Iron accumulation in the basal ganglia in Huntington's disease: Cross-sectional data from the IMAGE-HD study

Journal article

Dominguez, Juan F., Ng, Amanda C. L., Poudel, Govinda, Stout, Julie C., Churchyard, A., Chua, Phyllis, Egan, Gary F. and Georgiou-Karistianis, Nellie. (2016). Iron accumulation in the basal ganglia in Huntington's disease: Cross-sectional data from the IMAGE-HD study. Journal of Neurology, Neurosurgery and Psychiatry. 87(5), pp. 545 - 549. https://doi.org/10.1136/jnnp-2014-310183
AuthorsDominguez, Juan F., Ng, Amanda C. L., Poudel, Govinda, Stout, Julie C., Churchyard, A., Chua, Phyllis, Egan, Gary F. and Georgiou-Karistianis, Nellie
Abstract

Objectives
To measure iron accumulation in the basal ganglia in Huntington's disease (HD) using quantitative susceptibility mapping (QSM), and to ascertain its relevance in terms of clinical and disease severity.
Methods
In this cross-sectional investigation, Embedded Image weighted imaging was undertaken on 31 premanifest HD, 32 symptomatic HD and 30 control participants as part of the observational IMAGE-HD study. Group differences in iron accumulation were ascertained with QSM. Associations between susceptibility values and disease severity were also investigated.
Results
Compared with controls, both premanifest and symptomatic HD groups showed significantly greater iron content in pallidum, putamen and caudate. Additionally, iron accumulation in both putamen and caudate was significantly associated with disease severity.
Conclusions
These findings provide the first evidence that QSM is sensitive to iron deposition in subcortical target areas across premanifest and symptomatic stages of HD. Such findings could open up new avenues for biomarker development and therapeutic intervention.

