Reduced Gamma Oscillations in a Mouse Model of Intellectual Disability: A Role for Impaired Repetitive Neurotransmission?

Andrew D. Powell; Pierre-Philippe Saintot; Kalbinder K. Gill; Ashtami Bharathan; S. Caroline Buck; Gareth Morris; Premysl Jiruska; John G. R. Jefferys

doi:10.1371/journal.pone.0095871

Abstract

Intellectual disability affects 2–3% of the population; mutations of the X-chromosome are a major cause of moderate to severe cases. The link between the molecular consequences of the mutation and impaired cognitive function remains unclear. Loss of function mutations of oligophrenin-1 (OPHN1) disrupt Rho-GTPase signalling. Here we demonstrate abnormal neurotransmission at CA3 synapses in hippocampal slices from Ophn1^-/y mice, resulting from a substantial decrease in the readily releasable pool of vesicles. As a result, synaptic transmission fails at high frequencies required for oscillations associated with cognitive functions. Both spontaneous and KA-induced gamma oscillations were reduced in Ophn1^-/y hippocampal slices. Spontaneous oscillations were rapidly rescued by inhibition of the downstream signalling pathway of oligophrenin-1. These findings suggest that the intellectual disability due to mutations of oligophrenin-1 results from a synaptopathy and consequent network malfunction, providing a plausible mechanism for the learning disabilities. Furthermore, they raise the prospect of drug treatments for affected individuals.

Citation: Powell AD, Saintot P-P, Gill KK, Bharathan A, Buck SC, Morris G, et al. (2014) Reduced Gamma Oscillations in a Mouse Model of Intellectual Disability: A Role for Impaired Repetitive Neurotransmission? PLoS ONE 9(5): e95871. https://doi.org/10.1371/journal.pone.0095871

Editor: Thierry Amédée, Centre national de la recherche scientifique, University of Bordeaux, France

Received: October 15, 2013; Accepted: April 1, 2014; Published: May 6, 2014

Copyright: © 2014 Powell et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: This work was supported by a Wellcome Trust grant to JGRJ (074771/Z/04/Z), and University of Birmingham Studentships to PPS, KKG, AB, SCB, and GM. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The author currently employed by Neusentis-Pfizer Ltd (Dr. P-P Saintot) was not in their employ during the completion of this body of work. As such, Neusentis-Pfizer Ltd has had no input in the generation, analysis and presentation of the data, or intellectual property contained in this manuscript. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

Introduction

The X-linked mental retardation (XLMR) disorders are a group of single gene mutations which lead to moderate to severe, non-specific, intellectual disability [1]. An ongoing major challenge is to understand the cellular mechanisms responsible for the cognitive impairment. Recent work has challenged the dogma that dendritic spine abnormalities are responsible for the underlying pathophysiology. It has led to the hypothesis that intellectual disabilities may be described as synaptopathies because several have been associated with alterations in synaptic function [2]–[4]. How these alterations in synaptic function affect brain function in ways that explain cognitive impairment remains unknown.

Synchronisation of neuronal activity in the gamma (30–80 Hz) frequency band is thought to underlie the encoding and retrieval of episodic memory, attention and the formation of neuronal assemblies that facilitate associative learning [5], [6]. Gamma oscillations have also been proposed to provide the spike timing that facilitates the synaptic summation necessary for long-term potentiation [7], [8]. Gamma oscillations are frequently studied in the hippocampus, where they have been suggested to function in exploratory behaviour and navigation [9]–[11] and gamma oscillation strength is correlated with behavioural performance [12]. Altered neuronal synchrony in the gamma band has been reported for a variety of neuropsychiatric disorders [5] and neurodevelopmental disorders, including autism, Williams syndrome [13] and the Ts65Dn Down syndrome model of intellectual disability [14].

Gamma oscillations can be generated in vitro in the CA3 region of the hippocampus by tonic activation of kainate (KA) receptors [15] or can occur spontaneously [16], [17]. Gamma and other cortical oscillations associated with cognition depend on the repetitive activity of inhibitory neurons and intermittent activity in excitatory neurons, and so the ability of inhibitory synapses to operate at these frequencies is critical [6], [18].

Loss of function mutations in the OPHN1 gene (Ophn1 in mice) result in a moderate to severe learning disability in humans [19] and learning impairments in mice [20]. OPHN1 encodes oligophrenin-1, a protein with a Rho-GAP domain which negatively regulates RhoA, Rac1 and Cdc42 [19], [21]. In addition to the regulation of Rho-family GTPases, oligophrenin-1 regulates the size of the readily releasable pool (RRP) of vesicles in inhibitory synapses [4], possibly through regulation of synaptic vesicle endocytosis [22], [23]. The altered vesicle dynamics prevents synapses from functioning at frequencies within the gamma range [4].

In the present study, we investigate the role of oligophrenin-1 in neuronal network activity, particularly spontaneous and KA-induced gamma oscillations using the Ophn1 mouse model of intellectual disability. We demonstrate that hippocampal synapses are unable to function at frequencies necessary for higher cognitive function, due to a substantial decrease in the RRP of synaptic vesicles. We propose that these synaptic changes underlie the deficits in gamma oscillations reported here. The alterations in spontaneous gamma oscillations were abolished by inhibition of the RhoA signalling pathway. The rescue of emergent neuronal network activity by small molecule pharmacological inhibition of the downstream signalling pathway of oligophrenin-1 raises the possibility of a pharmacotherapy to treat affected individuals.

Methods

Ethics statement

The Ophn1 colony was generated using a C57-BL6 background as described previously [20]. Ophn1^-/y mice and wild type (Ophn1^+/y) littermates were generated by breeding heterozygote females (Ophn1^+/−) with Ophn1^+/y males; resulting in ∼50∶50 Ophn1^+/y:Ophn1^−/y. Breeding and experiments were performed under regulation by the Animals (Scientific Procedures) Act (1986) of the UK, and approved by the Biomedical Ethics Review sub-committee (BERSC) at the University of Birmingham. All experiments and analyses were performed blind to genotype.

Hippocampal slice preparation

Horizontal hippocampal slices (400 µm for extracellular recordings, 250 µm for patch-clamp recordings) were prepared from Ophn1^+/y and Ophn1^−/y age-matched mice (3–9 weeks old) anaesthetised by intraperitoneal injection of medetomidine (1 mg/kg) and ketamine (76 /kg). Animals were transcardially perfused with ∼10 ml of ice-cold cutting solution comprising (mM): 189 sucrose, 26 NaHCO₃, 1.2 NaH₂PO₄, 2.5 KCl, 0.1 CaCl₂, 5 MgCl₂ and 10 glucose (flow rate ∼2.7 ml/min). Slices were cut using an Integraslice (Campden Instruments, Loughborough, UK) and stored at room temperature in an interface chamber containing 95%O₂–5%CO₂ oxygenated artificial cerebrospinal fluid (aCSF)(in mM: 135 NaCl, 16 NaHCO₃, 1.25 NaH₂PO₄, 3 KCl, 2 CaCl₂, 1 MgCl₂ and 10 glucose, pH 7.4).

Extracellular recordings

After sectioning, slices were placed in a Haas-type interface recording chamber and allowed to equilibrate for an hour at the interface between aCSF and moist 95%O₂–5%CO₂ (300 cm³/min). Slices were constantly perfused with aCSF at a flow rate of ∼2 ml/min; the temperature was maintained at 32°C. Slices were visualised with a stereo-microscope (Leica MZ8, Micro Instruments, Long Hanborough, Oxon, UK) mounted above the interface chamber. Extracellular microelectrodes were pulled from thick-walled borosilicate glass capillaries (1.2 mm O.D.×0.69 mm I.D.; Harvard apparatus, Edenbridge, Kent, UK) using a P-97 puller (Sutter Instrument Co, Novato, CA). Electrodes were filled with aCSF and had a typical resistance of 2–4 MΩ. Extracellular potentials were recorded using an Axoclamp 2B amplifier (Molecular Devices, Sunnyvale, CA), low pass Bessel filtered at 1 kHz (NL-125, Digitimer Ltd, Welwyn Garden City, UK) and digitized at 10 kHz by a Power 1401 (CED Ltd, Cambridge, UK). Additionally, a Humbug 50/60 Hz (Digitimer) was used to remove noise locked to the electrical mains supply. Stimulation and data acquisition were controlled using Spike 2 software (v6.12; CED). Data were stored for subsequent off-line analysis using Spike 2.

