Abstract
Psychophysics and brain imaging studies in deaf patients have revealed a functional crossmodal reorganization that affects the remaining sensory modalities. Similarly, the congenital deaf cat (CDC) shows supra-normal visual skills that are supported by specific auditory fields (DZ-dorsal zone and P-posterior auditory cortex) but not the primary auditory cortex (A1). To assess the functional reorganization observed in deafness we analyzed the connectivity pattern of the auditory cortex by means of injections of anatomical tracers in DZ and A1 in both congenital deaf and normally hearing cats. A quantitative analysis of the distribution of the projecting neurons revealed the presence of non-auditory inputs to both A1 and DZ of the CDC which were not observed in the hearing cats. Firstly, some visual (areas 19/20) and somatosensory (SIV) areas were projecting toward DZ of the CDC but not in the control. Secondly, A1 of the deaf cat received a weak projection from the visual lateral posterior nuclei (LP). Most of these abnormal projections to A1 and DZ represent only a small fraction of the normal inputs to these areas. In addition, most of the afferents to DZ and A1 appeared normal in terms of areal specificity and strength of projection, with preserved but smeared nucleotopic gradient of A1 in CDCs. In conclusion, while the abnormal projections revealed in the CDC can participate in the crossmodal compensatory mechanisms, the observation of a limited reorganization of the connectivity pattern of the CDC implies that functional reorganization in congenital deafness is further supported also by normal cortico-cortical connectivity.
Introduction
Psychophysical and neuroimaging studies in both animal and human subjects have demonstrated that sensory deprivation from early developmental stages leads to a functional reorganization of the brain favoring the spared modalities [1]. Such crossmodal reorganization after sensory loss is based on plastic properties of the brain that allow adaptation to changes in the sensory environment (reviewed [2], [3]). The behavioral consequence of the crossmodal compensation is an enhancement of the perceptual skills in the remaining modalities. In early deaf subjects numerous psychophysical studies revealed visual abilities that surpass those normally reported in hearing subjects [4], while such improvements were rather limited to an enhanced "reactivity" to visual events [5] and might more specifically concern attention [6]. Such crossmodal compensation of perception is accompanied by functional reorganizations [7] expressed as a colonization of the deprived cortical areas by the remaining modalities. Brain imaging studies in deaf individuals have revealed that some deprived auditory areas can be activated by visual speech information such as sign language and lipreading [8]–[10] or even simple visual moving stimuli [11].
Animal models of sensory loss provide similar observations to those described in deaf or blind human subjects. Recently, area-specific visual compensations have been demonstrated in an animal model of congenital deafness – the congenitally deaf cat [12]. The congenitally deaf cat (CDC) suffers from a degeneration of the inner ear at birth while the auditory nerve is preserved, making these animals a good model to study cortical plasticity induced by congenital deafness and chronic stimulation with cochlear implants [13], [14]. Using a large battery of behavioral visual paradigms, it has been demonstrated that the CDCs have acquired specific visual compensation: firstly, the deaf cats show visual localization which exceeds hearing cats in the most peripheral visual field (60–90° eccentricity; [12]). Secondly, in the CDCs, the threshold for movement detection of a visual target is significantly lower than that reported in control cats (ibid.). Further, using a cooling device to inactivate restricted cortical areas, the study revealed that this visual compensation is supported by “auditory“ fields DZ (dorsal zone) and P (posterior auditory cortex). Altogether, this work, in agreement with human studies [15], [16], attests that crossmodal compensation following blindness or deafness is based on the recruitment of the cortical areas deprived of sensory inputs. In the deaf cats the visual compensation can thus be assigned to specific auditory areas [12].
The neuronal mechanism underlying such crossmodal cortical reorganization is still poorly understood. A common hypothesis postulates that crossmodal compensation following congenital sensory loss relies on the reorganization of the brain connectivity during the early stages of cortical maturation [17]. In support to this is the observation of altered cortical and thalamic connectivity of the brain of experimental animal models of blindness [18]–[20]. In case of congenital deafness, the knowledge of the anatomical substrate responsible for crossmodal compensation is limited [21], [22], while recent work in human suggests that it can involve different stages of visual processing down to the retina [23].
Two assumptions can be proposed that would account for crossmodal reorganization after congenital deafness. Crossmodal compensation might results from a reorganization of the connectivity of the auditory areas at either cortical or subcortical levels. Alternatively, functional reorganization could rely on changes in synaptic efficiency of normal, existing connections such as the heteromodal connections recently described. In order to answer this question, we performed an anatomical study to analyze the changes in connectivity pattern of the deafferented auditory cortex of adult congenitally deaf cats [12]. A histological analysis was performed by means of injections of anatomical tracers in adult CDC. Based on the previous behavioral study in deaf cats [12] we targeted the area DZ, known to be cross-modally reorganized in CDCs [12]. While similarly to area DZ, the posterior auditory cortex P is involved in crossmodal compensation, we did not perform dye injections into this area. This was motivated by the strategy of analyzing the entire connectivity targeting DZ and A1 including the projection arising from field P which would have been not available after receiving such an injection.
The involvement of the primary auditory area A1 in visual crossmodal reorganization remains controversial in humans and is probably negligible. In deaf patients some studies reported activation in secondary auditory areas but not in A1 during visual sign language or speechreading [10], [24] while other studies found that at least part of A1 can be activated by simple moving visual stimuli [11]. In the deaf cat, single unit recording in A1 failed to reveal visual responses [25], [26] while it was previously observed using ERPs recording [27]. Further, when the primary auditory cortex A1 was transiently inactivated, it did not affect the visual performances of the CDC [12]. In contrast, after the cooling of auditory area DZ, the performances of the deaf cats in movement detection dropped off to the level observed in hearing cat. In consequence, based on these functional considerations observed in the deaf cat, at the connectivity level we might expect that A1 and DZ will be differently affected by the congenital deafness.
Methods
Ethics Statement
All experimental protocols, including care and surgery of animals, were performed in strict accordance with the recommendations of the German state authorities on the use of laboratory animals. The protocol was approved by the Committee on the Ethics of Animal Experiments of the University of Hamburg (Office of Health and Consumer Protection of the State of Hamburg, permit number #23/06) and complied with guidelines of the European Ethics Committee on Use and Care of Animals.
Surgical procedures and injections of retrograde tracers
Normal-hearing cats (NHC, controls) and congenitally deaf cats (CDC) were obtained from the breeding colony of the University Clinics Hamburg-Eppendorf. The present study is based on 16 injections of retrograde dyes performed in four adult cats, 2 normal and 2 congenitally deaf cats. All animals were adult (more than one year old). The deafness of the CDCs was established during a screenings at the age of 4 weeks by the absence of auditory-evoked brainstem responses (ABRs) to clicks and tone-pips of intensities up to 125 dB SPL. These deaf animals show a Scheibe-type of cochlear dysplasia, including complete loss of inner and outer hair cells, displacement of the tectorial membrane, collapse of the Reissner's membrane, but a good preservation of the spiral gangion cells (reviewed in [24]).
Prior to surgery, the animals were preanaesthetized with ketamine (24.5 mg/kg), xylazine (2.1 mg/kg) and atropine (0.2 mg/kg) i.m. Dexamethasone (0.3 mg/kg) was also administrated to prevent cerebral oedema. During surgery, heart rate, respiration rate and body temperature were monitored, the latter being maintained at 38°C using an electronically-controlled heating blanket. The anesthesia level was continuously checked based on physiological parameters (respiration rate, ECG, heart rate and capnometry, including acoustic alarms if the parameters exceeded the physiological range) and the presence of an areflexic state (checked in 15–20 minutes intervals). If necessary, additional doses of ketamine hydrochloride (12 mg/kg) were administrated. The head of the animal was then fixed in a holder. The skin was cut, the temporal muscle retracted, and a craniotomy performed above the auditory cortex and the dura mater was opened. Anatomic landmarks, in particular the suprasylvian sulcus (SSS), the anterior and posterior ectosylvian sulcus (AES and PES) were used to guide the injections of tracers in the different areas of interest. Because of the variability in the cerebral cat sulci of the cat [28], the success in injecting correctly the dye in A1 or DZ was verified by analyzing the pattern of retrogradely labeled cells in the thalamic nuclei with respect to the published data [29]. During surgery, the brain was photographed for documentation of the injections positions.
After completion of injections an artificial dura was positioned over the exposed cortex, the bone of the skull was put back and then covered by dental acrylic. The temporalis muscles and the skin were sutured. Each animal was monitored closely during 10–11 days survival time corresponding to the optimal period for the transport of the tracers. The animals recovered within 48 hours and, if required, received subcutaneous injections of fluids (physiological NaCl solution).
The animals received, in both hemispheres, injections of different retrograde tracers (see table 1 for details and Fig 1–3 for illustration of individual injections). In each animal, we used 4 different types of retrograde dyes with similar sensitivities and characteristics [30], [31]: fast blue (FB), di-amino yellow (DY), fluororuby (FR) and fluoroemerald (FE). Hamilton syringes, in some cases equipped with a glass micropipette (50–90 µm inner diameter) were used to inject 0.3–1 µl of retrograde fluorescent tracers: fast blue (FB-3% in NaCl), di-amino yellow (DY-3% in NaCl), fluororuby (FR-10% in H2O) and fluoroemerald (FE-10% in H2O). Using a syringe holder attached to the head holder frame, the injections were made perpendicularly to the cortical surface at a depth of about 600–800 µm and consisted of single or multiple injections of dyes. In case of multiple injections, they were performed during a single penetration but at different cortical depth. Injections were performed ventrally at a distance of 1–3 mm to the SSS, caudally or rostrally at the level of the PES or AES. After the histological procedure, we localized the different injection sites in a region that identified as the dorsal region of the auditory cortex. This region is limited dorsally by the SSS, at 1–2 mm in front of the AES and caudally at the level of PES (figure 1–3).
Table 1. Description of the injection sites. FB: Fast Blue; DY: di-amino yellow, FE: fluoroemerald, FR: fluororuby.
Case | Hemisphere | Tracer (µl) | Area |
CT10-NHC | Left | FB simple (0.3) | A1 |
Left | DY simple (0.4) | A1 | |
Right | FR simple (0.8) | DZ | |
CT15-NHC | Left | FR simple (0.6) | A1 |
Right | FB simple (0.4) | DZ | |
Right | FE multiple (0.9) | DZ | |
CT11-CDC | Left | FB simple (0.5) | A1 |
Right | FE simple (0.5) | DZ | |
Right | FR simple (0.5) | DZ | |
CT16-CDC | Left | FR multiple (0.8) | A1 |
Left | FE multiple (0.9) | DZ |
The cerebral cortex of the cat [32] presents a large variability of location of the cortical regions with respect to the surface landmark (gyri and sulci). In our case we have placed our injection in areas A1 and DZ with respect to the SSS, AES and PES sulci. In our 4 experimental animals the dorsal AES-PES distance is of about 6.4±0.73 mm in agreement with previous observation [28]. Therefore, we are providing the location of the injection sites with respect to a normalized distance separating the AES and PAS succi (see Fig 1C and 2C).
