All participant-runs remain available for the exploratory analysis, including those with movement or coverage flags. Anatomical coverage and motion differ across recordings, so apparent network differences should be interpreted alongside these checks.
Choose a participant and run, inspect the cortical coverage and signal traces, and compare flagged recordings with the rest of the cohort. A preparation flag points to a limitation to inspect; it is not a test of a participant’s brain function.
The highest mean movement is V015, run 2 (0.314 mm mean FD). This is an inspection priority, not an automatic exclusion.
15 participants · 60 runs · 9360 volumes · 100 cortical ROIs. All requested participant-runs are accounted for. No recording was excluded on the basis of motion or coverage flags.
129 frames exceed the 0.5 mm framewise-displacement inspection threshold. 19 runs have at least one flagged frame. These frames remain in the signals. The lowest parcel mask coverage is 66.7%; 40 runs contain parcels below the 80% coverage inspection threshold.
Coverage is anatomical mask overlap, not activation confidence. Numerical agreement with publisher registration images checks the transformation conventions; it does not replace visual alignment review. Motion regression does not eliminate all motion effects.

Three MNI-coordinate slices show the first saved BOLD volume with Schaefer parcel boundaries. This is an inspection aid, not an alignment-accuracy score or a replacement for full-volume review. Spatial normalization is affine only.
| record_id | subject | run | frames | rois | tr_seconds | min_coverage | low_coverage_parcels | mean_fd_mm | flagged_frames | constant_rois |
|---|---|---|---|---|---|---|---|---|---|---|
| V001_task-objectcategories_run-1 | V001 | 1 | 156 | 100 | 2.000001 | 0.666667 | 2 | 0.074265 | 0 | 0 |
| V001_task-objectcategories_run-2 | V001 | 2 | 156 | 100 | 2.000001 | 0.666667 | 2 | 0.091683 | 0 | 0 |
| V001_task-objectcategories_run-3 | V001 | 3 | 156 | 100 | 2.000001 | 0.666667 | 2 | 0.098416 | 0 | 0 |
| V001_task-objectcategories_run-4 | V001 | 4 | 156 | 100 | 2.000001 | 0.666667 | 2 | 0.092790 | 0 | 0 |
| V002_task-objectcategories_run-1 | V002 | 1 | 156 | 100 | 2.000001 | 0.682635 | 1 | 0.097036 | 0 | 0 |
| V002_task-objectcategories_run-2 | V002 | 2 | 156 | 100 | 2.000001 | 0.682635 | 1 | 0.117722 | 0 | 0 |
| V002_task-objectcategories_run-3 | V002 | 3 | 156 | 100 | 2.000001 | 0.682635 | 1 | 0.129444 | 0 | 0 |
| V002_task-objectcategories_run-4 | V002 | 4 | 156 | 100 | 2.000001 | 0.682635 | 1 | 0.125827 | 3 | 0 |
| V003_task-objectcategories_run-1 | V003 | 1 | 156 | 100 | 2.000001 | 0.775178 | 1 | 0.120454 | 0 | 0 |
| V003_task-objectcategories_run-2 | V003 | 2 | 156 | 100 | 2.000001 | 0.775178 | 1 | 0.115653 | 0 | 0 |
| V003_task-objectcategories_run-3 | V003 | 3 | 156 | 100 | 2.000001 | 0.775178 | 1 | 0.107969 | 0 | 0 |
