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When bilinguals switch languages they regulate the more dominant language to enable spoken production in the less dominant language. How do they engage cognitive control to accomplish regulation? We examined this issue by comparing the consequences of training on language switching in two different contexts. Chinese-English bilinguals were immersed in English (L2) while studying abroad (this study) or in Chinese (L1) in their native language environment (Zhang et al., 2015). In each study, participants performed the AX-CPT task while EEG was recorded and were then trained on language switching. While Zhang et al. found that training enhanced proactive control in the L1 context, there were no effects of training under L2 immersion conditions. Critically, L2 immersed bilinguals revealed enhanced proactive control at pre-test and greater L1 inhibition on language switching relative to L1 immersed bilinguals. We hypothesize that L2 immersion creates a natural training context that increases reliance on proactive control to enable regulation of the L1. [ABSTRACT FROM AUTHOR]

Neuroimaging studies often either look at functional activation in response to an explicit task, or functional connectivity (i.e., interregional correlations) during resting-state. Few studies have looked at the intensity of brain activity or its relationship with age, behavior, and language. The current study investigated both intensity (i.e., the Amplitude of Low-Frequency Fluctuations, ALFF) and the functional connectivity of spontaneous brain activity during rest and their relationship with age and language. A life-span sample of individuals (N = 152) completed a battery of neuropsychological tests to assess basic cognitive functions and resting-state functional MRI data to assess spontaneous brain activity. Focusing on an extend language network, the mean ALFF and total degree were calculated for this network. We found that increased age was associated with more intense activity (i.e., higher ALFF) but lower within-network connectivity. Additionally, these increases in activity within the language network during resting-state were related to worse language ability, particularly in younger adults, supporting a dedifferentiation account of cognition. Our results support the utility of using resting-state data as an indicator of cognition and support the role of ALFF as a potential biomarker in characterizing the relationships between resting-state brain activity, age, and cognition. • Increased age was associated with higher ALFF but lower connectivity. • Increased ALFF in the language network related to worse language ability. • These results support a dedifferentiation account of cognition. • Resting-state ALFF can link brain activity, age, and cognition. [ABSTRACT FROM AUTHOR]

Healthy older adults commonly report increased difficulties with language production. This could reflect decline in the language network, or age-related declines in other cognitive abilities that support language production, such as executive function. To examine this possibility, we conducted a whole-brain resting-state functional connectivity (RSFC) analysis in older and younger adults using two seed regions-the left posterior superior temporal gyrus and left inferior frontal gyrus. Whole-brain connectivities were then correlated with Stroop task performance to investigate the relationship between RSFC and executive function. We found that overall, younger adults had stronger RSFC than older adults. Moreover, in older, but not younger, adults stronger RSFC between left IFG and right hemisphere executive function regions correlated with better Stroop performance. This suggests that stronger RSFC among older adults between left IFG and right hemisphere regions may serve a compensatory function. [ABSTRACT FROM AUTHOR]

The use of multiple languages has been found to influence individuals' cognitive abilities. Although some studies have also investigated the effect of multilingualism on non-native language proficiency, fewer studies have focused on how multilingual experience affects native language production. This study investigated the effect of multilingualism on native language production, specifically examining control demands through a semantic Go/No-Go picture naming task. The multilingual experience was quantified using language entropy, which measures the uncertainty and diversity of language use. Control demands were achieved by manipulating the proportion of Go (i.e., naming) trials in different conditions. Results showed that as control demands increased, multilingual individuals exhibited poorer behavioral performance and greater brain activation throughout the brain. Moreover, more diverse language use was associated with higher accuracy in naming and more interconnected brain networks with greater involvement of domain-general neural resources and less domain-specific neural resources. Notably, the varied and balanced use of multiple languages enabled multilingual individuals to respond more efficiently to increased task demands during native language production. [ABSTRACT FROM AUTHOR]