added interpretation and cover image

content/en/project/viswanathan_project/index.md

@@ -23,7 +23,7 @@ Summary: "This project will walk you through visualizing functional network conn
 
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-image: ""
+image: "connectome.png"
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@@ -82,9 +82,11 @@ For understanding the resting- state functional network connectivity in reward n
 
 7. Graph theory visualizations was done using the networkx library where a graph network was plotted based on correlation matrix at each time point where each ROI was an edge and at 0.5 threshold, we can see that different ROI pairs emerge at different time points. 
 
-### Progress overview
 
-The project was swiftly initiated by P Bellec, based on the existing template created in 2019 by Tristan Glatard and improved by different students. It was really not that hard. Community feedback is expected to lead to rapid further improvements of this first version.
+## Interpretations 
+T-statsitics was computed for time point 1 and 2 (p = 0.20214417156708017), 1 and 3 (p = 0.7489632606673926) and 2 and 3 ( p = 0.3206681890020016). No statistical significance was seen in all the three time t-test scores showing that there is no significant reward network changes across time. 
+
+
 
 ### Tools I learned during this project