Search tips
Search criteria 


Logo of wtpaEurope PMCEurope PMC Funders GroupSubmit a Manuscript
Mol Psychiatry. Author manuscript; available in PMC 2017 August 14.
Published in final edited form as:
Published online 2017 February 14. doi:  10.1038/mp.2017.1
PMCID: PMC5400722

Genetic Otx2 mis-localization delays critical period plasticity across brain regions


Accumulation of non-cell autonomous Otx2 homeoprotein in postnatal mouse visual cortex (V1) has been implicated in both the onset and closure of critical period plasticity. Here, we show that a genetic point mutation in the glycosaminoglycan-recognition motif of Otx2 broadly delays the maturation of pivotal parvalbumin-positive (PV+) interneurons not only in V1 but also in the primary auditory (A1) and medial prefrontal cortex (mPFC). Consequently, not only visual, but also auditory plasticity is delayed, including the experience-dependent expansion of tonotopic maps in A1 and the acquisition of acoustic preferences in mPFC which mitigates anxious behavior. In addition, Otx2 mis-localization leads to dynamic turnover of selected perineuronal net (PNN) components well beyond the normal critical period in V1 and mPFC. These findings reveal widespread actions of Otx2 signaling in the postnatal cortex controlling the maturational trajectory across modalities. Disrupted PV+ network function and deficits in PNN integrity are implicated in a variety of psychiatric illnesses, suggesting a potential global role for Otx2 function in establishing mental health.


Critical periods (CP) of brain plasticity correspond to defined developmental stages during which experience can shape neural circuitry1. For example, during these windows in primary visual cortex (V1), acuity and binocularity can be weakened by discordant sensory experience through the two eyes, such as monocular deprivation (MD)2, 3. In humans, such conditions known as ‘lazy eye’ or amblyopia (blunted vision), occur in 2-4% of the population, currently with no cure beyond age eight4. Later, imbalanced visual input typically has little influence on acuity, reflecting the maturational state of fast-spiking, parvalbumin-positive (PV+) inhibitory interneurons1, 5. A broader role for GABAergic development, and PV+ circuitry in particular, has been implicated in cognitive dysfunction68. Prenatal stress9 or neonatal hypoxia10 can also weaken these vulnerable GABAergic neurons. Mistiming of CP plasticity following genetic or environmental insults may contribute to the etiology of subsequent disorders such as schizophrenia and autism11, 12.

During postnatal brain development, distinct CPs across different modalities must be well orchestrated. For example, CPs for sensory processing normally arise before more complex, highly integrated cognitive functions1. Interestingly, PV+ cells emerge in cortical regions just ahead of their respective CP onset13. We have previously shown that the non-cell autonomous homeoprotein Otx2 is essential for this PV+ cell maturation in V1 and consequently responsible for regulating CP timing therein14, 15. While Otx2 protein has also been found in other cortical regions16, a similar developmental role for Otx2 in other modalities beyond V1 remains unknown. Indeed, an Otx2 polymorphism has been related to bipolar disorder17, suggesting a more global role for Otx2. Here, we directly address this question by genetic disruption of a pivotal aspect of postnatal Otx2 signaling.

Plasticity in V1 is controlled by the experience-dependent transfer of Otx2 produced outside the cortex14, 15. Binding to the perineuronal net (PNN) – an extracellular matrix structure enriched in glycosaminoglycans (GAG) that tightly enwrap PV+ cells as they mature – is a crucial step15, 1820. Thus, cortical infusion of exogenous Otx2 protein just after eye opening (but before normal CP onset) accelerates PV+ cell maturation in V1 and prematurely triggers plasticity in mice14, while CP onset is delayed by extracellular blockade of Otx2 protein15. Conversely, PNN removal or reducing Otx2 levels in adulthood reopens a new window of plasticity15, 16, 18. Of therapeutic relevance2, 4, the latter manipulations successfully restore vision to amblyopic mice15, 16.

We previously identified a short arginine-rich sugar-binding motif within Otx2 that interacts specifically with disulfated chondroitin sulfate GAG side chains in the PNN15. Here, we used a knock-in mouse bearing point mutations in this motif. This allowed us first to determine whether the short peptide sequence is intrinsically needed for PNN-mediated PV+ cell-specific Otx2 localization. Second, we could then test whether this Otx2 mutation would have a global impact beyond the visual system by analyzing its effect across modalities. Indeed, we found altered PV+ cell maturation and delayed CP timing not only for amblyopic effects in V1, but also for tonotopic map plasticity and acoustic preference behavior in primary auditory (A1) and medial prefrontal cortex (mPFC), respectively. In turn, PNN components remained dynamic well beyond the normal time of CP closure. This mouse model thus reveals a global role for Otx2 in regulating CP timing throughout the cortex and confirms the importance of GAG binding in localizing non-cell autonomous Otx2 to PV+ cells.

Materials and Methods


The Otx2-AA mouse line was generated through a knock-in approach, as described previously21. In all tests performed, there were no differences between wild-type animals from different litters. All procedures were designed to minimize animal suffering and carried out in accordance with recommendations of the European Directive 86/609 (EEC Council for Animal Protection in Experimental Research and Other Scientific Utilization) and the IACUC committee of Boston Children’s Hospital.