Histological processing
After the survival period (10–11 days), animals were given a lethal dose of pentobarbital before being perfused intracardially with 0.9% saline containing 0.1% heparin, followed by 4% paraformaldehyde in phosphate buffer pH 7.4 (PB), and with PB sucrose solutions of increasing concentrations (10, 20 and 30%) for cryoprotection. Brains were immediately removed and put in a PB solution of 30% sucrose over night and until the histological processing. Frontal serial sections (40 µm thick) were made of freezing microtome. Alternate sections were reacted for neuronal alkaline phosphatase (NAP, [33], cytochrome oxydase (CO; [34], SMI-32 [35], [36] or stained with Cresyl Violet.
Data analysis
Sections were analyzed using light or fluorescent microscopy with a Leica microscope (DMR) equipped with a CCD camera. Each fluorescent dye presents a unique fluorochrome that under a specific excitation wavelength results in a specific emission wavelength that can be visualized with a specific filter. The characteristics of observation for each dye are: FB emission: 420nm, filter A Leica; DY emission: 390 nm, filter D Leica; FR emission: 580nm, filter L5 Leica; FE emission: 517 nm, filter N3 Leica.
Labeled neurons were counted based on the identification of a nucleus. For each cortical area the exact position of labeled neurons was computed on individual sections observed at regular intervals using Mercator software (Explora Nova). Sampling frequencies of analyzed sections were adjusted to the size of the areas containing labeled neurons (defined as the projection zone [37]). This allowed constructing two types of graphical representation of the data. First, we assessed the proportion (in %) of the number of labeled neurons in a given area with respect to the total of projecting cells observed in all areas projecting to the injection site. These values (% of fraction labeled neurons, [38]) are independent of the size of the injection site. Second, we constructed a density profile for the individual projections, representing the distribution of the number of retrogradely labeled neurons counted in individual sections across a cortical area. Area and laminar location of projection neurons was performed using the different adjacent sections stained with histological markers. The position of each section in the same animal was estimated using scale photography of the hemisphere and expressed with distance percentage.
The different thalamic and cortical areas were identified using differential histological staining patterns. Phosphatase alkaline and cytochrome oxidase activity associated to Nissl coloration permit to find the limits between many areas. For example, in the thalamus, the location of the ventral nuclei of the medial geniculate body (MGv) was defined using multiple criteria. A dark CO and NAP background staining labels the latero-ventral area that correspond to the MGv. In Nissl staining, the MGv presents a biggest neuron density compare to the others one. All of these patterns are illustrated in figures 4–6. In order to determine the localization of the injection sites, we used similar multiple criteria to define the limits between cortical areas including CO, NAP and Nissl staining and completed by the sulcal position (see figure 1–3). For example, the limit between A1 and the secondary auditory cortex (A2) was identified using the difference of the AP and CO background staining of the layer 4, which is darker in A1 compared to A2 (Fig 3C). A similar difference was observed when comparing A1 and DZ as in the later area the AP and CO staining in the layer 4 is weaker compared to that observed in A1 (Fig 3A). Finally, SMI-32 provides further distinction of the DZ/A1 border [35] based on the density of staining in the supragranular layers as well as the presence of large stained cells in layer V of DZ (Fig 3B and 3G). Using the combination of these staining techniques, the location of stained neurons and the position of the injections sites could be localized.
Results
The aim of the present study was to analyze the changes in the connectivity pattern of the auditory cortex induced by a congenital deafness. With the injection of retrograde dyes we targeted two main auditory areas, the dorsal zone and the primary auditory cortex A1. These two target areas were selected based on the behavioral study performed in deaf cats [12]. Compared to the primary auditory cortex A1, which is now well functionally defined (see [39] for review), less is known about the functional organization of the dorsal zone DZ. In cat DZ was initially designated as the dorso-posterior area DP, dissociated from A1 based on its absence of clear tonotopic organization [40]. The few electrophysiological studies performed described DZ neurons with broad frequency tuning and complex temporal firing properties [41]. A recent study suggests that DZ could be specifically involved in spatial localization to near-midline targets [42].
Injection sites
This study is based on 16 injections of different retrograde dyes performed on 4 cats, 2 NHCs and 2 CDCs. After careful analysis of the injection sites, 14 injections were used for the connectivity analysis and 2 were excluded from further analysis because they were too small to provide reliable assessment of the cortical connectivity.
DZ injections
The area DZ is located dorsal to A1 and extends approximately 75% of the total distance into the supra-sylvian sulcus SSS [43], [44]. We attempted to avoid very deep injections within the SSS so as to prevent a contamination of the area ALLS (anterolateral lateral suprasylvian area) located ventrally in fundus of the sulcus [45]. All the injections sites are described in Table 1 and figures 1–3.
In NHC, three restricted injections of retrograde dyes were performed in DZ, which are all illustrated in figure 1 G–H. In CT10-FR, the location was assigned to DZ. The site was dorsally close to the SSS and rostrally at half distance between the AES and PES. The site covered the cortical thickness but it encroached in the underlying white matter for less than 20% of it total length. Concerning the cases CT15-FB and CT15-FE (see fig 1H and 3D), the injections were identified in DZ and were similar to the previous one. The sites covered all laminar layers and were restricted to a region close to the cortical surface under the ventral circumvolution of the SSS. No contamination of the white matter was observed.
Three injections in the deaf cats were allocated to DZ. The injection CT16-FE was defined as a restricted DZ injection (Fig 2H). It was located ventrally to the SSS at 1 mm distance. This injection was small but covered all laminar layers. The figure 3 presents sections reacted for CO activity (3A) or stained for SMI-32 (3B) and confirms the restriction of this injection to area DZ without a clear encroachment into A1 or into the area ALLS located down in the sulcus. CT11-FE was also allocated to DZ, but involved the white matter for about 40% of the antero-posterior length (Fig 2G). In the antero-posterior axis, this injection was located caudally. Because the retrograde dye injection was restricted to upper part of the supra-sylvian sulcus, the involvement of area PLLS is improbable and if present at all it would have been very small. Concerning the last DZ injection case CT11-FR (Fig 2F), the injection site was defined as DZ mainly. It was positioned at 1 mm ventrally to the SSS and covered all laminar layers. In the rostrocaudal orientation the site was located rostrally at the half of the distance AES-PES. This injection covered all the layers from the cortical surface and the labeling disappeared deep in the sulcus close to the border between DZ and ALLS.
A1 injections
We injected retrograde dyes in A1 in 3 cases for NHC and 2 cases for CDC (see Table 1 and figures 1 and 2). Paired of parallel injections were performed in order to analyze the topographical organization of the thalamo-cortical projecting neurons as it provides important information on its nucleotopic organization.
In NHC, case CT10-FB, the FB injection was clearly within the cytoarchitectonic boundaries of primary auditory cortex A1 (Fig 1E, 3F) and involved all the thickness of the cortex, from pia to white matter near the injection deposit center. It was located at 3 mm ventrally to the SSS and at half distance of the AES-PES region. In the same animal, the retrograde injection covering all layers (CT10-DY) was anterior and adjacent to the previous one and close to the AES (Fig 1D), suggesting a possible small contamination of the Anterior auditory field (AAF). The third A1 injection (CT15-FR) was similar to the CT10-FB in term of its antero-posterior position but it was positioned more dorsally (2 mm ventral from the SSS, Fig 1F). As shown in figure 3C in a CO stained section, the injection was adjacent to the A1/DZ border without a contamination of the auditory dorsal zone DZ. All these injections including their size and location with respect to the main sulcis (AES and PES) are illustrated in Fig. 1 (D–F).
In CDCs we have considered 2 injections targeting A1. In case CT11-FB (Fig 2D), the core of the injection was located at 3 mm ventrally to the SSS and at the half of the distance AES-PES. Close examination of the pick-up zone suggests that a small encroaching of DZ cannot be excluded. All laminar layers were covered by the injection. In the case CT16-FR, the injection site was located in A1 and was adjacent to the previously described injection (Fig 2E). The injection was located at 1.5 mm ventrally to the SSS but at the level of the AES and thus it was located at the anterior limit between A1 and AAF. The SMI 32 staining (figure 3G) revealed that the injection site did not spread into the area DZ. All laminar layers were covered. The reconstructions on serial sections of these two injections sites are illustrated in figure 2 D–E.
Other injections
Three of the 14 injections performed in both CDC and NHC were not included in the quantitative analysis because their location was overlapping into two other areas. These 3 injections are described in the Supplementary Material S1 (Sup. Table 1–4 in S1). One injection in the NHC targeting DZ (CT10-FE) was entering deep into the sulcus and involved both DZ and ALLS. In the CDC, one injection (CT11-DY) was located anteriorly at the level of the AES and was assigned to both AAF and A1, while the case CT16-DY was in its majority located to AAF with some involvement of A1. These last 3 injections will be, however, used in the present study for specific illustration of the topographical organization of the connectivity pattern (see discussion and Supplementary Material S1). However, the labeled neurons resulting from these 3 injections are not included in the quantitative analysis.
Table 4. Cortical labeling. The number of neurons and the number of sections sampled are indicated.
