Literature DB >> 17157534

The effect of large veins on spatial localization with GE BOLD at 3 T: Displacement, not blurring.

Cheryl A Olman1, Souheil Inati, David J Heeger.   

Abstract

We used two different methods of region of interest (ROI) definition to investigate the spatial accuracy of functional magnetic resonance imaging (fMRI) at low and high spatial resolution. The "single-condition localizer" consisted of block alternation between a target stimulus and a mean gray background. The "differential localizer" consisted of block alternation between the target stimulus and another stimulus that filled the complement of the visual field. A separate series of scans, in which the target stimulus was presented briefly with long inter-stimulus intervals, was used to measure the hemodynamic impulse response function (HIRF). As expected, the differential localizer defined more restricted ROIs that better matched the predicted cortical representation of the target stimulus. However, at low resolution (3-mm isotropic) many voxels that responded positively to the target stimulus in the differential protocol responded negatively to the target stimulus in the single-condition localizer and in the HIRF measurements. The localization errors were attributed to voxels near large veins, which were identified based on low mean intensity and high variance. At high resolution (1.2-mm isotropic), the effects of large veins were present, but affected a smaller number of voxels. Thus, the use of differential localizers does not necessarily result in a more accurate indication of the underlying neural activity. Localization errors are reduced at higher spatial resolutions and can be eliminated by identification and removal of voxels dominated by large veins.

Mesh:

Year:  2006        PMID: 17157534     DOI: 10.1016/j.neuroimage.2006.08.045

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


  36 in total

1.  Large-scale, high-resolution neurophysiological maps underlying FMRI of macaque temporal lobe.

Authors:  Elias B Issa; Alex M Papanastassiou; James J DiCarlo
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

Review 2.  Modeling fMRI signals can provide insights into neural processing in the cerebral cortex.

Authors:  Simo Vanni; Fariba Sharifian; Hanna Heikkinen; Ricardo Vigário
Journal:  J Neurophysiol       Date:  2015-05-13       Impact factor: 2.714

3.  Dissociation between neural signatures of stimulus and choice in population activity of human V1 during perceptual decision-making.

Authors:  Kyoung Whan Choe; Randolph Blake; Sang-Hun Lee
Journal:  J Neurosci       Date:  2014-02-12       Impact factor: 6.167

4.  High-resolution BOLD fMRI measurements of local orientation-dependent contextual modulation show a mismatch between predicted V1 output and local BOLD response.

Authors:  Jennifer F Schumacher; Cheryl A Olman
Journal:  Vision Res       Date:  2010-04-09       Impact factor: 1.886

5.  Intracortical depth analyses of frequency-sensitive regions of human auditory cortex using 7TfMRI.

Authors:  Jyrki Ahveninen; Wei-Tang Chang; Samantha Huang; Boris Keil; Norbert Kopco; Stephanie Rossi; Giorgio Bonmassar; Thomas Witzel; Jonathan R Polimeni
Journal:  Neuroimage       Date:  2016-09-05       Impact factor: 6.556

6.  Hemifield columns co-opt ocular dominance column structure in human achiasma.

Authors:  Cheryl A Olman; Pinglei Bao; Stephen A Engel; Andrea N Grant; Chris Purington; Cheng Qiu; Michael-Paul Schallmo; Bosco S Tjan
Journal:  Neuroimage       Date:  2016-12-23       Impact factor: 6.556

7.  An investigation of positive and inverted hemodynamic response functions across multiple visual areas.

Authors:  Alexander M Puckett; Jedidiah R Mathis; Edgar A DeYoe
Journal:  Hum Brain Mapp       Date:  2014-07-04       Impact factor: 5.038

8.  Mapping hV4 and ventral occipital cortex: the venous eclipse.

Authors:  Jonathan Winawer; Hiroshi Horiguchi; Rory A Sayres; Kaoru Amano; Brian A Wandell
Journal:  J Vis       Date:  2010-05-01       Impact factor: 2.240

Review 9.  Analysis strategies for high-resolution UHF-fMRI data.

Authors:  Jonathan R Polimeni; Ville Renvall; Natalia Zaretskaya; Bruce Fischl
Journal:  Neuroimage       Date:  2017-04-29       Impact factor: 6.556

10.  Feedback of visual object information to foveal retinotopic cortex.

Authors:  Mark A Williams; Chris I Baker; Hans P Op de Beeck; Won Mok Shim; Sabin Dang; Christina Triantafyllou; Nancy Kanwisher
Journal:  Nat Neurosci       Date:  2008-11-02       Impact factor: 24.884

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