Evidence map›Paper›PMID 30927361›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

Maturational Changes in Human Dorsal and Ventral Visual Networks.

Kristina T R Ciesielski, Moriah E Stern, Adele Diamond, Sheraz Khan, Evelina A Busa, Timothy E Goldsmith, Andre van der Kouwe, Bruce Fischl, Bruce R Rosen

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  6. Article
  7. Review
  8. What Does Dorsal Cortex Contribute to Perception?Open mind : discoveries in cognitive science · 2020
    Article
  9. 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

9 authors at 5 institutions in 2 countries.

Kristina T R CiesielskiDepartment of Radiology, MGH/MIT/HMS A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown MA 02129, USA.
Moriah E SternPediatric Neuroscience Laboratory, Department of Psychology, Psychology Clinical Neuroscience Center, University of New Mexico, Logan Hall, Albuquerque NM 87131, USA.
Adele DiamondDepartment of Psychiatry, University of British Columbia, Vancouver BC V6T2A1, Canada.
Sheraz KhanDepartment of Radiology, MGH/MIT/HMS A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown MA 02129, USA.
Evelina A BusaDepartment of Radiology, MGH/MIT/HMS A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown MA 02129, USA.
Timothy E GoldsmithPediatric Neuroscience Laboratory, Department of Psychology, Psychology Clinical Neuroscience Center, University of New Mexico, Logan Hall, Albuquerque NM 87131, USA.
Andre van der KouweDepartment of Radiology, MGH/MIT/HMS A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown MA 02129, USA.
Bruce FischlDepartment of Radiology, MGH/MIT/HMS A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown MA 02129, USA.
Bruce R RosenDepartment of Radiology, MGH/MIT/HMS A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown MA 02129, USA.
Harvard University · USUniversity of New Mexico · USAthinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · USUniversity of British Columbia · CA

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
NIBIB NIH HHS P41 EB015896
6 · The paper itself

Abstract

Developmental neuroimaging studies report the emergence of increasingly diverse cognitive functions as closely entangled with a rise-fall modulation of cortical thickness (CTh), structural cortical and white-matter connectivity, and a time-course for the experience-dependent selective elimination of the overproduced synapses. We examine which of two visual processing networks, the dorsal (DVN; prefrontal, parietal nodes) or ventral (VVN; frontal-temporal, fusiform nodes) matures first, thus leading the neuro-cognitive developmental trajectory. Three age-dependent measures are reported: (i) the CTh at network nodes; (ii) the matrix of intra-network structural connectivity (edges); and (iii) the proficiency in network-related neuropsychological tests. Typically developing children (age ~6 years), adolescents (~11 years), and adults (~21 years) were tested using multiple-acquisition structural T1-weighted magnetic resonance imaging (MRI) and neuropsychology. MRI images reconstructed into a gray/white/pial matter boundary model were used for CTh evaluation. No significant group differences in CTh and in the matrix of edges were found for DVN (except for the left prefrontal), but a significantly thicker cortex in children for VVN with reduced prefrontal ventral-fusiform connectivity and with an abundance of connections in adolescents. The higher performance in children on tests related to DVN corroborates the age-dependent MRI structural connectivity findings. The current findings are consistent with an earlier maturational course of DVN.

Indexed as

AdolescentBrain MappingCerebral CortexChildCognitionFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleVisual PathwaysYoung Adultbrain maturationcortical thicknessdorsal and ventral visual networksnetwork connectivityneuropsychological proficiency

Identifiers

PMID30927361
PMCPMC7963118
OpenAlexW2934726400

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.