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Longitudinal multivariate tensor- and searchlight-based morphometry using permutation testing

Ridgway, G.R.; Whitcher, B.; Nichols, T.; Ourselin, S.; Hill, D.; Fox, N.; (2008) Longitudinal multivariate tensor- and searchlight-based morphometry using permutation testing. Presented at: 14th Annual Meeting of the Organization for Human Brain Mapping, Melbourne, Australia. Green open access

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Abstract

Tensor based morphometry [1] was used to detect statistically significant regions of neuroanatomical change over time in a comparison between 36 probable Alzheimer's Disease patients and 20 age- and sexmatched controls. Baseline and twelve-month repeat Magnetic Resonance images underwent tied spatial normalisation [10] and longitudinal high-dimensional warps were then estimated. Analyses involved univariate and multivariate data derived from the longitudinal deformation fields. The most prominent findings were expansion of the fluid spaces, and contraction of the hippocampus and temporal region. Multivariate measures were notably more powerful, and have the potential to identify patterns of morphometric difference that would be overlooked by conventional mass-univariate analysis.

Type: Poster
Title: Longitudinal multivariate tensor- and searchlight-based morphometry using permutation testing
Event: 14th Annual Meeting of the Organization for Human Brain Mapping
Location: Melbourne, Australia
Dates: June 15 - 19, 2008
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.humanbrainmapping.org/i4a/pages/index.c...
Language: English
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Metabolism and Experi Therapeutics
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/13847
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