Evidence map›Paper›PMID 36789436›Full record

ArticlebioRxiv : the preprint server for biology2023

Manifold Learning for fMRI time-varying FC.

Javier Gonzalez-Castillo, Isabel Fernandez, Ka Chun Lam, Daniel A Handwerker, Francisco Pereira, Peter A Bandettini

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

5 · Who and what money

Authors and funding

6 authors.

Javier Gonzalez-CastilloSection on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD.
Isabel FernandezSection on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD.
Ka Chun LamMachine Learning Group, National Institute of Mental Health, Bethesda, MD.
Daniel A HandwerkerSection on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD.
Francisco PereiraMachine Learning Group, National Institute of Mental Health, Bethesda, MD.
Peter A BandettiniSection on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD.

Funding

Functional MRI Method DevelopmentZIAMH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER · 2009 to 2025
$38.4M
Machine Learning TeamZICMH002968 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PEREIRA, FRANCISCO · 2018 to 2025
$13.9M
Intramural NIH HHS ZIA MH002783Intramural NIH HHS ZIC MH002968
6 · The paper itself

Abstract

Whole-brain functional connectivity (

Identifiers

PMID36789436
PMCPMC9928030

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.