An important goal in neuroscience is to understand the relationship between brain activity and cognitive traits. Toward this aim, many studies draw upon resting-state Functional Magnetic Resonance Imaging (rs-fMRI) datasets, which provide a means of probing the spatial and temporal structure of spontaneous brain activity in human subjects. However, as rsfMRI and behavioral data are both noisy, obtaining a robust relationship between them is difficult. Further, given the large number of candidate features in fMRI data, it is challenging to select those which may be most relevant for predicting a specific behavioral trait. In our research, we examined brain fMRI features based upon Sample Entropy (SampEn), which is a nonlinear signal processing measure that captures the complexity of a time series. Using 90 selected regions of interest (ROIs) across 96 unrelated subjects from the Human Connectome Project (HCP), we found that our SampEn-based features contained reproducible patterns over different rs-fMRI scans. Further, we report the relative stability of each ROI’s SampEn over four different scans of these 96 subjects. Finally, we apply multivariate models to relate SampEnbased brain features to cognition and emotion-related behavioral measures, and show that these models are reproducible when applied to different scans from the same individuals. Overall, these results suggest that SampEn of regional fMRI signals may be a reproducible metric of brain activity in healthy subjects.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.