Mice were perfused transcardially with PBS followed by 4% paraformaldehyde prepared in PBS. Brains were dissected, post-fixed overnight at 4°C in 4% paraformaldehyde and immunohistochemistry was performed on free-floating sections (40µm). Sections were incubated with primary antibodies overnight at 4°C, intensively washed and further incubated with corresponding Alexa Fluor-conjugated secondary antibodies for 1 hour at room temperature. The following primary antibodies were used: anti-Otx2 (mouse monoclonal, in house), anti-cFos (rabbit polyclonal, 1/500, Santa Cruz), anti-Cux2 (rabbit polyclonal, 1/200, Sigma), anti-Somatostatin (rat monoclonal, 1/500, Millipore), anti-Calbindin (rabbit polyclonal, 1/200, Millipore), anti-VIP (rabbit polyclonal, 1/200, Genetex), anti-Calretinin (rabbit polyclonal, 1/200, Swant) and anti-PV (rabbit polyclonal, 1/500, Swant). Secondary antibodies were used as follows: anti-mouse Alexa Fluor 488 (1/2000, Molecular Probes) and anti-rabbit Alexa Fluor 546 (1/2000, Molecular Probes).

Biotinylated WFA (1/100, Sigma-Aldrich) was used to reveal perineuronal nets and streptavidin-conjugated Alexa Fluor 633 (1/2000, Molecular Probes) was used for its detection. Stained sections were mounted in Fluoromount medium (Southern Biotech) and images were acquired with a Leica SP5 confocal microscope. Staining intensity analyses and cell counting were then carried out using ImageJ software. In brief, a threshold was applied in order to subtract background signal. Size and circularity filters were used to remove false-positive structures, while DAPI counterstain was used to visually confirm that the analyzed structures were cells. For extracellular WFA staining, the mean intensity of the entire image was analyzed in order to quantify staining on both the cell body and its projections. Co-localizations of different antibodies stains were quantified manually.

Monocular deprivation (MD)

Mice were anesthetized by isoflurane and the left eyelid was sutured shut before returning to normal housing cage with littermates5. The suture was monitored daily for 4 days to ensure complete closure.

Visual evoked potential (VEP) recording

Mice were anesthetized using a mixture of nembutal/chlorprothixene/dexamethasone, and a tracheotomy performed to provide constant O2 supply and isoflurane supplementation (0.5-1%). After exposure of V1 via craniotomy, a high-resistance tungsten electrode was inserted to 300-400μm beneath the pial surface to cortical layer IV (L4). Transient VEPs in response to abrupt contrast reversal (100%, 1 Hz) of spatial frequency ranging from 0.05-0.5 cycles/degree were band-pass filtered (0.1-100 Hz), amplified, and fed to custom computer software where ≥20 events were averaged in synchrony with the stimulus contrast reversal. A non-linear regression between VEP amplitude and spatial frequency was plotted, and the visual acuity defined as the spatial frequency at which the regression line reaches zero.

Voltage-Sensitive Dye Imaging (VSDI) of A1 tonotopy

Mouse pups and mothers were placed in a sound-attenuating chamber and passively exposed to 7 kHz tones (100 ms pulses at 5 Hz for 1 s, followed by 2 s of silence, 80 dB SPL) generated by Audacity software.

The brain was sectioned peri-horizontally (600 µm, 15°) to preserve the ventral medial geniculate (MGBv) and its projection to the auditory cortex (A1)22. Thalamocortical brain slices were incubated for at least 90 minutes in the voltage-sensitive dye, Di-4-ANEPPS (Invitrogen D-1199, 5 μg/l). Six sites in the MGBv were activated with a glass pipette along the latero-medial axis (5 mA, 1 ms pulse; Iso-Flex, A.M.P.I.; spaced at 100 μm). Fluorescence signals (1 ms frame rate; 512 ms) were imaged from regions of interest (130 x 130 µm) along the rostro-caudal axis of A1 at a fixed distance from a reference (rostral point of hippocampus) and at constant depth from the pia, corresponding to upper L4. Excitation light from a shuttered LED (BrainVision) was reflected toward the slice. Emitted fluorescence was imaged using a MiCam Ultima CMOS-based camera (SciMedia) and fluorescence change normalized to resting fluorescence (ΔF/F0). Peak amplitude was defined as the maximum response across all L4 locations averaged over ten trials (MiCam Ultima analysis software). Individual time course traces were exported to Igor Pro (WaveMetrics) for analysis.

Acoustic preference behavior and open-field task

Mice were assessed for acoustic preference, first naïvely then again after music-exposure (2 weeks, Beethoven Symphony #1). The acoustic preference test23 was conducted using a Phenotyper 4500 (Noldus Information Technology), a 45 cm (width) × 45 cm (depth) × 45 cm (height) open arena with clear plastic walls viewed by means of a ceiling-mounted video camera and infrared lights and filters. Two diagonally opposing corners of the Phenotyper 4500 were chosen randomly and furnished with red, opaque plastic shelters bearing a side entrance. A small loudspeaker (1.6 cm diameter × 1 cm height) was installed on the ceiling of each shelter (6 cm high), where nesting and bedding materials were provided at the bottom (Figure 3d). To minimize ambient noise interference, the entire test setup was placed in an anechoic sound isolation chamber [inner dimensions: 55 cm (width) × 49 cm (depth) × 66 cm (height); Industrial Acoustics Company] with an ambient light source (8 W).

Figure 3
Altered experience-dependent acoustic preference in adult Otx2+/AA mice.

Each test was initiated by placing mice in the center of the arena and monitored for 3 h consecutively. The animals’ behavior was recorded by video camera, tracked, and analyzed using Ethovision XT software (Noldus Information Technology). Tests were conducted between 0900 and 1700 hours during the light phase to promote mouse dwelling in the shelters. All components of the test setup were wiped clean twice with Clidox solution, followed by 70% ethanol/30% purified water and ddH2O, and then air-dried between each trial. The positions of shelters and sound playback were randomized on each trial.

