Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—ENIGMA study in people with bipolar disorders …
SR McWhinney, J Hlinka, E Bakstein… - Human Brain …, 2024 - Wiley Online Library
Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which
are characterized not by alterations in a single region, but rather by variations across …
are characterized not by alterations in a single region, but rather by variations across …
Polygenic Risk Scores are Associated to Aβ-τ Protein Accumulation in Alzheimer's Disease
Alzheimer's (AD) is a complex and multi-domain neurodegenerative disease characterized
by amyloid-β (Aβ) and proteins aggregation holding both genotype and phenotype …
by amyloid-β (Aβ) and proteins aggregation holding both genotype and phenotype …
IG-GRD: A Model Based on Disentangled Graph Representation Learning for Imaging Genetic Data Fusion
Integrating imaging and genetic data provides a comprehensive approach to analyze brain
disorders from different perspectives, which has important implications for the early …
disorders from different perspectives, which has important implications for the early …
EXplainable Artificial Intelligence: enabling AI in neurosciences and beyond
F Cruciani - 2023 - iris.univr.it
The adoption of AI models in medicine and neurosciences has the potential to play a
significant role not only in bringing scientific advancements but also in clinical decision …
significant role not only in bringing scientific advancements but also in clinical decision …