Accelerating research on biological aging and mental health: Current challenges and future directions
Aging is associated with complex biological changes that can be accelerated, slowed, or
even temporarily reversed by biological and non-biological factors. This article focuses on …
even temporarily reversed by biological and non-biological factors. This article focuses on …
Gray matter age prediction as a biomarker for risk of dementia
The gap between predicted brain age using magnetic resonance imaging (MRI) and
chronological age may serve as a biomarker for early-stage neurodegeneration. However …
chronological age may serve as a biomarker for early-stage neurodegeneration. However …
Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders
The deviation between chronological age and age predicted using brain MRI is a putative
marker of overall brain health. Age prediction based on structural MRI data shows high …
marker of overall brain health. Age prediction based on structural MRI data shows high …
Population-based neuroimaging reveals traces of childbirth in the maternal brain
AMG de Lange, T Kaufmann… - Proceedings of the …, 2019 - National Acad Sciences
Maternal brain adaptations have been found across pregnancy and postpartum, but little is
known about the long-term effects of parity on the maternal brain. Using neuroimaging and …
known about the long-term effects of parity on the maternal brain. Using neuroimaging and …
[HTML][HTML] A comprehensive gene-centric pleiotropic association analysis for 14 psychiatric disorders with GWAS summary statistics
H Lu, J Qiao, Z Shao, T Wang, S Huang, P Zeng - BMC medicine, 2021 - Springer
Background Recent genome-wide association studies (GWASs) have revealed the
polygenic nature of psychiatric disorders and discovered a few of single-nucleotide …
polygenic nature of psychiatric disorders and discovered a few of single-nucleotide …
Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis
Brain-predicted age difference scores are calculated by subtracting chronological age from
'brain'age, which is estimated using neuroimaging data. Positive scores reflect accelerated …
'brain'age, which is estimated using neuroimaging data. Positive scores reflect accelerated …
[HTML][HTML] Cross-sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis
EA Høgestøl, T Kaufmann, GO Nygaard… - Frontiers in …, 2019 - frontiersin.org
Multiple sclerosis (MS) is an inflammatory disorder of the central nervous system. By
combining longitudinal MRI-based brain morphometry and brain age estimation using …
combining longitudinal MRI-based brain morphometry and brain age estimation using …
[HTML][HTML] Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry
Multimodal imaging enables sensitive measures of the architecture and integrity of the
human brain, but the high-dimensional nature of advanced brain imaging features poses …
human brain, but the high-dimensional nature of advanced brain imaging features poses …
[HTML][HTML] Ensemble learning of convolutional neural network, support vector machine, and best linear unbiased predictor for brain age prediction: Aramis contribution to …
We ranked third in the Predictive Analytics Competition (PAC) 2019 challenge by achieving
a mean absolute error (MAE) of 3.33 years in predicting age from T1-weighted MRI brain …
a mean absolute error (MAE) of 3.33 years in predicting age from T1-weighted MRI brain …
Anatomical context improves deep learning on the brain age estimation task
Deep learning has shown remarkable improvements in the analysis of medical images
without the need for engineered features. In this work, we hypothesize that deep learning is …
without the need for engineered features. In this work, we hypothesize that deep learning is …