Gamma oscillations

After slices were placed in the interface recording chamber, an extracellular recording electrode was placed in the pyramidal cell layer of CA3c. Spontaneous activity was recorded for 5 minutes before the addition of 50 nM KA. The strength of the gamma oscillation in the frequency range 20–80 Hz was measured by fast Fourier transforms of 60 s epochs of data (Hanning window, FFT size 4096) and quantified as summated power. The dominant frequency in this range was used to quantify the peak frequency. Spontaneous gamma oscillations were observed in a subset of slices (Ophn1^+/y 8 of 21 slices [∼38%]; Ophn1^−/y 10 of 30 slices [∼33%]), characterised by a peak power in the gamma range (average power in 25–35 Hz is greater than average power in 10–20 Hz) [16].

Waveform averages were calculated from 30–50 gamma cycles, phase zeroed at the peak of the gamma cycle recorded in s. pyramidale. To avoid potential bias between genotypes, the following method was used to select the gamma cycles for averaging. A 2 s epoch of data was band pass filtered (20–80 Hz, 2^nd order Butterworth digital filter) and events between 30 and 70% of the maximum filtered signal were selected for averaging.

The effect of Rho kinase (ROCK) inhibitors on gamma oscillations were evaluated by addition of Y–27632 (trans-4-[(1R)-1-Aminoethyl]-N-4-pyridinylcyclohexanecarboxamide dihydrochloride; 10 µM) to the superfusate for 20 minutes before the addition of 50 nM KA. The effect of Y–27632 on spontaneous gamma oscillations was tested immediately before addition of KA and on KA–induced gamma oscillations after 1 hour of KA.

Evoked field potentials

The mossy fibre tract was stimulated using a nichrome concentric stimulating electrode (80% nickel/20% chromium, tip diameter 50 µm; Advent research materials; Oxford, UK) placed in the hilus. Postsynaptic potentials (PSPs) were recorded from s. radiatum in CA3c. Stimulus-response curves were generated to determine the half maximal stimulus intensity values (20.8±0.6 V, range 15–27 V, n = 31). This intensity was used for subsequent high frequency stimulation recordings. High frequency stimulation was evoked by a train of 10 stimuli at 33 Hz and PSP slopes were measured and normalised to the first response.

Whole-cell patch-clamp recordings

Whole-cell patch-clamp recordings were made from the somata of CA3c pyramidal neurons using infrared DIC (Olympus BX-51 upright microscope, fluorplan 40x, 0.8 NA water immersion lens; Micro Instruments, Long Hanborough, UK). Patch electrodes were pulled from borosilicate glass (O.D. 1.2 mm, I.D. 0.69 mm) using a P-97 puller. For IPSC studies, intracellular solution comprised (mM): 135 CsCl₂, 2 MgCl₂, 10 HEPES, 5 QX-314, 1 EGTA, 2 Mg-ATP and 0.3 Na-GTP; pH 7.3 with KOH (osmolarity ∼285 mOsm); this shifted the reversal potential to 0 mV, resulting in inward IPSCs at −70 mV. Synaptic currents using this electrode solution were confirmed as IPSCs by their abolition by 10 µM bicuculline (not shown). For EPSC studies, intracellular solution comprised (mM): 140 CsCH₃SO₄, 8 NaCl, 10 HEPES, 5 QX-314, 2 Mg-ATP and 0.3 Na-GTP; pH 7.3 with KOH (osmolarity ∼285 mOsm). EPSCs were recorded at −75 mV to avoid contamination by IPSCs (reversal potential of IPSCs) and were confirmed as EPSCs by their abolition by 20 µM NBQX and 25 µM d-APV (not shown). Patch electrodes typically had resistances of 4–7 MΩ. Membrane potentials and currents were recorded using an NPI SEC-10L amplifier (Scientifica, Harpenden, UK), low pass Bessel filtered at 1 kHz (NL-125, Digitimer Ltd, Welwyn Garden City, UK) and digitized at 10 kHz by a Power 1401 (CED Ltd, Cambridge, UK). Stimulation and data acquisition were controlled using Signal software (v3.10; CED). Evoked currents were elicited by a concentric stimulating electrode placed in the hilar region.

The readily releasable pool (mature and fusion-competent) was quantified by cumulative evoked IPSC amplitude analysis during repetitive stimulation [24]. The intracellular solution was supplemented with 100 µM Alexa 488 to enable visualisation of dendrites. A stimulating electrode (2^nd patch pipette filled with aCSF) was placed near the dendritic tree ∼50 µm from the soma. Stimulus intensity was varied to achieve minimal stimulation (activation of a single axon/synapse) as described in Powell et al (2012). The RRP size and probability of vesicle release from the RRP were calculated by applying repetitive stimuli (40 pulses at 20 Hz) and calculated as outlined in the main text.

Statistical analysis

Values are expressed as mean±s.e.m. Curve fitting and data analysis were performed in Origin 8 (Silverdale Scientific, Stoke Mandeville, UK). Unpaired t-tests (with Bonferonni correction for multiple comparisons) were used to evaluate differences between genotypes; a Shapiro-Wilk test was used to examine if the data followed a normal distribution. Repetitive stimulation experiments were analysed using ANOVA. Significance criterion was p<0.05.

Drugs

All chemicals were purchased from Abcam Biochemicals (Cambridge, UK).

Results

We have previously demonstrated that repetitive inhibitory neurotransmission onto dentate gyrus granule neurons is reduced due to a smaller RRP [4]. We first tested whether the central conclusions from dentate granule cells generalised to CA3 pyramidal neurons. IPSCs evoked by stimulating the mossy fibre inputs were significantly smaller in Ophn1^−/y neurons than Ophn1^+/y neurons (1573±173 pA, n = 15 and 2317±279 pA, n = 13, respectively; p = 0.02; Fig 1a, b); neither the slope (Ophn1^−/y 0.13±0.02 pA/V, Ophn1^+/y 0.15±0.03 pA/V, p = 0.64), nor the half maximal stimulus strength (Ophn1^−/y 10.6±1.4 V, Ophn1^+/y 8.2±1.0 V, p = 0.2) of the stimulus response curve were altered in Ophn1^−/y neurons. The frequency of spontaneous IPSCs was lower in Ophn1^−/y neurons than Ophn1^+/y neurons (8.8±0.8 Hz, n = 7 and 12.6±0.8 Hz, n = 7, respectively; p = 0.009; Fig 1c, e, f), consistent with the smaller evoked IPSCs. The amplitude of spontaneous IPSCs was unaffected in Ophn1^−/y neurons (Ophn1^−/y 32.5±2.7 pA, n = 7, Ophn1^+/y 38.3±5.4 pA, n = 7; p = 0.35; Fig 1d).

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Figure 1. Inhibitory transmission is reduced in CA3 synapses.

(a) Evoked IPSCs were smaller in Ophn1^−/y (grey trace) than Ophn1^+/y (black trace) neurons. Normalisation (right panel) of the Ophn1^−/y evoked IPSC (grey trace) revealed that the kinetics of the eIPSCs were unaltered by genotype. (b) Mean evoked IPSC amplitude for an 18 V stimulus applied to mossy fibre pathway. (c) Spontaneous IPSCs were less frequent in Ophn1^−/y (grey trace) than Ophn1^+/y (black trace) neurons. Cumulative frequency plots (e) showed that spontaneous events in Ophn1^−/y neurons shifted to longer inter-event intervals (IEI, grey line), which resulted in a lower frequency of spontaneous IPSCs (f). (d) The amplitude of spontaneous IPSCs was unaltered. (p:*<0.05, **<0.01). Ophn1^+/y - filled columns, Ophn1^−/y.

https://doi.org/10.1371/journal.pone.0095871.g001

Ophn1 null neurons display altered responses to repetitive stimuli

We examined the ability of synapses to follow high frequency stimulation [25] at frequencies associated with cognition (≥33 Hz) [6]. Using a submaximal stimulus (evoked ∼30% of maximum evoked IPSC), IPSCs built up with successive stimuli at 33 Hz, reaching a steady level within 10 stimuli in Ophn1^+/y neurons (144±14%, n = 14; Fig 2a, b). IPSC facilitation did not occur in Ophn1^−/y neurons (82±12%, n = 20; p = 0.003; Fig 2c). Facilitation was also weakened in Ophn1^−/y neurons for 50 and 100 Hz stimulation (Fig 2c). As oligophrenin-1 controls the size of the RRP [4], we reasoned that this may explain the altered response to repetitive stimuli in Ophn1^−/y CA3 neurons. Using high frequency minimal stimulation (40 pulses, 20 Hz) [4], [24], we examined the functional state of the RRP in CA3 neurons. The RRP was significantly smaller in Ophn1^−/y neurons than in Ophn1^+/y neurons (513.8±100.9 pA, and 1466.2±307.7, respectively, n = 7; p = 0.005; Fig 3b, c), corresponding to a smaller number of vesicles in the RRP (12±2 and 34±7, respectively; p = 0.005; Fig 3e). The reduction in RRP did not alter the mean amplitude of the first IPSC (Ophn1^−/y 97.8±19.9 pA and Ophn1^+/y 75.4±16.3 pA, p = 0.84; Fig 3c), which means that the probability of releasing single vesicles from the RRP (P_ves) was significantly greater in Ophn1^−/y neurons (Ophn1^−/y 0.26±0.06 and Ophn1^+/y 0.08±0.01, p<0.01; Fig 3d).

