Connectome transformer with anatomically inspired attention for Parkinson's diagnosis
Connectome transformer with anatomically inspired attention for Parkinson's diagnosis
复制标题
连接组变压器从解剖学角度激发帕金森氏症诊断的关注
DOI:
10.1145/3535508.3545544
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Yan, Pingkun
中科院分区:
文献类型:
--
作者:
Machado-Reyes, Diego;Kim, Mansu;Chao, Hanqing;Shen, Li;Yan, Pingkun
Parkinson's disease (PD) is the second most prevalent neurodegenerative disease in the United States. The structural or functional connectivity between regions of interest (ROIs) in the brain and their changes captured in brain connectomes could be potential biomarkers for PD. To effectively model the complex non-linear characteristic connectomic patterns related to PD and exploit the long-range feature interactions between ROIs, we propose a connectome transformer model for PD patient classification and biomarker identification. The proposed connectome transformer learns the key connectomic patterns by leveraging the global scope of the attention mechanism guided by an additional skip-connection from the input connectome and the local level focus of the CNN techniques. Our proposed model significantly outperformed the benchmarking models in the classification task and was able to visualize key feature interactions between ROIs in the brain.
DOI:
10.1038/s41531-018-0058-0
发表时间:
2018
期刊:
NPJ Parkinson's disease
影响因子:
--
作者:
Marras C;Beck JC;Bower JH;Roberts E;Ritz B;Ross GW;Abbott RD;Savica R;Van Den Eeden SK;Willis AW;Tanner CM;Parkinson’s Foundation P4 Group
通讯作者:
Parkinson’s Foundation P4 Group
影响因子:
14.5
作者:
Hacker, Carl D.;Perlmutter, Joel S.;Snyder, Abraham Z.
通讯作者:
Snyder, Abraham Z.
DOI:
--
发表时间:
2005
期刊:
Neuroscience 13・2
影响因子:
--
作者:
Yoshimura N;Kawamura M;Masaoka Y;Homma I
通讯作者:
Homma I