Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2017 Apr 11;12(7):1179–1187. doi: 10.1093/scan/nsx043

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) (2017). Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

PMC Copyright notice

Fig. 3. — The moderation analysis can be illustrated at four prototypic ‘brain network connectivity profiles’. These profiles were characterized by a distinct pattern in change of connectivity in the two networks in stress. (a) profile which showed increase in connectivity in stress in SN and ECN (b) profile which showed increase in connectivity only in SN and decrease in ECN (c) profile which showed increase in ECN and decrease in SN and (d) profile which showed decrease in connectivity in both. For each brain state, the correlation between brain and behavior is displayed, the plots depict the correlation from the VOIs (frontal VOIs: DLPFC, IFG, pgACC, distributed VOIs: DMPFC, AG, MTG). Change in reaction time or percent correct is plotted on the y-axis and change in brain activation on the x-axis. Positive values represent an increase of activity in stress and negative a decrease in stress. Slopes and offset were generated by the moderated moderation based on + 1 and −1 SD in all scales, that is the different profiles represent the variance in network connectivity observed in our sample and how this variance influenced brain–behavior associations.