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Elife. 2018 Jun 22;7. pii: e34700. doi: 10.7554/eLife.34700.

Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivo.

Author information

Interdisciplinary Institute for Neuroscience, CNRS UMR 5297, Bordeaux, France.
Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, France.
Neuroimmunology and Imaging Group, German Center for Neurodegenerative Diseases, Bonn, Germany.
Light Microscope Facility, German Center for Neurodegenerative Diseases, Bonn, Germany.
Contributed equally


Rewiring neural circuits by the formation and elimination of synapses is thought to be a key cellular mechanism of learning and memory in the mammalian brain. Dendritic spines are the postsynaptic structural component of excitatory synapses, and their experience-dependent plasticity has been extensively studied in mouse superficial cortex using two-photon microscopy in vivo. By contrast, very little is known about spine plasticity in the hippocampus, which is the archetypical memory center of the brain, mostly because it is difficult to visualize dendritic spines in this deeply embedded structure with sufficient spatial resolution. We developed chronic 2P-STED microscopy in mouse hippocampus, using a 'hippocampal window' based on resection of cortical tissue and a long working distance objective for optical access. We observed a two-fold higher spine density than previous studies and measured a spine turnover of ~40% within 4 days, which depended on spine size. We thus provide direct evidence for a high level of structural rewiring of synaptic circuits and new insights into the structure-dynamics relationship of hippocampal spines. Having established chronic super-resolution microscopy in the hippocampus in vivo, our study enables longitudinal and correlative analyses of nanoscale neuroanatomical structures with genetic, molecular and behavioral experiments.


hippocampus; in vivo imaging; learning and memory; mouse; neuroscience; spine plasticity; super-resolution microscopy; synapses

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