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fmriprep/workflows/bold/t2s.py

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@@ -100,7 +100,7 @@ def init_bold_t2s_wf(
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workflow.__desc__ = f"""\
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A T2<sup>★</sup> map was estimated from the preprocessed EPI echoes using tedana's t2smap
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workflow [@tedana], by voxel-wise fitting the maximal number of echoes with reliable signal in
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workflow [@DuPre2021], by voxel-wise fitting the maximal number of echoes with reliable signal in
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that voxel to a monoexponential signal decay model with {fit_str}.
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The calculated T2<sup>★</sup> map was then used to optimally combine preprocessed BOLD across
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echoes following the method described in [@posse_t2s].

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