Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.677028
Title: Identification of anatomical predictors of language recovery after stroke with diffusion tensor imaging
Author: Forkel, Stephanie Jacqueline
ISNI:       0000 0004 5368 1882
Awarding Body: King's College London
Current Institution: King's College London (University of London)
Date of Award: 2014
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Abstract:
Background: Stroke-induced aphasia is associated with adverse effects on quality of life and the ability to return to work. However, the predictors of recovery are still poorly understood. Anatomical variability of the arcuate fasciculus, connecting Broca’s and Wernicke’s areas, has been reported in the healthy population using diffusion tensor imaging tractography. In about 40% of the population the arcuate fasciculus is bilateral and this pattern is advantageous for certain language related functions, such as auditory verbal learning (Catani et al. 2007). Methods: In this prospective longitudinal study, anatomical predictors of post-stroke aphasia recovery were investigated using diffusion tractography and arterial spin labelling. Patients An 18-subject strong aphasia cohort with first-ever unilateral left hemispheric middle cerebral artery infarcts underwent post stroke language (mean 5±5 days) and neuroimaging (mean 10±6 days) assessments and neuropsychological follow-up at six months. Ten of these patients were available for reassessment one year after symptom onset. Aphasia was assessed with the Western Aphasia Battery, which provides a global measure of severity (Aphasia Quotient, AQ). Results: Better recover from aphasia was observed in patients with a right arcuate fasciculus [beta = .730, t(2.732), p = .020] (tractography) and increased fractional anisotropy in the right hemisphere (p < 0.05) (Tract-based spatial statistics). Further, an increase in left hemisphere perfusion was observed after one year (p < 0.01) (perfusion). Lesion analysis identified maximal overlay in the periinsular white matter (WM). Lesion-symptom mapping identified damage to periinsular structure as predictive for overall aphasia severity and damage to frontal lobe white matter as predictive of repetition deficits. Conclusion: These findings suggest an important role for the right hemisphere language network in recovery from aphasia after left hemispheric stroke.
Supervisor: Williams, Steven Charles Rees ; Murphy, Declan G. ; Catani, Marco ; Kalra, Lalit Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.677028  DOI: Not available
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