A1 Injections | DZ Injections | |||||||||||||||||||||||
Group | NHC | CDC | NHC | CDC | ||||||||||||||||||||
Case | CT10 FB | CT10 DY | CT15 FR | CT11 FB | CT16 FR | CT10 FR | CT15 FB | CT15 FE | CT11 FR | CT11 FE | CT16 FE | |||||||||||||
Number of Neurons and Sections Used | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | ||
Areas | ||||||||||||||||||||||||
Tonotopic | A1 | /// | /// | /// | /// | /// | /// | /// | /// | /// | /// | 3298 | 21 | 125 | 8 | 684 | 8 | 1019 | 17 | 719 | 17 | 338 | 9 | |
AAF | 125 | 6 | 3022 | 8 | 584 | 3 | 486 | 8 | 1387 | 11 | 588 | 6 | 12 | 3 | 194 | 4 | 133 | 7 | 59 | 7 | 580 | 6 | ||
P | 48 | 3 | 240 | 4 | 344 | 5 | 153 | 4 | 38 | 4 | 17 | 3 | 187 | 3 | 186 | 3 | 11 | 5 | 36 | 5 | 1 | 1 | ||
VP | 52 | 3 | 558 | 3 | 114 | 5 | 93 | 5 | 3 | 2 | 43 | 3 | 75 | 3 | 2 | 5 | 39 | 5 | 1 | 1 | ||||
Ve | 5 | 2 | 38 | 3 | 125 | 2 | 105 | 5 | 0 | 2 | 5 | 3 | 8 | 2 | 21 | 2 | ||||||||
Number of neurons | 230 | 3858 | 1167 | 837 | 1425 | 3911 | 367 | 1139 | 1173 | 874 | 920 | |||||||||||||
Non Tonotopic | A2 | 201 | 9 | 2035 | 10 | 587 | 8 | 244 | 10 | 115 | 8 | 374 | 10 | 3 | 1 | 254 | 12 | 323 | 12 | 6 | 3 | |||
AES | 19 | 5 | 284 | 10 | 45 | 4 | 38 | 8 | 28 | 3 | 139 | 9 | 37 | 3 | 33 | 7 | 201 | 9 | 79 | 9 | 2 | 1 | ||
DZ | 131 | 13 | 1992 | 13 | 906 | 9 | 975 | 17 | 1145 | 13 | /// | /// | /// | /// | /// | /// | // | /// | /// | /// | /// | /// | ||
Number of neurons | 351 | 4311 | 1538 | 1257 | 1288 | 513 | 37 | 36 | 455 | 402 | 8 | |||||||||||||
Limbic | Te | 48 | 7 | 357 | 8 | 17 | 5 | 14 | 4 | 0 | 2 | 9 | 1 | 20 | 8 | 40 | 8 | 1 | 1 | |||||
Insula | 5 | 3 | 42 | 7 | 23 | 8 | 42 | 8 | 1 | 6 | 11 | 5 | 2 | 1 | 1 | 1 | 46 | 15 | 26 | 15 | ||||
35/36 | 25 | 9 | 43 | 26 | 60 | 26 | ||||||||||||||||||
Number of neurons | 53 | 399 | 40 | 81 | 1 | 11 | 11 | 1 | 109 | 126 | 1 | |||||||||||||
Temporal | ED | 59 | 6 | 103 | 7 | 67 | 5 | 2 | 2 | 10 | 3 | 57 | 6 | 49 | 7 | 8 | 2 | 440 | 14 | 369 | 18 | 27 | 5 | |
EI | 18 | 3 | 207 | 8 | 355 | 7 | 42 | 4 | 5 | 1 | 504 | 7 | 235 | 6 | 219 | 5 | 287 | 11 | 414 | 11 | 19 | 4 | ||
Ev | 14 | 4 | 161 | 8 | 22 | 6 | 9 | 3 | 5 | 4 | 39 | 6 | 14 | 2 | 5 | 3 | 502 | 19 | 129 | 19 | ||||
Number of neurons | 91 | 471 | 444 | 53 | 20 | 600 | 298 | 232 | 1229 | 912 | 46 | |||||||||||||
Parietal SSS | ALLS | 113 | 14 | 508 | 15 | 35 | 5 | 92 | 9 | 65 | 11 | 295 | 14 | 16 | 2 | 31 | 4 | 206 | 8 | 67 | 8 | 53 | 2 | |
AMLS | 2 | 2 | 5 | 1 | 1 | 1 | 1 | 2 | 3 | 3 | 1 | 1 | 54 | 7 | 2 | 7 | ||||||||
PLLS | 1 | 1 | 2 | 1 | 49 | 7 | 1 | 1 | 12 | 3 | 21 | 4 | 774 | 26 | 134 | 26 | 13 | 5 | ||||||
PMLS | 10 | 1 | 0 | 1 | 172 | 17 | 6 | 17 | 1 | 1 | ||||||||||||||
Number of neurons | 116 | 515 | 95 | 93 | 78 | 319 | 16 | 32 | 1206 | 209 | 67 | |||||||||||||
Posterior Ectosylvian Gyrus | 19 | 15 | 8 | 6 | 8 | |||||||||||||||||||
20 | 5 | 5 | 159 | 31 | 75 | 31 | 2 | 2 | ||||||||||||||||
21 | 48 | 7 | 13 | 7 | ||||||||||||||||||||
PS | 3 | 1 | 2 | 2 | 4 | 1 | 4 | 1 | ||||||||||||||||
Number of neurons | 3 | 7 | 226 | 98 | 2 | |||||||||||||||||||
Anterior AES | VAE | 9 | 10 | 21 | 10 | |||||||||||||||||||
S-IV | 4 | 5 | 8 | 5 | ||||||||||||||||||||
Number of neurons | 13 | 29 | ||||||||||||||||||||||
Somato-motor | 4 | 1 | 2 | 3 | 2 | 3 | ||||||||||||||||||
5 | 2 | 2 | 1 | 3 | 9 | 8 | 3 | 3 | 9 | 7 | 4 | 7 | ||||||||||||
6 | 13 | 7 | 4 | 7 | ||||||||||||||||||||
7 | 3 | 1 | 3 | 3 | 4 | 2 | 8 | 5 | 332 | 34 | 13 | 34 | 5 | 2 | ||||||||||
S2 | 1 | 1 | 4 | 2 | 3 | 3 | 2 | 3 | ||||||||||||||||
Number of neurons | 6 | 4 | 1 | 12 | 4 | 11 | 359 | 25 | 5 | |||||||||||||||
Others | PFC | 2 | 2 | 5 | 4 | 10 | 6 | 2 | 1 | 4 | 4 | 75 | 16 | 43 | 16 | |||||||||
CG | 2 | 2 | 0 | 1 | 12 | 8 | 6 | 2 | 11 | 6 | 73 | 28 | ||||||||||||
Number of neurons | 4 | 5 | 22 | 8 | 15 | 148 | 43 | |||||||||||||||||
Total Labeling | 841 | 9554 | 3297 | 2325 | 2825 | 5388 | 741 | 1466 | 4918 | 2718 | 1049 |
Distribution of projecting labeled cells in thalamic nuclei and cortical areas
We mapped the distribution of the retrogradelly labeled cells in the thalamic structures using the anatomical parcellation described by Imig and Morel [46], [47], see also [48], [49] for reviews). The aim of this study is to detect abnormal connectivity in CDC.
Thalamic projections
Thalamic inputs to A1
Dye injections in the primary auditory cortex A1 lead to a thalamic distribution of projection cells mainly in the medial geniculate body in normal hearing cats, as previously reported [29], [46], [47], [50], [51]. Here we found in the CDCs that thalamic cells projecting to DZ were primarily located in the MGB (medial geniculate body). A global inspection of the cell distribution revealed a similar pattern of thalamic projections in both groups (Fig 4A and Fig 5 and table 2). The ventral subdivision of the MGB (MGv) constitutes the predominant nucleus projecting to A1 in both the CDC and NHC (Table 3; Fig 5) in agreement with previous quantitative studies in normal hearing cats [29]. The remaining projections are originating principally from the dorsal and medial MGB subdivisions and from the lateral part of the posterior thalamic nuclei, PO.
Table 2. Quantitative analysis of the strength of projection to A1 and DZ with respect to the total number of cortical inputs.
To A1 | MGv | MGd | MGm | Po | SG | VB | LP | Pul | ||||||
Lee & Winner | ||||||||||||||
NHC | ||||||||||||||
CDC | ||||||||||||||
To DZ | MGv | MGd | MGm | Po | SG | VB | LP | Pul | ||||||
Lee & Winner 2008 | ||||||||||||||
NHC | ||||||||||||||
CDC | ||||||||||||||
To A1 | A1 | AAF | P | VP | Ve | A2 | AES | DZ | Te | In | ED | EI | Ev | Others |
Lee & Winner | ||||||||||||||
NHC | ||||||||||||||
CDC | ||||||||||||||
To DZ | A1 | AAF | P | VP | Ve | A2 | AES | DZ | Te | In | ED | EI | Ev | Others |
Lee & Winner | ||||||||||||||
NHC | ||||||||||||||
CDC | ||||||||||||||
>20% total | Between 5-20% total | Between 1–5% total | <1% total | >20% total | Between 5–20% total | Between 1–5% total | ||||||||
The data obtained in the present study in the normal (NHC) and deaf (CDC) cat are compared with the previous study of Lee and Winner 2008.
Table 3. Thalamic labeling. The number of neurons and the number of sections sampled are indicated.
A1 injections | DZ injections | ||||||||||||||||||||||
Group | NHC | CDC | NHC | CDC | |||||||||||||||||||
Case | CT10 FB | CT10 DY | CT15 FR | CT11 FB | CT16 FR | CT10 FR | CT15 FB | CT15 FE | CT11 FR | CT11 FE | CT16 FE | ||||||||||||
Number of Neurons and sampled Sections | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | |
MGD | 8 | 7 | 14 | 2 | 42 | 5 | 391 | 12 | 139 | 6 | 73 | 10 | 51 | 5 | 93 | 7 | 73 | 12 | 127 | 10 | 94 | 7 | |
MGM | 18 | 3 | 44 | 5 | 576 | 16 | 387 | 13 | 502 | 18 | 88 | 13 | 40 | 8 | 103 | 8 | 251 | 15 | 270 | 19 | 42 | 5 | |
MGV | 1399 | 17 | 1175 | 17 | 705 | 16 | 3131 | 19 | 601 | 12 | 381 | 15 | 61 | 12 | 215 | 14 | 65 | 9 | 333 | 17 | 146 | 10 | |
Po | 10 | 2 | 4 | 1 | 99 | 5 | 22 | 5 | 483 | 8 | 46 | 7 | 50 | 9 | 146 | 9 | 331 | 13 | 288 | 15 | 39 | 8 | |
SG | 18 | 7 | 8 | 2 | 120 | 11 | 15 | 8 | 11 | 3 | 13 | 1 | 307 | 13 | 113 | 11 | |||||||
VB | 29 | 17 | 3 | 2 | 19 | 9 | 1 | 1 | 1 | 1 | 13 | 3 | 1 | 1 | |||||||||
LP | 27 | 6 | 8 | 6 | 81 | 14 | |||||||||||||||||
Pul | 1 | 1 | |||||||||||||||||||||
Thalamic labelling | 1435 | 1237 | 1469 | 3969 | 1873 | 604 | 214 | 570 | 1040 | 1212 | 322 |
Analysis of the distribution of labeled cells indicates some disparities between the normal and the deaf cats with a tendency for a lower inputs density arising from the MGv and a stronger projection from PO in the CDC (Table 2). More importantly, in the CDCs we observed a specific projection from a visual thalamic nucleus, the lateral posterior (LP), which was not found in controls. This projection was observed for the two A1 injections in the CDCs (Fig 6). The projection was relatively weak, representing less than 1% of the overall thalamic inputs to A1 in the deaf cat. However, the projection zone was topographically well organized in the antero-posterior axis – the labeled neurons were not randomly scattered across the nucleus. Instead, the density profile of the labeled neurons showed the bell shape characteristics of a classical projection [37]. This projection may provide a weak non-auditory input directly to the auditory cortex of the deaf animals.
In each group, we have performed paired dye injections in the primary auditory cortex in two frequency representations. In the NHC (CT10), the FB-DY separation into A1 is of 1.6mm, while it is slightly greater in the CDC (CT11, 2.3mm). These separations, which correspond to the distances between dyes deposit centers, represent approximately a separation of approximately two octaves according to the tonotopic organization of the cat A1 [28], [51]. Because of the tonotopic organization of the MGv [46], this double injection resulted in a segregation of the projecting neurons in the thalamic nucleus as illustrated in the case of control cat (CT10 FB-DY, Fig 5A). Similarly, in the CDC a double injection performed in the middle (CT11-FB) and high frequency representations (CT11-DY, partially spilling over into AAF) resulted in a complete spatial separation of the projecting cells in the MGv, demonstrating a preserved nucleotopic organization. However, the projections were more spread than in NHC, corresponding to a functional smear of the cochleotopic gradient (compare [52], [53]). The complex topography of the distribution of labeled cells reflects the complexity of the frequency representation along the 3D dimension of the MGv [44], [46].
