TMSEEG: A MATLAB-Based Graphical User Interface for Processing Electrophysiological Signals during Transcranial Magnetic Stimulation-Reference-Cited by-同舟云学术

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TMSEEG: A MATLAB-Based Graphical User Interface for Processing Electrophysiological Signals during Transcranial Magnetic Stimulation

Published:2016-10-07 Issue: Volume:10 Page:
ISSN:1662-5110
Container-title:Frontiers in Neural Circuits
language:
Short-container-title:Front. Neural Circuits

Author:

Atluri Sravya,Frehlich Matthew,Mei Ye,Garcia Dominguez Luis,Rogasch Nigel C.,Wong Willy,Daskalakis Zafiris J.,Farzan Faranak

Funder

Natural Sciences and Engineering Research Council of Canada

Brain and Behavior Research Foundation

Campbell Institute

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems,Neuroscience (miscellaneous)

Reference36 articles.

1. A practical guide to the selection of independent components of the electroencephalogram for artifact correction;Chaumon;J. Neurosci. Methods,2015

2. Combined transcranial magnetic stimulation and electroencephalography: its past, present and future;Daskalakis;Brain Res.,2012

3. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis;Delorme;J. Neurosci. Methods,2004

4. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis;Delorme;Neuroimage,2007

5. The EEG correlates of the TMS-induced EMG silent period in humans;Farzan;Neuroimage,2013

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1. Methodological choices matter: A systematic comparison of TMS-EEG studies targeting the primary motor cortex;2024-03-11

2. The Effect of Stimulation Intensity, Sampling Frequency, and Sample Synchronization in TMS-EEG on the TMS Pulse Artifact Amplitude and Duration;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

3. Baseline markers of cortical excitation and inhibition predict response to theta burst stimulation treatment for youth depression;Scientific Reports;2023-11-04

4. A three-dimensional adaptive rational interpolation algorithm for removing TMS-EEG pulse artifacts;Physiological Measurement;2023-11-01

5. Neurophysiological characterization of stroke recovery: A longitudinal TMS and EEG study;CNS Neuroscience & Therapeutics;2023-09-18

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