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Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia
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In: Stroke (2022)
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Factors affecting outcomes for semantic feature analysis treatment in post-stroke bilingual aphasia
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Behavioral and neural effects of intensive cognitive and communication rehabilitation in young college-bound adults with acquired brain injury
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Varying degrees of cognitive control and its impact on lexical access during verbal fluency tasks in bilingual persons with aphasia
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Acquired Brain Injury in Adults: A Review of Pathophysiology, Recovery, and Rehabilitation
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In: Perspect ASHA Spec Interest Groups (2021)
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Clustering and Switching in Verbal Fluency Across Varying Degrees of Cognitive Control Demands: Evidence From Healthy Bilinguals and Bilingual Patients With Aphasia
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In: Neurobiol Lang (Camb) (2021)
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Predicting language treatment response in bilingual aphasia using neural network-based patient models
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In: Sci Rep (2021)
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Telerehabilitation for Word Retrieval Deficits in Bilinguals With Aphasia: Effectiveness and Reliability as Compared to In-person Language Therapy
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In: Front Neurol (2021)
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Predicting language recovery in post-stroke aphasia using behavior and functional MRI
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In: Sci Rep (2021)
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Abstract:
Language outcomes after speech and language therapy in post-stroke aphasia are challenging to predict. This study examines behavioral language measures and resting state fMRI (rsfMRI) as predictors of treatment outcome. Fifty-seven patients with chronic aphasia were recruited and treated for one of three aphasia impairments: anomia, agrammatism, or dysgraphia. Treatment effect was measured by performance on a treatment-specific language measure, assessed before and after three months of language therapy. Each patient also underwent an additional 27 language assessments and a rsfMRI scan at baseline. Patient scans were decomposed into 20 components by group independent component analysis, and the fractional amplitude of low-frequency fluctuations (fALFF) was calculated for each component time series. Post-treatment performance was modelled with elastic net regression, using pre-treatment performance and either behavioral language measures or fALFF imaging predictors. Analysis showed strong performance for behavioral measures in anomia (R(2) = 0.948, n = 28) and for fALFF predictors in agrammatism (R(2) = 0.876, n = 11) and dysgraphia (R(2) = 0.822, n = 18). Models of language outcomes after treatment trained using rsfMRI features may outperform models trained using behavioral language measures in some patient populations. This suggests that rsfMRI may have prognostic value for aphasia therapy outcomes.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/33875733 https://doi.org/10.1038/s41598-021-88022-z http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055660/
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Telerehabilitation for word retrieval deficits in bilinguals with aphasia: Effectiveness and reliability as compared to in-person language therapy
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A Virtual, Randomized, Control Trial of a Digital Therapeutic for Speech, Language, and Cognitive Intervention in Post-stroke Persons With Aphasia ; Frontiers in Neurology
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Aphasia management in growing multiethnic populations
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In: Research outputs 2014 to 2021 (2020)
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Epilogue: Harnessing the experimental and clinical resources to address service imperatives in multiethnic aphasia caseloads
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In: Research outputs 2014 to 2021 (2020)
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Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial
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Videoconference Administration of the Western Aphasia Battery–Revised: Feasibility and Validity
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In: Am J Speech Lang Pathol (2020)
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Predicting treatment outcomes for bilinguals with aphasia using computational modeling: Study protocol for the PROCoM randomised controlled trial
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In: BMJ Open (2020)
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Verbal fluency as a measure of lexical access and cognitive control in bilingual persons with aphasia
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In: Aphasiology (2020)
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Functional Near-Infrared Spectroscopy in the Study of Speech and Language Impairment Across the Life Span: A Systematic Review
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In: Am J Speech Lang Pathol (2020)
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Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia
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In: Brain Lang (2020)
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