Evidence map›Paper›PMID 25405938›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2015

Task Dependence, Tissue Specificity, and Spatial Distribution of Widespread Activations in Large Single-Subject Functional MRI Datasets at 7T.

Javier Gonzalez-Castillo, Colin W Hoy, Daniel A Handwerker, Vinai Roopchansingh, Souheil J Inati, Ziad S Saad, Robert W Cox, Peter A Bandettini

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Article
  8. A Shared Threat-Anticipation Circuit Is Dynamically Engaged at Different Moments by Certain and Uncertain Threat.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  9. Article
  10. Whole-brain, gray, and white matter time-locked functional signal changes with simple tasks and model-free analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. A Complex Systems Perspective on Neuroimaging Studies of Behavior and Its Disorders.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Anxiety and the Neurobiology of Temporally Uncertain Threat Anticipation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  20. Review
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

8 authors.

Javier Gonzalez-CastilloSection on Functional Imaging Methods, Laboratory of Brain and Cognition.
Colin W HoySection on Functional Imaging Methods, Laboratory of Brain and Cognition.
Daniel A HandwerkerSection on Functional Imaging Methods, Laboratory of Brain and Cognition.
Vinai RoopchansinghFunctional MRI Facility.
Souheil J InatiFunctional MRI Facility.
Ziad S SaadScientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Robert W CoxScientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Peter A BandettiniSection on Functional Imaging Methods, Laboratory of Brain and Cognition Functional MRI Facility.

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Intramural NIH HHS
6 · The paper itself

Abstract

It was recently shown that when large amounts of task-based blood oxygen level-dependent (BOLD) data are combined to increase contrast- and temporal signal-to-noise ratios, the majority of the brain shows significant hemodynamic responses time-locked with the experimental paradigm. Here, we investigate the biological significance of such widespread activations. First, the relationship between activation extent and task demands was investigated by varying cognitive load across participants. Second, the tissue specificity of responses was probed using the better BOLD signal localization capabilities of a 7T scanner. Finally, the spatial distribution of 3 primary response types--namely positively sustained (pSUS), negatively sustained (nSUS), and transient--was evaluated using a newly defined voxel-wise waveshape index that permits separation of responses based on their temporal signature. About 86% of gray matter (GM) became significantly active when all data entered the analysis for the most complex task. Activation extent scaled with task load and largely followed the GM contour. The most common response type was nSUS BOLD, irrespective of the task. Our results suggest that widespread activations associated with extremely large single-subject functional magnetic resonance imaging datasets can provide valuable information about the functional organization of the brain that goes undetected in smaller sample sizes.

Indexed as

AdultAttentionBrainBrain MappingData Interpretation, StatisticalDiscrimination, PsychologicalFemaleGray MatterHumansMagnetic Resonance ImagingMaleResearch DesignVisual PerceptionYoung Adultactivation extentnegative BOLDsingle subjecttransients

Identifiers

PMID25405938
PMCPMC4635913

What OpenQuestion holds

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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.