ttest_sig_stroke_vs_sham

code/ttest_group_differences.py

@@ -17,7 +17,7 @@ code_dir = os.path.dirname(os.path.abspath(__file__))
 parent_dir = os.path.dirname(code_dir)
 
 # Load the CSV data
-input_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs", "onlyCST",'Quantitative_results_from_dwi_processing_withOutWM_and_partialCST.csv')
+input_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs",'Quantitative_results_from_dwi_processing_only_in_stroke_slices.csv')
 df = pd.read_csv(input_file_path, low_memory=False)
 
 # Initialize an empty list to store results
@@ -106,7 +106,7 @@ with ThreadPoolExecutor(max_workers=6) as executor:
 results_df = pd.DataFrame(results)
 
 # Define output path for the new CSV
-output_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs", 'Significance_stroke_vs_sham_difference_withoutWMmask_partialCST.csv')
+output_file_path = os.path.join(parent_dir, 'output', "Quantitative_outputs", 'Significance_stroke_vs_sham_difference_withoutWMmask_only_in_stroke_slices.csv')
 
 # Save results to CSV
 results_df.to_csv(output_file_path, index=False)