Evidence map›Paper›PMID 29361347›Full record

ArticlePsychiatry research. Neuroimaging2018

Preliminary mapping of the structural effects of age in pediatric bipolar disorder with multimodal MR imaging.

Ryan P Cabeen, David H Laidlaw, Amanda Ruggieri, Daniel P Dickstein

Abstract read
In one paragraph

Article in Psychiatry research. Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 3 institutions in 1 country.

Ryan P CabeenLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA. Electronic address: rcabeen@ini.usc.edu.
David H LaidlawDepartment of Computer Science, Brown University, Providence, RI, USA.
Amanda RuggieriPediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA.
Daniel P DicksteinPediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA.
Brown University · USBradley Hospital · USUniversity of Southern California · US

Funding

Brain Science Computer ClusterS10OD016366 · OD · BROWN UNIVERSITY · PI DONOGHUE, JOHN P · 2013 to 2013
$600k
Reversal Learning in Pediatric Bipolar DisorderK22MH074945 · NIMH · EMMA PENDLETON BRADLEY HOSPITAL · PI DICKSTEIN, DANIEL P · 2007 to 2009
$506k
NIH HHS S10 OD016366NIMH NIH HHS K22 MH074945
6 · The paper itself

Abstract

This study investigates multimodal structural MR imaging biomarkers of development trajectories in pediatric bipolar disorder. T1-weighted and diffusion-weighted MR imaging was conducted to investigate cross-sectional group differences with age between typically developing controls (N = 26) and youths diagnosed with bipolar disorder (N = 26). Region-based analysis was used to examine cortical thickness of gray matter and diffusion tensor parameters in superficial white matter, and tractography-based analysis was used to examine deep white matter fiber bundles. Patients and controls showed significantly different maturation trajectories across brain areas; however, the magnitude of differences varied by region. The rate of cortical thinning with age was greater in patients than controls in the left frontal pole. While controls showed increasing fractional anisotropy (FA) and axial diffusivity (AD) with age, patients showed an opposite trend of decreasing FA and AD with age in fronto-temporal-striatal regions located in both superficial and deep white matter. The findings support fronto-temporal-striatal alterations in the developmental trajectories of youths diagnosed with bipolar disorder, and further, show the value of multimodal computational techniques in the assessment of neuropsychiatric disorders. These preliminary results warrant further investigation into longitudinal changes and the effects of treatment in the brain areas identified in this study.

Indexed as

Age FactorsAdolescentAgingAnisotropyBipolar DisorderBrainBrain MappingChildCross-Sectional StudiesDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleFrontal LobeGray MatterHumansMaleAdolescentsCortical thicknessDiffusion tensor imagingMagnetic resonance imagingPediatric bipolarTractography

Identifiers

PMID29361347
PMCPMC5815932
OpenAlexW2782656674

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.