ArticleHuman brain mapping2016
Profilometry: A new statistical framework for the characterization of white matter pathways, with application to multiple sclerosis.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 48 citations in OpenAlex.
- Selective vulnerability and resilience to Alzheimer's disease tauopathy as a function of genes and the connectome.Brain : a journal of neurology · 2025Article
- An Investigation of Corticospinal Tract Microstructural Integrity in ARSACS Using a Profilometry MRI Analysis: Results From the PROSPAX Study.European journal of neurology · 2025Article
- Along-tract white matter abnormalities and their clinical associations in recent-onset and chronic schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- FODSeg: a deep learning framework for tract-specific white matter segmentation from full angular distributions.Frontiers in neuroscience · 2025Article
- Gradient of microstructural damage along the dentato-thalamo-cortical tract in Friedreich ataxia.Annals of clinical and translational neurology · 2024Article
- Investigating female versus male differences in white matter neuroplasticity associated with complex visuo-motor learning.Scientific reports · 2024Article
- Qualitative and Visual Along-Tract Analysis of Diffusion-Based Parameters in Patients with Diffuse Gliomas.Brain sciences · 2024Article
- Radiomic tractometry reveals tract-specific imaging biomarkers in white matter.Nature communications · 2024Article
- Tractometry of the Human Connectome Project: resources and insights.Frontiers in neuroscience · 2024Article
- Multi-tensor fixel-based metrics in tractometry: application to multiple sclerosis.Frontiers in neuroscience · 2024Article
- Sex differences in patterns of white matter neuroplasticity after balance training in young adults.Frontiers in human neuroscience · 2024Article
- Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Spatiotemporal changes in along-tract profilometry of cerebellar peduncles in cerebellar mutism syndrome.NeuroImage. Clinical · 2022Article
- Multidimensional analysis and detection of informative features in human brain white matter.PLoS computational biology · 2021Article
- Evaluating the Reliability of Human Brain White Matter Tractometry.Aperture neuro · 2021Article
- Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations.Scientific reports · 2020Article
- Tractostorm: The what, why, and how of tractography dissection reproducibility.Human brain mapping · 2020Review
- Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain.NeuroImage · 2019Article
- MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.Therapeutic advances in neurological disorders · 2017Review
- MRI Analysis of White Matter Myelin Water Content in Multiple Sclerosis: A Novel Approach Applied to Finding Correlates of Cortical Thinning.Frontiers in neuroscience · 2017Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
aimsdescribe a new "profilometry" framework for the multimetric analysis of white matter tracts, and demonstrate its application to multiple sclerosis (MS) with radial diffusivity (RD) and myelin water fraction (MWF).
methodsA cohort of 15 normal controls (NC) and 141 MS patients were imaged with T1, T2 FLAIR, T2 relaxometry and diffusion MRI (dMRI) sequences. T1 and T2 FLAIR allowed for the identification of patients having lesion(s) on the tracts studied, with a special focus on the forceps minor. T2 relaxometry provided MWF maps, while dMRI data yielded RD maps and the tractography required to compute MWF and RD tract profiles. The statistical framework combined a multivariate analysis of covariance (MANCOVA) and a linear discriminant analysis (LDA) both accounting for age and gender, with multiple comparison corrections.
resultsIn the single-case case study the profilometry visualization showed a clear departure of MWF and RD from the NC normative data at the lesion location(s). Group comparison from MANCOVA demonstrated significant differences at lesion locations, and a significant age effect in several tracts. The follow-up LDA analysis suggested MWF better discriminates groups than RD. DISCUSSION AND
conclusionWhile progress has been made in both tract-profiling and metrics for white matter characterization, no single framework for a joint analysis of multimodality tract profiles accounting for age and gender is known to exist. The profilometry analysis and visualization appears to be a promising method to compare groups using a single score from MANCOVA while assessing the contribution of each metric with LDA.
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Registered trials
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.