ArticleBrain communications2021
The extreme capsule and aphasia: proof-of-concept of a new way relating structure to neurological symptoms.
Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Tractography-based correlation of diffusion anisotropy metrics in chronic post-stroke aphasia.BMC medical imaging · 2026Article
- Diffusion Tensor Imaging and Advanced Diffusion Imaging in Post-Stroke Aphasia Recovery.Tomography (Ann Arbor, Mich.) · 2026Review
- Dynamic Causal Tractography Analysis of Auditory Descriptive Naming: An Intracranial Study of 106 Patients.NeuroImage · 2025Article
- Article
- A narrative review of the anatomy and function of the white matter tracts in language production and comprehension.Frontiers in human neuroscience · 2023Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present anatomy-based symptom-lesion mapping to assess the association between lesions of tracts in the extreme capsule and aphasia. The study cohort consisted of 123 patients with acute left-hemispheric stroke without a lesion of language-related cortical areas of the Stanford atlas of functional regions of interest. On templates generated through global fibre tractography, lesions of the extreme capsule and of the arcuate fascicle were quantified and correlated with the occurrence of aphasia (
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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.