ArticleFrontiers in behavioral neuroscience2015
Functional connectivity changes during a working memory task in rat via NMF analysis.
Article in Frontiers in behavioral neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
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- Human iPSC-Derived Mononuclear Phagocytes Improve Cognition and Neural Health across Multiple Mouse Models of Aging and Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Population coding strategies in human tactile afferents.PLoS computational biology · 2022Article
- High-fat diet-induced memory impairment and anxiety-like behavior in rats attenuated by peel extract ofMetabolism open · 2021Article
- [Connectivity pattern of action potentials causal network in prefrontal cortex during anxiety].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
- Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics.Brain topography · 2019Article
- Article
- Neural Correlates of Consciousness at Near-Electrocerebral Silence in an Asphyxial Cardiac Arrest Model.Brain connectivity · 2017Article
- Prefrontal cortical control of a brainstem social behavior circuit.Nature neuroscience · 2017Article
- Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.PLoS computational biology · 2016Article
- State-Dependent Propagation of Neuronal Sub-Population in Spontaneous Synchronized Bursts.Frontiers in systems neuroscience · 2016Article
- Serotonin 2a Receptor and Serotonin 1a Receptor Interact Within the Medial Prefrontal Cortex During Recognition Memory in Mice.Frontiers in pharmacology · 2015Article
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4 authors.
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Abstract
Working memory (WM) is necessary in higher cognition. The brain as a complex network is formed by interconnections among neurons. Connectivity results in neural dynamics to support cognition. The first aim is to investigate connectivity dynamics in medial prefrontal cortex (mPFC) networks during WM. As brain neural activity is sparse, the second aim is to find the intrinsic connectivity property in a feature space. Using multi-channel electrode recording techniques, spikes were simultaneously obtained from mPFC of rats that performed a Y-maze WM task. Continuous time series converted from spikes were embedded in a low-dimensional space by non-negative matrix factorization (NMF). mPFC network in original space was constructed by measuring connections among neurons. And the same network in NMF space was constructed by computing connectivity values between the extracted NMF components. Causal density (Cd) and global efficiency (E) were estimated to present the network property. The results showed that Cd and E significantly peaked in the interval right before the maze choice point in correct trials. However, the increase did not emerge in error trials. Additionally, Cd and E in two spaces displayed similar trends in correct trials. The difference was that the measures in NMF space were significantly greater than those in original space. Our findings indicated that the anticipatory changes in mPFC networks may have an effect on future WM behavioral choices. Moreover, the NMF analysis achieves a better characterization for a brain network.
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