ArticleFrontiers in human neuroscience2017
Individual Differences in the Accuracy of Judgments of Learning Are Related to the Gray Matter Volume and Functional Connectivity of the Left Mid-Insula.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Making judgments of learning (JOLs) for oneself versus others: A review and proposed model.Psychonomic bulletin & review · 2025Review
- An Event-Related Potential Study on Differences Between Higher and Lower Easy of Learning Judgments: Evidence for the Ease-of-Processing Hypothesis.Frontiers in psychology · 2022Article
- Altered metamemory precedes cognitive impairment in subjective cognitive decline with positive amyloid-beta.Frontiers in aging neuroscience · 2022Article
- Alterations in metamemory capacity and neural correlates in a subtype of subjective cognitive decline.NeuroImage. Clinical · 2022Article
- Functional and Pathological Correlates of Judgments of Learning in Cognitively Unimpaired Older Adults.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Using Nonlinear Dynamics and Multivariate Statistics to Analyze EEG Signals of Insomniacs with the Intervention of Superficial Acupuncture.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- Hemisphere-specific effects of prefrontal theta-burst stimulation on visual recognition memory accuracy and awareness.Brain and behavior · 2019Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The judgment of learning (JOL) is an important form of prospective metamemory judgment, and the biological basis of the JOL process is an important topic in metamemory research. Although previous task-related functional magnetic resonance imaging (MRI) studies have examined the brain regions underlying the JOL process, the neural correlates of individual differences in JOL accuracy require further investigation. This study used structural and resting-state functional MRI to investigate whether individual differences in JOL accuracy are related to the gray matter (GM) volume and functional connectivity of the bilateral insula and medial Brodmann area (BA) 11, which are assumed to be related to JOL accuracy. We found that individual differences in JOL accuracy were related to the GM volume of the left mid-insula and to the functional connectivity between the left mid-insula and various other regions, including the left superior parietal lobule/precuneus, bilateral inferior parietal lobule/intraparietal sulcus, right frontal pole and left parahippocampal gyrus/fusiform gyrus/cerebellum. Further analyses indicated that the functional connectivity related to individual differences in JOL accuracy could be divided into two factors and might support information integration and selective attention processes underlying accurate JOLs. In addition, individual differences in JOL accuracy were not related to the GM volume or functional connectivity of the medial BA 11. Our findings provide novel evidence for the role of the left mid-insula and its functional connectivity in the JOL process.
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