HIGHLIGHTS
- who: Zhaobin Wang from the (UNIVERSITY) have published the paper: Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study, in the Journal: (JOURNAL) of 22/Dec/2022
- what: The aims of this study are: to compare the classification performance of different classifiers on different features and_(2) to identify biomarkers (brain regions and pairwise connectivity) containing discriminative power of the classification of ADHD. The authors propose that classification models on HOFCs and optimized SR will achieve better classification performance than traditional measures, and the identified neuroimaging biomarkers . . .
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