Thalamic inputs to DZ
In both normal and congenitally deaf cats the distribution of the thalamic projections directed toward DZ can be distinguished from that reported following an A1 injection. As previously reported [29], the DZ projections are more equally distributed across the different subdivisions of the MGB, which constitutes the principal source of projection toward the area DZ (Tables 2 and 3). Again the patterns of distribution were similar when comparing the controls and deaf cats (Fig 4B), including a strong projection arising from the posterior nucleus PO (above 20% in both groups). A specific set of retrogradely labeled cells in the visual thalamic nucleus LP was again found exclusively in deaf cats.
Cortico-cortical connections
The cortical auditory system of the cat is composed of several areas that can be defined anatomically by specific cytoarchitecture and connectivity patterns as well as electrophysiologically based on the frequency representation (tonotopic organization). In the present study we used the subdivisions of the auditory areas according to the recent work of Winer and colleagues [54]. For simplicity in the illustration, the charted neurons projecting to A1 (Fig 7) or DZ were grouped together into large classes of source areas (e.g. tonotopic and non-tonotopic, Fig 8, Fig 9 and 10), but the individual counts in the cortical regions are provided in table 4. Concerning the non-auditory areas, we have used the cortical parcellation of Scannell and col. [55].
Cortical inputs to A1
Following dye injections in the primary auditory cortex A1 of both controls and deaf cats, we observed a dense retrograde labeling throughout a large extent of the auditory cortex. In the rostro-caudal axis, projecting neurons were observed from the auditory anterior field (AAF) to the posterior ectosylvian gyrus. In both groups, labeled cells were observed dorsally in the DZ area as well as in the ventro-posterior auditory area (VP). Figure 7 illustrates the distribution of retrogradely labeled cells in serial sections distributed across the brain of a control (A) and a deaf cat (B). In both groups, the tonotopic (AAF, P, VP and Ve) and non-tonotopic (A2, AE, DZ) auditory areas constitute the principal inputs to A1 as they contain over 80% of the total of projecting cells (Fig 8). In both the CDCs and the NHCs, the bulk of projections to A1 originate from a limited number of auditory areas among them the anterior auditory field AAF, A2 and the dorsal zone DZ (Tables 2 and 4). Such pattern of auditory projections to A1 is highly consistent with that demonstrated in normal hearing cats (e.g. [56]). Outside theses main projections, A1 is receiving sparse inputs from various areas of the temporal cortex (TE, IN), of the polymodal posterior ectosylvian gyrus (ED, EI) and of the visuo-auditory areas buried in the suprasylvian sulcus (areas ALLS, AMLS, PLLS, PMLS). In theses later cases, the individual proportions originating from a specific area might vary when comparing the NHCs and CDCs, but the limited number of cases precludes the application of statistical tests on these differences.
All together, the comparison of the connectivity pattern of A1 in CDCs did not substantially differ from that observed in the controls. We did not observe any abnormal cortical projection to A1 in deaf cats that was not present in the control group and has not been previously reported in the literature.
Cortical inputs to DZ
We performed three injections of dyes in each group of cats. In both the normal and deaf cats we found the majority of inputs to DZ were located in the tonotopic auditory areas. These projections constituted over 50% of the total of afferents to DZ, especially from the areas A1 and AAF [43], [56], [57]. Further, the posterior areas ED, EI and EV composed the second largest set of cortical projections to the dorsal zone. In consequence, as illustrated by the distribution of charted projecting neurons across the auditory areas (Fig 9) as well as the comparison of strength of projection (Fig 10, Tables 2 and 4), the connectivity patterns of DZ were rather similar between the deaf and the normal cats.
However, we observed some consistent novel projections to DZ in deaf cats not present in normal hearing cats. These “abnormal” connections arose from areas that are considered either visual or somatosensory, but are not associated to the auditory system. All together, these abnormal projections in the deaf cat represent less than 6% of the total of inputs to DZ and the individual contribution of specific areas is quite low. Among them, the visual areas of the ventral posterior ectosylvian gyrus constitute the main source of abnormal projections to DZ in the deaf cat.
In deaf cats, novel topographically organized cortico-cortical connections from non-primary sensory areas 19-20a-20b/21 to the DZ were observed (Fig 11, table 4). It is important to note that in the CDCs, the injections of dyes in A1 did not lead to labeled neurons in these areas, making these projections specific to DZ. No labeled cells were observed in these visual regions of normal cats, neither after DZ nor A1 injections. In addition, in the normal cat, one DZ injection was analyzed separately because it was largely spanning into the visual area ALLS in the fundus of the sulcus (case CT10-FE, Supplementary Material S1, Sup. Table 3). In this case, we did not observe a projection from the areas 19 and 20a/20b. Thus, methodological reasons for this projection are unlikely. The weight of this reorganized visuo-auditory pathway is weak, but it also does not correspond to scattered projecting neurons, as can be seen from the topographical organization of the charted neurons (Fig 11). The projection zone shows the typical density profile of a cortical projection with a bell-shaped peak of density in the center and minimal values in the periphery [37].
A second set of novel topographically organized cortico-cortical connections to DZ in deaf cats originated from non-primary areas AMLS and SIV. The dorsal rim of the anterior end of the anterior ectosylvian sulcus (AES) hosts the somatosensory area SIV. It is located ventrally to the secondary somatosensory area (SII, [58]). We observed retrogradely labeled neurons in the area SIV of the deaf cat following the DZ injection (Fig 12). In addition, labeled neurons were observed further ventrally below the area SIV in a region that might encompass the para-SIV subdivision [58] and the multisensory orbito-insular region [59]. In normal hearing cats, the three injections performed in DZ did not reveal any projecting neurons in this somatosensory area. Again, the weight of this abnormal projection in the CDCs was low and represented less that 1% of the total of afferents to DZ.
Finally, we observed some non-auditory projections to DZ that originated from the middle suprasylvian gyrus, a cortical region corresponding to the visuomotor parietal area 7 [60], [61]. Such projection was present in both groups of animals. However, the strength of projection in the controls was negligible, as we observed only few scattered projecting neurons. Many more cells in areas 7 and AMLS were connected to the DZ in the CDC animals as compared with normal hearing animals. As the injections sites were comparable across the two groups, it is probable that the increased number of projecting neurons from the parietal cortex to DZ is an additional specific feature of the deaf cat.
Callosal connectivity
We have analyzed the distribution of the projecting neurons located in the hemisphere contralateral to the injections sites. For both A1 and DZ we observed that the majority of inputs arose from the homotopic areas (Table 5). Following the injections in A1, we observed a predominant proportion of labeled cells in the contralateral A1 (controls: 70%; deaf: 65%). The callosal connectivity of A1 originated predominantly from the tonotopic auditory areas (90% in NHCs and 80% in CDCs). No specific difference was observed between the normal and the deaf cats.
Table 5. Callosal cortical labeling. The number of neurons and the number of sections sampled are indicated.
A1 Injections | DZ injections | |||||||||||||||||||||
Group | NHC | CDC | NHC | CDC | ||||||||||||||||||
Case | CT10 FB | CT10 DY | CT15 FR | CT11 FB | CT16 FR | CT10 FR | CT15 FB | CT15 FE | CT11 FR | CT11 FE | CT16 FE | |||||||||||
Number of Neurons and Sections Used | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct | Nr | Sct |
A1 | 149 | 13 | 376 | 12 | 65 | 2 | 237 | 14 | 53 | 9 | 45 | 8 | 2 | 1 | 6 | 3 | 27 | 9 | 51 | 10 | 1 | 1 |
AAF | 12 | 3 | 6 | 2 | 9 | 2 | 1 | 1 | 26 | 6 | 9 | 3 | 11 | 4 | 9 | 5 | 2 | 1 | ||||
P | 1 | 1 | 46 | 1 | 1 | 4 | 2 | 3 | 1 | |||||||||||||
VP | 1 | 1 | 1 | |||||||||||||||||||
Ve | 1 | 1 | 1 | 4 | 2 | |||||||||||||||||
A2 | 8 | 5 | 63 | 5 | 7 | 1 | 3 | 1 | 1 | 1 | 1 | 15 | 3 | 12 | 6 | |||||||
AES | 1 | 1 | 4 | 2 | 1 | 6 | 2 | 3 | 2 | 2 | 2 | |||||||||||
DZ | 5 | 4 | 37 | 10 | 52 | 3 | 52 | 12 | 19 | 10 | 54 | 12 | 18 | 5 | 23 | 4 | 119 | 13 | 29 | 9 | 9 | 4 |
Te | 2 | 1 | 1 | 1 | ||||||||||||||||||
Insula | 7 | 4 | 3 | 2 | ||||||||||||||||||
35/36 | 4 | 2 | ||||||||||||||||||||
ED | 1 | 1 | 2 | 2 | 5 | 4 | 1 | 1 | 1 | 2 | 1 | |||||||||||
EI | 1 | 1 | 1 | 1 | 4 | 3 | 1 | 2 | 2 | |||||||||||||
Ev | 2 | 1 | ||||||||||||||||||||
ALLS | 1 | 1 | 13 | 3 | 1 | 1 | 2 | 7 | 4 | 73 | 13 | 1 | 1 | |||||||||
AMLS | 3 | 3 | ||||||||||||||||||||
PLLS | 5 | 18 | 6 | |||||||||||||||||||
PMLS | 2 | 3 | 1 | |||||||||||||||||||
20 | 2 | 4 | ||||||||||||||||||||
PS | 1 | 1 | ||||||||||||||||||||
Total Labelling | 178 | 497 | 132 | 351 | 103 | 126 | 26 | 29 | 283 | 119 | 12 |
Similarly, we did not observe abnormal patterns of callosal connectivity of the area DZ in the deaf cats. Also here, the majority of projections arose from the homotopic area DZ (48% in the CDCs vs. 64% in the NHCs). The only slight difference in the respective proportion was observed from the inputs originating from the area ALLS, which is slightly higher in the deaf cat (7% vs. 1% in the controls).
All together, we did not observe a specific abnormal pattern of callosal connection in the congenital deaf cats.
Discussion
In the present study we have shown an anatomical reorganization of the connectivity of auditory areas DZ and A1 in congenital deafness. Specifically, the auditory DZ area of deaf cats receives non-auditory inputs from the multimodal SIV/orbito-frontal regions as well as from the visual areas 19/20a-20b, and more projections from AMLS and area 7. Further, we have observed abnormal non-auditory inputs from the visual thalamic nucleus LP to the primary auditory cortex A1. Such field specificity of reorganization is in accordance with previous work [12] that revealed a functional dissociation between A1 and DZ in crossmodal reorganization after deafness.
In addition, the present study demonstrates that these abnormal projections represent only a small fraction of total inputs. The large majority of the afferents to A1 and DZ appeared normal in their areal specificity.
Reorganization of the connectivity of areas A1 and DZ of the congenital deaf cat
The tracer injections in both A1 and DZ revealed a limited set of abnormal projections present only in the CDC. This abnormal connectivity originates from structures involved in visual or somato-motor processing and could provide non-auditory information to the deprived auditory system.
