Skip to main content

REVIEW article

Front. Physiol., 02 December 2022
Sec. Invertebrate Physiology
This article is part of the Research Topic Neurobiology of Drosophila: the 19th NeuroFly-2022 Meeting View all 9 articles

Critical periods in Drosophila neural network development: Importance to network tuning and therapeutic potential

  • 1Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
  • 2Department of Zoology, University of Cambridge, Cambridge, United Kingdom

Critical periods are phases of heightened plasticity that occur during the development of neural networks. Beginning with pioneering work of Hubel and Wiesel, which identified a critical period for the formation of ocular dominance in mammalian visual network connectivity, critical periods have been identified for many circuits, both sensory and motor, and across phyla, suggesting a universal phenomenon. However, a key unanswered question remains why these forms of plasticity are restricted to specific developmental periods rather than being continuously present. The consequence of this temporal restriction is that activity perturbations during critical periods can have lasting and significant functional consequences for mature neural networks. From a developmental perspective, critical period plasticity might enable reproducibly robust network function to emerge from ensembles of cells, whose properties are necessarily variable and fluctuating. Critical periods also offer significant clinical opportunity. Imposed activity perturbation during these periods has shown remarkable beneficial outcomes in a range of animal models of neurological disease including epilepsy. In this review, we spotlight the recent identification of a locomotor critical period in Drosophila larva and describe how studying this model organism, because of its simplified nervous system and an almost complete wired connectome, offers an attractive prospect of understanding how activity during a critical period impacts a neuronal network.

Introduction

Critical periods (CPs) are so-called because abnormal activity during such periods can induce permanent structural and/or functional change to a neuronal network. By contrast, the same manipulations prior to, or following, such periods have considerably reduced effects. First identified in the mammalian visual system (Hubel and Wiesel, 1970; Hubel et al., 1977), perhaps the best documented arise from studies which show that monocular deprivation, during a defined CP, is sufficient to skew the development of ocular dominance to favor the open eye; an effect that is greatly reduced when visual manipulation occurs after CP closure (Fagiolini and Hensch, 2000; Hensch, 2005; Morishita and Hensch, 2008; Gomez-Diaz et al., 2018; Hensch and Quinlan, 2018). That CPs exist, however, present something of a paradox. This is because it is established that experience-dependent plasticity is key to ensure optimal network configurations form. As such the restriction of heightened plasticity to time-limited defined windows is not, it would appear, supportive of future significant alterations to circuit function (Takesian and Hensch, 2013). This apparent conflict of early plasticity windows which enable optimization of circuitry versus the ensuing subsequent limitations to further significant adjustment is currently difficult to reconcile and will, undoubtedly, benefit from additional model systems, more amenable to experimental intervention.

Developing circuits exhibit intrinsic activity. Where such activity has been visualized in detail, early spontaneous activity often transforms to patterned activity as a network matures. A good example is provided by the zebrafish spinal cord where calcium-imaging shows a transition from spontaneous irregular to patterned activity as development proceeds (Warp et al., 2012). A similar transition occurs in zebrafish optic tectum where pairwise correlations show increasing complexity, peaking at 5 days post fertilization (dpf). Moreover, activity-manipulation of visual experience, during these early stages in fish development, reduces hunting (a visually guided behavior) in older animals tested up to 9 dpf (Avitan et al., 2017). A similar transition of spontaneous to coordinated activity is evident in the development of the Drosophila larval locomotor circuitry. Early activity of body-wall muscles manifests as spontaneous twitch-like contractions restricted to individual segments. There is a notable transition as development proceeds, over the space of just a few hours, to patterned coordinated body muscle contractions that travel the length of body and which reflect mature larval peristalsis (Baines and Bate, 1998; Crisp et al., 2008; Crisp et al., 2011). Activity manipulations, via drug exposure, optogenetics or genetic manipulation, of the developing locomotor circuitry within the CNS have defined a CP that spans these two phases of activity (Giachello and Baines, 2015). As might be predicted, activity perturbation during this CP results in marked alteration to locomotor circuits in later larvae: specifically altered synaptic excitation of motoneurons and, at the whole network level, a heightened seizure-like activity in response to strong stimulation, in this example an electroshock (Giachello and Baines, 2015) (Figure 1).

FIGURE 1
www.frontiersin.org

FIGURE 1. Manipulation of activity during the Drosophila locomotor CP is sufficient to induce a seizure-like phenotype. Manipulating activity during embryogenesis, in this instance via feeding gravid females either picrotoxin (PTX, excitatory) or phenytoin (PHY, inhibitory), is sufficient to disturb neuronal activity during the embryonic CP (indicated in yellow). Activity manipulation during this CP results in an unstable locomotor network. Thus, in response to electroshock, wall-climbing third instar larvae (L3), 5 days later and when no trace of drug is present, exhibit an extended seizure-like bout [for more details of this behavior see (Marley and Baines, 2011)]. L1 and L2 are first and second instar stages, respectively.

In contrast to sensory networks, a requirement for activity to shape the development of a motor circuit is not immediately apparent. Indeed, the relative simplicity of motor circuits might be considered sufficient to allow intrinsic genetic programs to orchestrate development. A seemingly ubiquitous requirement for CPs, regardless of functional modality, is a strong argument against such a view and raises a fundamental question of which network parameters are influenced during such periods. Essentially, what is the role of a CP? That synaptic connectivity and behavior are influenced, in Drosophila, by developmental temperature suggests that such periods may allow developing nervous systems to compensate for unforeseen changes in the external environment (Kiral et al., 2021). Developing mammals, presumably more protected from changing temperature, nevertheless must compensate for stochastic influences due to genetic background, exposure to pathogens and/or dietary toxins. The existing models currently used to understand CPs, specifically mammalian sensory circuits, are complex which hampers understanding of how activity influences network tuning through modification of individual cellular excitable properties and synaptic connectivity. Thus, many questions remain unresolved; notably how plasticity mechanisms operating at the level of individual cells combine to achieve adjustment at the level of the network; and how early adjustment rules might differ, potentially fundamentally, from subsequent plasticity mechanisms.

