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 …

Combining deep learning image analysis methods and large-scale imaging datasets offers
many opportunities to neuroscience imaging and epidemiology. However, despite these …

The lateral prefrontal cortex (LPFC) is disproportionately expanded in humans compared to
non-human primates, although the relationship between LPFC brain structures and uniquely …

Understanding brain structure-function relationships, and their development and evolution,
is central to neuroscience research. Here, we show that morphological differences in …

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 identification of cortical sulci is key for understanding functional and structural
development of the cortex. While large, consistent sulci (or primary/secondary sulci) receive …

The lateral prefrontal cortex (LPFC) is an evolutionarily expanded region in humans that is
critical for numerous complex functions, many of which are largely hominoid specific …

The fusiform face area (FFA) is a widely studied region causally involved in face perception.
Even though cognitive neuroscientists have been studying the FFA for over two decades …