Understand the Role of Ascending Arousal System in Cognitive Decline and Delirium and Drive Therapeutic Advances

Summary

This project investigates how disruptions in the ascending arousal system contribute to cognitive decline and delirium, aiming to identify novel therapeutic targets and improve clinical outcomes.

Supervisor

Dr Jinglei Lv.

Research location

Biomedical Engineering

Synopsis

The ascending arousal system (AAS) plays a fundamental role in maintaining attention, wakefulness, and higher-order cognition. Dysfunction in this system has been increasingly linked to age-related cognitive decline and the onset of delirium, a common and serious postoperative and acute condition in older adults. Despite its importance, the precise mechanisms by which the AAS contributes to cognitive impairment remain poorly understood.

This project will combine advanced neuroimaging, physiological monitoring, and computational modelling to characterise structural and functional changes within the AAS. Multimodal MRI and connectomics will be integrated with clinical and cognitive assessments to uncover biomarkers that predict vulnerability to delirium and long-term decline. By mapping these pathways and identifying key neural correlates, the project aims to inform personalised interventions and drive the development of novel therapeutic strategies.

Research techniques/technologies

Multimodal MRI (structural, diffusion, functional), connectomics, neurophysiology, computational modelling, machine learning.

Offering

A scholarship for 3.5 years at the RTP stipend rate (currently $41,753 in 2025). International applicants will have their tuition fees covered.

Successful candidates must:

have a background in biomedical engineering, neuroscience, computer science, psychology, or a related field.
have experience with neuroimaging or data science methods desirable but not required.
have a strong motivation to contribute to translational brain health research.

How to apply:

To apply, please email [email protected] the following:

A detailed CV, including academic qualifications, research experience and publications
Academic transcripts

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Opportunity ID

The opportunity ID for this research opportunity is 3687