Jingxuan Bao

Oct 4, 2024 | nature.com | Junhao Wen |Ilya M. Nasrallah |Guray Erus |Jingxuan Bao |Andrew J. Saykin |Timothy J. Hohman | +11 more

AbstractAlzheimer’s disease (AD) is associated with heterogeneous atrophy patterns. We employed a semi-supervised representation learning technique known as Surreal-GAN, through which we identified two latent dimensional representations of brain atrophy in symptomatic mild cognitive impairment (MCI) and AD patients: the “diffuse-AD” (R1) dimension shows widespread brain atrophy, and the “MTL-AD” (R2) dimension displays focal medial temporal lobe (MTL) atrophy.

Mar 22, 2024 | nature.com | Junhao Wen |Bingxin Zhao |Guray Erus |Elizabeth Mamourian |Gyujoon Hwang |Jingxuan Bao | +5 more

AbstractThe complex biological mechanisms underlying human brain aging remain incompletely understood. This study investigated the genetic architecture of three brain age gaps (BAG) derived from gray matter volume (GM-BAG), white matter microstructure (WM-BAG), and functional connectivity (FC-BAG). We identified sixteen genomic loci that reached genome-wide significance (P-value < 5×10−8).

Jan 7, 2024 | nature.com | Zhijian Yang |Junhao Wen |Ahmed Abdulkadir |Guray Erus |Luigi Ferrucci |Sterling Johnson | +6 more

AbstractDisease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting disease subtypes that can be captured using MRI and machine learning methods. However, biological interpretability and treatment relevance are limited if the derived subtypes are not associated with genetic drivers or susceptibility factors.