Thursday, December 29, 2016

Journal club: Evolution of highly diverse forms of behavior in molluscs

Current Biology 26, R965-71 (2016)
Binyamin Hochner and David L. Glanzman
DOI: http://dx.doi.org/10.1016/j.cub.2016.08.047

This short review paper starts off with the comparative anatomy of the nervous system.  The authors discuss the diversity of the nervous system and its co-evolution with body plan by showing a variety of nervous systems from Solenogastres to cephalopods. Then, cellular mechanisms of synaptic plasticity underlying learning in the gastropod Aplysia and the cephalopod Octopus were discussed.

The first part was fun to read.
Comparative anatomy of the nervous system is a good reminder that the molluscan nervous system, or the medullary cord, is organized in a ladder-like fashion. The loss of collinear pattern of gene expression may explain their simple body plans. The supremacy of Octopus in the motor and cognitive abilities can be due to the high expansion of two developmentally important gene families, extensive transposable element activity, and genome rearrangements.

The second part was somewhat boring.
The title says the diversity of behavior, but this part actually covers just synaptic plasticity in Aplysia (serotonin-mediated long-term facilitation) and Octopus (long-term potentiation). The mechanisms underlying the serotonergic enhancement of synaptic strength has already been described five hundred times elsewhere.  Plus, I don't think this is a valid comparison to discuss about the evolutional process, because the gill-withdrawal reflex and the higher-order learning are completely different brain functions. Such comparison merely shows different types of learning regardless of species, not actually explains the species-dependent differences or the evolution. This is like comparing the spinal reflex and motor learning in two different vertebrate species. No wonder they are different; synaptic plasticity has little to do with the diversity of behavioral expressions.




Monday, August 22, 2016

No bubble?



Experimental procedures often have lots of superstitions.
Even in electrophysiological techniques there are plenty of those.
Superstitions often make one comfortable while doing stressful experiments; however, it looks silly when you see someone following a superstition that you don't believe in.

Here's an example: the bubbles in a glass capillary microelectrode.
I know some people seriously worry about those bubbles. They let the electrode sit in a tube filled with 3M KCl solution for a few minutes. It looks as if some sort of Buddhist ceremony with an insence standing up in front of an altar.

I don't believe that religion and here's why.
Here is a microelectrodes with ugly bubbles.


I let the silver wire not to penetrate through these bubbles.
And the resistance was...


The voltage drop was -38mV with no bridge when -1nA was passed. 
So the electrode resistance was 38 MΩ.


Then, I let the bubble go out. 
Yes it took me a few minutes to get rid of all tiny bubbles.


And the resistance was...


It was reduced by 1 MΩ. 
So, those ugly stupid bubbles costed me 1 MΩ!

MΩ, Oh well...
Tell you what, when you play with 6 electrodes simultaneously poking around neurons looking for Si2 or Si3 or whatever cells, 1 MΩ drift is nothing.  The electrode resistance will change anyway by tens of MΩ when you poke around the brain looking for cells. It is no worth spending a good few minutes just to get rid of those stupid 1 MΩ bubbles. Just go for a poke with it and replace it when clogged. Think about the efficiency of your labor. Don't worry about the bubbles. 

Monday, July 25, 2016

The recovery paper has come out



Finally, my "recovery paper" came out:

DOI: 10.1523/ENEURO.0056-16.2016

This paper shows that, when a neural circuit failed by losing one of its synapses within, functional recovery can occur through reorganization of the remaining neural circuitry. We show that a molluscan neural circuit recruits additional neurons in response to a lesion. The extent of recruitment predicts the extent of behavioral recovery. 


Even in a well-defined (sort of) invertebrate neural circuit, there are indirect, polysynaptic pathways that provide compensatory function or flexibility to the circuit. Such individual variability appears to be hidden under normal conditions but becomes relevant when challenged by neural injury.

This paper is a sequel of two preceding papers:


Sunday, July 24, 2016

A simple half-center network oscillator with a twist

My latest paper came out from J Neurophys:
by Akira Sakurai and Paul S. Katz
DOI: 10.1152/jn.00150.2016

This paper describes the central oscillatory circuit underlying rhythmic swimming of a nudibranch sea slug, Dendronotus iris.

Dendronotus iris swims by rhythmically flexing its body to left and right.

The Dendronotus brain is a cluster of lobes or "ganglia." The neurons that produce the rhythmic motor output for swimming have their cell bodies in the pedal ganglia. They all project the axons toward the other side of the brain to synapse with their contralateral counterparts.  

The circuit is a typical "half-center oscillator" that consists of only two bilateral pairs of neurons. The paired neurons each inhibit their contralateral counterparts.  The circuit has a “twisted” organization; that is, a neuron in one pair is excitatory-coupled contralaterally to a neuron in the other pair.

The Dendronotus swim CPG is a half-center oscillator.  The left illustration shows actual synaptic connections. The left Si3 (L-Si3) neuron forms an excitatory synapse and electrical connection onto the right Si2 (R-Si2), forming a twisted configuration. A modified version is shown on the right. Coupled Si2 and Si3 neurons form a functional unit that works as a half-center to produce rhythmic bursting.
The half-center oscillator is the simplest design of a network oscillator, in which two neuronal elements with no endogenous rhythmicity form reciprocally inhibititory synapses. The half-center theory was first proposed by T. Graham Brown in 1911 after the historical experiment with a walking cat with transected spinal cord.

In addition to the reciprocal inhibition, each functional unit of the half-center oscillator generally contains the excitatory neurons that provide rhythmic excitatory drive onto the mutually-inhibitory neurons (eg., Clione, tadpole, lamprey, zebrafish, and mice). Because of high complexity with so many neurons involved, the role of the excitatory neurons have not been clearly understood.  Here, we found that the Dendronotus swim circuit consists of only 4 neurons. By using "Dynamic Clamping" technique, we manipulated the strength of the excitatory synapse and found that they play crucial roles for the circuit to function as the half-center oscillator.  To our knowledge, this is probably the simplest half-center oscillator described to date. Because of such simplicity, this circuit is also highly manipulable, and hence may provide a good system to study the fundamental properties of a network oscillator.