Year2016
JournalJournal of Neurology, Neurosurgery and Psychiatry
Journal citation87 (5), pp. 545 - 549
PublisherBMJ
ISSN0022-3050
Digital Object Identifier (DOI)https://doi.org/10.1136/jnnp-2014-310183
Scopus EID2-s2.0-84930532225
Page range545 - 549
Research GroupMary MacKillop Institute for Health Research
Publisher's version
File Access Level
Controlled
Place of publicationUnited Kingdom
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Poudel, Govinda R., Stout, Julie C., Dominguez, Juan F., Churchyard, Andrew, Chua, Phyllis, Egan, Gary F. and Georgiou-Karistianis, Nellie. (2015). Longitudinal change in white matter microstructure in Huntington's disease: The IMAGE-HD study. Neurobiology of Disease. 74(1), pp. 406 - 412. https://doi.org/10.1016/j.nbd.2014.12.009
Comparison of beamformers for EEG source signal reconstruction
Jonmohamadi, Yaqub, Poudel, Govinda, Innes, Carrie, Weiss, Daniel, Krueger, Rejko and Jones, Richard. (2014). Comparison of beamformers for EEG source signal reconstruction. Biomedical Signal Processing and Control. 14(1), pp. 175 - 188. https://doi.org/10.1016/j.bspc.2014.07.014
Source-space ICA for EEG source separation, localization, and time-course reconstruction
Jonmohamadi, Yaqub, Poudel, Govinda, Innes, Carrie and Jones, Richard. (2014). Source-space ICA for EEG source separation, localization, and time-course reconstruction. NeuroImage. 101(November), pp. 720 - 737. https://doi.org/10.1016/j.neuroimage.2014.07.052
The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: Applications in neuroscience and neuroinformatics research
Goscinski, Wojtek J., McIntosh, Paul, Felzmann, Ulrich, Maksimenko, Anton, Hall, Christopher J., Gureyev, Timur, Thompson, Darren, Janke, Andrew, Galloway, Graham, Killeen, Neil E. B., Raniga, Parnesh, Kaluza, Owen, Ng, Amanda, Poudel, Govinda, Barnes, David G., Nguyen, Toan, Bonnington, Paul and Egan, Gary F.. (2014). The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: Applications in neuroscience and neuroinformatics research. Frontiers in Neuroinformatics. 8(March), pp. 1 - 13. https://doi.org/10.3389/fninf.2014.00030
Functional magnetic resonance imaging of working memory in Huntington's disease: Cross-sectional data from the IMAGE-HD study
Georgiou-Karistianis, Nellie, Stout, Julie C., Domínguez, Juan F., Carron, Sarah P., Ando, Ayaka, Churchyard, Andrew, Chua, Phyllis, Bohanna, India, Dymowski, Alicia R., Poudel, Govinda and Egan, Gary F.. (2014). Functional magnetic resonance imaging of working memory in Huntington's disease: Cross-sectional data from the IMAGE-HD study. Human Brain Mapping. 35(5), pp. 1847 - 1864. https://doi.org/10.1002/hbm.22296
Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG
Jonmohamadi, Yaqub, Poudel, Govinda, Innes, Carrie and Jones, Richard. (2014). Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG. Australasian Physical and Engineering Sciences in Medicine. 37(2), pp. 457 - 464. https://doi.org/10.1007/s13246-014-0265-x
Multi-modal neuroimaging in premanifest and early Huntington's disease : 18 month longitudinal data from the IMAGE-HD study
Domínguez D, Juan F., Egan, Gary F., Gray, Marcus A., Poudel, Govinda R., Churchyard, Andrew, Chua, Phyllis, Stout, Julie C. and Georgiou-Karistianis, Nellie. (2013). Multi-modal neuroimaging in premanifest and early Huntington's disease : 18 month longitudinal data from the IMAGE-HD study. PLoS ONE. 8(9), pp. 1-10. https://doi.org/10.1371/journal.pone.0074131
Functional and connectivity changes during working memory in Huntington's disease : 18 month longitudinal data from the IMAGE-HD study
Georgiou-Karistianis, Nellie, Poudel, Govinda R., Domínguez D, Juan F., Langmaid, Rebecca, Gray, Marcus A., Churchyard, Andrew, Chua, Phyllis, Borowsky, Beth, Egan, Gary F. and Stout, Julie C.. (2013). Functional and connectivity changes during working memory in Huntington's disease : 18 month longitudinal data from the IMAGE-HD study. Brain and Cognition. 83(1), pp. 80-91. https://doi.org/10.1016/j.bandc.2013.07.004
Efficient and regular patterns of nighttime sleep are related to increased vulnerability to microsleeps following a single night of sleep restriction
Innes, Carrie R. H., Poudel, Govinda R. and Jones, Richard D.. (2013). Efficient and regular patterns of nighttime sleep are related to increased vulnerability to microsleeps following a single night of sleep restriction. Chronobiology International. 30(9), pp. 1187-1196. https://doi.org/10.3109/07420528.2013.810222
Distinct neural correlates of time-on-task and transient errors during a visuomotor tracking task after sleep restriction
Poudel, Govinda R., Innes, Carrie R. H. and Jones, Richard D.. (2013). Distinct neural correlates of time-on-task and transient errors during a visuomotor tracking task after sleep restriction. NeuroImage. 77, pp. 105-113. https://doi.org/10.1016/j.neuroimage.2013.03.054
Time-Varying Functional Connectivity for Understanding the Neural Basis of Behavioral Microsleeps
J Toppi, L Astolfi, GR Poudel, F Babiloni, L Macchiusi, D Mattia, S Salinari and RD Jones. (2012). Time-Varying Functional Connectivity for Understanding the Neural Basis of Behavioral Microsleeps. 34th Annual International Conference of the IEEE EMBS. IEEE, Institute of Electrical and Electronics Engineers. pp. 4708-4711 https://doi.org/10.1109/EMBC.2012.6347018
Performance of Beamformers on EEG Source Reconstruction
Yaqub Jon Mohamadi, Govinda Poudel, Carrie R H Innes and Richard Jones. (2012). Performance of Beamformers on EEG Source Reconstruction. 34th Annual International Conference of the IEEE EMBS. IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2012.6346476
Cerebral perfusion differences between drowsy and nondrowsy individuals after acute sleep restriction
Poudel, Govinda R., Innes, Carrie R. H. and Jones, Richard D.. (2012). Cerebral perfusion differences between drowsy and nondrowsy individuals after acute sleep restriction. Sleep. 35(8), pp. 1085-1096. https://doi.org/10.5665/sleep.1994