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Figure 2. Reduced facilitation in response to high frequency stimulation in Ophn1^−/y neurons.

(a) Representative traces illustrating IPSC summation in response to 10 stimuli delivered at 33 Hz. The responses to first stimuli were normalised. In contrast to Ophn1^+/y neurons, Ophn1^−/y IPSCs (grey trace) showed no summation. (b) IPSC amplitude plotted against stimulus number for 33 Hz trains in Ophn1^+/y (•, n = 20) and Ophn1^−/y neurons (○, n = 14). (c) Maximal IPSC amplitude (mean of the last 5 stimuli) plotted against stimulus frequency. (p: *<0.05, **<0.01, ***<0.001).

https://doi.org/10.1371/journal.pone.0095871.g002

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Figure 3. RRP is reduced in CA3 synapses.

Evoked IPSCs recorded during a 20Ophn1^+/y (a, black trace) and Ophn1^−/y neuron (grey trace). The traces are averages of 5 sweeps. (b) The corresponding cumulative evoked IPSC amplitude plot (Ophn1^+/y,•; Ophn1^−/y,○). Data between 1–2 s were fitted by linear regression and back-extrapolated to time 0 to estimate the RRP size (b, c). (c) The mean amplitude of IPSC₁ was unaltered in Ophn1^−/y neurons. (d) Mean P_ves was increased in Ophn1^−/y neurons, whilst the mean number of vesicles (N_syn) forming the RRP was reduced (e) (p: **<0.01, ***<0.005).

https://doi.org/10.1371/journal.pone.0095871.g003

Altered responses to repetitive stimuli are rescued by ROCK inhibition

Having demonstrated that inhibitory neurotransmission in the CA3 region is affected in a manner similar to that in the dentate gyrus [4], we examined whether these observations translated to excitatory transmission. Extracellular field potentials were recorded from CA3 s. radiatum and PSPs were evoked by activation of the mossy fibre pathway. PSPs were reduced in Ophn1^−/y slices (Fig 4a, B; p<0.01) and the frequency of spontaneous excitatory postsynaptic currents recorded from CA3 pyramidal neurons was lower in Ophn1^−/y neurons than Ophn1^+/y neurons (1.7±0.4 Hz, n = 9 and 6.9±1.5 Hz, n = 8, respectively; p = 0.003; Fig4 c–f).

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Figure 4. Ophn1^−/y slices show reduced postsynaptic potentials.

(a) Representative traces of postsynaptic potentials from Ophn1^+/y (black traces) and Ophn1^−/y (grey traces) slices. (b) Stimulus response curve of postsynaptic potentials recorded from the s. radiatum of CA3. PSP slopes were significantly smaller in Ophn1^−/y (n = 5) than in Ophn1^+/y slices (n = 12; p = 0.011, ANOVA). Representative traces of spontaneous EPSCs in Ophn1^+/y (c) and Ophn1^−/y (d). Representative individual spontaneous EPSCs are shown in the right panel. Cumulative frequency plots show that the interevent intervals (e), but not amplitude (f) of EPSCs are altered in Ophn1⁻^/y neurons compared to Ophn1^+/y neurons. (inset) Mean frequency and amplitude of spontaneous EPSCs.

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To test this deficit further, we examined how excitatory synapses responded to stimulation at frequencies associated with cognition. In response to a train of stimuli (10 at 33 Hz), synaptic potentials from Ophn1^+/y slices initially showed potentiation (pulse 2, 1.15±0.05) followed by depression (pulses 8–10, 0.78±0.05; Fig 5b). In contrast, Ophn1^−/y responses did not show potentiation (pulse 2, 0.94±0.03; p = 0.002) and the depression observed with later stimuli was more marked (pulses 8–10, 0.57±0.7; p = 0.03).

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Figure 5. Reduced synaptic responses to high frequency stimulation in Ophn1^−/y slices are rescued by ROCK inhibition.

(a) Representative traces illustrating PSP recordings from CA3b s. radiatum in response to 10 stimuli delivered at 33 Hz. The responses to first stimuli were normalised. In contrast to Ophn1^+/y neurons, Ophn1^−/y PSPs showed no potentiation, but were rescued by superfusion with Y-27632 (10 µM; 20 minutes). (b) PSP slope plotted against stimulus number for 33 Hz trains in Ophn1^+/y slices under control conditions (black symbols) and 20 minutes after Y-27632 application (dark grey symbols, n = 11). The reduced facilitation in Ophn1^−/y slices (open symbols) was rescued by 20 minute application of Y-27632 (light grey symbols, n = 11). (c) Potentiation of PSP evoked by the 2^nd stimuli was reduced in Ophn1^−/y slices and rescued by Y-27632 (right panel). (d) Synaptic depression (average PSP for pulses 8–10) was enhanced in Ophn1^−/y slices and rescued by Y-27632 (right panel).

https://doi.org/10.1371/journal.pone.0095871.g005

We have previously demonstrated that altered synaptic physiology observed in the absence of oligophrenin-1 can be reversed by acute inhibition of ROCK [4]. Inhibition of ROCK by Y-27632 (10 µM, 20 minutes) did not affect responses in Ophn1^+/y slices (pulse 2, 1.15±0.06; p = 0.91, pulses 8–10, 0.72±0.06; p = 0.76). In contrast, Ophn1^−/y responses were restored to similar levels as Ophn1^+/y slices (pulse 2, 1.15±0.05; p = 0.001, pulses 8–10, 0.75±0.07; p = 0.01).

Altered gamma oscillations in Ophn1^−/y slices

Synchronisation of neuronal activity in the gamma frequency range has been associated with cognitive function [6] and can be recorded in vitro either spontaneously [16] or generated by superfusion of KA [6].

Hippocampal slices were placed in the interface recording chamber and an extracellular recording electrode was placed in the pyramidal cell layer of CA3c. Spontaneous activity was recorded for 5 minutes before addition of KA (Fig 6a, 7a). The summated power of spontaneous gamma oscillations was smaller in Ophn1^−/y slices than in Ophn1^+/y slices (27.5±7.6 µV², n = 8 and 66.0±13.7 µV², n = 10, respectively, p = 0.03; Fig 6b). Calculation of the waveform average for spontaneous gamma oscillations in Ophn1^+/y and Ophn1^−/y slices revealed that, despite the reduction in overall gamma power, the shape of the gamma cycle was unaltered (Fig 6c, d).

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Figure 6. Spontaneous gamma oscillations are reduced in Ophn1^−/y slices.

(a) Representative traces from Ophn1^+/y (black traces) and Ophn1^−/y (grey traces) slices. The power of spontaneous gamma oscillations was reduced in Ophn1^−/y slices (b). Grey shading indicates s.e.m. Normalisation (d) of the Ophn1^−/y average gamma waveform (c) revealed that the kinetics of the spontaneous gamma oscillations were unaltered by genotype.

https://doi.org/10.1371/journal.pone.0095871.g006

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Figure 7. Smaller gamma oscillations in Ophn1^−/y slices.

(a) Application of 50 nM KA induced neuronal synchrony in the gamma frequency range; the power of these oscillations increased over time (e). (b) Spectrogram illustrating the development of the dominant frequency of gamma oscillations in Ophn1^+/y (left panel) and Ophn1^−/y (right panel) slices. (c) Power spectra for Ophn1^+/y (left panel) and Ophn1^−/y (right panel) slices at t = 60 minutes. (d) The peak frequency did not differ significantly between Ophn1^+/y (•) and Ophn1^−/y (○) slices. (e) Summated power of gamma oscillations was reduced in Ophn1^−/y slices.

