This document summarizes two neuroimaging case studies presented at a data visualization conference. The first case study discusses a reproducible figure from a 2017 paper that used real-time motion analytics during brain MRI to improve data quality and reduce costs. The second case study describes a "Franken-figure" from a 2012 paper that examined how changes in spontaneous activity measured by accelerometry correlated with the extent of cerebral ischemia-reperfusion injury in primates. Figures from both case studies are included to demonstrate data visualization techniques.

1. NEUROIMAGING
DATA VIZ
CASE STUDY
B I O D A T A C L U B , 4 / 6 / 2 0 1 8
B Y E R I C E A R L
O H S U B E H A V I O R A L N E U R O S C I E N C E D C A N L A B S

2. TELLING STORIES
“There are many true statements about complex
topics that are too long to fit on a PowerPoint slide.”
~ Edward Tufte
“An American statistician and professor
emeritus of political science, statistics, and computer
science at Yale University. He is noted for his writings
on information design and as a pioneer in the field
of data visualization.”
~ Wikipedia, 4/3/18

3. TODAY’S STORIES
The Reproducible Figure
Dosenbach, et al, 2017, Real-time motion analytics during brain MRI improve data quality
quality and reduce costs, NeuroImage.
http://www.sciencedirect.com/science/article/pii/S1053811917306729
The Franken-Figure
Urbanski, et al, 2012, Changes in spontaneous activity assessed by accelerometry correlate
correlate with extent of cerebral ischemia-reperfusion injury in the nonhuman primate,
Translational Stroke Research.
https://link.springer.com/article/10.1007/s12975-012-0191-8

4. THE REPRODUCIBLE FIGURE

5. THE REPRODUCIBLE FIGURE

6. THE REPRODUCIBLE FIGURE

7. THE REPRODUCIBLE FIGURE

8. THE FRANKEN-FIGURE

9. THE FRANKEN-FIGURE