| V003_task-objectcategories_run-4 | V003 | 4 | 156 | 100 | 2.000001 | 0.775178 | 1 | 0.101676 | 0 | 0 |
| V004_task-objectcategories_run-1 | V004 | 1 | 156 | 100 | 2.000001 | 0.895238 | 0 | 0.136386 | 0 | 0 |
| V004_task-objectcategories_run-2 | V004 | 2 | 156 | 100 | 2.000001 | 0.895238 | 0 | 0.146407 | 0 | 0 |
| V004_task-objectcategories_run-3 | V004 | 3 | 156 | 100 | 2.000001 | 0.895238 | 0 | 0.150857 | 1 | 0 |
| V004_task-objectcategories_run-4 | V004 | 4 | 156 | 100 | 2.000001 | 0.895238 | 0 | 0.155847 | 0 | 0 |
| V005_task-objectcategories_run-1 | V005 | 1 | 156 | 100 | 2.000001 | 0.874251 | 0 | 0.116714 | 0 | 0 |
| V005_task-objectcategories_run-2 | V005 | 2 | 156 | 100 | 2.000001 | 0.874251 | 0 | 0.121575 | 0 | 0 |
| V005_task-objectcategories_run-3 | V005 | 3 | 156 | 100 | 2.000001 | 0.874251 | 0 | 0.196687 | 6 | 0 |
| V005_task-objectcategories_run-4 | V005 | 4 | 156 | 100 | 2.000001 | 0.874251 | 0 | 0.179344 | 1 | 0 |
| V006_task-objectcategories_run-1 | V006 | 1 | 156 | 100 | 2.000001 | 0.698881 | 3 | 0.078593 | 0 | 0 |
| V006_task-objectcategories_run-2 | V006 | 2 | 156 | 100 | 2.000001 | 0.698881 | 3 | 0.078808 | 0 | 0 |
| V006_task-objectcategories_run-3 | V006 | 3 | 156 | 100 | 2.000001 | 0.698881 | 3 | 0.066073 | 0 | 0 |
| V006_task-objectcategories_run-4 | V006 | 4 | 156 | 100 | 2.000001 | 0.698881 | 3 | 0.072888 | 0 | 0 |
| V007_task-objectcategories_run-1 | V007 | 1 | 156 | 100 | 2.000001 | 0.720070 | 2 | 0.095435 | 0 | 0 |
| V007_task-objectcategories_run-2 | V007 | 2 | 156 | 100 | 2.000001 | 0.720070 | 2 | 0.087106 | 0 | 0 |
| V007_task-objectcategories_run-3 | V007 | 3 | 156 | 100 | 2.000001 | 0.720070 | 2 | 0.070966 | 0 | 0 |
| V007_task-objectcategories_run-4 | V007 | 4 | 156 | 100 | 2.000001 | 0.720070 | 2 | 0.089697 | 0 | 0 |
| V008_task-objectcategories_run-1 | V008 | 1 | 156 | 100 | 2.000001 | 0.688623 | 7 | 0.144455 | 1 | 0 |
| V008_task-objectcategories_run-2 | V008 | 2 | 156 | 100 | 2.000001 | 0.688623 | 7 | 0.144012 | 1 | 0 |
| V008_task-objectcategories_run-3 | V008 | 3 | 156 | 100 | 2.000001 | 0.688623 | 7 | 0.179320 | 4 | 0 |
| V008_task-objectcategories_run-4 | V008 | 4 | 156 | 100 | 2.000001 | 0.688623 | 7 | 0.172459 | 1 | 0 |
| V009_task-objectcategories_run-1 | V009 | 1 | 156 | 100 | 2.000001 | 0.882943 | 0 | 0.079884 | 0 | 0 |
| V009_task-objectcategories_run-2 | V009 | 2 | 156 | 100 | 2.000001 | 0.882943 | 0 | 0.079795 | 0 | 0 |
| V009_task-objectcategories_run-3 | V009 | 3 | 156 | 100 | 2.000001 | 0.882943 | 0 | 0.079484 | 0 | 0 |
| V009_task-objectcategories_run-4 | V009 | 4 | 156 | 100 | 2.000001 | 0.882943 | 0 | 0.077730 | 0 | 0 |
| V010_task-objectcategories_run-1 | V010 | 1 | 156 | 100 | 2.000001 | 0.720559 | 2 | 0.086172 | 0 | 0 |
| V010_task-objectcategories_run-2 | V010 | 2 | 156 | 100 | 2.000001 | 0.720559 | 2 | 0.108474 | 0 | 0 |
