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Ying Li; Talia Q. Halleck; Laura Evans; Paras Bhagwat Bassuk; Leiana Paz; Ö. Ece Demir-Lira – Developmental Science, 2024
In this study, we aimed to determine the role of parental praise and child affect in the neural processes underlying parent-child interactions, utilizing functional near-infrared spectroscopy (fNIRS) hyperscanning. We characterized the dynamic changes in interpersonal neural synchrony (INS) between parents and children (4-6 years old, n = 40…
Descriptors: Parent Child Relationship, Psychological Patterns, Affective Behavior, Child Behavior
Divya Sadana; Rajnish Kumar Gupta; S. S. Kumaran; Sanjeev Jain; Jamuna Rajeswaran – Gifted and Talented International, 2024
The current study explored the neuroanatomical basis of creative personality using the voxel-based morphometric (VBM) approach. The sample comprised two groups -- Creative (CR) group (professional creative artists) and matched controls with no demonstrated artistic creativity (NC) with 20 participants in each group, in the age range of 20-40…
Descriptors: Brain Hemisphere Functions, Brain, Correlation, Creativity
Tasmia Hai; Rose Swansburg; Cynthia K. Kahl; Hannah Frank; Kayla Stone; Jean-François Lemay; Frank P. MacMaster – Journal of Attention Disorders, 2022
Objective: We investigated the right Superior Frontal Gyrus (right-SFG) and Anterior Cingulate Cortex (ACC) in children with ADHD and their clinical relevance with Executive Function (EF) and ADHD symptom severity. Methods: About 26 children with ADHD and 24 typically developing children (TDC; 7--16 years) underwent Magnetic Resonance Imaging…
Descriptors: Children, Attention Deficit Hyperactivity Disorder, Brain, Symptoms (Individual Disorders)
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
Wang, Enguo; Du, Chenguang; Ma, Yujun – Journal of Learning Disabilities, 2017
This study reports the neurophysiological and behavioral correlates of digital memory retrieval features in Chinese individuals with and without dyscalculia. A total of 18 children with dyscalculia (ages 11.5-13.5) and 18 controls were tested, and their event-related potentials were digitally recorded simultaneously with behavior measurement.…
Descriptors: Foreign Countries, Learning Disabilities, Mathematics Skills, Children
Xia, Zhichao; Zhang, Linjun; Hoeft, Fumiko; Gu, Bin; Gong, Gaolang; Shu, Hua – International Journal of Behavioral Development, 2018
The ability to read is essential for cognitive development. To deepen our understanding of reading acquisition, we explored the neuroanatomical correlates (cortical thickness; CT) of word-reading fluency and sentence comprehension efficiency in Chinese with a group of typically developing children (N = 21; 12 females and 9 males; age range…
Descriptors: Oral Reading, Reading Skills, Neurological Organization, Anatomy
Bruner, Emiliano; Martin-Loeches, Manuel; Burgaleta, Miguel; Colom, Roberto – Intelligence, 2011
Brain shape might influence cognitive performance because of the relationships between functions, spatial organization, and differential volumetric development of cortical areas. Here we analyze the relationships between midsagittal brain shape variation and a set of basic psychological measures. Coordinates in 2D from 102 MRI-scanned young adult…
Descriptors: Cognitive Ability, Intelligence, Cognitive Tests, Young Adults
Wartenburger, Isabell; Kuhn, Esther; Sassenberg, Uta; Foth, Manja; Franz, Elizabeth A.; van der Meer, Elke – Intelligence, 2010
Individuals scoring high in fluid intelligence tasks generally perform very efficiently in problem solving tasks and analogical reasoning tasks presumably because they are able to select the task-relevant information very quickly and focus on a limited set of task-relevant cognitive operations. Moreover, individuals with high fluid intelligence…
Descriptors: Intelligence, Brain Hemisphere Functions, Imagery, Scores
Karama, S.; Ad-Dab'bagh, Y.; Haier, R. J.; Deary, I. J.; Lyttelton, O. C.; Lepage, C.; Evans, A. C. – Intelligence, 2009
Neuroimaging studies, using various modalities, have evidenced a link between the general intelligence factor (g) and regional brain function and structure in several multimodal association areas. While in the last few years, developments in computational neuroanatomy have made possible the "in vivo" quantification of cortical thickness, the…
Descriptors: Intelligence, Brain, Psychometrics, Diagnostic Tests
Stankov, Lazar; Danthiir, Vanessa; Williams, Leanne M.; Pallier, Gerry; Roberts, Richard D.; Gordon, Evian – Learning & Individual Differences, 2006
The phase-synchronization of Gamma-band oscillations has been postulated as a mechanism of "network binding" and implicated in various aspects of perception, memory, and cognition. The current study investigates a possible link between Gamma synchrony and individual differences in intelligence within the theory of fluid and crystallized…
Descriptors: Intelligence, Brain, Individual Differences, Theories