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. Author manuscript; available in PMC: 2018 Jun 2.
Published in final edited form as: Bipolar Disord. 2017 Jun 2;19(4):259–272. doi: 10.1111/bdi.12507

Figure 1.

Figure 1

Voxel-wise contrast showing regional activation differences between bipolar and healthy groups at baseline to define regions-of-interest (ROIs) for machine learning input (a). Fifteen mm spheres of different colors centered around local cluster maxima defining 30 functionally-derived ROIs including: 1 = L parahippocampal gyrus; 2 = R parahippocampal gyrus; 3 = B medial frontal cortex; 4 = L caudate; 5 = R caudate; 6 = L putamen; 7 = R putamen; 8 = B superior frontal cortex; 9 = L middle frontal cortex; 10 = R middle frontal cortex; 11 = R middle temporal gyrus; 12 = L anterior insula; 13 = L posterior insula; 14 = R insula; 15 = R precuneus; 16 = L cerebellar lobule VI/VIIa; 17 = R cerebellar lobule VI/VIIa; 18 = L cerebellar lobule VI; 19 = L fusiform gyrus; 20 = L lingual gyrus; 21 = R lingual gyrus; 22 = R inferior occipital gyrus; 23 = L parietal cortex; 24 = R parietal cortex; 25 = L inferior temporal gyrus; 26 = L dorsal posterior cingulate; 27 = L ventrolateral prefrontal cortex; 28 = B medial prefrontal cortex; 29 = B anterior cingulate cortex; 30 = R amygdala (b).