Education and male-female differences in later-life cognition: international evidence from latin america and the Caribbean.

This study explores the role of early-life education for differences in cognitive functioning between men and women aged 60 and older from seven major urban areas in Latin America and the Caribbean. After documenting statistically significant differences in cognitive functioning between men and women for six of the seven study sites, I assess the extent to which these differences can be explained by prevailing male-female differences in education. I decompose predicted male-female differences in cognitive functioning based on various statistical models for later-life cognition and find robust evidence that male-female differences in education are a major driving force behind cognitive functioning differences between older men and women. This study therefore suggests that early-life differences in educational attainment between boys and girls during childhood have a lasting impact on gender inequity in cognitive functioning at older ages. Increases in educational attainment and the closing of the gender gap in education in many countries in Latin America and the Caribbean may thus result in both higher levels and a more gender-equitable distribution of later-life cognition among the future elderly in those countries.

Drugs, schizotypy and cognition: Cognitive attenuations seem more consistently associated with substance use than schizotypal symptoms

Psychosis is a debilitating disease, causing harm to the individual and society. Since early detection of the disease is associated with a more benign course, factors are warranted that enable the early detection of psychosis. In the present thesis we will be focusing on two potential risk factors, namely schizotypy and drug use. The schizotypy concept, originally developed by Meehl (1962), states that schizophrenia symptoms exist on a spectrum, with symptoms ranging from the most severe in patients with schizophrenia to the least affected individual in the general population. Along the schizophrenia spectrum cognitive impairments are commonly found, for instance reduced hemispheric asymmetry or frontal lobe functions. The second risk factor (drug use), affects similar cognitive functions as those attenuated along the schizophrenia spectrum, and drug use is elevated in schizophrenia and people scoring high on schizotypy. Therefore, we set out to investigate whether cognitive attenuations formerly allocated to schizotypal symptoms could have been influenced by elevated substance use in this population. To test this idea, we assessed various drugs (nicotine, cannabis, mephedrone, general substance dependence) and schizotypy symptoms (O-LIFE), and measured either hemispheric asymmetry of function (left hemisphere dominance for language, and right hemisphere dominance for facial processing) or functions largely relying on the frontal lobes (such as cognitive flexibility, working memory, verbal short-term memory, verbal learning and verbal fluency). Results of all studies suggest that it is mostly drugs, and not schizotypy in general that predict cognitive functioning. Therefore, cognitive attenuations subscribed to schizotypy dimensions are likely to have been affected by enhanced drug use. Future studies should extend the list of potential risk factors (e.g. depression and IQ) to acquire a comprehensive overview of the most reliable predictors of disadvantageous cognitive profiles.

Vers une conception intégrative de la dépression du sujet âgé : structure cérébrale, cognition et personnalité

Contexte : la prévalence des épisodes dépressifs majeurs parmi la population âgée générale est de 1-4%. Plusieurs études proposent la dissociation entre la dépression à début tardive (late onset depression, LOD), plus souvent associée à des déficits neuropsychologiques, des lésions cérébrales et des facteurs de risque cardio-vasculaire, et la dépression à début précoce (early onset depression, EOD) associée, elle, aux facteurs génétiques et à certains profiles de personnalité. Toutefois, aucune étude transversale ou longitudinale n'a jusqu'à maintenant mesuré et comparé de façon concomitante les profiles cognitifs, la neuro-imagerie (IRM) et les profiles de personnalité des patients âgés LOD et EOD euthymiques. Méthodes : ce travail se base sur une étude menée par différents services des Hôpitaux Universitaires de Genève (HUG) et du Centre Hospitalier Universitaire Vaudois (CHUV) qui ont collaboré afin de recruter le collectif de patients dépressifs nécessaire. La partie expérimentale est divisée en deux parties. La première, transversale, compare 30 EOD, 11 LOD et 30 sujets contrôles, puis 38 EOD à 62 sujets contrôles. Une évaluation neuropsychologique, des évaluations des lésions et volumes cérébraux à l'IRM, ainsi que des traits de personnalité ont été effectuées. La deuxième partie, longitudinale, évalue sur 2 ans 28 patients EOD à 48 sujets contrôles avec les mêmes outils. Résultats : lors de la première partie, transversale, les performances cognitives et les volumes cérébraux sont préservés chez les patients EOD, alors que les patients LOD présentent une réduction significative de la mémoire épisodique et un taux plus élevé de lésions cérébrales périventriculaires (hyperintensités de la matière blanche) en comparaison avec les patients EOD et les sujets contrôles. Au niveau des traits de personnalité, les patients EOD sont associés à un niveau élevé de Névrosisme, en particulier les facettes Anxiété (N1) et Dépression (N3) mais diminué d'Extraversion, en particulier les facettes Chaleur (E1) et Emotions positives (E6). Dans la seconde partie, longitudinale, les performances cognitives et les volumes cérébraux des patients EOD sont restés, après les 2 ans de suivi (follow-up) comparables aux sujets contrôles. Les niveaux élevés du Névrosisme et sa facette Anxiété (N1) constatés au baseline diminuèrent pour atteindre un niveau normal. Les niveaux diminués des facettes Chaleur (E1) et Emotions positives (E6) au baseline ne persistèrent pas non plus. Seule la facette Dépression (N3) est restée chez les patients EOD significativement plus élevée que chez les sujets contrôles après les 2 ans de suivi. Conclusion : nos résultats supportent la dissociation entre EOD, associée à des facteurs génétiques et psychosociaux, et LOD associée aux facteurs de risque et comorbidités cardio-vasculaires. Après rémission d'un épisode dépressif aigu, les performances cognitives ainsi que les volumes cérébraux des patients EOD restent intactes au long terme, alors que le patient LOD garde des lésions cérébrales ainsi que des atteintes au niveau de la mémoire épisodique. Au niveau de la personnalité, la facette Dépression (N3) du domaine Névrosisme, connu pour être un facteur de risque de dépression, reste une caractéristique bien présente chez le patient EOD.

