Literature DB >> 17306989

Spatio-temporal point-spread function of fMRI signal in human gray matter at 7 Tesla.

Amir Shmuel1, Essa Yacoub, Denis Chaimow, Nikos K Logothetis, Kamil Ugurbil.   

Abstract

This study investigated the spatio-temporal properties of blood-oxygenation level-dependent (BOLD) functional MRI (fMRI) signals in gray matter, excluding the confounding, inaccurate contributions of large blood vessels. We quantified the spatial specificity of the BOLD response, and we investigated whether this specificity varies as a function of time from stimulus onset. fMRI was performed at 7 Tesla (T), where mapping signals of parenchymal origin are easily detected. Two abutting visual stimuli were adjusted to elicit responses centered on a flat gray matter region in V1. fMRI signals were sampled at high-resolution orthogonal to the retinotopic boundary between the representations of the stimuli. Signals from macro-vessels were masked out. Principal component analysis revealed that the first component in space accounted for 96.2+/-1.6% of the variance over time. The spatial profile of this time-invariant response was fitted with a model consisting of the convolution of a step function and a Gaussian point-spread-function (PSF). The mean full-width at half-maximal-height of the fitted PSF was 2.34+/-0.20 mm. Based on simulations of confounding effects, we estimate that BOLD PSF in human gray matter is smaller than 2 mm. A time-point to time-point analysis revealed that the PSF obtained during the 3rd (1.52 mm) and 4th (1.99 mm) seconds of stimulation were narrower than the mean PSF obtained from the 5th second on (2.42+/-0.15 mm). The position of the edge of the responding region was offset (1.72+/-0.07 mm) from the boundary of the stimulated region, indicating a spatial non-linearity. Simulations showed that the effective contrast between active and non-active columns is reduced 25-fold when imaged using a PSF whose width is equal to the cycle of the imaged columnar organization. Thus, the PSF of the hyper-oxygenated BOLD response in human gray matter is narrower than that reported at 1.5 T, where macro-vessels dominate the mapping signals. The initial phase of this response is more spatially specific than later phases. Data acquisition methods that suppress macro-vascular signals should increase the spatial specificity of BOLD fMRI. The choice of optimal stimulus duration represents a trade-off between the spatial specificity and the overhead associated with short stimulus duration.

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Year:  2007        PMID: 17306989      PMCID: PMC2989431          DOI: 10.1016/j.neuroimage.2006.12.030

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


  55 in total

1.  Imaging brain function in humans at 7 Tesla.

Authors:  E Yacoub; A Shmuel; J Pfeuffer; P F Van De Moortele; G Adriany; P Andersen; J T Vaughan; H Merkle; K Ugurbil; X Hu
Journal:  Magn Reson Med       Date:  2001-04       Impact factor: 4.668

2.  Non-invasive visualization of cortical columns by fMRI.

Authors:  A Grinvald; H Slovin; I Vanzetta
Journal:  Nat Neurosci       Date:  2000-02       Impact factor: 24.884

3.  Diffusion-weighted spin-echo fMRI at 9.4 T: microvascular/tissue contribution to BOLD signal changes.

Authors:  S P Lee; A C Silva; K Ugurbil; S G Kim
Journal:  Magn Reson Med       Date:  1999-11       Impact factor: 4.668

4.  Functional MRI at 1.5 tesla: a comparison of the blood oxygenation level-dependent signal and electrophysiology.

Authors:  E A Disbrow; D A Slutsky; T P Roberts; L A Krubitzer
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-15       Impact factor: 11.205

5.  Localized cerebral blood flow response at submillimeter columnar resolution.

Authors:  T Q Duong; D S Kim; K Uğurbil; S G Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-28       Impact factor: 11.205

6.  High-resolution BOLD venographic imaging: a window into brain function.

Authors:  J R Reichenbach; E M Haacke
Journal:  NMR Biomed       Date:  2001 Nov-Dec       Impact factor: 4.044

7.  Investigation of the initial dip in fMRI at 7 Tesla.

Authors:  E Yacoub; A Shmuel; J Pfeuffer; P F Van De Moortele; G Adriany; K Ugurbil; X Hu
Journal:  NMR Biomed       Date:  2001 Nov-Dec       Impact factor: 4.044

8.  Brief visual stimulation allows mapping of ocular dominance in visual cortex using fMRI.

Authors:  B G Goodyear; R S Menon
Journal:  Hum Brain Mapp       Date:  2001-12       Impact factor: 5.038

9.  Human ocular dominance columns as revealed by high-field functional magnetic resonance imaging.

Authors:  K Cheng; R A Waggoner; K Tanaka
Journal:  Neuron       Date:  2001-10-25       Impact factor: 17.173

10.  BOLD based functional MRI at 4 Tesla includes a capillary bed contribution: echo-planar imaging correlates with previous optical imaging using intrinsic signals.

