Skip to content
Open access

An Allometric Approach to Fine-Mapping Subcortical Volume Alterations in RASopathies

Sep 2026 · eNeuro · Vol 13 · 0 citations · 52 references
Medicine

Abstract

Visual Abstract Structural neuroimaging in youth with RASopathies has shown alterations in total brain volume (TBV) and subcortical structures. However, whether these subcortical differences scale proportionately with TBV or follow nonlinear allometric relationships remains unclear, limiting accurate interpretation of neuroanatomical findings and their relevance to cognition. Using an allometric framework, this study aimed to determine whether (1) subcortical volumes exhibit deviations from normative scaling in RASopathies and (2) methods used to account for TBV influence the detection of subcortical volume alterations. We examined youth with RASopathies (N = 132), including neurofibromatosis type 1 (NF1; N = 27), Noonan syndrome (N = 100; PTPN11, 72; SOS1, 22; RAF1, 6), and Noonan syndrome with multiple lentigines (NSML; N = 5), compared with 80 age- and sex-matched controls. Subcortical volumes were analyzed using an allometric framework, compared with linear TBV correction methods (normalization and covariation), and explored in sex-stratified analyses. Allometric analyses revealed deviations from normative scaling in the thalamus for NF1; the caudate, putamen, ventral striatum, and pallidum for PTPN11; and the ventral striatum for SOS1. No significant deviations were observed for NSML or RAF1. Exploratory sex-stratified analyses suggested similar directional scaling patterns across sexes, with greater deviations in females, although subgroup sizes were small. Comparisons across correction methods demonstrated that linear approaches may overestimate regional differences, whereas thalamic alterations in NF1 and striatal alterations in PTPN11 were consistent across methods, suggesting robust, region-specific genetic effects beyond scaling. These findings highlight genotype-specific deviations from normative allometric scaling and underscore the importance of nonlinear scaling frameworks to accurately characterize neuroanatomical differences in RASopathies.

Read PDF

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.