Cited by 22Visual perception and processing mechanismsNeural dynamics and brain functionFunctional Brain Connectivity Studies

Visual temporal frequency preference shows a distinct cortical architecture using fMRI

Open access
Chai, Yuhui, Handwerker, Daniel A., Marrett, Sean, Gonzalez-Castillo, Javier, Merriam, Elisha P., Hall, Andrew, Molfese, Peter J., Bandettini, Peter A.·2019·NeuroImage

Abstract

Studies of visual temporal frequency preference typically examine frequencies under 20 Hz and measure local activity to evaluate the sensitivity of different cortical areas to variations in temporal frequencies. Most of these studies have not attempted to map preferred temporal frequency within and across visual areas, nor have they explored in detail, stimuli at gamma frequency, which recent research suggests may have potential clinical utility. In this study, we address this gap by using functional magnetic resonance imaging (fMRI) to measure response to flickering visual stimuli varying in frequency from 1 to 40 Hz. We apply stimulation in both a block design to examine task response and a steady-state design to examine functional connectivity. We observed distinct activation patterns between 1 Hz and 40 Hz stimuli. We also found that the correlation between medial thalamus and visual cortex was modulated by the temporal frequency. The modulation functions and tuned frequencies are different for the visual activity and thalamo-visual correlations. Using both fMRI activity and connectivity measurements, we show evidence for a temporal frequency specific organization across the human visual system.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2019.04.048

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Peak activations in V1 and secondary visual areas are stimulation dependent and occur at distinct temporal frequencies (4 or 8 Hz in V1, and 20 or 40 Hz in secondary visual areas for chromatic or luminance flickering, respectively).

    “Previous literature reported that the peak activations in V1 and secondary visual areas are stimulation dependent and occur at distinct temporal frequencies (4 or 8 Hz in V1, and 20 or 40 Hz in secondary visual areas for chromatic or luminance flickering, respectively) (Chai et al., 2019; Fox et al., 1986; Kastner et al., 2004; Kwong et al., 1992; Singh et al., 2000).”

    From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Chai et al., 2019

    The Results (pages unavailable) report a V1 ROI-mean peak near 8 Hz and many V1 voxels preferring 4 Hz; they also show stronger lateral-occipital responses at higher flicker frequencies. But the paper used black-to-white flicker, not separate chromatic and luminance flicker, and it does not establish the claimed 20- or 40-Hz peaks for secondary visual areas under those respective conditions. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Heterogeneity in the response to stimulation within V1 might be due to eccentricity, which we minimized by using a 3° foveal stimulation.

    “heterogeneity in the response to stimulation within V1 might be due to, for example, eccentricity (Chai et al., 2019), which we however minimized by using a 3° foveal stimulation.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chai, Y., Handwerker, D. A., Marrett, S., Gonzalez-Castillo, J., Merriam, E. P., Hall, A., Molfese, P. J., & Bandettini, P. A.
Affiliations
National Institutes of Health (US)
Corresponding author
Chai, Yuhui
Venue
NeuroImage
Publisher
Elsevier BV
Published
2019-08
Volume
197
Pages
13-23
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2938794028
Cited by
22
References
54
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 1 · 2018: 1
FWCI
0.87
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Mental Health (ZIAMH002783)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
gamma oscillations, flicker frequency, visual cortex, medial thalamus, cortical organization, block designs, temporal frequency tuning
MeSH terms
Adolescent, Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Photic Stimulation, Thalamus, Time Factors, Visual Cortex, Visual Pathways, Visual Perception, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review