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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
“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
The application of errorless learning to aphasic disorders: A review of theory and practice
Fillingham, J., Hodgson, C., Sage, K., & Ralph, M. L. (2003) · Neuropsychological Rehabilitation · doi:10.1080/09602010343000020 · Cited by 152
The role of working memory capacity and general control processes in intelligence
Embretson, S. E. (1995) · Intelligence · doi:10.1016/0160-2896(95)90031-4 · Cited by 110
A Cognitive Neuropsychological Approach to Assessment and Intervention in Aphasia
Whitworth, A., Webster, J., & Howard, D. (2005) · Psychology Press eBooks · doi:10.4324/9780203493502 · Cited by 90
Memory Impairment and Executive Control in Individuals with Stroke-Induced Aphasia
Beeson, P. M., Bayles, K. A., Rubens, A. B., & Kaszniak, A. W. (1993) · Brain and Language · doi:10.1006/brln.1993.1045 · Cited by 76
The relationship of brain-tissue loss volume and lesion location to cognitive deficit
Grafman, J. H., Salazar, A. Μ., Weingartner, H., VANCE, S. C., & Amin, D. (1986) · Journal of Neuroscience · doi:10.1523/jneurosci.06-02-00301.1986 · Cited by 71
Francis, D. R., Clark, N., & Humphreys, G. W. (2003) · Aphasiology · doi:10.1080/02687030344000201 · Cited by 66
Burgio, F., & Basso, A. (1997) · Neuropsychologia · doi:10.1016/s0028-3932(97)00014-6 · Cited by 56
Predictors of Language Restitution Following Stroke
Holland, A. L., Greenhouse, J. B., Fromm, D., & Swindell, C. S. (1989) · Journal of Speech Language and Hearing Research · doi:10.1044/jshr.3202.232 · Cited by 55
Clinical Forum Learning in aphasia therapy: It's not so much what you do, but how you do it!
FERGUSON, A. (1999) · Aphasiology · doi:10.1080/026870399402244 · Cited by 34
Majerus, S., van der Kaa, M.-A., Renard, C., der Linden, M. V., & Poncelet, M. (2005) · Brain and Language · doi:10.1016/j.bandl.2005.07.094 · Cited by 32
Bailey, S., Powell, G. E., & Clark, E. K. (1981) · International Journal of Language & Communication Disorders · doi:10.3109/13682828109011400 · Cited by 20
Wertz, R. T. (2004) · Annals of Neurology · doi:10.1002/ana.20022 · Cited by 10
Cited by
Sorted by citations
Factors predicting post-stroke aphasia recovery
Watila, M. M., & Balarabe, S. (2015) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2015.03.020 · Cited by 292
“Studies by Pedersen et al. (1995); Lendrem & Lincoln (1985); Inatomi et al. (2008); Seniów et al. (2009); and Godefroy et al. (2002) reported no gender difference in aphasia recovery, and that gender differences in aphasia type did not appear to influence aphasia recovery.”
InfluentialCurrent Approaches to the Treatment of Post-Stroke Aphasia
Fridriksson, J., & Hillis, A. E. (2021) · Journal of Stroke · doi:10.5853/jos.2020.05015 · Cited by 172
Characteristics of Cognitive Impairment in Patients With Post-stroke Aphasia
Lee, B., & Pyun, S. (2014) · Annals of Rehabilitation Medicine · doi:10.5535/arm.2014.38.6.759 · Cited by 84
“In a previous study regarding nonlinguistic cognitive deficits in the recovery of aphasia, improvement of two language functions, naming and comprehension, was associated with visuo-spatial working memory [9].”
BackgroundResultInfluentialNonlinguistic Cognitive Factors Predict Treatment-Induced Recovery in Chronic Poststroke Aphasia
Gilmore, N. M., Meier, E. L., Johnson, J. P., & Kiran, S. (2019) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2018.12.024 · Cited by 83
Dignam, J., Copland, D., O'Brien, K., Burfein, P., Khan, A., & Rodriguez, A. D. (2017) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2016_jslhr-l-15-0384 · Cited by 71
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
