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Poster

Iron-related gene expression associated with magnetic susceptibility reductions: Application to the pathophysiology of a movement disorder population

MPG-Autoren
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Kanaan,  Ahmad S.
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Anwander,  Alfred
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Metere,  Riccardo
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Schlumm,  Torsten
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Möller,  Harald E.
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Externe Ressourcen

https://www.ismrm.org/18/program_files/PP04.htm
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Zitation

Kanaan, A. S., Anwander, A., Metere, R., Schäfer, A., Schlumm, T., Near, J., et al. (2018). Iron-related gene expression associated with magnetic susceptibility reductions: Application to the pathophysiology of a movement disorder population. Poster presented at 26th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Paris.


Zitierlink: https://hdl.handle.net/21.11116/0000-0001-EA4B-4
Zusammenfassung
We employ a genetic-imaging approach to examine the underlying genetic basis of magnetic susceptibility reductions at a major locus of pathophysiology in Gilles de la Tourette syndrome (GTS). Voxel-wise statistical differences of motor-striatal susceptibility exhibited significant associations with the expression profile of iron-related gene-sets extracted from the Allen Human Brain Atlas, thus suggesting that the expression of iron-related genes coincides with patterns of susceptibility reductions in GTS. This work supports previous studies relating magnetic susceptibility to brain iron and provides an example of an analytic strategy in which valuable insights can be gleaned by exploring associations between gene-expression and image-derived phenotypes.