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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
In: Research outputs 2014 to 2021 (2022)
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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
In: ISSN: 0268-7038 ; EISSN: 1464-5041 ; Aphasiology ; https://hal.archives-ouvertes.fr/hal-03528818 ; Aphasiology, Taylor & Francis (Routledge), 2021, ⟨10.1080/02687038.2021.1897081⟩ (2021)
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Predictors of Poststroke Aphasia Recovery: A Systematic Review-Informed Individual Participant Data Meta-Analysis
In: ISSN: 0039-2499 ; EISSN: 1524-4628 ; Stroke ; https://hal.archives-ouvertes.fr/hal-03277820 ; Stroke, American Heart Association, 2021, 52 (5), pp.1778-1787. ⟨10.1161/strokeaha.120.031162⟩ (2021)
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Predictors of poststroke aphasia recovery: a systematic review-informed individual participant data meta-analysis
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Prognostication in post-stroke aphasia: speech pathologists’ clinical insights on formulating and delivering information about recovery ...
Cheng, Bonnie B. Y.; Ryan, Brooke; Copland, David A.. - : Taylor & Francis, 2021
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Predictors of Poststroke Aphasia Recovery: A Systematic Review-Informed Individual Participant Data Meta-Analysis ...
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Prognostication in post-stroke aphasia: speech pathologists’ clinical insights on formulating and delivering information about recovery ...
Cheng, Bonnie B. Y.; Ryan, Brooke; Copland, David A.. - : Taylor & Francis, 2021
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8
Predictors of Poststroke Aphasia Recovery A Systematic Review-Informed Individual Participant Data Meta-Analysis
Jefferies, Elizabeth; Becker, Frank; Paik, Nam-Jong. - : LIPPINCOTT WILLIAMS & WILKINS, 2021
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9
Event-Related Brain Potentials Elicited by Semantic and Syntactic Anomalies during Auditory Sentence Processing
Faustmann, Anja [Sonstige]; Murdoch, Bruce E. [Sonstige]; Finnigan, Simon P. [Sonstige]. - 2020
DNB Subject Category Language
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10
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
In: Research outputs 2014 to 2021 (2020)
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11
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
Brady, Marian C.; Ali, Myzoon; VandenBerg, Kathryn. - : Taylor & Francis, 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
Brady, Marian C.; Ali, Myzoon; VandenBerg, Kathryn. - : ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2020
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13
Alterations to dual stream connectivity predicts response to aphasia therapy following stroke
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14
Cross-modal emotion recognition and autism-like traits in typically developing children
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15
The influence of contextual constraint on verbal selection mechanisms and its neural correlates in Parkinson’s disease
Isaacs, Megan L.; McMahon, Katie L.; Angwin, Anthony J.. - : Springer New York LLC, 2020
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16
Elizabeth Usher Memorial Lecture: lost in translation? Challenges and future prospects for a neurobiological approach to aphasia rehabilitation
Copland, David A.. - : Taylor & Francis, 2020
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17
Alterations to dual stream connectivity predicts response to aphasia therapy following stroke
Abstract: Background: Predicting aphasia recovery is difficult due to a high variability in treatment response. Detailed measures of treatment response are compounded by a dearth of information that examine brain connections that contribute to clinical improvement. In this study we measure alterations to cortical connectivity pathways during a therapy paradigm to detect whether key brain connections that contribute to language recovery can be detected prior to therapy. Methods: We conducted a case–control trial with twenty-three adults including eight adults with chronic, post-stroke aphasia. Aphasia patients underwent 12 naming therapy sessions over 4 weeks, consisting of semantic and phonological treatment approaches. High-density electroencephalography (128 channel EEG) was measured prior to therapy and immediately following treatment in patients with aphasia. Analysis via a dynamic causal modelling (DCM) was used to assess which cortical connections significantly correlated with therapy response. Results: Altered cortical responses in aphasia patients measured bilaterally in a dual stream DCM connectivity model were predictive of treatment-induced improvement in naming. Pre-treatment DCM coupling (i.e., strength of cortical connections) significant correlated with naming improvement for items treated with semantic therapy, as indicated by increased connection strengths between left inferior parietal lobule (LIPL) and inferior frontal gyrus (LIFG, r = .63, pFDR = .016). In particular, the mediating role of contralateral regions significantly influences overall treatment improvement in the latter stages of stroke recovery. Conclusions: Our findings identify a potential means to stratify larger cohorts of patients in neurorehabilitation settings into distinct treatments that are tailored to their individual language deficit.
Keyword: 2805 Cognitive Neuroscience; 3205 Experimental and Cognitive Psychology; 3206 Neuropsychology and Physiological Psychology; Dynamic causal modelling; High-density EEG; Naming treatment; Post-stroke aphasia; Stroke recovery
URL: https://espace.library.uq.edu.au/view/UQ:4b08715/UQ4b08715_OA.pdf
https://espace.library.uq.edu.au/view/UQ:4b08715
https://espace.library.uq.edu.au/view/UQ:4b08715/thumbnail_UQ4b08715_OA_t.jpg
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18
Multisession transcranial direct current stimulation facilitates verbal learning and memory consolidation in young and older adults
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Prognostication in post‐stroke aphasia: how do speech pathologists formulate and deliver information about recovery?
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20
The Suppression of Irrelevant Semantic Representations in Parkinson’s Disease
Isaacs, Megan L.; McMahon, Katie L.; Angwin, Anthony J.. - : Frontiers Media S.A., 2019
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