Literature DB >> 18648924

EEG and FMRI coregistration to investigate the cortical oscillatory activities during finger movement.

Emanuela Formaggio1, Silvia Francesca Storti, Mirko Avesani, Roberto Cerini, Franco Milanese, Anna Gasparini, Michele Acler, Roberto Pozzi Mucelli, Antonio Fiaschi, Paolo Manganotti.   

Abstract

Electroencephalography combined with functional magnetic resonance imaging (EEG-fMRI) may be used to identify blood oxygenation level dependent (BOLD) signal changes associated with physiological and pathological EEG event. In this study we used EEG-fMRI to determine the possible correlation between topographical movement-related EEG changes in brain oscillatory activity recorded from EEG electrodes over the scalp and fMRI-BOLD cortical responses in motor areas during finger movement. Thirty-two channels of EEG were recorded in 9 subjects during eyes-open condition inside a 1.5 T magnetic resonance (MR) scanner using a MR-compatible EEG recording system. Off-line MRI artifact subtraction software was applied to obtain continuous EEG data during fMRI acquisition. For EEG data analysis we used the event-related-synchronization/desynchronization (ERS/ERD) approach to investigate where movement-related decreases in alpha and beta power are located. For image statistical analysis we used a general linear model (GLM) approach. There was a significant correlation between the positive-negative ratio of BOLD signal peaks and ERD values in the electrodes over the region of activation. We conclude that combined EEG-fMRI may be used to investigate movement-related oscillations of the human brain inside an MRI scanner and the movement-related changes in the EMG or EEG signals are useful to identify the brain activation sources responsible for BOLD-signal changes.

Entities:  

Mesh:

Year:  2008        PMID: 18648924     DOI: 10.1007/s10548-008-0058-1

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  29 in total

1.  Seeing touch and pain in a stranger modulates the cortical responses elicited by somatosensory but not auditory stimulation.

Authors:  Elia Valentini; Meng Liang; Salvatore Maria Aglioti; Gian Domenico Iannetti
Journal:  Hum Brain Mapp       Date:  2012-01-10       Impact factor: 5.038

2.  Neural correlates of being imitated: an EEG study in preverbal infants.

Authors:  Joni N Saby; Peter J Marshall; Andrew N Meltzoff
Journal:  Soc Neurosci       Date:  2012-05-30       Impact factor: 2.083

3.  Effect of voluntary repetitive long-lasting muscle contraction activity on the BOLD signal as assessed by optimal hemodynamic response function.

Authors:  Silvia Francesca Storti; Emanuela Formaggio; Deborah Moretto; Alessandra Bertoldo; Francesca Benedetta Pizzini; Alberto Beltramello; Antonio Fiaschi; Gianna Maria Toffolo; Paolo Manganotti
Journal:  MAGMA       Date:  2013-09-03       Impact factor: 2.310

4.  The Infant EEG Mu Rhythm: Methodological Considerations and Best Practices.

Authors:  Kimberly Cuevas; Erin N Cannon; Kathryn Yoo; Nathan A Fox
Journal:  Dev Rev       Date:  2014-03-01

5.  An introduction to normalization and calibration methods in functional MRI.

Authors:  Thomas T Liu; Gary H Glover; Bryon A Mueller; Douglas N Greve; Gregory G Brown
Journal:  Psychometrika       Date:  2012-12-29       Impact factor: 2.500

6.  Quiet connections: Reduced fronto-temporal connectivity in nondemented Parkinson's Disease during working memory encoding.

Authors:  Alex I Wiesman; Elizabeth Heinrichs-Graham; Timothy J McDermott; Pamela M Santamaria; Howard E Gendelman; Tony W Wilson
Journal:  Hum Brain Mapp       Date:  2016-05-06       Impact factor: 5.038

7.  Beta oscillations reveal ethnicity ingroup bias in sensorimotor resonance to pain of others.

Authors:  Igor Riečanský; Nina Paul; Sarah Kölble; Stefan Stieger; Claus Lamm
Journal:  Soc Cogn Affect Neurosci       Date:  2014-10-24       Impact factor: 3.436

Review 8.  Neural mirroring mechanisms and imitation in human infants.

Authors:  Peter J Marshall; Andrew N Meltzoff
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-04-28       Impact factor: 6.237

9.  EEG-fMRI evaluation of patients with mesial temporal lobe sclerosis.

Authors:  Mirko Avesani; Silvia Giacopuzzi; Luigi Giuseppe Bongiovanni; Paolo Borelli; Roberto Cerini; Roberto Pozzi Mucelli; Antonio Fiaschi
Journal:  Neuroradiol J       Date:  2014-02-24

10.  fMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG.

Authors:  Fa-Hsuan Lin; Thomas Witzel; Tommi Raij; Jyrki Ahveninen; Kevin Wen-Kai Tsai; Yin-Hua Chu; Wei-Tang Chang; Aapo Nummenmaa; Jonathan R Polimeni; Wen-Jui Kuo; Jen-Chuen Hsieh; Bruce R Rosen; John W Belliveau
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

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