Measuring brain development throughout the lifetime without motion corruption

David Carmichael (primary)
Developmental Imaging and Biophysics, Institute of Child Health
University College London
Fred Dick (secondary)
BUCNI & Department of Psychological Sciences,
Birkbeck

Abstract

Structural and functional magnetic resonance imaging (MRI) is the key technology to non-invasively characterize the development of the human brain because it is noninvasive it can be used throughout the lifespan to measure structural and functional brain networks. However, MRI images take time to collect typically scanning sessions last from 30-60 minutes with a structural image taking 5-10 minutes to obtain. This makes motion a large problem and as the amount of motion is age-related a major confound for developmental and longitudinal studies. This project aims to develop practical motion correction strategies available for these studies.


References

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  2. Tierney TM, Weiss-Croft LJ, Centeno M, Shamshiri EA, Perani S, Baldeweg T, Clark CA, Carmichael DW. FIACH: A biophysical model for automatic retrospective noise control in fMRI. Neuroimage. 2016 Jan 1;124(Pt A):1009-20.
  3. Maziero D, Velasco TR, Hunt N, Payne E, Lemieux L, Salmon CE, Carmichael DW. Towards motion insensitive EEG-fMRI: Correcting motion-induced voltages and gradient artefact instability in EEG using an fMRI prospective motion correction (PMC) system. Neuroimage. 2016 Sep;138:13-27.
  4. Krishnan, S., Leech, R., Mercure, E., Lloyd Fox, S. & Dick, F. Convergent and divergent fMRI responses in children and adults to increasing language production demands. Cerebral Cortex. 2014
  5. Dick et al., 2012, In Vivo Functional and Myeloarchitectonic Mapping of Human Primary Auditory Areas. Journal of Neuroscience 32:16095–16105.

BBSRC Area
Genes, development and STEM* approaches to biology
Area of Biology
DevelopmentNeurobiology
Techniques & Approaches
BiochemistryImage ProcessingSimulation / Modelling