The Drosophila locomotor system offers experimental opportunity to understand critical periods

Drosophila has proven a powerful laboratory workhorse for both the identification of genes and mechanisms that orchestrate the development and function of the nervous system. In this regard it is notable that multiple CPs have been identified in the development of the Drosophila larval motor and adult olfactory circuits (Crisp et al., 2008; Crisp et al., 2011; Fushiki et al., 2013; Giachello and Baines, 2015; Giachello and Baines, 2017; Golovin et al., 2019; Ackerman et al., 2021) (Figure 2). The Drosophila larval motor network, in particular, offers the possibility to integrate both cell-specific and network effects of activity perturbation. This is because the larval Drosophila connectome is nearing completion, describing at the level of single cell identity, the “wired” connectivity map of the larval CNS (Ohyama et al., 2015; Fushiki et al., 2016; Zwart et al., 2016; Kohsaka et al., 2019; Zarin et al., 2019). Moreover, for locomotor circuits, normal neuronal function and deviations from the normal state are comparatively straightforward to determine, as usually explicit in the execution of behavioral (locomotor) outputs.

FIGURE 2
www.frontiersin.org

FIGURE 2. Known CPs in Drosophila. Five different, but in some cases, overlapping CPs have been reported in Drosophila. (i) Manipulation of activity between 17.5 and 18.5 h after egg laying (AEL) is sufficient to delay the development of the locomotor circuit to support hatching (Crisp et al., 2011). (ii) Manipulation of activity between 17–19 h AEL is sufficient to induce a seizure phenotype in larvae (Giachello and Baines, 2015). (iii) Manipulation of sensory input, via chordotonal neurons, between 16–20 h AEL is sufficient to reduce crawling speed in larva (Fushiki et al., 2013). (iv) Activity manipulation, in the last hr of embryogenesis through, with weakening influence, to 8 h after hatching, is sufficient to alter motoneuron dendritic growth (Ackerman et al., 2021). (v) Exposure to odor is sufficient to alter synaptic connectivity in the olfactory system within the first 2 days after eclosion (Golovin and Broadie, 2016; Golovin et al., 2019).

The Drosophila larval locomotor circuit comprises ∼33 identified motoneurons per hemi-segment that innervate ∼30 identified and accessible body wall muscles (Sink and Whitington, 1991; Landgraf et al., 1997; Hoang and Chiba, 2001; Landgraf et al., 2003; Zarin et al., 2019). Motoneurons receive excitatory synaptic drive from cholinergic premotor interneurons that form part of a central pattern generator (CPG) which is sufficient, without need for sensory input, to generate coordinated locomotor output (Suster and Bate, 2002). Electrophysiological recordings from motoneurons, in vivo, show that ion channels first express at around 13 h after egg laying (AEL): full embryogenesis taking ∼21 h (Baines and Bate, 1998). The first appearance of synaptic currents, an indicator of emergence of network function, occurs at 17 h AEL. Optogenetic manipulation of central neuron activity identified a 2 h period, beginning at 17 h AEL, which exhibits heightened sensitivity to activity perturbation (Giachello and Baines, 2015). Manipulating activity of interneurons during this period is sufficient to cause lasting changes that persist to the end of larval life. These changes lead to significantly lengthening of the recovery time to electroshock in mature larvae (tested 5 days post-manipulation). By contrast, manipulations before or after this 2 h window are relatively ineffective in leading to lasting change (Figure 3). We interpret this difference to mean that larvae manipulated during the CP, and that exhibit longer seizures as larvae, carry forward significant, and permanent, change to their locomotor networks which manifest as being less able to counter strong stimulation (i.e., that induced by an electroshock). Interestingly, the timing of this embryonic CP (17–19 h AEL) coincides precisely with the emergence of network function via synaptic transmission and the emergence of patterned activity in the CNS, leading to full peristaltic body wall muscle contractions (Baines and Bate, 1998; Crisp et al., 2008).

FIGURE 3
www.frontiersin.org

FIGURE 3. Manipulation of activity during Drosophila embryogenesis identifies a locomotor CP. (A) Activation of Cryptochrome-expressing neurons, by exposure to blue light (BL, 470 nm), can be exploited to increase activity in the CNS (Marley et al., 2014). Timed BL exposure localizes the embryonic locomotor CP to ∼17–19 h AEL (at 25°C). (B) Timeline for blue light exposure during embryogenesis and effect to seizure-like activity in subsequent wall-climbing third instar larvae. Only exposure to blue light during 17–19 h AEL is effective in inducing an increased seizure response. Blue light exposure before, or following, this 2 h window is less effective. For more details see (Giachello and Baines, 2015).

Genetic manipulation of central synaptic release shows that appropriately patterned network activity is necessary for coordinated locomotor movements to emerge on time. This is similarly indicative of this phase being essential for network tuning. By contrast, similar transient manipulations after onset of patterned activity are ineffective in delaying motor network maturation (Crisp et al., 2011). Two more recent studies add more to the understanding of this key stage of embryonic development. In the first, Carreira-Rosario et al. (2021) used calcium-imaging to monitor the embryonic progression of spontaneous muscle activity. They report that the transition from un-patterned to patterned muscular activity is key to the subsequent emergence of rhythmic locomotor CPG activity. Blocking muscular activity during these key stages resulted in larvae with altered behavior, which spent longer crawling rather than turning and/or head-casting (Carreira-Rosario et al., 2021). In the second study, Zeng et al. (2021), validated the key requirement for mechanosensory input to shape the developing locomotor CPG, and also identified what might be considered a “hub neuron” (the M-neuron), which is seemingly one of the first neurons to become active and needed for the development of the CPG (Zeng et al., 2021).

One of the unique strengths of the Drosophila locomotor network is that individual motoneurons are identifiable and accessible to patch electrodes: thus the “same” cell can be recorded across preparations and genotypes. Recordings from the anterior corner cell (aCC, MN1b) motoneuron show a profound change in synaptic drive following activity perturbation during the CP (Giachello and Baines, 2015). Specifically, excitatory cholinergic synaptic currents are increased in duration and drive greater action potential firing in aCC. It is particularly noteworthy that this change results following either imposed increased excitation (channelrhodpsin) or increased inhibition (halorhodpsin) during the CP, indicative that change from a pre-determined activity level is deterministic and not the direction of that change. The same change to excitatory synaptic currents is also seen in single gene mutations that alter neuronal activity (e.g., parabss: an overactive hypermorph of the sole voltage-gated Na+ channel expressed in flies) or following exposure of the developing embryo to proconvulsants such as picrotoxin (PTX, a GABAA receptor blocker) (Giachello and Baines, 2015). This consistency of outcome, regardless of the cause of activity perturbation, hints that developing networks utilize defined, activity-dependent, rules to tune intrinsic excitability and/or connectivity to maintain fixed outputs. If so, then it is tempting to speculate that such “tuning” rules are first enacted during a CP.

