Michael Waskom

TL;DR: Nipype solves issues by providing Interfaces to existing neuroimaging software with uniform usage semantics and by facilitating interaction between these packages using Workflows, and provides an environment that encourages interactive exploration of algorithms, eases the design of Workflows within and between packages, and reduces the learning Curve.

TL;DR: Seaborn as discussed by the authors is a library for making statistical graphics in Python that provides a high-level interface to matplotlib and integrates closely with pandas data structures, which makes it easy to translate questions about data into graphics that can answer them.

TL;DR: Neuroimaging in Python: Pipelines and interfaces as discussed by the authors is an open-source, community-developed, software package and scriptable library for neuroimaging analysis using Python.

TL;DR: Findings are consistent with preclinical models suggesting that the dentate gyrus and mPFC are especially vulnerable to stress exposure and provide evidence for morphometric changes that are consistency with stress-sensitization models of recurrence in MDD.