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Alterations to dual stream connectivity predicts response to aphasia therapy following stroke
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Abstract:
Background: Predicting aphasia recovery is difficult due to a high variability in treatment response. Detailed measures of treatment response are compounded by a dearth of information that examine brain connections that contribute to clinical improvement. In this study we measure alterations to cortical connectivity pathways during a therapy paradigm to detect whether key brain connections that contribute to language recovery can be detected prior to therapy. Methods: We conducted a case-control trial with twenty-three adults including eight adults with chronic, post-stroke aphasia. Aphasia patients underwent 12 naming therapy sessions over 4 weeks, consisting of semantic and phonological treatment approaches. High-density electroencephalography (128 channel EEG) was measured prior to therapy and immediately following treatment in patients with aphasia. Analysis via a dynamic causal modelling (DCM) was used to assess which cortical connections significantly correlated with therapy response. Results: Altered cortical responses in aphasia patients measured bilaterally in a dual stream DCM connectivity model were predictive of treatment-induced improvement in naming. Pre-treatment DCM coupling (i.e., strength of cortical connections) significant correlated with naming improvement for items treated with semantic therapy, as indicated by increased connection strengths between left inferior parietal lobule (LIPL) and inferior frontal gyrus (LIFG, r = .63, p FDR = .016). In particular, the mediating role of contralateral regions significantly influences overall treatment improvement in the latter stages of stroke recovery. Conclusions: Our findings identify a potential means to stratify larger cohorts of patients in neurorehabilitation settings into distinct treatments that are tailored to their individual language deficit.
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Keyword:
dynamic causal modelling; hight-density EEG; naming treatment; post-stroke aphasia; stroke recovery
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URL: http://hdl.handle.net/1959.13/1426690
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Cross-modal emotion recognition and autism-like traits in typically developing children
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An automated approach to examining pausing in the speech of people with dementia
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The influence of contextual constraint on verbal selection mechanisms and its neural correlates in Parkinson’s disease
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Alterations to dual stream connectivity predicts response to aphasia therapy following stroke
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The Suppression of Irrelevant Semantic Representations in Parkinson’s Disease
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White noise facilitates new-word learning from context
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In: Faculty of Social Sciences - Papers (2019)
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Functional correlates of strategy formation and verbal suppression in Parkinson's disease
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Semantic processing in children with cochlear implants: evidence from event-related potentials
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Conversational trouble and repair in dementia: revision of an existing coding framework
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The suppression of irrelevant semantic representations in Parkinson's Disease
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Reading development in children with cochlear implants who communicate via spoken language: A psycholinguistic investigation
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Spelling in children with cochlear implants: evidence of underlying processing differences
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Lexical ambiguity resolution during sentence processing in Parkinson’s disease: An event-related potential study
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White noise enhances new-word learning in healthy adults
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In: Faculty of Social Sciences - Papers (2017)
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Semantic Feature Disturbance in Alzheimer Disease: Evidence from an Object Decision Task
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