Translating striatal activity from brain slice to whole animal neurophysiology: A guide for neuroscience research integrating diverse levels of analysis
Abstract:An important goal of this review is highlighting research in neuroscience as examples of multilevel functional and anatomical analyses addressing basic science issues and applying results to the understanding of diverse disorders. The research of Dr. Michael Levine, a leader in neuroscience, exemplifies this approach by uncovering fundamental properties of basal ganglia function and translating these findings to clinical applications. The review focuses on neurophysiological research connecting results from in… Show more
“…Given the complexity of neural circuits, mapping the anatomical and functional features of the brain remains a challenging task for neurobiologists. − From a clinical point of view, neuronal loss and dysfunction are both associated with a variety of neurological disorders. , Understanding the pathophysiology underlying such disorders at the cellular and circuit levels is key to developing novel and more effective therapeutic alternatives. Presently, the major approaches to understand brain function involve the use of native neural circuits within their environment in vivo, of brain slices ex vivo, and of in vivo–mimetic circuits assembled in vitro. − The latter enable to scale down the complexity of the in vivo system and to study circuit functionality under controlled experimental conditions. ,− However, conventional in vitro neuronal cultures on a flat substrate do not recapitulate the structure and organization of in vivo circuits and usually fail to mimic relevant microenvironmental cues. In this context, microfluidic devices constitute a powerful toolkit to engineer superior neuronal circuits that more closely resemble their in vivo counterparts. − …”
The widespread adoption of microfluidic devices among
the neuroscience
and neurobiology communities has enabled addressing a broad range
of questions at the molecular, cellular, circuit, and system levels.
Here, we review biomedical engineering approaches that harness the
power of microfluidics for bottom-up generation of neuronal cell types
and for the assembly and analysis of neural circuits. Microfluidics-based
approaches are instrumental to generate the knowledge necessary for
the derivation of diverse neuronal cell types from human pluripotent
stem cells, as they enable the isolation and subsequent examination
of individual neurons of interest. Moreover, microfluidic devices
allow to engineer neural circuits with specific orientations and directionality
by providing control over neuronal cell polarity and permitting the
isolation of axons in individual microchannels. Similarly, the use
of microfluidic chips enables the construction not only of 2D but
also of 3D brain, retinal, and peripheral nervous system model circuits.
Such brain-on-a-chip and organoid-on-a-chip technologies are promising
platforms for studying these organs as they closely recapitulate some
aspects of in vivo biological processes. Microfluidic 3D neuronal
models, together with 2D in vitro systems, are widely used in many
applications ranging from drug development and toxicology studies
to neurological disease modeling and personalized medicine. Altogether,
microfluidics provide researchers with powerful systems that complement
and partially replace animal models.
“…Given the complexity of neural circuits, mapping the anatomical and functional features of the brain remains a challenging task for neurobiologists. − From a clinical point of view, neuronal loss and dysfunction are both associated with a variety of neurological disorders. , Understanding the pathophysiology underlying such disorders at the cellular and circuit levels is key to developing novel and more effective therapeutic alternatives. Presently, the major approaches to understand brain function involve the use of native neural circuits within their environment in vivo, of brain slices ex vivo, and of in vivo–mimetic circuits assembled in vitro. − The latter enable to scale down the complexity of the in vivo system and to study circuit functionality under controlled experimental conditions. ,− However, conventional in vitro neuronal cultures on a flat substrate do not recapitulate the structure and organization of in vivo circuits and usually fail to mimic relevant microenvironmental cues. In this context, microfluidic devices constitute a powerful toolkit to engineer superior neuronal circuits that more closely resemble their in vivo counterparts. − …”
The widespread adoption of microfluidic devices among
the neuroscience
and neurobiology communities has enabled addressing a broad range
of questions at the molecular, cellular, circuit, and system levels.
Here, we review biomedical engineering approaches that harness the
power of microfluidics for bottom-up generation of neuronal cell types
and for the assembly and analysis of neural circuits. Microfluidics-based
approaches are instrumental to generate the knowledge necessary for
the derivation of diverse neuronal cell types from human pluripotent
stem cells, as they enable the isolation and subsequent examination
of individual neurons of interest. Moreover, microfluidic devices
allow to engineer neural circuits with specific orientations and directionality
by providing control over neuronal cell polarity and permitting the
isolation of axons in individual microchannels. Similarly, the use
of microfluidic chips enables the construction not only of 2D but
also of 3D brain, retinal, and peripheral nervous system model circuits.
Such brain-on-a-chip and organoid-on-a-chip technologies are promising
platforms for studying these organs as they closely recapitulate some
aspects of in vivo biological processes. Microfluidic 3D neuronal
models, together with 2D in vitro systems, are widely used in many
applications ranging from drug development and toxicology studies
to neurological disease modeling and personalized medicine. Altogether,
microfluidics provide researchers with powerful systems that complement
and partially replace animal models.
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