scholarly journals Negative impacts of iron deficiency on visual category learning quantified in terms of dopaminergic status and brain energy expenditure

2019 ◽  
Vol 19 (10) ◽  
pp. 244c
Author(s):  
Michael Wenger ◽  
Rachel Sharp ◽  
Amanda McCollum ◽  
Lisa De Stefano ◽  
Stephanie Rhoten ◽  
...  
2019 ◽  
Vol 116 (27) ◽  
pp. 13266-13275 ◽  
Author(s):  
Christopher W. Kuzawa ◽  
Clancy Blair

The causes of obesity are complex and multifactorial. We propose that one unconsidered but likely important factor is the energetic demand of brain development, which could constrain energy available for body growth and other functions, including fat deposition. Humans are leanest during early childhood and regain body fat in later childhood. Children reaching this adiposity rebound (AR) early are at risk for adult obesity. In aggregate data, the developing brain consumes a lifetime peak of 66% of resting energy expenditure in the years preceding the AR, and brain energy use is inversely related to body weight gain from infancy until puberty. Building on this finding, we hypothesize that individual variation in childhood brain energy expenditure will help explain variation in the timing of the AR and subsequent obesity risk. The idea that brain energetics constrain fat deposition is consistent with evidence that genes that elevate BMI are expressed in the brain and mediate a trade-off between the size of brain structures and BMI. Variability in energy expended on brain development and function could also help explain widely documented inverse relationships between the BMI and cognitive abilities. We estimate that variability in brain energetics could explain the weight differential separating children at the 50th and 70th BMI-for-age centiles immediately before the AR. Our model proposes a role for brain energetics as a driver of variation within a population’s BMI distribution and suggests that educational interventions that boost global brain energy use during childhood could help reduce the burden of obesity.


2006 ◽  
Vol 17 (1) ◽  
pp. 37-43 ◽  
Author(s):  
E. Nomura ◽  
W. Maddox ◽  
J. Filoteo ◽  
A. Ing ◽  
D. Gitelman ◽  
...  

2020 ◽  
Author(s):  
Casey L Roark ◽  
Kirsten Smayda ◽  
Bharath Chandrasekaran

We compare the ability of amateur musicians and non-musicians in learning artificial auditory and visual categories that can be described as either rule-based (RB) or information-integration (II) category structures. RB categories are optimally learned using a reflective reasoning process, whereas II categories are optimally learned by integrating information from two stimulus dimensions at a reflexive, pre-decisional processing stage. Across two experiments, we found that music experience was beneficial to learning auditory categories. In Experiment 1, musicians enrolled in a music college demonstrated advantages over non-musicians in learning RB auditory categories defined on pitch frequency and duration dimensions but did not demonstrate differences in learning II auditory categories or either RB or II visual categories. In Experiment 2, a broader online sample of musicians demonstrated advantages over non-musicians in learning both RB and II auditory categories defined on spectral and temporal modulation dimensions. Musicians’ category learning advantage is limited to their modality of expertise and is category-specific in a way that depends on the dimensions used to define the categories.


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