Thalamic inputs to the primary auditory cortex A1
A direct comparison revealed that the thalamic sources of inputs to A1 after congenital deafness are close to that observed in normal hearing cats, namely with a major projection from the ventral subdivision of the MGB. The area A1 showed only a single source of abnormal afferent which corresponds to the thalamic nucleus LP. Further, the strength of projections of individual thalamic pathways in the CDC were close to that of normal hearing cats (see tables 2-5). Additionally, the nucleotopic organization in the thalamo-cortical pathway was grossly preserved in the CDC. The double injections of dyes in two isofrequency bands of A1 lead to a segregated population of projecting neurons as observed in the normal hearing cats [44], [62], [63] or in partially deafened cat [64]. Nonetheless, the spread of the dye was larger following congenital deafness, indicating a functional smear of the cochleotopic gradient (compare [52], [53]). This suggests that a congenital deafness does not completely destroy the nucleotopic organization of the thalamo-cortical projection and that this organization is not the consequence of plastic adaptation to auditory input. However, this observation should be taken with precaution, given the complexity of the frequency representation in the 3D representation of the MGB [46], [65], [66]. In addition, electrophysiological recording of congenitally deaf cats by mean of electrical stimulation revealed an abnormal pattern of activity in A1 [67] corresponding to a loose cochleotopic representation [52] for neonatally deafened cats (see [68] but compare [53], [69], [70]. A larger spread could be caused by a higher divergence of the arborization of the thalamo-cortical projecting neurons [71] and a reduced intrinsic cortical inhibitory mechanism (ibid).
We observed a single source of non-auditory thalamic inputs to A1 in the deaf cat. The thalamic nucleus LP (lateral-posterior) is projecting directly to A1. This nucleus is part of the cat LP/pulvinar complex that is considered as a visual thalamic relay [72]. The location of the LP projecting neurons could correspond to the LPm subdivision according to the previous LP segmentation based on anatomical [73] and electrophysiological grounds [74]. The visual responses recorded in the LP nucleus [75] derived probably from its visual inputs arising directly from the superficial layers of the superior colliculus and from various visual areas of the suprasylvian sulcus [76], [77]. Of interest is that in animal models where selective neuronal lesions early in life induced a rewiring of the brain, LP projections have been identified to reach the primary auditory cortex [78] that had acquired visual functions [79]. It is possible that the lack of auditory activity reaching AI early during development makes this area more susceptible to be invaded by direct projections specifically from the visual LP nucleus.
These inputs from the LP, in addition to a trend for a higher density of projection from the SG nuclei, contribute probably to the transmission of non-auditory information (mainly visual) to the auditory cortex of the deaf cat.
Cortical inputs to area DZ
While we did not observe any novel cortical projection to A1 in the deaf cat, we found a consistent projection to area DZ of the CDC from the visual areas of the posterior suprasylvian gyrus including areas 19/20/21. As developed further (see methodological considerations), areas 20 and 21 are connected with the dorsal visual areas in the sylvian sulcus [80]–[83] for which we cannot rule out the possibility that they have been contaminated by our dye injections. The cortical areas 19/20a-20b are considered as purely visual, they contain a full representation of the contralateral visual field having neurons with large receptive fields [84], [85]. Indeed, behavioral studies in cats have implicated the areas 20/21 in visual learning of pattern discrimination [86]–[88]. It is consequently probable that the direct projections we observed from areas 20/21 to DZ contribute to the visual function supported the dorsal auditory zone.
The upper rim of the anterior part of the anterior ectosylvian sulcus was shown to project directly to area DZ in deaf cats but not in hearing controls. This region SIV, located anteriorly to the auditory and visual fields of the AES [89]–[91], is defined as a somatosensory area with a representation of the body surface distinct from the adjacent area SII [57], [58]. In consequence, the projection observed from SIV to DZ of the deaf cat could provide somatosensory information but also some visual information because some (but few) SIV cells respond to moving spots of light [92]. In addition we observed a consistent projection from the region located below the SIV area and corresponding probably to the orbito-insular frontal cortex. This area, which contains both visual and auditory responsive neurons [59], has been also implicated in visual behavior such as the localization of visual target in the peripheral visual field [93]. In agreement with the present results, previous studies on sensory deprivation from birth have emphasized on the implication of the cortical region buried in the AES in crossmodal plasticity [94], [95], but no work have yet studied the role in crossmodal compensation of its anterior part which is more devoted to somatosensory processing.
Finally, we observed a stronger projection of area 7 and AMLS into field DZ in deaf cats. This would provide a further route of visual inputs to DZ and would strengthen its visual reorganization.
Functional dissociation of A1 and DZ in the deaf cat
An important observation from this anatomical work is the dissociation in the deafness-induced reorganization of the connectivity of A1 and DZ. In the normal hearing cat, A1 and DZ can be functionally dissociated with respect to their implication in spatial auditory processing [96], [97]. A functional dissociation remains present when considering crossmodal reorganization ([12] and present study). Area DZ of the deaf cat receives non-auditory inputs from various sources but most exclusively from cortical regions. On the opposite, we were able to reveal only a weak thalamic origin of crossmodal afferents to A1. The lack of cortical influence from other sensory modality directly to A1 might restrict such functional reorganization. This is in agreement with the behavioral and electrophysiological results. Firstly, when area A1 is inactivated, the congenital deaf cats do not present any loss of their supra-normal visual skills for both visual localization or motion detection [12]. When DZ is transiently ”silenced“, the visual performances fall down to normal levels. Secondly, in contradiction to early work based on evoked potentials [27], a systematic study based on electrophysiological recording of single cells in A1 of the deaf cat failed to reveal visual responses [25], [26]. These results strongly suggest that the primary auditory cortex of the cat is in certain extent “resistive” to a functional colonization by other sensory modalities. Such hypothesis is in agreement with some human studies showing that in deaf patients the activation of the auditory cortex by visual stimuli is restricted to the in secondary auditory areas but does not encompass in A1 [10], [24].
Methodological considerations
The present study is based on 2 or 3 injections in individual cortical areas, and in each case the topological distribution as well as the density of labeling were quite similar across dyes and animals (see fig 4 and 8). Our strategy of performing large stereotyped tracer injections spanning all the cortical depth, coupled with a high frequency sampling of the sections across the brain insures a strong reliability of the results [37] by reducing the variability [98]. Further, recent work on the visual cortex connectivity in the monkey showed that the areal specificity and the strength of connections are relatively constant across animals [38]. Following the exploration of the entire projection zone [37] the consistency of a given cortical projection could be explored even based on a small number of cases as in the present study [38].
Some injections used here were not restricted to the cortical plate and encroached the underlying white matter. The influence of depth injection is problematic in developmental studies because cortical transient connections do not penetrate the cortical grey matter [99], [100]. However, in the adult. when the dye injections are invading the white matter, it has no effect on the areal specificity and the density of labeling [38], [101]. This is illustrated in cases CT-11 FR and FE, which, in spite of one of this injection located deep in the white matter (CT-11 FE), showed a similar pattern of labeling including the presence of abnormal projections from the visual areas. This suggests that the depth of dye injection is not responsible for the different pattern of connectivity observed between the normal and the deaf cats.
The main result of the connectivity analysis of A1 in the deaf cats is the absence of extensive abnormal cortico-cortical connectivity. In spite of the fact that our injections sites might not always being restricted to a single area, it is important to note that the overall pattern of distribution of retrogradely labeled cells in the CDC correspond to the one previously reported for A1 injections in hearing cats [56]. As previously observed in normal hearing cats [102]–[104], the main afferents to AI of the CDC originate from areas A2, AAF and the posterior temporal auditory areas (ED, EI, Ev). In any case, the possibility that the injection might have contaminated the area outside A1 cannot account for the lack of massive abnormal connectivity pattern of the primary auditory cortex of the CDC.
While we did not find any abnormal cortical projections to A1, the dorsal auditory area DZ had novel cortical connectivity patterns after congenital deafness. We cannot rule out the possibility that the visual inputs to DZ are resulting from a spread of the injections sites into the areas ALLS or PLLS because previous works have reported a weak and variable projection from the areas 19/20a–20b toward ALLS [80]. However, several observations suggest that a contamination of the injection in the area ALLS/PLLS does not account for the entire retrograde labeling in the non-auditory areas. First, no labeling was observed in the geniculate thalamic relay known to project to areas PLLS [105], [106], which suggests the absence of a significant contamination of the area ALLS/PLLS. Second, in the normal hearing cat we did not observe the abnormal projection from non-auditory cortical regions (areas 20/21, SIV) following a large injection encroaching the WM and contaminating the cortical area ALLS buried in the fundus of the SSS (Case CT10 FE, see Supplementary Material S1, Sup. Table 3). Third, in a late deafened cat (over 6 months after birth), it has been recently shown [107] that the area DZ is receiving a much higher density of visual projections, including projections from visual areas 19/20a–20b as reported presently. In consequence, it is probable that the visual inputs that reach the auditory area DZ in the deaf cat are representing a smaller proportion that the one reported presently here due to the possibility of a spread of the injection sites. Concerning the projection originating from the SIV and orbito-frontal region, no such projections have been described toward neither DZ nor toward the areas PLLS/ALLS [57], [80] suggesting that such projections are specific to the deaf cat area DZ.
Role of afferent activity in the establishment of cortical connectivity
The present results provide evidence of a near normal connectivity pattern of the auditory areas A1 and DZ. This restricted impact of a lack of auditory activity during development is observed both at the levels of the thalamo-cortical pathway and the cortico-cortical network. Of importance, the basic functional architecture of the auditory cortex, the tonotopic organization, appears to be preserved to some extent. Altogether, our results question the role of sensory activity in governing the cortical connectivity. While the organization of some functional maps such as the ocular dominance columns in the primary visual fields V1 are largely dependent of the afferent activity (see [108]), anatomical works performed at early stages of the development [109], [110] have revealed a precise organization of the visual pathways before birth (see [111] for review). In particular, in monkey, the areal specificity and the hierarchical organization of the connectivity are present during the prenatal stages and no transient exuberant connections can be observed throughout the development [100], [101], [112]. These results are important for several reasons. First, they weaken the role of experience in pruning of exuberant immature inter-areal connections after sensory loss [113]. Such mechanism could nevertheless apply to rodents that present a poor precision in the formation of their connectivity pattern (see [114] for review). Second, it suggests that activity-independent mechanisms play an important role in the establishment of the connections before birth. In a primate model of congenital anophtalmia [115], [116] we have observed a near-normal areal specificity of the connectivity pattern of the visual areas V2 and V4 [117], [118], including a preservation of the retinotopic topology and a lack of crossmodal reorganization [119]. Altogether, this set of data, including the present work, supports the hypothesis that in high order species, a sensory deafferentation at birth cannot extensively alter the cortical connectivity.
