henhaobio
Sign in

Clinical NeurophysiologyNeurosciencePeer-reviewed journal article

Biophysical modeling of neural plasticity induced by transcranial magnetic stimulation

Marcus Thomas WilsoniD, Ben FulcheriD, Park K. Fung, Peter A. RobinsoniD, Alex FornitoiD, Nigel C. RogaschiD

PDFDOIPreprint

Abstract

Transcranial magnetic stimulation (TMS) is a widely used noninvasive brain stimulation method capable of inducing plastic reorganisation of cortical circuits in humans. Changes in neural activity following TMS are often attributed to synaptic plasticity (e.g long-term potentiation and depression; LTP/LTD). However, the precise way in which synaptic processes such as LTP/LTD modulate the activity of large populations of neurons, as stimulated en masse by TMS, are unclear. The recent development of biophysically-informed models, which capture the physiological properties of TMS-induced plasticity using mathematics, provide an excellent framework for reconciling synaptic and macroscopic plasticity. In this article, we overview the TMS paradigms used to induce plasticity, and their limitations. We then describe the development of biophysically-based numerical models of the mechanisms underlying LTP/LTD on population-level neuronal activity, and the application of these models to TMS plasticity paradigms, including theta burst and paired associative stimulation. Finally, we outline how modeling can complement experiment to improve mechanistic understandings and optimize outcomes of TMS-induced plasticity.\n\nAbbreviations

Citations
66
FWCI
0.50
Field percentile
47th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHananeia '24Wilson '20Aberra '18Ma '23Shirinpour '21Galanis '25
79% semantic matchNeuroscience
Nicholas Hananeia, Christian Ebner, Christos Galanis+4 more·bioRxiv·Jul 3, 2024· 3 citations