[DOC] Fix typos doc

CITATION.cff

@@ -722,3 +722,7 @@ authors:
     family-names: Nájera
     website: https://github.com/Titan-C
     affiliation: Checkmk
+  - given-names: Florent
+    family-names: Pollet
+    website: https://florian6973.github.io/
+    affiliation: ENS Paris-Saclay, Saclay, France

doc/changes/latest.rst

@@ -28,7 +28,7 @@ Fixes
 - :bdg-dark:`Code` Fix cut position in nifti maps maskers to match displayed map maximum (:gh:`4304` by `Rémi Gau`_).
 - :bdg-dark:`Code` Make sure that :class:`nilearn.maskers.NiftiSpheresMasker` reports displays properly when it contains only 1 sphere (:gh:`4269` by `Rémi Gau`_).
 - :bdg-dark:`Code` Miscellaneous fixes in GLM reports (only display FIR delay if FIR is used, display color bar "Z score" legend...) (:gh:`4266` by `Rémi Gau`_).
-
+- :bdg-primary:`Doc` Fix minor typos in documentation (glossary and connectivity/parcellating) (:gh:`4343` by `Florent Pollet`_).
 
 Enhancements
 ------------

doc/connectivity/parcellating.rst

@@ -34,7 +34,7 @@ Applying clustering
     The question of which clustering method to use is in itself subject
     to debate. There are many clustering methods; their computational
     cost will vary, as well as their results. A `well-cited empirical
-    comparison paper (:footcite:t:`Thirion2014`) suggests that:
+    comparison paper` (:footcite:t:`Thirion2014`) suggests that:
 
     * For a large number of clusters, it is preferable to use Ward
       agglomerative clustering with spatial constraints

doc/glossary.rst

@@ -191,7 +191,7 @@ If you wish to add a missing term, please
         that have been matched to the MNI305 using a 9 parameter affine transform.
 
     MVPA
-        Mutli-Voxel Pattern Analysis. This is the way :term:`supervised learning`
+        Multi-Voxel Pattern Analysis. This is the way :term:`supervised learning`
         methods are called in the field of brain imaging.
 
     Neurovault