volume":"12","author":"Cao","year":"2024","journal-title":"Biomark. Res."},{"key":"ref8","doi-asserted-by":"publisher","first-page":"3092","DOI":"10.1038\/s41380-023-02079-y","article-title":"Neurometabolite levels in the brains of patients with autism spectrum disorders: a meta-analysis of proton magnetic resonance spectroscopy studies (N = 1501)","volume":"28","author":"Du","year":"2023","journal-title":"Mol. Psychiatry"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/978-3-319-95948-1_6","article-title":"Safety of transcranial direct current stimulation","volume-title":"Practical guide to transcranial direct current stimulation: principles, procedures and applications","author":"Grossman","year":"2019"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1038\/s41583-021-00489-x","article-title":"The mechanosensory neurons of touch and their mechanisms of activation","volume":"22","author":"Handler","year":"2021","journal-title":"Nat. Rev. Neurosci."},{"key":"ref11","doi-asserted-by":"publisher","first-page":"109782","DOI":"10.1016\/j.chaos.2020.109782","article-title":"Firing patterns of an improved Izhikevich neuron model under the effect of electromagnetic induction and noise","volume":"137","author":"Kafraj","year":"2020","journal-title":"Chaos Solitons Fractals"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"5747","DOI":"10.1073\/pnas.1815958116","article-title":"Transcranial alternating current stimulation entrains single-neuron activity in the primate brain","volume":"116","author":"Krause","year":"2019","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"key":"ref13","doi-asserted-by":"publisher","first-page":"9571","DOI":"10.3390\/app13179571","article-title":"An epileptic seizure detection technique using EEG signals with mobile application development","volume":"13","author":"Lasefr","year":"2023","journal-title":"Appl. Sci."},{"key":"ref14","doi-asserted-by":"publisher","first-page":"5092","DOI":"10.1038\/s41467-018-07233-7","article-title":"Immediate neurophysiological effects of transcranial electrical stimulation","volume":"9","author":"Liu","year":"2018","journal-title":"Nat. Commun."},{"key":"ref15","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1007\/s11071-018-4646-7","article-title":"Model electrical activity of neuron under electric field","volume":"95","author":"Ma","year":"2018","journal-title":"Nonlinear Dyn."},{"key":"ref16","doi-asserted-by":"publisher","first-page":"2490","DOI":"10.3390\/math10162940","article-title":"An adaptive barrier function terminal sliding mode controller for partial seizure disease based on the Pinsky\u2013Rinzel mathematical model","volume":"10","author":"Mokhtare","year":"2022","journal-title":"Mathematics"},{"key":"ref17","article-title":"Membrane potential as master regulator of cellular mechano-transduction","author":"Mukherjee","year":"2023"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.neuroimage.2018.02.005","article-title":"Targeting alpha-band oscillations in a cortical model with amplitude-modulated high-frequency transcranial electric stimulation","volume":"173","author":"Negahbani","year":"2018","journal-title":"NeuroImage"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/bf00961439","article-title":"Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons","volume":"2","author":"Pinsky","year":"1995","journal-title":"J. Comput. Neurosci."},{"key":"ref20","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.brs.2009.03.007","article-title":"Role of cortical cell type and morphology in subthreshold and suprathreshold uniform electric field stimulation in vitro","volume":"2","author":"Radman","year":"2009","journal-title":"Brain Stimul."},{"key":"ref21","doi-asserted-by":"publisher","first-page":"105665","DOI":"10.1016\/j.cmpb.2020.105665","article-title":"Epilepsy control using a fixed time integral super twisting sliding mode control for Pinsky\u2013Rinzel pyramidal model through ion channels with optogenetic method","volume":"195","author":"Rezvani-Ardakani","year":"2020","journal-title":"Comput. Methods Prog. Biomed."},{"key":"ref22","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1016\/j.brs.2014.07.033","article-title":"Endogenous cortical oscillations constrain neuromodulation by weak electric fields","volume":"7","author":"Schmidt","year":"2014","journal-title":"Brain Stimul."},{"key":"ref23","doi-asserted-by":"publisher","first-page":"bhae226","DOI":"10.1093\/cercor\/bhae226","article-title":"Cerebral hemodynamics underlying ankle force sense modulated by high-definition transcranial direct current stimulation","volume":"34","author":"Shen","year":"2024","journal-title":"Cereb. Cortex"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"1029","DOI":"10.1152\/jn.00541.2017","article-title":"Ih interacts with somato-dendritic structure to determine frequency response to weak alternating electric field stimulation","volume":"119","author":"Toloza","year":"2018","journal-title":"J. Neurophysiol."},{"key":"ref25","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1016\/j.neucom.2012.04.032","article-title":"The effects of induction electric field on sensitivity of firing rate in a single-compartment neuron model","volume":"99","author":"Wang","year":"2013","journal-title":"Neurocomputing"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"1687","DOI":"10.1038\/s41467-024-45898-5","article-title":"Induced neural phase precession through exogenous electric fields","volume":"15","author":"Wischnewski","year":"2024","journal-title":"Nat. Commun."},{"key":"ref27","doi-asserted-by":"publisher","first-page":"3550","DOI":"10.1021\/acschemneuro.1c00500","article-title":"Short-term extremely low-frequency electromagnetic field inhibits synaptic plasticity of Schaffer collateral-CA1 synapses in rat Hippocampus via the Ca2+\/calcineurin pathway","volume":"12","author":"Xia","year":"2021","journal-title":"ACS Chem. Neurosci."},{"key":"ref28","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1007\/s11071-020-05816-y","article-title":"Further dynamical analysis of modified Fitzhugh\u2013Nagumo model under the electric field","volume":"101","author":"Yan","year":"2020","journal-title":"Nonlinear Dyn."},{"key":"ref29","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1007\/s11071-020-05576-9","article-title":"Different synaptic connections evoke different firing patterns in neurons subject to an electromagnetic field","volume":"100","author":"Zandi-Mehran","year":"2020","journal-title":"Nonlinear Dyn."}],"container-title":["Frontiers in Computational Neuroscience"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fncom.2025.1612314\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T05:30:32Z","timestamp":1758173432000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fncom.2025.1612314\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,18]]},"references-count":29,"alternative-id":["10.3389\/fncom.2025.1612314"],"URL":"https:\/\/doi.org\/10.3389\/fncom.2025.1612314","relation":{},"ISSN":["1662-5188"],"issn-type":[{"value":"1662-5188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,18]]},"article-number":"1612314"}}