Processing, evaluating and understanding FMRI data with afni_proc.py.

Richard C Reynolds, Daniel R Glen, Gang Chen, Ziad S Saad, Robert W Cox, Paul A Taylor

Abstract readPreprint

In one paragraph

Article in ArXiv, 2024. 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

Updated by
Processing, evaluating, and understanding FMRI data with afni_proc.py.2024

5 · Who and what money

Authors and funding

6 authors.

Richard C ReynoldsScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, USA.

Daniel R GlenScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, USA.

Gang ChenScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, USA.

Ziad S SaadScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, USA.

Robert W CoxScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, USA.

Paul A TaylorScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, USA.

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025

$30.9M

Intramural NIH HHS ZIC MH002888

6 · The paper itself

Abstract

FMRI data are noisy, complicated to acquire, and typically go through many steps of processing before they are used in a study or clinical practice. Being able to visualize and understand the data from the start through the completion of processing, while being confident that each intermediate step was successful, is challenging. AFNI's

Identifiers

PMID39398207

PMCPMC11468194

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.