MRI
Sherlock

OpenNeuro Accession Number: ds001132Files: 117Size: 6.15GB

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Sherlock
Sherlock
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  •   dataset_description.json
  •   README
  •   task-freerecall_bold.json
  •   task-sherlockPart1_bold.json
  •   task-sherlockPart2_bold.json
  • derivatives
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README

This dataset is described in the paper: "Shared experience, shared memory: a common structure for brain activity during naturalistic recall" Janice Chen, Yuan Chang Leong, Kenneth A Norman, Uri Hasson. Paper available at https://www.nature.com/articles/nn.4450

Sixteen subjects watched the first 50 minutes of Episode 1 of BBC's Sherlock. (There are 17 described in the paper; 1 was removed for this dataset due to a small amount of missing data at the end of the movie scan.)

The movie was split into two parts of approximately equal length. Immediately afterward (a few minutes to set up the next scan, but no intervening task), subjects described aloud what they recalled from the movie. The movie was segmented into 50 scenes, and each subject's recall/description was segmented into the same scenes (for the scenes that they remembered). After preprocessing, subject-specific cropping of each file is required in order for the scene timestamps to apply.

Movie data: Scan 1 For each subject, crop the data in the following way (TRs, not seconds): Subj Crop from beginning Crop from end 1 20 7 2 20 7 3 20 6 4 6 13 5 20 8 6 20 7 7 20 6 8 20 5 9 20 4 10 20 6 11 20 3 12 20 5 13 20 5 14 20 6 15 20 3 16 20 5 This cropping results in data files that are 946 TRs for each subject.

Movie data: Scan 2 For each subject, crop the data in the following way (TRs, not seconds): Subj Crop from beginning Crop from end
1 20 11 2 20 7 3 20 7 4 6 5 5 20 7 6 20 7 7 20 10 8 20 7 9 20 8 10 20 8 11 20 6 12 20 7 13 20 6 14 20 4 15 20 4 16 20 6 This cropping results in data files that are 1030 TRs for each subject.

Recall data: One scan For each subject, crop the data in the following way (TRs, not seconds) (for negative values, add rather than crop TRs): Subj Crop from beginning Crop from end
1 5 0 2 3 0 3 3 0 4 3 0 5 -9 0 6 -9 0 7 -19 0 8 -12 0 9 -3 0 10 -5 0 11 -38 0 12 -56 0 13 -34 0 14 -20 0 15 -15 0 16 -33 0 This cropping aligns the data files to the audio recording, from which the timestamps were extracted.

Scene number and Onset/Offset of each MOVIE scene, in TRs, same for all subjects:

Movie Scan 1 Scene Onset Offset 1 1 26 2 27 35 3 36 55 4 56 86 5 88 109 6 110 130 7 132 143 8 145 157 9 158 172 10 174 192 11 194 203 12 206 225 13 227 313 14 315 361 15 364 399 16 400 503 17 508 525 18 527 534 19 536 615 20 616 633 21 635 641 22 643 679 23 680 697 24 700 747 25 749 868 26 873 891 27 892 945

Movie Scan 2 Scene Onset Offset 1 1 25 2 27 69 3 71 129 4 131 145 5 146 193 6 195 275 7 276 325 8 344 412 9 414 489 10 491 523 11 525 635 12 636 671 13 672 728 14 730 747 15 748 756 16 758 790 17 791 813 18 815 859 19 860 875 20 877 912 21 914 960 22 962 1000 23 1001 1030

Scene number (matching the movie) and Onset/Offset of each RECALL scene, in TRs, different for each subject:

Subject 1: Scene Onset Offset 2 2 7 3 8 11 5 12 17 8 18 47 14 48 68 15 84 113 16 114 173 18 195 210 19 174 194 22 211 220 24 221 233 30 234 257 32 258 267 34 268 295 35 296 311 36 312 337 37 338 353 38 354 382 39 383 394 40 395 408 41 409 423 43 424 439 44 440 449 45 450 478 48 479 498 49 499 507 50 509 520

Subject 2: Scene Onset Offset 2 6 18 3 19 24 5 25 44 13 114 179 14 273 292 15 68 99 16 101 110 19 180 217 22 218 249 24 250 261 25 293 333 26 334 354 29 355 375 30 399 488 34 489 517 35 518 549 36 550 634 37 635 653 38 654 713 39 714 738 41 739 751 44 785 820 45 821 860 49 861 883

Subject 3: Scene Onset Offset 2 6 20 3 21 25 4 26 34 5 35 54 8 55 88 9 89 97 10 98 107 11 108 118 13 180 221 14 129 152 16 153 179 16 222 245 19 246 273 22 274 299 24 300 325 29 326 345 30 346 355 33 356 423 34 424 461 35 462 475 36 476 501 37 502 506 38 507 540 40 541 565 41 566 575 42 576 581 43 586 589 44 590 608 45 609 621 46 622 643 47 644 676 48 677 697 49 698 713

