Evidence map›Paper›PMID 29181875›Full record

ArticleHuman brain mapping2018

Integration of routine QA data into mega-analysis may improve quality and sensitivity of multisite diffusion tensor imaging studies.

Peter Kochunov, Erin W Dickie, Joseph D Viviano, Jessica Turner, Peter B Kingsley, Neda Jahanshad, Paul M Thompson, Meghann C Ryan, Els Fieremans, Dmitry Novikov and 6 more

Abstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

16 authors.

Peter KochunovMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore.ORCID 0000-0003-3656-4281
Erin W DickieCentre for Addiction and Mental Health, Toronto, Canada.
Joseph D VivianoCentre for Addiction and Mental Health, Toronto, Canada.
Jessica TurnerDepartment of Psychology, Georgia State University, Atlanta, Georgia.
Peter B KingsleyDepartment of Radiology, North Shore University Hospital, Manhasset, New York.
Neda JahanshadImaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Paul M ThompsonImaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Meghann C RyanMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore.ORCID 0000-0003-3822-423X
Els FieremansDepartment of Radiology, New York University School of Medicine, New York, New York.
Dmitry NovikovDepartment of Radiology, New York University School of Medicine, New York, New York.
Jelle VeraartDepartment of Radiology, New York University School of Medicine, New York, New York.
Elliot L HongMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore.
Anil K MalhotraDepartment of Radiology, North Shore University Hospital, Manhasset, New York.
Robert W BuchananMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore.
Sofia ChavezCentre for Addiction and Mental Health, Toronto, Canada.
Aristotle N VoineskosCentre for Addiction and Mental Health, Toronto, Canada.

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MITTELMAN, MARY SHERMAN · 1990 to 2019
$36.1M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Mesoscopic Biomarkers of Neurodegeneration with Diffusion MRIR01NS088040 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2014 to 2023
$5.2M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Amish Connectome Project on Mental IllnessU01MH108148 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2015 to 2018
$4.3M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
2/3-Social Processes Initiative in Neurobiology of the Schizophrenia(s)R01MH102313 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI MALHOTRA, ANIL K · 2014 to 2018
$1.9M
3/3-Social Processes Initiative in Neurobiology of the Schizophrenia(s)R01MH102318 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI BUCHANAN, ROBERT W, CARPENTER, WILLIAM T. · 2014 to 2018
$1.7M
1/3 - Social Processes Initiative in Neurobiology of the Schizophrenia(s)R01MH102324 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI VOINESKOS, ARISTOTLE NICHOLAS · 2014 to 2018
$1.4M
The Role of Stress-Immune-Connectome Disruption in Mechanisms of Chinese Early Schizophrenia SpectrumR01MH112180 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2017 to 2021
$1.0M
NIA NIH HHS P30 AG008051NIA NIH HHS R01 AG040060NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB015611NIBIB NIH HHS U54 EB020403NIMH NIH HHS R01 MH102313NIMH NIH HHS R01 MH102318NIMH NIH HHS R01 MH102324NIMH NIH HHS R01 MH112180NIMH NIH HHS U01 MH108148NINDS NIH HHS R01 NS088040
6 · The paper itself

Abstract

A novel mega-analytical approach that reduced methodological variance was evaluated using a multisite diffusion tensor imaging (DTI) fractional anisotropy (FA) data by comparing white matter integrity in people with schizophrenia to controls. Methodological variance was reduced through regression of variance captured from quality assurance (QA) and by using Marchenko-Pastur Principal Component Analysis (MP-PCA) denoising. N = 192 (119 patients/73 controls) data sets were collected at three sites equipped with 3T MRI systems: GE MR750, GE HDx, and Siemens Trio. DTI protocol included five b = 0 and 60 diffusion-sensitized gradient directions (b = 1,000 s/mm

Indexed as

Diffusion Tensor ImagingMeta-Analysis as TopicQuality Assurance, Health CareAdolescentAdultBrainHumansInformation DisseminationMagnetic Resonance ImagingMiddle AgedMulticenter Studies as TopicRegression AnalysisSchizophreniaYoung AdultDTImega-analysismulti-site researchQAschizophrenia

Identifiers

PMID29181875
PMCPMC5764798

What OpenQuestion holds

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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.