Toward precise localization of abnormal brain activity: 1d cnn on single voxel fmri time-series

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SUMMARY

A few studies have applied ALFF to the continuousstate design (Dong et_al, 2012; Zhang et_al, 2021). Machine Learning at Single Voxel Level for fMRI Currently, machine_learning on multiple voxels, e_g, multivoxel pattern analysis (MVPA) (Haxby et_al, 2001; Norman et_al, 2006), or even on the voxels of the whole brain (Zhang et_al, 2020a) has been widely used in fMRI studies. Most of these studies have reported more than 90% accuracy for either task fMRI decoding (Wang X. et_al, 2020) or RS-fMRI classification of brain disorders (Hojjati et_al, 2017; Zhang et_al, 2017). Some articles reported . . .

 



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