Closure of a Drosophila critical period

In a recent study, Ackerman et al. (2021), reported a CP in the activity-dependent growth of motoneuron dendrites in the developing larval locomotor network. Focusing on well characterized motoneurons (specifically the aCC and RP2 cells), these authors showed that blockade of activity, during the last hr of embryogenesis (i.e., 20 h AEL), is sufficient to increase dendritic arbor growth, an effect that persisted, albeit weakening, through to 8 h after hatching. Potentiation of neuron activity resulted in an equivalent, but opposite effect, decreasing dendritic growth. Analysis of synaptic inputs, from identified premotor interneurons, showed that neuron silencing decreases inhibitory, but increases excitatory synapses on aCC/RP2. By contrast, potentiation of activity reduced excitatory synapse number but did not change number of inhibitory synapses. Similar effects were first reported in this same system following manipulation of excitatory cholinergic signaling. Blocking synthesis or release of acetylcholine (the principle excitor in the insect CNS) resulted in increased dendritic growth in aCC, whilst increasing the density of presynaptic release sites for this transmitter was sufficient to reduce dendritic growth (Tripodi et al., 2008). These changes appear compensatory and are indicative of an attempt by the locomotor network to maintain an appropriate excitation-inhibition balance. Moreover, activity manipulation during the earlier 17–19 h CP also significantly influences the excitation:inhibition balance, in this instance by favoring excitatory synaptic signaling (Giachello and Baines, 2015). After 8 h of larval life, activity manipulation fails to influence dendritic growth (Ackerman et al., 2021). The apparent closure of this CP coincides with astrocyte infiltration of the neuropil (Stork et al., 2014). Remarkably, genetic ablation of astrocytes extended the effect of activity manipulation on dendritic growth, an effect Ackerman et al. (2021), link to Neuroligin-Neurexin signaling. Closure of mammalian CPs, for example, in visual system, is also mediated by maturation of astrocytes, an effect linked with increasing expression of Connexin30 (Cx30) in these cells. Moreover, knockdown of Cx30 extended the CP in mouse visual cortex further indicative that maturation of astrocytes contributes to CP closure (Ribot et al., 2021). Astrocyte maturation which, together with components derived from neurons and oligodendrocytes, orchestrate the formation of perineuronal nets (PNNs). The assembly of these protein-based nets is activity-dependent, with their formation around neuronal soma demarking the beginning of CP closure. Thus, PNNs are widely believed to act as “plasticity brakes” [for review see (Takesian and Hensch, 2013; Gibel-Russo et al., 2022)].

The Drosophila olfactory system exhibits a critical period

In addition to the larval motor system, the adult Drosophila olfactory system represents a similarly powerful model, because of a developing sensory network that is equally well characterized (Gomez-Diaz et al., 2018). Olfactory sensory neurons (OSNs) that express the same olfactory receptors (ORs) project to common glomeruli in a region of the central brain called the antennal lobes. This neuronal map had been considered hard-wired because loss of olfaction resulted in no obvious changes to connectivity (Larsson et al., 2004). However, more recent studies have shown that individual glomeruli can alter both their morphology and synaptic connectivity in response to manipulation of odors in early adult life [for a review see (Golovin and Broadie, 2016)]. For example, exposure of newly emerged adults (0–2 day old) to ethyl butyrate is sufficient to reduce innervation of the VM7 glomerulus by the Or42a OSN (expressing the receptor activated by this odorant). This reduction is due, in part, to an elimination of synaptic contacts that form between the OSN and VM7. Identical exposure at later stages, e.g., between 7 and 9 days after eclosion, has a much-reduced effect, consistent with the existence of a CP. This effect of precocious odorant exposure is blocked when activity of Or42a OSN was suppressed, indicative that afferent activity during a CP can drive tuning in a sensory network. Moreover, removing animals from ethyl butyrate exposure, whilst the CP is still open, results in most, but not all, animals showing a reversal of the remodeling that normally occurs in response to this odor indicating that, like mammalian sensory systems, errors made during a CP can become locked in (Golovin et al., 2019).

Synaptic excitation is influenced following activity perturbation during a critical periods

The opening of a CP coincides with increasing GABA-mediated inhibition. Thus, manipulation of GABAergic signaling is sufficient to change CP onset, an effect that requires the presence of the GABAA α1 receptor (Hensch et al., 1998; Fagiolini et al., 2004). The increase in inhibition is seemingly matched, at least where studied, by a fall in excitatory synaptic drive, again indicative of a change in the excitation:inhibition balance occurring during a CP (Zhang et al., 2018). This seeming anti-homeostatic effect (inhibition up and excitation down) has been observed, during a CP, in both visual and auditory cortex. These observations have led to the proposal of synaptic imbalance triggering, and characterizing, a CP [reviewed in (Wong-Riley, 2021)]. The locomotor CP in Drosophila also occurs at a time when GABAergic signaling is maturing (Kuppers et al., 2003) and, as we describe below, is similarly characterized by synaptic imbalance.

The Drosophila larval connectome provides great promise for identifying those components of the larval CPG that are altered following activity perturbation during a CP. We have recently validated monosynaptic connectivity, that had been predicted by the connectome, for four identified premotor interneurons (INs) with the aCC motoneuron (Zarin et al., 2019; Giachello et al., 2022). These cells are the cholinergic excitors A27h and A18a, and the GABAergic inhibitors A23a and A31K. The identification of cell-selective “split” GAL4 driver lines [consisting of restricted expression of regulatory targets only in cells where the two components of the split-GAL4 activator are co-expressed (Luan et al., 2006)] for these cells allows their individual synaptic drive of motoneurons, elicited by optogenetic excitation, to be measured. Thus far, however, we have examined how the strength of all cholinergic (excitatory) synaptic drive was affected by activity manipulation during the embryonic locomotor CPG (Giachello and Baines, 2015). These measurements were carried out at the wandering third instar stage, some 5 days after CP perturbation. Thus, any changes observed would have been “locked in” by the transient embryonic CP perturbation. Our analysis showed that activity perturbation during the CP (achieved by exposing embryos to the proconvulsant PTX or use of the genetic seizure mutation, parabss) results in increased excitatory synaptic drive not only during this period, but also throughout the larval life course, consistent with permanent change being locked-in (Marley and Baines, 2011). This change in excitatory synaptic drive was accompanied by increased action potential firing in aCC (Giachello et al., 2021) (Figure 4). Thus, our observations in Drosophila mirror, to some extent, those in mammals in that activity perturbation, during an embryonic CP, alters synaptic balance, both during the CP and, in this instance, beyond. However, studies in Drosophila are currently lacking to show how activity, in non-manipulated animals, changes during this CP.

