Understanding the brain networks underlying cognition


The goal of this project is to understand the interplay between cognition and the underlying neural circuitry as measured using advanced Magnetic Resonance Imaging (MRI) techniques. A major focus of our group is understanding connectivity within the brain using diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI).


Dr Mayuresh Korgaonkar, Professor Stuart Grieve

Research Location

Westmead - Westmead Institute for Medical Research

Program Type



Cognition refers to functions of the brain such as thinking, reasoning, learning and remembering. Certain brain regions associated with cognitive functioning have been well established, however the brain networks underlying cognition are yet to be understood. This project intends to use advanced neuroimaging techniques, including functional magnetic resonance imaging (fMRI), structural MRI and diffusion tensor imaging (DTI), to map the neural circuitry underlying cognition. Our database contains MRI, EEG, cognition, genetics and clinical data from more than 1000 individuals. This PhD project offers the opportunity to work on this massive resource, and also to be involved in the ongoing collection of data.

Additional Information

PhD students will be actively involved in assessment of human participants. They will be trained in acquisition of behavioural and brain imaging data, and the use of sophisticated statistical procedures. When based at the Brain Dynamics Centre, PhD students have a strong team-based support network. The BDC comprises a team of 60 members, including academic scientists, clinicians, PhD students and post-doctoral researchers.

The Brain Dynamics Centre
The goal of the Brain Dynamics Centre research is to shed light on the workings of the human brain, and the cause and treatment of brain-related disorders

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Brain imaging, MRI, cognition, diffusion tensor imaging, magnetic resonance imaging, Ageing, Genetics, EEG, functional MRI, fMRI, Psychiatry, psychology

Opportunity ID

The opportunity ID for this research opportunity is: 1016

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