Brain development from 1 to 6 years of age anchors a wide range of functional capabilities and carries early signs of neurodevelopmental disorders. However, quantitative models for depicting brain morphology changes and making individualized inferences are lacking, preventing the identification of early brain atypicality during this period.
Accurate recognition of children with language developmental delay.
We found that inter-subject variability in data impact the performance of temporal-concatenated ICA, a commonly used group-level ICA approach, to estimate the group-level default mode network (DMN).
We showed that increased inter-subject variability caused inaccurate estimation of DMN and strong dependence on the number-of-component setting in ICA.
This study calls for caution when applying TC-GICA to datasets expected to have large inter-individual variability, such as pooling different experimental groups of subjects
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