diff --git a/.github/workflows/testing.yml b/.github/workflows/testing.yml
index a293b88f4..4ab033e3a 100644
--- a/.github/workflows/testing.yml
+++ b/.github/workflows/testing.yml
@@ -232,6 +232,8 @@ jobs:
       - name: Download artifacts
         uses: actions/download-artifact@v2
       - name: Upload to CodeCov
-        uses: codecov/codecov-action@v2
+        uses: codecov/codecov-action@v3
         with:
           fail_ci_if_error: true
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
diff --git a/nimare/meta/ibma.py b/nimare/meta/ibma.py
index daef906dd..ef5cdfdfd 100755
--- a/nimare/meta/ibma.py
+++ b/nimare/meta/ibma.py
@@ -9,7 +9,14 @@
 import pandas as pd
 import pymare
 from joblib import Memory
-from nilearn._utils.niimg_conversions import _check_same_fov
+
+try:
+    # nilearn>0.10.3
+    from nilearn._utils.niimg_conversions import check_same_fov
+except ImportError:
+    # nilearn < 0.10.3
+    from nilearn._utils.niimg_conversions import _check_same_fov as check_same_fov
+
 from nilearn.image import concat_imgs, resample_to_img
 from nilearn.input_data import NiftiMasker
 from nilearn.mass_univariate import permuted_ols
@@ -105,7 +112,7 @@ def _preprocess_input(self, dataset):
                 imgs = [
                     (
                         nib.load(img)
-                        if _check_same_fov(nib.load(img), reference_masker=mask_img)
+                        if check_same_fov(nib.load(img), reference_masker=mask_img)
                         else resample_to_img(nib.load(img), mask_img, **self._resample_kwargs)
                     )
                     for img in self.inputs_[name]
diff --git a/setup.cfg b/setup.cfg
index 9da42ef33..6c6abc4b7 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -44,7 +44,7 @@ install_requires =
     joblib>=1.3.0  # parallelization
     matplotlib>=3.5.2  # this is for nilearn, which doesn't include it in its reqs
     nibabel>=3.2.0  # I/O of niftis
-    nilearn>=0.10.1,<0.10.3 # until https://github.com/nilearn/nilearn/pull/4256 is resolved
+    nilearn>=0.10.1,!=0.10.3 # https://github.com/nilearn/nilearn/pull/4256 0.10.3 is broken
     numba>=0.57.0 # used by sparse
     numpy>=1.22 # numba needs NumPy 1.22 or greater
     pandas>=2.0.0