Evidence map›Paper›PMID 21483782›Full record

ArticleFrontiers in systems neuroscience2011

Contrast Response Functions for Single Gabor Patches: ROI-Based Analysis Over-Represents Low-Contrast Patches for GE BOLD.

Jennifer F Schumacher, Serena K Thompson, Cheryl A Olman

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jennifer F SchumacherGraduate Program in Neuroscience, University of Minnesota Minneapolis, MN, USA.
Serena K Thompson
Cheryl A Olman

Funding

ZOOMED FUNCT IMAGING IN HUMAN BRAIN AT 7T W/ SIMULT HIGH SPATIAL &TEMPORAL RESP41RR008079 · NCRR · UNIVERSITY OF MINNESOTA TWIN CITIES · PI VAN DE MOORTELE, PIERRE-FRANCOIS · 1993 to 2011
$16.3M
Neuroscience Cores For MR Studies of the BrainP30NS057091 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2006 to 2011
$8.5M
Object Perception: Mechanisms for the Resolution of AmbiguityR01EY015261 · NEI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI HE, SHENG, KERSTEN, DANIEL J · 2004 to 2010
$2.2M
NCRR NIH HHS P41 RR008079NEI NIH HHS R01 EY015261NINDS NIH HHS P30 NS057091
6 · The paper itself

Abstract

important for the interpretation of bold fmri data is a linear relationship between the bold response and the underlying neural activityincreased BOLD responses should reflect proportionate increases in the underlying neural activity. While previous studies have demonstrated a linear relationship between the peak amplitude of the BOLD response and neural activity in primary visual cortex (V1), these studies have used stimuli that excite large areas of cortex, and the linearity of the BOLD response has not been demonstrated when only a small patch of cortex is stimulated. The BOLD response to isolated Gabor patches of increasing contrast was measured with gradient echo (GE) BOLD and spin echo (SE) BOLD at 7 T. Our primary finding is notable spatial heterogeneity of the BOLD contrast response, particularly for the GE BOLD data, resulting in a more reliably linear relationship between BOLD data and estimated neural responses in the center of the cortical representations of the individual Gabor patches than near the edges. A control experiment with larger sinusoidal grating patches confirms that the observed sensitivity to voxel selection in the regions of interest-based analysis is unique to the small stimuli.

Indexed as

contrastfMRIprimary visual cortexpsychophysicsspin echo BOLD

Identifiers

PMID21483782
PMCPMC3070213

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.