Brain Imaging Interest Group (BIIG)

Inclusive membership - BIIG invites students, researchers, and clinicians from diverse backgrounds, including neuroscience, radiology, psychology, computer science, medicine, and others.

Open to all modalities - BIIG embraces all brain imaging techniques, including but not limited to all magnetic resonance imaging modalities (MRI, fMRI, DWI), positron emission tomography (PET), computed tomography (CT), x-ray, ultrasound, electroencephalography (EEG), near-Infrared Spectroscopy (NIRS), and others.

Focus on brain disorders - BIIG aims to investigate brain disorders. comprehensively, including neurodegenerative diseases, acquired brain injury, severe mental disorders, autoimmune diseases, brain tumours, cancer, and others.

BIIG focuses on two key areas.

1.      Building Research Capacity:

• Workshops and training: Organisation of workshops, seminars, and training sessions to enhance brain imaging skills. These sessions cover topics such as image acquisition, data analysis, and interpretation. Contact Dr Arkiev D’Souza.
•  Collaborative research: BIIG facilitates collaborative research projects among SCIN members, and the broader community at USYD and local health districts, pooling the considerable expertise of our brain imaging community to tackle complex clinical challenges.
• Grant writing and consulting: Guidance on projects and grant applications related to brain imaging research. We aim to secure funding for innovative projects.

2.      Education and Knowledge Sharing:

• Lectures and Webinars: Host lectures and webinars featuring experts in brain imaging. These sessions will cover recent advancements, case studies, and emerging trends.
• Journal Club: Establish a brain imaging journal club where members can discuss recent publications, critique methodologies, and explore novel findings. Contact Dr Hannes Almgren or Dr Tonima Ali.
• Resource Repository: Curate a repository of educational materials including access to code repositories on GitHub, analysis pipelines and curated wikis for analysis software. Contact Sophie Matis.