Crossmodal compensation and multisensory integration
Brain imaging studies have revealed abnormal metabolic levels [120], [121] and activations of the auditory cortex of deaf patients by visual or tactile stimuli [122], [123] that could originate from a direct functional impact of the non-auditory projections presently described. However, given the paucity of such abnormal projections, additional mechanisms should be considered to fully account for the crossmodal reorganization of the deafened auditory cortex. It might be possible that some reorganization of connectivity occurs before the thalamic level as observed in experimentally rewired brain [124]. Alternatively, crossmodal functional reorganization observed following congenital deafness might be supported, at least partly, by the normal network connecting the auditory system. Indeed, several sources of visual inputs can reach indirectly the auditory cortex and could participate to crossmodal reorganization. Visual or visual related (saccadic) information are reaching the different auditory relays such as the inferior colliculus and the MGB [125]–[127]. These visual activities can originate from direct retinal inputs [128], [129] or from projections from the upper layers of the superior colliculus [130] reaching the inferior colliculus. In some species (rodents and ferrets), the primary auditory cortex is receiving direct projections from visual areas [131], which is not the case in the cat and monkey (present study, [132]. For example, in areas of the auditory core of the ferret sparse but direct inputs from visual areas exist (including the primary visual cortex) that probably account for the small proportion of neurons that can be driven or modulated by visual stimulation [133].
This suggests that in some species such as the cat or monkey, the cortical mechanisms for crossmodal compensation after sensory loss can rely on unmasking or on an increased efficiency of existing heteromodal connections linking the auditory cortex to cortical or thalamic structures involved in processing visual or tactile modalities (see [17], [134]–[136], reviewed in [137]. Indeed crossmodal reorganization after total deafness can occur during adulthood: in the adult deafened ferret, somatosensory responses can be revealed in A1 neurons in absence of a reorganization of the connectivity of the auditory cortex [138]. Similarly in normal adult subjects, a sensory deprivation (complete blindfolding) can rapidly induce an engagement of the visual cortex including V1, in processing tactile information [139], adding further evidence that crossmodal compensation and multisensory integration can share a common anatomical pathway.
Conclusions
In summary, in the congenital deaf cat, the auditory areas A1 and DZ receive abnormal visual and somatosensory projections not present in hearing cats. However, the strengths of these projections are weak, suggesting that crossmodal compensation after sensory loss results from the complementary contribution of a reorganized cortical connectivity and the normal network involved in multisensory processing. Ultimately, these results weaken then role of activity dependent mechanisms in the establishment of cortical connections during the development.
Supporting Information
Acknowledgments
We thank C. Marlot for help in bibliography, L. Renaud for participation in histological work and Drs. M. Budack and B. Tiemann for care of the animals.
Funding Statement
Funding was provided by the the ANR Hearing Loss (ANR-06-Neuro-021-04) to LL and PB, la Fédération pour la Recherche sur le Cerveau (to BP), the BQR ATUPS program of the Université P. Sabatier (to LL), the recurrent funding of the CNRS (BP) and Deutsche Forschungsgemeinschaft (Kr 3370 and cluster of excellence Hearing4all to AK). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Rauschecker JP (1995) Compensatory plasticity and sensory substitution in the cerebral cortex. Trends Neurosci 18: 36–43. [DOI] [PubMed] [Google Scholar]
- 2. Collignon O, Champoux F, Voss P, Lepore F (2011) Sensory rehabilitation in the plastic brain. Prog Brain Res 191: 211–231. [DOI] [PubMed] [Google Scholar]
- 3.Röder B, Rosler F (2004) Compensatory plasticity as a consequence of sensory loss. In: Calvert G, Spence C, Stein BE, editors. The handbook of multisensory processes. Cambridge, Mass.: MIT Press. 719–747.
- 4. Bavelier D, Dye MW, Hauser PC (2006) Do deaf individuals see better? Trends Cogn Sci 10: 512–518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pavani F, Bottari D (2011) Visual abilities in individuals with profound deafness: A critical review. In: Murray MM, Wallace MN, editors. Frontiers in the neural bases of multisensory processes. Boca Raton: CRC Press. in press. [PubMed]
- 6. Neville HJ, Lawson D (1987) Attention to central and peripheral visual space in a movement detection task: an event-related potential and behavioral study. II. Congenitally deaf adults. Brain Res 405: 268–283. [DOI] [PubMed] [Google Scholar]
- 7. Kujala T, Alho K, Naatanen R (2000) Cross-modal reorganization of human cortical functions. Trends Neurosci 23: 115–120. [DOI] [PubMed] [Google Scholar]
- 8. Capek CM, Macsweeney M, Woll B, Waters D, McGuire PK, et al. (2008) Cortical circuits for silent speechreading in deaf and hearing people. Neuropsychologia 46: 1233–1241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Ptito M, Giguere JF, Boire D, Frost DO, Casanova C (2001) When the auditory cortex turns visual. Prog Brain Res 134: 447–458. [DOI] [PubMed] [Google Scholar]
- 10. Nishimura H, Hashikawa K, Doi K, Iwaki T, Watanabe Y, et al. (1999) Sign language ‘heard’ in the auditory cortex. Nature 397: 116. [DOI] [PubMed] [Google Scholar]
- 11. Finney EM, Fine I, Dobkins KR (2001) Visual stimuli activate auditory cortex in the deaf. Nat Neurosci 4: 1171–1173. [DOI] [PubMed] [Google Scholar]
- 12. Lomber SG, Meredith MA, Kral A (2010) Cross-modal plasticity in specific auditory cortices underlies visual compensations in the deaf. Nat Neurosci 13: 1421–1427. [DOI] [PubMed] [Google Scholar]
- 13. Kral A, Tillein J, Hubka P, Schiemann D, Heid S, et al. (2009) Spatiotemporal patterns of cortical activity with bilateral cochlear implants in congenital deafness. J Neurosci 29: 811–827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Kral A, Tillein J, Heid S, Klinke R, Hartmann R (2006) Cochlear implants: cortical plasticity in congenital deprivation. Prog Brain Res 157: 283–313. [DOI] [PubMed] [Google Scholar]
- 15. Cohen LG, Celnik P, Pascual-Leone A, Corwell B, Falz L, et al. (1997) Functional relevance of cross-modal plasticity in blind humans. Nature 389: 180–183. [DOI] [PubMed] [Google Scholar]
- 16. Hamilton R, Keenan JP, Catala M, Pascual-Leone A (2000) Alexia for Braille following bilateral occipital stroke in an early blind woman. Neuroreport 11: 237–240. [DOI] [PubMed] [Google Scholar]
- 17. Bavelier D, Neville HJ (2002) Cross-modal plasticity: where and how? Nat Rev Neurosci 3: 443–452. [DOI] [PubMed] [Google Scholar]
- 18. Asanuma C, Stanfield BB (1990) Induction of somatic sensory inputs to the lateral geniculate nucleus in congenitally blind mice and in phenotypically normal mice. Neuroscience 39: 533–545. [DOI] [PubMed] [Google Scholar]
- 19. Karlen SJ, Kahn DM, Krubitzer L (2006) Early blindness results in abnormal corticocortical and thalamocortical connections. Neuroscience 142: 843–858. [DOI] [PubMed] [Google Scholar]
- 20. Chabot N, Charbonneau V, Laramee ME, Tremblay R, Boire D, et al. (2008) Subcortical auditory input to the primary visual cortex in anophthalmic mice. Neurosci Lett 433: 129–134. [DOI] [PubMed] [Google Scholar]
- 21. Hunt DL, Yamoah EN, Krubitzer L (2006) Multisensory plasticity in congenitally deaf mice: how are cortical areas functionally specified? Neuroscience 139: 1507–1524. [DOI] [PubMed] [Google Scholar]
- 22. Park MH, Lee HJ, Kim JS, Lee JS, Lee DS, et al. (2010) Cross-modal and compensatory plasticity in adult deafened cats: A longitudinal PET study. Brain Res 1354: 85–90. [DOI] [PubMed] [Google Scholar]
- 23. Codina C, Pascalis O, Mody C, Toomey P, Rose J (2011) Visual Advantage in Deaf Adults Linked to Retinal Changes. PLoS ONE 6: e20417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Lambertz N, Gizewski ER, de Greiff A, Forsting M (2005) Cross-modal plasticity in deaf subjects dependent on the extent of hearing loss. Brain Res Cogn Brain Res 25: 884–890. [DOI] [PubMed] [Google Scholar]
- 25. Kral A, Schroder JH, Klinke R, Engel AK (2003) Absence of cross-modal reorganization in the primary auditory cortex of congenitally deaf cats. Exp Brain Res 153: 605–613. [DOI] [PubMed] [Google Scholar]
- 26. Stewart DL, Starr A (1970) Absence of visually influenced cells in auditory cortex of normal and congenitally deaf cats. Exp Neurol 28: 525–528. [DOI] [PubMed] [Google Scholar]
- 27. Rebillard G, Carlier E, Rebillard M, Pujol R (1977) Enhancement of visual responses on the primary auditory cortex of the cat after an early destruction of cochlear receptors. Brain Res 129: 162–164. [DOI] [PubMed] [Google Scholar]
- 28. Merzenich MM, Knight PL, Roth GL (1975) Representation of cochlea within primary auditory cortex in the cat. J Neurophysiol 38: 231–249. [DOI] [PubMed] [Google Scholar]
- 29. Lee CC, Winer JA (2008) Connections of cat auditory cortex: I. Thalamocortical system. J Comp Neurol 507: 1879–1900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Kobbert C, Apps R, Bechmann I, Lanciego JL, Mey J, et al. (2000) Current concepts in neuroanatomical tracing. Prog Neurobiol 62: 327–351. [DOI] [PubMed] [Google Scholar]
- 31. Schofield BR, Schofield RM, Sorensen KA, Motts SD (2007) On the use of retrograde tracers for identification of axon collaterals with multiple fluorescent retrograde tracers. Neuroscience 146: 773–783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Kawamura K (1971) Variations of the cerebral sulci in the cat. Acta Anat (Basel) 80: 204–221. [DOI] [PubMed] [Google Scholar]
- 33. Fonta C, Negyessy L, Renaud L, Barone P (2004) Areal and subcellular localization of the ubiquitous alkaline phosphatase in the primate cerebral cortex: evidence for a role in neurotransmission. Cereb Cortex 14: 595–609. [DOI] [PubMed] [Google Scholar]
- 34. Wong-Riley M (1979) Changes in the visual system of monocularly sutured or enucleated cats demonstrable with cytochrome oxidase histochemistry. Brain Res 171: 11–28. [DOI] [PubMed] [Google Scholar]
- 35. Mellott JG, Van der Gucht E, Lee CC, Carrasco A, Winer JA, et al. (2010) Areas of cat auditory cortex as defined by neurofilament proteins expressing SMI-32. Hear Res 267: 119–136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. van der Gucht E, Vandesande F, Arckens L (2001) Neurofilament protein: a selective marker for the architectonic parcellation of the visual cortex in adult cat brain. J Comp Neurol 441: 345–368. [DOI] [PubMed] [Google Scholar]
- 37. Barone P, Batardiere A, Knoblauch K, Kennedy H (2000) Laminar distribution of neurons in extrastriate areas projecting to V1 and V4 correlates with the hierarchical rank and indicates the operation of a distance rule. J Neurosc 20: 3263–3281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Markov NT, Misery P, Falchier A, Lamy C, Vezoli J, et al. (2011) Weight Consistency Specifies Regularities of Macaque Cortical Networks. Cereb Cortex 21: 1254–1272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Sharpee TO, Atencio CA, Schreiner CE (2011) Hierarchical representations in the auditory cortex. Curr Opin Neurobiol 21: 761–767. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Reale RA, Imig TJ (1980) Tonotopic organization in auditory cortex of the cat. J Comp Neurol 192: 265–291. [DOI] [PubMed] [Google Scholar]
- 41. He J, Hashikawa T, Ojima H, Kinouchi Y (1997) Temporal integration and duration tuning in the dorsal zone of cat auditory cortex. J Neurosci 17: 2615–2625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Lee CC, Middlebrooks JC (2013) Specialization for Sound Localization in Fields A1, DZ, and PAF of Cat Auditory Cortex. J Assoc Res Otolaryngol 14: 61–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. He J, Hashikawa T (1998) Connections of the dorsal zone of cat auditory cortex. J Comp Neurol 400: 334–348. [DOI] [PubMed] [Google Scholar]
- 44. Middlebrooks JC, Zook JM (1983) Intrinsic organization of the cat's medial geniculate body identified by projections to binaural response-specific bands in the primary auditory cortex. J Neurosci 3: 203–224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Palmer LA, Rosenquist AC, Tusa RJ (1978) The retinotopic organization of lateral suprasylvian visual areas in the cat. J Comp Neurol 177: 237–256. [DOI] [PubMed] [Google Scholar]
- 46. Imig TJ, Morel A (1984) Topographic and cytoarchitectonic organization of thalamic neurons related to their targets in low-, middle-, and high-frequency representations in cat auditory cortex. J Comp Neurol 227: 511–539. [DOI] [PubMed] [Google Scholar]
- 47. Morel A, Imig TJ (1987) Thalamic projections to fields A, AI, P, and VP in the cat auditory cortex. J Comp Neurol 265: 119–144. [DOI] [PubMed] [Google Scholar]
- 48.Bank MI, Smith PH (2011) Thalamocortical relations. In: Winer JA, Schreiner C, editors. The Auditory Cortex. New York, Dordrecht, Heildelberg, London: Springer. 75–97.
