Investigation of quantitative synthetic MRI in the evaluation of attention-deficit/hyperactivity disorder.

Nevertheless, the correlation results did not reach statistical significance after false discovery rate (FDR) correction.

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Three main findings were obtained: (I) the multiparametric quantitative values of gray and white matter derived from SyMRI demonstrated good classification performance across different machine learning algorithms; (II) the gray matter regions with high discriminative power were mainly distributed in the frontal, temporal lobes and cerebellum, and white matter tracts with high discriminative power were primarily involved the corpus callosum, frontostriatal tracts, corticospinal tract and cingulum; (III) a nominally significant correlation was found between T2 value of the left cingulum and the concentration index in ADHD, though it did not survive correction for multiple correction.

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