Christopher S Parker

Christopher S Parker
University of London · University College London (UCL)

Doctor of Philosophy

About

16
Publications
1,052
Reads
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155
Citations
Citations since 2016
15 Research Items
153 Citations
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050

Publications

Publications (16)
Preprint
Sequencing the regional progression of neurodegeneration in Alzheimer's disease (AD) informs disease mechanisms and facilitates identification and staging of individuals at greatest risk of imminent cognitive decline, which may aid the development of early therapeutic interventions. Previous attempts to sequence neurodegeneration have analysed meas...
Preprint
Estimating the temporal evolution of biomarker abnormalities in disease informs understanding of early disease processes and facilitates subject staging, which may augment the development of early therapeutic interventions and provide personalised treatment tools. Event-based modelling of disease progression (EBM) is a data-driven technique for inf...
Article
Full-text available
Upregulation of functional network connectivity in the presence of structural degeneration is seen in the premanifest stages of Huntington’s disease (preHD) 10-15 years from clinical diagnosis. However, whether widespread network connectivity changes are seen in gene-carriers much further from onset has yet to be explored. We characterised function...
Article
Introduction Crucial to the future success of treatments in Huntington’s disease is identifying a timepoint where there is a measurable biomarker of early neurodegeneration without detectable changes in clinical function. By performing deep phenotyping in premanifest gene carriers (preHD) further from predicted onset than previously studied, we aim...
Article
Neurite Orientation Dispersion and Density Imaging (NODDI) provides in‐vivo indices of neurite density (NDI) and orientation dispersion (ODI) within the tissue compartment of each voxel. However, NDI and ODI are treated equally when calculating region of interest (ROI) means, despite tissue fraction (TF) varying within regions undergoing neurodegen...
Article
Mapping axonal loss in young‐onset Alzheimer’s disease (YOAD) can provide a clearer picture of neurodegenerative processes. Axonal loss has been estimated using metrics derived from diffusion MRI (dMRI). However, these measures are also sensitive to myelin, thus cannot unambiguously disentangle axon loss and demyelination. Here, we address this wit...
Article
Full-text available
Neurite orientation dispersion and density imaging (NODDI) estimates microstructural properties of brain tissue relating to the organisation and processing capacity of neurites, which are essential elements for neuronal communication. Descriptive statistics of NODDI tissue metrics are commonly analysed in regions-of-interest (ROI) to identify brain...
Conference Paper
Full-text available
Microstructure imaging combines tailored diffusion MRI acquisition protocols with a mathematical model to give insights into subvoxel tissue features. The model is typically fit voxel-by-voxel to the MRI image with least squares minimisation to give voxelwise maps of parameters relating to microstructural features, such as diffusivities and tissue...
Conference Paper
Background Disease-modifying treatments are in development for Huntington’s disease (HD); crucial to their success in delaying or preventing onset is to identify a timepoint when there is a measurable biomarker of early neurodegeneration while clinical function is still intact. Aims We aimed to identify the earliest HD changes and the most promisi...
Chapter
MicrostructureMicrostructure imaging combines tailored diffusion MRI acquisition protocols with a mathematical model to give insights into subvoxel tissue features. The model is typically fit voxel-by-voxel to the MRI image with least squares minimisation to give voxelwise maps of parameters relating to microstructuralMicrostructure features, such...
Preprint
Full-text available
Neurite orientation dispersion and density imaging (NODDI) estimates microstructural properties of neurites relating to their organisation and processing capacity that are essential for effective neuronal communication. Descriptive statistics of NODDI tissue metrics are commonly analysed in regions-of-interest (ROI) to identify brain behaviour asso...
Article
Full-text available
Background Pathological processes in Huntington's disease (HD) begin many years prior to symptom onset. Recently we demonstrated that in a premanifest cohort approximately 24 years from predicted disease onset, despite intact function, there was evidence of subtle neurodegeneration. Here, we use novel imaging techniques to determine whether macro-...
Article
Full-text available
Background Disease-modifying treatments are in development for Huntington's disease; crucial to their success is to identify a timepoint in a patient's life when there is a measurable biomarker of early neurodegeneration while clinical function is still intact. We aimed to identify this timepoint in a novel cohort of young adult premanifest Hunting...
Data
Methods used to reconstruct effective and structural connectivity of cortical regions underlying intra-cranial electrodes. Effective network reconstruction involved epoching, artefact correction and identifying peaks in the cortico-cortical evoked potential. Structural network reconstruction involved electrode localization, registration to diffusio...
Article
Full-text available
Patients with medically-refractory focal epilepsy may be candidates for neurosurgery and some may require placement of intracranial EEG electrodes to localise seizure onset. Assessing cerebral responses to single pulse electrical stimulation (SPES) may give diagnostically useful data. SPES produces cortico-cortical evoked potentials (CCEPs), which...
Article
Full-text available
Structural brain networks may be reconstructed from diffusion MRI tractography data and have great potential to further our understanding of the topological organisation of brain structure in health and disease. Network reconstruction is complex and involves a series of processesing methods including anatomical parcellation, registration, fiber ori...

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