Evidence map›Paper›PMID 42488852›Full record

ArticleBiomedical signal processing and control2024

Amir Norouzpour, Tawna L Roberts

Abstract read
In one paragraph

Article in Biomedical signal processing and control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Amir NorouzpourSpencer Center for Vision Research, Byers Eye Institute, Stanford University, USA.
Tawna L RobertsSpencer Center for Vision Research, Byers Eye Institute, Stanford University, USA.

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Afferent and Efferent Visual Systems During Abnormal Vision DevelopmentR01EY029307 · NEI · STANFORD UNIVERSITY · PI ROBERTS, TAWNA · 2020 to 2024
$3.0M
NEI NIH HHS P30 EY026877NEI NIH HHS R01 EY029307
6 · The paper itself

Abstract

Introduction: Steady-state evoked potentials (ssEP) provide objective tools for studying brain function in different experimental conditions. Frequency components of brain response to repetitive stimuli have been analyzed using Methods: Frequency components of brain response are extracted from ssEP data using Fourier transform. Discrete Fourier measurements at frequency of interest are represented on the complex plane for statistical analyses. We present a new statistic called Results: We demonstrate the validity of Conclusion:

Indexed as

Fourier analysisMultivariate analysis of variance (MANOVA)Steady-state evoked potentialTcirc2 statisticWelch’s test

Identifiers

PMID42488852
PMCPMC13390434

What OpenQuestion holds

Textmetadata
LicenceTDM
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.