ArticleBMC neurology2021
Mapping causal circuit dynamics in stroke using simultaneous electroencephalography and transcranial magnetic stimulation.
Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Review
- Tracking causal pathways in TMS-evoked brain responses.PLoS computational biology · 2025Article
- Functional brain network analysis in patients with upper-limb spasticity after stroke.Frontiers in human neuroscience · 2025Article
- Intracortical and intercortical networks in patients after stroke: a concurrent TMS-EEG study.Journal of neuroengineering and rehabilitation · 2023Article
- The role of neurophysiological tools in the evaluation of ischemic stroke evolution: a narrative review.Frontiers in neurology · 2023Review
- Neuroimaging Techniques as Potential Tools for Assessment of Angiogenesis and Neuroplasticity Processes after Stroke and Their Clinical Implications for Rehabilitation and Stroke Recovery Prognosis.Journal of clinical medicine · 2022Review
- Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm.Brain sciences · 2022Article
- Electroencephalogram (EEG) With or Without Transcranial Magnetic Stimulation (TMS) as Biomarkers for Post-stroke Recovery: A Narrative Review.Frontiers in neurology · 2022Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
backgroundMotor impairment after stroke is due not only to direct tissue loss but also to disrupted connectivity within the motor network. Mixed results from studies attempting to enhance motor recovery with Transcranial Magnetic Stimulation (TMS) highlight the need for a better understanding of both connectivity after stroke and the impact of TMS on this connectivity. This study used TMS-EEG to map the causal information flow in the motor network of healthy adult subjects and define how stroke alters these circuits.
methodsFourteen stroke patients and 12 controls received TMS to two sites (bilateral primary motor cortices) during two motor tasks (paretic/dominant hand movement vs. rest) while EEG measured the cortical response to TMS pulses. TMS-EEG based connectivity measurements were derived for each hemisphere and the change in connectivity (ΔC) between the two motor tasks was calculated. We analyzed if ΔC for each hemisphere differed between the stroke and control groups or across TMS sites, and whether ΔC correlated with arm function in stroke patients.
resultsRight hand movement increased connectivity in the left compared to the right hemisphere in controls, while hand movement did not significantly change connectivity in either hemisphere in stroke. Stroke patients with the largest increase in healthy hemisphere connectivity during paretic hand movement had the best arm function.
conclusionsTMS-EEG measurements are sensitive to movement-induced changes in brain connectivity. These measurements may characterize clinically meaningful changes in circuit dynamics after stroke, thus providing specific targets for trials of TMS in post-stroke rehabilitation.
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