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Related Experiment Video

Updated: May 18, 2026

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

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

Published on: May 7, 2014

Pro-cognitive drug effects modulate functional brain network organization.

Carsten Giessing¹, Christiane M Thiel

¹Biological Psychology Lab, Institute of Psychology, University of Oldenburg Oldenburg, Germany.

Frontiers in Behavioral Neuroscience

|September 14, 2012

Summary

This summary is machine-generated.

Cholinergic and noradrenergic drugs enhance cognitive functions by altering brain network integration. Graph theory reveals how these pro-cognitive effects impact brain connectivity and information processing.

Keywords:

cholinergic complex network fMRI graph imaging nicotine noradrenergic topology

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Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

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Last Updated: May 18, 2026

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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Published on: May 7, 2014

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Neuroscience
Pharmacology
Network Science

Background:

Cholinergic and noradrenergic drugs are known to improve cognitive functions like attention and memory.
Previous research primarily used functional magnetic resonance imaging (fMRI) to study drug effects on task-related neural activity, often neglecting endogenous activity.
Few studies have explored how these drugs modulate the brain's functional connectome, focusing mainly on activation synchronization or correlation.

Purpose of the Study:

To demonstrate graph theory as a tool for developing biomarkers of pro-cognitive drug effects.
To explore the role of cholinergic and noradrenergic modulation in the human brain using network analysis.
To discuss the global workspace theory as a framework for understanding pro-cognitive drug effects.

Main Methods:

Utilizing graph theory to model the brain as a complex network of interconnected nodes.
Analyzing drug-induced changes in functional network topology and organization.
Quantifying how network changes facilitate or hinder information processing.

Main Results:

Graph theory measures can detect focal and distributed drug effects on functional network topology.
Functional brain integration is strongly correlated with behavioral performance.
Pro-cognitive drug effects may be linked to increased functional network integration.

Conclusions:

Graph theory offers a mathematical framework for creating theory-driven biomarkers for pro-cognitive drug effects.
Cholinergic and noradrenergic modulation likely influences cognitive performance through changes in brain network integration.
The global workspace theory provides a potential framework for understanding how these drugs enhance cognitive functions via network modulation.