FIGURE 4
www.frontiersin.org

FIGURE 4. Manipulation of activity during the Drosophila locomotor CP results in a change to the excitation:inhibition balance (A) Exposure of gravid females to the proconvulsant compound PTX is sufficient to increase activity during the embryonic CP. The same is also achieved with the seizure-prone parabss mutant (Marley and Baines, 2011). Five days later, wall-climbing L3 larvae were tested by either electrophysiological recording from aCC motoneurons or by electroshock (E.shock), in order to measure change to synaptic drive (SRC, spontaneous rhythmic current), or susceptibility to induced seizure, respectively. (B) Recordings from L3-larval aCC motoneurons (via the loose-patch technique) show increased endogenous (i.e., spontaneous) spiking activity in conditions of excessive CP excitation (PTX and parabss). The spontaneous activity is driven by the endogenous central locomotor CPG. (C) Quantification of the number of action potentials per bout. One-way ANOVA (F(2, 27) = 3.91, p = 0.03) followed by Bonferroni’s post-hoc test (n = 10 in each group). This figure is reproduced from (Giachello et al., 2021) under a CC-BY license agreement.

Nitric oxide transduces neural activity during a critical period

A foremost question is how changes between synaptic partners, that occur during a CP, may impact other cells and their connections within a network, either locally in a sub-network or more globally? Such changes may be in response to activity-driven plasticity (i.e., “activity-driven”) or may result from homeostatic change in response to plasticity (i.e., “network-driven”). Moreover, whilst it is considered that such changes will act to promote network stability and functional “robustness” (i.e., an ability to tolerate strong stimuli), the possibility remains that they may instead destabilize network activity to the point of producing aberrant outputs associated with neurological disease (see below). The relative simplicity, coupled to the known connectome, provided by the Drosophila larval locomotor network offers the prospect of addressing these fundamental issues.

A recent study identified nitric-oxide (NO) to mediate, at least in part, the effects of activity manipulation during the CP in the larval Drosophila motor network (Giachello et al., 2021). Thus, the effect of activity-perturbation, during this CP, is potentiated or blocked by simultaneous manipulation of this signaling pathway. Importantly, the effect of such manipulations are dependent on the basal activity state of the embryonic CNS. Thus, the effect of increased neural activity during the CP is prevented by blocking canonical NO-signaling. By contrast, reducing neural activity during the CP is overcome by increasing NO-signaling. These, and additional manipulations, again indicate that it is the level of activity, rather than activity per se, that determines network function via, at least in part, changes in NO production (Giachello et al., 2021). This seemingly duplicitous activity of NO has been highlighted before, in different systems, from cell survival (Calabrese et al., 2009) to nociceptive transmission (Jin et al., 2011) and, particularly, epileptogenesis where its role is highly contradictory with significant evidence supporting both proconvulsive, and anticonvulsive activity (Hrncic et al., 2012). Thus far, the diversity of the downstream target molecules of NO-signaling, coupled to the lack of homogeneity among different studies (differing drugs, dose and route of administration applied to diverse seizure models), make it difficult to identify a mechanism. Indeed, it has been reported that NO can differentially modulate excitatory (glutamatergic) and inhibitory (glycinergic) synapses in dorsal horn neurons (Jin et al., 2011). Thus, our recent results, which show that NO manipulation produces disparate effects dependent on the prior activity state of the pre-manipulated circuit, offers a potential explanation.

Clinical relevance

Efforts to identify effective treatments for complex neurological disorders have largely been unsuccessful. Diseases such as epilepsy, autism and schizophrenia, remain significant burdens to society. A likely commonality between these diseases is they may derive from incorrect development of neural networks (Meredith et al., 2012; Marin, 2016; Ismail et al., 2017; Lee et al., 2017). Against this backdrop, the therapeutic potential of CPs is becoming evident. This is because recent studies show that activity manipulation, during such periods, may have significant clinical value by markedly reducing the impact of underlying causative mutations (Blumenfeld et al., 2008; Giachello and Baines, 2015; Marguet et al., 2015). Though this research is still very much in its infancy, we describe below some notable studies relating to epilepsy that serve to indicate the promise of CP manipulation.

Whilst progress continues in identifying genetic causes for epilepsy (Cunliffe et al., 2015; Noebels, 2015), the ability to manage seizures has remained frustratingly constant. Thus, despite the introduction of many new antiepileptic drugs (AEDs), roughly 30% of epilepsy sufferers remain refractory to drug treatment. Moreover, all AEDs are antiepileptic in that they reduce seizure frequency and/or severity but are not antiepileptogenic, i.e., they do not prevent the mechanism which leads to the occurrence of seizures in a brain. Thus, cessation of AED use invariably leads to recurrence of seizures. One of the first studies, showing that early treatment can have substantial benefit for epilepsy, exposed the absence-seizure model WAG/Rij rat to ethosuximide prior to first seizure onset. Pups fed ethosuximide, from p21 to 5 months, covering the period when seizures normally first manifest, showed few to no seizures up to age 8 months. The suppression of seizures was accompanied by changes in expression to ion channels (e.g., HCN, Nav1.1 and 1.6) that were consistent with seizure-suppression (Blumenfeld et al., 2008). Analysis beyond age 8 months has not, however, been reported. Thus, it cannot be stated whether this treatment merely delayed seizure onset or was, indeed, antiepileptogenic.

