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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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A framework to quantify controlled directed interactions in network physiology applied to cognitive function

Faezeh Marzbanrad¹, Negin Yaghmaie², Herbert F Jelinek^3,4

¹Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Australia. faezeh.marzbanrad@monash.edu.

Scientific Reports

|October 29, 2020

Summary

This summary is machine-generated.

This study introduces a new method to measure direct interactions in complex physiological networks, outperforming existing techniques. The framework reveals how heart, respiration, and brain activity change during cognitive tasks, potentially aiding in detecting neurological dysfunction.

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Area of Science:

Physiology
Network Science
Cognitive Neuroscience

Background:

Physiological systems involve complex interactions between multiple organs.
Distinguishing direct from indirect interactions in these networks is challenging.
Existing methods often struggle to accurately quantify directional couplings.

Purpose of the Study:

To propose a novel framework for quantifying directional and pairwise couplings in physiological networks.
To control for the influence of indirect interactions when assessing network connectivity.
To apply the framework to understand brain-cardiac-respiratory interactions during cognitive tasks.

Main Methods:

Development of a new framework to quantify directional and pairwise couplings.
Utilizing simulation results to validate the framework's superiority over existing methods.
Applying the framework to analyze interactions between cardiac, respiratory, and prefrontal cortex activity during attention and alertness tasks.

Main Results:

The proposed framework effectively uncovers directional primary links, outperforming previous methods in simulations.
During an alertness task, increased interactions were observed between left brain activity, heart rate, and respiration compared to rest.
During an attention task, increased right brain activity interactions with respiration and left brain activity with heart rate were noted.

Conclusions:

The novel framework accurately assesses directional interactions within complex physiological networks.
The method has the potential to detect cognitive dysfunctions linked to altered network physiology.
This approach offers new insights into the real-time interplay of physiological systems during cognitive processes.