Literature DB >> 19591945

EEG signatures of auditory activity correlate with simultaneously recorded fMRI responses in humans.

Stephen D Mayhew1, Sharon G Dirckx, Rami K Niazy, Gian D Iannetti, Richard G Wise.   

Abstract

We recorded auditory-evoked potentials (AEPs) during simultaneous, continuous fMRI and identified trial-to-trial correlations between the amplitude of electrophysiological responses, characterised in the time domain and the time-frequency domain, and the hemodynamic BOLD response. Cortical AEPs were recorded from 30 EEG channels within the 3 T MRI scanner with and without the collection of simultaneous BOLD fMRI. Focussing on the Cz (vertex) EEG response, single-trial AEP responses were measured from time-domain waveforms. Furthermore, a novel method was used to characterise the single-trial AEP response within three regions of interest in the time-frequency domain (TF-ROIs). The latency and amplitude values of the N1 and P2 AEP peaks during fMRI scanning were not significantly different from the Control session (p>0.16). BOLD fMRI responses to the auditory stimulation were observed in bilateral secondary auditory cortices as well as in the right precentral and postcentral gyri, anterior cingulate cortex (ACC) and supplementary motor cortex (SMC). Significant single-trial correlations were observed with a voxel-wise analysis, between (1) the magnitude of the EEG TF-ROI1 (70-800 ms post-stimulus, 1-5 Hz) and the BOLD response in right primary (Heschl's gyrus) and secondary (STG, planum temporale) auditory cortex; and (2) the amplitude of the P2 peak and the BOLD response in left pre- and postcentral gyri, the ACC and SMC. No correlation was observed with single-trial N1 amplitude on a voxel-wise basis. An fMRI-ROI analysis of functionally-identified auditory responsive regions identified further single-trial correlations of BOLD and EEG responses. The TF amplitudes in TF-ROI1 and TF-ROI2 (20-400 ms post-stimulus, 5-15 Hz) were significantly correlated with the BOLD response in all bilateral auditory areas investigated (planum temporale, superior temporal gyrus and Heschl's gyrus). However the N1 and P2 peak amplitudes, occurring at similar latencies did not show a correlation in these regions. N1 and P2 peak amplitude did correlate with the BOLD response in bilateral precentral and postcentral gyri and the SMC. Additionally P2 and TF-ROI1 both correlated with the ACC. TF-ROI3 (400-900 ms post-stimulus, 4-10 Hz) correlations were only observed in the ACC and SMC. Across the group, the subject-mean N1 peak amplitude correlated with the BOLD response amplitude in the primary and secondary auditory cortices bilaterally, as well as the right precentral gyrus and SMC. We confirm that auditory-evoked EEG responses can be recorded during continuous and simultaneous fMRI. We have presented further evidence of an empirical single-trial coupling between the EEG and BOLD fMRI responses, and show that a time-frequency decomposition of EEG signals can yield additional BOLD fMRI correlates, predominantly in auditory cortices, beyond those found using the evoked response amplitude alone.

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Year:  2009        PMID: 19591945     DOI: 10.1016/j.neuroimage.2009.06.080

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  22 in total

1.  Single-trial detection for intraoperative somatosensory evoked potentials monitoring.

Authors:  L Hu; Z G Zhang; H T Liu; K D K Luk; Y Hu
Journal:  Cogn Neurodyn       Date:  2015-07-23       Impact factor: 5.082

2.  Exploring the advantages of multiband fMRI with simultaneous EEG to investigate coupling between gamma frequency neural activity and the BOLD response in humans.

Authors:  Makoto Uji; Ross Wilson; Susan T Francis; Karen J Mullinger; Stephen D Mayhew
Journal:  Hum Brain Mapp       Date:  2018-01-13       Impact factor: 5.038

3.  The adaptive pattern of the auditory N1 peak revealed by standardized low-resolution brain electromagnetic tomography.

Authors:  Fawen Zhang; Aniruddha Deshpande; Chelsea Benson; Mathew Smith; James Eliassen; Qian-Jie Fu
Journal:  Brain Res       Date:  2011-05-23       Impact factor: 3.252

4.  Time-Frequency Data Reduction for Event Related Potentials: Combining Principal Component Analysis and Matching Pursuit.

Authors:  Selin Aviyente; Edward M Bernat; Stephen M Malone; William G Iacono
Journal:  EURASIP J Adv Signal Process       Date:  2010-01-01

5.  Reducing the gradient artefact in simultaneous EEG-fMRI by adjusting the subject's axial position.

Authors:  Karen J Mullinger; Winston X Yan; Richard Bowtell
Journal:  Neuroimage       Date:  2010-10-13       Impact factor: 6.556

6.  Taking into account latency, amplitude, and morphology: improved estimation of single-trial ERPs by wavelet filtering and multiple linear regression.

Authors:  L Hu; M Liang; A Mouraux; R G Wise; Y Hu; G D Iannetti
Journal:  J Neurophysiol       Date:  2011-08-31       Impact factor: 2.714

7.  Learning acts on distinct processes for visual form perception in the human brain.

Authors:  Stephen D Mayhew; Sheng Li; Zoe Kourtzi
Journal:  J Neurosci       Date:  2012-01-18       Impact factor: 6.167

Review 8.  When Is Simultaneous Recording Necessary? A Guide for Researchers Considering Combined EEG-fMRI.

Authors:  Catriona L Scrivener
Journal:  Front Neurosci       Date:  2021-06-29       Impact factor: 4.677

9.  Auditory processing under cross-modal visual load investigated with simultaneous EEG-fMRI.

Authors:  Christina Regenbogen; Maarten De Vos; Stefan Debener; Bruce I Turetsky; Carolin Mössnang; Andreas Finkelmeyer; Ute Habel; Irene Neuner; Thilo Kellermann
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

10.  A Computational Model of Implicit Memory Captures Dyslexics' Perceptual Deficits.

Authors:  Sagi Jaffe-Dax; Ofri Raviv; Nori Jacoby; Yonatan Loewenstein; Merav Ahissar
Journal:  J Neurosci       Date:  2015-09-02       Impact factor: 6.167

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