To assay preference, time spent in each shelter during the final 30 min was measured. Mice spending most (80%) of their time in open areas within the test arena but outside either shelter were labeled as having made “no choice” and dropped from further analysis. Preference for silence or for music was calculated, respectively, as (percentage) 100×(time in silent shelter/total time in both shelters) or 100×(time in music shelter/total time in both shelters). Animals spending 75% or more of their time in silent shelter were classified as preferring ‘silence’ while those spending 75% or more in music shelter were classified as ‘music’ and the remainder as ‘equal’. Overall activity in the open field was measured by center dwell dime, distance (cm) moved, and the number of center crossings during the first 30 min via video recording and quantification with Ethovision XT software.

Reverse transcription (RT) and quantitative polymerase chain reaction (qPCR)

Cortical tissue micro-dissection was carried out as previously described24. In brief, dissected tissues were snap frozen in liquid nitrogen, lysed in trizol reagent at 4°C and RNA extracted using the RNeasy Micro extraction kit (Qiagen). Genomic DNA was digested before elution from column. Isolated RNA was then subjected to quantification and purity check (Nanodrop). Equivalent amounts of RNA were subjected to reverse transcription using a high capacity RNA-to-cDNA kit (Applied Biosystems) to obtain cDNA. qPCR reactions were set up using Taqman Universal Master Mix (Applied Biosystems) and Taqman probes used as follows: Aggrecan, Brevican, Neurocan, Versican, TenascinR, Hapln1, Hapln4, Mme, Adamts4, Adamts8, Adamts15, MMP15, MMP24, Has1, Has2, Has3, CSGalNAcT1, C6ST-1, Ptprz1, Reln, PTPσ, RTN4R, SST, Calb1, Calb2, and Gapdh. All probes were FAM-conjugated except Gapdh which was VIC-conjugated serving as internal control. PCR reactions were performed on a StepOnePlus™ Real-Time PCR system (Applied Biosystems) in 96-well plates using a standard curve protocol. To quantify gene expression, standard curves loaded with known amount of cDNA were used for each probe. All results were internally normalized to Gapdh expression, then calculated with reference to standard curves by the StepOne Real-Time PCR systems software v2.1 (Applied Biosystems).

Statistical analysis

Wilcoxon signed-rank tests were used to compare before/after measures. Mann–Whitney U-tests (for data with non-normal distributions) and Student t-tests (for data with Gaussian distributions) were conducted for comparisons of two independent samples. Chi-square tests were performed for group comparisons in acoustic preference tests. Two-way ANOVA tests were used for analyzing (Voltage-Sensitive Dye Imaging (VSDI) results across cortical L4 locations and MGBv stimulus sites. Statistical analyses were performed using SYSTAT 13 (Cranes Software International) or GraphPad Prism 6.


Altered Otx2 protein localization and delayed PV and PNN expression in Otx2+/AA mouse V1

An arginine-rich GAG-binding motif spans the junction between the N-terminal and homeodomain in Otx2 (Figure 1a). This motif can be weakened through an R36A and K37A double mutation (RK to AA) that reduces affinity for GAGs15, which led us to construct an Otx2-AA knock-in mouse line (both heterozygous Otx2+/AA and homozygous Otx2AA/AA mice)21. Our previous study had revealed a gene dosage-dependent impairment of retinal structure21, as confirmed here by loss of visual acuity only in the Otx2-AA homozygous mutants (Supplementary Figures S1a-b). We therefore focused on the Otx2-AA heterozygous animals.

Figure 1
Delayed PV+ cell maturation and visual cortical plasticity in Otx2+/AA mice.

In layer IV of juvenile Otx2+/AA mouse V1, Otx2 protein levels were lower within each recipient cell compared to that of wild-type (WT) littermates, while the number of PNN-bearing cells (positive for Wisteria Floribunda Agglutinin WFA staining), containing Otx2 did not change (Supplementary Figure S1e). Notably, Otx2 failed to accumulate dramatically in PNN-bearing cells during juvenile development up to P100 (Figure 1c). PNNs typically intensify during this period in WT mice, which is thought to consolidate plastic changes and provide a molecular ‘brake’ on CP closure1, 18. Concomitantly over this age range, Otx2 protein in WT mice increased significantly in WFA+ cells (Figure 1c), consistent with a positive feedback model that maturing PNNs condense to permit higher levels of Otx2 protein to accumulate15.

Instead, we found significantly increased accumulation of Otx2 protein in non-PNN-bearing cells (negative for WFA) of Otx2+/AA visual cortex (Figures 1b and e). This ectopic localization led to ~20% increase in the total number of Otx2+ cells (Figure 1d). In addition, these changes were more pronounced in Otx2-AA homozygous mutants indicating a dose-dependent effect (Supplementary Figures S1c-d). We further studied the identity of these cells that ectopically accumulated Otx2, and found that in Otx2+/AA mutants, there was a significant increase in Calretinin (CR)+ interneurons co-localizing Otx2, but not in pyramidal cells or other subtypes of inhibitory interneurons (Supplementary Figure S2a). However, mis-localization of Otx2 did not lead to changes in cell numbers or gene expression of these neural markers (Supplementary Figures S2b-c).

We then broadened the longitudinal time window over which we examined WFA and PV staining of V1 in layers IV and above, from P14 to P200 (Figures 1f-g). In Otx2+/AA mice, WFA intensity was significantly weaker between P20 to P60 compared to WT littermates. However, its level finally reached that of WT littermates by P100 (Figure 1f). PV staining was likewise lower in Otx2+/AA mice prior to P100 (Figure 1g), with significant differences measured at P30 and P40. While the intensities for both markers reached a plateau around P60 in WT mice, they did so only after P100 in Otx2+/AA mice. Taken together, the RK to AA mutation delayed PNN assembly and PV+ cell maturation, consistent with Otx2 protein mis-localization.

