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Identifying subjects with mild cognitive impairment (MCI) most likely to decline in cognition over time is a major focus in Alzheimer's disease (AD) research. Neuroimaging biomarkers that predict decline would have great potential for increasing the efficacy of early intervention. In this study, we used high-resolution MRI, combined with a cortical unfolding technique to increase visibility of the convoluted medial temporal lobe (MTL), to assess whether gray matter thickness in subjects with MCI correlated to decline in cognition over two years. We found that thickness in the entorhinal (ERC) and subicular (Sub) cortices of MCI subjects at initial assessment correlated to change in memory encoding over two years (ERC: r = 0.34; P = .003) and Sub (r = 0.26; P = .011) but not delayed recall performance. Our findings suggest that aspects of memory performance may be differentially affected in the early stages of AD. Given the MTL's involvement in early stages of neurodegeneration in AD, clarifying the relationship of these brain regions and the link to resultant cognitive decline is critical in understanding disease progression.

Introduction: Studying neuro-structural markers of intellectual giftedness (IG) will inform scientific understanding of the processes helping children excel academically., Methods: Structural 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., Results: IG 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., Conclusions: It 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., (© 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC.)

The ability to critically evaluate neuroscientific findings is a skill that is rapidly becoming important in non-science professions. As neuroscience research is increasingly being used in law, business, education, and politics, it becomes imperative to educate future leaders in all areas of society about the brain. Undergraduate general education courses are an ideal way to expose students to issues of critical importance, but non-science students may avoid taking a neuroscience course because of the perception that neuroscience is more challenging than other science courses. A recently developed general education cluster course at UCLA aims to make neuroscience more palatable to undergraduates by pairing neuroscientific concepts with philosophy and history, and by building a learning community that supports the development of core academic skills and intellectual growth over the course of a year. This study examined the extent to which the course was successful in delivering neuroscience education to a broader undergraduate community. The results indicate that a majority of students in the course mastered the basics of the discipline regardless of their major. Furthermore, 77% of the non-life science majors (approximately two-thirds of students in the course) indicated that they would not have taken an undergraduate neuroscience course if this one was not offered. The findings also demonstrate that the course helped students develop core academic skills and improved their ability to think critically about current events in neuroscience. Faculty reported that teaching the course was highly rewarding and did not require an inordinate amount of time.