306 research outputs found
Working memory training does not enhance older adults' cognitive skills: A comprehensive meta-analysis
© 2019 The Authors In the last two decades, considerable efforts have been devoted to finding a way to enhance cognitive function by cognitive training. To date, the attempt to boost broad cognitive functions in the general population has failed. However, it is still possible that some cognitive training regimens exert a positive influence on specific populations, such as older adults. In this meta-analytic review, we investigated the effects of working memory (WM) training on older adults' cognitive skills. Three robust-variance-estimation meta-analyses (N = 2140, m = 43, and k = 698) were run to analyze the effects of the intervention on (a) the trained tasks, (b) near-transfer measures, and (c) far-transfer measures. While large effects were found for the trained tasks (g¯ = 0.877), only modest (g¯ = 0.274) and near-zero (g¯ = 0.121) effects were obtained in the near-transfer and far-transfer meta-analyses, respectively. Publication-bias analysis provided adjusted estimates that were slightly lower. Moreover, when active control groups were implemented, the far-transfer effects were null (g¯ = −0.008). Finally, the effects were highly consistent across studies (i.e., low or null true heterogeneity), especially in the near- and far-transfer models. While confirming the difficulty in obtaining transfer effects with cognitive training, these results corroborate recent empirical evidence suggesting that WM is not isomorphic with other fundamental cognitive skills such as fluid intelligence
Cognitive Performance in Centenarians and the Oldest Old: Norms from the Georgia Centenarian Study
We present normative data from a large population-based sample of centenarians for several brief, global neurocognitive tasks amenable for frail elders. Comparative data from octogenarians are included. A total of 244 centenarians and 80 octogenarians from Phase III of the Georgia Centenarian Study were administered the Mini-Mental Status Examination, Severe Impairment Battery, and Behavioral Dyscontrol Scale. Centenarians (age 98–107) were stratified into three age cohorts (98–99, 100–101, 102–107), octogenarians into two 5- year cohorts (80–84, 85–89). Highly significant differences were observed between groups on all measures, with greater variation and dispersion in performance among centenarians, as well as stronger associations between age and performance. Descriptive statistics and normative ranges (unweighted and population-weighted) are provided by age cohort. Additional statistics are provided by education level. While most previous centenarian studies have used convenience samples, ours is population-based and likely more valid for comparison in applied settings. Results suggest centenarians look different than do even the oldest age range of most normative aging datasets (e.g., 85–90). Results support using global measures of neurocognition to describe cognitive status in the oldest old, and we provide normative comparisons to do so
Anisotropic Magnetoresistance Effects in Fe, Co, Ni, Fe_4N, and Half-Metallic Ferromagnet: A Systematic Analysis
We theoretically analyze the anisotropic magnetoresistance (AMR) effects of
bcc Fe (+), fcc Co (+), fcc Ni (+), FeN (-), and a half-metallic
ferromagnet (-). The sign in each ( ) represents the sign of the AMR ratio
observed experimentally. We here use the two-current model for a system
consisting of a spin-polarized conduction state and localized d states with
spin--orbit interaction. From the model, we first derive a general expression
of the AMR ratio. The expression consists of a resistivity of the conduction
state of the spin ( or ), , and resistivities due to s--d scattering processes from the
conduction state to the localized d states. On the basis of this expression, we
next find a relation between the sign of the AMR ratio and the s--d scattering
process. In addition, we obtain expressions of the AMR ratios appropriate to
the respective materials. Using the expressions, we evaluate their AMR ratios,
where the expressions take into account the values of of the respective materials. The evaluated AMR
ratios correspond well to the experimental results.Comment: 17 pages, 12 figures, to be published in J. Phys. Soc. Jpn, minor
mistakes corrected, final versio
Systematic generation of in vivo G protein-coupled receptor mutants in the rat
G-protein-coupled receptors (GPCRs) constitute a large family of cell surface receptors that are involved in a wide range of physiological and pathological processes, and are targets for many therapeutic interventions. However, genetic models in the rat, one of the most widely used model organisms in physiological and pharmacological research, are largely lacking. Here, we applied N-ethyl-N-nitrosourea (ENU)-driven target-selected mutagenesis to generate an in vivo GPCR mutant collection in the rat. A pre-selected panel of 250 human GPCR homologs was screened for mutations in 813 rats, resulting in the identification of 131 non-synonymous mutations. From these, seven novel potential rat gene knockouts were established as well as 45 lines carrying missense mutations in various genes associated with or involved in human diseases. We provide extensive in silico modeling results of the missense mutations and show experimental data, suggesting loss-of-function phenotypes for several models, including Mc4r and Lpar1. Taken together, the approach used resulted not only in a set of novel gene knockouts, but also in allelic series of more subtle amino acid variants, similar as commonly observed in human disease. The mutants presented here may greatly benefit studies to understand specific GPCR function and support the development of novel therapeutic strategies
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