2019
DOI: 10.1101/576025
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Differential Tractography as a Track-Based Biomarker for Neuronal Injury

Abstract: One Sentence Summary:Differential tractography utilizes repeat diffusion MRI scans of the same subject to identify tracks with neurodegeneration. AbstractDiffusion MRI tractography has been used to map the axonal structure of human brain, but its ability to detect neurodegeneration is yet to be explored. Here we report differential tractography, a new type of tractography that utilizes a novel tracking strategy to map the exact segment of fiber pathways with neurodegeneration. It utilizes voxel-wise difference… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 36 publications
0
2
0
Order By: Relevance
“…The quality of T1-weighted images was assessed with an image quality rating and the total intracranial volume produced with the Computational Anatomy Toolbox (CAT12) 99 . The quality of HARDI data was assessed with a neighboring correlation index 79 which quantified the similarity between low-b volumes with similar gradient directions, as well as with the mean framewise displacement 78 as a measure of head motion. Seizure focus was classified as: left temporal (LT) and right temporal (RT).…”
Section: Simulated Activation Of Intrinsic Connectivity Networkmentioning
confidence: 99%
“…The quality of T1-weighted images was assessed with an image quality rating and the total intracranial volume produced with the Computational Anatomy Toolbox (CAT12) 99 . The quality of HARDI data was assessed with a neighboring correlation index 79 which quantified the similarity between low-b volumes with similar gradient directions, as well as with the mean framewise displacement 78 as a measure of head motion. Seizure focus was classified as: left temporal (LT) and right temporal (RT).…”
Section: Simulated Activation Of Intrinsic Connectivity Networkmentioning
confidence: 99%
“…For the remaining participants, due to the sheer volume of images included in the cohort, visual inspection of each DWI image was not possible. We instead adopted an automated QC procedure described in [Yeh et al, 2019], which has been integrated into the outputs of QSIPrep. This involves rejecting a scan if it had different or incomplete scanning acquisitions (no participants excluded) or if over 0.1% of slices (9 slices at 72 slices/volume × 128 diffusion volumes) had significant signal dropout based on changes in slice-wise correlation (3 participants excluded).…”
Section: Data Inclusion and Quality Controlmentioning
confidence: 99%