scholarly journals Attention control: The missing link between sensory discrimination and intelligence

2020 ◽  
Author(s):  
Jason S. Tsukahara ◽  
Tyler L. Harrison ◽  
Christopher Draheim ◽  
Jessie Martin ◽  
Randall W Engle
Keyword(s):  
Cognitive Abilities ◽  
Structural Equation ◽  
Large Scale ◽  
Intelligence Testing ◽  
Working Memory Capacity ◽  
Open Science ◽  
Attention Control ◽  
Sensory Discrimination ◽  
Modelling Studies ◽  
Science Framework

Intelligence is correlated with the ability to make fine sensory discriminations. Although this relationship has been known since the beginning of intelligence testing, the mechanisms underlying this relationship are still unknown. In two large-scale structural equation modelling studies, we investigated whether individual differences in attention control abilities can explain the relationship between sensory discrimination and intelligence. Across the two studies, we replicated the finding that attention control fully mediated the relationships of intelligence/working memory capacity to sensory discrimination. Our findings show that attention control plays a prominent role in relating sensory discrimination to higher-order cognitive abilities. [Data, analysis scripts, and results output are available via the Open Science Framework: https://osf.io/hsqru/]

scholarly journals Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1030
Author(s):  
Julie Lake ◽  
Catherine S. Storm ◽  
Mary B. Makarious ◽  
Sara Bandres-Ciga
Keyword(s):  
Neurodegenerative Diseases ◽  
Large Scale ◽  
Disease Diagnosis ◽  
Open Science ◽  
Future Directions ◽  
The Road ◽  
Current State ◽  
Molecular Complexity ◽  
Science Framework ◽  
Lateral Sclerosis

Neurodegenerative diseases are etiologically and clinically heterogeneous conditions, often reflecting a spectrum of disease rather than well-defined disorders. The underlying molecular complexity of these diseases has made the discovery and validation of useful biomarkers challenging. The search of characteristic genetic and transcriptomic indicators for preclinical disease diagnosis, prognosis, or subtyping is an area of ongoing effort and interest. The next generation of biomarker studies holds promise by implementing meaningful longitudinal and multi-modal approaches in large scale biobank and healthcare system scale datasets. This work will only be possible in an open science framework. This review summarizes the current state of genetic and transcriptomic biomarkers in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis, providing a comprehensive landscape of recent literature and future directions.

scholarly journals Collaboration and Open Science Initiatives in Primate Research

2021 ◽  
Author(s):  
ManyPrimates ◽  
Alba Motes Rodrigo ◽  
Charlotte Canteloup ◽  
Sonja J. Ebel ◽  
Christopher I Petkov ◽  
...  
Keyword(s):  
Cognitive Abilities ◽  
Large Scale ◽  
Open Science ◽  
Small Sample ◽  
Primate Research ◽  
Research Model ◽  
Primate Cognition ◽  
History Of ◽  
Small Sample Sizes ◽  
Successful Collaboration

Traditionally, primate cognition research has been conducted by independent teams on small populations of a few species. Such limited variation and small sample sizes pose problems that prevent us from reconstructing the evolutionary history of primate cognition. In this chapter, we discuss how large-scale collaboration, a research model successfully implemented in other fields, makes it possible to obtain the large and diverse datasets needed to conduct robust comparative analysis of primate cognitive abilities. We discuss the advantages and challenges of large-scale collaborations and argue for the need for more open science practices in the field. We describe these collaborative projects in psychology and primatology and introduce ManyPrimates as the first, successful collaboration that has established an infrastructure for large-scale, inclusive research in primate cognition. Considering examples of large-scale collaborations both in primatology and psychology, we conclude that this type of research model is feasible and has the potential to address otherwise unattainable questions in primate cognition.

scholarly journals Testing the Attention-Distractibility Trait

2020 ◽  
Author(s):  
Matt Ethan Meier
Keyword(s):  
Working Memory ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Mind Wandering ◽  
Open Science ◽  
Hyperactivity Disorder ◽  
Science Framework ◽  
Thought Probes ◽  
Task Irrelevant ◽  
And Task

