Better long-term speech outcomes in stroke survivors who received early clinical speech and language therapy: What’s driving recovery? DOI Creative Commons
Sophie Roberts,

Rachel M. Bruce,

Louise Lim

et al.

Neuropsychological Rehabilitation, Journal Year: 2021, Volume and Issue: 32(9), P. 2319 - 2341

Published: July 2, 2021

Establishing whether speech and language therapy after stroke has beneficial effects on speaking ability is challenging because of the need to control for multiple non-therapy factors known influence recovery. We investigated how at three time points post-stroke differed in patients who received varying amounts clinical first month post-stroke. In contrast prior studies, we factored out variance from: initial severity impairment, amount later therapy, left right hemisphere lesion size site. found that one was significantly better early (n = 79), versus those did not 64), number hours positively related recovery year offer two non-mutually exclusive interpretations these data: (1) may benefit from provision self-management strategies; (2) more likely be provided have a chance (e.g., poor physical and/or mental health impact suitability recovery). Both implications future studies aiming predict individual patients' outcomes stroke, their response therapy.

Language: Английский

Neuroplasticity of Language Networks in Aphasia: Advances, Updates, and Future Challenges DOI Creative Commons
Swathi Kıran, Cynthia K. Thompson

Frontiers in Neurology, Journal Year: 2019, Volume and Issue: 10

Published: April 2, 2019

Researchers have sought to understand how language is processed in the brain, brain damage affects abilities, and what can be expected during recovery period since early 19th century. In this review, we first discuss mechanisms of plasticity post-stroke both acute chronic phase recovery. We then review factors that are associated with First, organism intrinsic variables such as age, lesion volume location structural integrity influence Next, extrinsic treatment Here, recent advances our understanding highlight work emphasizes a network perspective Finally, propose interpretation principles neuroplasticity, originally proposed by Kleim Jones (2008) context extant literature aphasia rehabilitation. Ultimately, encourage researchers sophisticated intervention studies bring us closer goal providing precision for patients better neural underlie successful neuroplasticity.

Language: Английский

Citations

181
Functional Contributions of the Arcuate Fasciculus to Language Processing DOI Creative Commons
Maria V. Ivanova, Allison Zhong,

And U. Turken

et al.

Frontiers in Human Neuroscience, Journal Year: 2021, Volume and Issue: 15

Published: June 25, 2021

Current evidence strongly suggests that the arcuate fasciculus (AF) is critical for language, from spontaneous speech and word retrieval to repetition comprehension abilities. However, further pinpoint its unique differential role in anatomy needs be explored greater detail contribution language processing beyond of known cortical areas must established. We address this a comprehensive evaluation specific functional AF well-characterized cohort individuals with chronic aphasia (n = 33) following left hemisphere stroke. To evaluate macro- microstructural integrity AF, tractography based on constrained spherical deconvolution model was performed. The right hemispheres were then manually reconstructed using modified 3-segment (Catani et al., 2005), 2-segment (Glasser Rilling, 2008). normalized volume measure long posterior segments significantly correlated indices while controlling gender lesion volume. Specific contributions accounting - inferior frontal, parietal, temporal tested multiple regression analyses. Involvement tract demonstrated: segment contributed naming abilities; anterior fluency naming; comprehension. results highlight important fiber pathways impairments areas. At same time, no clear tracts could ascertained. In sum, our findings lend support broader processing, particular emphasis naming, point as being most crucial supporting residual

Language: Английский

Citations

66
Predicting Outcomes of Language Rehabilitation: Prognostic Factors for Immediate and Long-Term Outcomes After Aphasia Therapy DOI Creative Commons
Sigfus Kristinsson, Alexandra Basilakos, Dirk‐Bart den Ouden

et al.

Journal of Speech Language and Hearing Research, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 17

Published: Feb. 24, 2023

Background: Aphasia therapy is an effective approach to improve language function in chronic aphasia. However, it remains unclear what prognostic factors facilitate response at the individual level. Here, we utilized data from POLAR (Predicting Outcomes of Language Rehabilitation Aphasia) trial (a) determine therapy-induced change confrontation naming and long-term maintenance gains (b) examine extent which aphasia severity, age, education, time postonset, cognitive reserve predict 1 week, month, 6 months posttherapy. Method: A total 107 participants with (≥ 12 poststroke) underwent extensive case history, cognitive–linguistic testing, a neuroimaging workup prior receiving weeks impairment-based therapy. Therapy-induced performance (measured as raw on 175-item Philadelphia Naming Test [PNT]) was assessed week after follow-up points month completion. Change over evaluated using paired t tests, linear mixed-effects models were constructed association between outcomes. Results: improved by 5.9 PNT items (Cohen's d = 0.56, p < .001) 6.4 ( 0.66, 7.5 0.65, completion, respectively. severity emerged strongest predictor improvement recovery across points; mild (ß 5.85–9.02) moderate 9.65–11.54) impairment predicted better than severe 1.31–3.37) very 0.20–0.32) Age emergent factor for −0.14) −0.20) therapy, postonset −0.05) associated retention Conclusions: These results suggest that predictable based several easily measurable factors. Broadly speaking, these prognostication procedures can be indicate personalization realistic goal near future. Supplemental Material: https://doi.org/10.23641/asha.22141829

Language: Английский

Citations

20
Neuroplasticity in Aphasia: A Proposed Framework of Language Recovery DOI Creative Commons
Swathi Kıran, Erin L. Meier, Jeffrey P. Johnson

et al.