An evaluation of new parsimony-based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae

Aim  Recently developed parametric methods in historical biogeography allow researchers to integrate temporal and palaeogeographical information into the reconstruction of biogeographical scenarios, thus overcoming a known bias of parsimony-based approaches. Here, we compare a parametric method, dispersal-extinction-cladogenesis (DEC), against a parsimony-based method, dispersal-vicariance analysis (DIVA), which does not incorporate branch lengths but accounts for phylogenetic uncertainty through a Bayesian empirical approach (Bayes-DIVA). We analyse the benefits and limitations of each method using the cosmopolitan plant family Sapindaceae as a case study.Location  World-wide.Methods  Phylogenetic relationships were estimated by Bayesian inference on a large dataset representing generic diversity within Sapindaceae. Lineage divergence times were estimated by penalized likelihood over a sample of trees from the posterior distribution of the phylogeny to account for dating uncertainty in biogeographical reconstructions. We compared biogeographical scenarios between Bayes-DIVA and two different DEC models: one with no geological constraints and another that employed a stratified palaeogeographical model in which dispersal rates were scaled according to area connectivity across four time slices, reflecting the changing continental configuration over the last 110 million years.Results  Despite differences in the underlying biogeographical model, Bayes-DIVA and DEC inferred similar biogeographical scenarios. The main differences were: (1) in the timing of dispersal events - which in Bayes-DIVA sometimes conflicts with palaeogeographical information, and (2) in the lower frequency of terminal dispersal events inferred by DEC. Uncertainty in divergence time estimations influenced both the inference of ancestral ranges and the decisiveness with which an area can be assigned to a node.Main conclusions  By considering lineage divergence times, the DEC method gives more accurate reconstructions that are in agreement with palaeogeographical evidence. In contrast, Bayes-DIVA showed the highest decisiveness in unequivocally reconstructing ancestral ranges, probably reflecting its ability to integrate phylogenetic uncertainty. Care should be taken in defining the palaeogeographical model in DEC because of the possibility of overestimating the frequency of extinction events, or of inferring ancestral ranges that are outside the extant species ranges, owing to dispersal constraints enforced by the model. The wide-spanning spatial and temporal model proposed here could prove useful for testing large-scale biogeographical patterns in plants.

The influence of learning on evolution: a mathematical framework.

The Baldwin effect can be observed if phenotypic learning influences the evolutionary fitness of individuals, which can in turn accelerate or decelerate evolutionary change. Evidence for both learning-induced acceleration and deceleration can be found in the literature. Although the results for both outcomes were supported by specific mathematical or simulation models, no general predictions have been achieved so far. Here we propose a general framework to predict whether evolution benefits from learning or not. It is formulated in terms of the gain function, which quantifies the proportional change of fitness due to learning depending on the genotype value. With an inductive proof we show that a positive gain-function derivative implies that learning accelerates evolution, and a negative one implies deceleration under the condition that the population is distributed on a monotonic part of the fitness landscape. We show that the gain-function framework explains the results of several specific simulation models. We also use the gain-function framework to shed some light on the results of a recent biological experiment with fruit flies.

Partitioning of reproduction in mother-daughter versus sibling associations : a test of optimal skew theory

A critical feature of cooperative animal societies is the reproductive skew, a shorthand term for the degree to which a dominant individual monopolizes overall reproduction in the group. Our theoretical analysis of the evolutionarily stable skew in matrifilial (i.e., mother-daughter) societies, in which relatednesses to offspring are asymmetrical, predicts that reproductive skews in such societies should tend to be greater than those of semisocial societies (i.e., societies composed of individuals of the same generation, such as siblings), in which relatednesses to offspring are symmetrical. Quantitative data on reproductive skews in semisocial and matrifilial associations within the same species for 17 eusocial Hymenoptera support this prediction. Likewise, a survey of reproductive partitioning within 20 vertebrate societies demonstrates that complete reproductive monopoly is more likely to occur in matrifilial than in semisocial societies, also as predicted by the optimal skew model.

Oligopotent stem cells are distributed throughout the mammalian ocular surface.

The integrity of the cornea, the most anterior part of the eye, is indispensable for vision. Forty-five million individuals worldwide are bilaterally blind and another 135 million have severely impaired vision in both eyes because of loss of corneal transparency; treatments range from local medications to corneal transplants, and more recently to stem cell therapy. The corneal epithelium is a squamous epithelium that is constantly renewing, with a vertical turnover of 7 to 14 days in many mammals. Identification of slow cycling cells (label-retaining cells) in the limbus of the mouse has led to the notion that the limbus is the niche for the stem cells responsible for the long-term renewal of the cornea; hence, the corneal epithelium is supposedly renewed by cells generated at and migrating from the limbus, in marked opposition to other squamous epithelia in which each resident stem cell has in charge a limited area of epithelium. Here we show that the corneal epithelium of the mouse can be serially transplanted, is self-maintained and contains oligopotent stem cells with the capacity to generate goblet cells if provided with a conjunctival environment. Furthermore, the entire ocular surface of the pig, including the cornea, contains oligopotent stem cells (holoclones) with the capacity to generate individual colonies of corneal and conjunctival cells. Therefore, the limbus is not the only niche for corneal stem cells and corneal renewal is not different from other squamous epithelia. We propose a model that unifies our observations with the literature and explains why the limbal region is enriched in stem cells.