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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
Predicting language recovery in post-stroke aphasia using behavior and functional MRI
In: Sci Rep (2021)
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3
White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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4
supplamental_materials_NNR – Supplemental material for White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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5
supplamental_materials_NNR – Supplemental material for White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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6
White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia ...
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7
Reliability of BOLD signals in chronic stroke-induced aphasia ...
Higgins, James; Wang, Xue; Barbieri, Elena. - : Unpublished, 2019
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8
Language network re-organization associated with word- and sentence-level language interventions in chronic aphasia ...
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9
Neural networks for sentence comprehension and production: an ALE-based meta-analysis of neuroimaging studies
In: Hum Brain Mapp (2019)
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10
Sentence level aphasia
In: The Oxford handbook of psycholinguistics (Oxford, 2018), p. 239-258
MPI für Psycholinguistik
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11
The impact of successive bi-/multilingualism on the cognitive abilities of healthy older speakers: Evidence from Norwegian academics ...
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12
Morphosyntactic production and WM in aphasia (Fyndanis et al., 2018) ...
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13
Morphosyntactic production and WM in aphasia (Fyndanis et al., 2018) ...
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14
Neurolinguistics
In: The handbook of linguistics (Oxford, 2017), p. 323-343
MPI für Psycholinguistik
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15
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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16
Intrahemispheric Perfusion in Chronic Stroke-Induced Aphasia
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17
Right Hemisphere Grey Matter Volume and Language Functions in Stroke Aphasia
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18
A computational investigation of sources of variability in sentence comprehension difficulty in aphasia ...
Abstract: We present a computational evaluation of three hypotheses about sources of deficit in sentence comprehension in aphasia: slowed processing, intermittent deficiency, and resource reduction. The ACT-R based Lewis and Vasishth (2005) model is used to implement these three proposals. Slowed processing is implemented as slowed default production-rule firing time; intermittent deficiency as increased random noise in activation of chunks in memory; and resource reduction as reduced goal activation. As data, we considered subject vs. object rela- tives whose matrix clause contained either an NP or a reflexive, presented in a self-paced listening modality to 56 individuals with aphasia (IWA) and 46 matched controls. The participants heard the sentences and carried out a picture verification task to decide on an interpretation of the sentence. These response accuracies are used to identify the best parameters (for each participant) that correspond to the three hypotheses mentioned above. We show that controls have ... : 6 pages, 4 tables, to appear in Proceedings of MathPsych/ICCM 2017, Warwick, UK ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1703.04677
https://arxiv.org/abs/1703.04677
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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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