Figures
Abstract
Over three months of intensive training with a tactile stimulation device, 18 blind and 10 blindfolded seeing subjects improved in their ability to identify geometric figures by touch. Seven blind subjects spontaneously reported ‘visual qualia’, the subjective sensation of seeing flashes of light congruent with tactile stimuli. In the latter subjects tactile stimulation evoked activation of occipital cortex on electroencephalography (EEG). None of the blind subjects who failed to experience visual qualia, despite identical tactile stimulation training, showed EEG recruitment of occipital cortex. None of the blindfolded seeing humans reported visual-like sensations during tactile stimulation. These findings support the notion that the conscious experience of seeing is linked to the activation of occipital brain regions in people with blindness. Moreover, the findings indicate that provision of visual information can be achieved through non-visual sensory modalities which may help to minimize the disability of blind individuals, affording them some degree of object recognition and navigation aid.
Citation: Ortiz T, Poch J, Santos JM, Requena C, Martínez AM, Ortiz-Terán L, et al. (2011) Recruitment of Occipital Cortex during Sensory Substitution Training Linked to Subjective Experience of Seeing in People with Blindness. PLoS ONE 6(8): e23264. https://doi.org/10.1371/journal.pone.0023264
Editor: Chris I. Baker, National Institute of Mental Health, United States of America
Received: December 11, 2010; Accepted: July 14, 2011; Published: August 10, 2011
Copyright: © 2011 Ortiz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This research has been made possible through grants from the Fundación Esther Koplowitz (grant #EK-4131306) and Instituto Madrileño de Desarrollo (IMADE)/Madrid Regional Government (Spain) (grant #IMADE-4131307). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Cross-modality sensory stimulation may offer a good opportunity to improve recognition, localization and navigation in blind people. A coherent and unified perceptual experience is created by the brain with multisensorial input [1]–[3], although the neural substrate of this multimodality integration is not yet fully understood yet. Some areas of the brain, mainly the lateral occipital cortex, are specialized for visual object recognition and can be activated by tactile stimuli [4]–[6]. This activation of the visual cortex might lead to visual-like perception, regardless of the sensory input modality [3].
In the blind the high demand required by object recognition appears to also recruit ventral and dorsal occipital areas [7]. Blindness modifies neocortical processing of non-visual tasks, including frontoparietal and visual regions during tactile stimulation [8]. Some authors have reported sources of connections in bilateral primary somatosensory cortex as well as in inferior temporal areas during tactile stimulation in blind subjects, and have also found that the age of onset of blindness could affect the set of areas involved [8]. It is also known that people with blindness proficient in the use of a visuo-tactile sensory substitution device that presents visual images as patterns of electric stimuli to the subject's tongue [9]–[10] show occipital cortex activation in an orientation-discrimination task [10].
Evoked potentials are useful to study brain activity triggered by external stimuli using surface recordings. Around 50 msec after stimulation, and even earlier, primary somatosensory cortical activation is normally found. In the case of tactile stimuli, this happens in parietal areas contralateral to the stimulated hand. Circa 100 msec shape and object automatic recognition takes place as well in somatosensory areas. After 300 msec some activity related to objects with poor-defined identity happens, as well as some matching between perception and stored representations in cognitive processing in prefrontal areas [11]–[17]. As in the case of imaging studies, ERP-based results suggest that tactile inputs could produce occipital cortex activation in the blind [18].
However, there are no published studies aimed at understanding the relationship between activation of lateral occipital cortex and the ability to recognize objects presented to the hand along time. Thus, we tested if repetitive passive tactile stimulation leads to activation of visual areas and recognition of spatial patterns in people with blindness.
We used passive repetitive tactile stimulation over a period of 3 months, one hour a day for five days a week, with vertical, horizontal and oblique lines generated randomly by a tactile stimulator. Our aims were (a) to study if repetitive tactile stimulation can create cross-modality and improve recognition and localization of patterns in blind people, and (b) to evaluate the impact of this training on brain activity. We performed EEG recording during the initial stimulation session and in the last session.
Materials and Methods
Subjects
After a call for volunteers was made, we studied 18 blind subjects (13 men, 5 women) that were recruited consecutively from the National Organization of Spanish Blind to participate in the study, plus10 controls (blindfolded seeing normal individuals, 4 men and 6 women) of similar ages to the blind group, who had no visual deficit at all and had no previous history of synesthesias. All participants were informed of the nature and purpose of the experiment and all gave their written informed consent. Whenever minors were consented, both the minor and his/her legal representative were informed, minors' assented and their legal representatives consented in written form acknowledging the minors assent as well. The study was approved by the Hospital Clínico San Carlos Clinical Research Bioethical Committee (Universidad Complutense, Madrid, Spain) committee/institutional review board and consent adhered to the Declaration of Helsinki. Participants had no history of neurological, psychiatric, cognitive or sensorimotor deficits, other than blindness. They all had normal EEGs at baseline.