Forster and Lavie (2014, 2016) found that task-irrelevant distraction correlated positively with a measure of mind-wandering and a report of Attention Deficit Hyperactivity Disorder (ADHD) symptomology. Based primarily on these results, Forster and Lavie claimed to establish an attention-distractibility trait. Here, I sought to replicate the associations among measures of task-irrelevant distraction, mind wandering, and ADHD symptomology, and to test if these associations could be distinguished from associations with working memory capacity and task-relevant distraction. With data collected from two hundred and twenty-six subjects (ns differ among analyses), the results from the current study suggest that the measure of task-irrelevant distraction is not (or only very weakly) associated with measures of mind wandering (measured both with a stand-alone questionnaire and in-task thought probes) and ADHD symptomology. Additionally, the measure of irrelevant-distraction exhibited low internal consistency suggesting that (as measured) it is not capable of being a an individual differences measure. [Preregistration, data, analysis scripts and output are available via the Open Science Framework: https://osf.io/bhs24/].

scholarly journals Ritual, Identity Fusion, and the Inauguration of President Trump: A pseudo-experiment of Ritual Modes theory

2018 ◽  
Author(s):  
Rohan Kapitány ◽  
Christopher Michael Kavanagh ◽  
Michael Buhrmester ◽  
Martha Newson ◽  
Harvey Whitehouse
Keyword(s):  
Large Scale ◽  
Emotional Responses ◽  
Open Science ◽  
Social Identities ◽  
Self Reflection ◽  
The Us ◽  
Identity Fusion ◽  
Science Framework ◽  
Fusion Theory ◽  
Diverse Groups

The US Presidential Inauguration is a symbolic event which arouses significant emotional responses among diverse groups, and is of considerable significance to Americans’ personal and social identities. We argue that the inauguration qualifies as an Imagistic Ritual (Whitehouse, 2004). Such ritual experiences are thought to produce identity fusion: a visceral sense of oneness with the group. The 2017 Inauguration of President Trump was a unique opportunity to examine how a large-scale naturalistic imagistic ritual influences the social identities of Americans who supported and opposed President Trump. We conducted a pre-registered 7-week longitudinal investigation among an online sample of Americans in order to examine how President Trump’s Inauguration influenced identity fusion. One core prediction was that the affective responses to the inauguration would predict positive changes in fusion, mediated by self-reflection. We did not find support for this. However, the inauguration was associated with flashbulb-like memories, and positive emotional response at the time of the event predicted changes in fusion to both ingroup and outgroup targets. Finally, both positive and negative emotional responses inspired self-reflection, but did not mediate the relationship with fusion. We discuss the implications of our findings for models linking group psychology, fusion theory, and ritual modes. All material available at the Open Science Framework: https://bit.ly/2Qu0G37.

scholarly journals Individual differences in working memory capacity, attention control, fluid intelligence, and pupillary measures of arousal

2021 ◽  
Author(s):  
Matthew Kyle Robison ◽  
Gene Arnold Brewer
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Abilities ◽  
Fluid Intelligence ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Future Research ◽  
Control Fluid ◽  
Thought Probes

The present study examined individual differences in three cognitive abilities: attention control (AC), working memory capacity (WMC), and fluid intelligence (gF) as they relate the tendency to experience task-unrelated thoughts (TUTs) and the regulation of arousal. Cognitive abilities were measured with a battery of nine laboratory tasks, TUTs were measured via thought probes inserted into two tasks, and arousal regulation was measured via pupillometry. Recent theorizing (Robison & Unsworth, 2017a) suggests that one reason why some people experience relatively frequent TUTs and relatively poor cognitive performance - especially AC and WMC - is that they exhibit dysregulated arousal. Here, we examined how arousal regulation might predict both AC and WMC, but also higher-order cognitive abilities like gF. Further, we examine direct and indirect associations with these abilities via a mediating influence of TUT. Participants who reported more TUTs also tended to exhibit poorer AC, lower WMC, and lower gF. Arousal dysregulation correlated with more TUTs and lower AC. However there was no direct correlation between arousal regulation and WMC, nor between arousal regulation and gF. Rather, the associations between arousal regulation, WMC, and gF were indirect via TUT. We discuss the implications of the results in light of the arousal regulation theory of individual differences and directions for future research.

