OBJECTIVE: The combination of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) has been hampered by the large artifact that the TMS generates in the EEG. Using TMS with EEG necessitates a sophisticated artifact-resistant EEG system that can acquire reliable signals in the crucial several tens of milliseconds immediately following the TMS pulse. Here, we demonstrate the use of a novel artifact removal algorithm together with a 24-bit EEG system to achieve similar recordings as those obtained with the dedicated TMS-compatible EEG system. METHODS: This setup was used to compare TMS-evoked responses between a group of healthy controls and a group of patients with schizophrenia, a condition in which effective neural connectivity is thought to be compromised. RESULTS: We observe differences in TMS-evoked responses between the two groups, similar to those recently reported in a study that used a dedicated TMS-compatible EEG system. CONCLUSIONS: The standard 24-bit EEG system combined with an artifact removal algorithm produces results similar to the dedicated TMS-compatible system. SIGNIFICANCE: This paves the way for more researchers and clinicians to use TMS-evoked responses for research and diagnosis of a wide spectrum of disorders.
OBJECTIVE: The combination of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) has been hampered by the large artifact that the TMS generates in the EEG. Using TMS with EEG necessitates a sophisticated artifact-resistant EEG system that can acquire reliable signals in the crucial several tens of milliseconds immediately following the TMS pulse. Here, we demonstrate the use of a novel artifact removal algorithm together with a 24-bit EEG system to achieve similar recordings as those obtained with the dedicated TMS-compatible EEG system. METHODS: This setup was used to compare TMS-evoked responses between a group of healthy controls and a group of patients with schizophrenia, a condition in which effective neural connectivity is thought to be compromised. RESULTS: We observe differences in TMS-evoked responses between the two groups, similar to those recently reported in a study that used a dedicated TMS-compatible EEG system. CONCLUSIONS: The standard 24-bit EEG system combined with an artifact removal algorithm produces results similar to the dedicated TMS-compatible system. SIGNIFICANCE: This paves the way for more researchers and clinicians to use TMS-evoked responses for research and diagnosis of a wide spectrum of disorders.
Authors: Martin Wiener; Dasha Kliot; Peter E Turkeltaub; Roy H Hamilton; David A Wolk; H Branch Coslett Journal: J Neurosci Date: 2012-08-29 Impact factor: 6.167
Authors: Yoshihiro Noda; Mera S Barr; Reza Zomorrodi; Robin F H Cash; Pantelis Lioumis; Robert Chen; Zafiris J Daskalakis; Daniel M Blumberger Journal: J Pers Med Date: 2021-01-17
Authors: Giuseppe Varone; Zain Hussain; Zakariya Sheikh; Adam Howard; Wadii Boulila; Mufti Mahmud; Newton Howard; Francesco Carlo Morabito; Amir Hussain Journal: Sensors (Basel) Date: 2021-01-18 Impact factor: 3.576