Evidence map›Paper›PMID 40816536›Full record

ArticleJournal of neuroscience methods2025

Probabilistic normative maps of the corticospinal and cortico-reticulospinal tracts in streamline and volumetric formats.

Pierce Boyne, Brady Williamson, Josephine Buclez, Steven C Cramer, David J Lin

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2025. 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.

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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

5 authors.

Pierce BoyneDepartment of Rehabilitation, Exercise and Nutrition Sciences, University of Cincinnati, Cincinnati, OH, United States. Electronic address: Pierce.Boyne@uc.edu.
Brady WilliamsonDepartment of Radiology, University of Cincinnati, Cincinnati, OH, United States.
Josephine BuclezDepartment of Neurology, Division of Neurocritical Care and Stroke Service, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Steven C CramerDepartment of Neurology, University of California, Los Angeles, CA, United States; California Rehabilitation Institute, Los Angeles, CA, United States.
David J LinDepartment of Neurology, Division of Neurocritical Care and Stroke Service, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Veterans Affairs, Rehabilitation Research and Development Service, Center for Neurorestoration and Neurotechnology, Providence, RI, USA.

Funding

High-Intensity Interval Training to Recover Walking Post-Stroke: HIT-Stroke Trial 2R01HD093694 · NICHD · UNIVERSITY OF CINCINNATI · PI Pierce Boyne · 2018 to 2026
$6.1M
NICHD NIH HHS R01 HD093694RRD VA IK2 RX004237
6 · The paper itself

Abstract

backgroundNormative maps of brain tracts are key tools for assessing the extent of tract injury and plasticity after brain lesions such as stroke. The conventional procedure for tract mapping reduces diffusion tractography streamlines to a volumetric image before warping them to a standard coordinate space. Unfortunately, this volumetric reduction discards information about tract connectivity across voxels, complicating estimation of tract injury from the resulting map. This issue could be addressed by using a streamline-based tract map, but prior efforts to do so using group-based tractography have not accounted for individual variability, and thus are at risk of underestimating tract extent. NEW

methodDirect streamline normalization (DSN) directly warps individual tractography streamlines to a standard coordinate space, which can be pooled across individuals to account for individual variability. Here, DSN was used to create normative tract maps for the first time.

resultsNovel probabilistic maps of the corticospinal tract (CST) and cortico-reticulospinal tract (CRST) were generated in streamline format using DSN. COMPARISON WITH EXISTING

methodsCompared with group-based tractography, tract maps generated with DSN had 3.1-5.2 times greater volume, 1.0-1.5 times greater mean diameter and 7.8-15.3 times greater cortical origin area.

conclusionsDSN produces tract maps with more accurate representation of axonal geometry than the conventional procedure and greater incorporation of individual variability than group-based tractography, likely resulting in larger maps. Future studies can use the CST and CRST maps generated here to optimize tract injury and plasticity measurements, which may provide an improved understanding of motor impairment and recovery.

Indexed as

Brain MappingDiffusion Tensor ImagingImage Processing, Computer-AssistedPyramidal TractsAdultFemaleHumansMaleMiddle AgedYoung AdultBrain mappingExtrapyramidal tractsMagnetic Resonance, ImagingPyramidal tractsStroke

Identifiers

PMID40816536
PMCPMC13154593

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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.