| V010_task-objectcategories_run-3 | V010 | 3 | 156 | 100 | 2.000001 | 0.720559 | 2 | 0.097351 | 0 | 0 |
| V010_task-objectcategories_run-4 | V010 | 4 | 156 | 100 | 2.000001 | 0.720559 | 2 | 0.113597 | 0 | 0 |
| V011_task-objectcategories_run-1 | V011 | 1 | 156 | 100 | 2.000001 | 0.892606 | 0 | 0.150016 | 5 | 0 |
| V011_task-objectcategories_run-2 | V011 | 2 | 156 | 100 | 2.000001 | 0.892606 | 0 | 0.195344 | 6 | 0 |
| V011_task-objectcategories_run-3 | V011 | 3 | 156 | 100 | 2.000001 | 0.892606 | 0 | 0.214669 | 5 | 0 |
| V011_task-objectcategories_run-4 | V011 | 4 | 156 | 100 | 2.000001 | 0.892606 | 0 | 0.211564 | 9 | 0 |
| V012_task-objectcategories_run-1 | V012 | 1 | 156 | 100 | 2.000001 | 0.762058 | 1 | 0.147077 | 0 | 0 |
| V012_task-objectcategories_run-2 | V012 | 2 | 156 | 100 | 2.000001 | 0.762058 | 1 | 0.146244 | 0 | 0 |
| V012_task-objectcategories_run-3 | V012 | 3 | 156 | 100 | 2.000001 | 0.762058 | 1 | 0.160331 | 1 | 0 |
| V012_task-objectcategories_run-4 | V012 | 4 | 156 | 100 | 2.000001 | 0.762058 | 1 | 0.142375 | 0 | 0 |
| V013_task-objectcategories_run-1 | V013 | 1 | 156 | 100 | 2.000001 | 0.712575 | 2 | 0.139869 | 3 | 0 |
| V013_task-objectcategories_run-2 | V013 | 2 | 156 | 100 | 2.000001 | 0.712575 | 2 | 0.107337 | 0 | 0 |
| V013_task-objectcategories_run-3 | V013 | 3 | 156 | 100 | 2.000001 | 0.712575 | 2 | 0.124915 | 0 | 0 |
| V013_task-objectcategories_run-4 | V013 | 4 | 156 | 100 | 2.000001 | 0.712575 | 2 | 0.108973 | 0 | 0 |
| V014_task-objectcategories_run-1 | V014 | 1 | 156 | 100 | 2.000001 | 0.784431 | 1 | 0.114772 | 1 | 0 |
| V014_task-objectcategories_run-2 | V014 | 2 | 156 | 100 | 2.000001 | 0.784431 | 1 | 0.092022 | 0 | 0 |
| V014_task-objectcategories_run-3 | V014 | 3 | 156 | 100 | 2.000001 | 0.784431 | 1 | 0.089725 | 0 | 0 |
| V014_task-objectcategories_run-4 | V014 | 4 | 156 | 100 | 2.000001 | 0.784431 | 1 | 0.093575 | 0 | 0 |
| V015_task-objectcategories_run-1 | V015 | 1 | 156 | 100 | 2.000001 | 0.906736 | 0 | 0.281217 | 20 | 0 |
| V015_task-objectcategories_run-2 | V015 | 2 | 156 | 100 | 2.000001 | 0.906736 | 0 | 0.313535 | 22 | 0 |
| V015_task-objectcategories_run-3 | V015 | 3 | 156 | 100 | 2.000001 | 0.906736 | 0 | 0.309612 | 22 | 0 |
| V015_task-objectcategories_run-4 | V015 | 4 | 156 | 100 | 2.000001 | 0.906736 | 0 | 0.305653 | 17 | 0 |
Normalization is affine, not nonlinear. Slice-timing and susceptibility-distortion correction histories remain unestablished. The current nuisance model uses six motion regressors, detrending and a 0.008 Hz high-pass; no low-pass, task, global-signal, WM or CSF regression is added.
A shared cohort model and participant-balanced task summaries are now available in the analysis tabs. Anatomical overlays, motion–expression relationships and participant influence require review before stronger conclusions.