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Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke
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In: Research outputs 2014 to 2021 (2022)
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Training flexible conceptual retrieval in post-stroke aphasia
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool. ...
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Auditory beat perception is related to speech output fluency in post-stroke aphasia ...
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool ...
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool
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In: Front Aging Neurosci (2021)
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Training flexible conceptual retrieval in post-stroke aphasia
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In: ISSN: 0960-2011 ; Neuropsychological Rehabilitation (2021) pp. 1-27 (2021)
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Auditory beat perception is related to speech output fluency in post-stroke aphasia
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool.
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In: essn: 1663-4365 ; nlmid: 101525824 (2021)
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The neural bases of resilient semantic system: evidence of variable neuro-displacement in cognitive systems
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In: Brain Struct Funct (2021)
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Multiple dimensions underlying the functional organization of the language network
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In: Neuroimage (2021)
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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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Abstract:
Language impairments caused by stroke (post-stroke aphasia, PSA) and neurodegeneration (primary progressive aphasia, PPA) have overlapping symptomatology, nomenclature and are classically divided into categorical subtypes. Surprisingly, PPA and PSA have rarely been directly compared in detail. Rather, previous studies have compared certain subtypes (e.g. semantic variants) or have focused on a specific cognitive/linguistic task (e.g. reading). This study assessed a large range of linguistic and cognitive tasks across the full spectra of PSA and PPA. We applied varimax-rotated principal component analysis to explore the underlying structure of the variance in the assessment scores. Similar phonological, semantic and fluency-related components were found for PSA and PPA. A combined principal component analysis across the two aetiologies revealed graded intra- and intergroup variations on all four extracted components. Classification analysis was used to test, formally, whether there were any categorical boundaries for any subtypes of PPA or PSA. Semantic dementia formed a true diagnostic category (i.e. within group homogeneity and distinct between-group differences), whereas there was considerable overlap and graded variations within and between other subtypes of PPA and PSA. These results suggest that (i) a multidimensional rather than categorical classification system may be a better conceptualization of aphasia from both causes; and (ii) despite the very different types of pathology, these broad classes of aphasia have considerable features in common.
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Keyword:
2.1 Biological and endogenous factors; Acquired Cognitive Impairment; Aged; Aging; Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD); Alzheimer's Disease Related Dementias (ADRD); Aphasia; Brain Disorders; classification; Clinical Research; Dementia; Female; Frontotemporal Dementia (FTD); Humans; Male; Medical and Health Sciences; Middle Aged; neurodegeneration; Neurodegenerative; Neurology & Neurosurgery; Neurosciences; Observer Variation; Phonetics; Primary Progressive; Principal Component Analysis; Psychology and Cognitive Sciences; Rare Diseases; Semantics; Stroke
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URL: https://escholarship.org/uc/item/6r78p9jx
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RELEASE: A protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia
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In: Research outputs 2014 to 2021 (2020)
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Bipartite Functional Fractionation within the Default Network Supports Disparate Forms of Internally Oriented Cognition
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In: Cereb Cortex (2020)
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RELEASE: a protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia
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A unified neurocomputational bilateral model of spoken language production in healthy participants and recovery in poststroke aphasia
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In: Proc Natl Acad Sci U S A (2020)
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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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Redefining the multidimensional clinical phenotypes of frontotemporal lobar degeneration syndromes
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In: Brain (2020)
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Establishing two principal dimensions of cognitive variation in logopenic progressive aphasia
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In: Brain Commun (2020)
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