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Updated: May 7, 2026

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
Published on: July 2, 2013
Personality differences among patients with chronic aphasia predict improvement in speech-language therapy
Kristen L Votruba1, Lisa J Rapport, R Douglas Whitman
1Department of Psychology, Wayne State University, Detroit, Michigan.
Background:
Negative affectivity and neurocognitive deficits including executive dysfunction have been shown to be detrimental to rehabilitation therapies. However, research on the relationship between neuropsychological deficits and improvement in speech-language therapy (SLT) for aphasia is sparse.
Objective:
To examine the relationships among neurocognitive and psychological functioning and improvement in SLT following aphasia due to stroke.
Methods:
Fifty patients who were ≥ 9 months post stroke and enrolled in outpatient SLT to treat aphasia participated. Using standard language assessment measures, the authors evaluated language functioning at initiation of the study and after participants completed various SLT protocols. Executive functioning, visuospatial skills, attention, and memory also were assessed to provide indices of convergent and discriminant validity. Participants' mood and affectivity were evaluated by self-report, and their functional abilities and recovery of function since stroke were assessed via caregiver report.
Results:
A multiple regression model testing the combined powers of neurocognitive and psychological variables was significant (P = .004, R2 = 0.33), with psychological and neurocognitive functioning accounting for 15% of the variance in relative language change beyond that accounted for by stroke severity and gross cognitive functioning. Negative affectivity expressed on the Positive and Negative Affectivity Scale made unique contributions to the model.
Conclusions:
Improvement in SLT is substantially related to neurocognitive and psychological functioning, particularly affectivity. Assessment of these characteristics may assist in identifying patients who are likely to improve and in tailoring treatment programs to yield optimal outcomes.
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