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Relaxometry differences between magno- and parvocellular human LGN subdivisions revealed by in- and ex-vivo quantitative MRI

MPG-Autoren
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Müller-Axt,  Christa
Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Eichner,  Cornelius
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Bazin,  Pierre-Louis
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Morawski,  Markus
Department Neurophysics (Weiskopf), 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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von Kriegstein,  Katharina
Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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http://indexsmart.mirasmart.com/ISMRM2020/PDFfiles/3153.html
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Zitation

Müller-Axt, C., Eichner, C., Kauffmann, L., Bazin, P.-L., Rusch, H., Morawski, M., et al. (2020). Relaxometry differences between magno- and parvocellular human LGN subdivisions revealed by in- and ex-vivo quantitative MRI. In Proceedings of the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).


Zitierlink: https://hdl.handle.net/21.11116/0000-0006-D4B3-0
Zusammenfassung
The human lateral geniculate nucleus (LGN) is the central station for visual processing before information reaches the cerebral cortex. It is characterized by subdivisions with distinct cyto- and myeloarchitecture. Due to its small size, imaging of the LGN and especially its subdivisions is challenging. Here, we show that the LGN and its subdivisions can be identified using in-vivo and ex-vivo high-field quantitative MRI with ultra-high resolution. We present the to-date first atlas of the LGN and its estimated subdivisions. This work will serve as a highly valuable tool both for neuroscientists and clinicians investigating the visual system and its disorders.