Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium

JY Yun, PSW Boedhoe, C Vriend, N Jahanshad, Y Abe… - Brain, 2020 - academic.oup.com
Brain structural covariance networks reflect covariation in morphology of different brain
areas and are thought to reflect common trajectories in brain development and maturation …

[HTML][HTML] Age-related decline in the brain: a longitudinal study on inter-individual variability of cortical thickness, area, volume, and cognition.

S Sele, F Liem, S Mérillat, L Jäncke - Neuroimage, 2021 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) studies have shown that cortical volume
declines with age. Although volume is a multiplicative measure consisting of thickness and …

[HTML][HTML] A cross-sectional and longitudinal study of human brain development: The integration of cortical thickness, surface area, gyrification index, and cortical …

H Kalantar-Hormozi, R Patel, A Dai, J Ziolkowski… - NeuroImage, 2023 - Elsevier
Brain maturation studies typically examine relationships linking a single morphometric
feature with cognition, behavior, age, or other demographic characteristics. However, the …

Gray and White Matter Metrics Demonstrate Distinct and Complementary Prediction of Differences in Cognitive Performance in Children: Findings from ABCD (N …

LC Michel, EM McCormick, RA Kievit - Journal of Neuroscience, 2024 - Soc Neuroscience
Individual differences in cognitive performance in childhood are a key predictor of significant
life outcomes such as educational attainment and mental health. Differences in cognitive …

Napping and circadian sleep–wake regulation during healthy aging

M Deantoni, M Reyt, M Baillet, M Dourte, S De Haan… - Sleep, 2024 - academic.oup.com
Abstract Study Objectives Daytime napping is frequently reported among the older
population and has attracted increasing attention due to its association with multiple health …

Brain age prediction with morphological features using deep neural networks: Results from predictive analytic competition 2019

A Lombardi, A Monaco, G Donvito, N Amoroso… - Frontiers in …, 2021 - frontiersin.org
Morphological changes in the brain over the lifespan have been successfully described by
using structural magnetic resonance imaging (MRI) in conjunction with machine learning …

Deciphering the network effects of deep brain stimulation in Parkinson's disease

G Gonzalez-Escamilla, N Koirala, M Bange… - Neurology and …, 2022 - Springer
Introduction Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established
therapy for Parkinson's disease (PD). However, a more detailed characterization of the …

Sex differences in cortical morphometry and white matter microstructure during brain aging and their relationships to cognition

F Sang, Y Chen, K Chen, M Dang, S Gao… - Cerebral …, 2021 - academic.oup.com
Abstract Changes in brain structure are associated with aging, and accompanied by the
gradual deterioration of cognitive functions, which manifests differently in males and …

[HTML][HTML] The interplay between gray matter and white matter neurodegeneration in subjective cognitive decline

N Cedres, P Diaz-Galvan, L Diaz-Flores… - Aging (Albany …, 2021 - ncbi.nlm.nih.gov
Aims: To investigate the interplay between gray matter (GM) and white matter (WM)
neurodegeneration in subjective cognitive decline (SCD), including thickness across the …

Contributions of brain function and structure to three different domains of cognitive control in normal aging

JR Rieck, G Baracchini, CL Grady - Journal of Cognitive …, 2021 - direct.mit.edu
Cognitive control involves the flexible allocation of mental resources during goal-directed
behavior and comprises three correlated but distinct domains—inhibition, shifting, and …