ADHD - Astrophysics Data System

Highly Accurate FMRI ADHD Classification using time distributed multi modal 3D CNNs

"With these new technologies, it is possible to save the 3D spatial data of fMRI results. " It would be possible to improve the accuracy of 3D CNN classification of brain disorders by leveraging a 3D-GAN. A comparison will be made between a time-published single modal 3D CNN model for classification and the updated multi modal model with MRI results as well. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220511993S/abstract

The ADHD effects on partial opposites in trigonometric plots obtained from the EEG signals

Attention deficit hyperactivity disorder is a disorder that switches the high-frequency bands to the low-frequency bands by altering the brain's equivalent functions, according to the BIOS. We also investigated the presence of partial opposites in the trigonometric plots obtained from the EEG signals of children with and without ADHD, which have been collected under both conditional and eyes-closed conditions. By using the t-test results and the SVM classifiers, we found these characteristics to distinguish children with and without ADHD. Generally, the findings of this research, in addition to improving the separability of the ADHD children with a figure of merit of 72 percent, showed that ADHD influences the EEG behavior, meaning the larger EEG findings often occur more often than the smaller EEG ones. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022CSF...15812021Y/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions