Large-scale network mechanisms underlying postoperative cognitive improvement after spine surgery

Area of Science:

• Neuroscience
• Cognitive Science
• Surgical Outcomes

Background:

• Post-surgical neurocognitive outcomes are critical but mechanisms remain unclear.
• Previous research indicated improved cognition after spine surgery.
• This study investigates the neural network basis of these cognitive changes.

Purpose of the Study:

• To explore the relationship between large-scale neural network functional connectivity (FC) and cognitive changes after major surgery.
• To identify specific network interactions that predict cognitive improvement post-operatively.
• To investigate potential biomarkers for cognitive enhancement.

Main Methods:

• Analysis of resting-state functional magnetic resonance imaging (fMRI) data from 79 elderly patients undergoing major surgery.
• Calculation of FC within and between the central executive network (CEN), salience network (SAL), and default mode network (DMN).
• Correlation of FC measures with cognitive performance and executive function scores at baseline and 3-month follow-up.

Main Results:

• Functional connectivity (FC) between the CEN and SAL networks significantly predicted cognitive improvement.
• An increase in average FC within the CEN was observed post-surgery, particularly between left dorsolateral prefrontal and right posterior parietal cortex.
• This increase in CEN FC correlated with individual enhancements in executive function scores.

Conclusions:

• Greater integration between the CEN and SAL networks is associated with improved postoperative cognition.
• Increased functional coupling within the CEN may serve as a biomarker for enhanced executive functions.
• Findings support that surgery need not be deferred due to cognitive concerns and suggest targets for non-invasive brain stimulation.