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A 'Mini Linguistic State Examination' to classify primary progressive aphasia. ...
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A 'Mini Linguistic State Examination' to classify primary progressive aphasia. ...
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Content Word Production during Discourse in Aphasia: Deficits in Word Quantity, Not Lexical-Semantic Complexity. ...
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Content Word Production during Discourse in Aphasia: Deficits in Word Quantity, Not Lexical-Semantic Complexity.
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Graded, multidimensional intra- and intergroup variations in primary progressive aphasia and post-stroke aphasia.
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In: Brain : a journal of neurology, vol 143, iss 10 (2020)
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A unified model of post-stroke language deficits including discourse production and their neural correlates. ...
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Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia ...
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The verbal, nonverbal and structural bases of functional communication abilities in aphasia ...
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Graded, multidimensional intra- and intergroup variations in primary progressive aphasia and post-stroke aphasia. ...
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The verbal, non-verbal and structural bases of functional communication abilities in aphasia ...
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Graded, multidimensional intra- and intergroup variations in primary progressive aphasia and post-stroke aphasia.
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Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia
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A unified model of post-stroke language deficits including discourse production and their neural correlates.
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The verbal, nonverbal and structural bases of functional communication abilities in aphasia
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Investigating the effect of changing parameters when building prediction models in post-stroke aphasia
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In: Nat Hum Behav (2020)
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Abstract:
Neuroimaging has radically improved our understanding of how speech and language abilities map to the brain in normal and impaired participants, including the diverse, graded variations observed in post-stroke aphasia. A handful of studies have begun to explore the reverse inference: creating brain-to-behaviour prediction models. In this study, we explored the effect of three critical parameters on model performance: (1) brain partitions as predictive features; (2) combination of multimodal neuroimaging; and (3) type of machine learning algorithms. We explored the influence of these factors while predicting four principal dimensions of language and cognition variation in post-stroke aphasia. Across all four behavioural dimensions, we consistently found that prediction models derived from diffusion weighted data did not improve performance over and above models using structural measures extracted from T1 scans. Our results provide a set of principles to guide future work aiming to predict outcomes in neurological patients from brain imaging data.
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URL: https://doi.org/10.1038/s41562-020-0854-5 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116235/ http://www.ncbi.nlm.nih.gov/pubmed/32313234
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The verbal, non-verbal and structural bases of functional communication abilities in aphasia
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In: Brain Commun (2020)
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Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia
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In: Brain Commun (2020)
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A unified model of post-stroke language deficits including discourse production and their neural correlates
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In: Brain (2020)
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Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia. ...
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Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia ...
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