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JW
July 13, 2022 03:28PM
Dear AFNI experts,

I am preparing to analyze human connectome project DTI data and there are four different scans for each participant (scan_1_AP, scan_1_PA, scan_2_AP, and scan_2_PA). Scan 1 and 2 have different bvec and bval (please see below). For this case, could you please advise how to proceed the preprocessing? Should it be scan 1 and 2 separately or both scans should be concatenated from the beginning? Any help will be greatly appreciated.

Best,
JW

scan 1 bval

5 5 1490 2990 1495 3005 1500 2985 1495 3005 1490 2995 1490 2990 1500 2985 1500 5 3005 1490 2995 1500 3000 1495 3005 1490 2980 1505 2990 1500 3000 1490 3005 5 1505 3000 1490 2980 1495 2995 1500 2995 1505 2990 1495 3000 1495 3000 1485 5 3005 1500 2990 1505 2995 1495 2990 1490 3000 1500 3000 1505 2985 1500 2990 5 1505 3005 1495 3000 1505 3010 1500 3005 1490 2995 1490 2995 1500 3000 1490 5 2990 1500 2985 1490 2995 1495 2990 1490 2980 1500 3000 1490 3005 1500 2990 1500 3000

scan 2 bval

5 5 1490 2990 1495 3005 1500 2985 1495 3005 1490 2995 1490 2990 1500 2985 1500 5 3005 1490 2995 1500 3000 1495 3005 1490 2980 1505 2990 1500 3000 1490 3005 5 1505 3000 1490 2980 1495 2995 1500 2995 1505 2990 1495 3000 1495 3000 1485 5 3005 1500 2990 1505 2995 1495 2990 1490 3000 1500 3000 1505 2985 1500 2990 5 1505 3005 1495 3000 1505 3010 1500 3005 1490 2995 1490 2995 1500 3000 1490 5 2990 1500 2985 1490 2995 1495 2990 1490 2980 1500 3000 1490 3005 1500 2990 1500 3000

scan1 bvec

-0.518859 -0.518859 -0.543957 0.406557 0.740307 -0.142171 -0.209472 -0.903757 -0.92924 0.19377 0.281242 -0.348583 -0.0920103 -0.774945 0.63412 0.8202 -0.666187 -0.518859 0.475089 -0.64698 0.331967 -0.386406 -0.823932 -0.964731 0.289005 -0.121596 0.41469 -0.268383 0.971691 0.562356 0.643524 0.875184 -0.450757 -0.518859 0.18722 -0.744682 -0.743618 0.0523471 -0.19616 -0.0281317 -0.369339 -0.71006 -0.321522 -0.307654 -0.886756 -0.0944351 -0.82395 0.875606 0.589082 -0.518859 -0.523679 0.146933 -0.626985 0.19489 0.97879 0.711365 0.0864346 -0.360968 0.488084 0.989073 -0.695584 0.459253 -0.329017 0.114203 0.63213 -0.518859 -0.135621 0.6204 0.791274 -0.0431662 -0.553124 -0.723888 0.6151 -0.125432 0.536783 0.861353 -0.705562 -0.013637 0.402608 0.737892 0.0611009 -0.518859 -0.156948 -0.880268 0.463644 0.0451999 -0.982323 -0.849141 -0.404572 0.0616658 0.357763 -0.911517 0.370663 0.163547 0.699489 -0.476549 0.936875 0.482939 -0.170588
-0.564186 -0.564186 -0.072489 0.850088 -0.515663 0.422612 -0.921378 0.314685 -0.363791 -0.43492 0.129175 0.90586 -0.849498 -0.518469 -0.649379 0.0408156 -0.434373 -0.564186 0.225647 -0.589639 -0.862891 0.920868 0.461895 0.174837 0.893111 0.561047 0.365049 0.453285 0.230253 0.826781 -0.279363 -0.069295 0.615336 -0.564186 0.316992 -0.587168 0.26012 0.0202267 0.879912 -0.996342 0.787043 0.692798 -0.622978 -0.63869 -0.239512 -0.731212 0.565963 0.10642 -0.113746 -0.564186 0.164543 0.979989 -0.774696 -0.165139 -0.167114 0.649187 -0.818167 -0.579233 -0.615985 -0.0352818 -0.367331 -0.490168 0.0631856 -0.988501 -0.736403 -0.564186 0.167877 0.453685 0.584096 -0.912882 0.48182 0.307734 -0.778946 -0.37807 0.266712 0.507411 -0.244651 0.969534 0.840116 -0.519909 0.783509 -0.564186 -0.385975 -0.255702 0.654633 -0.670309 -0.000464533 0.419954 0.91048 0.347263 0.0254989 0.341311 0.928728 -0.939776 0.0233886 -0.772726 0.124557 -0.212883 0.642954
0.642245 0.642245 -0.835976 -0.334758 -0.43132 0.895091 0.327389 -0.290166 0.0645731 0.879374 -0.950903 0.240642 -0.519507 -0.361456 0.41976 -0.570619 0.606229 0.642245 0.850514 -0.483469 0.381073 0.0518855 0.328311 -0.19679 0.344717 -0.818805 -0.833529 0.850002 -0.0529201 0.0137315 0.712624 -0.478802 0.646668 0.642245 0.929766 0.317305 -0.615931 -0.998424 -0.432753 0.0806902 0.494117 -0.125878 0.713108 -0.705283 -0.395345 0.675582 0.02816 0.471157 -0.800028 0.642245 0.835874 0.134284 -0.0820774 0.966823 -0.118502 -0.269287 -0.568447 -0.730884 0.618334 -0.143143 0.617438 0.740825 -0.942208 0.0991113 -0.241084 0.642245 0.976434 0.639745 0.18088 0.405935 0.679635 0.617484 0.122044 0.91724 -0.800455 0.0245819 -0.665078 0.244577 0.363471 0.43036 -0.61837 0.642245 -0.90906 0.399682 -0.597068 -0.740704 -0.187192 -0.32031 -0.0857242 -0.935738 -0.933464 0.229444 0.00852093 -0.300122 0.71426 0.41928 -0.326727 0.849383 0.746666

