Dr Sam Harrison

DPhil, MEng

Research Fellow

New Zealand Brain Research Institute, Christchurch

Research Fellow

Department of Medicine, University of Otago, Christchurch

Current Research

 

I am working with Dr Campbelll Le Heron on a CMRF funded project looking at the brain mechanisms that underlie pathological loss of motivation in people with Parkinson’s disease (PD). The aim is to quantify the prevalence and progression of apathy in PD, taking advantage of the longitudinally-studied cohort at NZBRI, and to use the brain imaging data to determine the earliest neural changes that predict the development of apathy. 

 

Background

 

I undertook my DPhil at Oxford Centre for Functional MRI of the Brain (FMRIB), looking at methods for inferring subject variability in brain networks from resting-state functional MRI data. This was with Steve Smith and Mark Woolrich, and in a subsequent postdoc — working alongside Janine Bijsterbosch — we looked at how best to interpret observed differences in brain networks between subjects.

 

I was then based in Switzerland for two years, where I completed a fellowship at the Translational Neuromodeling Unit with Klaas Enno Stephan and Ender Konukoglu. There, my research was based on advanced Bayesian inference techniques for complex models of connectivity between brain regions, as well as looking at the impact of physiological noise on fMRI data.

 

External Affiliations

 

FMRIB, Wellcome Centre for Integrative Neuroimaging, UK

Translational Neuromodeling Unit, ETH Zurich, Switzerland

 

My past publications can be viewed at https://orcid.org/0000-0002-5886-2389

Publications

Provided on request for non-commercial personal use by researchers.

2021

Harrison, S. J., Bianchi, S., Heinzle, J., Stephan, K. E., Iglesias, S., Kasper, L. (2021). A Hilbert-based method for processing respiratory timeseries. NeuroImage, 117787. 10.1016/j.neuroimage.2021.117787
Download Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning.
Iglesias, S., Kasper, L., Harrison, S. J., Manka, R., Mathys, C., Stephan, K. E. (2021). Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning. NeuroImage, 226, 117590. 10.1016/j.neuroimage.2020.117590

2020

Download Challenges and future directions for representations of functional brain organization.
Bijsterbosch, J., Harrison, S. J., Jbabdi, S., Woolrich, M., Beckmann, C., Smith, S., Duff, E. P. (2020). Challenges and future directions for representations of functional brain organization. Nature Neuroscience, 23, 1484-1495. 10.1038/s41593-020-00726-z
Download The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
Fitzgibbon, S. P., Harrison, S. J., Jenkinson, M., Baxter, L., Robinson, E. C., Bastiani, M., ... , Andersson, J. (2020). The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage, 223, 117303. 10.1016/j.neuroimage.2020.117303
Download Modelling subject variability in the spatial and temporal characteristics of functional modes.
Harrison, S. J., Bijsterbosch, J. D., Segerdahl, A. R., Fitzgibbon, S. P., Farahibozorg, S. R., Duff, E. P., ..., Woolrich, M. W. (2020). Modelling subject variability in the spatial and temporal characteristics of functional modes. NeuroImage, 222, 117226. 10.1016/j.neuroimage.2020.117226