The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository.

This data descriptor describes a repository of openly shared data from an experiment to assess inter-individual differences in default mode network (DMN) activity. This repository includes cross-sectional functional magnetic resonance imaging (fMRI) data from the Multi Source Interference Task, to assess DMN deactivation, the Moral Dilemma Task, to assess DMN activation, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures. We report technical validation from n=125 participants of the final targeted sample of 180 participants.

The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data.

Background: Skull-stripping is the procedure of removing non-brain tissue from anatomical MRI data. This procedure can be useful for calculating brain volume and for improving the quality of other image processing steps. Developing new skull-stripping algorithms and evaluating their performance requires gold standard data from a variety of different scanners and acquisition methods.

Noble metal nanostructure both as a SERS nanotag and an analyte probe.

We report nanotags encapsulated in Au-Ag nanostructure that are active in surface-enhanced Raman scattering. The Au-Ag nanoshells are filled with Ag via citrate reduction, entrapping label molecules in the process. The nanotags can be used for quantitative SERS measurements with the label molecules as internal reference.