Normal baseline acuity but delayed visual plasticity in Otx2+/AA mice

Both PNN and Otx2 levels reflect postnatal neuronal activity14. Given that Otx2 regulates the development of embryonic forebrain25, 26 and eye27, reduced accumulation of Otx2-AA protein in the cortex could have been due to compromised retinal activity rather than lowered Otx2 affinity for the PNN. Although heterozygous Otx2+/AA mice show no gross developmental defects, homozygous Otx2AA/AA mice exhibit microphthalmia and anophthalmia with incomplete (15 %) penetrance21. This is mirrored by histological and physiological defects found in homozygous Otx2AA/AA mice, but not seen in heterozygous Otx2+/AA mice21. As baseline visual acuity was similar between WT and heterozygous Otx2+/AA mice throughout life (Supplementary Figure S1b), we restricted our functional analysis only to these mice for the subsequent study of cortical maturation and plasticity.

To assess the functional consequences of RK to AA mutation in CP timing, a brief 4-day monocular deprivation (MD) was followed by visual evoked potential (VEP) assessment of acuity at P30, P100 and P200 to match the delayed PV+ circuit development in Otx2+/AA mice. Strikingly, these mice lost acuity after MD only at P100, but not at P30 or P200 (Figure 1h, Supplementary Figures S3e-g). This timecourse was shifted as compared to WT mice, which showed typical visual plasticity at P30 but not later28 (Supplementary Figures S3a-d). Thus, the Otx2 GAG-binding motif is essential for the endogenous maturational trajectory of PV+ cells and consequent timing of CP plasticity in V1.

Delayed auditory plasticity in Otx2+/AA mouse A1 and mPFC

We next examined whether Otx2 RK to AA mutation might also affect timing of other CP events16. In mice, optimal auditory processing involves thalamocortical refinement in the days following hearing onset. During a brief 3-day window starting from P12, passive tone-rearing can modify response strength and topography in A122. Given the earlier emergence of PV+ cells in A1, it has been hypothesized that they also play a role in auditory CP plasticity29. In fact, Otx2 accumulates in PV+ cells of A1 similar to V116. Immunohistochemical analysis in Otx2+/AA mice also revealed a delayed PV+ cell maturation and Otx2 protein mis-localization at P20 after the typical auditory CP (Figures 2a-c).

Figure 2
Delayed auditory plasticity in Otx2+/AA mice.

Since Otx2+/AA mice exhibited normal auditory thresholds as measured by auditory brainstem response (ABR; Supplementary Figure S1f), we pursued further functional analyses. Using voltage-sensitive dye imaging in an acute thalamocortical brain slice preparation22, we found that late passive tone-rearing from P16-20 altered the topography in A1 of Otx2+/AA mice, at an age when WT littermates were no longer plastic22 (Figures 2d-g). Thus, targeted accumulation of Otx2 in PV+ cells also plays a role in regulating CP timing in A1.

Sequentially after this basic tonotopic plasticity, exposure to more complex acoustic stimuli (such as music) can shape lasting preference behaviors in mice. During a ten-day window starting at P15 (but not in adulthood), the mouse’s innate bias for silent shelter can be shifted in favor of music, revealing CP plasticity for this complex behavior23. Neurons in the mPFC concurrently develop a biased responsiveness in favor of the acquired music preference23. Immunohistochemistry again revealed a delayed PV+ cell maturation and broadly dispersed Otx2 protein in the mPFC of Otx2+/AA mice at P60 (Figures 3a-c), suggesting a potential delay in this higher cognitive CP.

Using a nesting paradigm requiring no training and free of confounding olfactory, visual or tactile cues (Figure 3d), we found that music exposure for two weeks at P60 successfully reversed the innate preference for silent shelter only in Otx2+/AA mice (Figure 3e). Acquisition of preference behavior is related to other limbic functions of mPFC circuits23, 30. Here too, we found that the delayed acquisition of a music preference in adulthood was linked to anxiolysis. The duration and number of center crossings during the first 30-minute exploratory phase in the open field were increased after music exposure (Figures 4a-c). In addition, the Otx2+/AA mice showed increased cFos activity in mPFC following music exposure at P60 as compared to WT mice (Figures 4d-f, Supplementary Figure S4), which was seen only if the mice were exposed to music (Supplementary Figures S5a-c). Specifically, the percentage of Otx2+ cells co-stained with cFos was also increased in Otx2+/AA mice only after music exposure (Figure 4g, Supplementary Figure S5d), accounting for a subset of cells engaged by the music. Taken together, the same Otx2+/AA mice carry a delayed CP plasticity across multiple brain regions.

Figure 4
Anxiolysis and recruitment of mPFC circuits following music exposure in Otx2+/AA mice.

Persistent turnover of PNN components in Otx2+/AA mouse cortex

To investigate a molecular correlate underlying the shifted plasticity profile in Otx2+/AA mice, we examined PNN integrity in further detail. This complex extracellular matrix structure integrates a variety of components31, including: 1) core proteins (aggrecan, brevican, neurocan, versican, tenascinR)32, 33; 2) link proteins (Hapln1,4)34; 3) membrane-bound chondroitin sulfate proteoglycan (CSPG) receptors (PTPσ, RTN4R)3537; 4) enzymes responsible for the construction (CSGalNAcT1; Has1,2,3)32, 38; and 5) degradation (Adamts4,8,15; MMP15,24; Mme)3941 or modification (C6ST-1, Ptprz1, Reln)19, 32, 39 of the PNN. We, therefore, directly compared expression levels in a sensory and prefrontal area across a panel of these 22 PNN-related genes using RT-qPCR of micro-dissected brain homogenates from WT and Otx2+/AA mice.

