Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in mri

HIGHLIGHTS

  • who: Matthew J. Leming from the Hospital, , th Street, Boston, MA, USA have published the article: Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI, in the Journal: (JOURNAL)
  • what: Graph analysis of class activation maps revealed no distinguishable network patterns for functional inputs but did reveal localized differences between groups in bilateral Heschl's gyrus and upper vermis for Conclusions: This study provides a simple means of feature extraction for inputting large numbers of MRIs into machine learning models. For this study, the authors . . .

     

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