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Superfusion of KA (50 nM) increased CA3 network activity throughout its application in both Ophn1^+/y and Ophn1^−/y slices (Fig 7a, b). The frequency of oscillations increased in Ophn1^−/y slices from 26.2±0.9 Hz for baseline activity to 34.3±1.1 Hz after 1 hr (n = 18; Fig 7d). A similar increase in frequency was observed in Ophn1^+/y slices (spontaneous 25.8±0.8 Hz, to 33.0±0.9 Hz after 1 hr, n = 28; Fig 7d). KA increased the strength of oscillation in Ophn1^+/y slices (20 minutes 1188.8±221.7 µV², 60 minutes 5906.2±936.9, n = 30; Fig 7c). In Ophn1^−/y slices, the increase in gamma power was significantly smaller throughout the superfusion of KA (20 minutes 882.8±230.5 µV², 60 minutes 2910.1±521.3, n = 21; Fig 7c). Analysis of the representative spectrograms for the development of KA-induced oscillations did not reveal major differences between Ophn1^+/y and Ophn1^−/y slices (Fig 7b), indeed it appeared to be a simple loss of power because the average gamma waveform was unaltered (Fig 8b).

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Figure 8. Gamma oscillation synchrony and coherence unchanged in Ophn1^−/y slices.

(a) Average gamma waveforms for Ophn1^+/y (black trace) and Ophn1^−/y (grey trace) slices revealed a reduced amplitude without alteration in gamma waveform kinetics (b; grey trace, normalised Ophn1^−/y). The reduced gamma power in Ophn1^−/y slices was not associated with an altered spatial distribution; (c) waveform averages phase-zeroed at the peak of the oscillation recorded from CA3c (black trace), CA3b (dotted trace), CA3a (short dashed trace) and CA1 (long dashed trace) in an Ophn1^+/y slice. (d) Cross-correlation (left panel) and phase lead (right panel) for CA regions with CA3c as the reference, data are expressed as mean±s.e.m. No differences were observed between Ophn1^+/y (filled symbols) and Ophn1^−/y (open symbols) slices.

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Given that Ophn1^−/y mice show alterations in dendritic morphology [4], [26], we reasoned that associated changes in connectivity may affect the spatial distribution of KA-induced gamma oscillations. To compare the spatial distribution and coherence of KA-induced gamma oscillations, field recordings were made along the pyramidal layer of the CA regions. A stationary electrode was placed in CA3c and a roving electrode was placed in CA3b, CA3a and CA1 in turn. The maximum cross-correlation and phase difference were determined from cross-correlograms using CA3c as the reference channel. As shown previously [16], KA-induced gamma oscillations were coherent throughout the CA regions, but the maximum cross-correlation fell with increasing electrode separation. No significant differences between Ophn1^+/y and Ophn1^−/y slices were observed for spatial profile or coherence (Fig 8c, d).

Sensitivity of reduced gamma oscillations to ROCK inhibitors

As the synaptic deficits in Ophn1^−/y dentate gyrus granule cells are reversed by acute inhibition of ROCK activity [4], we examined whether the deficit in network oscillations could also be reversed. Application of Y–27632 (10 µM) for 20 minutes prior to superfusion of KA did not reverse the impairment in Ophn1^−/y slices, but rather depressed KA-induced gamma oscillations in both Ophn1^+/y and Ophn1^−/y slices. After 60 minutes of KA, Y–27632 had reduced gamma oscillations in Ophn1^+/y slices to ∼50% of those in vehicle controls (2315.3±1056.6 µV², n = 7 and 6146.8±1317.9 µV², n = 10, respectively, p = 0.04; Fig 9a). Application of Y–27632 to Ophn1^−/y slices caused a similar reduction in KA-induced gamma oscillations from vehicle controls (1272.8±197.3 µV², n = 5 and 3638.0±823.2 µV², n = 11, respectively, p = 0.02; Fig 9a).

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Figure 9. KA-induced and spontaneous gamma oscillations are differentially affected by ROCK inhibition.

Y–27632 (10 µM) was applied for 20 minutes prior to application of KA (50 nM). (a) Oscillations recorded at 60 minutes post KA application were reduced by Y-27632 application. In contrast, spontaneous oscillations recorded prior to KA application were enhanced in Ophn1^−/y slices (b) (p: *<0.05, ***<0.005).

https://doi.org/10.1371/journal.pone.0095871.g009

Inhibition of ROCK by Y-27632 in Ophn1^−/y slices significantly increased spontaneous oscillations, in contrast to the reduction of KA-induced gamma oscillations (vehicle 71.5±19.2 µV², Y–27632 215.8±51.8 µV², p = 0.005; Fig 9b). In Ophn1^+/y slices, Y–27632 did not affect spontaneous oscillations (vehicle 137.5±20.9 µV², Y–27632 180.8±40.9 µV², p = 0.32; Fig 9b). The different effect of Y–27632 on spontaneous and KA-induced gamma oscillations was intriguing, but it may suggest that distinct network mechanisms generate spontaneous and KA-induced gamma oscillations [16].

Discussion

The pathophysiology of intellectual disability is poorly understood, but mutations in single genes that result in cognitive deficits provide unique opportunities to discover the underlying mechanisms. Increasing evidence links synaptic malfunction to cognitive deficits [2], [27]. Mutation of the OPHN1 gene in humans produces a non-specific X-linked mental retardation [19]. Reduced expression of oligophrenin-1, the protein encoded by Ophn1, results in altered dendritic spine morphology [20], [26] and learning impairments in mice [20]. Oligophrenin-1 has been previously shown to modulate endocytosis [22], [28], which alters responses to repetitive stimuli in excitatory synapses [23]. In contrast, its role in inhibitory terminals is less clear. In dentate gyrus granule neurons, it functioned as a regulator of synaptic vesicle availability [4], whereas in cultured CA1 neurons, oligophrenin-1 expression did not affect inhibitory transmission [28]. To further understand the role of oligophrenin-1 in cognitive deficits, we examined synchronous neuronal activity in the gamma frequency band. Reduced neuronal synchrony in the gamma range has been reported for various pathological conditions including Alzheimer's disease [29], ageing [30], schizophrenia [31] and autism [13]. Abnormal EEG recordings have long been associated with intellectual disabilities in humans [32], although until recently the link between mouse models and human disease was lacking [14]. Here we show that gamma oscillations are reduced in Ophn1^−/y mice and propose that this is a result of the reduction in synaptic strength which arises from deficits in vesicle recycling.

The observation that both KA-induced and spontaneous gamma oscillations are reduced in Ophn1^−/y slices is not surprising given the dependence of both on inhibitory neurotransmission [16] and that gamma oscillations place a high demand on inhibitory transmission [33], [34]. Kainate, acting via presynaptic receptors [35], has been demonstrated to facilitate neurotransmitter release via an alteration of the RRP [36]. Therefore the smaller RRP reported in this study could indeed explain the reduced gamma oscillation. Previous studies have demonstrated that the strength of the inhibitory input to pyramidal neurons modulates the power of gamma oscillations without changing the dominant frequency [15], [25]. Therefore, the alteration in vesicle availability appears the most likely candidate to explain the decreased power. Other potential explanations include alterations in the intrinsic excitability, although this seems unlikely as the intrinsic properties and firing frequency of interneurons and pyramidal neurons were not affected by the loss of expression of oligophrenin-1 (data not shown). An alternative explanation for the reduced gamma oscillations is that it results from fewer synapses on Ophn1^−/y neurons. The rapid reversal of all the synaptic deficits [4] and spontaneous gamma oscillations (this study) argues against changes in synaptic numbers because it is unlikely that the doubling in numbers of synapses required to explain the results can occur in the rapid timescale shown here. Furthermore, the difference in RRP measured at single synapses in both the CA3 (this study) and dentate gyrus [4] using minimal stimulation demonstrates a direct functional impairment of synaptic mechanisms in Ophn1^−/y mice.