Remarkably few genes were altered during ectopic plasticity in V1 at P100 (Figure 5a) and PFC at P60 (Figure 5b) of Otx2+/AA mice. Notably, core (aggrecan or brevican) and link proteins (Hapln1 or 4) were elevated in both areas. Proteases were also elevated in the PFC, such as Adamts8 and MMP15, while the latter was reduced in V1. Region-specific changes were seen for Has2 in V1 and CSPG receptors (PTPσ, RTN4R) in PFC. No other PNN-related genes were altered significantly by the Otx2 RK to AA mutation. These results suggest a dynamic turnover of particular PNN components across brain regions due to Otx2 mis-localization, consistent with delayed plasticity reminiscent of the juvenile brain.

Figure 5
PNN turnover and ectopic Otx2 accumulation in Otx2+/AA mice.

Overall, Otx2-AA protein was mis-localized to one class of non-PNN-bearing cell type (Figure 5c-d), the CR+ interneuron identified previously14. It is possible that CSPGs not visible by WFA staining enwrap these cells. Nevertheless, the ectopic Otx2 in CR+ cells neither altered CR expression (Figure 5e-f) nor compensated for the depleted PV+ cells, as CP timing was delayed across brain regions.


In the mature neocortex, PV+ cells are enwrapped by a specific extracellular structure, the PNN. Interestingly, direct modification of this structure18 or its GAG components19 extends or reopens windows of cortical plasticity. The PNN environment is enriched in sugar-protein complexes like CSPGs. Infusion of small peptides containing the RK motif found in Otx2 can focally disrupt GAG binding and deplete mature PV+ cells of their Otx2 content to reopen CP plasticity in adult V115. However, this motif may not be unique to Otx2, and PNNs are known to bind a variety of other growth factors, chemokines and axon guidance molecules29.

Here, we provide genetic evidence that disrupting the essential GAG-binding motif within endogenous Otx2 alone leads to its mis-localization and attenuates its accumulation in PV+ cells. Although we cannot rule out some role for elevated Otx2 specifically in CR+ cells, none has been identified to date for CP brain plasticity. Instead, we have previously proposed a two-threshold model in which Otx2 controls both the opening and closure of a visual CP through a PV+ cell positive feedback loop16, 42. In brief, a nascent PNN surrounding PV+ cells attracts Otx2, which in turn promotes further maturation of the PNN. Our analysis of the Otx2-AA mice supports this model and extends it across multiple brain regions.

Attenuated accumulation (~20% decrease) of Otx2 protein in PV+ cells of V1, A1 and mPFC was sufficient to delay PNN and PV expression and alter CP timing. Instead, development of visual acuity per se was normal in V1 of Otx2+/AA mice despite having an altered CP, consistent with these features being dissociable28. Recently, PV+ cell-intrinsic Clock signaling was found to contribute to CP onset43, suggesting that once internalized, Otx2 interacts with such mechanisms to fine-tune CP timing. Conversely, plasticity offset is not simply revealed by the structural presence of PNNs, as V1 remained functionally plastic in Otx2+/AA mice at P100 even though WFA, PV and Otx2 staining intensity levels were near WT. Rather, the biochemical PNN composition was still found to be dynamic. Ultimately, Otx2 may serve as a ‘master key’ so that other molecules could bind to the emerging net, like NARP44, Sema3A45 and metallopeptidases39, which together impact PV+ cell physiology to control plasticity.

At a molecular level, Otx2 signaling was found to regulate PNN core, link and proteolytic proteins known to be produced by PV+ cells32, 39, 46, including Aggrecan, Hapln1/4 and Adamts8. The role of link protein in stabilizing the interaction between aggrecan, versican and hyaluronan to form aggregates is well established34. These genes typically follow a downward trajectory throughout development, suggesting a reduced turnover of these components upon PNN consolidation by internalized Otx2. Indeed, increased expression of PNN-associated genes was observed in Otx2+/AA mice in both V1 at P100 and mPFC at P60 when plasticity levels were high. Elevated PTPσ and RTN4R in the PFC of Otx2+/AA mice at P60 further suggest CSPG receptor compensation for the loss of their ligands. Notably, C6ST-1 (a determinant of immature sulfation patterns in the PNN related to the open CP in juvenile V1)19 was unaffected. Ultrastructural and functional dynamics of PNNs after Otx2 mis-localization observed here could be pursued by novel imaging techniques in the future47.

Our genetic model reveals that non-cell autonomous Otx2 regulates plasticity broadly across cortical modalities. In Otx2+/AA mice, PV+ cell maturation was delayed throughout the neocortex and ectopic windows of cortical plasticity arose in occipital, parietal and frontal areas, including A1 and mPFC. This is consistent with a global source of Otx2 coordinating CP timing across brain regions. We previously identified the choroid plexus as one such central Otx2 source16. Whether misaligned CP trajectories across brain regions give rise to cognitive consequences will be of great interest. For example, Otx2 signaling may orchestrate complex behaviors reflecting the interplay of multiple sequential CP, such as language48 and many mental disorders49.

Disrupted Otx2 signaling and its consequences may in fact be a hallmark of psychiatric and intellectual disorders6, 13, 50. Multisensory integration in the insular cortex is compromised along with PV+ circuits and their PNNs in mouse models of autism spectrum disorders51. PNN density is low in the amygdala, entorhinal and prefrontal cortices of schizophrenia patients5254 and high in the motor cortex of patients with Rett Syndrome55, 56. Weakened PV+ circuits in the mPFC cause deficits in social behavior57 and behavioral aspects of schizophrenia in both mouse models58 and patients5861. Gene expression in the choroid plexus is altered in major depressive disorders62, and deficits in circadian genes63 as well as Otx2 polymorphisms17 are associated with bipolar disorders.

One common hub of impairment in these illnesses is elevated oxidative stress11, which may normally be buffered by homeoproteins64, like Otx2, and Clock genes43 in PV+ cells. This suggests potential therapeutic strategies for preserving or restoring PV+ cell function. Moreover, extending CP plasticity in the mPFC of Otx2+/AA mice enabled music to reduce anxiety in adulthood (Figure 4). Potential beneficial effects of judiciously manipulated brain plasticity paired with behavioral therapies65 may then be promising avenues for psychiatric disorders.

