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Although issues surrounding diversity and inclusion in science are global, distinctive region-specific socioeconomic factors and operational biases interact to widen the opportunity gap and exacerbate the isolation of specific groups of disadvantaged scientists on the global stage. This commentary reviews the issues currently faced by the Latin American (neuro)science community and outlines key actions on multiple fronts to overcome the barriers impeding their global inclusion, visibility and success.
A 2022 paper reported a caveat about brain–behavior relationships emerging from neuroimaging data, which then unintentionally cast an entire field and a neuroscientific method into doubt… again.
Can studying individual differences in brain structure and function reveal individual differences in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest that the possibility is fleeting. Although sample size is important for brain-based prediction, researchers can take other steps to build better biomarkers. These include testing model generalizability across people, datasets, and time points and maximizing model robustness by optimizing brain data acquisition, behavioral measures, and prediction approaches.