Open AccessTracking the Progression and Influence of Beta-Amyloid Plaques Using Percolation Centrality and Collective Influence Algorithm: A Study Using PET Images
Author(s) -
Gautam Kumar Baboo,
Raghav Prasad,
Pranav Mahajan,
Veeky Baths
Publication year - 2022
Publication title -
annals of neurosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 19
eISSN - 0976-3260
pISSN - 0972-7531
DOI - 10.1177/09727531221117633
Subject(s) - positron emission tomography , beta (programming language) , artificial intelligence , region of interest , computer science , psychology , centrality , neuroimaging , algorithm , medicine , neuroscience , mathematics , statistics , programming language
The study of brain networks, particularly the spread of disease, is made easier thanks to the network theory. The aberrant accumulation of beta-amyloid plaques and tau protein tangles in Alzheimer's disease causes disruption in brain networks. The evaluation scores, such as the mini-mental state examination (MMSE) and neuropsychiatric inventory questionnaire, which provide a clinical diagnosis, are affected by this build-up.