Supplementary Material

Supplementary Figure S1

Supplementary Figure S2

Supplementary Figure S3

Supplementary Figure S4

Supplementary Figure S5

Supplementary materials and figure legends


We thank M. Nakamura for mouse maintenance; and support from NIH (1P50MH094271 and 1R01MH104488 to T.K.H.), the Italian Association for Cancer Research (AIRC) (grant IG2013 N° 14152 to A.S.) and Fondation Bettencourt Schueller, ERC Advanced Grant HOMEOSIGN n° 339379 and ANR (ANR-11-BLAN-069467) (to A.P.). H.H.C.L. and Z.Y. were further supported, respectively, by a post-doctoral fellowship from the Croucher Foundation (Hong Kong) and a Julius B. Richmond predoctoral fellowship.


Conflict of Interest

The authors declare no financial interest related to this work.


1. Hensch TK. Critical period plasticity in local cortical circuits. Nature reviews Neuroscience. 2005;6(11):877–888. [PubMed]
2. Hubel DH, Wiesel TN. The period of susceptibility to the physiological effects of unilateral eye closure in kittens. The Journal of physiology. 1970;206(2):419–436. [PubMed]
3. Wang BS, Sarnaik R, Cang J. Critical period plasticity matches binocular orientation preference in the visual cortex. Neuron. 2010;65(2):246–256. [PMC free article] [PubMed]
4. Sanke RF. Amblyopia. American family physician. 1988;37(2):275–278. [PubMed]
5. Fagiolini M, Hensch TK. Inhibitory threshold for critical-period activation in primary visual cortex. Nature. 2000;404(6774):183–186. [PubMed]
6. Gogolla N, Leblanc JJ, Quast KB, Sudhof TC, Fagiolini M, Hensch TK. Common circuit defect of excitatory-inhibitory balance in mouse models of autism. Journal of neurodevelopmental disorders. 2009;1(2):172–181. [PMC free article] [PubMed]
7. Lewis DA, Curley AA, Glausier JR, Volk DW. Cortical parvalbumin interneurons and cognitive dysfunction in schizophrenia. Trends in neurosciences. 2012;35(1):57–67. [PMC free article] [PubMed]
8. Kimoto S, Bazmi HH, Lewis DA. Lower expression of glutamic acid decarboxylase 67 in the prefrontal cortex in schizophrenia: contribution of altered regulation by Zif268. The American journal of psychiatry. 2014;171(9):969–978. [PMC free article] [PubMed]
9. Uchida T, Furukawa T, Iwata S, Yanagawa Y, Fukuda A. Selective loss of parvalbumin-positive GABAergic interneurons in the cerebral cortex of maternally stressed Gad1-heterozygous mouse offspring. Translational psychiatry. 2014;4:e371. [PMC free article] [PubMed]
10. Failor S, Nguyen V, Darcy DP, Cang J, Wendland MF, Stryker MP, et al. Neonatal cerebral hypoxia-ischemia impairs plasticity in rat visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2010;30(1):81–92. [PMC free article] [PubMed]
11. Do KQ, Cuenod M, Hensch TK. Targeting Oxidative Stress and Aberrant Critical Period Plasticity in the Developmental Trajectory to Schizophrenia. Schizophrenia bulletin. 2015;41(4):835–846. [PMC free article] [PubMed]
12. LeBlanc JJ, Fagiolini M. Autism: a "critical period" disorder? Neural Plast. 2011;2011:921680. [PMC free article] [PubMed]
13. Le Magueresse C, Monyer H. GABAergic interneurons shape the functional maturation of the cortex. Neuron. 2013;77(3):388–405. [PubMed]
14. Sugiyama S, Di Nardo AA, Aizawa S, Matsuo I, Volovitch M, Prochiantz A, et al. Experience-dependent transfer of Otx2 homeoprotein into the visual cortex activates postnatal plasticity. Cell. 2008;134(3):508–520. [PubMed]
15. Beurdeley M, Spatazza J, Lee HH, Sugiyama S, Bernard C, Di Nardo AA, et al. Otx2 binding to perineuronal nets persistently regulates plasticity in the mature visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2012;32(27):9429–9437. [PMC free article] [PubMed]
16. Spatazza J, Lee HH, Di Nardo AA, Tibaldi L, Joliot A, Hensch TK, et al. Choroid-plexus-derived Otx2 homeoprotein constrains adult cortical plasticity. Cell reports. 2013;3(6):1815–1823. [PMC free article] [PubMed]
17. Sabunciyan S, Yolken R, Ragan CM, Potash JB, Nimgaonkar VL, Dickerson F, et al. Polymorphisms in the homeobox gene OTX2 may be a risk factor for bipolar disorder. American journal of medical genetics Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics. 2007;144B(8):1083–1086. [PubMed]
18. Pizzorusso T, Medini P, Berardi N, Chierzi S, Fawcett JW, Maffei L. Reactivation of ocular dominance plasticity in the adult visual cortex. Science. 2002;298(5596):1248–1251. [PubMed]
19. Miyata S, Komatsu Y, Yoshimura Y, Taya C, Kitagawa H. Persistent cortical plasticity by upregulation of chondroitin 6-sulfation. Nature neuroscience. 2012;15(3):414–422. S411–412. [PubMed]
20. Bernard C, Prochiantz A. Otx2-PNN interaction to regulate cortical plasticity. Neural Plasticity. 2016;2016 [PMC free article] [PubMed]
21. Bernard C, Kim HT, Torero Ibad R, Lee EJ, Simonutti M, Picaud S, et al. Graded Otx2 activities demonstrate dose-sensitive eye and retina phenotypes. Human molecular genetics. 2014;23(7):1742–1753. [PubMed]
