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Time-lagged associations between cognitive and cortical development from childhood to early adulthood.

Published on Jun 1, 2019in Developmental Psychology3.34
· DOI :10.1037/dev0000716
Eduardo Estrada2
Estimated H-index: 2
(UC Davis: University of California, Davis),
Emilio Ferrer31
Estimated H-index: 31
(UC Davis: University of California, Davis)
+ 2 AuthorsRoberto Colom Marañón42
Estimated H-index: 42
(UAM: Autonomous University of Madrid)
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Newest
Published on Dec 1, 2018in Nature Communications11.88
Monica D. Rosenberg14
Estimated H-index: 14
(Yale University),
B. J. Casey86
Estimated H-index: 86
(Yale University),
Avram J. Holmes35
Estimated H-index: 35
(Yale University)
A central aim of human neuroscience is understanding the neurobiology of cognition and behavior. Although we have made significant progress towards this goal, reliance on group-level studies of the developed adult brain has limited our ability to explain population variability and developmental changes in neural circuitry and behavior. In this review, we suggest that predictive modeling, a method for predicting individual differences in behavior from brain features, can complement descriptive ap...
Published on Jul 4, 2018in Structural Equation Modeling4.43
Michael N. Hallquist22
Estimated H-index: 22
(PSU: Pennsylvania State University),
Joshua F. Wiley11
Estimated H-index: 11
(Monash University)
MplusAutomation is a package for R that facilitates complex latent variable analyses in Mplus involving comparisons among many models and parameters. More specifically, MplusAutomation provides tools to accomplish 3 objectives: to create and manage Mplus syntax for groups of related models; to automate the estimation of many models; and to extract, aggregate, and compare fit statistics, parameter estimates, and ancillary model outputs. We provide an introduction to the package using applied exam...
Published on May 1, 2018in Intelligence2.61
Francisco J. Román13
Estimated H-index: 13
(UAM: Autonomous University of Madrid),
Daniel Morillo2
Estimated H-index: 2
(UAM: Autonomous University of Madrid)
+ 3 AuthorsRoberto Colom Marañón42
Estimated H-index: 42
(UAM: Autonomous University of Madrid)
Abstract The analysis of the relationships between cortical and intellectual development is a complex matter. Greater brain plasticity in brighter individuals has been suggested, but the associations between developmental cortical changes and variations in the general factor of intelligence ( g ) across time at the latent level have not been addressed. For filling this gap, here we relate longitudinal changes in g with developmental changes in cortical thickness and cortical surface area. One hu...
Published on Mar 1, 2018in Journal of Intelligence
Roberto Colom Marañón42
Estimated H-index: 42
,
Francisco J. Román13
Estimated H-index: 13
Research aimed at testing whether short-term training programs can enhance intelligence is mainly concentrated on behavior. Expected positive effects are found sometimes, but the evidence is far from conclusive. It is assumed that training must evoke changes in the brain for observing genuine improvements in behavior. However, behavioral and brain data are seldom combined in the same study. Here we present one example of this latter type of research summarizing, discussing, and integrating alrea...
Published on Feb 1, 2018in Brain and behavior2.07
Devasuda Anblagan8
Estimated H-index: 8
,
Maria del C. Valdés Hernández5
Estimated H-index: 5
+ 12 AuthorsJanie Corley28
Estimated H-index: 28
(Edin.: University of Edinburgh)
Published on 2018in bioRxiv
Julien Dubois11
Estimated H-index: 11
(Cedars-Sinai Medical Center),
Paola Galdi5
Estimated H-index: 5
(UNISA: University of Salerno)
+ 1 AuthorsRalph Adolphs93
Estimated H-index: 93
(California Institute of Technology)
Individual people differ in their ability to reason, solve problems, think abstractly, plan and learn. A reliable measure of this general ability, also known as intelligence, can be derived from scores across a diverse set of cognitive tasks. There is great interest in understanding the neural underpinnings of individual differences in intelligence, since it is the single best predictor of long-term life success. The most replicated neural correlate of human intelligence to date is total brain v...
Published on Dec 14, 2017in Psychological Bulletin16.41
Giovanni Sala8
Estimated H-index: 8
(University of Liverpool),
K. Semir Tatlidil1
Estimated H-index: 1
(University of Liverpool),
Fernand Gobet38
Estimated H-index: 38
(University of Liverpool)
© 2017 American Psychological Association. As a result of considerable potential scientific and societal implications, the possibility of enhancing cognitive ability by training has been one of the most influential topics of cognitive psychology in the last two decades. However, substantial research into the psychology of expertise and a recent series of meta-analytic reviews have suggested that various types of cognitive training (e.g., working memory training) benefit performance only in the t...
Published on 2017in Developmental Cognitive Neuroscience4.92
Rogier A. Kievit20
Estimated H-index: 20
(Cognition and Brain Sciences Unit),
Andreas M. Brandmaier12
Estimated H-index: 12
(MPG: Max Planck Society)
+ 7 AuthorsPeter Fonagy91
Estimated H-index: 91
(UCL: University College London)
Abstract Assessing and analysing individual differences in change over time is of central scientific importance to developmental neuroscience. However, the literature is based largely on cross-sectional comparisons, which reflect a variety of influences and cannot directly represent change. We advocate using latent change score (LCS) models in longitudinal samples as a statistical framework to tease apart the complex processes underlying lifespan development in brain and behaviour using longitud...
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Published on Aug 26, 2019in Multivariate Behavioral Research2.14
Eduardo Estrada2
Estimated H-index: 2
(UC Davis: University of California, Davis),
Fumiaki Hamagami19
Estimated H-index: 19
,
Emilio Ferrer31
Estimated H-index: 31
(UC Davis: University of California, Davis)
AbstractAccelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow res...