[HTML][HTML] Predictors of therapy response in chronic aphasia: Building a foundation for personalized aphasia therapy

S Kristinsson, DB den Ouden, C Rorden… - Journal of …, 2022 - synapse.koreamed.org
Chronic aphasia, a devastating impairment of language, affects up to a third of stroke
survivors. Speech and language therapy has consistently been shown to improve language …

Understanding, facilitating and predicting aphasia recovery after rehabilitation

M Varkanitsa, S Kiran - International journal of speech-language …, 2022 - Taylor & Francis
Purpose: This paper reviews several studies whose aim was to understand the nature of
language recovery in chronic aphasia and identify predictors of how people may recover …

Predicting outcomes of language rehabilitation: Prognostic factors for immediate and long-term outcomes after aphasia therapy

S Kristinsson, A Basilakos, DB Den Ouden… - Journal of Speech …, 2023 - ASHA
Background: Aphasia therapy is an effective approach to improve language function in
chronic aphasia. However, it remains unclear what prognostic factors facilitate therapy …

Dynamic network properties of the superior temporal gyrus mediate the impact of brain age gap on chronic aphasia severity

J Wilmskoetter, N Busby, X He, L Caciagli… - Communications …, 2023 - nature.com
Brain structure deteriorates with aging and predisposes an individual to more severe
language impairments (aphasia) after a stroke. However, the underlying mechanisms of this …

Neural network bases of thematic semantic processing in language production

DS Blackett, J Varkey, J Wilmskoetter, R Roth… - Cortex, 2022 - Elsevier
Semantic processing is a central component of language and cognition. The anterior
temporal lobe is postulated to be a key hub for semantic processing, but the posterior …

Advanced brain age and chronic Poststroke aphasia severity

N Busby, J Wilmskoetter, E Gleichgerrcht, C Rorden… - Neurology, 2023 - AAN Enterprises
Background and Objectives Chronic poststroke language impairment is typically worse in
older individuals or those with large stroke lesions. However, there is unexplained variance …

Isolating the white matter circuitry of the dorsal language stream: Connectome‐symptom mapping in stroke induced aphasia

V Baboyan, A Basilakos, G Yourganov… - Human brain …, 2021 - Wiley Online Library
The application of ℓ1‐regularized machine learning models to high‐dimensional
connectomes offers a promising methodology to assess clinical‐anatomical correlations in …

Language recovery after brain injury: a structural network control theory study

J Wilmskoetter, X He, L Caciagli… - Journal of …, 2022 - Soc Neuroscience
Aphasia recovery after stroke depends on the condition of the remaining, extralesional brain
network. Network control theory (NCT) provides a unique, quantitative approach to assess …

Intersectional sociodemographic and neurological relationships in the naming ability of persons with post-stroke aphasia

M Jacobs, E Evans, C Ellis - Journal of Communication Disorders, 2023 - Elsevier
Introduction Significant attention has been given to the role of brain function and disruption
in determining performance on naming tasks among individuals with aphasia. However …

Diabetes, brain health, and treatment gains in post-stroke aphasia

R Roth, N Busby, J Wilmskoetter… - Cerebral …, 2023 - academic.oup.com
In post-stroke aphasia, language improvements following speech therapy are variable and
can only be partially explained by the lesion. Brain tissue integrity beyond the lesion (brain …