4. Morphometricity is Biased by Image Smoothness
Nicolas Salvy
Presenter
University of Oxford
Nuffield Department of Population Health
Oxford
United Kingdom
Tuesday, Jun 25: 12:00 PM - 1:15 PM
3469
Oral Sessions
COEX
Room: ASEM Ballroom 202
Morphometricity is the proportion of phenotypic variation that can be explained by macroscopic brain morphology. It is estimated in a manner similar to heritability, with intersubject similarity of brain images replacing genetic relatedness [4]. It provides a simple approach to summarize the link between a phenotype and high-dimensional brain data with a single value. However, recent results have found unexpectedly large morphometricity values, e.g. brain structure explaining over 90% variation in BMI [2]. In this work we explore the role of smoothness in morphometricity in theory, simulation and real data evaluations, showing that image smoothness induces a positive bias that can help explain these unusual results.
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