Abstract
Commentary: A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity.
Highlights
(2017) Commentary: A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity
The authors hypothesized that, despite overall similarity in connectivity patterns across subjects, portions of brain connectome variability would be fairly singular to each individual (Mueller et al, 2013; Gordon et al, 2015; Laumann et al, 2015; Xu et al, 2016). This notable study demonstrated that, using only the functional connectivity profile extracted from an fMRI scanning session, it was possible to identify the same subjects from their profiles from a second session a few days later
This hypothesis of a functional connectivity fingerprint was supported by previous work (Miranda-Dominguez et al, 2014), which showed that such individual signatures exist in humans and in non-human primates
Summary
(2017) Commentary: A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity. Huang et al (2016) provided a test-retest neuroimaging dataset (BNU2), with an inter-scan interval in the order of months, allowing investigation of the temporal reliability of features extracted from rs-fMRI. Finn et al (2015) investigated the existence of functional “connectome fingerprints.” The authors hypothesized that, despite overall similarity in connectivity patterns across subjects, portions of brain connectome variability would be fairly singular to each individual (Mueller et al, 2013; Gordon et al, 2015; Laumann et al, 2015; Xu et al, 2016).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
