fix to stats when no json file is defined

src/analysis/intergroupstats.py

@@ -165,8 +165,8 @@ class InterGroupStatsWidget(InterGroupUIMixin, FlaresBaseWidget):
         df_ind_dict: dict[str, DataFrame],
         design_matrix_dict: dict[str, DataFrame],
         contrast_results_dict: dict[str, dict[str, Any]],
+        roi_channel_map_dict: dict[str, dict[str, str]],
         group_dict: dict[str, str],
-        json_location: str | Path
     ) -> None:
         
         super().__init__("InterGroupStats")
@@ -176,14 +176,14 @@ class InterGroupStatsWidget(InterGroupUIMixin, FlaresBaseWidget):
         self.df_ind_dict = df_ind_dict
         self.design_matrix_dict = design_matrix_dict
         self.contrast_results_dict = contrast_results_dict
+        self.roi_channel_map_dict = roi_channel_map_dict
         self.group_dict = group_dict
-        self.json_location = json_location
 
         self.setup_inter_group_ui(["0 (ROI vs. Zero)", "1 (Paired ROI Contrast)", "2 (Joint Contrast, ROI-Aggregated)"], placeholder_text=DESCRIPTION)
 
 
     def process_request(self):
-        request = self.get_common_request_data(PARAMETERIZED_INDEXES, self.json_location, self.contrast_results_dict)
+        request = self.get_common_request_data(PARAMETERIZED_INDEXES, self.df_ind_dict, self.contrast_results_dict)
         if request is None:
             return
 
@@ -276,7 +276,6 @@ class InterGroupStatsWidget(InterGroupUIMixin, FlaresBaseWidget):
                     correction_method=correction_method,
                     target_chroma=target_chroma,
                     graph_bounds=graph_bounds if graph_bounds > 0.0 else None,
-                    roi_config=self.json_location
                 )
 
             elif idx == 1:
@@ -358,11 +357,20 @@ class InterGroupStatsWidget(InterGroupUIMixin, FlaresBaseWidget):
                     continue
  
                 df_contrasts = pd.concat(all_contrasts, ignore_index=True)
- 
+
+                selected_roi_maps = {
+                    fp: self.roi_channel_map_dict[fp]
+                    for fp in selected_file_paths
+                    if fp in self.roi_channel_map_dict
+                }
+                if not selected_roi_maps:
+                    print("No channel-to-ROI mapping available for selected participants.")
+                    continue
+
                 try:
                     roi_theta = aggregate_channel_contrasts_to_roi(
                         df_contrasts,
-                        roi_json_path=self.json_location,
+                        roi_channel_maps=selected_roi_maps,
                         weighted=weighted,
                     )