Functional connectivity patterns as an early indicator of later very early preterm outcomes.

Elveda Gozdas, Nehal A Parikh, Lili He, S M Hadi Hosseini

Abstract read

In one paragraph

Article in Developmental cognitive neuroscience, 2026. 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

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

4 authors.

Elveda GozdasDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: elvedags@stanford.edu.

Nehal A ParikhNeurodevelopmental Disorders Prevention Center, Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.

Lili HeNeurodevelopmental Disorders Prevention Center, Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

S M Hadi HosseiniDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Predicting long-term outcomes in preterm infants using multimodal neuroimaging techniques and environmental factorsR00HD109507 · NICHD · STANFORD UNIVERSITY · PI Elveda Gozdas · 2025 to 2026

$498k

Predicting long-term outcomes in preterm infants using multimodal neuroimaging techniques and environmental factorsK99HD109507 · NICHD · STANFORD UNIVERSITY · PI GOZDAS, ELVEDA · 2022 to 2023

$264k

NICHD NIH HHS K99 HD109507NICHD NIH HHS R00 HD109507

6 · The paper itself

Abstract

Abnormal functional brain development associated with preterm birth has been widely reported; however, the functional brain architectures of later neurodevelopmental difficulties are not yet fully understood. Here, we applied connectome-based predictive modeling approaches to identify the brain networks associated with later neurocognitive scores at 2-3 years of age in very preterm infants (≤31 weeks' gestation, N = 79) using resting-state functional magnetic resonance imaging (rs-fMRI). The whole-brain functional connectome soon after birth successfully predicted verbal ability at 3 years of corrected age (r = 0.53, p=4.04x10

Indexed as

BrainConnectomeInfant, Extremely PrematureChild DevelopmentChild, PreschoolFemaleHumansInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleNeural PathwaysNeurodevelopmentNeurodevelopmental outcomesPredictionResting-state fMRIVery preterm infants

Identifiers

PMID41863864

DOI10.1016/j.dcn.2026.101711

PMCPMC13022636

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.