Developmental Language Disorder (DLD) is a common neurodevelopmental condition characterized by significant difficulty with language learning, comprehension, and expression. The neurocognitive bases of DLD are underspecified but are thought to be related, in part, to altered basal ganglia (BG). The BG are known to have a high level of brain iron, which contributes to myelination and dopaminergic pathways among other physiological mechanisms.
View Article and Find Full Text PDFVisual processing relies on the identification of both local and global features of visual stimuli. While well investigated at the behavioral level, the underlying brain mechanisms are less clear, especially in the context of aging. Using fMRI, we aimed to investigate the neural correlates underlying local and global processing in early and late adulthood.
View Article and Find Full Text PDFCreativity, or divergent thinking, is essential to and supported by cognitive functions necessary for everyday tasks. The current study investigates divergent thinking and its neural mechanisms from adolescence to late adulthood. To do this, 180 healthy participants completed a creativity task called the egg task including 86 adolescents (mean age (SD) = 13.
View Article and Find Full Text PDFIntroduction: Healthy aging is typically associated with cognitive decline and lower negative affect. Previous studies have reported a significant and opposite role of the amygdala in relation to cognitive and affective processing in early adulthood. However, it remains unclear how aging impacts such relationships.
View Article and Find Full Text PDFHuman visual processing involves the extraction of both global and local information from a visual stimulus. Such processing may be related to cognitive abilities, which is likely going to change over time as we age. We aimed to investigate the impact of healthy aging on the association between visual global vs local processing and intelligence.
View Article and Find Full Text PDFThe nature of brain-behavior covariations with increasing age is poorly understood. In the current study, we used a multivariate approach to investigate the covariation between behavioral-health variables and brain features across adulthood. We recruited healthy adults aged 20-73 years-old (29 younger, mean age = 25.
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