Preprocessing of rs-fMRI Data

The rs‐fMRI data underwent preprocessing using SPM12 (Welcome Department of Imaging Neuroscience, UK, http://www.fil.ion.ucl.ac.uk/spm/) within MATLAB R2020b (MathWorks Inc., Sherborn, MA, USA). We employed a standard preprocessing pipeline (including realignment, reslicing, co‐registration, segmentation, normalization, and smoothing) similar to that described in our previous work (see Roger et al., 2020 (link)) with specific details mentioned in Appendix S1.

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Guichet C., Banjac S., Achard S., Mermillod M, & Baciu M. (2024). Modeling the neurocognitive dynamics of language across the lifespan. Human Brain Mapping, 45(5), e26650.

Publication 2024

MATLAB R2020b

Corresponding Organization :

Other organizations : Centre National de la Recherche Scientifique, Université Grenoble Alpes, Laboratoire Jean Kuntzmann

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Variable analysis

independent variables

None explicitly mentioned

dependent variables

Rs-fMRI data

control variables

Preprocessing pipeline (including realignment, reslicing, co-registration, segmentation, normalization, and smoothing) similar to that described in previous work (Roger et al., 2020)

positive controls

None specified

negative controls

None specified

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