1,240 research outputs found
Consumption-Driven Environmental Impact and Age Structure Change in OECD Countries
No full textThis paper examines two environmental impacts for which population has a substantial demonstrated influence: transport carbon emissions and residential electricity consumption. It takes as its starting point the STIRPAT framework and disaggregates population into four key age groups: 20-34, 35-49, 50-69, and 70 and older. Population age structure’s influence was significant and varied across cohorts, and its profile was different for two dependent variables. For transport, young adults (20-34) were intensive, whereas the other cohorts had negative coefficients. For residential electricity consumption, age structure had a U-shaped impact: the youngest and oldest had positive coefficients, while the middle cohorts had negative coefficients.demography, environment, FMOLS panel cointegration, GHG emissions projections, IPAT, STIRPAT
Motivational incentives and methylphenidate enhance electrophysiological correlates of error monitoring in children with attention deficit/hyperactivity disorder
No full textBackground
Children with attention deficit hyperactivity disorder (ADHD) are characterised by developmentally inappropriate levels of hyperactivity, impulsivity and/or inattention and are particularly impaired when performing tasks that require a high level of cognitive control. Methylphenidate (MPH) and motivational incentives may help improve cognitive control by enhancing the ability to monitor response accuracy and regulate performance accordingly.
Methods
Twenty-eight children with DSM-IV ADHD (combined type) aged 9–15 years and pairwise-matched typically developing children (CTRL) performed a go/no-go task in which the incentives attached to performance on no-go trials were manipulated. The ADHD group performed the task off and on their usual dose of MPH. CTRL children performed the task twice but were never medicated. EEG data were recorded simultaneously and two electrophysiological indices of error monitoring, the error-related negativity (ERN) and error positivity (Pe) were measured. Amplitudes of each ERP were compared between diagnostic groups (CTRL, ADHD), medication days (Off MPH, On MPH) and motivational conditions (baseline – low incentive, reward, response cost).
Results
Error rates were lower in the reward and response cost conditions compared with baseline across diagnostic groups and medication days. ERN and Pe amplitudes were significantly reduced in ADHD compared with CTRL, and were significantly enhanced by MPH. Incentives significantly increased ERN and Pe amplitudes in the ADHD group but had no effect in CTRL. The effects of incentives did not interact with the effects of MPH on either ERP. Effect sizes were computed and revealed larger effects of MPH than incentives on ERN and Pe amplitudes.
Conclusions
The findings reveal independent effects of motivational incentives and MPH on two electrophysiological markers of error monitoring in children with ADHD, suggesting that each may be important tools for enhancing or restoring cognitive control in these children
Brileyetal2018_FigS2.tif
No full textFigure S2 associated with Briley PM, Liddle EB, Groom MJ, Smith HJF, Morris PG, Colclough GL, Brookes MJ, Liddle PF (2018). The development of human electrophysiological brain networks. Journal of Neurophysiology.The differences in beta band connectivity between adults and adolescents (A) and between adolescents and children (B). Connectivities are averaged across the pairs of ROIs within each of the four networks. See also Figure 3D, which shows the differences between adults and children. Asterisks show uncorrected p-values: * p</div
Task-related default mode network modulation and inhibitory control in ADHD: effects of motivation and methylphenidate
No full textBackground: Deficits characteristic of Attention Deficit/Hyperactivity Disorder (ADHD), including poor attention and inhibitory control, are at least partially alleviated by factors that increase engagement of attention, suggesting a hypodopaminergic reward deficit. Lapses of attention are associated with attenuated deactivation of the Default Mode Network (DMN), a distributed brain system normally deactivated during tasks requiring attention to the external world. Task-related DMN deactivation has been shown to be attenuated in ADHD relative to controls. We hypothesised that motivational incentives to balance speed against restraint would increase task engagement during an inhibitory control task, enhancing DMN deactivation in ADHD. We also hypothesised that methylphenidate, an indirect dopamine agonist, would tend to normalise abnormal patterns of DMN deactivation.
Method: We obtained functional magnetic resonance images from eighteen methylphenidate-responsive children with ADHD (DSM-IV combined subtype) and 18 pairwise-matched typically developing children aged 9-15 years while they performed a paced Go/No-go task. We manipulated motivational incentive to balance response speed against inhibitory control, and tested children with ADHD both on and off methylphenidate.
Results: When children with ADHD were off-methylphenidate and task incentive was low, event-related DMN deactivation was significantly attenuated compared to controls, but the two groups did not differ under high motivational incentives. The modulation of DMN deactivation by incentive in the children with ADHD, off- methylphenidate, was statistically significant, and significantly greater than in typically developing children. When children with ADHD were on-methylphenidate, motivational modulation of event-related DMN deactivation was abolished, and no attenuation relative to their typically developing peers was apparent in either motivational condition.
