Randomizing Human Brain Function Representation for Brain Disease Diagnosis

• Published in: IEEE transactions on medical imaging Vol. 43; no. 7; pp. 2537 - 2546
• Main Authors: Liu, Mengjun, Zhang, Huifeng, Liu, Mianxin, Chen, Dongdong, Zhuang, Zixu, Wang, Xin, Zhang, Lichi, Peng, Daihui, Wang, Qian
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: adaptive selection module; Algorithms; Brain; Brain - diagnostic imaging; brain disease diagnosis; Brain Diseases - diagnostic imaging; Brain Diseases - physiopathology; Brain mapping; Diagnosis; Disease; Diseases; function representation; Functional magnetic resonance imaging; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Medical diagnosis; Neural networks; Randomizing; Representations; Task analysis; transformer; Transformers; Variable speed drives

Resting-state fMRI (rs-fMRI) is an effective tool for quantifying functional connectivity (FC), which plays a crucial role in exploring various brain diseases. Due to the high dimensionality of fMRI data, FC is typically computed based on the region of interest (ROI), whose parcellation relies on a...