Evidence map›Paper›PMID 27834215›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Diffusion-weighted imaging uncovers likely sources of processing-speed deficits in schizophrenia.

Peter Kochunov, Laura M Rowland, Els Fieremans, Jelle Veraart, Neda Jahanshad, George Eskandar, Xiaoming Du, Florian Muellerklein, Anya Savransky, Dinesh Shukla and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Review
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  10. Review
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  12. Article
  13. Longitudinal Allometry of Sulcal Morphology in Health and Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  14. Article
  15. Article
  16. Neuroimaging Biomarkers in Schizophrenia.The American journal of psychiatry · 2021
    Review
  17. Article
  18. Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders.Translational vision science & technology · 2021
    Article
  19. Article
  20. 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

13 authors at 3 institutions in 1 country.

Peter KochunovMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228; pkochunov@mprc.umaryland.edu.
Laura M RowlandMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
Els FieremansCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY 10016.
Jelle VeraartCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY 10016.
Neda JahanshadImaging Genetics Center, Mark and Mary Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Marina del Rey, CA 90292.
George EskandarMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
Xiaoming DuMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
Florian MuellerkleinMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
Anya SavranskyMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
Dinesh ShuklaMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
Hemalatha SampathMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
Paul M ThompsonImaging Genetics Center, Mark and Mary Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Marina del Rey, CA 90292.
L Elliot HongMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228.
University of Maryland, Baltimore · USNew York University · USUniversity of Southern California · US

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 1990 to 2019
$36.1M
The Effects of Kynurenine Aminotransferase Inhibition in People with SchizophreniaP50MH103222 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI SCHWARCZ, ROBERT · 2014 to 2023
$25.2M
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
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
NIA NIH HHS P30 AG008051NIBIB 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 MH108148NINDS NIH HHS R01 NS088040
6 · The paper itself

Abstract

Schizophrenia, a devastating psychiatric illness with onset in the late teens to early 20s, is thought to involve disrupted brain connectivity. Functional and structural disconnections of cortical networks may underlie various cognitive deficits, including a substantial reduction in the speed of information processing in schizophrenia patients compared with controls. Myelinated white matter supports the speed of electrical signal transmission in the brain. To examine possible neuroanatomical sources of cognitive deficits, we used a comprehensive diffusion-weighted imaging (DWI) protocol and characterized the white matter diffusion signals using diffusion kurtosis imaging (DKI) and permeability-diffusivity imaging (PDI) in patients (n = 74), their nonill siblings (n = 41), and healthy controls (n = 113). Diffusion parameters that showed significant patient-control differences also explained the patient-control differences in processing speed. This association was also found for the nonill siblings of the patients. The association was specific to processing-speed abnormality but not specific to working memory abnormality or psychiatric symptoms. Our findings show that advanced diffusion MRI in white matter may capture microstructural connectivity patterns and mechanisms that govern the association between a core neurocognitive measure-processing speed-and neurobiological deficits in schizophrenia that are detectable with in vivo brain scans. These non-Gaussian diffusion white matter metrics are promising surrogate imaging markers for modeling cognitive deficits and perhaps, guiding treatment development in schizophrenia.

Indexed as

Diffusion Tensor ImagingAdolescentAdultAnisotropyFemaleHumansMaleMental ProcessesMiddle AgedRegression AnalysisSchizophreniaWhite MatterYoung Adultcognitive deficitsdiffusion-weighted imagingendophenotypesprocessing speedschizophrenia

Identifiers

PMID27834215
PMCPMC5127361
OpenAlexW2550442903

What OpenQuestion holds

Textmetadata
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.