http://www.nitrc.org/forum/forum.php?forum_id=6423 <table border="0" width="100%"><tr><td align="left"/><td align="right"><a href="http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed&amp;cmd=Link&amp;LinkName=pubmed_pubmed&amp;from_uid=27448367">Related Articles</a></td></tr></table> <p><b>Experimental Validation of Dynamic Granger Causality for Inferring Stimulus-evoked Sub-100ms Timing Differences from fMRI.</b></p> <p>IEEE Trans Neural Syst Rehabil Eng. 2016 Jul 20;</p> <p>Authors: Wang Y, Katwal S, Rogers B, Gore J, Deshpande G</p> <p>Abstract<br/> Decoding the sequential flow of events in the human brain non-invasively is critical for gaining a mechanistic understanding of brain function. In this study, we propose a method based on dynamic Granger causality analysis to measure timing differences in brain responses from fMRI. We experimentally validate this method by detecting sub-100ms timing differences in fMRI responses obtained from bilateral visual cortex using fast sampling, ultra-high field and an eventrelated visual hemifield paradigm with known timing difference between the hemifields. Classical Granger causality was previously shown to be able to detect sub-100 ms timing differences in the visual cortex. Since classical Granger causality does not differentiate between spontaneous and stimulus-evoked responses, dynamic Granger causality has been proposed as an alternative, thereby necessitating its experimental validation. In addition to detecting timing differences as low as 28 ms during dynamic Granger causality, the significance of the inference from our method increased with increasing delay both in simulations and experimental data. Therefore, it provides a methodology for understanding mental chronometry from fMRI in a data-driven way.<br/> </p><p>PMID: 27448367 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Tue, 05 May 2026 6:37:33 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator