[PDF][PDF] Individual variation in functional topography of association networks in youth

Z Cui, H Li, CH Xia, B Larsen, A Adebimpe, GL Baum… - Neuron, 2020 - cell.com
The spatial distribution of large-scale functional networks on the cerebral cortex differs
between individuals and is particularly variable in association networks that are responsible …

Understanding vulnerability and adaptation in early brain development using network neuroscience

AM Graham, M Marr, C Buss, EL Sullivan… - Trends in neurosciences, 2021 - cell.com
Early adversity influences brain development and emerging behavioral phenotypes relevant
for psychiatric disorders. Understanding the effects of adversity before and after conception …

A precision functional atlas of personalized network topography and probabilities

RJM Hermosillo, LA Moore, E Feczko… - Nature …, 2024 - nature.com
Although the general location of functional neural networks is similar across individuals,
there is vast person-to-person topographic variability. To capture this, we implemented …

Sex differences in the functional topography of association networks in youth

S Shanmugan, J Seidlitz, Z Cui… - Proceedings of the …, 2022 - National Acad Sciences
Prior work has shown that there is substantial interindividual variation in the spatial
distribution of functional networks across the cerebral cortex, or functional topography …

Precision diagnostics based on machine learning-derived imaging signatures

C Davatzikos, A Sotiras, Y Fan, M Habes, G Erus… - Magnetic resonance …, 2019 - Elsevier
The complexity of modern multi-parametric MRI has increasingly challenged conventional
interpretations of such images. Machine learning has emerged as a powerful approach to …

Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization

S Han, Q Cui, R Zheng, S Li, B Zhou, K Fang… - Nature …, 2023 - nature.com
The high inter-individual heterogeneity in individuals with depression limits neuroimaging
studies with case-control approaches to identify promising biomarkers for individualized …

Dissociable multi-scale patterns of development in personalized brain networks

AR Pines, B Larsen, Z Cui, VJ Sydnor… - Nature …, 2022 - nature.com
The brain is organized into networks at multiple resolutions, or scales, yet studies of
functional network development typically focus on a single scale. Here, we derive …

Multi-band brain network analysis for functional neuroimaging biomarker identification

R Hu, Z Peng, X Zhu, J Gan, Y Zhu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The functional connectomic profile is one of the non-invasive imaging biomarkers in the
computer-assisted diagnostic system for many neuro-diseases. However, the diagnostic …

Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks

H Li, TD Satterthwaite, Y Fan - 2018 ieee 15th international …, 2018 - ieeexplore.ieee.org
Brain age prediction based on neuroimaging data could help characterize both the typical
brain development and neuropsychiatric disorders. Pattern recognition models built upon …

Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data

S Saxena, I Kinsella, S Musall, SH Kim… - PLoS computational …, 2020 - journals.plos.org
Widefield calcium imaging enables recording of large-scale neural activity across the mouse
dorsal cortex. In order to examine the relationship of these neural signals to the resulting …