Literature DB >> 17544703

Heart beats brain: The problem of detecting alpha waves by neuronal current imaging in joint EEG-MRI experiments.

H Mandelkow1, P Halder, D Brandeis, M Soellinger, N de Zanche, R Luechinger, P Boesiger.   

Abstract

It has been suggested recently that the influence of the neuro-magnetic field should make electrical brain activity directly detectable by MRI. To test this hypothesis, we performed combined EEG-MRI experiments which aim to localize the neuronal current sources of alpha waves (8-12 Hz), one of the most prominent EEG phenomena in humans. A detailed analysis of cross-spectral coherence between simultaneously recorded EEG and MRI time series revealed no sign of alpha waves. Instead the EEG-MRI approach was found to be hampered by artefacts due to cardiac pulsation, which extend into the frequency band of alpha waves. Separate brain displacement mapping experiments confirmed that not only the EEG but also the MRI signal is confounded by harmonics of the cardiac frequency even at 10 Hz and beyond. This well-known ballistocardiogram artefact cannot be avoided or eliminated entirely by available signal processing techniques. Therefore we must conclude that current EEG-MRI methodology based on correlation analysis lacks not only the sensitivity but also the specificity required for the reliable detection of alpha waves.

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Year:  2007        PMID: 17544703     DOI: 10.1016/j.neuroimage.2007.04.034

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


  7 in total

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Authors:  Mukund Balasubramanian; Robert V Mulkern; William M Wells; Padmavathi Sundaram; Darren B Orbach
Journal:  Magn Reson Med       Date:  2014-10-01       Impact factor: 4.668

2.  Toward direct MRI of neuro-electro-magnetic oscillations in the human brain.

Authors:  Trong-Kha Truong; Kenneth C Roberts; Marty G Woldorff; Allen W Song
Journal:  Magn Reson Med       Date:  2019-01-16       Impact factor: 4.668

3.  Direct neural current imaging in an intact cerebellum with magnetic resonance imaging.

Authors:  Padmavathi Sundaram; Aapo Nummenmaa; William Wells; Darren Orbach; Daniel Orringer; Robert Mulkern; Yoshio Okada
Journal:  Neuroimage       Date:  2016-02-17       Impact factor: 6.556

4.  Modeling neuronal current MRI signal with human neuron.

Authors:  Qingfei Luo; Xia Jiang; Bin Chen; Yi Zhu; Jia-Hong Gao
Journal:  Magn Reson Med       Date:  2011-01-19       Impact factor: 4.668

5.  Physiologically evoked neuronal current MRI in a bloodless turtle brain: detectable or not?

Authors:  Qingfei Luo; Huo Lu; Hanbing Lu; David Senseman; Keith Worsley; Yihong Yang; Jia-Hong Gao
Journal:  Neuroimage       Date:  2009-06-16       Impact factor: 6.556

6.  Octopus visual system: a functional MRI model for detecting neuronal electric currents without a blood-oxygen-level-dependent confound.

Authors:  Xia Jiang; Hanbing Lu; Shuichi Shigeno; Li-Hai Tan; Yihong Yang; Clifton W Ragsdale; Jia-Hong Gao
Journal:  Magn Reson Med       Date:  2013-12-02       Impact factor: 4.668

7.  Detection of fast oscillating magnetic fields using dynamic multiple TR imaging and Fourier analysis.

Authors:  Ki Hwan Kim; Hyo-Im Heo; Sung-Hong Park
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

  7 in total

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