http://www.nitrc.org/forum/forum.php?forum_id=7793 <table border="0" width="100%"><tr><td align="left"/><td align="right"><a href="https://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed&amp;cmd=Link&amp;LinkName=pubmed_pubmed&amp;from_uid=28874061">Related Articles</a></td></tr></table> <p><b>Time-resolved resting state fMRI analysis: current status, challenges, and new directions.</b></p> <p>Brain Connect. 2017 Sep 06;:</p> <p>Authors: Keilholz SD, Caballero-Gaudes C, Bandettini P, Deco G, Calhoun VD</p> <p>Abstract<br/> Time-resolved analysis of resting state fMRI data allows researchers to extract more information about brain function than traditional functional connectivity analysis, yet a number of challenges in data analysis and interpretation remain. This manuscript briefly summarizes common methods for time-resolved analysis and presents some of the pressing issues and opportunities in the field. From there, the discussion moves to the interpretation of the network dynamics observed with resting state fMRI and the role that resting state fMRI can play in elucidating the large-scale organization of brain activity.<br/> </p><p>PMID: 28874061 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Sat, 02 May 2026 18:45:16 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator