Replicable brain–phenotype associations require large-scale neuroimaging data
Numerous neuroimaging studies have investigated the neural basis of interindividual
differences but the replicability of brain–phenotype associations remains largely unknown …
differences but the replicability of brain–phenotype associations remains largely unknown …
Advances and challenges in neuroimaging-based pain biomarkers
Identifying neural biomarkers of pain has long been a central theme in pain neuroscience.
Here, we review the state-of-the-art candidates for neural biomarkers of acute and chronic …
Here, we review the state-of-the-art candidates for neural biomarkers of acute and chronic …
Replicability and generalizability in population psychiatric neuroimaging
Studies linking mental health with brain function in cross-sectional population-based
association studies have historically relied on small, underpowered samples. Given the …
association studies have historically relied on small, underpowered samples. Given the …
[HTML][HTML] A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Population-level modeling can define quantitative measures of individual aging by applying
machine learning to large volumes of brain images. These measures of brain age, obtained …
machine learning to large volumes of brain images. These measures of brain age, obtained …
Suboptimal phenotypic reliability impedes reproducible human neuroscience
Paragraph Biomarkers of behavior and psychiatric illness for cognitive and clinical
neuroscience remain out of reach–. Suboptimal reliability of biological measurements, such …
neuroscience remain out of reach–. Suboptimal reliability of biological measurements, such …
Reply to: Multivariate BWAS can be replicable with moderate sample sizes
Brain-wide association studies (BWAS)—which correlate individual differences in
phenotypic traits with measures of brain structure and function—have become a dominant …
phenotypic traits with measures of brain structure and function—have become a dominant …
[HTML][HTML] On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting
Reviews and meta-analyses have proved to be fundamental to establish neuroscientific
theories on intelligence. The prediction of intelligence using invivo neuroimaging data and …
theories on intelligence. The prediction of intelligence using invivo neuroimaging data and …
Concentration division for adsorption coefficient prediction using machine learning with Abraham descriptors: Data-splitting approach comparison and critical factors …
Z Qi, S Zhong, X Huang, Y Xu, H Zhang, B Shi - Carbon, 2024 - Elsevier
Abstract Machine learning (ML) including Abraham descriptors from polyparameter linear
free energy relationships (pp-LFERs) has been a popular method for the adsorption …
free energy relationships (pp-LFERs) has been a popular method for the adsorption …
MRI economics: Balancing sample size and scan duration in brain wide association studies
A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan time given
fixed resources. Here, we systematically investigate this trade-off in the context of brain-wide …
fixed resources. Here, we systematically investigate this trade-off in the context of brain-wide …
Prediction of cognitive performance differences in older age from multimodal neuroimaging data
C Krämer, J Stumme, L da Costa Campos, P Dellani… - Geroscience, 2024 - Springer
Differences in brain structure and functional and structural network architecture have been
found to partly explain cognitive performance differences in older ages. Thus, they may …
found to partly explain cognitive performance differences in older ages. Thus, they may …