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Volume electron microscopy for genetically and molecularly defined neural circuits.
Ohno, Nobuhiko; Karube, Fuyuki; Fujiyama, Fumino.
Afiliación
  • Ohno N; Department of Anatomy, Division of Histology and Cell Biology, Jichi Medical University, Japan; Division of Ultrastructural Research, National Institute for Physiological Sciences, Japan. Electronic address: oonon-tky@umin.ac.jp.
  • Karube F; Laboratory of Histology and Cytology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Japan.
  • Fujiyama F; Laboratory of Histology and Cytology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Japan.
Neurosci Res ; 2024 Jun 22.
Article en En | MEDLINE | ID: mdl-38914208
ABSTRACT
The brain networks responsible for adaptive behavioral changes are based on the physical connections between neurons. Light and electron microscopy have long been used to study neural projections and the physical connections between neurons. Volume electron microscopy has recently expanded its scale of analysis due to methodological advances, resulting in complete wiring maps of neurites in a large volume of brain tissues and even entire nervous systems in a growing number of species. However, structural approaches frequently suffer from inherent limitations in which elements in images are identified solely by morphological criteria. Recently, an increasing number of tools and technologies have been developed to characterize cells and cellular components in the context of molecules and gene expression. These advancements include newly developed probes for visualization in electron microscopic images as well as correlative integration methods for the same elements across multiple microscopic modalities. Such approaches advance our understanding of interactions between specific neurons and circuits and may help to elucidate novel aspects of the basal ganglia network involving dopamine neurons. These advancements are expected to reveal mechanisms for processing adaptive changes in specific neural circuits that modulate brain functions.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Neurosci Res Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Neurosci Res Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article