Evidence map›Paper›PMID 35585923›Full record

ArticleFrontiers in neuroscience2022

Feasibility of FreeSurfer Processing for T1-Weighted Brain Images of 5-Year-Olds: Semiautomated Protocol of FinnBrain Neuroimaging Lab.

Elmo P Pulli, Eero Silver, Venla Kumpulainen, Anni Copeland, Harri Merisaari, Jani Saunavaara, Riitta Parkkola, Tuire Lähdesmäki, Ekaterina Saukko, Saara Nolvi and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 22 citations in OpenAlex.

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  12. Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

15 authors at 3 institutions in 2 countries.

Elmo P PulliTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Eero SilverTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Venla KumpulainenTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Anni CopelandTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Harri MerisaariTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Jani SaunavaaraDepartment of Medical Physics, Turku University Hospital, Turku, Finland.
Riitta ParkkolaDepartment of Radiology, University of Turku, Turku, Finland.
Tuire LähdesmäkiDepartment of Pediatrics and Adolescent Medicine, Turku University Hospital, University of Turku, Turku, Finland.
Ekaterina SaukkoDepartment of Radiology, Turku University Hospital, Turku, Finland.
Saara NolviTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Eeva-Leena KatajaTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Riikka KorjaTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Linnea KarlssonTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Hasse KarlssonTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Jetro J TuulariTurku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
University of Turku · FITurku University Hospital · FIUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric neuroimaging is a quickly developing field that still faces important methodological challenges. Pediatric images usually have more motion artifact than adult images. The artifact can cause visible errors in brain segmentation, and one way to address it is to manually edit the segmented images. Variability in editing and quality control protocols may complicate comparisons between studies. In this article, we describe in detail the semiautomated segmentation and quality control protocol of structural brain images that was used in FinnBrain Birth Cohort Study and relies on the well-established FreeSurfer v6.0 and ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) consortium tools. The participants were typically developing 5-year-olds [

Indexed as

brainbrain growth and developmentchildmagnetic resonance imagingneuroimaging

Identifiers

PMID35585923
PMCPMC9108497
OpenAlexW4225272913

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.