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1
Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia
In: Stroke (2022)
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2
Selective Functional Network Changes Following tDCS-Augmented Language Treatment in Primary Progressive Aphasia
In: Front Aging Neurosci (2021)
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3
Predicting language recovery in post-stroke aphasia using behavior and functional MRI
In: Sci Rep (2021)
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4
Distinct Neural Substrates Support Phonological and Orthographic Working Memory: Implications for Theories of Working Memory
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5
Distinct Neural Substrates Support Phonological and Orthographic Working Memory: Implications for Theories of Working Memory
In: Front Neurol (2021)
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6
A Tool for Automatic Scoring of Spelling Performance
In: J Speech Lang Hear Res (2020)
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7
Reading Proficiency Influences the effects of Transcranial Direct Current Stimulation: Evidence from Selective Modulation of Dorsal and Ventral Pathways of reading in Bilinguals
In: Brain Lang (2020)
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8
Different patterns of functional network re-organization across the variants of primary progressive aphasia: A graph theoretic analysis
In: Neurobiol Aging (2020)
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9
Reliability of BOLD signals in chronic stroke-induced aphasia ...
Higgins, James; Wang, Xue; Barbieri, Elena. - : Unpublished, 2019
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10
Language network re-organization associated with word- and sentence-level language interventions in chronic aphasia ...
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11
The use of spelling for variant classification in primary progressive aphasia: Theoretical and practical implications
In: Neuropsychologia (2019)
Abstract: Currently, variant subtyping in primary progressive aphasia (PPA) requires an expert neurologist and extensive language and cognitive testing. Spelling impairments appear early in the development of the disorder, and the three PPA variants (non-fluent - nfvPPA; semantic - svPPA; logopenic - lvPPA) reportedly show fairly distinct spelling profiles. Given the theoretical and empirical evidence indicating that spelling may serve as a proxy for spoken language, the current study aimed to determine whether spelling performance alone, when evaluated with advanced statistical analyses, allows for accurate PPA variant classification. A spelling to dictation task (with real words and pseudowords) was administered to 33 PPA individuals: 17 lvPPA, 10 nfvPPA, 6 svPPA. Using machine learning classification algorithms, we obtained pairwise variant classification accuracies that ranged between 67 and 100%. In additional analyses that assumed no prior knowledge of each case's variant, classification accuracies ranged between 59 and 70%. To our knowledge, this is the first time that all the PPA variants, including the most challenging logopenic variant, have been classified with such high accuracy when using information from a single language task. These results underscore the rich structure of the spelling process and support the use of a spelling task in PPA variant classification.
Keyword: Article
URL: https://doi.org/10.1016/j.neuropsychologia.2019.107157
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817413/
http://www.ncbi.nlm.nih.gov/pubmed/31401078
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12
From thought to action : producing written language
In: The Oxford handbook of psycholinguistics (Oxford, 2018), p. 398-431
MPI für Psycholinguistik
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13
Local response heterogeneity indexes experience-based neural differentiation in reading
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14
Learning in complex, multi-component cognitive systems: Different learning challenges within the same system
In: J Exp Psychol Learn Mem Cogn (2018)
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15
Investigating the mechanisms of written word production: insights from the written blocked cyclic naming paradigm [<Journal>]
Breining, Bonnie [Verfasser]; Rapp, Brenda [Sonstige]
DNB Subject Category Language
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16
Right hemisphere grey matter volume and language functions in stroke aphasia
Lukic, Sladjana; Barbieri, Elena; Wang, Xue. - : Hindawi Publishing Corporation, 2017
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17
Intrahemispheric Perfusion in Chronic Stroke-Induced Aphasia
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18
Right Hemisphere Grey Matter Volume and Language Functions in Stroke Aphasia
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19
Intrahemispheric Perfusion in Chronic Stroke-Induced Aphasia
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20
Right Hemisphere Grey Matter Volume and Language Functions in Stroke Aphasia
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