Subject 4: Scene Onset Offset 2 3 12 3 13 30 4 31 47 5 48 66 8 95 111 9 112 113 10 114 119 11 120 125 12 126 139 13 140 158 14 67 94 15 168 189 16 190 217 19 218 233 21 240 247 22 248 271 23 234 239 24 272 280 25 281 284 27 285 299 30 300 319 33 320 339 34 340 347 35 348 363 36 364 371 37 372 378 38 379 388 39 389 395 40 396 400 43 401 407 44 408 414 45 415 425 47 426 435

Subject 5: Scene Onset Offset 2 14 28 3 29 37 4 38 53 5 54 64 7 65 81 8 82 93 9 94 109 10 110 118 11 119 135 13 234 273 14 140 158 15 159 191 16 192 233 18 537 551 19 276 291 22 292 305 24 306 330 25 331 381 26 382 425 27 426 447 30 448 464 32 529 536 33 465 511 34 512 528 35 552 603 36 604 620 37 621 632 38 633 645 39 646 659 40 660 705 42 706 712 43 718 722 44 723 734 45 735 759 46 760 778 47 810 825 48 779 809 49 826 850 50 851 880

Subject 6: Scene Onset Offset 2 18 25 3 26 31 5 32 48 7 144 160 8 161 179 9 180 188 10 189 207 11 208 213 12 221 247 14 49 79 15 80 85 16 86 143 19 254 293 22 296 327 23 333 344 24 345 358 27 374 429 30 359 373 31 430 463 33 464 516 36 598 616 37 617 620 38 621 625 39 626 627 40 628 634 45 551 571 46 635 652 48 520 550 49 572 597 50 653 673

Subject 7: Scene Onset Offset 2 28 37 3 38 42 5 44 59 7 61 75 8 76 77 9 79 87 11 88 97 12 98 105 13 106 149 14 151 164 14 192 201 16 166 191 16 202 240 19 242 277 21 280 289 22 290 340 23 342 354 24 355 373 25 374 426 26 427 448 27 450 507 29 511 530 30 531 531 31 534 599 32 602 622 34 624 647 35 648 667 36 668 695 37 696 701 38 703 731 39 766 789 40 732 762 42 798 802 43 791 797 44 804 821 45 823 830 46 831 848 47 849 878 48 880 910 48 931 949 49 911 928 50 950 1009

Subject 8: Scene Onset Offset 2 22 31 3 34 48 4 49 70 8 216 236 11 238 239 12 242 249 14 72 110 15 115 156 16 158 190 19 192 214 22 250 269 24 272 285 27 286 313 29 316 333 31 338 363 32 366 378 34 379 406 35 407 439 36 442 487 37 488 510 38 512 575 39 577 583 41 584 587 44 588 594 45 628 640 47 642 675 48 596 627 50 678 695

Subject 9: Scene Onset Offset 2 11 19 3 20 23 4 24 28 5 29 41 7 42 54 8 56 58 9 74 77 11 60 70 12 72 85 13 133 161 14 86 131 15 164 180 16 184 234 18 238 249 19 251 283 21 285 295 22 296 329 24 332 340 25 342 404 26 406 418 27 420 474 29 484 498 30 476 483 31 499 531 33 534 547 34 548 572 35 576 606 36 608 643 37 645 659 38 662 679 39 680 695 40 696 727 41 730 735 42 736 741 43 742 756 44 758 763 45 764 788 48 790 819 49 820 825 50 828 840

Subject 10: Scene Onset Offset 2 14 24 3 25 27 4 28 31 5 33 47 8 182 185 9 160 176 11 177 181 12 187 191 13 210 219 14 49 65 15 66 98 16 100 138 17 140 146 19 148 159 22 192 209 23 220 239 24 240 253 30 255 279 31 280 297 32 314 321 34 298 313 35 322 355 36 357 371 37 372 377 38 379 396 39 397 398 40 399 435 41 437 439 42 440 444 44 445 451 45 452 461 48 462 483 49 485 490 50 492 521

Subject 11: Scene Onset Offset 2 44 60 3 62 75 4 77 89 5 90 107 7 109 121 8 123 152 9 154 167 10 170 190 11 192 203 12 204 233 13 236 311 14 314 341 15 344 406 16 408 480 18 542 551 19 483 527 21 530 533 22 534 541 22 554 614 24 616 631 25 633 664 26 666 683 27 685 741 29 742 773 30 775 786 31 788 825 32 828 836 34 838 868 35 870 887 36 888 937 37 939 963 38 965 1006 38 1012 1040 39 1008 1011 41 1042 1050 42 1051 1056 44 1058 1073 45 1075 1111 48 1112 1166 50 1168 1223

