Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26629847
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 PLoS+Comput+Biol
2015 ; 11
(12
): e1004533
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
A Functional Cartography of Cognitive Systems
#MMPMID26629847
PLoS Comput Biol
2015[Dec]; 11
(12
): e1004533
PMID26629847
show ga
One of the most remarkable features of the human brain is its ability to adapt
rapidly and efficiently to external task demands. Novel and non-routine tasks,
for example, are implemented faster than structural connections can be formed.
The neural underpinnings of these dynamics are far from understood. Here we
develop and apply novel methods in network science to quantify how patterns of
functional connectivity between brain regions reconfigure as human subjects
perform 64 different tasks. By applying dynamic community detection algorithms,
we identify groups of brain regions that form putative functional communities,
and we uncover changes in these groups across the 64-task battery. We summarize
these reconfiguration patterns by quantifying the probability that two brain
regions engage in the same network community (or putative functional module)
across tasks. These tools enable us to demonstrate that classically defined
cognitive systems-including visual, sensorimotor, auditory, default mode,
fronto-parietal, cingulo-opercular and salience systems-engage dynamically in
cohesive network communities across tasks. We define the network role that a
cognitive system plays in these dynamics along the following two dimensions: (i)
stability vs. flexibility and (ii) connected vs. isolated. The role of each
system is therefore summarized by how stably that system is recruited over the 64
tasks, and how consistently that system interacts with other systems. Using this
cartography, classically defined cognitive systems can be categorized as
ephemeral integrators, stable loners, and anything in between. Our results
provide a new conceptual framework for understanding the dynamic integration and
recruitment of cognitive systems in enabling behavioral adaptability across both
task and rest conditions. This work has important implications for understanding
cognitive network reconfiguration during different task sets and its relationship
to cognitive effort, individual variation in cognitive performance, and fatigue.
free
free
free
