Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Mar 13;44(11):e1446232023.
doi: 10.1523/JNEUROSCI.1446-23.2023.

Beyond a Transmission Cable-New Technologies to Reveal the Richness in Axonal Electrophysiology

Affiliations
Review

Beyond a Transmission Cable-New Technologies to Reveal the Richness in Axonal Electrophysiology

J C Mateus et al. J Neurosci. .

Abstract

The axon is a neuronal structure capable of processing, encoding, and transmitting information. This assessment contrasts with a limiting, but deeply rooted, perspective where the axon functions solely as a transmission cable of somatodendritic activity, sending signals in the form of stereotypical action potentials. This perspective arose, at least partially, because of the technical difficulties in probing axons: their extreme length-to-diameter ratio and intricate growth paths preclude the study of their dynamics through traditional techniques. Recent findings are challenging this view and revealing a much larger repertoire of axonal computations. Axons display complex signaling processes and structure-function relationships, which can be modulated via diverse activity-dependent mechanisms. Additionally, axons can exhibit patterns of activity that are dramatically different from those of their corresponding soma. Not surprisingly, many of these recent discoveries have been driven by novel technology developments, which allow for in vitro axon electrophysiology with unprecedented spatiotemporal resolution and signal-to-noise ratio. In this review, we outline the state-of-the-art in vitro toolset for axonal electrophysiology and summarize the recent discoveries in axon function it has enabled. We also review the increasing repertoire of microtechnologies for controlling axon guidance which, in combination with the available cutting-edge electrophysiology and imaging approaches, have the potential for more controlled and high-throughput in vitro studies. We anticipate that a larger adoption of these new technologies by the neuroscience community will drive a new era of experimental opportunities in the study of axon physiology and consequently, neuronal function.

Keywords: axon computations; axon electrophysiology; axon guidance; functional imaging; microelectrode arrays.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1.
Figure 1.
Methods for probing axonal activity. Schematic representation of the main experimental approaches to probe axonal activity and the respective stimulation and/or recording capabilities. The labels are merely illustrative and may not represent the signals/waveforms characteristic of each technique.
Figure 2.
Figure 2.
Methods for controlling axon guidance. Schematic representations of approaches to control axon guidance via physical (top) and chemical (bottom) patterning. Detailed explanations of each method can be found in the respective subsection [engineered substrates; microfluidics; microcontact printing (µCP); in situ techniques]. For each method, the nature of the guiding feature (continuous; discontinuous, or custom) and possible direction for axon growth (unidirectional; bidirectional; multidirectional, or custom) are described.

Similar articles

Cited by

References

    1. Abbott J, Ye T, Krenek K, Gertner RS, Ban S, Kim Y, Qin L, Wu W, Park H (2019) A nanoelectrode array for obtaining intracellular recordings from thousands of connected neurons. Nat Biomed Eng 4:232–241. 10.1038/s41551-019-0455-7 - DOI - PMC - PubMed
    1. Abbott J, Ye T, Krenek K, Gertner RS, Wu W, Jung HS, Ham D, Park H (2020) Extracellular recording of direct synaptic signals with a CMOS-nanoelectrode array. Lab Chip 17:3239–3248. 10.1039/D0LC00553C - DOI - PubMed
    1. Acarón Ledesma H, Li X, Carvalho-de-Souza JL, Wei W, Bezanilla F, Tian B (2019) An atlas of nano-enabled neural interfaces. Nat Nanotechnol 14:645–657. 10.1038/s41565-019-0487-x - DOI - PMC - PubMed
    1. Aebersold MJ, Dermutz H, Forró C, Weydert S, Thompson-Steckel G, Voros J, Demkó L (2016) “Brains on a chip”: towards engineered neural networks. Trends Analyt Chem 78:60–69. 10.1016/j.trac.2016.01.025 - DOI
    1. Akemann W, Lundby A, Mutoh H, Knöpfel T (2009) Effect of voltage sensitive fluorescent proteins on neuronal excitability. Biophys J 96:3959–3976. 10.1016/j.bpj.2009.02.046 - DOI - PMC - PubMed

Publication types

LinkOut - more resources