Moser, D.A., Doucet, G.E.,
Ing, A., Schumann, G., Bilder, R.M., Frangou, S. (2017). An integrated
brain-behaviour model for working memory. Molecular Psychiatry (00),
1-7.
This paper examines
function of the brain’s working memory (WM) network and how it relates to
behavioural and health factors. Working memory refers to the ability to hold
task-relevant information in mind. Previous studies have shown that WM depends
on activity coordinated across multiple regions of the brain, including the
dorsolateral prefrontal cortex, the parietal cortex, and the dorsal anterior
cingulate cortex. Function of this WM network can be characterized using
functional magnetic resonance imaging (fMRI), an imaging technique that
measures brain activity by detecting changes associated with blood flow. Three
fMRI methods were examined in this study: (1) Regional activation,
which involves looking at functional activation in specific areas of the brain
during a task. (2) Functional connectivity, which examines
correlations in activity between different brain regions to infer how these
areas are functionally connected. And (3) Effective connectivity,
which studies systematic changes in activity over time to assess causal
interactions between brain regions. Using these, the aim of the study was to
examine the relationship between function of the brain’s WM network and
behavioural and health factors.
Participants were 828 healthy adults, between 22 and 37 years old. They
underwent an fMRI scan while performing a 2-back WM task, in which they were
asked to indicate whether a visual stimulus matched the stimulus from two
trials before. They also completed a number of measures of sensorimotor
processing, cognition, mental health, personality, physical health, and
lifestyle factors.
Using a statistical technique called sparse canonical correlations to examine
relationships between the neuroimaging and behavioural-health datasets, results
indicated a significant association between WM function and all behavioural
variables. Positive correlations were observed for cognitive and physical
attributes, and negative correlations observed for suboptimal health indicators
and negative lifestyle choices. Results across the fMRI measures underscored a
relationship between working memory and non-affective cognition for both
activation of the regions within the network and connections between the
network. Correlations with physical health variables were observed for other
areas of the brain, suggesting that this relationship was not specific to the WM
network.
Overall, these findings suggest that function of the WM network is optimal in
individuals with better cognitive abilities and physical well-being, while
functional connectivity across the whole brain is reduced in individuals with
suboptimal health and substance abuse. This study highlights the usefulness of
measuring connectivity across the brain when studying cognitive processes,
rather than examining brain areas in isolation. Applied to clinical practice,
this highlights the importance of making connections. Drawing links between
information and integrating multiple modalities into therapy sessions may help
to engage more brain areas and strengthen connections between these brain
areas.
Blogger: Alex Cross is an
M.Cl.Sc. and Ph.D. Candidate in Speech-Language Pathology, supervised by Dr.
Lisa Archibald and Dr. Marc Joanisse.