Pharmacological reversal of gamma oscillations in vitro

Despite learning disabilities being common disorders (affecting 2–3% of the population), the most effective treatment options remain special-needs education and similar approaches. Recent research has suggested that intellectual disabilities may be treatable with pharmacotherapy [37]. The cognitive deficits reported for Ophn1^−/y mice have been proposed to result from over-activation of the RhoA signalling pathways [20]. Inhibition of the major downstream effector ROCK abolishes presynaptic changes in vesicle availability [4], postsynaptic alterations in synaptic plasticity [22], alterations in dendritic spine morphology [26] and more recently behavioural deficits [38]. In this study we have examined whether inhibition of ROCK activity could restore the altered gamma oscillations in Ophn1^−/y mice. Pre-treatment with Y–27632 restored spontaneous gamma oscillations to wild type levels in Ophn1-/y slices, but was without effect on these oscillations in wild type slices. The reversal of spontaneous gamma presumably reflects the restoration of synaptic transmission towards normal levels. In contrast, Y-27632 reduced KA-induced gamma oscillations in both Ophn1-/y and Ophn1+/y slices, which was an unexpected observation given that it reverses the synaptic changes [4] and dendritic spine abnormalities [26] associated with reduced oligophrenin-1 expression. As the requirement for fast AMPA receptor-mediated synaptic transmission differs between KA-induced and spontaneous gamma oscillations [16], [39] the reversal of spontaneous, but not KA-induced oscillations may reflect selective reversal of excitatory transmission (Fig 4) with GABA-ergic transmission unaffected. The synaptic phenotype of impaired vesicle dynamics for both excitatory and inhibitory neurotransmission in CA3 synapses is analogous to that described in the dentate gyrus synapses where full reversal of inhibitory transmission was achieved [4]. So while not directly tested here, it is unlikely that the differential effects of Y-27632 are due to selective reversal of excitatory neurotransmission.

The neuronal networks that underlie the generation of spontaneous and KA-induced oscillations have been demonstrated to be dependent on different subpopulations of interneurons [16], [34], [40]–[42]. In KA-induced gamma oscillations, electrotonically-coupled parvalbumin-expressing basket cells are responsible for the phasic inhibition that synchronises pyramidal cell firing [11], [43], although multiple interneuron subtypes are active during gamma oscillations [34]. Spontaneous oscillations are also dependent on phasic inhibition, however current source density analysis suggests that s. lucidum interneurons are responsible, with ‘mossy fibre associated’ interneurons being the most likely candidate [16]. It is therefore possible that the differential effect of Y-27632 on KA-evoked and spontaneous gamma results from ROCK exerting different control of synaptic vesicle dynamics in the different interneuron populations, although this remains to be established.

Given that ROCK inhibition affected KA-induced oscillations to a similar extent in both wild-type and knockout slices, it is possible that the methodology used to generate gamma oscillations determines the effect of Y-27632. This has been demonstrated for the NR2B-selective NMDA receptor antagonist Ro25-6981 which potentiates KA-induced [14], but reduces tetanus-evoked gamma oscillations [44]. It would be interesting to examine the effects of inhibition of ROCK on gamma oscillations generated by activation of muscarinic receptors, as these are thought to be most similar to spontaneous oscillations [16].

Inhibition of ROCK may have non-specific effects on the network responsible for generation of KA-induced oscillations. For example, KA-induced oscillations are dependent on electrotonic coupling [45], [46] which may be altered by inhibition of ROCK [47]. Additionally, Y-27632 has been shown to modulate various ionic conductances such as Nav1.5 [48] and alter K⁺-induced contraction of smooth muscle [49], suggesting off-target effects which may specifically alter KA-induced oscillations. Therefore further studies are required to establish the underlying cause of the divergent effects of ROCK inhibition.

In this study we have examined whether inhibition of ROCK activity could restore the altered gamma oscillations in Ophn1^−/y mice. A recent report demonstrated that peripheral application of ROCK inhibitors can improve spatial and working memory in rodents [50], raising the possibility that the use of ROCK inhibitors may provide a suitable pharmacotherapy for the reversal of cognitive deficits in this intellectual disability.

Acknowledgments

The authors would like to thank the members of the Neuronal Networks group for helpful discussions. Additional thanks are given to Drs Jamel Chelly and Pierre Billuart for the Ophn1 knockout mouse line and initial discussions.

Author Contributions

Conceived and designed the experiments: JGRJ ADP PPS. Performed the experiments: ADP PPS KKG AB SCB GM. Analyzed the data: ADP PPS PJ JGRJ. Wrote the paper: ADP KKG JGRJ.

