diff --git a/blog/2024-1-31-new-year.md b/blog/2024-1-31-new-year.md
index 649545b..4b9a824 100644
--- a/blog/2024-1-31-new-year.md
+++ b/blog/2024-1-31-new-year.md
@@ -19,7 +19,7 @@ A key feature that set Neurosynth aside were large-scale association maps (previ
 
 Whereas a typical meta-analysis tells you if activity is consistently reported in a target set of studies, an association test tells you if **activation occurs more consistently in this set of studies versus a large and diverse reference sample**. 
 
-That's important, because this allows you to control for base rate differences between regions. Certain regions, such as the insula or lateral PFC for instance, play a very broad role in cognition, and hence are consistently activated for many different tasks and cognitive states. Thus, if you see insula activity in your meta-analysis, you might erroneously conclude that the insula is involved in the cognitive state you're studying. A large-scale association test lets you determine if the activity you observe in a region occurs *more consistently* in your meta-analysis than in other studies, making it possible to make more confident claims that a given region is involved in a particular process, and isn't involved in just about every task.
+That's important, because this allows you to control for base rate differences between regions. Certain regions, such as the insula or lateral PFC for instance, play a very broad role in cognition, and hence are consistently activated for many different tasks and cognitive states. Using MKDA Chi-Squared, you can test if brain activity in a region (such as the insula) is specifically associated with the studies in your meta-analysis.
 
 Previously association tests were available for the automatically generated maps on neurosynth.org. **Now you can perform large-scale association tests for your custom meta-analyses in Neurosynth Compose.**