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-```{r active="", eval=FALSE}
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 poster_height: 46in
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 knit: pagedown::chrome_print
 
 ---
-```
 
 <style>
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 # Methods
 
-- **Data:** the UCLA Consortium for Neuropsychiatric Phenomics LA5c Study [@ds000030:1.0.0], which includes diffusion MRI (dMRI) data from 49 participants with SZ (mean age: 36.2 +/- 8.8 SD; 12 female), XX participants with ADHD (mean age: XX +/- XX SD; XX female), XX participants with bipolar disorder (BP) (mean age: XX +/- XX SD), and 123 controls (CTRL) (mean age: 31.6 +/- 8.8 SD; 58 female).
+- **Data:** the UCLA Consortium for Neuropsychiatric Phenomics LA5c Study [@ds000030:1.0.0], which includes diffusion MRI (dMRI) data from 49 participants with SZ (mean age: 36.2 +/- 8.8 SD; 12 female), 40 participants with ADHD (mean age: 31.95 +/- 10.3 SD; 20 female), 49 participants with bipolar disorder (BP) (mean age: 35.3 +/- 9.0 SD, 21 female), and 123 controls (CTRL) (mean age: 31.6 +/- 8.8 SD; 58 female).
 - The data were processed using QSIPREP [@Cieslak2021-vj] and pyAFQ [@Kruper2021-az] [@Yeatman2012-ze]
 - The SCPs were identified in each individual using pyAFQ and anatomical criteria that capture the decussation of these bundles. [@Jossinger2023-gj]
 - This resulted in tract profiles of fractional anisotropy (FA) and mean diffusivity (MD) in each white matter pathway (100 nodes each). 
@@ -146,4 +144,6 @@ The left (dark blue) and right (light blue) SCP bundles visualized in an individ
 
 # Acknowledgements
 
+NIMH grants: MH121867 (PI: Poldrack), MH121868 (PI: Rokem), EB027585 (PI: Garyfallidis)
+
 # References