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Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Andéol Cadic-Melchior; Henning Müller; Roger Schaer; Leonardo G. Cohen; Friedhelm C. Hummel – npj Science of Learning, 2024
Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. Brain stimulation shows potential to enhance these functions, but studies show variable effects. Previous studies have tried to identify responders and non-responders through correlations between behavioral change and…
Descriptors: Age Differences, Neurosciences, Prediction, Brain
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Schubert, Anna-Lena; Hagemann, Dirk; Löffler, Christoph; Frischkorn, Gidon T. – Journal of Intelligence, 2020
Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it…
Descriptors: Intelligence, Aging (Individuals), Age Differences, Individual Differences
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Perone, Sammy; Plebanek, Daniel J.; Lorenz, Megan G.; Spencer, John P.; Samuelson, Larissa K. – Child Development, 2019
Executive function (EF) plays a foundational role in development. A brain-based model of EF development is probed for the experiences that strengthen EF in the dimensional change card sort task in which children sort cards by one rule and then are asked to switch to another. Three-year-olds perseverate on the first rule, failing the task, whereas…
Descriptors: Executive Function, Role, Child Development, Toddlers
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Murphy, Jeremy W.; Foxe, John J.; Molholm, Sophie – Developmental Science, 2016
The ability to attend to one among multiple sources of information is central to everyday functioning. Just as central is the ability to switch attention among competing inputs as the task at hand changes. Such processes develop surprisingly slowly, such that even into adolescence, we remain slower and more error prone at switching among tasks…
Descriptors: Attention Control, Executive Function, Physiology, Brain
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Simon, Jessica R.; Vaidya, Chandan J.; Howard, James H., Jr.; Howard, Darlene V. – Journal of Cognitive Neuroscience, 2012
Few studies have investigated how aging influences the neural basis of implicit associative learning, and available evidence is inconclusive. One emerging behavioral pattern is that age differences increase with practice, perhaps reflecting the involvement of different brain regions with training. Many studies report hippocampal involvement early…
Descriptors: Task Analysis, Investigations, Age Differences, Brain
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Sauter, Disa A.; Panattoni, Charlotte; Happe, Francesca – British Journal of Developmental Psychology, 2013
Emotional cues contain important information about the intentions and feelings of others. Despite a wealth of research into children's understanding of facial signals of emotions, little research has investigated the developmental trajectory of interpreting affective cues in the voice. In this study, 48 children ranging between 5 and 10 years were…
Descriptors: Recognition (Psychology), Cues, Emotional Response, Task Analysis
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Geuze, Reint H.; Schaafsma, Sara M.; Lust, Jessica M.; Bouma, Anke; Schiefenhovel, Wulf; Groothuis, Ton G. G. – Neuropsychologia, 2012
Considerable variation in the frequency of left-handedness between cultures has been reported, ranging from 0.5 to 24%. This variation in hand preference may have evolved under natural or cultural selection. It has been suggested that schooling affects handedness but as in most human societies only a selected and minor part of the population does…
Descriptors: Handedness, Foreign Countries, Prediction, Investigations
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Huizing, Mariette; van der Molen, Maurits W. – Journal of Experimental Child Psychology, 2011
This study set out to investigate developmental differences in the ability to switch between choice tasks and to shift between Go/NoGo and choice tasks. Three age groups (7-year-olds, 11-year-olds, and young adults) were asked to consider the shape or color of a bivalued target stimulus. The participants performed a switch task in which a cue…
Descriptors: Stimuli, Inhibition, Young Adults, Brain
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Curlik, Daniel M., II; Shors, Tracey J. – Journal of Cognitive Neuroscience, 2011
Learning increases neurogenesis by increasing the survival of new cells generated in the adult hippocampal formation [Shors, T. J. Saving new brain cells. "Scientific American," 300, 46-52, 2009]. However, only some types of learning are effective. Recent studies demonstrate that animals that learn the conditioned response (CR) but require more…
Descriptors: Animals, Brain, Learning Strategies, Standardized Tests
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Thareja, Tarika; Ballantyne, Angela O.; Trauner, Doris A. – Brain and Cognition, 2012
This study was conducted to determine whether school-aged children who had experienced a perinatal stroke demonstrate evidence of persistent spatial neglect, and if such neglect was specific to the visual domain or was more generalized. Two studies were carried out. In the first, 38 children with either left hemisphere (LH) or right hemisphere…
Descriptors: Evidence, Personal Space, Brain Hemisphere Functions, Stimuli
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Somerville, Leah H.; Hare, Todd; Casey, B. J. – Journal of Cognitive Neuroscience, 2011
Adolescent risk-taking is a public health issue that increases the odds of poor lifetime outcomes. One factor thought to influence adolescents' propensity for risk-taking is an enhanced sensitivity to appetitive cues, relative to an immature capacity to exert sufficient cognitive control. We tested this hypothesis by characterizing interactions…
Descriptors: Cues, Self Control, Public Health, Adolescents
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Cauffman, Elizabeth; Shulman, Elizabeth P.; Steinberg, Laurence; Claus, Eric; Banich, Marie T.; Graham, Sandra; Woolard, Jennifer – Developmental Psychology, 2010
Contemporary perspectives on age differences in risk taking, informed by advances in developmental neuroscience, have emphasized the need to examine the ways in which emotional and cognitive factors interact to influence decision making. In the present study, a diverse sample of 901 individuals between the ages of 10 and 30 were administered a…
Descriptors: Feedback (Response), Late Adolescents, Adolescents, Adults
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Montero, Francisco; Lopez-Jaquero, Victor; Navarro, Elena; Sanchez, Enriqueta – Computers & Education, 2011
People with disabilities constitute a collective that requires continuous and customized attention, since their conditions or abilities are affected with respect to specific standards. People with "Acquired Brain Injury" (ABI), or those who have suffered brain injury at some stage after birth, belong to this collective. The treatment these people…
Descriptors: Neurological Impairments, Injuries, Brain, Disabilities
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Ronnlund, Michael; Nilsson, Lars-Goran. – Neuropsychologia, 2009
The study examined the extent to which time-related gains in cognitive performance, so-called Flynn effects, generalize across sub-factors of episodic memory (recall and recognition) and semantic memory (knowledge and fluency). We conducted time-sequential analyses of data drawn from the Betula prospective cohort study, involving four age-matched…
Descriptors: Semantics, Memory, Semiotics, Cognitive Processes
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Sorel, Olivier; Pennequin, Valerie – Brain and Cognition, 2008
This study tested whether the aging of executive functioning is linked to the decline in planning performance. Participants were divided into three groups: group 1 composed of 15 adults with a mean age of 22.7 years, group 2 composed of 15 adults with a mean age of 68.1 years and group 3 composed of 16 adults with a mean age of 78.75 years. Each…
Descriptors: Memory, Age Differences, Cognitive Processes, Adults
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