作者
Sebastian Moguilner, Agustina Birba, Sol Fittipaldi, Cecilia Gonzalez-Campo, Enzo Tagliazucchi, Pablo Reyes, Diana Matallana, Mario A Parra, Andrea Slachevsky, Gonzalo Farías, Josefina Cruzat, Adolfo García, Harris A Eyre, Renaud La Joie, Gil Rabinovici, Robert Whelan, Agustín Ibáñez
发表日期
2022/8/25
期刊
Journal of neural engineering
卷号
19
期号
4
页码范围
046048
出版商
IOP Publishing
简介
Objective
The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia highlight the critical role of biomarkers. Thus, novel cost-effective complementary approaches are required in clinical settings. Approach
We developed a novel framework based on a gradient boosting machine learning classifier, tuned by Bayesian optimization, on a multi-feature multimodal approach (combining demographic, neuropsychological, magnetic resonance imaging (MRI), and electroencephalography/functional MRI connectivity data) to characterize neurodegeneration using site harmonization and sequential feature selection. We assessed 54 bvFTD and 76 AD patients and 152 healthy controls (HCs) from a …学术搜索中的文章
S Moguilner, A Birba, S Fittipaldi, C Gonzalez-Campo… - Journal of neural engineering, 2022