Evidence map›Paper›PMID 31102735›Full record

ArticleNeuroImage2019

Fingerprinting Orientation Distribution Functions in diffusion MRI detects smaller crossing angles.

Steven H Baete, Martijn A Cloos, Ying-Chia Lin, Dimitris G Placantonakis, Timothy Shepherd, Fernando E Boada

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.

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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

6 authors.

Steven H BaeteCenter for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, New York, NY, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, New York, NY, USA. Electronic address: steven.baete@nyulangone.org.
Martijn A CloosCenter for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, New York, NY, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, New York, NY, USA; The Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY, USA.
Ying-Chia LinCenter for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, New York, NY, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, New York, NY, USA.
Dimitris G PlacantonakisDept. of Neurosurgery, Perlmutter Cancer Center, Neuroscience Institute, Kimmel Center for Stem Cell Biology, NYU School of Medicine, New York, NY, USA.
Timothy ShepherdCenter for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, New York, NY, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, New York, NY, USA.
Fernando E BoadaCenter for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, New York, NY, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, New York, NY, USA.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
Quantification of Tumor Malignancy with MRIR01CA111996 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BOADA, FERNANDO E · 2006 to 2017
$2.8M
The role of GPR133 in glioblastomaR01NS102665 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PLACANTONAKIS, DIMITRIS G. · 2018 to 2022
$2.3M
Fingerprinting-Based Neuronal Fiber Identification in Brain SurgeryR01EB028774 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BAETE, STEVEN H. · 2020 to 2023
$1.9M
Q-Space Trajectories for Fast Diffusion Spectrum-based High-Definition Fiber TracR01NS082436 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BOADA, FERNANDO E · 2014 to 2017
$1.8M
NCI NIH HHS R01 CA111996NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB028774NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS082436NINDS NIH HHS R01 NS102665
6 · The paper itself

Abstract

Diffusion tractography is routinely used to study white matter architecture and brain connectivity in vivo. A key step for successful tractography of neuronal tracts is the correct identification of tract directions in each voxel. Here we propose a fingerprinting-based methodology to identify these fiber directions in Orientation Distribution Functions, dubbed ODF-Fingerprinting (ODF-FP). In ODF-FP, fiber configurations are selected based on the similarity between measured ODFs and elements in a pre-computed library. In noisy ODFs, the library matching algorithm penalizes the more complex fiber configurations. ODF simulations and analysis of bootstrapped partial and whole-brain in vivo datasets show that the ODF-FP approach improves the detection of fiber pairs with small crossing angles while maintaining fiber direction precision, which leads to better tractography results. Rather than focusing on the ODF maxima, the ODF-FP approach uses the whole ODF shape to infer fiber directions to improve the detection of fiber bundles with small crossing angle. The resulting fiber directions aid tractography algorithms in accurately displaying neuronal tracts and calculating brain connectivity.

Indexed as

Diffusion Magnetic Resonance ImagingAlgorithmsBrainBrain MappingComputer SimulationHumansImage Processing, Computer-AssistedNeural PathwaysReproducibility of ResultsSignal-To-Noise RatioWhite MatterCrossing angleDiffusion MRIFiber identificationFiber tractographyFingerprintingMulti-shell Q-ball imagingOrientation distribution functionRadial diffusion spectrum imaging

Identifiers

PMID31102735
PMCPMC7336899

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.