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Metacognitive ability correlates with hippocampal and prefrontal microstructure

Authors: Micah Allen; James C. Glen; Daniel Müllensiefen; Dietrich Samuel Schwarzkopf; Francesca Fardo; Darya Frank; Martina F. Callaghan; +1 Authors

Metacognitive ability correlates with hippocampal and prefrontal microstructure

Abstract

The ability to introspectively evaluate our experiences to form accurate metacognitive beliefs, or insight, is an essential component of decision-making. Previous research suggests individuals vary substantially in their level of insight, and that this variation is related to brain volume and function, particularly in the anterior prefrontal cortex (aPFC). However, the neurobiological mechanisms underlying these effects are unclear, as qualitative, macroscopic measures such as brain volume can be related to a variety of microstructural features. Here we leverage a high-resolution (800µm isotropic) multi-parameter mapping technique in 48 healthy individuals to delineate quantitative markers of in vivo histological features underlying metacognitive ability. Specifically, we examined how neuroimaging markers of local grey matter myelination and iron content relate to insight as measured by a signal-theoretic model of subjective confidence. Our results revealed a pattern of microstructural correlates of perceptual metacognition in the aPFC, precuneus, hippocampus, and visual cortices. In particular, we extend previous volumetric findings to show that right aPFC myeloarchitecture positively relates to metacognitive insight. In contrast, decreased myelination in the left hippocampus correlated with better metacognitive insight. These results highlight the ability of quantitative neuroimaging to reveal novel brain-behaviour correlates and may motivate future research on their environmental and developmental underpinnings.

Keywords

Adult, Male, Iron, Cognitive Neuroscience, Prefrontal Cortex, Neuroimaging, Hippocampus, Nerve Fibers, Myelinated, Article, Myelination, Young Adult, Image Interpretation, Computer-Assisted, VARYING FLIP ANGLES, Humans, Microstructure, IN-VIVO, SPOILED FLASH, Brain Mapping, Science & Technology, Neurosciences, MULTIPLE-SCLEROSIS, Quantitative MRI, MAGNETIZATION-TRANSFER, HUMAN BRAIN, Magnetic Resonance Imaging, INTRINSIC FUNCTIONAL CONNECTIVITY, QUANTITATIVE MRI, Nuclear Medicine & Medical Imaging, Neurology, MYELIN CONTENT, Female, Neurosciences & Neurology, Radiology, HUMAN CEREBRAL-CORTEX, Metacognition, Life Sciences & Biomedicine

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 10%
Top 10%
Top 10%
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gold