References

1. Chelly J, Khelfaoui M, Francis F, Cherif B, Bienvenu T (2006) Genetics and pathophysiology of mental retardation. Eur J HumGenet 14: 701–713.
- View Article
- Google Scholar
2. Bianchi V, Farisello P, Baldelli P, Meskenaite V, Milanese M, et al. (2009) Cognitive impairment in Gdi1 deficient mice is associated with altered synaptic vesicle pools and short-term synaptic plasticity, and can be corrected by appropriate learning training. Human Molecular Genetics 18: 105–117.
- View Article
- Google Scholar
3. Monteggia LM, Kavalali ET (2009) Rett Syndrome and the Impact of MeCP2 Associated Transcriptional Mechanisms on Neurotransmission. Biological Psychiatry 65: 204–210.
- View Article
- Google Scholar
4. Powell AD, Gill KK, Saintot PP, Jiruska P, Chelly J, et al. (2012) Rapid reversal of impaired inhibitory and excitatory transmission but not spine dysgenesis in a mouse model of mental retardation. Journal of Physiology 590: 763–776.
- View Article
- Google Scholar
5. Herrmann CS, Munk MH, Engel AK (2004) Cognitive functions of gamma-band activity: memory match and utilization. Trends Cogn Sci 8: 347–355.
- View Article
- Google Scholar
6. Bartos M, Vida I, Jonas P (2007) Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks. Nature Reviews Neuroscience 8: 45–56.
- View Article
- Google Scholar
7. Rosenzweig ES, Rao G, McNaughton BL, Barnes CA (1997) Role of temporal summation in age-related long-term potentiation-induction deficits. Hippocampus 7: 549–558.
- View Article
- Google Scholar
8. Traub RD, Spruston N, Soltesz I, Konnerth A, Whittington MA, et al. (1998) Gamma-frequency oscillations: a neuronal population phenomenon, regulated by synaptic and intrinsic cellular processes, and inducing synaptic plasticity. Prog Neurobiol 55: 563–575.
- View Article
- Google Scholar
9. Buzsaki G, Buhl DL, Harris KD, Csicsvari J, Czeh B, et al. (2003) Hippocampal network patterns of activity in the mouse. Neuroscience 116: 201–211.
- View Article
- Google Scholar
10. Csicsvari J, Jamieson B, Wise KD, Buzsaki G (2003) Mechanisms of gamma oscillations in the hippocampus of the behaving rat. Neuron 37: 311–322.
- View Article
- Google Scholar
11. Fuchs EC, Zivkovic AR, Cunningham MO, Middleton S, LeBeau FE, et al. (2007) Recruitment of parvalbumin-positive interneurons determines hippocampal function and associated behavior. Neuron 53: 591–604.
- View Article
- Google Scholar
12. Ma J, Leung LS (2000) Relation between hippocampal gamma waves and behavioral disturbances induced by phencyclidine and methamphetamine. Behav Brain Res 111: 1–11.
- View Article
- Google Scholar
13. Grice SJ, Spratling MW, Karmiloff-Smith A, Halit H, Csibra G, et al. (2001) Disordered visual processing and oscillatory brain activity in autism and Williams syndrome. Neuroreport 12: 2697–2700.
- View Article
- Google Scholar
14. Hanson JE, Weber M, Meilandt WJ, Wu T, Luu T, et al. (2013) GluN2B Antagonism Affects Interneurons and Leads to Immediate and Persistent Changes in Synaptic Plasticity, Oscillations, and Behavior. Neuropsychopharmacology 38: 1221–1233.
- View Article
- Google Scholar
15. Hajos N, Katona I, Naiem SS, Mackie K, Ledent C, et al. (2000) Cannabinoids inhibit hippocampal GABAergic transmission and network oscillations. Eur J Neurosci 12: 3239–3249.
- View Article
- Google Scholar
16. Pietersen AN, Patel N, Jefferys JGR, Vreugdenhil M (2009) Comparison between spontaneous and kainate-induced gamma oscillations in the mouse hippocampus in vitro. Eur J Neurosci.
17. Trevino M, Vivar C, Gutierrez R (2007) Beta/gamma oscillatory activity in the CA3 hippocampal area is depressed by aberrant GABAergic transmission from the dentate gyrus after seizures. Journal of Neuroscience 27: 251–259.
- View Article
- Google Scholar
18. Andersson R, Johnston A, Fisahn A (2012) Dopamine D4 receptor activation increases hippocampal gamma oscillations by enhancing synchronization of fast-spiking interneurons. PLoS One 7: e40906.
- View Article
- Google Scholar
19. Billuart P, Bienvenu T, Ronce N, des Portes V, Vinet MC, et al. (1998) Oligophrenin-1 encodes a rhoGAP protein involved in X-linked mental retardation. Nature 392: 923–926.
- View Article
- Google Scholar
20. Khelfaoui M, Denis C, van Galen E, de Bock F, Schmitt A, et al. (2007) Loss of X-Linked Mental Retardation Gene Oligophrenin1 in Mice Impairs Spatial Memory and Leads to Ventricular Enlargement and Dendritic Spine Immaturity. Journal of Neuroscience 27: 9439–9450.
- View Article
- Google Scholar
21. Fauchereau F, Herbrand U, Chafey P, Eberth A, Koulakoff A, et al. (2003) The RhoGAP activity of OPHN1, a new F-actin-binding protein, is negatively controlled by its amino-terminal domain. Mol Cell Neurosci 23: 574–586.
- View Article
- Google Scholar
22. Khelfaoui M, Alice P, Powell AD, Valnegri P, Cheong KW, et al. (2009) Inhibition of RhoA pathway rescues the endocytosis defects in Oligophrenin1 mouse model of mental retardation. Human Molecular Genetics 18: 2575–83.
- View Article
- Google Scholar
23. Nakano-Kobayashi A, Kasri NN, Newey SE, Van Aelst L (2009) The Rho-Linked Mental Retardation Protein OPHN1 Controls Synaptic Vesicle Endocytosis via Endophilin A1. Curr Biol 19: 1133–1139.
- View Article
- Google Scholar
24. Schneggenburger R, Meyer AC, Neher E (1999) Released fraction and total size of a pool of immediately available transmitter quanta at a calyx synapse. Neuron 23: 399–409.
- View Article
- Google Scholar
25. Vreugdenhil M, Jefferys JGR, Celio MR, Schwaller B (2003) Parvalbumin-deficiency facilitates repetitive IPSCs and gamma oscillations in the hippocampus. Journal of Neurophysiology 89: 1414–1422.
- View Article
- Google Scholar
26. Govek EE, Newey SE, Akerman CJ, Cross JR, Van der Veken L, et al. (2004) The X-linked mental retardation protein oligophrenin-1 is required for dendritic spine morphogenesis. Nat Neurosci 7: 364–372.
- View Article
- Google Scholar
27. Di PG, Sankaranarayanan S, Wenk MR, Daniell L, Perucco E, et al. (2002) Decreased synaptic vesicle recycling efficiency and cognitive deficits in amphiphysin 1 knockout mice. Neuron 33: 789–804.
- View Article
- Google Scholar
28. Nadif Kasri N, Nakano-Kobayashi A, Malinow R, Li B, Van Aelst L (2009) The Rho-linked mental retardation protein oligophrenin-1 controls synapse maturation and plasticity by stabilizing AMPA receptors. Genes Dev 23: 1289–1302.
- View Article
- Google Scholar
29. Koenig T, Prichep L, Dierks T, Hubl D, Wahlund LO, et al. (2005) Decreased EEG synchronization in Alzheimer's disease and mild cognitive impairment. NeurobiolAging 26: 165–171.
- View Article
- Google Scholar
30. Vreugdenhil M, Toescu EC (2005) Age-dependent reduction of gamma oscillations in the mouse hippocampus in vitro. Neuroscience 132: 1151–1157.
- View Article
- Google Scholar
31. Basar-Eroglu C, Brand A, Hildebrandt H, Karolina KK, Mathes B, et al. (2007) Working memory related gamma oscillations in schizophrenia patients. Int J Psychophysiol 64: 39–45.
- View Article
- Google Scholar
32. Posey HT (1951) The electroencephalogram in mental deficiency. Am J Ment Defic 55: 515–520.
- View Article
- Google Scholar
33. Gloveli T, Dugladze T, Saha S, Monyer H, Heinemann U, et al. (2005) Differential involvement of oriens/pyramidale interneurones in hippocampal network oscillations in vitro. J Physiol 562: 131–147.
- View Article
- Google Scholar
34. Hajos N, Palhalmi J, Mann EO, Nemeth B, Paulsen O, et al. (2004) Spike timing of distinct types of GABAergic interneuron during hippocampal gamma oscillations in vitro. J Neurosci 24: 9127–9137.
- View Article
- Google Scholar
35. Gelsomino G, Menna E, Antonucci F, Rodighiero S, Riganti L, et al. (2013) Kainate Induces Mobilization of Synaptic Vesicles at the Growth Cone through the Activation of Protein Kinase A. Cerebral Cortex 23: 531–541.
- View Article
- Google Scholar
36. Mathew SS, Pozzo-Miller L, Hablitz JJ (2008) Kainate Modulates Presynaptic GABA Release from Two Vesicle Pools. Journal of Neuroscience 28: 725–731.
- View Article
- Google Scholar
37. Hagerman RJ, Berry-Kravis E, Kaufmann WE, Ono MY, Tartaglia N, et al. (2009) Advances in the treatment of fragile X syndrome. Pediatrics 123: 378–390.
- View Article
- Google Scholar
38. Khelfaoui M, Gambino F, Houbaert X, Ragazzon B, Müller C, et al.. (2014) Lack of the presynaptic RhoGAP protein oligophrenin1 leads to cognitive disabilities through dysregulation of the cAMP/PKA signalling pathway. Philosophical Transactions of the Royal Society B: Biological Sciences 369.
39. Fisahn A, Contractor A, Traub RD, Buhl EH, Heinemann SF, et al. (2004) Distinct roles for the kainate receptor subunits GluR5 and GluR6 in kainate-induced hippocampal gamma oscillations. J Neurosci 24: 9658–9668.
- View Article
- Google Scholar
40. Pálhalmi J, Paulsen O, Freund TF, Hájos N (2004) Distinct properties of carbachol- and DHPG-induced network oscillations in hippocampal slices. Neuropharmacology 47: 381–389.
- View Article
- Google Scholar
41. Brown JT, Teriakidis A, Randall AD (2006) A pharmacological investigation of the role of GLUK5-containing receptors in kainate-driven hippocampal gamma band oscillations. Neuropharmacology 50: 47–56.
- View Article
- Google Scholar
42. Middleton S, Jalics J, Kispersky T, LeBeau FEN, Roopun AK, et al. (2008) NMDA receptor-dependent switching between different gamma rhythm-generating microcircuits in entorhinal cortex. Proceedings of the National Academy of Sciences 105: 18572–18577.
- View Article
- Google Scholar
43. Fukuda T, Kosaka T (2000) Gap junctions linking the dendritic network of GABAergic interneurons in the hippocampus. J Neurosci 20: 1519–1528.
- View Article
- Google Scholar
44. McNally JM, McCarley RW, McKenna JT, Yanagawa Y, Brown RE (2011) Complex receptor mediation of acute ketamine application on in vitro gamma oscillations in mouse prefrontal cortex: modeling gamma band oscillation abnormalities in schizophrenia. Neuroscience 199: 51–63.
- View Article
- Google Scholar
45. Traub RD, Pais I, Bibbig A, LeBeau FE, Buhl EH, et al. (2003) Contrasting roles of axonal (pyramidal cell) and dendritic (interneuron) electrical coupling in the generation of neuronal network oscillations. Proc Natl Acad Sci USA 100: 1370–1374.
- View Article
- Google Scholar
46. Zlomuzica A, Reichinnek S, Maxeiner S, Both M, May E, et al. (2010) Deletion of connexin45 in mouse neurons disrupts one-trial object recognition and alters kainate-induced γ-oscillations in the hippocampus. Physiology & Behavior 101: 245–253.
- View Article
- Google Scholar
47. Anderson SC, Stone C, Tkach L, SundarRaj N (2002) Rho and Rho-kinase (ROCK) signaling in adherens and gap junction assembly in corneal epithelium. Invest Ophthalmol Vis Sci 43: 978–986.
- View Article
- Google Scholar
48. Dulong C, Fang YJ, Gest C, Zhou MH, Patte-Mensah C, et al. (2014) The small GTPase RhoA regulates the expression and function of the sodium channel Nav1.5 in breast cancer cells. Int J Oncol 44: 539–547.
- View Article
- Google Scholar
49. Saponara S, Fusi F, Sgaragli G, Cavalli M, Hopkins B, et al. (2012) Effects of commonly used protein kinase inhibitors on vascular contraction and L-type Ca²⁺ current. Biochemical Pharmacology 84: 1055–1061.
- View Article
- Google Scholar
50. Huentelman MJ, Stephan DA, Talboom J, Corneveaux JJ, Reiman DM, et al. (2009) Peripheral delivery of a ROCK inhibitor improves learning and working memory. Behav Neurosci 123: 218–223.
- View Article
- Google Scholar

