Greg Parker

2022

• Lissaman, R., Lancaster, T. M., Parker, G. D., Graham, K. S., Lawrence, A. D. and Hodgetts, C. 2022. Tract-specific differences in white matter microstructure between young adult APOE ε4 carriers and non-carriers: A replication and extension study. NeuroImage 2(4), article number: 100126. (10.1016/j.ynirp.2022.100126)
• Shastin, D. et al. 2022. Surface-based tracking for short association fibre tractography. NeuroImage 260, article number: 119423. (10.1016/j.neuroimage.2022.119423)
• Casella, C. et al. 2022. Mutation-related magnetization-transfer, not axon density, drives white matter differences in premanifest Huntington's disease: Evidence from in vivo ultra-strong gradient MRI. Human Brain Mapping 43(11), pp. 3439-3460. (10.1002/hbm.25859)

2021

• Casella, C. et al. 2021. Mutation-related apparent myelin, not axon density, drives white matter differences in premanifest Huntington's disease: evidence from in vivo ultra-strong gradient MRI. [Online]. bioRxiv. (10.1101/2021.11.29.469517) Available at: https://doi.org/10.1101/2021.11.29.469517
• Steventon, J. et al. 2021. Changes in white matter microstructure and MRI-derived cerebral blood flow after one-week of exercise training. Scientific Reports 11, article number: 22061. (10.1038/s41598-021-01630-7)
• Chamberland, M. et al. 2021. Detecting microstructural deviations in individuals with deep diffusion MRI tractometry. Nature Computational Science 1, pp. 598-606. (10.1038/s43588-021-00126-8)
• Guo, F., De Luca, A., Parker, G., Jones, D. K., Viergever, M. A., Leemans, A. and Tax, C. M. W. 2021. The effect of gradient nonlinearities on fiber orientation estimates from spherical deconvolution of diffusion MRI data. Human Brain Mapping 42(2), pp. 367-383. (10.1002/hbm.25228)
• Koller, K. et al. 2021. MICRA: Microstructural Image Compilation with Repeated Acquisitions. NeuroImage 225, article number: 117406. (10.1016/j.neuroimage.2020.117406)

2020

• Casella, C. et al. 2020. Drumming motor sequence training induces apparent myelin remodelling in Huntington’s disease: a longitudinal diffusion MRI and quantitative magnetization transfer study. Journal of Huntington's Disease 9(3), pp. 303-320. (10.3233/JHD-200424)
• Genc, S., Tax, C. M. W., Raven, E. P., Chamberland, M., Parker, G. D. and Jones, D. K. 2020. Impact of b-value on estimates of apparent fibre density. Human Brain Mapping 41(10), pp. 2583-2595. (10.1002/hbm.24964)
• Lipp, I. et al. 2020. Tractography in the presence of multiple sclerosis lesions. NeuroImage 209, article number: 116471. (10.1016/j.neuroimage.2019.116471)
• Postans, M. et al. 2020. Uncovering a role for the dorsal hippocampal commissure in recognition memory. Cerebral Cortex 30(3), pp. 1001-1015. (10.1093/cercor/bhz143)
• Rudrapatna, U., Parker, G. D., Roberts, J. and Jones, D. K. 2020. A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra-strong-gradient MRI scanner. Magnetic Resonance in Medicine 85(2), pp. 1104-1113. (10.1002/mrm.28464)
• Chamberland, M. et al. 2020. Tractometry-based anomaly detection for single-subject white matter analysis. Presented at: Medical Imaging with Deep Learning (MIDL 2020), Montréal, Canada, 6-9 July 2020.

2019

• Drakesmith, M., Harms, R., Umesh Rudrapatna, S., Parker, G. D., Evans, C. J. and Jones, D. K. 2019. Estimating axon conduction velocity in vivo from microstructural MRI. NeuroImage 203, article number: 116186. (10.1016/j.neuroimage.2019.116186)
• Chamberland, M. et al. 2019. Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain. NeuroImage 200, pp. 89-100. (10.1016/j.neuroimage.2019.06.020)
• Dillingham, C. M. et al. 2019. Mammillothalamic disconnection alters hippocampocortical oscillatory activity and microstructure: Implications for diencephalic amnesia. Journal of Neuroscience 39(34), pp. 6696-6713. (10.1523/JNEUROSCI.0827-19.2019)
• Valji, A. et al. 2019. Curious connections: white matter pathways supporting individual differences in epistemic and perceptual curiosity. [Online]. bioRxiv. (10.1101/642165) Available at: https://doi.org/10.1101/642165
• Ning, L. et al. 2019. Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): Progress and results. Presented at: MICCAI 2018, Granada, Spain, 16-20 September 2018 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI, Vol. 1. Mathematics and Visualization Cham: Springer pp. 217-224., (10.1007/978-3-030-05831-9_18)
• Drakesmith, M. et al. 2019. Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures. Translational Psychiatry 9(1), article number: 102. (10.1038/s41398-019-0440-7)

2018

• Messaritaki, E., Umesh, R. S., Parker, G., Gray, W. and Jones, D. 2018. Improving the predictions of computational models of convection-enhanced drug delivery by accounting for diffusion non-Gaussianity. Frontiers in Neurology 9, article number: 1092. (10.3389/fneur.2018.01092)
• Foley, S. F., Bracher-Smith, M., Tansey, K. E., Harrison, J., Parker, G. D. and Caseras, X. 2018. Fractional anisotropy of the uncinate fasciculus and cingulum in bipolar disorder type I, type II, their unaffected siblings and healthy controls. British Journal of Psychiatry 213(3), pp. 548-554. (10.1192/bjp.2018.101)

2017

• Foley, S. F. et al. 2017. Multimodal brain imaging reveals structural differences in Alzheimer's disease polygenic risk carriers: A study in healthy young adults. Biological Psychiatry 81(2), pp. 154-161. (10.1016/j.biopsych.2016.02.033)
• Dimitriadis, S., Drakesmith, M., Parker, G., Bells, S., Linden, D. and Jones, D. 2017. Improving the reliability of network metrics in structural brain networks by integrating different network weighting strategies into a single graph. Frontiers in Neuroscience 11, article number: 694. (10.3389/fnins.2017.00694)

2016

• Christiansen, K., Metzler-Baddeley, C., Parker, G., Muhlert, N., Jones, D. K., Aggleton, J. P. and Vann, S. D. 2016. Topographic separation of fornical fibers associated with the anterior and posterior hippocampus in the human brain: an MRI-diffusion study. Brain and Behavior 7(1) (10.1002/brb3.604)
• Christiansen, K., Aggleton, J. P., Parker, G. D., O'Sullivan, M. J., Vann, S. D. and Metzler-Baddeley, C. 2016. The status of the precommissural and postcommissural fornix in normal ageing and mild cognitive impairment: An MRI tractography study. NeuroImage 130, pp. 35-47. (10.1016/j.neuroimage.2015.12.055)

2014

• Parker, G. 2014. Robust processing of diffusion weighted image data. PhD Thesis, Cardiff University.

2013

• Parker, G., Marshall, A. D., Rosin, P. L., Drage, N., Richmond, S. and Jones, D. K. 2013. A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data. NeuroImage 65, pp. 433-448. (10.1016/j.neuroimage.2012.10.022)

2012

• Richmond, S. et al. 2012. Detailing patient specific modeling to aid clinical decision-making. Lecture Notes in Computational Vision and Biomechanics 5, pp. 105-131. (10.1007/978-94-007-4552-0_5)