Browsing by Author "Urrutia Goldsack, Francisca Pilar"

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    Association between the brain injury location and its volume with the severity profile of language impairment measured with the ScreeLing in Chilean adults after stroke: a pilot study
    (2024) Urrutia Goldsack, Francisca Pilar; Mendez Orellana, Carolina; Pontificia Universidad Católica de Chile. Escuela de Medicina
    Introduction: Post-stroke aphasia is a high-prevalence disorder that impacts an individual's quality of life, environment, and health care systems. Thanks to novel neuroimaging techniques, new cortical language processing models have emerged; however, characterizing the neuronal organization associated with a linguistic task and domain has proven to be surprisingly challenging. This study aims to explore associations between the brain injury location and extension with the severity profile of language impairment measured with the Chilean version of the ScreeLing in post-stroke adults.Methods: This is an analytical, observational, cross-sectional study. We recruited 144 post-stroke adults within the first week after stroke. Neuroimaging and language performance data were collected. Our dependent variable was the ScreeLing score, while the brain injury location and volume were the independent variables. Linear regression models were performed in RStudio using a significance level of p < 0.05.Results: Among the patients, ScreeLing diagnosed 56 with aphasia and 60 without linguistic disorders, while 28 could not be included in the analysis. In the aphasic group, linear regressions revealed an association between the left temporal lesion and phonological performance; subcortical lesions correlated with lower phonological and syntactic scores. Poorer performance in the overall ScreeLing was associated with injuries in the left temporal lobe and subcortical regions. No association was found between the ScreeLing performance and the extension of the lesion.Conclusions: This study corroborated associations described in modern language processing models. Our future efforts will focus on precise location of the lesion and expand the sample size evaluated with MRI.