Search results for "attention"
showing 10 items of 934 documents
DEVELOPING AND MEASURING ATTENTION IN BOXERS: MIXED COACHES’ EXPERTISE AND REACTION TIME MEASURES
2020
This study explored the problem of attention and its development in young boxers. A rapidly changing situation and a high level of traumatization in boxing are demanding the development of athletes’ attention. Focusing on technical or motivational training is among the reasons for underestimating the development of attentional skills. Study 1 involved seven expert coaches (males, mean age 45.4, mean working experience 20.3 years). The results revealed a relatively high assessment of the psychological component of training and a low agreement on the development of attentional skills. Coaches indicated that testing is the best measurement of attention. Study 2 focused on the measurement of re…
A comparative meta-analysis of TEMPS scores across mood disorder patients, their first-degree relatives, healthy controls, and other psychiatric diso…
2016
Background The Temperament Evaluation Memphis, Pisa, Paris and San Diego Auto-questionnaire (TEMPS) is validated to assess temperament in clinical and non-clinical samples. Scores vary across bipolar disorder (BD), major depressive disorder (MDD), attention-deficit/hyperactivity disorder (ADHD), borderline personality disorder (BPD) and healthy controls (HCs), but a meta-analysis is missing. Methods Meta-analysis of studies comparing TEMPS scores in patients with mood disorders or their first-degree relatives to each other, or to a psychiatric control group or HCs. Results Twenty-six studies were meta-analyzed with patients with BD (n= 2025), MDD (n=1283), ADHD (n=56) and BPD (n=43), relati…
Digital Trace Data in the Study of Public Opinion
2016
In this article, we examine the relationship between metrics documenting politics-related Twitter activity with election results and trends in opinion polls. Various studies have proposed the possibility of inferring public opinion based on digital trace data collected on Twitter and even the possibility to predict election results based on aggregates of mentions of political actors. Yet, a systematic attempt at a validation of Twitter as an indicator for political support is lacking. In this article, building on social science methodology, we test the validity of the relationship between various Twitter-based metrics of public attention toward politics with election results and opinion pol…
A Sentiment Enhanced Deep Collaborative Filtering Recommender System
2021
Recommender systems use advanced analytic and learning techniques to select relevant information from massive data and inform users’ smart decision-making on their daily needs. Numerous works exploiting user’s sentiments on products to enhance recommendations have been introduced. However, there has been relatively less work exploring higher-order user-item features interactions for sentiment enhanced recommender system. In this paper, a novel Sentiment Enhanced Deep Collaborative Filtering Recommender System (SE-DCF) is developed. The architecture is based on a Neural Attention network component aggregated with the output predictions of a Convolution Neural Network (CNN) recommender. Speci…
Externalizing Behaviors and Cigarette Smoking as Predictors for Use of Illicit Drugs: A Longitudinal Study Among Finnish Adolescent Twins
2010
We examined whether externalizing problem behaviors (hyperactivity–impulsivity, aggressiveness, and inattention) predict illicit drug use independently, or whether their associations with drug use are mediated through cigarette smoking. We used a prospective longitudinal design within theFinnTwin12-17study among Finnish adolescents with baseline at age 12 and follow-up surveys at ages 14 and 17. Path models were conducted withMplusand included 1992 boys and 2123 girls. The outcome was self-reported ever use of cannabis or other illicit drugs at age 17. The predictors were: externalizing behaviors (hyperactivity–impulsivity, aggressiveness, and inattention) assessed by teachers and parents (…
SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline
2021
The Sustained Attention to Response Task (SART) has been used to measure neurocognitive functions in older adults. However, simplified average features of this complex dataset may result in loss of primary information and fail to express associations between test performance and clinically meaningful outcomes. Here, we describe a new method to visualise individual trial (raw) information obtained from the SART test, vis-à-vis age, and groups based on mobility status in a large population-based study of ageing in Ireland. A thresholding method, based on the individual trial number of mistakes, was employed to better visualise poorer SART performances, and was statistically validated with bin…
The ATXN1 and TRIM31 genes are related to intelligence in an ADHD background: evidence from a large collaborative study totaling 4,963 subjects
2010
Contains fulltext : 96400.pdf (Publisher’s version ) (Closed access) Intelligence is a highly heritable trait for which it has proven difficult to identify the actual genes. In the past decade, five whole-genome linkage scans have suggested genomic regions important to human intelligence; however, so far none of the responsible genes or variants in those regions have been identified. Apart from these regions, a handful of candidate genes have been identified, although most of these are in need of replication. The recent growth in publicly available data sets that contain both whole genome association data and a wealth of phenotypic data, serves as an excellent resource for fine mapping and …
Polygenic association between attention-deficit/hyperactivity disorder liability and cognitive impairments.
2022
AbstractBackgroundA recent genome-wide association study (GWAS) identified 12 independent loci significantly associated with attention-deficit/hyperactivity disorder (ADHD). Polygenic risk scores (PRS), derived from the GWAS, can be used to assess genetic overlap between ADHD and other traits. Using ADHD samples from several international sites, we derived PRS for ADHD from the recent GWAS to test whether genetic variants that contribute to ADHD also influence two cognitive functions that show strong association with ADHD: attention regulation and response inhibition, captured by reaction time variability (RTV) and commission errors (CE).MethodsThe discovery GWAS included 19 099 ADHD cases …
Étude exploratoire de l’effet d’un amorçage olfactif sur les biais attentionnels chez des adultes normo-pondéraux, en surpoids et obèses
2018
National audience; Introduction Hendrikse et al. [1] mettent en évidence des biais attentionnels (le fait que notre attention soit attirée par certains stimuli plus perceptivement saillants que d’autres dans l’environnement) différents selon le statut pondéral des individus. Ces biais attentionnels sont exacerbés chez les individus en surpoids et obèses face à des stimuli alimentaires à haute densité énergétique [2]. Ces biais semblent jouer un rôle dans le développement et dans le maintien de l'obésité. Notre étude se propose d’étudier les biais attentionnels chez des adultes normo-pondéraux (NP), en surpoids (SP) et obèses (OB) ainsi que les effets d’odeurs alimentaires sur ces biais, en …
Electrophysiological evidence for the effectiveness of images versus text in warnings
2023
AbstractWarning sign plays an important role in risk avoidance. Many studies have found that images are better warnings than text, while others have revealed flaws of image-only warning signs. To better understand the factors underlying the effectiveness of different types of warning signs (image only, text only, or image and text), this study adopted event-related potential technology to explore the differences at the neurocognitive level using the oddball paradigm and the Go/No-go paradigm. Together, the behavioral and electroencephalogram results showed that text-only warnings had the lowest effectiveness, but there was little difference between the image-only and image-and-text warnings…