Evidence map›Paper›PMID 29080379›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Probabilistic tractography-based thalamic parcellation in healthy newborns and newborns with congenital heart disease.

Camilo Jaimes, Henry H Cheng, Janet Soul, Silvina Ferradal, Yogesh Rathi, Borjan Gagoski, Jane W Newburger, P Ellen Grant, Lilla Zöllei

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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.

Camilo JaimesDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Henry H ChengDepartment of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Janet SoulDepartment of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA.
Silvina FerradalFetal-Neonatal Neuroimaging and Developmental Science Center, Boston, Massachusetts, USA.
Yogesh RathiLaboratory of Mathematics in Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Borjan GagoskiFetal-Neonatal Neuroimaging and Developmental Science Center, Boston, Massachusetts, USA.
Jane W NewburgerDepartment of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
P Ellen GrantFetal-Neonatal Neuroimaging and Developmental Science Center, Boston, Massachusetts, USA.
Lilla ZölleiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA; all: Harvard Medical School, Boston, Massachusetts, USA.

Funding

Perinatal Brain Injury: Potential of Innovative NIRS to Optimize HypothermiaR01HD076258 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Patricia Ellen Grant, Pei-Yi Lin · 2014 to 2026
$7.2M
Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI POMEROY, SCOTT LOREN · 2016 to 2020
$5.2M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Age-Dependent Analysis Techniques for Pediatric Structural and Diffusion MRI DataR00HD061485 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI ZOLLEI, LILLA · 2012 to 2014
$706k
A 3.0 Tesla MRI System in a Neuroscience ICUS10RR019254 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2004 to 2004
$500k
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
Monitoring Brain Health in Neonatal Congenital Heart Disease with Bedside CMR02R21HD072505 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI GRANT, PATRICIA ELLEN · 2013 to 2014
$432k
NCRR NIH HHS S10 RR019254NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NICHD NIH HHS R00 HD061485NICHD NIH HHS R01 HD076258NICHD NIH HHS R21 HD072505NICHD NIH HHS U54 HD090255
6 · The paper itself

Abstract

backgroundGiven the central role of the thalamus in motor, sensory, and cognitive development, methods to study emerging thalamocortical connectivity in early infancy are of great interest. PURPOSE: To determine the feasibility of performing probabilistic tractography-based thalamic parcellation (PTbTP) in typically developing (TD) neonates and to compare the results with a pilot sample of neonates with congenital heart disease (CHD). STUDY TYPE: Institutional Review Board (IRB)-approved cross-sectional study. MODEL: We prospectively recruited 20 TD neonates and five CHD neonates (imaged preoperatively). FIELD STRENGTH/SEQUENCE: MRI was performed at 3.0T including diffusion-weighted imaging (DWI) and 3D magnetization prepared rapid gradient-echo (MPRAGE). ASSESSMENT: A radiologist and trained research assistants segmented the thalamus and seven cortical targets for each hemisphere. Using the thalami as seeds and the cortical labels as targets, FSL library tools were used to generate probabilistic tracts. A Hierarchical Dirichlet Process algorithm was then used for clustering analysis. A radiologist qualitatively assessed the results of clustering. Quantitative analyses were also performed. STATISTICAL TESTS: We summarized the demographic data and results of clustering with descriptive statistics. Linear regressions covarying for gestational age were used to compare groups.

resultsIn 17 of 20 TD neonates, we identified five connectivity-determined clusters, which correlate with known thalamic nuclei and subnuclei. In four neonates with CHD we observed a spectrum of abnormalities including fewer and disorganized clusters or small supernumerary clusters (up to seven per thalamus). After covarying for differences in corrected gestational age (cGA), the fractional anisotropy (FA), volume, and normalized thalamic volume were significantly lower in CHD neonates (P < 0.01). DATA

conclusionsUsing PTbTP clusters, correlating well with the location and connectivity of known thalamic nuclei, were identified in TD neonates. Differences in thalamic clustering outputs were identified in four neonates with CHD, raising concern for disordered thalamic connectivity. PTbTP is feasible in TD and CHD neonates. Preliminary findings suggest the prenatal origins of altered connectivity in CHD. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 4 J. Magn. Reson. Imaging 2018;47:1626-1637.

Indexed as

Magnetic Resonance ImagingAlgorithmsAnisotropyCross-Sectional StudiesDiffusion Tensor ImagingFemaleHeart Defects, CongenitalHumansImage Processing, Computer-AssistedInfant, NewbornMalePhenotypeProbabilityProspective StudiesQuality ControlSample Sizecongenital heart diseasediffusion-weighted imagingneonatesprobabilistic tractographythalamic parcellationthalamus

Identifiers

PMID29080379
PMCPMC5924655

What OpenQuestion holds

Textmetadata
LicenceTDM
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.