TY - JOUR T1 - The Real-time fMRI Neurofeedback Based Stratification of Default Network Regulation Neuroimaging Data Repository JF - bioRxiv DO - 10.1101/075275 SP - 075275 AU - Amalia R McDonald AU - Jordan Muraskin AU - Nicholas T Van Dam AU - Caroline Froehlich AU - Benjamin Puccio AU - John Pellman AU - Clemens CC Bauer AU - Alexis Akeyson AU - Melissa M Breland AU - Vince D Calhoun AU - Steven Carter AU - Tiffany P Chang AU - Chelsea Gessner AU - Alyssa Gianonne AU - Steven Giavasis AU - Jamie Glass AU - Steven Homan AU - Margaret King AU - Melissa Kramer AU - Drew Landis AU - Alexis Lieval AU - Jonathan Lisinski AU - Anna Mackay-Brandt AU - Brittny Miller AU - Laura Panek AU - Hayley Reed AU - Christine Santiago AU - Eszter Schoell AU - Richard Sinnig AU - Melissa Sital AU - Elise Taverna AU - Russell Tobe AU - Kristin Trautman AU - Betty Varghese AU - Lauren Walden AU - Runtang Wang AU - Abigail B Waters AU - Dylan Wood AU - F Xavier Castellanos AU - Bennett Leventhal AU - Stanley J Colcombe AU - Stephen LaConte AU - Michael P Milham AU - R Cameron Craddoc Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/10/31/075275.abstract N2 - 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. Each session includes acquisition of one whole-brain anatomical scan and whole-brain echo-planar imaging (EPI) scans, acquired during the aforementioned tasks and resting state. The data includes several self-report measures related to perseverative thinking, emotion regulation, and imaginative processes, along with a behavioral measure of rapid visual information processing.Technical validation of the data confirms that the tasks deactivate and activate the DMN as expected. Group level analysis of the neurofeedback data indicates that the participants are able to modulate their DMN with considerable inter-subject variability. Preliminary analysis of behavioral responses and specifically self-reported sleep indicate that as many as 73 participants may need to be excluded from an analysis depending on the hypothesis being tested. ER -