Basic cellular and circuit mechanisms underlying seizure initiation and propagation remain
poorly understood. Yet, advances in this domain may be vital for the development of new
treatments for epilepsy. Further progress will benefit from detailed investigation of
large-scale neural activity at high speed and across brain states including interictal,
preictal, ictal, and postictal phases of seizures. New methods that facilitate such large
scale recording with increasing spatial and temporal resolution are now being used and
applied to the study of seizures and epilepsy in experimental model systems in
vivo.Electrophysiology (including single unit and local field potential [LFP] recording,
electroencephalogram, etc) is the standard tool for monitoring neural activity in epilepsy
research. Electrical recording can be limited by spatial resolution, scale, and an inability
to definitively identify cell type of interest, although it should be noted that imaging
cannot (yet) approach the temporal resolution of electrical recording. And of course
electrophysiological methods also continue to advance, including optogenetic tagging of
neuronal populations to identify specific cell types[1] and novel probes that facilitate recording of on the order of a thousand single units.[2] Recent studies[3-6] have used an optical imaging method, 2-photon laser scanning microscopy (2P imaging)
combined with use of genetically encoded calcium indicators (2P calcium imaging) to record
seizures. This technique uses a high-powered, pulsed infrared laser that facilitates imaging
at depth in light scattering environments such as the intact brain. Calcium indicators,
including genetically encoded indicators that can be delivered via viral vectors or
expressed using transgenic mice, provide an indirect, low-pass filtered readout of
electrical activity across hundreds or even thousands of cells with single-cell resolution,
and can be expressed in genetically/molecularly defined cell types.An exciting recent paper, Aeed et al, 2020,[7] combined 2-photon calcium imaging and electrophysiological recording to investigate
the mechanism of initiation of seizure-like events induced by application of chemoconvulsive
agents 4-aminopyridine (4-AP) or picrotoxin to the neocortex in a rodent model. The authors
performed experiments in transgenic mice expressing Cre recombinase under the control of
promoter elements specific for key seizure-related cell types. In addition, the authors
further combined this with advanced optical techniques such as use of a prism, to image at a
90° angle to the axis of the microscope objective which facilitates simultaneous recording
of neuronal activity along the depth of the neocortex. Seizure-like events were induced
mainly in anesthetized mice and activity was characterized separately in various cell types:
excitatory neurons in layer 2/3, 4, and 5, and inhibitory parvalbumin-expressing (PV)
GABAergic interneurons (PV-INs) and somatostatin-expressing (SST) GABAergic INs (SST-INs).
Electrophysiological recordings were used to define the onsets of spikes and seizures.
Relative to the identified onset of interictal spikes and seizures, the authors calculated
cell–cell synchrony using cross-correlation between cells, and connectivity analysis was
implemented to derive coactivation patterns based on temporal similarity. A machine learning
algorithm, support vector machine, was implemented and applied to low dimensional diffusion
maps extracted from the connectivity matrices to classify the 2-photon calcium imaging
data.The authors designed a very clever and technically challenging experiment to establish the
key finding that seizure-like events initiate in layer 2/3, irrespective of where 4-AP is
administered. The authors imaged layer 2/3, 4, or layer 5, with simultaneous recording of
the LFP, and then applied 4-AP either to the surface of the neocortex, or locally.
Interictal spikes were confined to layer 2/3 and 4, whereas seizures initiated in layer 2/3
and slowly invaded layer 5. Interestingly, pyramidal neurons in layer 2/3 were more
prominently recruited by seizures (but not by interictal spikes) than PV-INs or SST-INs,
whereas propagated seizures recruited different cell types similarly in layer 4. Application
of the machine learning algorithm to layer 2/3 pyramidal neurons differentiated the onset of
spikes and seizures with high accuracy. This data suggests that seizure initiation in this
model requires and is driven by synchronous activation of layer 2/3 pyramidal neurons in the
context of impaired recruitment of PV and SST-INs, whereas this “E/I mismatch” or imbalance
does not occur in layer 4 or 5/6. This general pattern of synchronous recruitment of
pyramidal neurons and PV-INs was also observed for interictal spikes; however, for spikes,
recruitment of the two cell types in layer 2/3 remained balanced. This observation further
suggests a potential mechanistic or causal relationship between the two types of events,
with imbalance between pyramidal cell and PV-IN activation leading to transition from spike
to seizure. This remains somewhat observational but potentially could be further tested via
manipulation (activation or inhibition) of defined subsets of INs during interictal spikes
and/or seizures, for example using chemo- or optogenetics.Overall, the experimental design and data analysis were rigorous and provide support for
the induction of differential cell type-specific neural activity by chemoconvulsant agents
during spikes and seizure-like events. The combination of imaging and electrophysiology
across layers and neuronal subclasses as well as simultaneous recording from layer 2/3 to 5
using a prism provides a novel glimpse into initiation and propagation of seizure-like
events.It should again be noted however that the seizure-like events were chemically induced in a
healthy brain, and hence may not reflect the properties of initiation of spontaneous
seizures in an epileptic brain. 4-aminopyridine, the agent used in the study, has many
mechanisms of action, including blockade of Kv3 subfamily potassium channels at low
concentrations which are well-known to facilitate high-frequency firing by fast-spiking
GABAergic PV-INs in cerebral cortex. Hence, there may be some circularity in making
inferences as to the mechanisms of seizure generation when such events are induced
pharmacologically using agents that clearly act at least in part via impairment of
inhibition. Would the same results obtain in a model in which PV-IN function was not
impaired directly by 4-AP? Second, interictal spikes versus seizure-like events were
recorded predominantly in anesthetized mice and classified based exclusively on LFP
features, although the authors note that some events were accompanied by behavioral whisking
movements. That said, 2P imaging of seizures, for example from experimental rodent models of
acquired chronic temporal lobe epilepsy, has proven quite challenging for various reasons.
However, naturalistic seizures have been studied using 2P imaging in mouse models of genetic
epilepsies including absence seizures[3] and temperature-induced generalized tonic–clonic seizures in Dravet syndrome (Scn1a+/-mice).[4]Despite these limitations, the highlighted study takes an important step forward both
conceptually and methodologically toward greater understanding of seizure mechanisms.
Two-photon calcium imaging and other large-scale imaging modalities, particularly when
validated by or in combination with electrophysiology and combined with manipulation of
activity, promise to be powerful tools for the studying of mechanisms of seizure initiation
and propagation.
Authors: Conny H Tran; Michael Vaiana; Johan Nakuci; Ala Somarowthu; Kevin M Goff; Nitsan Goldstein; Priya Murthy; Sarah F Muldoon; Ethan M Goldberg Journal: J Neurosci Date: 2020-02-26 Impact factor: 6.167
Authors: James J Jun; Nicholas A Steinmetz; Joshua H Siegle; Daniel J Denman; Marius Bauza; Brian Barbarits; Albert K Lee; Costas A Anastassiou; Alexandru Andrei; Çağatay Aydın; Mladen Barbic; Timothy J Blanche; Vincent Bonin; João Couto; Barundeb Dutta; Sergey L Gratiy; Diego A Gutnisky; Michael Häusser; Bill Karsh; Peter Ledochowitsch; Carolina Mora Lopez; Catalin Mitelut; Silke Musa; Michael Okun; Marius Pachitariu; Jan Putzeys; P Dylan Rich; Cyrille Rossant; Wei-Lung Sun; Karel Svoboda; Matteo Carandini; Kenneth D Harris; Christof Koch; John O'Keefe; Timothy D Harris Journal: Nature Date: 2017-11-08 Impact factor: 49.962