Would be correct to calculate the mean of these data?<br><br>And regarding the file filtered_func_data.nii.gz...which one I should use? The one outside the reg_standard folder or the one inside this folder...and why?<br><br>

Many thanks and sorry for this second email.<br>Kind regards,<br>Rosalia.<br><br><div class="gmail_quote">2013/8/10 Rosalia Dacosta Aguayo <span dir="ltr">&lt;<a href="mailto:[log in to unmask]" target="_blank"><a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind1308%26L%3DFSL%26E%3Dquoted-printable%26P%3D1908359%26B%3D--001a11c3e7c829b74904e397707a%26T%3Dtext%252Fhtml%3B%2520charset%3DISO-8859-1%26pending%3D" target="_parent" >[log in to unmask]</a></a>&gt;</span><br>

<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear FSL experts,<br><br>I am calculating time-series from rois in native space with the following command:<b><span style="color:rgb(51,51,255)"><i> fslmeants -i filtered_fun_data.nii.gz -c 35 47 21 (these coordinates are in native space)</i></span></b><br>


<br>And the results are:<br><br>478.973785 <br>478.695160 <br>477.589355 <br>476.346680 <br>475.975494 <br>476.119537 <br>476.348694 <br>477.038147 <br>477.223907 <br>475.027405 <br>471.336121 <br>469.278412 <br>469.608887 <br>


471.024811 <br>473.524719 <br>476.610382 <br>477.572327 <br>475.736542 <br>473.416473 <br>471.889069 <br>470.986847 <br>470.363312 <br>469.038116 <br>466.018890 <br>462.244171 <br>460.888916 <br>462.911530 <br>464.906738 <br>


464.405518 <br>463.657471 <br>465.671082 <br>469.458038 <br>471.819733 <br>471.592010 <br>470.179504 <br>468.659912 <br>466.466736 <br>464.030426 <br>463.360565 <br>464.686127 <br>466.126862 <br>466.782593 <br>466.982849 <br>


466.344635 <br>465.327484 <br>465.582703 <br>467.263916 <br>469.202545 <br>470.424438 <br>470.802826 <br>471.125824 <br>471.462311 <br>471.213196 <br>471.157776 <br>471.874390 <br>472.366394 <br>472.866669 <br>475.176361 <br>


479.282837 <br>482.233521 <br>481.192902 <br>477.124084 <br>473.803406 <br>472.988342 <br>473.633392 <br>474.302612 <br>474.189789 <br>473.788788 <br>474.753937 <br>477.280029 <br>478.663696 <br>477.187927 <br>474.941345 <br>


473.858246 <br>473.200836 <br>472.914917 <br>473.686859 <br>474.333557 <br>474.223846 <br>474.208618 <br>474.065887 <br>473.099365 <br>471.543213 <br>470.965759 <br>472.551910 <br>474.464630 <br>474.140686 <br>472.641113 <br>


472.939178 <br>474.234406 <br>473.771667 <br>471.904144 <br>470.874512 <br>471.414001 <br>471.628113 <br>470.095917 <br>467.926086 <br>466.223663 <br>466.242737 <br>468.945068 <br>471.951141 <br>473.008362 <br>473.780365 <br>


475.464203 <br>475.603394 <br>472.775421 <br>469.771606 <br>469.234528 <br>470.447205 <br>472.229919 <br>474.037201 <br>474.231323 <br>472.435577 <br>470.494141 <br>469.046173 <br>467.891205 <br>467.567505 <br>467.672150 <br>


467.243591 <br>466.525848 <br>466.554810 <br>467.620392 <br>468.640106 <br>468.766693 <br>467.942322 <br>466.483643 <br>466.123962 <br>467.923706 <br>469.345947 <br>468.273621 <br>467.389679 <br>469.666779 <br>472.973999 <br>


473.739532 <br>472.263672 <br>470.971130 <br>470.431549 <br>469.692017 <br>468.779083 <br>468.455872 <br>468.308594 <br>467.544952 <br>467.688751 <br>470.304718 <br>472.513885 <br>470.827637 <br>467.630585 <br>466.951172 <br>


467.799500 <br>467.486908 <br>466.654968 <br>467.104553 <br>468.452972 <br>469.469696 <br>469.790710 <br>469.041534 <br>467.343414 <br>465.781464 <br>464.596130 <br>463.546661 <br>463.762054 <br>465.510742 <br>465.990753 <br>


463.658783 <br>461.718109 <br>463.819427 <br>468.150574 <br>470.072357 <br>469.700836 <br>470.670502 <br>472.660400 <br>472.543030 <br>471.190216 <br>471.753510 <br>473.058167 <br>472.127319 <br>470.849670 <br>472.946381 <br>


477.505096 <br>480.159698 <br>479.291992 <br>477.970795 <br>478.475586 <br>478.541962 <br>476.189941 <br>473.855255 <br>473.770020 <br>474.586243 <br>474.791138 <br>474.862640 <br>475.694977 <br>476.635284 <br>475.724762 <br>


472.485138 <br>469.297241 <br>468.750580 <br>470.484589 <br>472.250885 <br>473.319366 <br>474.270294 <br>475.149445 <br>475.544739 <br>474.486725 <br>471.900574 <br>470.598358 <br>472.675079 <br>475.223358 <br>474.806488 <br>


472.762604 <br>471.994324 <br>472.506378 <br>472.861847 <br>473.415649 <br>474.959290 <br>475.725067 <br>473.544952 <br>469.581116 <br>466.883423 <br>466.664795 <br>467.852997 <br>469.193573 <br>469.662598 <br>468.341553 <br>


466.050812 <br>464.945465 <br>465.723328 <br>467.851868 <br>470.890686 <br>473.719116 <br>475.018402 <br>474.686035 <br>472.937744 <br>469.581482 <br>465.493835 <br><br>I am sorry but I do not know what to do with such quantity of data.<br>


<br>By the other hand, ICA generated two files with the same name &quot;filtered_func_data.nii.gz. You can acces to on of them directly, but the other one is in the reg_standard folder. I do not know which of them I should use. They have different size...so I guess they are not the same files. Thinking about I wanted native maps of every subject, I chose the one which is outside the reg_standard folder. Anyway, the two files give me this enormous quantity of data and I do not really know how to manage it and how to introduce to it to my database, taking into account that these time-series belongs to only one roi in native space.<br>


<br>Any helping with this would be greatly appreciate.<br>Thank you for your time.<br>Yours sincerely,<br>Rosalia.<br><br>
</blockquote></div><br>