[ref1] 1. Chelly J, Khelfaoui M, Francis F, Cherif B, Bienvenu T (2006) Genetics and pathophysiology of mental retardation. Eur J HumGenet 14: 701–713.
View Article
Google Scholar

[2] View Article

[3] Google Scholar

[ref2] 2. Bianchi V, Farisello P, Baldelli P, Meskenaite V, Milanese M, et al. (2009) Cognitive impairment in Gdi1 deficient mice is associated with altered synaptic vesicle pools and short-term synaptic plasticity, and can be corrected by appropriate learning training. Human Molecular Genetics 18: 105–117.
View Article
Google Scholar

[5] View Article

[6] Google Scholar

[ref3] 3. Monteggia LM, Kavalali ET (2009) Rett Syndrome and the Impact of MeCP2 Associated Transcriptional Mechanisms on Neurotransmission. Biological Psychiatry 65: 204–210.
View Article
Google Scholar

[8] View Article

[9] Google Scholar

[ref4] 4. Powell AD, Gill KK, Saintot PP, Jiruska P, Chelly J, et al. (2012) Rapid reversal of impaired inhibitory and excitatory transmission but not spine dysgenesis in a mouse model of mental retardation. Journal of Physiology 590: 763–776.
View Article
Google Scholar

[11] View Article

[12] Google Scholar

[ref5] 5. Herrmann CS, Munk MH, Engel AK (2004) Cognitive functions of gamma-band activity: memory match and utilization. Trends Cogn Sci 8: 347–355.
View Article
Google Scholar

[14] View Article

[15] Google Scholar

[ref6] 6. Bartos M, Vida I, Jonas P (2007) Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks. Nature Reviews Neuroscience 8: 45–56.
View Article
Google Scholar

[17] View Article

[18] Google Scholar

[ref7] 7. Rosenzweig ES, Rao G, McNaughton BL, Barnes CA (1997) Role of temporal summation in age-related long-term potentiation-induction deficits. Hippocampus 7: 549–558.
View Article
Google Scholar

[20] View Article

[21] Google Scholar

[ref8] 8. Traub RD, Spruston N, Soltesz I, Konnerth A, Whittington MA, et al. (1998) Gamma-frequency oscillations: a neuronal population phenomenon, regulated by synaptic and intrinsic cellular processes, and inducing synaptic plasticity. Prog Neurobiol 55: 563–575.
View Article
Google Scholar

[23] View Article

[24] Google Scholar

[ref9] 9. Buzsaki G, Buhl DL, Harris KD, Csicsvari J, Czeh B, et al. (2003) Hippocampal network patterns of activity in the mouse. Neuroscience 116: 201–211.
View Article
Google Scholar

[26] View Article

[27] Google Scholar

[ref10] 10. Csicsvari J, Jamieson B, Wise KD, Buzsaki G (2003) Mechanisms of gamma oscillations in the hippocampus of the behaving rat. Neuron 37: 311–322.
View Article
Google Scholar

[29] View Article

[30] Google Scholar

[ref11] 11. Fuchs EC, Zivkovic AR, Cunningham MO, Middleton S, LeBeau FE, et al. (2007) Recruitment of parvalbumin-positive interneurons determines hippocampal function and associated behavior. Neuron 53: 591–604.
View Article
Google Scholar

[32] View Article

[33] Google Scholar

[ref12] 12. Ma J, Leung LS (2000) Relation between hippocampal gamma waves and behavioral disturbances induced by phencyclidine and methamphetamine. Behav Brain Res 111: 1–11.
View Article
Google Scholar

[35] View Article

[36] Google Scholar

[ref13] 13. Grice SJ, Spratling MW, Karmiloff-Smith A, Halit H, Csibra G, et al. (2001) Disordered visual processing and oscillatory brain activity in autism and Williams syndrome. Neuroreport 12: 2697–2700.
View Article
Google Scholar

[38] View Article

[39] Google Scholar

[ref14] 14. Hanson JE, Weber M, Meilandt WJ, Wu T, Luu T, et al. (2013) GluN2B Antagonism Affects Interneurons and Leads to Immediate and Persistent Changes in Synaptic Plasticity, Oscillations, and Behavior. Neuropsychopharmacology 38: 1221–1233.
View Article
Google Scholar

[41] View Article

[42] Google Scholar

[ref15] 15. Hajos N, Katona I, Naiem SS, Mackie K, Ledent C, et al. (2000) Cannabinoids inhibit hippocampal GABAergic transmission and network oscillations. Eur J Neurosci 12: 3239–3249.
View Article
Google Scholar

[44] View Article

[45] Google Scholar

[ref16] 16. Pietersen AN, Patel N, Jefferys JGR, Vreugdenhil M (2009) Comparison between spontaneous and kainate-induced gamma oscillations in the mouse hippocampus in vitro. Eur J Neurosci.

[ref17] 17. Trevino M, Vivar C, Gutierrez R (2007) Beta/gamma oscillatory activity in the CA3 hippocampal area is depressed by aberrant GABAergic transmission from the dentate gyrus after seizures. Journal of Neuroscience 27: 251–259.
View Article
Google Scholar

[48] View Article

[49] Google Scholar

[ref18] 18. Andersson R, Johnston A, Fisahn A (2012) Dopamine D4 receptor activation increases hippocampal gamma oscillations by enhancing synchronization of fast-spiking interneurons. PLoS One 7: e40906.
View Article
Google Scholar

[51] View Article

[52] Google Scholar

[ref19] 19. Billuart P, Bienvenu T, Ronce N, des Portes V, Vinet MC, et al. (1998) Oligophrenin-1 encodes a rhoGAP protein involved in X-linked mental retardation. Nature 392: 923–926.
View Article
Google Scholar

[54] View Article

[55] Google Scholar

[ref20] 20. Khelfaoui M, Denis C, van Galen E, de Bock F, Schmitt A, et al. (2007) Loss of X-Linked Mental Retardation Gene Oligophrenin1 in Mice Impairs Spatial Memory and Leads to Ventricular Enlargement and Dendritic Spine Immaturity. Journal of Neuroscience 27: 9439–9450.
View Article
Google Scholar

[57] View Article

[58] Google Scholar

[ref21] 21. Fauchereau F, Herbrand U, Chafey P, Eberth A, Koulakoff A, et al. (2003) The RhoGAP activity of OPHN1, a new F-actin-binding protein, is negatively controlled by its amino-terminal domain. Mol Cell Neurosci 23: 574–586.
View Article
Google Scholar

[60] View Article

[61] Google Scholar

[ref22] 22. Khelfaoui M, Alice P, Powell AD, Valnegri P, Cheong KW, et al. (2009) Inhibition of RhoA pathway rescues the endocytosis defects in Oligophrenin1 mouse model of mental retardation. Human Molecular Genetics 18: 2575–83.
View Article
Google Scholar

[63] View Article

[64] Google Scholar

[ref23] 23. Nakano-Kobayashi A, Kasri NN, Newey SE, Van Aelst L (2009) The Rho-Linked Mental Retardation Protein OPHN1 Controls Synaptic Vesicle Endocytosis via Endophilin A1. Curr Biol 19: 1133–1139.
View Article
Google Scholar

[66] View Article

[67] Google Scholar

[ref24] 24. Schneggenburger R, Meyer AC, Neher E (1999) Released fraction and total size of a pool of immediately available transmitter quanta at a calyx synapse. Neuron 23: 399–409.
View Article
Google Scholar

[69] View Article

[70] Google Scholar

[ref25] 25. Vreugdenhil M, Jefferys JGR, Celio MR, Schwaller B (2003) Parvalbumin-deficiency facilitates repetitive IPSCs and gamma oscillations in the hippocampus. Journal of Neurophysiology 89: 1414–1422.
View Article
Google Scholar

[72] View Article

[73] Google Scholar

[ref26] 26. Govek EE, Newey SE, Akerman CJ, Cross JR, Van der Veken L, et al. (2004) The X-linked mental retardation protein oligophrenin-1 is required for dendritic spine morphogenesis. Nat Neurosci 7: 364–372.
View Article
Google Scholar

