Evidence map›Paper›PMID 26638985›Full record

ArticleNeuroImage2016

Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI): A framework for single-subject analysis in diffusion tensor imaging.

Cheng Guan Koay, Ping-Hong Yeh, John M Ollinger, M Okan İrfanoğlu, Carlo Pierpaoli, Peter J Basser, Terrence R Oakes, Gerard Riedy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Cheng Guan KoayNational Intrepid Center of Excellence (NICoE), Bethesda, MD, USA; Section on Tissue Biophysics and Biomimetics, NICHD, National Institutes of Health, Bethesda, MD, USA; NorthTide Group, LLC, USA. Electronic address: guankoac@mail.nih.gov.
Ping-Hong YehNational Intrepid Center of Excellence (NICoE), Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
John M OllingerNational Intrepid Center of Excellence (NICoE), Bethesda, MD, USA.
M Okan İrfanoğluThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA; Section on Tissue Biophysics and Biomimetics, NICHD, National Institutes of Health, Bethesda, MD, USA.
Carlo PierpaoliSection on Tissue Biophysics and Biomimetics, NICHD, National Institutes of Health, Bethesda, MD, USA.
Peter J BasserSection on Tissue Biophysics and Biomimetics, NICHD, National Institutes of Health, Bethesda, MD, USA.
Terrence R OakesNational Intrepid Center of Excellence (NICoE), Bethesda, MD, USA.
Gerard RiedyNational Intrepid Center of Excellence (NICoE), Bethesda, MD, USA; National Capital Neuroimaging Consortium, Bethesda, MD, USA.

Funding

Intramural NIH HHS Z99 HD999999
6 · The paper itself

Abstract

The purpose of this work is to develop a framework for single-subject analysis of diffusion tensor imaging (DTI) data. This framework is termed Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI) because it is capable of testing whether an individual tract as represented by the major eigenvector of the diffusion tensor and its corresponding angular dispersion are significantly different from a group of tracts on a voxel-by-voxel basis. This work develops two complementary statistical tests based on the elliptical cone of uncertainty, which is a model of uncertainty or dispersion of the major eigenvector of the diffusion tensor. The orientation deviation test examines whether the major eigenvector from a single subject is within the average elliptical cone of uncertainty formed by a collection of elliptical cones of uncertainty. The shape deviation test is based on the two-tailed Wilcoxon-Mann-Whitney two-sample test between the normalized shape measures (area and circumference) of the elliptical cones of uncertainty of the single subject against a group of controls. The False Discovery Rate (FDR) and False Non-discovery Rate (FNR) were incorporated in the orientation deviation test. The shape deviation test uses FDR only. TOADDI was found to be numerically accurate and statistically effective. Clinical data from two Traumatic Brain Injury (TBI) patients and one non-TBI subject were tested against the data obtained from a group of 45 non-TBI controls to illustrate the application of the proposed framework in single-subject analysis. The frontal portion of the superior longitudinal fasciculus seemed to be implicated in both tests (orientation and shape) as significantly different from that of the control group. The TBI patients and the single non-TBI subject were well separated under the shape deviation test at the chosen FDR level of 0.0005. TOADDI is a simple but novel geometrically based statistical framework for analyzing DTI data. TOADDI may be found useful in single-subject, graph-theoretic and group analyses of DTI data or DTI-based tractography techniques.

Indexed as

Data Interpretation, StatisticalModels, StatisticalAdultBrain InjuriesDiffusion Tensor ImagingHumansWhite MatterDTIElliptical cone of uncertaintyExact Wilcoxon–Mann–Whitney p-value computationFDRFNR

Identifiers

PMID26638985
PMCPMC4733630

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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.