- 49.Clarey JC, Barone P, Imig TJ (1992) Physiology of Thalamus and Cortex. In: Fay R, Popper A, editors. The Mammalian Auditory Pathway: Neurophysiology. New York: Springer-Verlag. 232–334.
- 50. Andersen RA, Knight PL, Merzenich MM (1980) The thalamocortical and corticothalamic connections of AI, AII, and the anterior auditory field (AAF) in the cat: evidence for two largely segregated systems of connections. J Comp Neurol 194: 663–701. [DOI] [PubMed] [Google Scholar]
- 51. Read HL, Nauen DW, Escabi MA, Miller LM, Schreiner CE, et al. (2011) Distinct core thalamocortical pathways to central and dorsal primary auditory cortex. Hear Res 274: 95–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Hartmann R, Shepherd RK, Heid S, Klinke R (1997) Response of the primary auditory cortex to electrical stimulation of the auditory nerve in the congenitally deaf white cat. Hear Res 112: 115–133. [DOI] [PubMed] [Google Scholar]
- 53. Fallon JB, Irvine DR, Shepherd RK (2009) Cochlear implant use following neonatal deafness influences the cochleotopic organization of the primary auditory cortex in cats. J Comp Neurol 512: 101–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Winer JA, Lee CC (2007) The distributed auditory cortex. Hear Res 229: 3–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Scannell JW, Blakemore C, Young MP (1995) Analysis of connectivity in the cat cerebral cortex. J Neurosci 15: 1463–1483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Lee CC, Winer JA (2008) Connections of cat auditory cortex: III. Corticocortical system. J Comp Neurol 507: 1920–1943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Clemo HR, Meredith MA (2004) Cortico-cortical relations of cat somatosensory areas SIV and SV. Somatosens Mot Res 21: 199–209. [DOI] [PubMed] [Google Scholar]
- 58. Clemo HR, Stein BE (1983) Organization of a fourth somatosensory area of cortex in cat. J Neurophysiol 50: 910–925. [DOI] [PubMed] [Google Scholar]
- 59. Fallon JH, Benevento LA (1977) Auditory-visual interaction in cat orbital-insular cortex. Neurosci Lett 6: 143–149. [DOI] [PubMed] [Google Scholar]
- 60. Joseph JP, Giroud P (1986) Visuomotor properties of neurons of the anterior suprasylvian gyrus in the awake cat. Exp Brain Res 62: 355–362. [DOI] [PubMed] [Google Scholar]
- 61. Yin TC, Greenwood M (1992) Visuomotor interactions in responses of neurons in the middle and lateral suprasylvian cortices of the behaving cat. Exp Brain Res 88: 15–32. [DOI] [PubMed] [Google Scholar]
- 62. Brandner S, Redies H (1990) The projection from medial geniculate to field AI in cat: organization in the isofrequency dimension. J Neurosci 10: 50–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Huang CL, Winer JA (2000) Auditory thalamocortical projections in the cat: laminar and areal patterns of input. J Comp Neurol 427: 302–331. [DOI] [PubMed] [Google Scholar]
- 64. Stanton SG, Harrison RV (2000) Projections from the medial geniculate body to primary auditory cortex in neonatally deafened cats. J Comp Neurol 426: 117–129. [DOI] [PubMed] [Google Scholar]
- 65. Velenovsky DS, Cetas JS, Price RO, Sinex DG, McMullen NT (2003) Functional subregions in primary auditory cortex defined by thalamocortical terminal arbors: An electrophysiological and anterograde labeling study. J Neurosci 23: 308–316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Imig TJ, Morel A (1985) Tonotopic organization in ventral nucleus of medial geniculate body in the cat. J Neurophysiol 53: 309–340. [DOI] [PubMed] [Google Scholar]
- 67. Klinke R, Kral A, Heid S, Tillein J, Hartmann R (1999) Recruitment of the auditory cortex in congenitally deaf cats by long- term cochlear electrostimulation. Science 285: 1729–1733. [DOI] [PubMed] [Google Scholar]
- 68. Raggio MW, Schreiner CE (2003) Neuronal responses in cat primary auditory cortex to electrical cochlear stimulation: IV. Activation pattern for sinusoidal stimulation. J Neurophysiol 89: 3190–3204. [DOI] [PubMed] [Google Scholar]
- 69. Kral A, Hartmann R, Tillein J, Heid S, Klinke R (2002) Hearing after congenital deafness: central auditory plasticity and sensory deprivation. Cereb Cortex 12: 797–807. [DOI] [PubMed] [Google Scholar]
- 70. Kral A, Hartmann R, Tillein J, Heid S, Klinke R (2001) Delayed maturation and sensitive periods in the auditory cortex. Audiol Neurootol 6: 346–362. [DOI] [PubMed] [Google Scholar]
- 71. Kral A, Tillein J, Heid S, Hartmann R, Klinke R (2005) Postnatal cortical development in congenital auditory deprivation. Cereb Cortex 15: 552–562. [DOI] [PubMed] [Google Scholar]
- 72.Steriade M, Jones EG, McCormick DA (1997) Thalamus. Volume I. Organisation and Functions. Amsterdam-Lausanne: Elsevier.
- 73. Graybiel AM, Berson DM (1980) Histochemical identification and afferent connections of subdivisions in the lateralis posterior-pulvinar complex and related thalamic nuclei in the cat. Neuroscience 5: 1175–1238. [DOI] [PubMed] [Google Scholar]
- 74. Chalupa LM, Abramson BP (1989) Visual receptive fields in the striate-recipient zone of the lateral posterior-pulvinar complex. J Neurosci 9: 347–357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Chalupa LM, Fish SE (1978) Response characteristics of visual and extravisual neurons in the pulvinar and lateral posterior nuclei of the cat. Exp Neurol 61: 96–120. [DOI] [PubMed] [Google Scholar]
- 76. Updyke BV (1981) Projections from visual areas of the middle suprasylvian sulcus onto the lateral posterior complex and adjacent thalamic nuclei in cat. J Comp Neurol 201: 477–506. [DOI] [PubMed] [Google Scholar]
- 77. Berson DM, Graybiel AM (1983) Organization of the striate-recipient zone of the cats lateralis posterior-pulvinar complex and its relations with the geniculostriate system. Neuroscience 9: 337–372. [DOI] [PubMed] [Google Scholar]
- 78. Pallas SL, Roe AW, Sur M (1990) Visual projections induced into the auditory pathway of ferrets. I. Novel inputs to primary auditory cortex (AI) from the LP/pulvinar complex and the topography of the MGN-AI projection. J Comp Neurol 298: 50–68. [DOI] [PubMed] [Google Scholar]
- 79. Sur M, Garraghty PE, Roe AW (1988) Experimentally induced visual projections into auditory thalamus and cortex. Science 242: 1437–1441. [DOI] [PubMed] [Google Scholar]
- 80. Symonds LL, Rosenquist AC (1984) Corticocortical connections among visual areas in the cat. J Comp Neurol 229: 1–38. [DOI] [PubMed] [Google Scholar]
- 81. Scannell JW, Burns GA, Hilgetag CC, O'Neil MA, Young MP (1999) The connectional organization of the cortico-thalamic system of the cat. Cereb Cortex 9: 277–299. [DOI] [PubMed] [Google Scholar]
- 82. Kuchiiwa S, Kuchiiwa T, Matsue H, Sukekawa K (1985) Efferent connections of area 20 in the cat: HRP-WGA and autoradiographic studies. Exp Brain Res 60: 179–183. [DOI] [PubMed] [Google Scholar]
- 83. Cavada C, Reinoso-Suarez F (1983) Afferent connections of area 20 in the cat studied by means of the retrograde axonal transport of horseradish peroxidase. Brain Res 270: 319–324. [DOI] [PubMed] [Google Scholar]
- 84. Tusa RJ, Palmer LA (1980) Retinotopic organization of areas 20 and 21 in the cat. J Comp Neurol 193: 147–164. [DOI] [PubMed] [Google Scholar]
- 85. Updyke BV (1986) Retinotopic organization within the cat's posterior suprasylvian sulcus and gyrus. J Comp Neurol 246: 265–280. [DOI] [PubMed] [Google Scholar]
- 86. Lomber SG, Payne BR, Cornwell P, Long KD (1996) Perceptual and cognitive visual functions of parietal and temporal cortices in the cat. Cereb Cortex 6: 673–695. [DOI] [PubMed] [Google Scholar]
- 87. Cornwell P, Warren JM (1981) Visual discrimination defects in cats with temporal or occipital decortications. J Comp Physiol Psychol 95: 603–614. [DOI] [PubMed] [Google Scholar]
- 88. Campbell A Jr (1978) Deficits in visual learning produced by posterior temporal lesions in cats. J Comp Physiol Psychol 92: 45–57. [DOI] [PubMed] [Google Scholar]
- 89. Jiang H, Lepore F, Ptito M, Guillemot JP (1994) Sensory modality distribution in the anterior ectosylvian cortex (AEC) of cats. Exp Brain Res 97: 404–414. [DOI] [PubMed] [Google Scholar]
- 90. Clarey JC, Irvine DR (1990) The anterior ectosylvian sulcal auditory field in the cat: I. An electrophysiological study of its relationship to surrounding auditory cortical fields. J Comp Neurol 301: 289–303. [DOI] [PubMed] [Google Scholar]
- 91. Olson CR, Graybiel AM (1987) Ectosylvian visual area of the cat: location, retinotopic organization, and connections. J Comp Neurol 261: 277–294. [DOI] [PubMed] [Google Scholar]
- 92. Clemo HR, Stein BE (1982) Somatosensory cortex: a ‘new’ somatotopic representation. Brain Res 235: 162–168. [DOI] [PubMed] [Google Scholar]
- 93. Maire-Lepoivre E, Krupa M, Przybyslawski J, Imbert M (1986) Visual localization and discrimination after ibotenic lesion of the cat orbito-insular cortex. Behav Brain Res 22: 53–62. [DOI] [PubMed] [Google Scholar]
- 94. Meredith MA, Kryklywy J, McMillan AJ, Malhotra S, Lum-Tai R, et al. (2011) Crossmodal reorganization in the early deaf switches sensory, but not behavioral roles of auditory cortex. Proc Natl Acad Sci U S A 108: 8856–8861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Korte M, Rauschecker JP (1993) Auditory spatial tuning of cortical neurons is sharpened in cats with early blindness. J Neurophysiol 70: 1717–1721. [DOI] [PubMed] [Google Scholar]
