Literature DB >> 12594729

Investigating the stimulus-dependent temporal dynamics of the BOLD signal using spectral methods.

Karsten Müller1, Toralf Mildner, Gabriele Lohmann, D Yves von Cramon.   

Abstract

PURPOSE: To compare several spectral parameters using different durations of visual hemifield stimulation in order to explore the different temporal behavior of the blood oxygenation-level dependent (BOLD) signal in various brain regions.
MATERIALS AND METHODS: Spectral methods were applied to three different groups of subjects with visual stimulation lasting 6, 12, and 30 seconds. Furthermore, diffusion weighting was applied in an interleaved way. The core of the data processing was the computation of the spectral density matrix using the multidimensional weighted covariance estimate. Spectral parameters of coherence and phase shift were computed.
RESULTS: The correlation between signal changes and phase shifts was dependent on the duration of the visual stimulation. The shorter the duration of visual stimulation, the stronger the correlation between percentage signal change and phase shift.
CONCLUSION: The experiments with short and long stimuli differed mainly in the distribution of the activated voxels in the plane of percentage signal change and phase shift. It was revealed that the height of the signal change depends on the phase shift, whereas the diffusion weighting has no influence. Copyright 2003 Wiley-Liss, Inc.

Mesh:

Year:  2003        PMID: 12594729     DOI: 10.1002/jmri.10268

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

Review 1.  Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity.

Authors:  Daniel S Margulies; Joachim Böttger; Xiangyu Long; Yating Lv; Clare Kelly; Alexander Schäfer; Dirk Goldhahn; Alexander Abbushi; Michael P Milham; Gabriele Lohmann; Arno Villringer
Journal:  MAGMA       Date:  2010-10-24       Impact factor: 2.310

2.  Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain.

Authors:  Gabriele Lohmann; Daniel S Margulies; Annette Horstmann; Burkhard Pleger; Joeran Lepsien; Dirk Goldhahn; Haiko Schloegl; Michael Stumvoll; Arno Villringer; Robert Turner
Journal:  PLoS One       Date:  2010-04-27       Impact factor: 3.240

Review 3.  Oscillatory serotonin function in depression.

Authors:  Ronald M Salomon; Ronald L Cowan
Journal:  Synapse       Date:  2013-05-21       Impact factor: 2.562

4.  Temporal dynamics of perisylvian activation during language processing in children and adults.

Authors:  Jens Brauer; Jane Neumann; Angela D Friederici
Journal:  Neuroimage       Date:  2008-03-28       Impact factor: 6.556

5.  Network changes in the transition from initial learning to well-practiced visual categorization.

Authors:  Joe DeGutis; Mark D'Esposito
Journal:  Front Hum Neurosci       Date:  2009-11-12       Impact factor: 3.169

  5 in total

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