diff --git a/src/neuroconv/datainterfaces/text/timeintervalsinterface.py b/src/neuroconv/datainterfaces/text/timeintervalsinterface.py
index ef12bef08..fee55aabb 100644
--- a/src/neuroconv/datainterfaces/text/timeintervalsinterface.py
+++ b/src/neuroconv/datainterfaces/text/timeintervalsinterface.py
@@ -1,22 +1,32 @@
 from abc import abstractmethod
 
+from typing import Dict, Optional
+
 import numpy as np
+import pandas as pd
 from pynwb import NWBFile
 from pynwb.epoch import TimeIntervals
 
 from ...basedatainterface import BaseDataInterface
-from ...utils.types import FilePathType, Optional
+from ...utils.types import FilePathType
 from ...tools.nwb_helpers import make_or_load_nwbfile
 
 
-def convert_df_to_time_intervals(df, name, description=None):
+def convert_df_to_time_intervals(
+    df: pd.DataFrame,
+    name: str,
+    description: Optional[str] = None,
+    column_name_mapping: Dict[str, str] = None,
+):
+    if column_name_mapping is not None:
+        df.rename(columns=column_name_mapping, inplace=True)
     if description is None:
         description = name
     time_intervals = TimeIntervals(name, description)
     if "start_time" not in df:
         raise ValueError(f"df must contain a column named 'start_time'. Existing columns: {df.columns.to_list()}")
     if "stop_time" not in df:
-        df["stop_time"] = np.nan
+        df["stop_time"] = np.r_[df["start_time"][1:].to_numpy(), np.nan]
     for col in df:
         if col not in ("start_time", "stop_time"):
             time_intervals.add_column(col, col)