ArticleRadiology2022
Resting-State Functional MRI of Healthy Adults: Temporal Dynamic Brain Coactivation Patterns.
Article in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Dynamic brain connectivity patterns induced by oxytocin: An fMRI Co-Activation pattern analysis study.Molecular psychiatry · 2026Article
- Disrupted dynamics of transient brain states in patients with brain tumors: a co-activation pattern analysis of resting-state fMRI.La Radiologia medica · 2026Article
- Brain resting state functional connectivity changes with aerobic exercise, and mindfulness: A narrative review.Sports medicine and health science · 2026Review
- Bilateral Angular Gyrus 810-nm Transcranial Near-Infrared Stimulation Reshapes Brain Network: Ameliorate Alzheimer's Disease Cognitive Deficits.BME frontiers · 2026Article
- State-dependent modulation of brain co-activation patterns induced by individually targeted VLPFC stimulation during viewing emotional film clips.Frontiers in human neuroscience · 2026Article
- Resting-State Coactivation Patterns of Language Reorganization in Brain Tumors.Neural plasticity · 2026Article
- Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.Human brain mapping · 2025Article
- Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach.Translational psychiatry · 2024Article
- Brain network dynamics in patients with single- and multiple-domain amnestic mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study.Biological psychiatry · 2024Article
- Age Prediction Using Resting-State Functional MRI.Neuroinformatics · 2024Article
- A comprehensive survey of complex brain network representation.Meta-radiology · 2023Article
- Atypical Hierarchical Connectivity Revealed by Stepwise Functional Connectivity in Aging.Bioengineering (Basel, Switzerland) · 2023Article
- Individual functional parcellation revealed compensation of dynamic limbic network organization in healthy ageing.Human brain mapping · 2023Article
- Neuroinflammation mechanisms of neuromodulation therapies for anxiety and depression.Translational psychiatry · 2023Review
- Resting-State Functional MRI Changes in Normal Human Aging.Radiology · 2022Article
- A P300-Detection Method Based on Logistic Regression and a Convolutional Neural Network.Frontiers in computational neuroscience · 2022Article
- Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson's Patients.Frontiers in computational neuroscience · 2022Article
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8 authors.
Funding
Abstract
Background The aging brain is typically associated with aberrant interactions of large-scale intrinsic networks. However, the dynamic variation of these networks' coactivation or deactivation across the adult lifespan remains unclear. Purpose To promote the interpretation of dynamic brain network variations underlying the complex aging process by quantifying activation levels and obtaining a clear definition of coactivation patterns (CAPs) with resting-state functional MRI (rsfMRI). Materials and Methods In a retrospective study (October 2010 to September 2013), rsfMRI data from healthy participants in the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository were used to generate CAPs by applying single-volume temporal clustering analysis. Spatial clustering analysis was then performed to capture dynamic coactivation and deactivation within or between primary sensory networks and high-order cognitive networks (including the default mode network [DMN], attentional network [AN], and frontoparietal network [FPN]). Linear relationships between dynamic metrics and age were revealed with Spearman partial correlations. Results A total of 614 participants (mean age, 54 years ± 18 [SD]; 311 women) ranging in age from 18 to 88 years were evaluated. There was a negative correlation of the CAPs (Spearman correlations:
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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.