Summary: Researchers reveal the neurobiological basis of why we often find it more difficult to find the right words as we age.
Source: Max Planck Institute
As we get older, we find it increasingly difficult to have the right words ready at the right moment ¬- even though our vocabulary actually grows continuously over the course of our lives. Until now, it was unclear why this is.
Researchers at the Max Planck Institute for Human Cognitive and Brain Sciences and the University of Leipzig have now found out: It is the networks in the brain that change their communication over time. This makes them more inefficient.
The researchers investigated these connections with the help of two groups – younger study participants between the ages of 20 and 35 and older ones between the ages of 60 and 70. Both groups were asked to name words in the MRI scanner that belong to certain categories, including animals, metals or vehicles.
It became clear that both age groups were good at finding words. However, the younger ones were somewhat faster. The reason for this could be the different brain activities. For one thing, not only were the language areas themselves more active in the younger ones.
They also showed a more intensive exchange within two decisive networks: the network for semantic memory, in which factual knowledge is stored, and the executive network, which is responsible for general functions such as attention and memory.
The reverse was true for older people. Here, executive areas showed stronger activity, indicating that the task was more difficult for these individuals overall. In addition, the exchange within the crucial networks was less effective than in the younger people. The older group was most likely to benefit from inter-network exchange, but this is associated with losses.
“Communication within neuronal networks is more efficient and thus faster than between them,” explains Sandra Martin, PhD student at MPI CBS and first author of the underlying study.
Why these activity patterns shift with age has not yet been fully explained. One theory, says Martin, is that as people age, they rely more on the linguistic knowledge they have, so exchanges between networks come into focus, while younger people rely more on their fast working memory and cognitive control processes.
“On the structural level, the loss of grey matter in the brain could also play a role, which is compensated for by the exchange between networks,” says Martin.
About this linguistics and aging research news
Author: Sandra Martin
Source: Max Planck Institute
Contact: Sandra Martin – Max Planck Institute
Image: The image is in the public domain
Original Research: Open access.
“Age-Dependent Contribution of Domain-General Networks to Semantic Cognition” by Sandra Martin et al. Cerebral Cortex
Abstract
Age-Dependent Contribution of Domain-General Networks to Semantic Cognition
Aging is characterized by a decline of cognitive control. In semantic cognition, this leads to the paradox that older adults usually show poorer task performance than young adults despite their greater semantic knowledge. So far, the underlying neural changes of these behavioral differences are poorly understood.
In the current neuroimaging study, we investigated the interaction of domain-specific and domain-general networks during verbal semantic fluency in young and older adults.
Across age groups, task processing was characterized by a strong positive integration within the multiple-demand as well as between the multiple-demand and the default mode network during semantic fluency.
However, the behavioral relevance of strengthened connectivity differed between groups: While within-network functional connectivity in both networks predicted greater efficiency in semantic fluency in young adults, it was associated with slower performance in older adults. Moreover, only young adults profited from connectivity between networks for their semantic memory performance.
Our results suggest that the functional coupling of usually anticorrelated networks is critical for successful task processing, independent of age, when access to semantic memory is required. Furthermore, our findings lend novel support to the notion of reduced efficiency in the aging brain due to neural dedifferentiation in semantic cognition.
