create timing files for fracback

curation/create_events/0back.txt

@@ -0,0 +1,60 @@
+33	3	1
+36	3	1
+39	3	1
+42	3	1
+45	3	1
+48	3	1
+51	3	1
+54	3	1
+57	3	1
+60	3	1
+63	3	1
+66	3	1
+69	3	1
+72	3	1
+75	3	1
+78	3	1
+81	3	1
+84	3	1
+87	3	1
+90	3	1
+309	3	1
+312	3	1
+315	3	1
+318	3	1
+321	3	1
+324	3	1
+327	3	1
+330	3	1
+333	3	1
+336	3	1
+339	3	1
+342	3	1
+345	3	1
+348	3	1
+351	3	1
+354	3	1
+357	3	1
+360	3	1
+363	3	1
+366	3	1
+609	3	1
+612	3	1
+615	3	1
+618	3	1
+621	3	1
+624	3	1
+627	3	1
+630	3	1
+633	3	1
+636	3	1
+639	3	1
+642	3	1
+645	3	1
+648	3	1
+651	3	1
+654	3	1
+657	3	1
+660	3	1
+663	3	1
+666	3	1

curation/create_events/1back.txt

@@ -0,0 +1,60 @@
+102	3	1
+105	3	1
+108	3	1
+111	3	1
+114	3	1
+117	3	1
+120	3	1
+123	3	1
+126	3	1
+129	3	1
+132	3	1
+135	3	1
+138	3	1
+141	3	1
+144	3	1
+147	3	1
+150	3	1
+153	3	1
+156	3	1
+159	3	1
+402	3	1
+405	3	1
+408	3	1
+411	3	1
+414	3	1
+417	3	1
+420	3	1
+423	3	1
+426	3	1
+429	3	1
+432	3	1
+435	3	1
+438	3	1
+441	3	1
+444	3	1
+447	3	1
+450	3	1
+453	3	1
+456	3	1
+459	3	1
+540	3	1
+543	3	1
+546	3	1
+549	3	1
+552	3	1
+555	3	1
+558	3	1
+561	3	1
+564	3	1
+567	3	1
+570	3	1
+573	3	1
+576	3	1
+579	3	1
+582	3	1
+585	3	1
+588	3	1
+591	3	1
+594	3	1
+597	3	1

curation/create_events/2back.txt

@@ -0,0 +1,60 @@
+171	3	1
+174	3	1
+177	3	1
+180	3	1
+183	3	1
+186	3	1
+189	3	1
+192	3	1
+195	3	1
+198	3	1
+201	3	1
+204	3	1
+207	3	1
+210	3	1
+213	3	1
+216	3	1
+219	3	1
+222	3	1
+225	3	1
+228	3	1
+240	3	1
+243	3	1
+246	3	1
+249	3	1
+252	3	1
+255	3	1
+258	3	1
+261	3	1
+264	3	1
+267	3	1
+270	3	1
+273	3	1
+276	3	1
+279	3	1
+282	3	1
+285	3	1
+288	3	1
+291	3	1
+294	3	1
+297	3	1
+471	3	1
+474	3	1
+477	3	1
+480	3	1
+483	3	1
+486	3	1
+489	3	1
+492	3	1
+495	3	1
+498	3	1
+501	3	1
+504	3	1
+507	3	1
+510	3	1
+513	3	1
+516	3	1
+519	3	1
+522	3	1
+525	3	1
+528	3	1

curation/create_events/create_fracback_events.py

@@ -0,0 +1,34 @@
+import pandas as pd
+from glob import glob
+
+# Parameters
+input_files = ["0back.txt", "1back.txt", "2back.txt", "instr.txt"]
+output_file = "task-fracback_acq-singleband_events.tsv"
+
+# Function to merge consecutive blocks
+def merge_blocks(df, trial_type):
+    df = df.sort_values("onset").reset_index(drop=True)
+    blocks = []
+    current_block = {"onset": df.loc[0, "onset"], "duration": df.loc[0, "duration"]}
+    for i in range(1, len(df)):
+        if df.loc[i, "onset"] == current_block["onset"] + current_block["duration"]:
+            current_block["duration"] += df.loc[i, "duration"]
+        else:
+            blocks.append(current_block)
+            current_block = {"onset": df.loc[i, "onset"], "duration": df.loc[i, "duration"]}
+    blocks.append(current_block)
+    return pd.DataFrame(blocks).assign(trial_type=trial_type)
+
+# Process all files and combine them
+all_events = []
+for file in input_files:
+    trial_type = file.split(".")[0]  # Extract trial type from file name
+    df = pd.read_csv(file, sep="\t", header=None, names=["onset", "duration", "ignore"])
+    merged_df = merge_blocks(df, trial_type)
+    all_events.append(merged_df)
+
+# Combine all trial types and save to a BIDS-compatible file
+events = pd.concat(all_events).sort_values("onset").reset_index(drop=True)
+events.to_csv(output_file, sep="\t", index=False)
+
+print(f"Events file created: {output_file}")

curation/create_events/instr.txt

@@ -0,0 +1,27 @@
+24	3	1
+27	3	1
+30	3	1
+93	3	1
+96	3	1
+99	3	1
+162	3	1
+165	3	1
+168	3	1
+231	3	1
+234	3	1
+237	3	1
+300	3	1
+303	3	1
+306	3	1
+393	3	1
+396	3	1
+399	3	1
+462	3	1
+465	3	1
+468	3	1
+531	3	1
+534	3	1
+537	3	1
+600	3	1
+603	3	1
+606	3	1