Literature DB >> 14568479

Statistical properties of BOLD magnetic resonance activity in the human brain.

Chien-Chung Chen1, Christopher W Tyler, Heidi A Baseler.   

Abstract

We investigated the random variability of BOLD (blood oxygen level dependent) activation during rest, or null-hypothesis, conditions in which the observers were neither receiving controlled sensory stimuli nor performing cognitive tasks. The data indicate that the distributions for the BOLD variation across space are skewed, with non-Gaussian tails, while the distributions for the temporal variation within individual voxels are predominantly Gaussian. The proportion of voxels that show non-Gaussian properties is highly correlated with the magnitude of head movement of the observers. In all observers, the white matter showed less variability than the gray matter. The distributions for the spatial and the temporal variations are robust across observers despite differences in the data acquisition methods (EPI vs. spiral) and magnetic field strength (1.5 vs. 3 T). In most cases, the non-Gaussian tails of the spatial distribution can be eliminated by normalizing the amplitude in each voxel to its standard deviation before cumulating across voxels. We therefore recommend such a normalization procedure before any data manipulations are performed on fMRI data.

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Year:  2003        PMID: 14568479     DOI: 10.1016/S1053-8119(03)00358-6

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


  4 in total

1.  Logarithmic transformation for high-field BOLD fMRI data.

Authors:  Scott M Lewis; Trenton A Jerde; Charidimos Tzagarakis; Pavlos Gourtzelidis; Maria-Alexandra Georgopoulos; Nikolaos Tsekos; Bagrat Amirikian; Seong-Gi Kim; Kâmil Uğurbil; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2005-07-15       Impact factor: 1.972

2.  Effect of finger tracking combined with electrical stimulation on brain reorganization and hand function in subjects with stroke.

Authors:  Ela Bhatt; Ashima Nagpal; Kristine H Greer; Tiffany K Grunewald; Jennifer L Steele; Jeff W Wiemiller; Scott M Lewis; James R Carey
Journal:  Exp Brain Res       Date:  2007-06-12       Impact factor: 1.972

3.  Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task.

Authors:  S J Hanson; A D Gagliardi; C Hanson
Journal:  J Comput Neurosci       Date:  2008-12-23       Impact factor: 1.621

4.  Vector Auto-Regressive Deep Neural Network: A Data-Driven Deep Learning-Based Directed Functional Connectivity Estimation Toolbox.

Authors:  Takuto Okuno; Alexander Woodward
Journal:  Front Neurosci       Date:  2021-11-23       Impact factor: 4.677

  4 in total

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