Link Tejavibulya

The Hidden Landscape of Missed Effects in Human Functional Neuroimaging

The paper identifies inflated effect sizes in functional neuroimaging studies and proposes a correction method to improve study planning and detection of brain effects.

Brain-handedness associations depend on how and when handedness is measured

The paper shows brain-handedness associations vary based on how and when handedness is measured, using two large datasets.

Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkers

The paper shows that overlooked brain connectivity features can yield different neurobiological interpretations with similar prediction accuracy in neuroimaging studies.

Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive function

This study examines how variability in brain state engagement changes with age and its relationship to executive function in youth.

Power and reproducibility in the external validation of brain-phenotype predictions

The paper evaluates the statistical power of external validation in brain-phenotype predictions and finds that sample size impacts power and effect size inflation.

The effects of data leakage on connectome-based machine learning models

This study evaluates how data leakage affects machine learning models using neuroimaging data, finding that some leakage types significantly inflate performance while others reduce it or affect model interpretations.

Brain-phenotype predictions can survive across diverse real-world data

The paper tests predictive models' ability to generalize across diverse, unharmonized neuroimaging datasets and finds that cross-dataset training improves prediction robustness.

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for any atlas when raw data is not available

CAROT remaps connectomes between atlases without raw data, enabling reuse of processed data across different atlases.

Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity

This study compares functional connectivity differences between left- and right-handed individuals across the whole brain, revealing non-region-specific patterns of connectivity.