The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
The relationship between non-linguistic cognitive deficits and language recovery in patients with aphasia
Abstract
Background and purpose Non-linguistic cognitive impairments may limit rehabilitation efficacy in patients with aphasia. The aim of this study was to determine whether post-stroke aphasia was associated with impairments of visuo-spatial working memory and abstract thinking and whether these deficits adversely affected language recovery.Methods Baseline visuo-spatial memory and abstract thinking abilities were assessed in 78 patients with post-stroke aphasia and 38 healthy controls. Then, 47 of the 78 patients with aphasia completed three weeks of speech and language training. Therapy outcome was assessed by comparing pre- and post-treatment scores on the Boston Diagnostic Aphasia Examination.Results Even though the patients' non-linguistic cognitive abilities were impaired in general, the patients were heterogeneous with regard to their deficits. Linguistic and non-linguistic deficits appeared to be distinct, although they could be concurrent. Visuo-spatial working memory was associated with the degree of improvement in two functions crucial to language communication: naming and comprehension. No relationship was found between language therapy outcome and abstract thinking ability.
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“It is well established that inter-individual variability in TLI in post-stroke aphasia is influenced by an array of factors, including, but not limited to, age12–15, education16–19, aphasia severity11,14,15,20,21, baseline cognitive abilities13,22,23, and, specific to bPWA, bilingual language experience and language of treatment (e.g., whether therapy is delivered in L1 or L2)24,25.”
From Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence (2025) · cites this paper as [13]
In the citing paper
“It is well established that inter-individual variability in TLI in post-stroke aphasia is influenced by an array of factors, including, but not limited to, age12–15, education16–19, aphasia severity11,14,15,20,21, baseline cognitive abilities13,22,23, and, specific to bPWA, bilingual language experience and language of treatment (e.g., whether therapy is delivered in L1 or L2)24,25.”
From Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence (2025) · cites this paper as [13]
In the citing paper
“This finding resonates with previous studies demonstrating the impact of cognitive factors, such as attention, memory, and executive function, on treatment-induced language recovery in monolingual aphasia13,22,23.”
From Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence (2025) · cites this paper as [13]
In the citing paper
“The influence of cognitive factors on treatment outcomes has been found in monolingual aphasia studies13,22,23, with stronger skills conferring better outcomes.”
From Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence (2025) · cites this paper as [13]
Citations
Cites
Working memory: Looking back and looking forward
Baddeley, A. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1201 · Cited by 5,200
(1998) · Cited by 4,172
The assessment of aphasia and related disorders
Goodglass, H., & Kaplan, E. (1972) · Medical Entomology and Zoology · Cited by 3,258
Assessment of Aphasia and Related Disorders
Sarno, M. T. (1973) · Physical Therapy · doi:10.1093/ptj/53.2.225b · Cited by 2,256
Aphasia after Stroke: Type, Severity and Prognosis
Pedersen, P. M., Vinter, K., & Olsen, T. S. (2003) · Cerebrovascular Diseases · doi:10.1159/000073896 · Cited by 627
Aphasia, Depression, and Non-Verbal Cognitive Impairment in Ischaemic Stroke
Kauhanen, M.-L., Korpelainen, J. T., Hiltunen, P., Määttä, R., Mononen, H., Brusin, E., Sotaniemi, K. A., & Myllylä, V. V. (2000) · Cerebrovascular Diseases · doi:10.1159/000016107 · Cited by 452
Jacobs, B., Schall, M., & Scheibel, A. B. (1993) · The Journal of Comparative Neurology · doi:10.1002/cne.903270108 · Cited by 307
The treatment of anomia using errorless learning
Fillingham, J. K., Sage, K., & Ralph, M. A. L. (2006) · Neuropsychological Rehabilitation · doi:10.1080/09602010443000254 · Cited by 251
Cognition and aphasia: a discussion and a study
Helm‐Estabrooks, N. (2002) · Journal of Communication Disorders · doi:10.1016/s0021-9924(02)00063-1 · Cited by 249
Basso, A. (2003) · doi:10.1093/oso/9780195135879.001.0001 · Cited by 173
Cited by
Sorted by citations
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Gindri, G. (2013) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Recovery from aphasia and intelligence
