Evidence map›Paper›PMID 27477775›Full record

SynthesisHuman brain mapping2016

Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia.

Peter Kochunov, Habib Ganjgahi, Anderson Winkler, Sinead Kelly, Dinesh K Shukla, Xiaoming Du, Neda Jahanshad, Laura Rowland, Hemalatha Sampath, Binish Patel and 9 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 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

43 citing papers in PubMed, 2 syntheses or guidelines 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

19 authors.

Peter KochunovMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Habib GanjgahiDepartment of Statistics, University of Warwick, Warwick, United Kingdom.
Anderson WinklerFMRIB Centre, Oxford University, Oxford, United Kingdom.ORCID 0000-0002-4169-9781
Sinead KellyImaging Genetics Center, Keck School of Medicine of USC, Marina del Rey, California.
Dinesh K ShuklaMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Xiaoming DuMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Neda JahanshadImaging Genetics Center, Keck School of Medicine of USC, Marina del Rey, California.
Laura RowlandMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Hemalatha SampathMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Binish PatelMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Patricio O'DonnellNeuroscience Research Unit, Worldwide Research and Development, Pfizer Inc, 610 Main Street, Cambridge, Massachusetts, 02139.
Zhiyong XieNeuroscience Research Unit, Worldwide Research and Development, Pfizer Inc, 610 Main Street, Cambridge, Massachusetts, 02139.
Sara A PacigaEnterprise Scientific Technology Operations, Worldwide Research and Development, Pfizer Inc, Eastern Point Rd, Groton, Connecticut, 06340.
Christian R SchubertEnterprise Scientific Technology Operations, Worldwide Research and Development, Pfizer Inc, Eastern Point Rd, Groton, Connecticut, 06340.
Jian ChenDepartment of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Maryland, 21250.
Guohao ZhangDepartment of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Maryland, 21250.
Paul M ThompsonImaging Genetics Center, Keck School of Medicine of USC, Marina del Rey, California.
Thomas E NicholsDepartment of Statistics, University of Warwick, Warwick, United Kingdom.
L Elliot HongMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.

Funding

The Effects of Kynurenine Aminotransferase Inhibition in People with SchizophreniaP50MH103222 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI BUCHANAN, ROBERT W · 2014 to 2023
$25.2M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2022
$14.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Multidisciplinary Schizophrenia Research TrainingT32MH067533 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CARPENTER, WILLIAM T., ELMER, GREGORY I · 2004 to 2025
$4.3M
Amish Connectome Project on Mental IllnessU01MH108148 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2015 to 2018
$4.3M
Shared Neural Circuitry in Comorbid Schizophrenia and Nicotine AddictionR01DA027680 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2014
$2.4M
Neural Oscillatory Biomarkers for Genetics and Animal Models of SchizophreniaR01MH085646 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2013
$2.2M
NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB015611NIBIB NIH HHS U54 EB020403NIDA NIH HHS R01 DA027680NIMH NIH HHS P50 MH103222NIMH NIH HHS R01 MH085646NIMH NIH HHS T32 MH067533NIMH NIH HHS U01 MH108148
6 · The paper itself

Abstract

backgroundAltered brain connectivity is implicated in the development and clinical burden of schizophrenia. Relative to matched controls, schizophrenia patients show (1) a global and regional reduction in the integrity of the brain's white matter (WM), assessed using diffusion tensor imaging (DTI) fractional anisotropy (FA), and (2) accelerated age-related decline in FA values. In the largest mega-analysis to date, we tested if differences in the trajectories of WM tract development influenced patient-control differences in FA. We also assessed if specific tracts showed exacerbated decline with aging.

methodsThree cohorts of schizophrenia patients (total n = 177) and controls (total n = 249; age = 18-61 years) were ascertained with three 3T Siemens MRI scanners. Whole-brain and regional FA values were extracted using ENIGMA-DTI protocols. Statistics were evaluated using mega- and meta-analyses to detect effects of diagnosis and age-by-diagnosis interactions.

resultsIn mega-analysis of whole-brain averaged FA, schizophrenia patients had lower FA (P = 10

conclusionWM tracts that mature later in life appeared more sensitive to the pathophysiology of schizophrenia and were more susceptible to faster age-related decline in FA values. Hum Brain Mapp 37:4673-4688, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

AdolescentAdultAgingBrainCohort StudiesDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSchizophreniaWhite MatterYoung AdultagingDTIschizophrenia

Identifiers

PMID27477775
PMCPMC5118078

What Socratic 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 Socratic graph.