Evidence map›Paper›PMID 18958221›Full record

ArticleFrontiers in human neuroscience2007

Baseline shifts do not predict attentional modulation of target processing during feature-based visual attention.

Sean P Fannon, Clifford D Saron, George R Mangun

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Hierarchical Organization of Human Visual Feature Attention Control.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Shape-specific preparatory activity mediates attention to targets in human visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
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.

Sean P FannonCenter for Mind and Brain, University of California at Davis Davis, CA 95618, USA.
Clifford D Saron
George R Mangun

Funding

ERP and fMRI Studies of Visual AttentionR01MH055714 · NIMH · UNIVERSITY OF CALIFORNIA DAVIS · PI MANGUN, GEORGE R · 1997 to 2011
$2.5M
NIMH NIH HHS R01 MH055714
6 · The paper itself

Abstract

Cues that direct selective attention to a spatial location have been observed to increase baseline neural activity in visual areas that represent a to-be-attended stimulus location. Analogous attention-related baseline shifts have also been observed in response to attention-directing cues for non-spatial stimulus features. It has been proposed that baseline shifts with preparatory attention may serve as the mechanism by which attention modulates the responses to subsequent visual targets that match the attended location or feature. Using functional MRI, we localized color- and motion-sensitive visual areas in individual subjects and investigated the relationship between cue-induced baseline shifts and the subsequent attentional modulation of task-relevant target stimuli. Although attention-directing cues often led to increased background neural activity in feature specific visual areas, these increases were not correlated with either behavior in the task or subsequent attentional modulation of the visual targets. These findings cast doubt on the hypothesis that attention-related shifts in baseline neural activity result in selective sensory processing of visual targets during feature-based selective attention.

Indexed as

baseline shiftfMRIMTselective attentionV4V8visual cortexvisual feature

Identifiers

PMID18958221
PMCPMC2525984

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.