Journal of Speech Language and Hearing Research, Journal Year: 2019, Volume and Issue: 62(11), P. 3973 - 3985

Published: Nov. 22, 2019

Purpose Despite a tremendous amount of research in this topic, the precise neural mechanisms underlying language recovery remain unclear. Much evidence suggests that activation remaining left-hemisphere tissue, including perilesional areas, is linked to best treatment outcomes, yet recruitment right hemisphere for various tasks has also been favorable behavioral outcomes. In review article, we propose framework incorporates network-based view brain regions involved recovery. Method We from extant literature and work our own laboratory identify findings consistent with proposed gaps current knowledge. Results Expanding on Heiss Thiel's (2006) hierarchy recovery, 4 emerging themes: (a) Several bilateral constitute network engaged recovery; (b) spared are important components (c) as damage increases left hemisphere, expands domain-general regions; (d) patients efficient, control-like topology show greater improvement than abnormal topology. mechanistic model accounts individual differences behavior, topology, responsiveness. Conclusion Continued topic will lead us better understanding biomarkers influence and, consequently, more personalized options patients. Presentation Video https://doi.org/10.23641/asha.10257590

Language: Английский

Citations

49
Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy DOI Creative Commons
Sigfus Kristinsson, Dirk‐Bart den Ouden, Chris Rorden

et al.

Journal of Stroke, Journal Year: 2022, Volume and Issue: 24(2), P. 189 - 206

Published: May 31, 2022

Chronic aphasia, a devastating impairment of language, affects up to third stroke survivors. Speech and language therapy has consistently been shown improve function in prior clinical trials, but few clinicially applicable predictors individual response have identified date. Consequently, clinicians struggle substantially with prognostication the management aphasia. A rising prevalence particular younger populations, emphasized increasing demand for personalized approach aphasia therapy, that is, aimed at maximizing recovery each reference evidence-based recommendations. In this narrative review, we discuss current state literature respect commonly studied particular, focus our discussion on biographical, neuropsychological, neurobiological predictors, emphasize limitations literature, summarize consistent findings, consider how research field can better support development therapy. conclusion, review indicates future efforts should aim recruit larger samples people including by establishing multisite centers.

Language: Английский

Citations

26
Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia DOI Creative Commons
Anne Billot,

Sha Lai,

Maria Varkanitsa

et al.

Stroke, Journal Year: 2022, Volume and Issue: 53(5), P. 1606 - 1614

Published: Jan. 26, 2022

Poststroke recovery depends on multiple factors and varies greatly across individuals. Using machine learning models, this study investigated the independent complementary prognostic role of different patient-related in predicting response to language rehabilitation after a stroke.Fifty-five individuals with chronic poststroke aphasia underwent battery standardized assessments structural functional magnetic resonance imaging scans, received 12 weeks treatment. Support vector random forest models were constructed predict responsiveness treatment using pretreatment behavioral, demographic, neuroimaging data.The best prediction performance was achieved by support model trained severity, demographics, measures anatomic integrity resting-state connectivity (F1=0.94). This resulted significantly superior compared all feature sets (F1=0.82, P<0.001) or single set (F1 range=0.68-0.84, P<0.001). Across training data yielded F1 score (F1=0.87).While multimodal demographic information carry aphasia, brain at rest stroke is particularly important predictor treatment, both alone combined other factors.

Language: Английский

Citations

25
Demystifying the Complexity of Aphasia Treatment: Application of the Rehabilitation Treatment Specification Systemx DOI
Julius Fridriksson, Alexandra Basilakos, Mary Boyle

et al.

Archives of Physical Medicine and Rehabilitation, Journal Year: 2021, Volume and Issue: 103(3), P. 574 - 580

Published: Nov. 5, 2021

Language: Английский

Citations

32
Resting-state brain network connectivity is an independent predictor of responsiveness to language therapy in chronic post-stroke aphasia DOI Creative Commons
Isaac Falconer, Maria Varkanitsa, Swathi Kıran

et al.

Cortex, Journal Year: 2024, Volume and Issue: 173, P. 296 - 312

Published: Feb. 13, 2024

Language: Английский

Citations

4
The role of language-related functional brain regions and white matter tracts in network plasticity of post-stroke aphasia DOI

Yue Han,

Yuanyuan Jing,

Yanmin Shi

et al.

Journal of Neurology, Journal Year: 2024, Volume and Issue: 271(6), P. 3095 - 3115

Published: April 12, 2024

Language: Английский

Citations

3
Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia DOI
Jeffrey P. Johnson, Erin L. Meier, Yue Pan

et al.

Brain and Language, Journal Year: 2020, Volume and Issue: 207, P. 104809 - 104809

Published: June 5, 2020

Language: Английский

Citations

24