,

Akram Jamali1,2,3,4, Tourandokht Baluchnejadmojarad5, Seyede Zohreh Jazaeri1,2,3,4

  • 1Department of Neurosciences, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.

BMC psychiatry
|March 5, 2025
PubMed
概括

无动于衷评估量表 (AES) 显示出在评估中风幸存者的无动于衷时具有很强的可靠性和有效性. 这三种版本都是有效的选工具,自评级的AES显示出良好的区分能力.