diff --git a/doc/changes/dev/14067.bugfix.rst b/doc/changes/dev/14067.bugfix.rst
new file mode 100644
index 00000000000..6fbd0cff41d
--- /dev/null
+++ b/doc/changes/dev/14067.bugfix.rst
@@ -0,0 +1 @@
+Fix :meth:`mne.Epochs.export` producing invalid EEGLAB event latencies and dummy events after epochs were dropped, by :newcontrib:`Daria Agafonova`.
diff --git a/doc/changes/names.inc b/doc/changes/names.inc
index 114cfb6999e..ed7305e9eae 100644
--- a/doc/changes/names.inc
+++ b/doc/changes/names.inc
@@ -72,6 +72,7 @@
 .. _Daniel McCloy: https://dan.mccloy.info
 .. _Daniel Strohmeier: https://github.com/joewalter
 .. _Daniel Tse: https://github.com/Xiezhibin
+.. _Daria Agafonova: https://github.com/viranovskaya
 .. _Darin Erat Sleiter: https://github.com/dsleiter
 .. _David Haslacher: https://github.com/davidhaslacher
 .. _David Julien: https://github.com/Swy7ch
diff --git a/mne/export/_eeglab.py b/mne/export/_eeglab.py
index c73243b0311..094e5e50440 100644
--- a/mne/export/_eeglab.py
+++ b/mne/export/_eeglab.py
@@ -66,16 +66,24 @@ def _export_epochs(fname, epochs):
     else:
         annot = None
 
+    # eeglabio uses column 0 as latency in the concatenated epochs array and
+    # column 2 as event type; the original recording sample is not stored here.
+    events = epochs.events.copy()
+    events[:, 0] = (
+        np.arange(len(epochs)) * len(epochs.times) + epochs.time_as_index(0)[0]
+    )
+
     # https://github.com/jackz314/eeglabio/pull/18
     kwargs = dict()
     if "epoch_indices" in getfullargspec(eeglabio.epochs.export_set).kwonlyargs:
-        kwargs["epoch_indices"] = epochs.selection
+        # This also handles zero time falling on the final sample (tmax=0).
+        kwargs["epoch_indices"] = np.arange(1, len(epochs) + 1)
 
     eeglabio.epochs.export_set(
         fname,
         data=epochs.get_data(picks=ch_names),
         sfreq=epochs.info["sfreq"],
-        events=epochs.events,
+        events=events,
         tmin=epochs.tmin,
         tmax=epochs.tmax,
         ch_names=ch_names,
diff --git a/mne/export/tests/test_export.py b/mne/export/tests/test_export.py
index 4651123d499..7c21624fc7d 100644
--- a/mne/export/tests/test_export.py
+++ b/mne/export/tests/test_export.py
@@ -15,6 +15,7 @@
 from mne import (
     Annotations,
     Epochs,
+    EpochsArray,
     create_info,
     read_epochs_eeglab,
     read_evokeds,
@@ -560,7 +561,10 @@ def test_export_epochs_eeglab(tmp_path, preload):
     cart_coords = np.array([d["loc"][:3] for d in epochs.info["chs"]])  # just xyz
     cart_coords_read = np.array([d["loc"][:3] for d in epochs_read.info["chs"]])
     assert_allclose(cart_coords, cart_coords_read)
-    assert_array_equal(epochs.events[:, 0], epochs_read.events[:, 0])  # latency
+    event_samples = (
+        np.arange(len(epochs)) * len(epochs.times) + epochs.time_as_index(0)[0]
+    )
+    assert_array_equal(event_samples, epochs_read.events[:, 0])
     assert epochs.event_id.keys() == epochs_read.event_id.keys()  # just keys
     assert_allclose(epochs.times, epochs_read.times)
     assert_allclose(epochs.get_data(), epochs_read.get_data())
@@ -583,6 +587,43 @@ def test_export_epochs_eeglab(tmp_path, preload):
         epochs.export(Path(temp_fname), overwrite=True)
 
 
+def test_export_epochs_eeglab_after_drop(tmp_path):
+    """Test EEGLAB event mapping after dropping epochs with tmax=0."""
+    pytest.importorskip("eeglabio", minversion="0.1.2")
+    sfreq = 100.0
+    n_epochs, n_times = 5, 11
+    info = create_info(["Cz"], sfreq, "eeg")
+    data = np.zeros((n_epochs, 1, n_times))
+    events = np.column_stack(
+        (
+            np.arange(1, n_epochs + 1) * 100,
+            np.zeros(n_epochs, int),
+            [1, 2, 3, 4, 5],
+        )
+    )
+    event_id = {f"event-{code}": code for code in events[:, 2]}
+    epochs = EpochsArray(
+        data, info, events=events, event_id=event_id, tmin=-0.1, verbose=False
+    )
+    assert epochs.tmax == 0
+    epochs.drop([1, 3])
+    assert_array_equal(epochs.selection, [0, 2, 4])
+
+    fname = tmp_path / "dropped.set"
+    epochs.export(fname)
+    epochs_read = read_epochs_eeglab(fname, verbose="error")
+
+    event_samples = (
+        np.arange(len(epochs)) * len(epochs.times) + epochs.time_as_index(0)[0]
+    )
+    assert_array_equal(event_samples, epochs_read.events[:, 0])
+    kept_codes = set(epochs.events[:, 2])
+    kept_names = {name for name, code in epochs.event_id.items() if code in kept_codes}
+    assert set(epochs_read.event_id) == kept_names
+    assert_allclose(epochs.times, epochs_read.times)
+    assert_allclose(epochs.get_data(), epochs_read.get_data())
+
+
 @testing.requires_testing_data
 @pytest.mark.parametrize("fmt", ("auto", "mff"))
 @pytest.mark.parametrize("do_history", (True, False))