Manipulation of activity during the defined embryonic CP (17–19 h AEL) in the Drosophila locomotor circuit is equally sufficient to prevent the appearance of seizure-like activity in established single gene mutations used to model epilepsy. The first indication of this was provided by exposing developing embryos, carrying a mutation in the slamdance gene, to the AED phenytoin. Drug exposure was sufficient to prevent characteristic seizure-like activity in response to electroshock at third instar some 5 days later, when no traces of drug were present (Marley and Baines, 2011). The slamdance gene (recently renamed as julius seizure) encodes a membrane-spanning protein of unknown function but is a well-used model of seizure in Drosophila (Horne et al., 2017). A refinement of this experiment, using optogenetic stimulation of halorhodopsin to inhibit neuronal activity during embryogenesis, showed an identical outcome in the parabss seizure mutant (Giachello and Baines, 2015). Importantly, both the sda and parabss mutants show heightened synaptic excitation during embryogenesis that extends across the CP, consistent with aberrant activity during this period being sufficient to induce a seizure phenotype in larvae. As a test of this hypothesis, manipulating neuronal activity (either increasing or decreasing), in otherwise wild type embryos, is sufficient to induce seizure-like activity in larvae. Varying the time of optogenetic activity-manipulation again identified the 2 h period that is now defined as the locomotor CP (i.e., 17–19 h AEL). As expected, manipulated animals (seizure-rescued or seizure-induced) revert to their pre-manipulated genotypes during pupation to adult flies: a period when the nervous system is extensively rebuilt and when activity was not experimentally manipulated (Giachello and Baines, 2015). This remarkable finding has since been reproduced in mouse. Exposure of a Kv7 mutant to bumetanide, during the first 2 weeks postnatal before seizures occur, is sufficient to prevent the subsequent emergence of epilepsy that occurs in littermates not exposed to drug (Marguet et al., 2015). Collectively, these experiments provide strong support for the hypothesis that manipulating activity during early neural development, especially during CPs, can counter the presence of destabilizing network activity patterns. This, in turn, supports the view that key signaling parameters, possibly including homeostatic setpoints, are set during these developmental windows.

Similar conclusions have been reached from studies of Fragile-X syndrome, schizophrenia and, notably, amblyopia (Hensch and Quinlan, 2018; Asiminas et al., 2019; Mukherjee et al., 2019). In the latter example, asymmetric development of visual circuits can result in a shift in ocular dominance to leave an affected eye reduced in visual acuity. This condition occurs during the first 8 years of age in children and is relatively easy to correct by favoring visual input to the affected eye. Treatment, however, becomes progressively less successful after this age. Our understanding of the role of CPs in the development of the mammalian visual system thus provides a more detailed mechanistic understanding for this treatment regime. For example, short duration monocular deprivation during the CP results in transient change to ocular dominance that fully reverses on restoration of normal vision (Schwarzkopf et al., 2007). By contrast, monocular deprivation that lasts beyond the CP produces a change to visual acuity in the deprived eye that is resistant to rescue on restoration of normal vision. Numerous studies, in both human and non-human primates, show that visual plasticity declines following the closure of the CP but, importantly, does not cease [reviewed in (Hensch and Quinlan, 2018)]. Thus, plasticity remains post-CP but, in the case of amblyopia, is slower and less pronounced. Whilst amblyopia is not directly relevant to Drosophila, the clear demonstration of being able to prevent a disorder by intervening during a CP is. Indeed, this further suggests that the CP identified in Drosophila, activity-manipulation of which prevents seizure in otherwise seizure-mutant backgrounds (Giachello and Baines, 2015), is likely to be highly similar to its mammalian counterparts.

Conclusion

Our understanding of the requirement for a CP in the development of a neural circuit remains incomplete. That such periods are evident across phyla and across sensory and motor circuits is indicative of a universal and critical role(s). Key to establish will be what “physiological parameters” are influenced by activity during a CP. An attractive hypothesis, that we support, posits that homeostatic set-points, which govern neuron and network excitability, are set during a CP (Figure 5). This would, if validated experimentally, provide a plausible mechanistic understanding for why aberrant activity during a CP induces permanent change to neuron and/or network function. Moreover, it would additionally explain why subsequent plasticity mechanisms are generally unable to “correct” the mis-adjustments induced during a CP (because an incorrectly specified set-point would constitute the “gravitational pull”). The identification of CPs in simpler organisms, such as Drosophila, offer the prospect of being able to experimentally address these, and other, questions with a greatly increased level of resolution.

FIGURE 5
www.frontiersin.org

FIGURE 5. Activity-manipulation during the Drosophila locomotor CP alters network stability. Activity-manipulation during the locomotor CP is sufficient to permanently induce a seizure-like phenotype in later larvae. This is indicative of significant and permanent change to neuron/network stability. (A) Normal activity patterns during a CP, in a wildtype embryo, may allow the setting of physiologically appropriate homeostatic setpoint(s) that ensure robustness (i.e., an ability to compensate for strong stimuli) of the locomotor network. (B) Altered activity during the CP, by contrast, sets inappropriate setpoints(s) pushing the mature network closer to being less stable, particularly when subjected to a strong stimulus (i.e., an electroshock). (C) Rescue of activity during the CP, in backgrounds where activity is already perturbed, is sufficient to prevent the changes that would normally occur (Giachello and Baines, 2015) consistent with activity-rescue during this period forcing physiologically appropriate homeostatic setpoint(s) to be encoded.

The translational potential for increased understanding of CPs is significant. A paradox currently exists when considering manipulating a CP for clinical benefit: the onset of disease symptoms almost certainly occurs after the prime opportunity to intervene (i.e., the CP closing) has passed. In the absence of suitable biomarkers, reopening a CP may be required for clinical intervention. A few intriguing studies show that exposure to the AED, valproate, can reopen a CP (Silingardi et al., 2010; Gervain et al., 2013) most likely though its activity as a histone-deactylase inhibitor (Baroncelli et al., 2016). Similarly, reintroduction of immature astrocytes and/or degradation of PNNs have potential to extend or reopen CPs (Carulli and Verhaagen, 2021; Ribot et al., 2021). Thus, opportunities to reopen CPs exist, at least in the laboratory, which hopefully may translate to the clinic. It is to be hoped that activity-manipulation, during a reopened CP, may obviate the consequences of any initial activity disturbance that resulted in altered network activity.

Author contributions

RB and ML wrote the original draft. IH and BC edited the text, IH, BC, and SD, contributed figures and IH, BC, SD, and JP undertook experimental work on which this review is partly based.

Funding

This work was supported by a Joint Wellcome Trust Investigator Award to RB and ML (217099/Z/19/Z). Work on this project benefited from the Manchester Fly Facility, established through funds from the University and the Wellcome Trust (087742/Z/08/Z).

