Neurosciences Network

The Sydney Neuroscience Network brings together a pan-University, multidisciplinary team of researchers dedicated to pursuing and developing collaborative research projects. The overarching goal of the Network will be to provide a framework to foster and coordinate synergies to create more and better connections of a multidisciplinary nature in neuroscience and mental health research and teaching across the University, including all relevant faculties and affiliated teaching hospitals and institutes.

News and events

SAVE THE DATE: Inter-univ Neuroscience & Mental Health Conference, 24-25 Sept 2015

The 2nd annual Inter-university Neuroscience & Mental Health Conference (The University of Sydney, The University of New South Wales, Macquarie University and the University of Western Sydney). Venue: The University of New South Wales (The John Niland Scientia Building). The conference will again be an open meeting with a call for papers (15 minute oral), plenary sessions and streams, plus poster sessions over two days. We look forward to seeing you there. Further information to come. Please direct queries to Karen Kool.

ECR Network

We have created a special network on LinkedIn for ECRs to post regular announcements concerning important social or scientific events as well as interesting talks, funding opportunities and other career-related information. Researchers outside of the University of Sydney are welcome to join and should feel free to contribute to the community. Search for “The Sydney Neuroscience Network” and request to join.

MRI Test to Predict Anti-Depressant Medication Success

Australian medical researchers have developed a new way of using Magnetic Resonance Imaging (MRI) technology to improve the notoriously hit-and-miss prescription of anti-depressant drugs. A team at the Westmead Millennium Institute for Medical Research (WMI) in Sydney has developed a test that uses a type of MRI scanning to predict whether one of three commonly prescribed anti-depressant medications (ADM) is likely to be effective in treating a particular patient. See story.