Cited by 219Stroke Rehabilitation and RecoveryNeurobiology of Language and BilingualismAcute Ischemic Stroke Management

Behavioural clusters and predictors of performance during recovery from stroke

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Ramsey, L. E., Siegel, J. S., Lang, C. E., Strube, M., Shulman, G. L., Corbetta, M.·2017·Nature Human Behaviour

Abstract

We examined the patterns and variability of recovery post-stroke in multiple behavioral domains. A large cohort of first time stroke patients with heterogeneous lesions was studied prospectively and longitudinally at 1-2 weeks, 3 months and one year post-injury with structural MRI to measure lesion anatomy and in-depth neuropsychological assessment. Impairment was described at all timepoints by a few clusters of correlated deficits. The time course and magnitude of recovery was similar across domains, with change scores largely proportional to the initial deficit and most recovery occurring within the first three months. Damage to specific white matter tracts produced poorer recovery over several domains: attention and superior longitudinal fasciculus II/III, language and posterior arcuate fasciculus, motor and corticospinal tract. Finally, after accounting for the severity of the initial deficit, language and visual memory recovery/outcome was worse with lower education, while the occurrence of multiple deficits negatively impacted attention recovery.

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  • Education influences inter-individual variability in treated language improvement in post-stroke aphasia.

    “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 [18]

    The Results section (page not provided) reports that education predicted chronic language scores, and the Discussion reports an effect of education on language recovery. The paper does not establish that education influences improvement attributable to aphasia treatment; it says therapy hours had no observed effect in its analysis. (LLM, conf=0.88)

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Research works printed but not linked: 1

  1. [9]Carter AR Resting state inter-hemispheric fMRI connectivity predicts performance after stroke Annals of neurology NA NA 2009 10.1002/ana.21905 PMC2927671 20373348 · DOI

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Authors
Ramsey, L. E., Siegel, J. S., Lang, C. E., Strube, M., Shulman, G. L., & Corbetta, M.
Affiliations
  • Washington University in St. Louis (US)
  • University of Padua (IT)
Corresponding author
Ramsey, L. E.
Venue
Nature Human Behaviour
Published
2017-02-17
Volume
1
Issue
3
ISSN
2397-3374 (ISSN-L)
OpenAlex
W2588745466
Cited by
219
References
68
Citations by year
2026: 18 · 2025: 24 · 2024: 26 · 2023: 22 · 2022: 34 · 2021: 29 · 2020: 16 · 2019: 25 · 2018: 18 · 2017: 7
FWCI
17.22
Type
journal article
Language
en
Open access
Locations
  • Nature Human Behaviour (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion, other-oa)
Funders
  • National Institute of Neurological Disorders and Stroke (R01NS095741)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD061117)
Topics
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
  • Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
Keywords
stroke recovery, behavioural deficits, white matter tracts, attention recovery, language recovery, motor recovery, educational attainment, superior longitudinal fasciculus, corticospinal tract, recovery time course

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