ArticlePloS one2014
Resting-state fMRI activity predicts unsupervised learning and memory in an immersive virtual reality environment.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Validation and comparison of virtual reality and 3D mobile games for cognitive assessment against ACE-III in 82 young participants.Scientific reports · 2024Article
- VR for Cognition and Memory.Current topics in behavioral neurosciences · 2023Review
- Task-induced brain functional connectivity as a representation of schema for mediating unsupervised and supervised learning dynamics in language acquisition.Brain and behavior · 2021Article
- Post-Training Sleep Modulates Topographical Relearning-Dependent Resting State Activity.Brain sciences · 2021Article
- Right-lateralized intrinsic brain dynamics predict monitoring abilities.Cognitive, affective & behavioral neuroscience · 2020Article
- Psychopathy is associated with shifts in the organization of neural networks in a large incarcerated male sample.NeuroImage. Clinical · 2019Article
- Enhancing the Ecological Validity of fMRI Memory Research Using Virtual Reality.Frontiers in neuroscience · 2018Review
- Distinct Roles of Dopamine Receptors in the Lateral Thalamus in a Rat Model of Decisional Impulsivity.Neuroscience bulletin · 2017Article
- Altered Gray Matter Volume in Stable Chronic Obstructive Pulmonary Disease with Subclinical Cognitive Impairment: an Exploratory Study.Neurotoxicity research · 2017Article
- A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity.Scientific data · 2016Article
- Beyond BOLD correlations: A more quantitative approach for investigating brain networks.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016Article
- Increased connectivity between sensorimotor and attentional areas in Parkinson's disease.Neuroradiology · 2015Article
- Navigation performance in virtual reality-based cognitive assessment games as a candidate digital cognitive marker of hippocampal vulnerability: a scoping review.Alzheimer's & dementia (Amsterdam, Netherlands)Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
In the real world, learning often proceeds in an unsupervised manner without explicit instructions or feedback. In this study, we employed an experimental paradigm in which subjects explored an immersive virtual reality environment on each of two days. On day 1, subjects implicitly learned the location of 39 objects in an unsupervised fashion. On day 2, the locations of some of the objects were changed, and object location recall performance was assessed and found to vary across subjects. As prior work had shown that functional magnetic resonance imaging (fMRI) measures of resting-state brain activity can predict various measures of brain performance across individuals, we examined whether resting-state fMRI measures could be used to predict object location recall performance. We found a significant correlation between performance and the variability of the resting-state fMRI signal in the basal ganglia, hippocampus, amygdala, thalamus, insula, and regions in the frontal and temporal lobes, regions important for spatial exploration, learning, memory, and decision making. In addition, performance was significantly correlated with resting-state fMRI connectivity between the left caudate and the right fusiform gyrus, lateral occipital complex, and superior temporal gyrus. Given the basal ganglia's role in exploration, these findings suggest that tighter integration of the brain systems responsible for exploration and visuospatial processing may be critical for learning in a complex environment.
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Registered trials
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