Results 1 to 10 of about 391,425 (267)
Differences in Brain Network Topology Based on Alcohol Use History in Adolescents
Brain Sciences, 2023 Approximately 6 million youth aged 12 to 20 consume alcohol monthly in the United States. The effect of alcohol consumption in adolescence on behavior and cognition is heavily researched; however, little is known about how alcohol consumption in ...
Haley A. Kirse +6 more
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3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics
Network Neuroscience, 2023 Brain network analyses have exploded in recent years and hold great potential in helping us understand normal and abnormal brain function. Network science approaches have facilitated these analyses and our understanding of how the brain is structurally ...
Chal E. Tomlinson +3 more
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Brain Sciences, 2021 Alcohol consumption is now common practice worldwide, and functional brain networks are beginning to reveal the complex interactions observed with alcohol consumption and abstinence.
Hope Peterson +7 more
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A mixed-modeling framework for analyzing multitask whole-brain network data [PDF]
Network Neuroscience, 2019 The emerging area of brain network analysis considers the brain as a system, providing profound insight into links between system-level properties and health outcomes.
Sean L. Simpson +2 more
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Alpha power during task performance predicts individual language comprehension
NeuroImage, 2022 Alpha power attenuation during cognitive task performing has been suggested to reflect a process of release of inhibition, increase of excitability, and thereby benefit the improvement of performance.
P. Wang +7 more
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Aging and neural vulnerabilities in overeating: A conceptual overview and model to guide treatment
PCN Reports, 2022 Given the vulnerability of older adults to chronic disease and physical disability, coupled with the threat that obesity poses to healthy aging, there is an urgent need to understand the causes of positive energy balance and the struggle that many older ...
W. Jack Rejeski +5 more
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Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques
Frontiers in Neuroinformatics, 2021 Background: fMRI data is inherently high-dimensional and difficult to visualize. A recent trend has been to find spaces of lower dimensionality where functional brain networks can be projected onto manifolds as individual data points, leading to new ways
Ramon Casanova +10 more
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Dopamine role in learning and action inference
eLife, 2020 This paper describes a framework for modelling dopamine function in the mammalian brain. It proposes that both learning and action planning involve processes minimizing prediction errors encoded by dopaminergic neurons.
Rafal Bogacz
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Brain signatures of chronic gut inflammation
Frontiers in Psychiatry, 2023 Gut inflammation is thought to modify brain activity and behaviour via modulation of the gut-brain axis. However, how relapsing and remitting exposure to peripheral inflammation over the natural history of inflammatory bowel disease (IBD) contributes to ...
Caitlin V. Hall +10 more
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