With the advances of data-driven machine learning research, a wide variety of prediction
problems have been tackled. It has become critical to explore how machine learning and …

Understanding the relationship between neuroanatomy and function in portions of cortex
that perform functions largely specific to humans such as lateral prefrontal cortex (LPFC) is …

The neuroanatomical changes that underpin cognitive development are of major interest in
neuroscience. Of the many aspects of neuroanatomy to consider, tertiary sulci are …

Mesh-based reconstruction of the cerebral cortex is a fundamental component in brain
image analysis. Classical, iterative pipelines for cortical modeling are robust but often time …

The inference of cortical sulcal labels often focuses on deep (primary and secondary) sulcal
regions, whereas shallow (tertiary) sulcal regions are largely overlooked in the literature due …

Background Emotion-related impulsivity (ERI) describes the trait-like tendency toward poor
self-control when experiencing strong emotions. ERI has been shown to be elevated across …

Cortical surface parcellation for fetal brains is essential for the understanding of
neurodevelopmental trajectories during gestations with regional analyses of brain structures …

Background Impulsivity is a multidimensional construct reflecting poor constraint over one's
behaviors. Clinical psychology research identifies separable impulsivity dimensions that are …

Volumetric quantification of medical images plays a crucial role in the development,
discovery, and assessment of anatomical mechanisms. Modern machine learning …

While the disproportionate expansion of lateral prefrontal cortex (LPFC) in humans
compared to non-human primates is accepted, the relationship between evolutionarily new …