Abstract #2518

Piloting individualised probabilistic tractography to measure motor system integrity and rehabilitation potential in cerebral palsy

Bronwyn Gavine¹, Foteini Mavrommati², Matthew Weightmann¹, Rachel Buckingham³, Cherry Kilbride⁴, Martin Smith³, Tim Theologis^3,5, Dido Green^4,6, Ned Jenkinson⁷, Jennifer Ryan⁸, Liana Nagy⁴, Heidi Johansen-Berg¹, Helen Dawes^2,9, and Melanie K Fleming¹

¹Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University Of Oxford, Oxford, United Kingdom, ²Movement Science Group, Oxford Brookes University, Oxford, United Kingdom, ³Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom, ⁴Department of Health Sciences, Brunel University London, London, United Kingdom, ⁵Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, University Of Oxford, Oxford, United Kingdom, ⁶Department of Rehabilitation, Jönköping University, Jönköping, Sweden, ⁷School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom, ⁸Department of Epidemiology and Public Health Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland, ⁹National Institute for Health Research Exeter Biomedical Research Centre, University of Exeter, Exeter, United Kingdom

Synopsis

Keywords: Neuro, Diffusion Tensor Imaging, Cerebral palsy

Motivation: A biomarker of motor system function is needed to assist with treatment selection for children with cerebral palsy (CP).

Goal(s): We aimed to pilot an automated tractography tool in a clinical trial cohort of adolescents with CP, and determine if corticospinal tract (CST) integrity could be used as a biomarker for baseline function and treatment response.

Approach: A customised probabilistic tractography pipeline was used to quantify CST integrity. Hand function was assessed at baseline and after a motor training intervention.

Results: We demonstrated feasibility, and found that CST integrity was positively correlated with baseline hand function, and negatively correlated with improvement after training.

Impact: Automated individualised native-space tractography is feasible in a clinical population of adolescents with cerebral palsy. Tractography-derived corticospinal tract integrity predicts baseline hand function impairment and may be useful as a predictive biomarker for rehabilitation response.

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