scan 2 bvec
-0.518859 -0.518859 -0.979405 -0.21194 -0.586174 0.519795 -0.37478 0.887207 -0.449041 0.622674 0.740167 0.425013 -0.332431 0.447454 0.865605 -0.918311 0.383494 -0.518859 0.610917 0.386835 -0.13307 0.335778 -0.894216 0.119935 -0.557015 -0.801982 -0.171692 -0.770272 0.252081 0.296599 0.83462 0.293264 0.422017 -0.518859 0.937524 0.15781 0.609951 0.860793 -0.657083 0.416161 -0.550758 0.668922 0.0477522 -0.231679 -0.00351248 -0.0878857 -0.791746 -0.77277 0.271226 -0.518859 -0.580606 0.963779 0.225787 -0.681111 0.490727 -0.0615949 0.97115 0.704434 0.268306 -0.0836065 -0.175825 -0.797264 0.649898 0.556538 -0.537892 -0.518859 0.470253 0.366242 0.762028 0.0654087 -0.342746 0.717603 -0.504909 -0.75346 -0.164256 0.828637 0.9115 -0.134734 -0.168258 -0.993764 -0.567704 -0.518859 0.265301 0.932268 0.197911 -0.0745322 0.208086 0.138389 0.786833 0.890713 0.676003 -0.599013 -0.87828 -0.37511 -0.00393364 -0.250954 -0.495393 0.163019 0.577441 0.484283
-0.564186 -0.564186 -0.141325 0.70263 0.75964 0.724542 0.732099 -0.461176 -0.349506 0.112685 0.0893836 -0.311566 -0.939314 -0.771229 -0.0427326 -0.303725 -0.216561 -0.564186 0.767311 -0.88692 -0.148077 0.744643 0.205906 0.0572637 0.759007 -0.592959 -0.802461 0.29038 0.584398 0.445268 -0.184085 -0.679916 -0.395573 -0.564186 -0.345436 -0.96559 0.749748 0.378982 0.477712 0.446209 -0.618814 -0.563643 0.492376 -0.947774 0.954397 0.223198 -0.421986 -0.292571 -0.384786 -0.564186 0.813249 0.174707 -0.200622 0.724347 0.838551 -0.944772 -0.219723 -0.0416746 0.80279 -0.619952 0.902783 -0.460657 0.551671 -0.6522 0.0563164 -0.564186 0.049052 -0.537149 -0.606361 0.611585 -0.103442 -0.0981905 -0.836093 -0.632894 0.980532 -0.520372 0.364208 0.839385 0.744954 -0.0428737 -0.48371 -0.564186 0.219562 -0.16848 -0.978294 -0.0892946 0.966403 -0.833461 -0.599073 -0.22036 -0.426096 0.3008 -0.451403 -0.914148 0.565446 -0.823462 -0.618614 0.660974 -0.434062 -0.782036
0.642245 0.642245 -0.1442 -0.679259 0.281687 0.452606 -0.568833 -0.0134295 -0.822319 -0.774325 -0.666456 0.849877 0.0847235 -0.452759 0.498901 -0.253882 -0.897793 0.642245 -0.19497 0.252452 -0.979982 0.576854 0.397468 0.991129 -0.33711 0.0722789 -0.571471 0.567768 -0.77132 -0.844847 0.519156 -0.672094 -0.815735 0.642245 0.0415149 0.206717 0.256588 -0.339716 -0.583124 0.79228 0.560121 -0.484613 0.869072 0.219203 -0.298519 -0.970803 -0.441664 -0.563231 0.882256 0.642245 0.0390259 -0.201513 -0.953295 0.106815 0.236683 -0.321889 0.0926758 0.708545 -0.532485 0.780172 0.392514 0.390085 -0.522773 -0.514686 -0.841131 0.642245 -0.881168 0.759828 0.227244 0.788471 -0.933716 -0.689496 0.214512 -0.178167 0.107596 0.206334 0.191103 -0.526573 -0.645548 0.102937 -0.666136 0.642245 -0.938833 -0.320142 -0.0614157 0.993213 0.150882 -0.534968 -0.148341 0.397582 0.601217 0.742094 0.157666 -0.153704 -0.824776 0.508854 -0.609839 0.732487 -0.691485 0.392288
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Human Connectome Project DTI analysis

JW July 13, 2022 03:28PM