25 26 The analysis of the resting state data was performed with 99 subjects because functional data were not available for a single subject belonging to the young-to-mid-age group.
Structural and functional data are often difficult to integrate because of different identification numbers, different functional definitions, and the absence of a direct link between the two data sources.
Because a TF's binding does not necessarily suggest function, additional functional data is obviously useful to further improve the model's performance.
Functional data were preprocessed with SPM8 (Wellcome Department of Imaging Neuroscience, University College London, Institute of Neurology, London, UK).
Thus, valid functional data was available for 42 participants, while behavioral data was available for 49 participants.
All functional data were analyzed using FSL.
Functional data were not spatially averaged.
Functional data were coregistered to anatomical data per participant.
However, this approach was criticized by Arditi and Akçakaya [ 6] because most functional response data are more consistent with a type II (saturating) model than a type I (linear) model.
Because functional and biochemical data are not available for most rare mutations, these specimens can also be used to establish functional and biochemical correlations with rare CFTR genotypes, as also reported in other studies [ 12, 14, 16, 28, 32, 33].
