Performance Variability as a Predictor of Response to Aphasia Treatment

Duncan, E. Susan; Schmah, Tanya; Small, Steven L.

doi:10.1177/1545968316642522

Cited by 29 publications

(13 citation statements)

References 29 publications

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“…Therefore, one aim would be to keep the variability in the measurement low (Ciccone, 2003). On the other hand, the between-session variability in performance can be an indicator for the improvement potential of an IWA (Duncan, Schmah, & Small, 2016). Thus, disregarding the variability in IWA could oversimplify the disorder (Nespoulous, 2000).…”

Section: Test-retest Variabilitymentioning

confidence: 99%

Variability in sentence comprehension in aphasia in German

Pregla¹,

Lissón²,

Vasishth³

et al. 2020

Preprint

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An important property of aphasia is the variability in the performance between and within individual patients. However, there have been only a few systematic large-scale studies in a range of syntactic constructions and tasks that make it possible to investigate variability and to evaluate the quantitative predictions of competing models of sentence comprehension in aphasia (Lissón et al., under review). This is the first comprehensive investigation of variability in sentence comprehension in German, testing 18 individuals with aphasia and a control group and involving (a) several construction (canonical / non-canonical declarative sentences, subject / object relative clauses, subject / object control structures, near / distant antecedents of pronouns), (b) three tasks (object manipulation, sentence-picture matching with / without self-paced listening), and (c) two test phases (to investigate test-retest reliability). This data-set provides a detailed investigation of individual-level variation in individuals with aphasia and control participants along several dimensions of sentence processing difficulty.

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Section: Test-retest Variabilitymentioning

confidence: 99%

Variability in sentence comprehension in aphasia in German

Pregla¹,

Lissón²,

Vasishth³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Unfortunately, the administrative constraints of our protocol did not allow us to follow our population longer, which is a limitation of our study. Contrary to previous studies, we used three baseline evaluations in order to control the intraindividual variability of speech production, which is widely known in patients with poststroke aphasia (Duncan, Schmah, & Small, 2016;Villard & Kiran, 2018). Nevertheless, in order for multiple baselines to be relevant and meaningful, the Single-Case Experimental Design (SCED) methodology would have required optimally five baselines at least.…”

Section: Strengths and Limitations Of The Present Studymentioning

confidence: 99%

Impact of Combined Transcranial Direct Current Stimulation and Speech-language Therapy on Spontaneous Speech in Aphasia: A Randomized Controlled Double-blind Study

Guillouët

Cogné²,

Saverot

et al. 2020

J Int Neuropsychol Soc

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Objective:Aphasia recovery depends on neural reorganization, which can be enhanced by speech-language therapy and noninvasive brain stimulation. Several studies suggested that transcranial direct current stimulation (tDCS) associated with speech-language therapy may improve verbal performance evaluated by analytic tests, but none focused on spontaneous speech. We explored the effect of bihemispheric tDCS on spontaneous speech in patients with poststroke aphasia.Methods:In this multicentric controlled randomized cross-over double-blind study, we included 10 patients with poststroke aphasia (4 had aphasia >6 months and 6 with aphasia <6 months). We combined the sessions of speech-language therapy and bihemispheric tDCS (2 mA, 20 min). After three baseline speech evaluations (1/week), two different conditions were randomly consecutively proposed: active and sham tDCS over 3 weeks with 1 week of washout in between. The main outcome measure was the number of different nouns used in 2 min to answer the question “what is your job.”Results:There was no significant difference between conditions concerning the main outcome measure (p = .47) nor in the number of verbs, adjectives, adverbs, pronouns, repetitions, blank ideas, ideas, utterances with grammatical errors or paraphasias used. Other cognitive functions (verbal working memory, neglect, or verbal fluency) were not significantly improved in the tDCS group. No adverse events occurred.Conclusion:Our results differed from previous studies using tDCS to improve naming in patients with poststroke aphasia possibly due to bihemispheric stimulation, rarely used previously. The duration of the rehabilitation period was short given the linguistic complexity of the measure. This negative result should be confirmed by larger studies with ecological measures.

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“…Nineteen native English speakers with chronic aphasia secondary to ischemic stroke participated in a larger study of intensive, imitation-based aphasia therapy (Duncan et al, 2016;Lee et al, 2010). Fourteen subjects were selected from that superset based on participation in three baseline rsfMRI scans before the initiation of therapy.…”

Section: Participantsmentioning

confidence: 99%

Increased Modularity of Resting State Networks Supports Improved Narrative Production in Aphasia Recovery

Duncan

Small

2016

Brain Connectivity

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The networks that emerge in the analysis of resting state functional magnetic resonance imaging (rsfMRI) data are believed to reflect the intrinsic organization of the brain. One key property of such complex biological networks is modularity, a measure of community structure. This topological characteristic changes in neurological disease and recovery. Nineteen subjects with language disorders after stroke (aphasia) underwent neuroimaging and behavioral assessment at multiple time points before (baseline) and after an imitation-based therapy. Language was assessed with a narrative production task. Group independent component analysis was performed on the rsfMRI data to identify resting state networks (RSNs). For each participant and each rsfMRI acquisition, we constructed a graph comprising all RSNs. We assigned nodal community based on a region's RSN membership, calculated the modularity score, and then correlated changes in modularity and therapeutic gains on the narrative task. We repeated this comparison controlling for pretherapy performance and using a community structure not based on RSN membership. Increased RSN modularity was positively correlated with improvement on the narrative task immediately post-therapy. This finding remained significant when controlling for pretherapy performance. There were no significant findings for network modularity and behavior when nodal community was assigned without consideration of RSN membership. We interpret these findings as support for the adaptive role of network segregation in behavioral improvement in aphasia therapy. This has important clinical implications for the targeting of noninvasive brain stimulation in poststroke remediation and suggests potential for further insight into the processes underlying such changes through computational modeling.

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Performance Variability as a Predictor of Response to Aphasia Treatment

Cited by 29 publications

References 29 publications

Variability in sentence comprehension in aphasia in German

Variability in sentence comprehension in aphasia in German

Impact of Combined Transcranial Direct Current Stimulation and Speech-language Therapy on Spontaneous Speech in Aphasia: A Randomized Controlled Double-blind Study

Increased Modularity of Resting State Networks Supports Improved Narrative Production in Aphasia Recovery

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