ArticleFrontiers in neuroscience2020
Evaluation of White Matter Integrity Utilizing the DELPHI (TMS-EEG) System.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 6 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Exploring Markers of Brain Health With EEG and TMS: A Pilot Study
Assessment of Traumatic Brain Injury Using Transcranial Magnetic Stimulated Evoked Potentials (TMS-EEG)
Deriving Candidate Diagnostic and Prognostic Network Biomarkers for Chronic Pain Using the QuantalX DELPHI TMS-EEG System
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- 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
- Interhemispheric connectivity measured with transcranial magnetic stimulation and EEG as an objective marker of cognitive risk.Brain communications · 2026Article
- Thalamic feedback shapes brain responses evoked by cortical stimulation in mice and humans.Nature communications · 2025Article
- TMS-evoked potentials unveil occipital network involvement in patients diagnosed with Parkinson's disease within 5 years of inclusion.NPJ Parkinson's disease · 2024Article
- An integrated TMS-EEG and MRI approach to explore the interregional connectivity of the default mode network.Brain structure & function · 2022Article
- Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to evaluate brain white matter (WM) fibers connectivity damage in stroke and traumatic brain injury (TBI) subjects by direct electrophysiological imaging (DELPHI) that analyzes transcranial magnetic stimulation (TMS)-evoked potentials (TEPs).
methodsThe study included 123 participants, out of which 53 subjects with WM-related pathologies (39 stroke, 14 TBI) and 70 healthy age-related controls. All subjects underwent DELPHI brain network evaluations of TMS-electroencephalogram (EEG)-evoked potentials and diffusion tensor imaging (DTI) scans for quantification of WM microstructure fractional anisotropy (FA).
resultsDELPHI output measures show a significant difference between the healthy and stroke/TBI groups. A multidimensional approach was able to classify healthy from unhealthy with a balanced accuracy of 0.81 ± 0.02 and area under the curve (AUC) of 0.88 ± 0.01. Moreover, a multivariant regression model of DELPHI output measures achieved prediction of WM microstructure changes measured by FA with the highest correlations observed for fibers proximal to the stimulation area, such as frontal corpus callosum (
conclusionThese results indicate that features of TMS-evoked response are correlated to WM microstructure changes observed in pathological conditions, such as stroke and TBI, and that a multidimensional approach combining these features in supervised learning methods serves as a strong indicator for abnormalities and changes in WM integrity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.