22. Barkat TR, Polley DB, Hensch TK. A critical period for auditory thalamocortical connectivity. Nature neuroscience. 2011;14(9):1189–1194. [PMC free article] [PubMed]
23. Yang EJ, Lin EW, Hensch TK. Critical period for acoustic preference in mice. Proceedings of the National Academy of Sciences of the United States of America. 2012;109(Suppl 2):17213–17220. [PubMed]
24. Saxena A, Wagatsuma A, Noro Y, Kuji T, Asaka-Oba A, Watahiki A, et al. Trehalose-enhanced isolation of neuronal sub-types from adult mouse brain. BioTechniques. 2012;52(6):381–385. [PMC free article] [PubMed]
25. Acampora D, Di Giovannantonio LG, Di Salvio M, Mancuso P, Simeone A. Selective inactivation of Otx2 mRNA isoforms reveals isoform-specific requirement for visceral endoderm anteriorization and head morphogenesis and highlights cell diversity in the visceral endoderm. Mechanisms of development. 2009;126(10):882–897. [PubMed]
26. Acampora D, Mazan S, Lallemand Y, Avantaggiato V, Maury M, Simeone A, et al. Forebrain and midbrain regions are deleted in Otx2-/- mutants due to a defective anterior neuroectoderm specification during gastrulation. Development. 1995;121(10):3279–3290. [PubMed]
27. Nishida A, Furukawa A, Koike C, Tano Y, Aizawa S, Matsuo I, et al. Otx2 homeobox gene controls retinal photoreceptor cell fate and pineal gland development. Nature neuroscience. 2003;6(12):1255–1263. [PubMed]
28. Kang E, Durand S, LeBlanc JJ, Hensch TK, Chen C, Fagiolini M. Visual acuity development and plasticity in the absence of sensory experience. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2013;33(45):17789–17796. [PMC free article] [PubMed]
29. Takesian AE, Hensch TK. Balancing plasticity/stability across brain development. Progress in brain research. 2013;207:3–34. [PubMed]
30. Garvert MM, Moutoussis M, Kurth-Nelson Z, Behrens TE, Dolan RJ. Learning-induced plasticity in medial prefrontal cortex predicts preference malleability. Neuron. 2015;85(2):418–428. [PMC free article] [PubMed]
31. Wang D, Fawcett J. The perineuronal net and the control of CNS plasticity. Cell and tissue research. 2012;349(1):147–160. [PubMed]
32. Carulli D, Pizzorusso T, Kwok JC, Putignano E, Poli A, Forostyak S, et al. Animals lacking link protein have attenuated perineuronal nets and persistent plasticity. Brain : a journal of neurology. 2010;133(Pt 8):2331–2347. [PubMed]
33. Morawski M, Filippov M, Tzinia A, Tsilibary E, Vargova L. ECM in brain aging and dementia. Progress in brain research. 2014;214:207–227. [PubMed]
34. Oohashi T, Edamatsu M, Bekku Y, Carulli D. The hyaluronan and proteoglycan link proteins: Organizers of the brain extracellular matrix and key molecules for neuronal function and plasticity. Exp Neurol. 2015;274(Pt B):134–144. [PubMed]
35. Shen Y, Tenney AP, Busch SA, Horn KP, Cuascut FX, Liu K, et al. PTPsigma is a receptor for chondroitin sulfate proteoglycan, an inhibitor of neural regeneration. Science. 2009;326(5952):592–596. [PMC free article] [PubMed]
36. Dickendesher TL, Baldwin KT, Mironova YA, Koriyama Y, Raiker SJ, Askew KL, et al. NgR1 and NgR3 are receptors for chondroitin sulfate proteoglycans. Nature neuroscience. 2012;15(5):703–712. [PMC free article] [PubMed]
37. Stephany CE, Chan LL, Parivash SN, Dorton HM, Piechowicz M, Qiu S, et al. Plasticity of binocularity and visual acuity are differentially limited by nogo receptor. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2014;34(35):11631–11640. [PMC free article] [PubMed]
38. Sato T, Kudo T, Ikehara Y, Ogawa H, Hirano T, Kiyohara K, et al. Chondroitin sulfate N-acetylgalactosaminyltransferase 1 is necessary for normal endochondral ossification and aggrecan metabolism. J Biol Chem. 2011;286(7):5803–5812. [PMC free article] [PubMed]
39. Rossier J, Bernard A, Cabungcal JH, Perrenoud Q, Savoye A, Gallopin T, et al. Cortical fast-spiking parvalbumin interneurons enwrapped in the perineuronal net express the metallopeptidases Adamts8, Adamts15 and Neprilysin. Molecular psychiatry. 2015;20(2):154–161. [PMC free article] [PubMed]
40. Valenzuela JC, Heise C, Franken G, Singh J, Schweitzer B, Seidenbecher CI, et al. Hyaluronan-based extracellular matrix under conditions of homeostatic plasticity. Philosophical transactions of the Royal Society of London Series B, Biological sciences. 2014;369(1654):20130606. [PMC free article] [PubMed]
41. Zeisel A, Munoz-Manchado AB, Codeluppi S, Lonnerberg P, La Manno G, Jureus A, et al. Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq. Science. 2015;347(6226):1138–1142. [PubMed]
42. Prochiantz A, Di Nardo AA. Homeoprotein signaling in the developing and adult nervous system. Neuron. 2015;85(5):911–925. [PMC free article] [PubMed]
43. Kobayashi Y, Ye Z, Hensch TK. Clock genes control cortical critical period timing. Neuron. 2015;86(1):264–275. [PMC free article] [PubMed]
44. Gu Y, Huang S, Chang MC, Worley P, Kirkwood A, Quinlan EM. Obligatory role for the immediate early gene NARP in critical period plasticity. Neuron. 2013;79(2):335–346. [PMC free article] [PubMed]
