The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large‐scale resting‐state functional brain networks in aging

HA Deery, R Di Paolo, C Moran, GF Egan… - …, 2023 - Wiley Online Library
The literature on large‐scale resting‐state functional brain networks across the adult
lifespan was systematically reviewed. Studies published between 1986 and July 2021 were …

[HTML][HTML] Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use

AR Laird - NeuroImage, 2021 - Elsevier
Large, open datasets have emerged as important resources in the field of human
connectomics. In this review, the evolution of data sharing involving magnetic resonance …

[HTML][HTML] Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan… - NeuroImage, 2020 - Elsevier
As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …

Quantifying performance of machine learning methods for neuroimaging data

L Jollans, R Boyle, E Artiges, T Banaschewski… - NeuroImage, 2019 - Elsevier
Abstract Machine learning is increasingly being applied to neuroimaging data. However,
most machine learning algorithms have not been designed to accommodate neuroimaging …

Deep learning in large and multi-site structural brain MR imaging datasets

M Bento, I Fantini, J Park, L Rittner… - Frontiers in …, 2022 - frontiersin.org
Large, multi-site, heterogeneous brain imaging datasets are increasingly required for the
training, validation, and testing of advanced deep learning (DL)-based automated tools …

Choice of Voxel-based Morphometry processing pipeline drives variability in the location of neuroanatomical brain markers

X Zhou, R Wu, Y Zeng, Z Qi, S Ferraro, L Xu… - Communications …, 2022 - nature.com
Fundamental and clinical neuroscience has benefited tremendously from the development
of automated computational analyses. In excess of 600 human neuroimaging papers using …

Brain hemispheric involvement in visuospatial and verbal divergent thinking

Q Chen, RE Beaty, Z Cui, J Sun, H He, K Zhuang… - NeuroImage, 2019 - Elsevier
Hemispheric lateralization for creative thinking remains a controversial topic. Early
behavioral and neuroimaging research supported right hemisphere dominance in creative …

Brain network localization of gray matter atrophy and neurocognitive and social cognitive dysfunction in schizophrenia

Y Cheng, H Cai, S Liu, Y Yang, S Pan, Y Zhang… - Biological …, 2025 - Elsevier
Background Numerous studies have established the presence of gray matter atrophy and
brain activation abnormalities during neurocognitive and social cognitive tasks in …

[HTML][HTML] Interoceptive attention facilitates emotion regulation strategy use

Y Tan, X Wang, SD Blain, L Jia, J Qiu - International Journal of Clinical and …, 2023 - Elsevier
Background Perception of bodily signals—or interoception—has been suggested to facilitate
individuals' habitual use of emotion regulation (ER) strategies and to guide the flexible …

Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging

X Feng, ZC Lipton, J Yang, SA Small… - Neurobiology of …, 2020 - Elsevier
Numerous studies have established that estimated brain age constitutes a valuable
biomarker that is predictive of cognitive decline and various neurological diseases. In this …