Evidence map›Paper›PMID 34744623›Full record

ArticleFrontiers in neuroscience2021

A Quantitative Data-Driven Analysis Framework for Resting-State Functional Magnetic Resonance Imaging: A Study of the Impact of Adult Age.

Xia Li, Håkan Fischer, Amirhossein Manzouri, Kristoffer N T Månsson, Tie-Qiang Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 44% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. 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

5 authors at 2 institutions in 2 countries.

Xia LiInstitute of Informatics Engineering, China Jiliang University, Hangzhou, China.
Håkan FischerDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Amirhossein ManzouriDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Kristoffer N T MånssonDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Tie-Qiang LiInstitute of Informatics Engineering, China Jiliang University, Hangzhou, China.
Stockholm University · SEChina Jiliang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to introduce a new quantitative data-driven analysis (QDA) framework for the analysis of resting-state fMRI (R-fMRI) and use it to investigate the effect of adult age on resting-state functional connectivity (RFC). Whole-brain R-fMRI measurements were conducted on a 3T clinical MRI scanner in 227 healthy adult volunteers (

Indexed as

adult ageconnectivity density index (CDI)connectivity strength index (CSI)quantitative data-driven analysis (QDA)resting-state functional connectivity (RFC)resting-state functional magnetic resonance imaging (R-fMRI)

Identifiers

PMID34744623
PMCPMC8565286
OpenAlexW3207483171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.