Authors:  R S Menon; S Ogawa; X Hu; J P Strupp; P Anderson; K Uğurbil
Journal:  Magn Reson Med       Date:  1995-03       Impact factor: 4.668

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  103 in total

1.  Evidence for a motor somatotopy in the cerebellar dentate nucleus--an FMRI study in humans.

Authors:  Michael Küper; Markus Thürling; Roxana Stefanescu; Stefan Maderwald; Johannes Roths; Hans G Elles; Mark E Ladd; Jörn Diedrichsen; Dagmar Timmann
Journal:  Hum Brain Mapp       Date:  2011-09-21       Impact factor: 5.038

2.  Comparison of functional connectivity in default mode and sensorimotor networks at 3 and 7T.

Authors:  Joanne R Hale; Matthew J Brookes; Emma L Hall; Johanna M Zumer; Claire M Stevenson; Susan T Francis; Peter G Morris
Journal:  MAGMA       Date:  2010-07-13       Impact factor: 2.310

3.  Partial Correlation-Based Retinotopically Organized Resting-State Functional Connectivity Within and Between Areas of the Visual Cortex Reflects More Than Cortical Distance.

Authors:  Debra Ann Dawson; Jack Lam; Lindsay B Lewis; Felix Carbonell; Janine D Mendola; Amir Shmuel
Journal:  Brain Connect       Date:  2016-02

Review 4.  The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies.

Authors:  Stephanie Burnett; Catherine Sebastian; Kathrin Cohen Kadosh; Sarah-Jayne Blakemore
Journal:  Neurosci Biobehav Rev       Date:  2010-10-29       Impact factor: 8.989

Review 5.  Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies.

Authors:  Gary H Glover; Bryon A Mueller; Jessica A Turner; Theo G M van Erp; Thomas T Liu; Douglas N Greve; James T Voyvodic; Jerod Rasmussen; Gregory G Brown; David B Keator; Vince D Calhoun; Hyo Jong Lee; Judith M Ford; Daniel H Mathalon; Michele Diaz; Daniel S O'Leary; Syam Gadde; Adrian Preda; Kelvin O Lim; Cynthia G Wible; Hal S Stern; Aysenil Belger; Gregory McCarthy; Burak Ozyurt; Steven G Potkin
Journal:  J Magn Reson Imaging       Date:  2012-02-07       Impact factor: 4.813

6.  Population receptive field estimates in human visual cortex.

Authors:  Serge O Dumoulin; Brian A Wandell
Journal:  Neuroimage       Date:  2007-09-29       Impact factor: 6.556

7.  Ultra-high field parallel imaging of the superior parietal lobule during mental maze solving.

Authors:  Trenton A Jerde; Scott M Lewis; Ute Goerke; Pavlos Gourtzelidis; Charidimos Tzagarakis; Joshua Lynch; Steen Moeller; Pierre-François Van de Moortele; Gregor Adriany; Jeran Trangle; Kâmil Uğurbil; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2008-02-28       Impact factor: 1.972

Review 8.  Current trends and challenges in MRI acquisitions to investigate brain function.

Authors:  Bradley P Sutton; Cheng Ouyang; Dimitrios C Karampinos; Gregory A Miller
Journal:  Int J Psychophysiol       Date:  2009-02-21       Impact factor: 2.997

9.  3D mapping of somatotopic reorganization with small animal functional MRI.

Authors:  Xin Yu; Shumin Wang; Der-Yow Chen; Stephen Dodd; Artem Goloshevsky; Alan P Koretsky
Journal:  Neuroimage       Date:  2009-09-18       Impact factor: 6.556

Review 10.  [Methodological problems with clinical functional MRI investigations].

Authors:  T Foki; R Beisteiner
Journal:  Radiologe       Date:  2010-02       Impact factor: 0.635

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