Dynamic local connectivity uncovers altered brain synchrony during propofol sedation
Rose Dawn Bharath1, Rajanikant Panda1, Jitender Saini1
1Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Scientific Reports
|August 19, 2017
Summary
Propofol sedation alters brain network dynamics, reducing cortical connectivity fluctuations while increasing subcortical activity. This study visualizes how sedation impacts the integrated brain networks underlying human consciousness.
Area of Science:
- Neuroscience
- Cognitive Science
- Medical Imaging
Background:
- Human consciousness is theorized to emerge from synchronized activity across multiple dynamic brain networks.
- Understanding how consciousness is altered by external agents like anesthetics is crucial for neuroscience and clinical practice.
Purpose of the Study:
- To characterize sedation-induced alterations in brain network dynamics using functional magnetic resonance imaging (fMRI).
- To investigate changes in functional connectivity during propofol-induced sedation.
Main Methods:
- Dynamic functional connectivity analysis was performed on resting-state fMRI (rsfMRI) data from 14 patients before and during propofol infusion.
- A sliding window approach (36 seconds) generated 59 time points of whole-brain connectivity measurements.
- Connectivity strength fluctuations (Z Corr) were analyzed to compare awake and sedated states.
Main Results:
- Sedation significantly reduced cortical connectivity fluctuations in default mode network (DMN) and perirolandic regions.
- A decreased correlation of connectivity between anatomical homologues was observed during sedation.
- Increased connectivity fluctuations were noted in subcortical regions (cerebellum, thalamus, basal ganglia, insula) within a specific frequency range (0.027–0.063 Hz).
Conclusions:
- Sedation dynamically alters brain network integration, affecting both cortical and subcortical regions.
- Findings support the view of consciousness as an emergent property of dynamic, integrated brain networks.
- This research provides novel insights into the neural mechanisms underlying altered states of consciousness.


