ArticleFrontiers in behavioral neuroscience2016
Probing Intrinsic Resting-State Networks in the Infant Rat Brain.
Article in Frontiers in behavioral neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Body size and brain volumetry in the rat following prolonged morphine administration in infancy and adulthood.Frontiers in pain research (Lausanne, Switzerland) · 2023Article
- The brainstem connectome database.Scientific data · 2022Article
- Hippocampal functional connectivity development during the first two years indexes 4-year working memory performance.Cortex; a journal devoted to the study of the nervous system and behavior · 2021Article
- Article
- Delayed Functional Networks Development and Altered Fast Oscillation Dynamics in a Rat Model of Cortical Malformation.Frontiers in neuroscience · 2020Article
- Resting State Networks in the TgF344-AD Rat Model of Alzheimer's Disease Are Altered From Early Stages.Frontiers in aging neuroscience · 2019Article
- Towards Differential Connectomics with NeuroVIISAS.Neuroinformatics · 2019Article
- Amygdala hyper-connectivity in a mouse model of unpredictable early life stress.Translational psychiatry · 2018Review
- Identifying Rodent Resting-State Brain Networks with Independent Component Analysis.Frontiers in neuroscience · 2017Article
- Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
Resting-state functional magnetic resonance imaging (rs-fMRI) measures spontaneous fluctuations in blood oxygenation level-dependent (BOLD) signal in the absence of external stimuli. It has become a powerful tool for mapping large-scale brain networks in humans and animal models. Several rs-fMRI studies have been conducted in anesthetized and awake adult rats, reporting consistent patterns of brain activity at the systems level. However, the evolution to adult patterns of resting-state activity has not yet been evaluated and quantified in the developing rat brain. In this study, we hypothesized that large-scale intrinsic networks would be easily detectable but not fully established as specific patterns of activity in lightly anesthetized 2-week-old rats (
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