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Abstract Variation in prefrontal cortex neuroanatomy has been previously associated with elevated physiological responses to anticipated aversive events. The extent to which such associations extend beyond the specific ecology of treatment-seeking youth from upper-middle socioeconomic backgrounds is unknown. The current study tests the replicability of neuroanatomical correlates of anticipatory responding and the moderating roles of age and anxiety severity in a community sample of Latina girls, a historically underrepresented group exhibiting high levels of untreated anxiety. Forty pre-adolescent Latina girls (MAge = 10.01, s.d. = 1.25, range = 8–12 years) completed a structural magnetic resonance imaging scan. Participants also completed a differential threat and safety learning paradigm, during which skin conductance and subjective fear responding were assessed. Anxiety severity was assessed via the Screen for Child Anxiety Related Emotional Disorders. Ventromedial prefrontal cortex thickness was associated with reduced physiological responsivity to anticipated threat. Age- and anxiety-dependent associations emerged between dorsomedial prefrontal cortex thickness and individual differences in subjective fear responding to anticipated threat. This preliminary study extends work on neuroanatomical contributions to physiological threat responsivity to a community sample of Latina youth and highlights potential considerations for early identification efforts in this population when threat neurocircuitry is still developing. 

Linking neurobiology to relatively stable individual differences in cognition, emotion, motivation, and behavior can require large sample sizes to yield replicable results. Given the nature of between-person research, sample sizes at least in the hundreds are likely to be necessary in most neuroimaging studies of individual differences, regardless of whether they are investigating the whole brain or more focal hypotheses. However, the appropriate sample size depends on the expected effect size. Therefore, we propose four strategies to increase effect sizes in neuroimaging research, which may help to enable the detection of replicable between-person effects in samples in the hundreds rather than the thousands: (1) theoretical matching between neuroimaging tasks and behavioral constructs of interest; (2) increasing the reliability of both neural and psychological measurement; (3) individualization of measures for each participant; and (4) using multivariate approaches with cross-validation instead of univariate approaches. We discuss challenges associated with these methods and highlight strategies for improvements that will help the field to move toward a more robust and accessible neuroscience of individual differences.