Evidence map›Paper›PMID 28647426›Full record

ArticleJournal of neuroscience methods2017

Age-related changes in structural connectivity are improved using subject-specific thresholding.

Corinna M Bauer, Lauren E Zajac, Bang-Bon Koo, Ronald J Killiany, Lotfi B Merabet

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Corinna M BauerLaboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA. Electronic address: Corinna_Bauer@meei.harvard.edu.
Lauren E ZajacCenter for Biomedical Imaging, Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA. Electronic address: zajac@bu.edu.
Bang-Bon KooCenter for Biomedical Imaging, Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA. Electronic address: bbkoo@bu.edu.
Ronald J KillianyCenter for Biomedical Imaging, Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA. Electronic address: killiany@bu.edu.
Lotfi B MerabetLaboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA. Electronic address: Lotfi_Merabet@meei.harvard.edu.

Funding

Audio-Haptic Virtual Environments for Large-Scale Navigation in the BlindR01EY019924 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI MERABET, LOTFI · 2010 to 2018
$3.5M
NEI NIH HHS R01 EY019924
6 · The paper itself

Abstract

backgroundDeterministic diffusion tractography obtained from high angular resolution diffusion imaging (HARDI) requires user-defined quantitative anisotropy (QA) thresholds. Most studies employ a common threshold across all subjects even though there is a strong degree of individual variation within groups. We sought to explore whether it would be beneficial to use individual thresholds in order to accommodate individual variance. To do this, we conducted two independent experiments.

methodFirst, tractography of the arcuate fasciculus and network connectivity measures were examined in a sample of 14 healthy participants. Second, we assessed the effects of QA threshold on group differences in network connectivity measures between healthy young (n=19) and old (n=14) individuals.

resultsThe results of both experiments were significantly influenced by QA threshold. Common thresholds set too high failed to produce sufficient reconstructions in most subjects, thus decreasing the likelihood of detecting meaningful group differences. On the other hand, common thresholds set too low resulted in spurious reconstructions, providing deleterious results. COMPARISON WITH EXISTING

methodsSubject specific thresholds acquired using our QA threshold selection method (QATS) appeared to provide the most meaningful networks while ensuring that data from all subjects contributed to the analyses.

conclusionsTogether, these results support the use of a subject-specific threshold to ensure that data from all subjects are included in the analyses being conducted.

Indexed as

Diffusion Tensor ImagingImage Processing, Computer-AssistedAdultAgedAged, 80 and overAgingAnalysis of VarianceAnisotropyBrainBrain MappingFemaleHumansMaleNeural PathwaysYoung AdultArcuate fasciculusHigh angular resolution diffusion imaging (HARDI)Network analysisNormal agingQuantitative anisotropy thresholdTractography

Identifiers

PMID28647426
PMCPMC5604482

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.