Acknowledgments

We thank Anna Munro for help with drawing of figures.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Ackerman S. D., Perez-Catalan N. A., Freeman M. R., Doe C. Q. (2021). Astrocytes close a motor circuit critical period. Nature 592, 414–420. doi:10.1038/s41586-021-03441-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Asiminas A., Jackson A. D., Louros S. R., Till S. M., Spano T., Dando O., et al. (2019). Sustained correction of associative learning deficits after brief, early treatment in a rat model of Fragile X Syndrome. Sci. Transl. Med. 11, eaao0498. doi:10.1126/scitranslmed.aao0498

PubMed Abstract | CrossRef Full Text | Google Scholar

Avitan L., Pujic Z., Molter J., Van De Poll M., Sun B., Teng H., et al. (2017). Spontaneous activity in the zebrafish tectum reorganizes over development and is influenced by visual experience. Curr. Biol. 27, 2407–2419. doi:10.1016/j.cub.2017.06.056

PubMed Abstract | CrossRef Full Text | Google Scholar

Baines R. A., Bate M. (1998). Electrophysiological development of central neurons in the Drosophila embryo. J. Neurosci. 18, 4673–4683. doi:10.1523/JNEUROSCI.18-12-04673.1998

PubMed Abstract | CrossRef Full Text | Google Scholar

Baroncelli L., Scali M., Sansevero G., Olimpico F., Manno I., Costa M., et al. (2016). Experience affects Critical Period plasticity in the visual cortex through an epigenetic regulation of histone post-translational modifications. J. Neurosci. 36, 3430–3440. doi:10.1523/JNEUROSCI.1787-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Blumenfeld H., Klein J. P., Schridde U., Vestal M., Rice T., Khera D. S., et al. (2008). Early treatment suppresses the development of spike-wave epilepsy in a rat model. Epilepsia 49, 400–409. doi:10.1111/j.1528-1167.2007.01458.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Calabrese V., Cornelius C., Rizzarelli E., Owen J. B., Dinkova-Kostova A. T., Butterfield D. A. (2009). Nitric oxide in cell survival: A janus molecule. Antioxid. Redox Signal. 11, 2717–2739. doi:10.1089/ars.2009.2721

PubMed Abstract | CrossRef Full Text | Google Scholar

Carreira-Rosario A., York R. A., Choi M., Doe C. Q., Clandinin T. R. (2021). Mechanosensory input during circuit formation shapes Drosophila motor behavior through patterned spontaneous network activity. Curr. Biol. 31, 5341–5349. doi:10.1016/j.cub.2021.08.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Carulli D., Verhaagen J. (2021). An extracellular perspective on CNS maturation: Perineuronal nets and the control of plasticity. Int. J. Mol. Sci. 22, 2434. doi:10.3390/ijms22052434

PubMed Abstract | CrossRef Full Text | Google Scholar

Crisp S., Evers J. F., Fiala A., Bate M. (2008). The development of motor coordination in Drosophila embryos. Development 135, 3707–3717. doi:10.1242/dev.026773

PubMed Abstract | CrossRef Full Text | Google Scholar

Crisp S. J., Evers J. F., Bate M. (2011). Endogenous patterns of activity are required for the maturation of a motor network. J. Neurosci. 31, 10445–10450. doi:10.1523/JNEUROSCI.0346-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Cunliffe V. T., Baines R. A., Giachello C. N., Lin W. H., Morgan A., Reuber M., et al. (2015). Epilepsy research methods update: Understanding the causes of epileptic seizures and identifying new treatments using non-mammalian model organisms. Seizure 24, 44–51. doi:10.1016/j.seizure.2014.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Fagiolini M., Fritschy J. M., Low K., Mohler H., Rudolph U., Hensch T. K. (2004). Specific GABAA circuits for visual cortical plasticity. Science 303, 1681–1683. doi:10.1126/science.1091032

PubMed Abstract | CrossRef Full Text | Google Scholar

Fagiolini M., Hensch T. K. (2000). Inhibitory threshold for critical-period activation in primary visual cortex. Nature 404, 183–186. doi:10.1038/35004582

PubMed Abstract | CrossRef Full Text | Google Scholar

Fushiki A., Kohsaka H., Nose A. (2013). Role of sensory experience in functional development of Drosophila motor circuits. PLoS One 8, e62199. doi:10.1371/journal.pone.0062199

PubMed Abstract | CrossRef Full Text | Google Scholar

Fushiki A., Zwart M. F., Kohsaka H., Fetter R. D., Cardona A., Nose A. (2016). A circuit mechanism for the propagation of waves of muscle contraction in Drosophila. Elife 5, e13253. doi:10.7554/eLife.13253

PubMed Abstract | CrossRef Full Text | Google Scholar

Gervain J., Vines B. W., Chen L. M., Seo R. J., Hensch T. K., Werker J. F., et al. (2013). Valproate reopens critical-period learning of absolute pitch. Front. Syst. Neurosci. 7, 102. doi:10.3389/fnsys.2013.00102

PubMed Abstract | CrossRef Full Text | Google Scholar

Giachello C. N., Baines R. A. (2015). Inappropriate neural activity during a sensitive period in embryogenesis results in persistent seizure-like behavior. Curr. Biol. 25, 2964–2968. doi:10.1016/j.cub.2015.09.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Giachello C. N., Baines R. A. (2017). Regulation of motoneuron excitability and the setting of homeostatic limits. Curr. Opin. Neurobiol. 43, 1–6. doi:10.1016/j.conb.2016.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Giachello C. N. G., Fan Y. N., Landgraf M., Baines R. A. (2021). Nitric oxide mediates activity-dependent change to synaptic excitation during a critical period in Drosophila. Sci. Rep. 11, 20286. doi:10.1038/s41598-021-99868-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Giachello C. N. G., Hunter I., Pettini T., Coulson B., Knufer A., Cachero S., et al. (2022). Electrophysiological validation of monosynaptic connectivity between premotor interneurons and the aCC motoneuron in the Drosophila larval CNS. J. Neurosci. 42, 6724–6738. doi:10.1523/JNEUROSCI.2463-21.2022

PubMed Abstract | CrossRef Full Text | Google Scholar

Gibel-Russo R., Benacom D., Di Nardo A. A. (2022). Non-cell-autonomous factors implicated in parvalbumin interneuron maturation and critical periods. Front. Neural Circuits 16, 875873. doi:10.3389/fncir.2022.875873

