Evidence map›Paper›PMID 42434500›Full record

ArticleData in brief2026

A single-echo/multi-echo BOLD fMRI test-retest dataset.

Taylor Salo, S Parker Singleton, Corey Horien, Matthew Cieslak, Elizabeth A Flook, Sage Rush, Brooke L Sevchik, Tien T Tong, Manuel Taso, M Dylan Tisdall and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Taylor SaloPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
S Parker SingletonPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Corey HorienPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Matthew CieslakPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Elizabeth A FlookPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sage RushPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Brooke L SevchikPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Tien T TongPenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Manuel TasoDepartment of Radiology, Perelman School of Medicine, 3400 Spruce Street, University of Pennsylvania, Philadelphia, PA, 19104, USA.
M Dylan TisdallDepartment of Radiology, Perelman School of Medicine, 3400 Spruce Street, University of Pennsylvania, Philadelphia, PA, 19104, USA.
David R RoalfDepartment of Psychiatry, Perelman School of Medicine, 3535 Market Street, University of Pennsylvania, PA, 19104, USA.
Theodore D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Funding

Educating Physician Scientists in Psychiatry (EPSP): Firing up the next generation of translational and clinical neuroscientistsR25MH119043 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Mariella De Biasi, MATTHEW S KAYSER · 2019 to 2026
$1.6M
NIMH NIH HHS R25 MH119043
6 · The paper itself

Abstract

Functional MRI (fMRI) remains one of the primary tools for non-invasive studies of brain activity and organization in humans. Recently, multi-echo imaging has generated interest due to the improved signal-to-noise and potential for superior denoising. In parallel, developments in MRI processing techniques, such as the use of phase data and advanced denoising methods, have continued to advance the field. An important step towards adopting these methodologies is directly comparing them to existing techniques using real-world data. We present a neuroimaging dataset that allows for within-subject comparison of single-echo vs multi-echo imaging with cutting-edge imaging acquisition parameters such as magnitude and phase reconstruction and no-excitation (noise only) volumes. The sample includes test-retest data from eight young adults. Each session includes a T1-weighted anatomical scan, four resting-state functional MRI scans (two each for single-echo and complex multi-echo), and a multi-echo task-based functional MRI scan from a fractal

Indexed as

fMRIFunctional connectivityFunctional imagingMulti-echoReliabilityWorking memory

Identifiers

PMID42434500
PMCPMC13351147

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.