Evidence map›Paper›PMID 42368230›Full record

ArticleCureus2026

Automated Tractography Settings for Assessing the Corticoreticular Pathway in Patients With Stroke: A Clinical Application.

Tetsuo Koyama, Midori Mochizuki, Yuki Uchiyama, Kazuhisa Domen

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Tetsuo KoyamaDepartment of Rehabilitation Medicine, Nishinomiya Kyoritsu Neurosurgical Hospital, Nishinomiya, JPN.
Midori MochizukiDepartment of Rehabilitation Medicine, Nishinomiya Kyoritsu Neurosurgical Hospital, Nishinomiya, JPN.
Yuki UchiyamaDepartment of Rehabilitation Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, JPN.
Kazuhisa DomenDepartment of Rehabilitation Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe corticoreticular pathway (CRP) is gaining attention for its potential role in post-stroke motor recovery. However, unlike the corticospinal tract (CST), the CRP is not included in commonly used automated tractography frameworks, limiting its reproducibility and clinical applicability. We aimed to incorporate CRP assessment into an automated tractography pipeline and to evaluate its feasibility in patients with mild stroke.

methodsWe retrospectively analyzed patients with a first-ever unilateral supratentorial ischemic stroke who had regained full independence in activities of daily living. Diffusion tensor imaging was acquired during the second week after admission using a 3.0-T MRI scanner. Tractography was performed using a fully automated procedure that reconstructed both the CST and the CRP. For CRP reconstruction, the seed region was placed in the gigantocellular reticular nucleus and the target region in the premotor cortex, based on established neuroanatomical atlases. Tract volume, fractional anisotropy (FA), and CST-CRP overlap were quantified. Lesioned and non-lesioned hemispheres were compared using the Wilcoxon signed-rank test.

resultsFifteen patients met these criteria during the study period. Automated tractography consistently reconstructed both pathways in all participants. CRP volume tended to exceed CST volume, although with substantial interindividual variability. FA values were relatively preserved in the lesioned hemisphere but were significantly lower than in the non-lesioned hemisphere for both the CST (S = 48,P = 0.004) and the CRP (S= 54, P = 0.001).

conclusionsUsing anatomically defined regions of interest enabled reliable automated CRP reconstruction. This approach offers a practical and reproducible method for evaluating motor-related white matter pathways and may facilitate future research into stroke rehabilitation.

Indexed as

automated tractographycorticoreticular pathwayjapanese rehabilitationneuroimagingoutcomeprognosisrecoverystroketracttractography

Identifiers

PMID42368230
PMCPMC13310079

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