ArticleBrain and behavior2021
Neuroanatomical differences in the memory systems of intellectual giftedness and typical development.
Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Giftedness: A Critical Analysis of Theories and Identification Methods in Light of Contemporary Neuroscience.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2026Review
- Neuromyths and knowledge about intellectual giftedness in a highly educated multilingual country.Frontiers in psychology · 2023Article
- Graph Empirical Mode Decomposition-Based Data Augmentation Applied to Gifted Children MRI Analysis.Frontiers in neuroscience · 2022Article
- Neuroanatomical differences in the memory systems of intellectual giftedness and typical development.Brain and behavior · 2021Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionStudying neuro-structural markers of intellectual giftedness (IG) will inform scientific understanding of the processes helping children excel academically.
methodsStructural and diffusion-weighted MRI was used to compare regional brain shape and connectivity of 12 children with average to high average IQ and 18 IG children, defined as having IQ greater than 145.
resultsIG had larger subcortical structures and more robust white matter microstructural organization between those structures in regions associated with explicit memory. TD had more connected, larger subcortical structures in regions associated with implicit memory.
conclusionsIt was found that the memory systems within brains of children with exceptional intellectual abilities are differently sized and connected compared to the brains of typically developing children. These different neurodevelopmental trajectories suggest different learning strategies. A spectrum of intelligence types is envisioned, facilitated by different ratios of implicit and explicit system, which was validated using a large external dataset.
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