ArticleHuman brain mapping2021
Improved normalization of lesioned brains via cohort-specific templates.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Robustness of NeuroMark-Derived Functional Networks to fMRI Spatial Normalization Across the Human Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Integrating standard and native spaces for radiomics and brain network analysis in Alzheimer's disease diagnosis and prognosis.Journal of neurology · 2026Article
- Precision of automatically generated generic regions of interest for direct assessment of perfusion-MRI.Frontiers in physiology · 2026Article
- Automatic coarse-to-fine AC-PC localization on CT using registration-guided 3D-UNets.Frontiers in neuroinformatics · 2026Article
- How Can Graph Theory Inform the Dual-stream Model of Speech Processing? A Resting-state Functional Magnetic Resonance Imaging Study of Stroke and Aphasia Symptomology.Journal of cognitive neuroscience · 2025Article
- Effects and mechanisms of synchronous virtual reality action observation and electrical stimulation on upper extremity motor function and activities of daily living in patients with stroke: a protocol for a randomized controlled trial.Frontiers in neurology · 2025Article
- Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach.Neurorehabilitation and neural repair · 2024Article
- Spatial mapping of tumor heterogeneity in whole-body PET-CT: a feasibility study.Biomedical engineering online · 2023Article
- A Correspondence-Based Network Approach for Groupwise Analysis of Patient-Specific Spatiotemporal Data.Annals of biomedical engineering · 2023Article
- The elusive metric of lesion load.Brain structure & function · 2023Review
- Interpreting and validating complexity and causality in lesion-symptom prognoses.Brain communications · 2023Review
- Multimodal and multidomain lesion network mapping enhances prediction of sensorimotor behavior in stroke patients.Scientific reports · 2022Article
- Improved normalization of lesioned brains via cohort-specific templates.Human brain mapping · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
In MRI studies, spatial normalization is required to infer results at the group level. In the presence of a brain lesion, such as in stroke patients, the normalization process can be affected by tissue loss, spatial deformations, signal intensity changes, and other stroke sequelae that introduce confounds into the group analysis results. Previously, most neuroimaging studies with lesioned brains have used normalization methods optimized for intact brains, raising potential concerns about the accuracy of the resulting transformations and, in turn, their reported group level results. In this study, we demonstrate the benefits of creating an intermediate, cohort-specific template in conjunction with diffeomorphism-based methods to normalize structural MRI images in stroke patients. We show that including this cohort-specific template improves accuracy compared to standard methods for normalizing lesioned brains. Critically, this method reduces overall differences in normalization accuracy between stroke patients and healthy controls, and may improve the localization and connectivity of BOLD signal in functional neuroimaging data.
Indexed as
Identifiers
What OpenQuestion holds
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.