Member-Initiated Symposium
A Window Through the Ages:
Advanced Mapping of Brain Development from Neonate to Adolescence
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Session Sub-Topic: A Window Through the Ages: Advanced Mapping of Brain Development from Neonate to Adolescence
Member-Initiated Symposium
ORGANIZERS: Sila Genc, Catherine Lebel, Marc Seal
| Friday, 14 August 2020, 12:30 - 13:00 UTC | Moderators: Sila Genc & Catherine Lebel |
Watch the Session RecordingSession Number: MIS-11
Overview
Early brain development lays the foundation for future brain health and thus a detailed understanding of this dynamic maturation is of great importance. However, studying the developing brain can present unique challenges. Recent advances in MR acquisition and analysis techniques present an incredible opportunity to characterise the developing brain in vivo, in unprecedented detail from neonate to adolescence. This symposium will bring together experts applying advanced methodologies in paediatric populations, such as multivariate approaches to link brain features to developmental phenotypes, interactions between genes and environment, and classification of abnormal brain development.
There has been a growing interest in paediatric brain imaging at ISMRM over the last few years, with the establishment of the Paediatric MR study group and dedicated paediatric scientific sessions. This year, the ISMRM has recognised a separate review category for paediatric applications and methods, signifying that this area of research is unique and requires specialised input from experts in the field. There is also increasing world-wide investments of large developmental cohort studies (dHCP and ABCD studies).
Our proposed symposium complements the ISMRM 2020 meeting content by incorporating content offered in other sessions (e.g. educational sessions on multi-parameter quantification, machine learning, psychoradiology & AI). The session will involve 5 speakers (15 min + 5 min discussion).
Target Audience
White matter methods and applications researchers, paediatric neuroimaging researchers, clinicians working with children and adolescents.
Educational Objectives
As a result of attending this course, participants should be able to:
Upon completion of this course, participants should be able to:
- Explain technical requirements and challenges of analysing paediatric MR data;
- Identify advanced analysis methods and their advantages for studying brain development;
- Describe key research findings and how these advance our knowledge of human brain; and
- List unique machine learning applications for clinical use.
| Linking Neonatal Cortical Morphology With Gene Expression in the Fetal Brain
Gareth Ball
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| Characterising Axonal & Myelin Microstructure to Predict Behavioural Phenotypes in Childhood
Jess Reynolds
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| Unravelling the Influence of Age & Puberty in the Development of Amygdala Subnuclei
Megan Herting
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| Combining Big Data & Machine Learning to Predict Clinical Depression in Childhood
Akhil Kottaram Video Unavailable
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| Disentangling Molecular Alterations From Water-Content Changes in the Developing Human Brain Using Quantitative MRI
Aviv Mezer
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