Literature DB >> 11500994

Influence of EEG electrodes on the BOLD fMRI signal.

G Bonmassar1, N Hadjikhani, J R Ives, D Hinton, J W Belliveau.   

Abstract

Measurement of the EEG during fMRI scanning can give rise to image distortions due to magnetic susceptibility, eddy currents or chemical shift artifacts caused by certain types of EEG electrodes, cream, leads, or amplifiers. Two different creams were tested using MRS and T2* measurements, and we found that the one with higher water content was superior. This study introduces an index that quantifies the influence of EEG equipment on the BOLD fMRI signal. This index can also be used more generally to measure the changes in the fMRI signal due to the presence of any type of device inside (or outside) of the field of view (e.g., with fMRI and diffuse optical tomography, infrared imaging, transcranial magnetic stimulation, ultrasound imaging, etc.). Quantitative noise measurements are hampered by the normal variability of functional activation within the same subject and by the different slice profiles obtained when inserting a subject multiple times inside a MR imaging system. Our measurements account for these problems by using a matched filtering of cortical surface maps of functional activations. The results demonstrate that the BOLD signal is not influenced by the presence of EEG electrodes when using a properly constructed MRI compatible recording cap. Copyright 2001 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11500994      PMCID: PMC6871948          DOI: 10.1002/hbm.1045

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  35 in total

1.  Photosensitive epilepsy studied by functional magnetic resonance imaging and magnetic resonance spectroscopy.

Authors:  K H Chiappa; R A Hill; F Huang-Hellinger; B G Jenkins
Journal:  Epilepsia       Date:  1999       Impact factor: 5.864

2.  Is the phase-only filter and its modifications optimal in terms of the discrimination capability in pattern recognition?

Authors:  L P Yaroslavsky
Journal:  Appl Opt       Date:  1992-04-10       Impact factor: 1.980

3.  Time course EPI of human brain function during task activation.

Authors:  P A Bandettini; E C Wong; R S Hinks; R S Tikofsky; J S Hyde
Journal:  Magn Reson Med       Date:  1992-06       Impact factor: 4.668

4.  Functional mapping of the human visual cortex by magnetic resonance imaging.

Authors:  J W Belliveau; D N Kennedy; R C McKinstry; B R Buchbinder; R M Weisskoff; M S Cohen; J M Vevea; T J Brady; B R Rosen
Journal:  Science       Date:  1991-11-01       Impact factor: 47.728

5.  SAR and B1 field distributions in a heterogeneous human head model within a birdcage coil. Specific energy absorption rate.

Authors:  C M Collins; S Li; M B Smith
Journal:  Magn Reson Med       Date:  1998-12       Impact factor: 4.668

6.  Reproducible localization of interictal epileptiform discharges using EEG-triggered fMRI.

Authors:  M R Symms; P J Allen; F G Woermann; G Polizzi; K Krakow; G J Barker; D R Fish; J S Duncan
Journal:  Phys Med Biol       Date:  1999-07       Impact factor: 3.609

7.  Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging.

Authors:  S Ogawa; D W Tank; R Menon; J M Ellermann; S G Kim; H Merkle; K Ugurbil
Journal:  Proc Natl Acad Sci U S A       Date:  1992-07-01       Impact factor: 11.205

8.  Frequency-dependent responses exhibited by multiple regions in human auditory cortex.

Authors:  T M Talavage; P J Ledden; R R Benson; B R Rosen; J R Melcher
Journal:  Hear Res       Date:  2000-12       Impact factor: 3.208

9.  Location of human face-selective cortex with respect to retinotopic areas.

Authors:  E Halgren; A M Dale; M I Sereno; R B Tootell; K Marinkovic; B R Rosen
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

10.  Non-invasive epileptic focus localization using EEG-triggered functional MRI and electromagnetic tomography.

Authors:  M Seeck; F Lazeyras; C M Michel; O Blanke; C A Gericke; J Ives; J Delavelle; X Golay; C A Haenggeli; N de Tribolet; T Landis
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1998-06
View more
  13 in total

1.  Influence of dense-array EEG cap on fMRI signal.

Authors:  Qingfei Luo; Gary H Glover
Journal:  Magn Reson Med       Date:  2011-12-09       Impact factor: 4.668

2.  Visual evoked potentials may be recorded simultaneously with fMRI scanning: A validation study.

Authors:  Eleonora Comi; Pietro Annovazzi; Ana Martins Silva; Marco Cursi; Valeria Blasi; Marcello Cadioli; Alberto Inuggi; Andrea Falini; Giancarlo Comi; Letizia Leocani
Journal:  Hum Brain Mapp       Date:  2005-04       Impact factor: 5.038

3.  Spatiotemporal analysis of the cortical sources of the steady-state visual evoked potential.

Authors:  Francesco Di Russo; Sabrina Pitzalis; Teresa Aprile; Grazia Spitoni; Fabiana Patria; Alessandra Stella; Donatella Spinelli; Steven A Hillyard
Journal:  Hum Brain Mapp       Date:  2007-04       Impact factor: 5.038

4.  The utility of conductive plastic electrodes in prolonged ICU EEG monitoring.

Authors:  Rohit R Das; Brendan P Lucey; Sherry H-Y Chou; Patricio S Espinosa; Amir A Zamani; Barbara A Dworetzky; Edward B Bromfield; Jong Woo Lee
Journal:  Neurocrit Care       Date:  2008-09-20       Impact factor: 3.210

5.  Data quality in fMRI and simultaneous EEG-fMRI.

Authors:  Toni Ihalainen; Linda Kuusela; Sampsa Turunen; Sami Heikkinen; Sauli Savolainen; Outi Sipilä
Journal:  MAGMA       Date:  2014-04-26       Impact factor: 2.310

6.  Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality.

Authors:  Catherine Poulsen; Daniel G Wakeman; Seyed Reza Atefi; Phan Luu; Amy Konyn; Giorgio Bonmassar
Journal:  Magn Reson Med       Date:  2016-02-15       Impact factor: 4.668

7.  Neural substrates of individual differences in human fear learning: evidence from concurrent fMRI, fear-potentiated startle, and US-expectancy data.

Authors:  Sonja van Well; Renée M Visser; H Steven Scholte; Merel Kindt
Journal:  Cogn Affect Behav Neurosci       Date:  2012-09       Impact factor: 3.282

8.  An open-source hardware and software system for acquisition and real-time processing of electrophysiology during high field MRI.

Authors:  Patrick L Purdon; Hernan Millan; Peter L Fuller; Giorgio Bonmassar
Journal:  J Neurosci Methods       Date:  2008-08-05       Impact factor: 2.390

9.  A novel brain stimulation technology provides compatibility with MRI.

Authors:  Peter Serano; Leonardo M Angelone; Husam Katnani; Emad Eskandar; Giorgio Bonmassar
Journal:  Sci Rep       Date:  2015-04-29       Impact factor: 4.379

10.  PTFOS: flexible and absorbable intracranial electrodes for magnetic resonance imaging.

Authors:  Giorgio Bonmassar; Kyoko Fujimoto; Alexandra J Golby
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.