45. Vo T, Carulli D, Ehlert EM, Kwok JC, Dick G, Mecollari V, et al. The chemorepulsive axon guidance protein semaphorin3A is a constituent of perineuronal nets in the adult rodent brain. Molecular and cellular neurosciences. 2013;56:186–200. [PubMed]
46. Giamanco KA, Matthews RT. Deconstructing the perineuronal net: cellular contributions and molecular composition of the neuronal extracellular matrix. Neuroscience. 2012;218:367–384. [PMC free article] [PubMed]
47. Tsien RY. Very long-term memories may be stored in the pattern of holes in the perineuronal net. Proceedings of the National Academy of Sciences of the United States of America. 2013;110(30):12456–12461. [PubMed]
48. Werker JF, Hensch TK. Critical periods in speech perception: new directions. Annual review of psychology. 2015;66:173–196. [PubMed]
49. Meredith RM, Dawitz J, Kramvis I. Sensitive time-windows for susceptibility in neurodevelopmental disorders. Trends in neurosciences. 2012;35(6):335–344. [PubMed]
50. Maeda N. Proteoglycans and neuronal migration in the cerebral cortex during development and disease. Frontiers in neuroscience. 2015;9:98. [PMC free article] [PubMed]
51. Gogolla N, Takesian AE, Feng G, Fagiolini M, Hensch TK. Sensory integration in mouse insular cortex reflects GABA circuit maturation. Neuron. 2014;83(4):894–905. [PMC free article] [PubMed]
52. Berretta S, Pantazopoulos H, Markota M, Brown C, Batzianouli ET. Losing the sugar coating: Potential impact of perineuronal net abnormalities on interneurons in schizophrenia. Schizophrenia research. 2015 [PMC free article] [PubMed]
53. Mauney SA, Athanas KM, Pantazopoulos H, Shaskan N, Passeri E, Berretta S, et al. Developmental pattern of perineuronal nets in the human prefrontal cortex and their deficit in schizophrenia. Biological psychiatry. 2013;74(6):427–435. [PMC free article] [PubMed]
54. Pantazopoulos H, Woo TU, Lim MP, Lange N, Berretta S. Extracellular matrix-glial abnormalities in the amygdala and entorhinal cortex of subjects diagnosed with schizophrenia. Archives of general psychiatry. 2010;67(2):155–166. [PMC free article] [PubMed]
55. Krishnan K, Wang BS, Lu J, Wang L, Maffei A, Cang J, Huang ZJ. MeCP2 regulates the timing of critical period plasticity that shapes functional connectivity in primary visual cortex. Proc Natl Acad Sci U S A. 2015;112(34):E4782–91. [PubMed]
56. Belichenko PV, Hagberg B, Dahlstrom A. Morphological study of neocortical areas in Rett syndrome. Acta neuropathologica. 1997;93(1):50–61. [PubMed]
57. Yizhar O, Fenno LE, Prigge M, Schneider F, Davidson TJ, O'Shea DJ, et al. Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature. 2011;477(7363):171–178. [PMC free article] [PubMed]
58. Brown JA, Ramikie TS, Schmidt MJ, Baldi R, Garbett K, Everheart MG, et al. Inhibition of parvalbumin-expressing interneurons results in complex behavioral changes. Molecular psychiatry. 2015 [PMC free article] [PubMed]
59. Akbarian S, Kim JJ, Potkin SG, Hagman JO, Tafazzoli A, Bunney WE, Jr, et al. Gene expression for glutamic acid decarboxylase is reduced without loss of neurons in prefrontal cortex of schizophrenics. Archives of general psychiatry. 1995;52(4):258–266. [PubMed]
60. Hashimoto T, Volk DW, Eggan SM, Mirnics K, Pierri JN, Sun Z, et al. Gene expression deficits in a subclass of GABA neurons in the prefrontal cortex of subjects with schizophrenia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2003;23(15):6315–6326. [PubMed]
61. Glausier JR, Fish KN, Lewis DA. Altered parvalbumin basket cell inputs in the dorsolateral prefrontal cortex of schizophrenia subjects. Molecular psychiatry. 2014;19(1):30–36. [PMC free article] [PubMed]
62. Turner CA, Thompson RC, Bunney WE, Schatzberg AF, Barchas JD, Myers RM, et al. Altered choroid plexus gene expression in major depressive disorder. Frontiers in human neuroscience. 2014;8:238. [PMC free article] [PubMed]
63. Roybal K, Theobold D, Graham A, DiNieri JA, Russo SJ, Krishnan V, et al. Mania-like behavior induced by disruption of CLOCK. Proceedings of the National Academy of Sciences of the United States of America. 2007;104(15):6406–6411. [PubMed]
64. Rekaik H, Blaudin de The FX, Fuchs J, Massiani-Beaudoin O, Prochiantz A, Joshi RL. Engrailed Homeoprotein Protects Mesencephalic Dopaminergic Neurons from Oxidative Stress. Cell reports. 2015;13(2):242–250. [PMC free article] [PubMed]
65. Yinger OS, Gooding L. Music therapy and music medicine for children and adolescents. Child and adolescent psychiatric clinics of North America. 2014;23(3):535–553. [PubMed]
66. Prusky GT, Alam NM, Beekman S, Douglas RM. Rapid quantification of adult and developing mouse spatial vision using a virtual optomotor system. Investigative ophthalmology & visual science. 2004;45(12):4611–4616. [PubMed]
67. Abdeljalil J, Hamid M, Abdel-Mouttalib O, Stephane R, Raymond R, Johan A, et al. The optomotor response: a robust first-line visual screening method for mice. Vision research. 2005;45(11):1439–1446. [PubMed]