ArticleNeuroImage2020
Predicting dysfunctional age-related task activations from resting-state network alterations.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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.Psychophysiology · 2023Pooled it
- Elevated functional magnetic resonance imaging activity in cognitively normal participants predicts future dementia.Brain communications · 2026Article
- Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learning.Nature communications · 2025Article
- Exploring the transmission of cognitive task information through optimal brain pathways.PLoS computational biology · 2025Article
- Self-reported concussion history is not related to cortical volume in college athletes.PloS one · 2025Article
- Acute psychosocial stress modulates neural and behavioral substrates of cognitive control.Human brain mapping · 2024Article
- The Prediction of Brain Activity from Connectivity: Advances and Applications.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024Review
- Using a deep generation network reveals neuroanatomical specificity in hemispheres.Patterns (New York, N.Y.) · 2024Article
- Second language learning in older adults modulates Stroop task performance and brain activation.Frontiers in aging neuroscience · 2024Article
- Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease.Frontiers in human neuroscience · 2024Article
- Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations.NeuroImage · 2023Article
- Frequency-specific brain network architecture in resting-state fMRI.Scientific reports · 2023Article
- Dorsal attention network activity during perceptual organization is distinct in schizophrenia and predictive of cognitive disorganization.The European journal of neuroscience · 2023Article
- Activity flow mapping over probabilistic functional connectivity.Human brain mapping · 2023Article
- Network modeling of dynamic brain interactions predicts emergence of neural information that supports human cognitive behavior.PLoS biology · 2022Article
- Brain connectivity at rest predicts individual differences in normative activity during movie watching.NeuroImage · 2022Article
- Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox.STAR protocols · 2022Article
- A Spatiotemporal Brain Network Analysis of Alzheimer's Disease Based on Persistent Homology.Frontiers in aging neuroscience · 2022Article
- Brain network mechanisms of visual shape completion.NeuroImage · 2021Article
- Activity flow underlying abnormalities in brain activations and cognition in schizophrenia.Science advances · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Alzheimer's disease (AD) is linked to changes in fMRI task activations and fMRI resting-state functional connectivity (restFC), which can emerge early in the illness timecourse. These fMRI correlates of unhealthy aging have been studied in largely separate subfields. Taking inspiration from neural network simulations, we propose a unifying mechanism wherein restFC alterations associated with AD disrupt the flow of activations between brain regions, leading to aberrant task activations. We apply this activity flow model in a large sample of clinically normal older adults, which was segregated into healthy (low-risk) and at-risk subgroups based on established imaging (positron emission tomography amyloid) and genetic (apolipoprotein) AD risk factors. Modeling the flow of healthy activations over at-risk AD connectivity effectively transformed the healthy aged activations into unhealthy (at-risk) aged activations. This enabled reliable prediction of at-risk AD task activations, and these predicted activations were related to individual differences in task behavior. These results support activity flow over altered intrinsic functional connections as a mechanism underlying Alzheimer's-related dysfunction, even in very early stages of the illness. Beyond these mechanistic insights, this approach raises clinical potential by enabling prediction of task activations and associated cognitive dysfunction in individuals without requiring them to perform in-scanner cognitive tasks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.