PubMed Abstract | CrossRef Full Text | Google Scholar

Golovin R. M., Broadie K. (2016). Developmental experience-dependent plasticity in the first synapse of the Drosophila olfactory circuit. J. Neurophysiol. 116, 2730–2738. doi:10.1152/jn.00616.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Golovin R. M., Vest J., Vita D. J., Broadie K. (2019). Activity-dependent remodeling of Drosophila olfactory sensory neuron brain innervation during an early-life Critical Period. J. Neurosci. 39, 2995–3012. doi:10.1523/JNEUROSCI.2223-18.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Gomez-Diaz C., Martin F., Garcia-Fernandez J. M., Alcorta E. (2018). The two main olfactory receptor families in Drosophila, ORs and IRs: A comparative approach. Front. Cell. Neurosci. 12, 253. doi:10.3389/fncel.2018.00253

PubMed Abstract | CrossRef Full Text | Google Scholar

Hensch T. K. (2005). Critical period mechanisms in developing visual cortex. Curr. Top. Dev. Biol. 69, 215–237. doi:10.1016/S0070-2153(05)69008-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Hensch T. K., Fagiolini M., Mataga N., Stryker M. P., Baekkeskov S., Kash S. F. (1998). Local GABA circuit control of experience-dependent plasticity in developing visual cortex. Science 282, 1504–1508. doi:10.1126/science.282.5393.1504

PubMed Abstract | CrossRef Full Text | Google Scholar

Hensch T. K., Quinlan E. M. (2018). Perspective Critical periods in amblyopia-Corrigendum. Vis. Neurosci. 35, E024. doi:10.1017/S0952523818000020

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoang B., Chiba A. (2001). Single-cell analysis of Drosophila larval neuromuscular synapses. Dev. Biol. 229, 55–70. doi:10.1006/dbio.2000.9983

PubMed Abstract | CrossRef Full Text | Google Scholar

Horne M., Krebushevski K., Wells A., Tunio N., Jarvis C., Francisco G., et al. (2017). Julius seizure, a Drosophila mutant, defines a neuronal population underlying epileptogenesis. Genetics 205, 1261–1269. doi:10.1534/genetics.116.199083

PubMed Abstract | CrossRef Full Text | Google Scholar

Hrncic D., Rasic-Markovic A., Krstic D., Macut D., Susic V., Djuric D., et al. (2012). Inhibition of the neuronal nitric oxide synthase potentiates homocysteine thiolactone-induced seizures in adult rats. Med. Chem. 8, 59–64. doi:10.2174/157340612799278577

PubMed Abstract | CrossRef Full Text | Google Scholar

Hubel D. H., Wiesel T. N., Levay S. (1977). Plasticity of ocular dominance columns in monkey striate cortex. Philos. Trans. R. Soc. Lond. B Biol. Sci. 278, 377–409. doi:10.1098/rstb.1977.0050

PubMed Abstract | CrossRef Full Text | Google Scholar

Hubel D. H., Wiesel T. N. (1970). The period of susceptibility to the physiological effects of unilateral eye closure in kittens. J. Physiol. 206, 419–436. doi:10.1113/jphysiol.1970.sp009022

PubMed Abstract | CrossRef Full Text | Google Scholar

Ismail F. Y., Fatemi A., Johnston M. V. (2017). Cerebral plasticity: Windows of opportunity in the developing brain. Eur. J. Paediatr. Neurol. 21, 23–48. doi:10.1016/j.ejpn.2016.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin X. G., Chen S. R., Cao X. H., Li L., Pan H. L. (2011). Nitric oxide inhibits nociceptive transmission by differentially regulating glutamate and glycine release to spinal dorsal horn neurons. J. Biol. Chem. 286, 33190–33202. doi:10.1074/jbc.M111.270967

PubMed Abstract | CrossRef Full Text | Google Scholar

Kiral F. R., Dutta S. B., Linneweber G. A., Hilgert S., Poppa C., Duch C., et al. (2021). Brain connectivity inversely scales with developmental temperature in Drosophila. Cell Rep. 37, 110145. doi:10.1016/j.celrep.2021.110145

PubMed Abstract | CrossRef Full Text | Google Scholar

Kohsaka H., Zwart M. F., Fushiki A., Fetter R. D., Truman J. W., Cardona A., et al. (2019). Regulation of forward and backward locomotion through intersegmental feedback circuits in Drosophila larvae. Nat. Commun. 10, 2654. doi:10.1038/s41467-019-10695-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuppers B., Sanchez-Soriano N., Letzkus J., Technau G. M., Prokop A. (2003). In developing Drosophila neurones the production of gamma-amino butyric acid is tightly regulated downstream of glutamate decarboxylase translation and can be influenced by calcium. J. Neurochem. 84, 939–951. doi:10.1046/j.1471-4159.2003.01554.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Landgraf M., Bossing T., Technau G. M., Bate M. (1997). The origin, location, and projections of the embryonic abdominal motorneurons of Drosophila. J. Neurosci. 17, 9642–9655. doi:10.1523/JNEUROSCI.17-24-09642.1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Landgraf M., Jeffrey V., Fujioka M., Jaynes J. B., Bate M. (2003). Embryonic origins of a motor system: Motor dendrites form a myotopic map in Drosophila. PLoS Biol. 1, E41. doi:10.1371/journal.pbio.0000041

PubMed Abstract | CrossRef Full Text | Google Scholar

Larsson M. C., Domingos A. I., Jones W. D., Chiappe M. E., Amrein H., Vosshall L. B. (2004). Or83b encodes a broadly expressed odorant receptor essential for Drosophila olfaction. Neuron 43, 703–714. doi:10.1016/j.neuron.2004.08.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee E., Lee J., Kim E. (2017). Excitation/inhibition imbalance in animal models of autism spectrum disorders. Biol. Psychiatry 81, 838–847. doi:10.1016/j.biopsych.2016.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Luan H., Peabody N. C., Vinson C. R., White B. H. (2006). Refined spatial manipulation of neuronal function by combinatorial restriction of transgene expression. Neuron 52, 425–436. doi:10.1016/j.neuron.2006.08.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Marguet S. L., Le-Schulte V. T., Merseburg A., Neu A., Eichler R., Jakovcevski I., et al. (2015). Treatment during a vulnerable developmental period rescues a genetic epilepsy. Nat. Med. 21, 1436–1444. doi:10.1038/nm.3987

PubMed Abstract | CrossRef Full Text | Google Scholar

Marin O. (2016). Developmental timing and critical windows for the treatment of psychiatric disorders. Nat. Med. 22, 1229–1238. doi:10.1038/nm.4225

