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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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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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Abstract:
Logopenic progressive aphasia is a neurodegenerative syndrome characterized by sentence repetition and naming difficulties arising from left-lateralized temporoparietal atrophy. Clinical descriptions of logopenic progressive aphasia largely concentrate on profiling language deficits, however, accumulating evidence points to the presence of cognitive deficits even on tasks with minimal language demands. Although non-linguistic cognitive deficits in logopenic progressive aphasia are thought to scale with disease severity, patients at discrete stages of language dysfunction display overlapping cognitive profiles, suggesting individual-level variation in cognitive performance, independent of primary language dysfunction. To address this issue, we used principal component analysis to decompose the individual-level variation in cognitive performance in 43 well-characterized logopenic progressive aphasia patients who underwent multi-domain neuropsychological assessments and structural neuroimaging. The principal component analysis solution revealed the presence of two, statistically independent factors, providing stable and clinically intuitive explanations for the majority of variance in cognitive performance in the syndrome. Factor 1 reflected ‘speech production and verbal memory’ deficits which typify logopenic progressive aphasia. Systematic variations were also confirmed on a second, orthogonal factor mainly comprising visuospatial and executive processes. Adopting a case-comparison approach, we further demonstrate that pairs of patients with comparable Factor 1 scores, regardless of their severity, diverge considerably on visuo-executive test performance, underscoring the inter-individual variability in cognitive profiles in comparably ‘logopenic’ patients. Whole-brain voxel-based morphometry analyses revealed that speech production and verbal memory factor scores correlated with left middle frontal gyrus, while visuospatial and executive factor scores were associated with grey matter intensity of right-lateralized temporoparietal, middle frontal regions and their underlying white matter connectivity. Importantly, logopenic progressive aphasia patients with poorer visuospatial and executive factor scores demonstrated greater right-lateralized temporoparietal and frontal atrophy. Our findings demonstrate the inherent variation in cognitive performance at an individual- and group-level in logopenic progressive aphasia, suggesting the presence of a genuine co-occurring cognitive impairment that is statistically independent of language function and disease severity.
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Keyword:
Original Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/33376980 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750924/ https://doi.org/10.1093/braincomms/fcaa125
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