[75] View Article

[76] Google Scholar

[ref27] 27. Di PG, Sankaranarayanan S, Wenk MR, Daniell L, Perucco E, et al. (2002) Decreased synaptic vesicle recycling efficiency and cognitive deficits in amphiphysin 1 knockout mice. Neuron 33: 789–804.
View Article
Google Scholar

[78] View Article

[79] Google Scholar

[ref28] 28. Nadif Kasri N, Nakano-Kobayashi A, Malinow R, Li B, Van Aelst L (2009) The Rho-linked mental retardation protein oligophrenin-1 controls synapse maturation and plasticity by stabilizing AMPA receptors. Genes Dev 23: 1289–1302.
View Article
Google Scholar

[81] View Article

[82] Google Scholar

[ref29] 29. Koenig T, Prichep L, Dierks T, Hubl D, Wahlund LO, et al. (2005) Decreased EEG synchronization in Alzheimer's disease and mild cognitive impairment. NeurobiolAging 26: 165–171.
View Article
Google Scholar

[84] View Article

[85] Google Scholar

[ref30] 30. Vreugdenhil M, Toescu EC (2005) Age-dependent reduction of gamma oscillations in the mouse hippocampus in vitro. Neuroscience 132: 1151–1157.
View Article
Google Scholar

[87] View Article

[88] Google Scholar

[ref31] 31. Basar-Eroglu C, Brand A, Hildebrandt H, Karolina KK, Mathes B, et al. (2007) Working memory related gamma oscillations in schizophrenia patients. Int J Psychophysiol 64: 39–45.
View Article
Google Scholar

[90] View Article

[91] Google Scholar

[ref32] 32. Posey HT (1951) The electroencephalogram in mental deficiency. Am J Ment Defic 55: 515–520.
View Article
Google Scholar

[93] View Article

[94] Google Scholar

[ref33] 33. Gloveli T, Dugladze T, Saha S, Monyer H, Heinemann U, et al. (2005) Differential involvement of oriens/pyramidale interneurones in hippocampal network oscillations in vitro. J Physiol 562: 131–147.
View Article
Google Scholar

[96] View Article

[97] Google Scholar

[ref34] 34. Hajos N, Palhalmi J, Mann EO, Nemeth B, Paulsen O, et al. (2004) Spike timing of distinct types of GABAergic interneuron during hippocampal gamma oscillations in vitro. J Neurosci 24: 9127–9137.
View Article
Google Scholar

[99] View Article

[100] Google Scholar

[ref35] 35. Gelsomino G, Menna E, Antonucci F, Rodighiero S, Riganti L, et al. (2013) Kainate Induces Mobilization of Synaptic Vesicles at the Growth Cone through the Activation of Protein Kinase A. Cerebral Cortex 23: 531–541.
View Article
Google Scholar

[102] View Article

[103] Google Scholar

[ref36] 36. Mathew SS, Pozzo-Miller L, Hablitz JJ (2008) Kainate Modulates Presynaptic GABA Release from Two Vesicle Pools. Journal of Neuroscience 28: 725–731.
View Article
Google Scholar

[105] View Article

[106] Google Scholar

[ref37] 37. Hagerman RJ, Berry-Kravis E, Kaufmann WE, Ono MY, Tartaglia N, et al. (2009) Advances in the treatment of fragile X syndrome. Pediatrics 123: 378–390.
View Article
Google Scholar

[108] View Article

[109] Google Scholar

[ref38] 38. Khelfaoui M, Gambino F, Houbaert X, Ragazzon B, Müller C, et al.. (2014) Lack of the presynaptic RhoGAP protein oligophrenin1 leads to cognitive disabilities through dysregulation of the cAMP/PKA signalling pathway. Philosophical Transactions of the Royal Society B: Biological Sciences 369.

[ref39] 39. Fisahn A, Contractor A, Traub RD, Buhl EH, Heinemann SF, et al. (2004) Distinct roles for the kainate receptor subunits GluR5 and GluR6 in kainate-induced hippocampal gamma oscillations. J Neurosci 24: 9658–9668.
View Article
Google Scholar

[112] View Article

[113] Google Scholar

[ref40] 40. Pálhalmi J, Paulsen O, Freund TF, Hájos N (2004) Distinct properties of carbachol- and DHPG-induced network oscillations in hippocampal slices. Neuropharmacology 47: 381–389.
View Article
Google Scholar

[115] View Article

[116] Google Scholar

[ref41] 41. Brown JT, Teriakidis A, Randall AD (2006) A pharmacological investigation of the role of GLUK5-containing receptors in kainate-driven hippocampal gamma band oscillations. Neuropharmacology 50: 47–56.
View Article
Google Scholar

[118] View Article

[119] Google Scholar

[ref42] 42. Middleton S, Jalics J, Kispersky T, LeBeau FEN, Roopun AK, et al. (2008) NMDA receptor-dependent switching between different gamma rhythm-generating microcircuits in entorhinal cortex. Proceedings of the National Academy of Sciences 105: 18572–18577.
View Article
Google Scholar

[121] View Article

[122] Google Scholar

[ref43] 43. Fukuda T, Kosaka T (2000) Gap junctions linking the dendritic network of GABAergic interneurons in the hippocampus. J Neurosci 20: 1519–1528.
View Article
Google Scholar

[124] View Article

[125] Google Scholar

[ref44] 44. McNally JM, McCarley RW, McKenna JT, Yanagawa Y, Brown RE (2011) Complex receptor mediation of acute ketamine application on in vitro gamma oscillations in mouse prefrontal cortex: modeling gamma band oscillation abnormalities in schizophrenia. Neuroscience 199: 51–63.
View Article
Google Scholar

[127] View Article

[128] Google Scholar

[ref45] 45. Traub RD, Pais I, Bibbig A, LeBeau FE, Buhl EH, et al. (2003) Contrasting roles of axonal (pyramidal cell) and dendritic (interneuron) electrical coupling in the generation of neuronal network oscillations. Proc Natl Acad Sci USA 100: 1370–1374.
View Article
Google Scholar

[130] View Article

[131] Google Scholar

[ref46] 46. Zlomuzica A, Reichinnek S, Maxeiner S, Both M, May E, et al. (2010) Deletion of connexin45 in mouse neurons disrupts one-trial object recognition and alters kainate-induced γ-oscillations in the hippocampus. Physiology & Behavior 101: 245–253.
View Article
Google Scholar

[133] View Article

[134] Google Scholar

[ref47] 47. Anderson SC, Stone C, Tkach L, SundarRaj N (2002) Rho and Rho-kinase (ROCK) signaling in adherens and gap junction assembly in corneal epithelium. Invest Ophthalmol Vis Sci 43: 978–986.
View Article
Google Scholar

[136] View Article

[137] Google Scholar

[ref48] 48. Dulong C, Fang YJ, Gest C, Zhou MH, Patte-Mensah C, et al. (2014) The small GTPase RhoA regulates the expression and function of the sodium channel Nav1.5 in breast cancer cells. Int J Oncol 44: 539–547.
View Article
Google Scholar

[139] View Article

[140] Google Scholar

[ref49] 49. Saponara S, Fusi F, Sgaragli G, Cavalli M, Hopkins B, et al. (2012) Effects of commonly used protein kinase inhibitors on vascular contraction and L-type Ca²⁺ current. Biochemical Pharmacology 84: 1055–1061.
View Article
Google Scholar

[142] View Article

[143] Google Scholar

[ref50] 50. Huentelman MJ, Stephan DA, Talboom J, Corneveaux JJ, Reiman DM, et al. (2009) Peripheral delivery of a ROCK inhibitor improves learning and working memory. Behav Neurosci 123: 218–223.
View Article
Google Scholar

[145] View Article

[146] Google Scholar

Figures

Abstract

Introduction

Methods

Ethics statement

Hippocampal slice preparation

Extracellular recordings

Gamma oscillations

Evoked field potentials

Whole-cell patch-clamp recordings

Statistical analysis

Drugs

Results

Ophn1 null neurons display altered responses to repetitive stimuli

Altered responses to repetitive stimuli are rescued by ROCK inhibition

Altered gamma oscillations in Ophn1−/y slices

Sensitivity of reduced gamma oscillations to ROCK inhibitors

Discussion

Pharmacological reversal of gamma oscillations in vitro

Acknowledgments

Author Contributions

References

Altered gamma oscillations in Ophn1^−/y slices