@article {O{\textquoteright}Connor078881, author = {David O{\textquoteright}Connor and Natan Vega Potler and Meagan Kovacs and Ting Xu and Lei Ai and John Pellman and Tamara Vanderwal and Lucas Parra and Samantha Cohen and Satrajit Ghosh and Jasmine Escalera and Natalie Grant-Villegas and Yael Osman and Anastasia Bui and R. Cameron Craddock and Michael P. Milham}, title = {The Healthy Brain Network Serial Scanning Initiative: A resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions}, elocation-id = {078881}, year = {2016}, doi = {10.1101/078881}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Background Although typically measured during the resting state, a growing literature is illustrating the ability to map intrinsic connectivity in task and naturalistic viewing fMRI paradigms. These paradigms are drawing excitement due to their greater tolerability in clinical and developing populations and because they enable a wider range of analyses (e.g. inter-subject correlations). To be clinically useful, the test-retest reliability of connectivity measured during these paradigms needs to be established. This resource provides data for evaluating testretest reliability for full-brain connectivity patterns detected during each of four scan conditions that differ with respect to level of engagement (rest, abstract animations, movie clips, flanker task). Data is provided for thirteen participants, each scanned in twelve sessions with 10 minutes for each scan of the four conditions. Diffusion kurtosis imaging data was also obtained at each session.Findings Technical validation and demonstrative reliability analyses found that variation in intrinsic functional connectivity across sessions was greater than that attributable to scan condition. Between-condition reliability was generally high, particularly for the frontoparietal and default networks. Between-session reliabilities obtained separately for the different scan conditions were comparable, though notably lower than between-condition reliabilities.Conclusions The described resource provides a test-bed for quantifying the reliability of connectivity indices across conditions and time. The resource can be used to compare and optimize different frameworks for measuring connectivity and data collection parameters such as scan length. Additionally, investigators can explore the unique perspectives of the brain{\textquoteright}s functional architecture offered by each of the scan conditions.}, URL = {https://www.biorxiv.org/content/early/2016/10/03/078881}, eprint = {https://www.biorxiv.org/content/early/2016/10/03/078881.full.pdf}, journal = {bioRxiv} }