Subject 12: Scene Onset Offset 1 67 109 2 112 123 3 124 130 4 132 157 5 159 203 6 530 535 7 208 225 8 227 232 8 244 249 9 234 243 10 252 262 11 264 273 12 276 312 13 314 409 14 420 486 15 412 414 15 488 527 16 538 640 17 830 839 18 643 651 19 653 710 20 712 717 21 722 737 22 738 783 22 814 821 23 784 801 24 804 813 24 823 837 25 839 940 25 840 857 27 942 1035 29 1036 1072 30 1074 1111 31 1113 1167 32 1170 1194 33 1196 1283 34 1284 1333 35 1336 1360 36 1366 1396 37 1397 1413 38 1419 1513 38 1562 1571 39 1518 1541 40 1542 1561 41 1572 1581 42 1761 1765 43 1583 1589 44 1598 1607 45 1608 1657 46 1766 1780 48 1659 1717 49 1718 1729 50 1730 1760 50 1782 1789 50 1818 1823

Subject 13: Scene Onset Offset 2 54 70 3 71 77 4 79 89 5 92 121 7 168 194 8 196 207 10 208 232 11 235 259 12 260 289 13 291 353 14 124 165 15 364 409 16 354 362 16 410 509 19 512 559 21 560 567 22 569 618 24 620 649 25 650 678 26 680 697 30 699 717 31 719 754 33 758 777 34 778 803 35 804 828 36 829 866 37 867 885 38 887 901 38 981 1017 39 903 937 40 938 979 42 1019 1030 43 1032 1041 44 1044 1057 45 1062 1077 46 1206 1227 47 1081 1093 48 1095 1145 49 1146 1205 50 1228 1275

Subject 14: Scene Onset Offset 8 22 45 11 48 55 13 58 133 15 164 202 16 136 163 16 204 253 17 257 261 19 263 289 22 293 323 24 325 339 27 342 415 30 421 442 31 445 470 32 474 484 33 487 511 34 512 521 35 524 541 36 544 563 37 565 575 38 578 618 38 664 675 39 620 640 40 644 663 44 677 695 45 698 749 46 752 771 48 774 797 49 798 810 50 813 827

Subject 15: Scene Onset Offset 2 20 25 3 32 34 5 26 31 5 36 54 7 56 64 8 65 66 9 68 69 11 97 113 13 71 95 14 118 133 15 135 169 16 170 235 16 446 457 18 274 280 19 236 255 21 256 262 22 263 273 22 281 323 23 324 329 24 330 356 25 364 413 27 358 363 27 414 427 27 574 589 30 429 445 30 459 471 31 473 520 34 522 553 35 554 571 36 591 621 37 623 635 38 636 652 39 654 674 40 676 699 41 702 710 42 712 717 43 718 737 44 739 745 45 746 769 46 792 808 48 770 790 49 810 833 50 835 866

Subject 16: Scene Onset Offset 2 41 51 3 52 67 4 69 81 5 83 109 7 112 136 8 138 146 8 384 387 9 147 163 10 165 185 11 186 197 11 388 390 12 199 201 12 211 221 12 391 393 13 202 210 13 223 251 14 254 289 15 292 333 16 334 383 19 395 424 22 426 461 25 464 567 27 568 628 29 629 637 30 648 703 31 704 737 32 739 754 33 756 813 34 816 833 35 834 887 35 1290 1296 36 889 968 37 970 989 38 990 1050 38 1212 1234 39 1052 1077 40 1078 1135 41 1137 1173 43 1174 1183 44 1184 1211 44 1235 1251 45 1254 1288 46 1298 1315 47 1350 1377 48 1317 1348 49 1378 1409 50 1412 1440

To check your results, here are the mean diagonal values for each subject's movie vs. recall (within-subject) correlation matrix of average scene patterns in the PCC_481vox_3mm (in derivatives folder) ROI: (same values as in the bioRxiv paper figure 2C, but in this dataset subject 5 was removed) (ROI taken from a resting-state connectivity atlas, Shirer et al. (2012) Cereb Cortex) (these values may vary a bit depending on your preprocessing parameters; I used 6mm smoothing) Subject R-value 1 0.0764 2 0.1857 3 0.1558 4 0.0924 5 0.2262 6 0.1007 7 0.1811 8 0.0861 9 0.1331 10 0.1429 11 0.2254 12 0.1737 13 0.1087 14 0.1386 15 0.0800 16 0.2540

Comments

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By aleph4@gmail.com - over 3 years ago
Is the exact stimulus available?
By markiewicz@stanford.edu - over 3 years ago
Are the original, non-skullstripped T1w images available for this dataset?