title: Distinguishing the effect of lesion load from tract disconnection in the arcuate and uncinate fasciculi.
abstract: Brain imaging studies of functional outcomes after white matter damage have quantified the severity of white matter damage in different ways. Here we compared how the outcome of such studies depends on two different types of measurements: the proportion of the target tract that has been destroyed ('lesion load') and tract disconnection. We demonstrate that conclusions from analyses based on two examples of these measures diverge and that conclusions based solely on lesion load may be misleading. First, we reproduce a recent lesion-load-only analysis which suggests that damage to the arcuate fasciculus, and not to the uncinate fasciculus, is significantly associated with deficits in fluency and naming skills. Next, we repeat the analysis after replacing the measures of lesion load with measures of tract disconnection for both tracts, and observe significant associations between both tracts and both language skills: i.e. the change increases the apparent relevance of the uncinate fasciculus to fluency and naming skills. Finally we show that, in this dataset, disconnection data explains significant variance in both language skills that is not accounted for by lesion load or volume, but lesion load data explains no unique variance in those skills, once disconnection and lesion volume are taken into account.
authors.affiliation: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK. Electronic address: t.hope@ucl.ac.uk.
authors.forename: Thomas M H
authors.initials: TMH
authors.lastname: Hope
authors.affiliation: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
authors.forename: Mohamed L
authors.initials: ML
authors.lastname: Seghier
authors.affiliation: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
authors.forename: Susan
authors.initials: S
authors.lastname: Prejawa
authors.affiliation: Institute of Cognitive Neuroscience, University College London, London, UK; Department of Brain, Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
authors.forename: Alex P
authors.initials: AP
authors.lastname: Leff
authors.affiliation: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
authors.forename: Cathy J
authors.initials: CJ
authors.lastname: Price
mesh_terms: D001921:Brain / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008959:Models, Neurological; D009434:Neural Pathways / Q000473:pathology*; D020521:Stroke / Q000150:complications / Q000473:pathology*; D066127:White Matter / Q000473:pathology*
keywords: Language; MRI; Outcomes; Stroke; White matter