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GeoSPM: Geostatistical parametric mapping for medicine

Engleitner, Holger; Jha, Ashwani; Pinilla, Marta Suarez; Nelson, Amy; Herron, Daniel; Rees, Geraint; Friston, Karl; ... Nachev, Parashkev; + view all (2022) GeoSPM: Geostatistical parametric mapping for medicine. Patterns , 3 (12) , Article 100656. 10.1016/j.patter.2022.100656. Green open access

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Abstract

The characteristics and determinants of health and disease are often organized in space, reflecting our spatially extended nature. Understanding the influence of such factors requires models capable of capturing spatial relations. Drawing on statistical parametric mapping, a framework for topological inference well established in the realm of neuroimaging, we propose and validate an approach to the spatial analysis of diverse clinical data—GeoSPM—based on differential geometry and random field theory. We evaluate GeoSPM across an extensive array of synthetic simulations encompassing diverse spatial relationships, sampling, and corruption by noise, and demonstrate its application on large-scale data from UK Biobank. GeoSPM is readily interpretable, can be implemented with ease by non-specialists, enables flexible modeling of complex spatial relations, exhibits robustness to noise and under-sampling, offers principled criteria of statistical significance, and is through computational efficiency readily scalable to large datasets. We provide a complete, open-source software implementation.

Type: Article
Title: GeoSPM: Geostatistical parametric mapping for medicine
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.patter.2022.100656
Publisher version: https://doi.org/10.1016/j.patter.2022.100656
Language: English
Additional information: © 2022 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: geostatistics, spatial analysis, statistical parametric mapping, kriging, epidemiology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
URI: https://discovery.ucl.ac.uk/id/eprint/10162127
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