Iiboshi, K. (2014) · Higher Brain Function Research · doi:10.2496/hbfr.34.315
Kojima, M., Okahashi, S., Luo, Z., Nagano, A., Sakai, H., & Seki, K. (2016) · Higher Brain Function Research · doi:10.2496/hbfr.36.296
The Link Between Verbal Short-Term Memory and Anomia Treatment Gains
Zimmerman, R. M., Silkes, J. P., Kendall, D. L., & Minkina, I. (2019) · American Journal of Speech-Language Pathology · doi:10.1044/2019_ajslp-18-0176
Factors Influencing Aphasia Outcome in Patients with Occlusive Stroke
ESAM M. ELSHAZLY, M. S. ;. O. A. R., ALMALT, M. D. D. M. M. A. M., & ELSHAMY, M. D. E. S. M. A. M. (2019) · The Medical Journal of Cairo University/The Medical Journal of Cairo University · doi:10.21608/mjcu.2019.70351
Yu, Z. Y. (2022) · International Journal of Applied Research on Public Health Management · doi:10.4018/ijarphm.315610
Revisiting neuroplasticity mechanisms in aphasia recovery: Commentary on Billot and Kiran
Meier, E. L., & Johnson, J. P. (2024) · Brain and Language · doi:10.1016/j.bandl.2024.105480
Pisoni, A., Arrigoni, E., & Papagno, C. (2025) · Springer eBooks · doi:10.1007/978-3-662-70454-7_14
Afazili Bireylerde Bilişsel Beceriler: Dil, Depresyon ve Yaşam Alışkanlıklarının Rolü
Oğuz, Ö., & Toğram, B. (2025) · Dil Konuşma ve Yutma Araştırmaları Dergisi · doi:10.58563/dkyad-2025.83.3
Troubles neurocognitifs vasculaires et post-AVC
Vallat‐Azouvi, C., & Azouvi, P. (2017) · De Boeck Supérieur eBooks · doi:10.3917/dbu.rouss.2017.01.0167
Lakshmipriya, S. M., & Nagaraj, H. (2026) · Journal of Health and Allied Sciences NU · doi:10.25259/jhasnu_199_2025
Badawy, M. (2026) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-026-01174-5
“In accordance with previous studies conducted [9, 18, 21, 24], the present work showed that there is no difference between males and females regarding initial aphasia scores or rate of recovery.”
Zakariás, L., Vásári, V., & Lukács, Á. (2026) · Cortex · doi:10.1016/j.cortex.2026.06.006
The Effect of Age on Post‐Stroke Language Outcomes
Roberts, S. M., Bruce, R. M., Hope, T. M. H., Anderson, S., Woodgate, H., Ledingham, K., Leff, A. P., Green, D. W., & Price, C. J. (2026) · Journal of Aging Research · doi:10.1155/jare/7040010 · Cited by 1
Sun, Z., Ye, L., Shan, Y., Cao, L., Cui, B., Wang, J., Zhang, D., Cheng, Y., Zhang, T., Zhao, Y., et al. (2026) · Journal of Speech Language and Hearing Research · doi:10.1044/2026_jslhr-25-00186
Associations Between Language and Cognition After Stroke: Longitudinal Observational Study
Sihvonen, A. J., Hanhela, S., Leo, V., Salakka, I., Pitkäniemi, A., & Särkämö, T. (2026) · Acta Neurologica Scandinavica · doi:10.1155/ane/3164442
Blackett, D. S., Diedrichs, V. A., Durfee, A. Z., Jewell, C. C., & Harnish, S. M. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2026.1913940
“…al., 2017; Fillingham et al., 2006; Gilmore et al., 2019; Goldenberg et al., 1994; Kendall et al., 2014; Lambon Ralph et al., 2010; Nicholas et al., 2011; Rose et al., 2013; Sandberg et al., 2021; Seniow et al., 2009; Simic et al., 2020; van de Sandt-Koenderman et al., 2007; Votruba et al., 2013).”
Maki, Y., Morita, A., & Makizako, H. (2026) · リハビリテーション医学 : 日本リハビリテーション医学会誌 · doi:10.2490/jjrmc.25039
Nonverbal Working Memory as a Predictor of Anomia Treatment Success: Preliminary Data
Harnish, S. M., & Lundine, J. P. (2014) · The Aphasiology Archive (University of Pittsburgh)
Metadata
- Authors
- Seniów, J., Litwin, M., & Leśniak, M.
- Affiliations
- Institute of Psychiatry and Neurology (PL)
- Corresponding author
- Seniów, Joanna
- Venue
- Journal of the Neurological Sciences
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 283
- Issue
- 1-2
- Pages
- 91-94
- ISSN
- 0022-510X (ISSN-L)
- OpenAlex
- W2046976383
- Cited by
- 124
- References
- 22
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 6 · 2023: 10 · 2022: 11 · 2021: 4 · 2020: 5 · 2019: 9 · 2018: 8 · 2017: 11 · 2016: 11 · 2015: 8 · 2014: 9 · 2013: 5 · 2012: 2
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Neurological Sciences (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- post-stroke aphasia, visuospatial working memory, abstract thinking, language recovery, aphasia rehabilitation, speech therapy, naming, language comprehension, cognitive heterogeneity
- MeSH terms
- Aphasia, Cognition Disorders, Female, Humans, Language Tests, Language Therapy, Male, Memory Disorders, Memory, Short-Term, Middle Aged, Neuropsychological Tests, Speech Therapy, Thinking, Treatment Outcome, Stroke
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