Summary: A new study reports our level of brain activity while at rest is linked to our ability to perform well in cognitive tests.
The ability of an adult to learn and to perform cognitive tests is directly linked to how active the brain is at rest, UNSW researchers have found.
The study, published in the peer-reviewed journal Brain Imaging and Behaviour, found that how well an elderly adult performed on language recall, memory executive function tests was directly related to the activity of the brain while in a resting state, or not doing any specific tasks.
Researchers from the Centre for Healthy Brain Ageing (CHeBA) at UNSW Sydney used magnetic resonance imaging (MRI) images of the brain in 67 cognitively healthy adults aged between 73 to 90 years. The MRI images captured activity of the whole brain at rest when the participants were not thinking of anything in particular and had their eyes closed. They were also tested on their ability to perform three common neuropsychological tests, administered by trained psychology graduates.
“We found that the human brain is already somewhat pre-determined to do well or perform poorly in testing,” said lead researcher Professor Perminder Sachdev, Co-Director of CHeBA. “Brains differ from each other in terms of resting state activity and it’s not an even playing field. If there is activity in certain brain networks when the brain isn’t doing anything, then that person is predisposed to do better than others on the tasks that rely on that network.”
In the past, similar research had focused on specific brain regions, however this study examined 3D “voxel” images of the whole brain, thereby not constraining the results based on previous knowledge.
The results found that how well an individual did on language and executive function tests was linked with functional connectivity during rest in the frontal and temporal cortices. For memory retrieval, strong resting state activity was located in the inferior temporal cortices.
“The next stage in research would be to examine if this resting state activity of the brain can be modified by training. There is a possibility that training could boost the brain’s intrinsic network, improving overall mental performance and possibly prevent cognitive decline or even dementia,” Professor Sachdev said.
Source: Lucy Carroll – UNSW
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is adapted from the UNSW news release.
Original Research: Abstract in Brain Imaging and Behavior.
The relationship between voxel-based metrics of resting state functional connectivity and cognitive performance in cognitively healthy elderly adults
In previous studies, resting-state functional connectivity (FC) metrics of specific brain regions or networks based on prior hypotheses have been correlated with cognitive performance. Without constraining our analyses to specific regions or networks, we employed whole-brain voxel-based weighted degree (WD), a measure of local FC strength, to be correlated with three commonly used neuropsychological assessments of language, executive function and memory retrieval in both positive and negative directions in 67 cognitively healthy elderly adults. We also divided voxel-based WD into short-ranged and long-ranged WDs to evaluate the influence of FC distance on the WD-cognition relationship, and performed three validation tests. Our results showed that for language and executive function tests, positive WD correlates were located in the frontal and temporal cortices, and negative WD correlates in the precuneus and occipital cortices; for memory retrieval, positive WD correlates were located in the inferior temporal cortices, and negative WD correlates in the anterior cingulate cortices and supplementary motor areas. An FC-distance-dependent effect was also observed, with the short-ranged WD correlates of language and executive function tests located in the medial brain regions and the long-ranged WD correlates in the lateral regions. Our findings suggest that inter-individual differences in FC at rest are predictive of cognitive ability in the elderly adults. Moreover, the distinct patterns of positive and negative WD correlates of cognitive performance recapitulate the dichotomy between task-activated and task-deactivated neural systems, implying that a competition between distinct neural systems on functional network topology may have cognitive relevance.