Conclusions: During an inhibitory control task, children with ADHD exhibit a raised motivational threshold at which task-relevant stimuli become sufficiently salient to deactivate the DMN. Treatment with methylphenidate normalises this threshold, rendering their pattern of task-related DMN deactivation indistinguishable from that of typically developing children
Brileyetal2018_FigS1.tif
No full textFigure S1 associated with Briley PM, Liddle EB, Groom MJ, Smith HJF, Morris PG, Colclough GL, Brookes MJ, Liddle PF (2018). The development of human electrophysiological brain networks. Journal of Neurophysiology.The within-network beta band connectivity for the DMN as a function of age, before (grey diamonds, dashed line) and after (blue squares, solid line) adjustment for variation in head size and shape across participants. Symbols show individual participants and lines show model fits. Fitted values of the parameter governing the initial rate of increase of connectivity with age (α3, which has units years-1) are given in the legend. </div
AUTHOR CONTRIBUTION
No full textConception or design of the study: Silva AC, Silva LG, Souza ARS, Martins, AKL, Gomes EB. Data collection: Silva AC, Silva LG, Souza ARS. Analysis and interpretation of the data: Silva AC, Silva LG, Souza ARS. Writing of the article or critical review: Silva AC, Gomes EB. Final approval of the version to be published: Silva AC, Martins, AKL, Oliveira CJ, Alencar AMPG, Gomes EB
Supporting safe motherhood : a review of financial trends : summary
No full textAn estimated 500,000 women, 99 percent of them from the developing world, die each year from pregnancy-related causes. About three quarters of these deaths are the direct result of obstetrical complications -- hemorrhage, infection, toxemia, obstructed labor, and abortion (under primitive and illegal conditions). An estimated equivalent number of infants do not survive their mother's death. For surviving mothers, the consequences of pregnancy have a severe impact on health and family economics. The strategy for safe motherhood is based on two approaches. First, the encouragement of activities that indirectly improve maternal health. These include education, policies to improve women's rights and working conditions, health care and nutrition, transportation and communication systems, water and sanitation facilities, and increases in family income and food production. The second approach targets activities to reduce maternal deaths. These activities include reducing unwanted pregnancies through the provision of family planning services, and through national policies that recognize the importance of this issue. A second objective is to reduce the risks of pregnancy through providing community-based family planning and prenatal services to identify high-risk cases'adequate referral services for the complications of pregnancy, and communication and transport systems to support patient referral procedures.Health Monitoring&Evaluation,Health Systems Development&Reform,Gender and Health,Early Child and Children's Health,Agricultural Knowledge&Information Systems
AUTHOR CONTRIBUTION
No full textConception or design of the study: Silva AC, Silva LG, Souza ARS, Martins, AKL, Gomes EB. Data collection: Silva AC, Silva LG, Souza ARS. Analysis and interpretation of the data: Silva AC, Silva LG, Souza ARS. Writing of the article or critical review: Silva AC, Gomes EB. Final approval of the version to be published: Silva AC, Martins, AKL, Oliveira CJ, Alencar AMPG, Gomes EB
AUTHOR CONTRIBUTION
No full textConception or design of the study: Silva AC, Silva LG, Souza ARS, Martins, AKL, Gomes EB. Data collection: Silva AC, Silva LG, Souza ARS. Analysis and interpretation of the data: Silva AC, Silva LG, Souza ARS. Writing of the article or critical review: Silva AC, Gomes EB. Final approval of the version to be published: Silva AC, Martins, AKL, Oliveira CJ, Alencar AMPG, Gomes EB
Brileyetal2018_FigS3.tif
No full textFigure S3 associated with Briley PM, Liddle EB, Groom MJ, Smith HJF, Morris PG, Colclough GL, Brookes MJ, Liddle PF (2018). The development of human electrophysiological brain networks. Journal of Neurophysiology.The between-network beta band connectivity for the visual network and each of the three cognitive networks separately. Symbols show individual participants and lines show model fits. Fitted values of the parameter governing the initial rate of increase of connectivity with age (α3, which has units years-1) are given in the legend. In each case, the connectivity increased across childhood but reached a lower value than that reached by the connectivity between the cognitive networks. For comparison, the dashed black line shows the model fit for the connectivity between the DMN and FPN (same as solid blue line in Fig. 4B, symbols not shown). </div
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