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@@ -83,7 +83,7 @@ More information on DataLad and how to use it can be found in the DataLad Handbo
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# download 4D fMRI data (and motion correction parameters of the movie)
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datalad get inputs/studyforrest-data-aligned/sub-??/in_bold3Tp2/sub-??_task-a?movie_run-?_bold*.*
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- # install subdataset that provides the original 7 Tesla data to get the motion correction parameters of the audio-descriptio
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+ # install subdataset that provides the original 7 Tesla data to get the motion correction parameters of the audio-description
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datalad install -d . -s juseless.inm7.de:/data/project/studyforrest/collection/phase1 inputs/phase1
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datalad get inputs/phase1/sub???/BOLD/task001_run00?/bold_dico_moco.txt
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@@ -102,7 +102,7 @@ More information on DataLad and how to use it can be found in the DataLad Handbo
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datalad get inputs/studyforrest-speechannotation/annotation/fg_rscut_ad_ger_speech_tagged.tsv
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### segmenting of continuous annotations
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- # segment the location annotation using timings of the audio-visual movie segments
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+ # segment the annotation of cuts and locations using timings of the audio-visual movie segments
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datalad run \
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-i inputs/studyforrest-data-annotations/researchcut/locations.tsv \
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-o events/segments \
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@@ -111,7 +111,7 @@ More information on DataLad and how to use it can be found in the DataLad Handbo
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avmovie avmovie \
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'{outputs}'
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- # segment the speech annotation using timings of the audio-description segments
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+ # segment the annotation of speech using timings of the audio-description segments
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datalad run \
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-i inputs/studyforrest-speechannotation/annotation/fg_rscut_ad_ger_speech_tagged.tsv \
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-o events/segments \
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@@ -288,7 +288,7 @@ More information on DataLad and how to use it can be found in the DataLad Handbo
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-m "for audio analysis (individuals), generate individual 2nd lvl design files from template" \
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"./code/generate_2nd-lvl-design_audio-ppa-ind.sh"
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-### manually add bash script that handles createn custom standard space templates & matrices for FEAT
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+### manually add bash script that handles custom standard space templates & matrices for FEAT
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datalad save -m "add script that add templates & transformation matrices to 1st lvl result directories of Feat"
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### run the analyses via condor_submit on a computer cluster & manually save results
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