scholarly journals Presence-only and Presence-absence Data for Comparing Species Distribution Modeling Methods

2020 ◽  
Vol 15 (2) ◽  
pp. 69-80
Author(s):  
Jane Elith ◽  
Catherine Graham ◽  
Roozbeh Valavi ◽  
Meinrad Abegg ◽  
Caroline Bruce ◽  
...  
Keyword(s):  
Species Distribution ◽  
Large Scale ◽  
R Package ◽  
Open Science ◽  
Species Occurrence ◽  
Distribution Models ◽  
Algorithm Performance ◽  
Modeling Methods ◽  
Science Framework ◽  
Occurrence Records

Species distribution models (SDMs) are widely used to predict and study distributions of species. Many different modeling methods and associated algorithms are used and continue to emerge. It is important to understand how different approaches perform, particularly when applied to species occurrence records that were not gathered in struc­tured surveys (e.g. opportunistic records). This need motivated a large-scale, collaborative effort, published in 2006, that aimed to create objective comparisons of algorithm performance. As a benchmark, and to facilitate future comparisons of approaches, here we publish that dataset: point location records for 226 anonymized species from six regions of the world, with accompanying predictor variables in raster (grid) and point formats. A particularly interesting characteristic of this dataset is that independent presence-absence survey data are available for evaluation alongside the presence-only species occurrence data intended for modeling. The dataset is available on Open Science Framework and as an R package and can be used as a benchmark for modeling approaches and for testing new ways to evaluate the accuracy of SDMs.

scholarly journals Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities

2021 ◽  
Vol 118 (23) ◽  
pp. e2022288118
Author(s):  
Rong Wang ◽  
Mianxin Liu ◽  
Xinhong Cheng ◽  
Ying Wu ◽  
Andrea Hildebrandt ◽  
...  
Keyword(s):  
Cognitive Abilities ◽  
Structural Equation ◽  
Large Scale ◽  
Functional Organization ◽  
Diffusion Tensor ◽  
Brain Activity ◽  
Brain Networks ◽  
Deep Understanding ◽  
Human Cognition ◽  
Equation Modeling

Diverse cognitive processes set different demands on locally segregated and globally integrated brain activity. However, it remains an open question how resting brains configure their functional organization to balance the demands on network segregation and integration to best serve cognition. Here we use an eigenmode-based approach to identify hierarchical modules in functional brain networks and quantify the functional balance between network segregation and integration. In a large sample of healthy young adults (n = 991), we combine the whole-brain resting state functional magnetic resonance imaging (fMRI) data with a mean-filed model on the structural network derived from diffusion tensor imaging and demonstrate that resting brain networks are on average close to a balanced state. This state allows for a balanced time dwelling at segregated and integrated configurations and highly flexible switching between them. Furthermore, we employ structural equation modeling to estimate general and domain-specific cognitive phenotypes from nine tasks and demonstrate that network segregation, integration, and their balance in resting brains predict individual differences in diverse cognitive phenotypes. More specifically, stronger integration is associated with better general cognitive ability, stronger segregation fosters crystallized intelligence and processing speed, and an individual’s tendency toward balance supports better memory. Our findings provide a comprehensive and deep understanding of the brain’s functioning principles in supporting diverse functional demands and cognitive abilities and advance modern network neuroscience theories of human cognition.