PubMed Abstract | CrossRef Full Text | Google Scholar

Marley R., Baines R. A. (2011). Increased persistent Na+ current contributes to seizure in the slamdance bang-sensitive Drosophila mutant. J. Neurophysiol. 106, 18–29. doi:10.1152/jn.00808.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Marley R., Giachello C. N. G., Scrutton N. S., Baines R. A., Jones A. R. (2014). Cryptochrome-dependent magnetic field effect on seizure response in Drosophila larvae. Sci. Rep. 4, 5799. doi:10.1038/srep05799

PubMed Abstract | CrossRef Full Text | Google Scholar

Meredith R. M., Dawitz J., Kramvis I. (2012). Sensitive time-windows for susceptibility in neurodevelopmental disorders. Trends Neurosci. 35, 335–344. doi:10.1016/j.tins.2012.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Morishita H., Hensch T. K. (2008). Critical period revisited: Impact on vision. Curr. Opin. Neurobiol. 18, 101–107. doi:10.1016/j.conb.2008.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Mukherjee A., Carvalho F., Eliez S., Caroni P. (2019). Long-lasting rescue of network and cognitive dysfunction in a genetic schizophrenia model. Cell 178, 1387–1402. doi:10.1016/j.cell.2019.07.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Noebels J. (2015). Pathway-driven discovery of epilepsy genes. Nat. Neurosci. 18, 344–350. doi:10.1038/nn.3933

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohyama T., Schneider-Mizell C. M., Fetter R. D., Aleman J. V., Franconville R., Rivera-Alba M., et al. (2015). A multilevel multimodal circuit enhances action selection in Drosophila. Nature 520, 633–639. doi:10.1038/nature14297

PubMed Abstract | CrossRef Full Text | Google Scholar

Ribot J., Breton R., Calvo C. F., Moulard J., Ezan P., Zapata J., et al. (2021). Astrocytes close the mouse critical period for visual plasticity. Science 373, 77–81. doi:10.1126/science.abf5273

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwarzkopf D. S., Vorobyov V., Mitchell D. E., Sengpiel F. (2007). Brief daily binocular vision prevents monocular deprivation effects in visual cortex. Eur. J. Neurosci. 25, 270–280. doi:10.1111/j.1460-9568.2006.05273.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Silingardi D., Scali M., Belluomini G., Pizzorusso T. (2010). Epigenetic treatments of adult rats promote recovery from visual acuity deficits induced by long-term monocular deprivation. Eur. J. Neurosci. 31, 2185–2192. doi:10.1111/j.1460-9568.2010.07261.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sink H., Whitington P. M. (1991). Location and connectivity of abdominal motoneurons in the embryo and larva of Drosophila melanogaster. J. Neurobiol. 22, 298–311. doi:10.1002/neu.480220309

PubMed Abstract | CrossRef Full Text | Google Scholar

Stork T., Sheehan A., Tasdemir-Yilmaz O. E., Freeman M. R. (2014). Neuron-glia interactions through the Heartless FGF receptor signaling pathway mediate morphogenesis of Drosophila astrocytes. Neuron 83, 388–403. doi:10.1016/j.neuron.2014.06.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Suster M. L., Bate M. (2002). Embryonic assembly of a central pattern generator without sensory input. Nature 416, 174–178. doi:10.1038/416174a

PubMed Abstract | CrossRef Full Text | Google Scholar

Takesian A. E., Hensch T. K. (2013). Balancing plasticity/stability across brain development. Prog. Brain Res. 207, 3–34. doi:10.1016/B978-0-444-63327-9.00001-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Tripodi M., Evers J. F., Mauss A., Bate M., Landgraf M. (2008). Structural homeostasis: Compensatory adjustments of dendritic arbor geometry in response to variations of synaptic input. PLoS Biol. 6, e260. doi:10.1371/journal.pbio.0060260

PubMed Abstract | CrossRef Full Text | Google Scholar

Warp E., Agarwal G., Wyart C., Friedmann D., Oldfield C. S., Conner A., et al. (2012). Emergence of patterned activity in the developing zebrafish spinal cord. Curr. Biol. 22, 93–102. doi:10.1016/j.cub.2011.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong-Riley M. T. T. (2021). The critical period: Neurochemical and synaptic mechanisms shared by the visual cortex and the brain stem respiratory system. Proc. Biol. Sci. 288, 20211025. doi:10.1098/rspb.2021.1025

PubMed Abstract | CrossRef Full Text | Google Scholar

Zarin A. A., Mark B., Cardona A., Litwin-Kumar A., Doe C. Q. (2019). A multilayer circuit architecture for the generation of distinct locomotor behaviors in Drosophila. Elife 8, e51781. doi:10.7554/eLife.51781

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeng X., Komanome Y., Kawasaki T., Inada K., Jonaitis J., Pulver S. R., et al. (2021). An electrically coupled pioneer circuit enables motor development via proprioceptive feedback in Drosophila embryos. Curr. Biol. 31, 5327–5340. doi:10.1016/j.cub.2021.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang H., Mu L., Wang D., Xia D., Salmon A., Liu Q., et al. (2018). Uncovering a critical period of synaptic imbalance during postnatal development of the rat visual cortex: Role of brain-derived neurotrophic factor. J. Physiol. 596, 4511–4536. doi:10.1113/JP275814

PubMed Abstract | CrossRef Full Text | Google Scholar

Zwart M. F., Pulver S. R., Truman J. W., Fushiki A., Fetter R. D., Cardona A., et al. (2016). Selective inhibition mediates the sequential recruitment of motor pools. Neuron 91, 615–628. doi:10.1016/j.neuron.2016.06.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: critical period, development, Drosophila, neuron, network, homeostasis

Citation: Coulson B, Hunter I, Doran S, Parkin J, Landgraf M and Baines RA (2022) Critical periods in Drosophila neural network development: Importance to network tuning and therapeutic potential. Front. Physiol. 13:1073307. doi: 10.3389/fphys.2022.1073307

Received: 18 October 2022; Accepted: 23 November 2022;
Published: 02 December 2022.

Edited by:

Jean-René Martin, UMR9197 Institut des Neurosciences Paris Saclay (Neuro-PSI), France

Reviewed by:

Tihana Jovanic, UMR9197 Institut des Neurosciences Paris Saclay (Neuro-PSI), France
Milena Damulewicz, Jagiellonian University, Kraków, Poland

Copyright © 2022 Coulson, Hunter, Doran, Parkin, Landgraf and Baines. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Richard A. Baines, cmljaGFyZC5iYWluZXNAbWFuY2hlc3Rlci5hYy51aw==

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.