- 96. Malhotra S, Hall AJ, Lomber SG (2004) Cortical control of sound localization in the cat: unilateral cooling deactivation of 19 cerebral areas. J Neurophysiol 92: 1625–1643. [DOI] [PubMed] [Google Scholar]
- 97. Stecker GC, Harrington IA, Macpherson EA, Middlebrooks JC (2005) Spatial Sensitivity in the Dorsal Zone (Area DZ) of Cat Auditory Cortex. J Neurophysiol 94: 1267–1280. [DOI] [PubMed] [Google Scholar]
- 98. Scannell JW, Grant S, Payne BR, Baddeley R (2000) On variability in the density of corticocortical and thalamocortical connections. Philos Trans R Soc Lond B Biol Sci 355: 21–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Innocenti GM, Berbel P, Clarke S (1988) Development of projections from auditory to visual areas in the cat. J Comp Neurol 272: 242–259. [DOI] [PubMed] [Google Scholar]
- 100. Barone P, Dehay C, Berland M, Kennedy H (1996) Role of directed growth and target selection in the formation of cortical pathways: prenatal development of the projection of area V2 to area V4 in the monkey. J Comp Neurol 374: 1–20. [DOI] [PubMed] [Google Scholar]
- 101. Batardiere A, Barone P, Knoblauch K, Giroud P, Berland M, et al. (2002) Early specification of the hierarchical organization of visual cortical areas in the macaque monkey. Cereb Cortex 12: 453–465. [DOI] [PubMed] [Google Scholar]
- 102. Lee CC, Schreiner CE, Imaizumi K, Winer JA (2004) Tonotopic and heterotopic projection systems in physiologically defined auditory cortex. Neuroscience 128: 871–887. [DOI] [PubMed] [Google Scholar]
- 103. Rouiller EM, Simm GM, Villa AE, de Ribaupierre Y, de Ribaupierre F (1991) Auditory corticocortical interconnections in the cat: evidence for parallel and hierarchical arrangement of the auditory cortical areas. Exp Brain Res 86: 483–505. [DOI] [PubMed] [Google Scholar]
- 104. Imig TJ, Reale RA (1980) Patterns of cortico-cortical connections related to tonotopic maps in cat auditory cortex. J Comp Neurol 192: 293–332. [DOI] [PubMed] [Google Scholar]
- 105. Rauschecker JP, von Grunau MW, Poulin C (1987) Thalamo-cortical connections and their correlation with receptive field properties in the cat's lateral suprasylvian visual cortex. Exp Brain Res 67: 100–112. [DOI] [PubMed] [Google Scholar]
- 106. Grant S, Shipp S (1991) Visuotopic organization of the lateral suprasylvian area and of an adjacent area of the ectosylvian gyrus of cat cortex: a physiological and connectional study. Vis Neurosci 6: 315–338. [DOI] [PubMed] [Google Scholar]
- 107.Kok MA, Chabot N, Lomber SG (2012) Amplified extrastriate visual corticalprojections to auditory cortical regions following deafness. ARO. Baltimore.
- 108. Wiesel TN (1982) Postnatal development of the visual cortex and the influence of environment. Nature 299: 583–591. [DOI] [PubMed] [Google Scholar]
- 109. Crowley JC, Katz LC (1999) Development of ocular dominance columns in the absence of retinal input. Nat Neurosci 2: 1125–1130. [DOI] [PubMed] [Google Scholar]
- 110. Huberman AD, Dehay C, Berland M, Chalupa LM, Kennedy H (2005) Early and rapid targeting of eye-specific axonal projections to the dorsal lateral geniculate nucleus in the fetal macaque. J Neurosci 25: 4014–4023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Price DJ, Kennedy H, Dehay C, Zhou L, Mercier M, et al. (2006) The development of cortical connections. Eur J Neurosci 23: 910–920. [DOI] [PubMed] [Google Scholar]
- 112. Barone P, Dehay C, Berland M, Bullier J, Kennedy H (1995) Developmental remodeling of primate visual cortical pathways. Cereb Cortex 5: 22–38. [DOI] [PubMed] [Google Scholar]
- 113. Changeux JP, Danchin A (1976) Selective stabilisation of developing synapses as a mechanism for the specification of neuronal networks. Nature 264: 705–712. [DOI] [PubMed] [Google Scholar]
- 114. Chalupa LM, Dreher B (1991) High precision systems require high precision “blueprints”: A new view regarding the formation of connections in the mammalian visual system. J Cognit Neurosci 3: 209–218. [DOI] [PubMed] [Google Scholar]
- 115. Dehay C, Giroud P, Berland M, Killackey HP, Kennedy H (1996) Phenotypic characterisation of respecified visual cortex subsequent to prenatal enucleation in the monkey: development of acetylcholinesterase and cytochrome oxidase patterns. J Comp Neurol 376: 386–402. [DOI] [PubMed] [Google Scholar]
- 116. Dehay C, Giroud P, Berland M, Killackey H, Kennedy H (1996) Contribution of thalamic input to the specification of cytoarchitectonic cortical fields in the primate: effects of bilateral enucleation in the fetal monkey on the boundaries, dimensions, and gyrification of striate and extrastriate cortex. J Comp Neurol 367: 70–89. [DOI] [PubMed] [Google Scholar]
- 117. Barone P, Dehay C, Berland M, Giroud P, Killackey H, et al. (1997) Respecification of cortex following prenatal enucleation in the monkey leads to an important expansion of the ventral visual pathway. Soc Neurosc Abst 23: 1993. [Google Scholar]
- 118. Barone P, Batardière A, Dehay C, Berland M, Kennedy H (1996) Effects of early prenatal enucleation on cortical connectivity in monkey. Soc Neurosc Abst 22: 1016. [Google Scholar]
- 119.Markov NT, Barone P, Falchier A, Dehay C, Berland M, et al. Prenatal enucleation in macaque monkey shows that ascending sensory input to the developing cortex controls multiple aspects of the organization of cortical pathways; 2010. Program No. 739.734.
- 120. Deggouj N, Devolder A, Catalan M, Melin J, Michel C, et al. (1995) Positron emission tomography in deaf patients at rest. Adv Otorhinolaryngol 50: 31–37. [DOI] [PubMed] [Google Scholar]
- 121. Catalan-Ahumada M, Deggouj N, De Volder A, Melin J, Michel C, et al. (1993) High metabolic activity demonstrated by positron emission tomography in human auditory cortex in case of deafness of early onset. Brain Res 623: 287–292. [DOI] [PubMed] [Google Scholar]
- 122. Finney EM, Clementz BA, Hickok G, Dobkins KR (2003) Visual stimuli activate auditory cortex in deaf subjects: evidence from MEG. Neuroreport 14: 1425–1427. [DOI] [PubMed] [Google Scholar]
- 123. Auer ET Jr, Bernstein LE, Sungkarat W, Singh M (2007) Vibrotactile activation of the auditory cortices in deaf versus hearing adults. Neuroreport 18: 645–648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Horng SH, Sur M (2006) Visual activity and cortical rewiring: activity-dependent plasticity of cortical networks. Prog Brain Res 157: 3–11. [DOI] [PubMed] [Google Scholar]
- 125. Zwiers MP, Versnel H, Van Opstal AJ (2004) Involvement of monkey inferior colliculus in spatial hearing. J Neurosci 24: 4145–4156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Porter KK, Metzger RR, Groh JM (2006) Representation of eye position in primate inferior colliculus. J Neurophysiol 95: 1826–1842. [DOI] [PubMed] [Google Scholar]
- 127. Groh JM, Trause AS, Underhill AM, Clark KR, Inati S (2001) Eye position influences auditory responses in primate inferior colliculus. Neuron 29: 509–518. [DOI] [PubMed] [Google Scholar]
- 128. Paloff AM, Usunoff KG, Hinova-Palova DV, Ivanov DP (1985) Retinal innervation of the inferior colliculus in adult cats: electron microscopic observations. Neurosci Lett 54: 339–344. [DOI] [PubMed] [Google Scholar]
- 129. Itaya SK, Van Hoesen GW (1982) Retinal innervation of the inferior colliculus in rat and monkey. Brain Res 233: 45–52. [DOI] [PubMed] [Google Scholar]
- 130. Doubell TP, Baron J, Skaliora I, King AJ (2000) Topographical projection from the superior colliculus to the nucleus of the brachium of the inferior colliculus in the ferret: convergence of visual and auditory information. Eur J Neurosci 12: 4290–4308. [PubMed] [Google Scholar]
- 131. Bizley JK, Nodal FR, Bajo VM, Nelken I, King AJ (2007) Physiological and anatomical evidence for multisensory interactions in auditory cortex. Cereb Cortex 17: 2172–2189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Falchier A, Schroeder CE, Hackett TA, Lakatos P, Nascimento-Silva S, et al. (2010) Projection from Visual Areas V2 and Prostriata to Caudal Auditory Cortex in the Monkey. Cereb Cortex 20: 1529–1538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Bizley JK, King AJ (2009) Visual influences on ferret auditory cortex. Hear Res 258: 55–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Wong M, Bhattacharjee A (2011) How does the Visual Cortex of the Blind Acquire Auditory Responsiveness? Front Neuroanat 5: 52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135. Klinge C, Eippert F, Roder B, Buchel C (2010) Corticocortical connections mediate primary visual cortex responses to auditory stimulation in the blind. J Neurosci 30: 12798–12805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Merabet LB, Pascual-Leone A (2010) Neural reorganization following sensory loss: the opportunity of change. Nat Rev Neurosci 11: 44–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Cappe C, Rouiller EM, Barone P (2009) Multisensory anatomical pathways. Hear Res 258: 28–36. [DOI] [PubMed] [Google Scholar]
- 138. Allman BL, Keniston LP, Meredith MA (2009) Adult deafness induces somatosensory conversion of ferret auditory cortex. Proc Natl Acad Sci U S A 106: 5925–5930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Merabet LB, Hamilton R, Schlaug G, Swisher JD, Kiriakopoulos ET, et al. (2008) Rapid and reversible recruitment of early visual cortex for touch. PLoS ONE 3: e3046. [DOI] [PMC free article] [PubMed] [Google Scholar]
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