Attention and Intelligence

2009 ◽  
Vol 30 (1) ◽  
pp. 44-57 ◽  
Author(s):  
Nicholas R. Burns ◽  
Ted Nettelbeck ◽  
Jason McPherson
Keyword(s):  
Working Memory ◽  
Cognitive Ability ◽  
Sustained Attention ◽  
Cognitive Abilities ◽  
Latent Variables ◽  
Structural Equation ◽  
Working Memory Capacity ◽  
Measurement Model ◽  
Equation Modeling ◽  
General Factor

Carroll (1993 ) found few factor-analytic studies that addressed attentional abilities. We reviewed and reanalyzed some of these studies and concluded that an exploratory approach to the study of the relationships between tests of attention and cognitive abilities was warranted. We sampled N = 147 adults from the general community and administered 17 tests of attention, including well-known neuropsychological tests along with tests drawn from the differential and experimental literatures on attention. We also administered 14 tests of cognitive ability designed to measure constructs described in Carroll’s taxonomy of intelligence, including a higher-order general ability factor. Regression of a general factor from the abilities battery onto a general factor from the attentional battery showed these two latent variables to be near identical (β = .98). Exploratory structural equation modeling, which allowed a model wherein the abilities part of the model was a confirmatory measurement model but the attention variables were modeled by three rotated exploratory factors, clarified this outcome. There were two sustained attention factors and one working-memory capacity factor with differential relationships with the latent abilities variables and with age. Results are discussed in the context of the network of processes that underlies a description of general cognitive ability at the psychological level, which includes mental speed, working memory, and sustained attention.

Cognitive Perspectives of Working Memory Training

2019 ◽  
pp. 3-13
Author(s):  
Kenny Hicks ◽  
Randall W. Engle
Keyword(s):  
Working Memory ◽  
Cognitive Abilities ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Working Memory Training ◽  
Attention Control ◽  
Memory Training ◽  
Posttest Performance ◽  
The Difference ◽  
Cognitive Perspectives

Working memory training is an emergent field aimed at improving general cognitive abilities through targeted brain exercises. The prospect of improving cognitive abilities, such as attention control, comprehension, and reasoning, has piqued the interest of the scientific community and the general public alike. If cognitive abilities like working memory capacity can be improved, it is assumed that this improvement will result in benefits to a broad range of real-world abilities associated with working memory capacity, including reading comprehension, math performance, and attention control. Thus, the goal of working memory training is to demonstrate broad transfer to tasks that involve the same components of working memory that were targeted during training. Therefore, improvements should be observed on a broad range of tasks that tap the ability being trained. This is measured by observing the difference between pre- and posttest performance on cognitive tasks that subjects have not practiced. The aim of this chapter is to summarize the extant literature on working memory training and then to pose a series of questions to researchers investigating the efficacy of working memory training.

scholarly journals Cognitive Abilities Explain Wording Effects in the Rosenberg Self-Esteem Scale

Assessment ◽  
2017 ◽  
Vol 27 (2) ◽  
pp. 404-418 ◽  
Author(s):  
Timo Gnambs ◽  
Ulrich Schroeders
Keyword(s):  
Factor Structure ◽  
Cognitive Abilities ◽  
Latent Variable ◽  
Structural Equation ◽  
Large Scale ◽  
Structural Equation Models ◽  
Common Factor ◽  
Self Esteem ◽  
Specific Factor ◽  
Measurement Models

There is consensus that the 10 items of the Rosenberg Self-Esteem Scale (RSES) reflect wording effects resulting from positively and negatively keyed items. The present study examined the effects of cognitive abilities on the factor structure of the RSES with a novel, nonparametric latent variable technique called local structural equation models. In a nationally representative German large-scale assessment including 12,437 students competing measurement models for the RSES were compared: a bifactor model with a common factor and a specific factor for all negatively worded items had an optimal fit. Local structural equation models showed that the unidimensionality of the scale increased with higher levels of reading competence and reasoning, while the proportion of variance attributed to the negatively keyed items declined. Wording effects on the factor structure of the RSES seem to represent a response style artifact associated with cognitive abilities.

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