Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26182
Abstract: There is an increasing expectation that advanced, computationally expensive machine learning (ML) techniques, when applied to large population‐wide neuroimaging datasets, will help to uncover key differences in the human brain in health and disease. We… read more here.
Keywords: brain structural; machine learning; brain; sex age ... See more keywords
Robust Identification of Rich-Club Organization in Weighted and Dense Structural Connectomes
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DOI: 10.1007/s10548-018-0661-8
Abstract: The human brain is a complex network, in which some brain regions, denoted as ‘hub’ regions, play critically important roles. Some of these hubs are highly interconnected forming a rich-club organization, which has been identified… read more here.
Keywords: club; structural connectomes; club organizations; club organization ... See more keywords
Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes
Sign Up to like & getrecommendations! Published in 2024 at "Network Neuroscience"
DOI: 10.1162/netn_a_00368
Abstract: Abstract One way to increase the statistical power and generalizability of neuroimaging studies is to collect data at multiple sites or merge multiple cohorts. However, this usually comes with site-related biases due to the heterogeneity… read more here.
Keywords: structural connectomes; impact mri; acquisition bias; modeling impact ... See more keywords
Predictability of intelligence and age from structural connectomes
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0301599
Abstract: In this study, structural images of 1048 healthy subjects from the Human Connectome Project Young Adult study and 94 from ADNI-3 study were processed by an in-house tractography pipeline and analyzed together with pre-processed data… read more here.
Keywords: age; structural connectomes; intelligence age; predictability intelligence ... See more keywords