Evidence map›Paper›PMID 31356879›Full record

ArticleNeuroImage2019

Replication and generalization in applied neuroimaging.

Garikoitz Lerma-Usabiaga, Pratik Mukherjee, Zhimei Ren, Michael L Perry, Brian A Wandell

Abstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Structural Covariance and Heritability of the Optic Tract and Primary Visual Cortex in Living Human Brains.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  7. Article
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  9. Article
  10. Observational
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  12. Article
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  15. 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

5 authors.

Garikoitz Lerma-UsabiagaDepartment of Psychology, Stanford University, 450 Serra Mall, Jordan Hall Building, 94305, Stanford, CA, USA; BCBL. Basque Center on Cognition, Brain and Language, Mikeletegi Pasealekua 69, Donostia - San Sebastián, 20009, Gipuzkoa, Spain. Electronic address: garikoitz@gmail.com.
Pratik MukherjeeRadiology and Biomedical Imaging, University of California, San Francisco, CA, USA; Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.
Zhimei RenDepartment of Statistics, Stanford University, 390 Serra Mall, Sequoia Hall Building, 94305, Stanford, CA, USA.
Michael L PerryDepartment of Psychology, Stanford University, 450 Serra Mall, Jordan Hall Building, 94305, Stanford, CA, USA.
Brian A WandellDepartment of Psychology, Stanford University, 450 Serra Mall, Jordan Hall Building, 94305, Stanford, CA, USA.

Funding

Macrostructural and Microstructural Imaging Biomarkers of Traumatic Brain InjuryR01NS060776 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MUKHERJEE, PRATIK · 2009 to 2012
$1.8M
NINDS NIH HHS R01 NS060776
6 · The paper itself

Abstract

There is much interest in translating neuroimaging findings into meaningful clinical diagnostics. The goal of scientific discoveries differs from clinical diagnostics. Scientific discoveries must replicate under a specific set of conditions; to translate to the clinic we must show that findings using purpose-built scientific instruments will be observable in clinical populations and instruments. Here we describe and evaluate data and computational methods designed to translate a scientific observation to a clinical setting. Using diffusion weighted imaging (DWI), Wahl et al. (2010) observed that across subjects the mean fractional anisotropy (FA) of homologous pairs of tracts is highly correlated. We hypothesize that this is a fundamental biological trait that should be present in most healthy participants, and deviations from this assessment may be a useful diagnostic metric. Using this metric as an illustration of our methods, we analyzed six pairs of homologous white matter tracts in nine different DWI datasets with 44 subjects each. Considering the original FA measurement as a baseline, we show that the new metric is between 2 and 4 times more precise when used in a clinical context. Our framework to translate research findings into clinical practice can be applied, in principle, to other neuroimaging results.

Indexed as

AdultBiomarkersDatasets as TopicDiffusion Tensor ImagingFemaleHumansMaleNeuroimagingReproducibility of ResultsWhite MatterYoung AdultBiomarkersBiomarkerComputational reproducibilityDWIGeneralizabilityGeneralizationReplicationStructural MRIWhite matter tracts

Identifiers

PMID31356879
PMCPMC6819246

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.