http://www.nitrc.org/forum/forum.php?forum_id=8280 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>Association between Scale-Free Brain Dynamics and Behavioral Performance: Functional MRI Study in Resting State and Face Processing Task.</b></p> <p>Behav Neurol. 2017;2017:2824615</p> <p>Authors: Kasagi M, Huang Z, Narita K, Shitara H, Motegi T, Suzuki Y, Fujihara K, Tanabe S, Kosaka H, Ujita K, Fukuda M, Northoff G</p> <p>Abstract<br/> The scale-free dynamics of human brain activity, characterized by an elaborate temporal structure with scale-free properties, can be quantified using the power-law exponent (PLE) as an index. Power laws are well documented in nature in general, particularly in the brain. Some previous fMRI studies have demonstrated a lower PLE during cognitive-task-evoked activity than during resting state activity. However, PLE modulation during cognitive-task-evoked activity and its relationship with an associated behavior remain unclear. In this functional fMRI study in the resting state and face processing + control task, we investigated PLE during both the resting state and task-evoked activities, as well as its relationship with behavior measured using mean reaction time (mRT) during the task. We found that (1) face discrimination-induced BOLD signal changes in the medial prefrontal cortex (mPFC), posterior cingulate cortex (PCC), amygdala, and fusiform face area; (2) PLE significantly decreased during task-evoked activity specifically in mPFC compared with resting state activity; (3) most importantly, in mPFC, mRT significantly negatively correlated with both resting state PLE and the resting-task PLE difference. These results may lead to a better understanding of the associations between task performance parameters (e.g., mRT) and the scale-free dynamics of spontaneous and task-evoked brain activities.<br/> </p><p>PMID: 29430081 [PubMed - in process]</p> en-us Copyright 2000-2026 NITRC OSI Thu, 30 Apr 2026 14:04:19 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator