Evidence map›Paper›PMID 31127004›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019

Functional MRI and EEG Index Complementary Attentional Modulations.

Sirawaj Itthipuripat, Thomas C Sprague, John T Serences

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

34 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Heterogeneous Effects of Cognitive Arousal on the Contrast Response in Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Article
  8. Review
  9. Conflicting Sensory Information Sharpens the Neural Representations of Early Selective Visuospatial Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  10. Article
  11. Feature-Specific Salience Maps in Human Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  12. Article
  13. Article
  14. Dissociable Neural Mechanisms Underlie the Effects of Attention on Visual Appearance and Response Bias.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  15. Article
  16. Article
  17. Perceptual Difficulty Regulates Attentional Gain Modulations in Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  18. Review
  19. Saturating Nonlinearities of Contrast Response in Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  20. 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 at 3 institutions in 4 countries.

Sirawaj ItthipuripatNeurosciences Graduate Program, itthipuripat.sirawaj@gmail.com tsprague@ucsb.edu.ORCID 0000-0001-9302-0964
Thomas C SpragueNeurosciences Graduate Program, itthipuripat.sirawaj@gmail.com tsprague@ucsb.edu.ORCID 0000-0001-9530-2463
John T SerencesNeurosciences Graduate Program.ORCID 0000-0002-8551-5147
University of California San Diego · USUniversity of California, Santa Barbara · USVanderbilt University · US

Funding

Neurosciences Graduate Training ProgramT32NS061847 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Brenda L Bloodgood · 2008 to 2026
$7.7M
TRAINING PROGRAM IN COGNITIVE NEUROSCIENCET32MH020002 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEJNOWSKI, TERRENCE J · 1999 to 2020
$6.1M
TRAINING IN VISUAL NEUROSCIENCET32EY007136 · NEI · NEW YORK UNIVERSITY · PI J ANTHONY MOVSHON · 1993 to 2026
$5.3M
Adaptive population codes for flexible visually-guided behaviorsR01EY025872 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI John T Serences · 2016 to 2026
$4.5M
Howard Hughes Medical InstituteNEI NIH HHS R01 EY025872NEI NIH HHS T32 EY007136NIMH NIH HHS T32 MH020002NINDS NIH HHS T32 NS061847
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are two noninvasive methods commonly used to study neural mechanisms supporting visual attention in humans. Studies using these tools, which have complementary spatial and temporal resolutions, implicitly assume they index similar underlying neural modulations related to external stimulus and internal attentional manipulations. Accordingly, they are often used interchangeably for constraining understanding about the impact of bottom-up and top-down factors on neural modulations. To test this core assumption, we simultaneously manipulated bottom-up sensory inputs by varying stimulus contrast and top-down cognitive modulations by changing the focus of spatial attention. Each of the male and female subjects participated in both fMRI and EEG sessions performing the same experimental paradigm. We found categorically different patterns of attentional modulation on fMRI activity in early visual cortex and early stimulus-evoked potentials measured via EEG (e.g., the P1 component and steady-state visually-evoked potentials): fMRI activation scaled additively with attention, whereas evoked EEG components scaled multiplicatively with attention. However, across longer time scales, a contralateral negative-going potential and oscillatory EEG signals in the alpha band revealed additive attentional modulation patterns like those observed with fMRI. These results challenge prior assumptions that fMRI and early stimulus-evoked potentials measured with EEG can be interchangeably used to index the same neural mechanisms of attentional modulations at different spatiotemporal scales. Instead, fMRI measures of attentional modulations are more closely linked with later EEG components and alpha-band oscillations. Considered together, hemodynamic and electrophysiological signals can jointly constrain understanding of the neural mechanisms supporting cognition.

Indexed as

AdultAttentionBrain MappingElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleVisual Cortexattentioncontrast response functionsEEGfMRI

Identifiers

PMID31127004
PMCPMC6668200
OpenAlexW2945742922

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.