diff --git a/nimare/meta/utils.py b/nimare/meta/utils.py
index 736628da9..d445277ec 100755
--- a/nimare/meta/utils.py
+++ b/nimare/meta/utils.py
@@ -122,9 +122,7 @@ def compute_kda_ma(
 
     n_dim = ijks.shape[1]
     xx, yy, zz = [slice(-r // vox_dims[i], r // vox_dims[i] + 0.01, 1) for i in range(n_dim)]
-    cube = np.vstack(
-        [row.ravel() for row in np.mgrid[xx, yy, zz]], dtype=np.int32, casting="unsafe"
-    )
+    cube = np.vstack([row.ravel() for row in (np.mgrid[xx, yy, zz]).astype(np.int32)])
     kernel = cube[:, np.sum(np.dot(np.diag(vox_dims), cube) ** 2, 0) ** 0.5 <= r]
 
     if sum_across_studies:
diff --git a/setup.cfg b/setup.cfg
index 83279717a..1b0c1f95b 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -55,7 +55,7 @@ install_requires =
     requests  # nimare.extract
     scikit-learn>=1.0.0  # nimare.annotate and nimare.decode
     scipy>=1.6.0
-    seaborn  # nimare.reports
+    seaborn>=0.13.0  # nimare.reports
     sparse>=0.13.0  # for kernel transformers
     statsmodels!=0.13.2  # this version doesn't install properly
     tqdm  # progress bars throughout package
@@ -92,7 +92,7 @@ minimum =
     matplotlib==3.5.2
     nibabel==4.0.0
     nilearn==0.10.1
-    numpy==1.24.1
+    numpy==1.22
     pandas==2.0.0
     pymare==0.0.4rc2
     scikit-learn==1.0.0