English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Identification of anatomical predictors of language recovery after stroke with diffusion tensor imaging

Forkel, S. J. (2014). Identification of anatomical predictors of language recovery after stroke with diffusion tensor imaging. PhD Thesis, King's College London, London.

Item is

Files

show Files
hide Files
:
Forkel_thesis_2013_identification of anatomical predictors.pdf (Publisher version), 72MB
Name:
Forkel_thesis_2013_identification of anatomical predictors.pdf
Description:
-
OA-Status:
Gold
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show
hide
Locator:
Link to repository (Supplementary material)
Description:
-
OA-Status:
Not specified

Creators

show
hide
 Creators:
Forkel, Stephanie J.1, Author           
Affiliations:
1King's College London, ou_persistent22              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 20142014
 Publication Status: Issued
 Pages: -
 Publishing info: London : King's College London
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: PhD

Event

show

Legal Case

show

Project information

show

Source

show