ArticleBrain communications2025
Infratentorial white matter integrity as a potential biomarker for post-stroke aphasia.
Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- White matter predictors of cerebellar tDCS treatment effects in aphasia rehabilitation.Frontiers in neurologyTrial
- Cerebellar Tracts Microstructural Characteristics and Severity of Language Impairment in Post-stroke Patients with Aphasia: A DTI Study.Cerebellum (London, England) · 2026Article
- Grey matter volume and fractional anisotropy as biomarkers of cognitive change in traumatic brain injury over a 6-month period.Frontiers in neurology · 2025Article
- Relationship between intrahemispheric and interhemispheric connectivity of the language network and language improvement in subacute post-stroke aphasia.Frontiers in neurology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditionally, neuroimaging studies of post-stroke aphasia focus on supratentorial brain regions related to language function and recovery. However, stroke-induced lesions often distort these areas, posing a challenge for neuroimaging analyses aimed at identifying reliable biomarkers. This study seeks to explore alternative biomarkers in regions less affected by direct stroke damage, such as white matter regions below the tentorium, to overcome these methodological limitations. Diffusion tensor imaging was accomplished on 55 participants with chronic post-stroke aphasia. Focusing on regions below the tentorium, correlations were analysed between Western Aphasia Battery-Revised scores and average fractional anisotropy values. The volume of intersection between each participant's lesion and their left arcuate fasciculus was also analysed for correlations with Western Aphasia Battery-Revised scores as well. Linear regression analyses were then conducted using regions showing significant correlations as univariate predictors. After applying multiple comparisons corrections, we found that average fractional anisotropy in the middle cerebellar peduncle was positively correlated with aphasia quotient (
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