Evidence map›Paper›PMID 41835944›Full record

ArticleFrontiers in neuroscience2026

Evaluating the quality of brainstem ROI registration using structural and diffusion MRI.

Yi-An A Chen, Lars Kasper, Clement T Chow, Yu Kuo, Alexandre Boutet, Jürgen Germann, Andres M Lozano, Kâmil Uludağ, Andreea O Diaconescu, Sriranga Kashyap

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Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Yi-An A ChenDepartment of Psychology, University of Toronto, Toronto, ON, Canada.
Lars KasperDepartment of Psychology, University of Toronto, Toronto, ON, Canada.
Clement T ChowKrembil Brain Institute, University Health Network, Toronto, ON, Canada.
Yu KuoDivision of Radiology, Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital), Taipei, Taiwan.
Alexandre BoutetKrembil Brain Institute, University Health Network, Toronto, ON, Canada.
Jürgen GermannKrembil Brain Institute, University Health Network, Toronto, ON, Canada.
Andres M LozanoKrembil Brain Institute, University Health Network, Toronto, ON, Canada.
Kâmil UludağKrembil Brain Institute, University Health Network, Toronto, ON, Canada.
Andreea O Diaconescu *Department of Psychology, University of Toronto, Toronto, ON, Canada.
Sriranga Kashyap *Krembil Brain Institute, University Health Network, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate registration of regions of interest (ROIs) from standard atlases to participants' native spaces is a critical step in fMRI studies, as it directly affects the reliability of sampled BOLD signals. While T1-weighted (T1w) image-based ROI registration is well validated and widely adopted in cortical fMRI, its performance degrades in brainstem studies due to the small size, dense packing, and poor visibility of brainstem nuclei on T1w contrast. We hypothesized that incorporating diffusion MR images, containing more information about internal brainstem architecture, should improve ROI registration accuracy. To test this, we developed four registration pipelines that either included or excluded diffusion-based alignment components and evaluated their performance using data from

Indexed as

alignmentbrainstemdiffusion-weighted imaging (DWI)functional MRI reliabilityROI registration

Identifiers

PMID41835944
PMCPMC12982424

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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.