diff --git a/docs/changes/newsfragments/347.misc b/docs/changes/newsfragments/347.misc
new file mode 100644
index 000000000..dcacc4841
--- /dev/null
+++ b/docs/changes/newsfragments/347.misc
@@ -0,0 +1 @@
+Update core and docs dependencies by `Synchon Mandal`_
diff --git a/junifer/external/nilearn/junifer_nifti_spheres_masker.py b/junifer/external/nilearn/junifer_nifti_spheres_masker.py
index 8f00448f9..36fd7d9b8 100644
--- a/junifer/external/nilearn/junifer_nifti_spheres_masker.py
+++ b/junifer/external/nilearn/junifer_nifti_spheres_masker.py
@@ -10,9 +10,9 @@ from nilearn import image, masking
 from nilearn._utils.class_inspect import get_params
 from nilearn._utils.niimg import img_data_dtype
 from nilearn._utils.niimg_conversions import (
-    _safe_get_data,
     check_niimg_3d,
     check_niimg_4d,
+    safe_get_data,
 )
 from nilearn.maskers import NiftiSpheresMasker
 from nilearn.maskers.base_masker import _filter_and_extract
@@ -104,7 +104,7 @@ def _apply_mask_and_get_affinity(
 
     # Compute world coordinates of all in-mask voxels.
     if niimg is None:
-        mask, affine = masking._load_mask_img(mask_img)
+        mask, affine = masking.load_mask_img(mask_img)
         # Get coordinate for all voxels inside of mask
         mask_coords = np.asarray(np.nonzero(mask)).T.tolist()
         X = None
@@ -118,21 +118,21 @@ def _apply_mask_and_get_affinity(
             target_shape=niimg.shape[:3],
             interpolation="nearest",
         )
-        mask, _ = masking._load_mask_img(mask_img)
+        mask, _ = masking.load_mask_img(mask_img)
         mask_coords = list(zip(*np.where(mask != 0)))
 
-        X = masking._apply_mask_fmri(niimg, mask_img)
+        X = masking.apply_mask_fmri(niimg, mask_img)
 
     elif niimg is not None:
         affine = niimg.affine
-        if np.isnan(np.sum(_safe_get_data(niimg))):
+        if np.isnan(np.sum(safe_get_data(niimg))):
             warn_with_log(
                 "The imgs you have fed into fit_transform() contains NaN "
                 "values which will be converted to zeroes."
             )
-            X = _safe_get_data(niimg, True).reshape([-1, niimg.shape[3]]).T
+            X = safe_get_data(niimg, True).reshape([-1, niimg.shape[3]]).T
         else:
-            X = _safe_get_data(niimg).reshape([-1, niimg.shape[3]]).T
+            X = safe_get_data(niimg).reshape([-1, niimg.shape[3]]).T
 
         mask_coords = list(np.ndindex(niimg.shape[:3]))
 
diff --git a/pyproject.toml b/pyproject.toml
index e318016b7..7a17e6aa3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,13 +37,13 @@ classifiers = [
 ]
 dependencies = [
     "click>=8.1.3,<8.2",
-    "numpy>=1.24,<1.27",
-    "scipy>=1.9.0,<=1.11.4",
-    "datalad>=0.15.4,<0.20",
-    "pandas>=1.4.0,<2.2",
-    "nibabel>=3.2.0,<5.11",
-    "nilearn>=0.9.0,<=0.10.2",
-    "sqlalchemy>=1.4.27,<=2.1.0",
+    "numpy>=1.24.0,<2.0.0",
+    "scipy>=1.10.0,<=1.14.0",
+    "datalad>=1.0.0,<1.2.0",
+    "pandas>=2.0.0,<2.3.0",
+    "nibabel>=5.2.0,<5.3.0",
+    "nilearn>=0.10.3,<=0.10.4",
+    "sqlalchemy>=2.0.25,<=2.1.0",
     "ruamel.yaml>=0.17,<0.18",
     "h5py>=3.10",
     "httpx[http2]==0.26.0",
@@ -76,14 +76,14 @@ onthefly = [
 neurokit2 = ["neurokit2>=0.1.7"]
 dev = ["tox", "pre-commit"]
 docs = [
-    "seaborn>=0.11.2,<0.13",
-    "sphinx>=5.3.0,<7.3",
-    "sphinx-gallery>=0.11.0,<0.15.0",
-    "furo>=2022.9.29,<2023.10.0",
-    "numpydoc>=1.5.0,<1.6",
-    "julearn>=0.3.0,<0.4",
+    "seaborn>=0.13.0,<0.14.0",
+    "sphinx>=7.3.0,<7.4.0",
+    "sphinx-gallery>=0.15.0,<0.17.0",
+    "furo>=2024.4.27,<2024.6.0",
+    "numpydoc>=1.6.0,<1.8.0",
+    "julearn==0.3.3",
     "sphinx-copybutton>=0.5.1,<0.5.3",
-    "towncrier>=22.12.0,<23.7",
+    "towncrier>=23.10.0,<23.12.0",
     "sphinxcontrib-mermaid>=0.8.1,<0.10",
 ]