ArticleHuman brain mapping2019
Activation-based association profiles differentiate network roles across cognitive loads.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Effects of aging on the mechanisms of dynamic integration between the default mode network and other brain networks: evidence based on fMRI data with natural stimulation.Brain imaging and behavior · 2026Article
- Inter-network Effective Connectivity During an Emotional Working Memory Task in Two Independent Samples of Young Adults.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Divergent Neural Mechanisms of Self-Concerned and Prosocial Decision-Making Under High and Low Cognitive Loads.Human brain mapping · 2025Article
- The lifelong nonlinear development of spatial variability of brain signals.Communications biology · 2025Article
- Article
- Neural Network Functional Interactions Mediate or Suppress White Matter-Emotional Behavior Relationships in Infants.Biological psychiatry · 2023Article
- Altered patterns of central executive, default mode and salience network activity and connectivity are associated with current and future depression risk in two independent young adult samples.Molecular psychiatry · 2023Article
- Neural function during emotion regulation and future depressive symptoms in youth at risk for affective disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Task-induced activation transmitted by structural connectivity is associated with behavioral performance.Brain structure & function · 2021Article
- Activation-based association profiles differentiate network roles across cognitive loads.Human brain mapping · 2019Article
- Multiple brain activation patterns underlying successful visual short-term memory across the adult lifespan.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Working memory (WM) is a complex and pivotal cognitive system underlying the performance of many cognitive behaviors. Although individual differences in WM performance have previously been linked to the blood oxygenation level-dependent (BOLD) response across several large-scale brain networks, the unique and shared contributions of each large-scale brain network to efficient WM processes across different cognitive loads remain elusive. Using a WM paradigm and functional magnetic resonance imaging (fMRI) from the Human Connectome Project, we proposed a framework to assess the association and shared-association strength between imaging biomarkers and behavioral scales. Association strength is the capability of individual brain regions to modulate WM performance and shared-association strength measures how different regions share the capability of modulating performance. Under higher cognitive load (2-back), the frontoparietal executive control network (FPN), dorsal attention network (DAN), and salience network showed significant positive activation and positive associations, whereas the default mode network (DMN) showed the opposite pattern, namely, significant deactivation and negative associations. Comparing the different cognitive loads, the DMN and FPN showed predominant associations and globally shared-associations. When investigating the differences in association from lower to higher cognitive loads, the DAN demonstrated enhanced association strength and globally shared-associations, which were significantly greater than those of the other networks. This study characterized how brain regions individually and collaboratively support different cognitive loads.
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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.