6 research outputs found

    Probing the function of neuronal populations : combining micromirror-based optogenetic photostimulation with voltage-sensitive dye imaging

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    Author Posting. © The Author(s), 2012. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Neuroscience Research 75 (2013): 76-81, doi:10.1016/j.neures.2012.11.006.Recent advances in our understanding of brain function have come from using light to either control or image neuronal activity. Here we describe an approach that combines both techniques: a micromirror array is used to photostimulate populations of presynaptic neurons expressing channelrhodopsin-2, while a red-shifted voltage-sensitive dye allows optical detection of resulting postsynaptic activity. Such technology allowed us to control the activity of cerebellar interneurons while simultaneously recording inhibitory responses in multiple Purkinje neurons, their postsynaptic targets. This approach should substantially accelerate our understanding of information processing by populations of neurons within brain circuits.This work was supported by a Grass Foundation fellowship, National Institutes of Health (NIH grant: R01 EB001963), Duke‐NUS Signature Research Program (SRP) block grant, CRP grant from the National Research Foundation (Singapore) and by the World Class Institute (WCI) Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology of Korea (MEST) (NRF Grant Number: WCI 2009-003)

    The Effect of Older Sibling, Postnatal Maternal Stress, and Household Factors on Language Development in Two-to Four-Year-Old Children

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    Previous literature has shown that family structure affects language development. Here, factors relating to older siblings (their presence in the house, sex and age gap), mothers (maternal stress) and household size and residential crowding were examined to systematically examine the different role of these factors. Data from mother-child dyads in a Singaporean birth cohort, (677-855 dyads; 52% males; 58-61% Chinese, 20-24% Malay, 17-19% Indian) collected when children were 24-, 48-, and 54-months old, were analysed. There was a negative effect of having an older sibling, moderated by the siblings’ age gap, but not by the older sibling’s sex, nor household size or residential crowding. Maternal stress affected language outcomes in some analyses but not others. Implications for understanding the effect of family structure on language development are discussed

    The Effect of Older Sibling, Postnatal Maternal Stress, and Household Factors on Language Development in Two- to Four-Year-Old Children

    No full text
    Previous literature has shown that family structure affects language development. Here, factors relating to older siblings (their presence in the house, sex and age gap), mothers (maternal stress) and household size and residential crowding were examined to systematically examine the different role of these factors. Data from mother-child dyads in a Singaporean birth cohort, (677-855 dyads; 52% males; 58-61% Chinese, 20-24% Malay, 17-19% Indian) collected when children were 24-, 48-, and 54-months old, were analysed. There was a negative effect of having an older sibling, moderated by the siblings’ age gap, but not by the older sibling’s sex, nor household size or residential crowding. Maternal stress affected language outcomes in some analyses but not others. Implications for understanding the effect of family structure on language development are discussed

    Parental and child genetic burden of glycaemic dysregulation and early-life cognitive development: an Asian and European prospective cohort study

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    Insulin resistance and glucose metabolism have been associated with neurodevelopmental disorders. However, in the metabolically more susceptible Asian populations, it is not clear whether the genetic burden of glycaemic dysregulation influences early-life neurodevelopment. In a multi-ethnic Asian prospective cohort study in Singapore (Growing Up in Singapore Towards healthy Outcomes (GUSTO)), we constructed child and parental polygenic risk scores (PRS) for glycaemic dysregulation based on the largest genome-wide association studies of type 2 diabetes and fasting glucose among Asians. We found that child PRS for HOMA-IR was associated with a lower perceptual reasoning score at ~7 years (β=-0. 141, p-value=0.024, 95%CI -0. 264 to -0. 018) and a lower WIAT-III mean score at ~9 years (β=-0.222, p-value=0.001, 95%CI -0.357 to -0.087). This association were consistent in direction among boys and girls. These inverse associations were not influenced by parental PRS and were likely mediated via insulin resistance rather than mediators such as birth weight and childhood body mass index. Higher paternal PRS for HOMA-IR was suggestively associated with lower child perceptual reasoning at ~7 years (β=-0.172, p-value=0.002, 95%CI -0.280 to -0.064). Replication analysis in a European cohort, the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort, showed that higher child PRS for fasting glucose was associated with lower verbal IQ score while higher maternal PRS for insulin resistance was associated with lower performance IQ score in their children at ~8.5 years. In summary, our findings suggest that higher child PRS for HOMA-IR was associated with lower cognitive scores in both Asian and European replication cohorts. Differential findings between cohorts may be attributed to genetic and environmental factors. Further investigation of the functions of the genetic structure and ancestry-specific PRS and a more comprehensive investigation of behavioural mediators may help to understand these findings better

    Utilising Computerised Adaptive Testing to Alleviate Respondent Burden in Maternal Stress Assessment

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    Maternal mental health plays a pivotal role in perinatal care, with far-reaching implications for both maternal well-being and child development. Amidst global challenges like the COVID-19 pandemic, the demand for effective mental health assessment has surged. In response, this study investigates the utility of Computerised Adaptive Testing (CAT) for profiling maternal stress. Using the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) dataset, we focused on the Maternal Stress module, comprising the Perceived Stress Scale (PSS) and Parental Stress Index (PSI). We generated an item pool from both scales and employed the Graded Response Model (GRM) for calibration. A final item bank of 105 items was consolidated. Using the Concerto software, we devised a CAT questionnaire for test administration. We then used the 'Firestar' R package to simulate the CAT with various stopping criteria, revealing substantial question reduction (up to 84.8%) while still maintaining high correlations with true theta scores (up to 99.9%). Nonetheless, limitations include assumptions in simulations, item calibration, and a specific focus on maternal stress. This study underscores CAT's potential to streamline assessments, enhancing perinatal mental health evaluations, while signaling the need to further explore CAT’s potential in this domain
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