Nine subjects had early onset blindness (loss of vision before 5 years of age) while the rest, but one, were late blind, having lost their sight after age 15. Four subjects had absolute congenital blindness (from birth), ten had no residual vision at all at the time of our study, while eight had minimal residual vision. Causes of blindness were diverse: congenital nystagmus, glaucoma, retinopathy, congenital cataracts, lenticular fibroplasia, macular degeneration, optic atrophy, Peter's anomaly with microphtalmia, retinal detachment, retina necrosis, retinitis pigmentosa and uveitis (Table 1).
All of the blind subjects were initially considered as a single category, but they were later classified into two groups according to the subjective report, or its absence, of visual-like perception. Group 1 (G1, seven blind participants who reported visual sensations, mean age = 32.83, SD = 15.78); Group 2 (G2, eleven blind who did not and even denied visual sensations when explicitly asked, mean age = 46.99, SD = 13.03); and Group 3 (G3, ten blindfolded subjects with no visual deficit, mean age = 39.12, SD = 11.17).
All but three subjects were right-handed and were stimulated on the palm of their right hand. The left-handed individuals underwent the procedure on their left hands (video S1, supplementary material).
Stimuli
All subjects underwent intensive training in the use of a tactile sensory device. The stimulation program was completed over a period of three months and involved daily sessions five days a week (Monday to Friday). The control group (G3) underwent exactly the same protocol but they were blindfolded just before each training session until the session ended.
Training consisted of repetitive tactile stimulation with lines oriented vertically, horizontally or obliquely in a random fashion, using a tactile piezoelectric device. Each line was presented for 300 msec at 40 Hz, and followed by a blank pause of 700 msec; hence each direction repeated during one second. The frequency of 40 Hz was chosen based upon the findings that thalamo-cortical connections fire at 40 Hz [19]–[20].
Each stimulation session lasted 60 minutes and included the presentation of approximately 3600 stimuli per session. The generation of repetitive passive tactile stimuli was achieved using a single tactile piezoelectric device with 1536 stimulation points (i.e., a tactile matrix with 32×48 pixels). Each nylon point had a 1.3 mm diameter and they were spaced every 2.4 mm, equally in both dimensions. The device generated a 5 cms double line made up 30 dots each (60 dots in total). The dots of each line were stimulated simultaneously, not directionally. Each point was individually controlled both in height (.0 or 0.7 mm) and frequency (40 Hz) by a custom developed software program.
Technique
EEG was recorded with a 32 channel Neuronic Medicid Equipment using a standard 10–20 electrocap. We used 32 channels (Fz, pFz, Cz, pCZ, Pz, Oz, Fp1, Fp2, F3, F4, F7, F8, PF3, PF4, pC3, C4, PC4, T1, T2, T3, T4, T3A, T4A, T5, T6, P3, P4, O1 and O2) from the standard 10–20 electrocap. Impedance of all electrodes was kept below 5 kΩ. The electrooculogram (EOG) was recorded with two pairs of leads in order to register horizontal and vertical eye movement. Data were recorded using a mastoid electrode as reference. Sampling rate was 1000 Hz. Amplifier frequency bands were set between 0.05–30.0 Hz.
Source localization
Low-resolution electromagnetic tomography (LORETA) was applied to each individual event-related potential (ERP) recording to identify underlying brain electric sources of the scalp potentials. LORETA is a reverse solution method that computes the three-dimensional distribution of neural generators in the brain as a current density value (A/m2), for a total of 2394 voxels, with the constraint that neighbouring voxels show maximal similarity. This analysis was realized for a time window of 20 msc (between −10 and +10 msc starting from the high amplitude peak measured from the Pz electrode) (Figure 1). Brain volume anatomical restrictions were applied for cerebral electrical tomography (CET) calculations and an average brain template was used. CET data were analyzed in the time domain and tomography was calculated for each instance separately.
(A) A tactile piezoelectric device with 1536 stimulation points of stimulation is used (B) on the dominant hand, being applied on the palm. (C) EEG is then recorded with a 32 channel-cap. (D) The electrophysiological response of the evoked potential N100 component was measured in each task. Only frequent stimuli responses were analyzed. The time frame to analyze the N100 component was 80–140 ms and it was determined by searching for the maximal amplitude in the respective time window at the Pz electrode. The LORETA analysis was made opening a time window of −10 to +10 ms starting from the high amplitude pick measured in Pz electrode.
Source analysis under model (anatomic construction) was obtained using the traditional LORETA method [21]. Different models were defined by constraining the source to one anatomic compartment, chosen using the probabilistic brain atlas (PBA) [22]–[23] and Brodmann atlas.
Behavioral and EEG measurements
Subjects were instructed to simply experience the stimulation and try to identify the line orientation. Subjects were not allowed to move their hand during the stimulation (video S1, supplementary material).
Both at baseline and the end of the tactile training program, all subjects were tested using a two-alternative forced-choice response task and underwent an ERP study.
For the behavioural assessment, subjects were asked to discriminate pairs of tactile stimuli: horizontal (80% of the stimuli, frequent) or oblique lines (20%, infrequent). The latter task required blind subjects to first detect each stimulus; they were then asked to exclusively respond to the oblique lines by pressing a button. Subjects' responses, errors and response times were collected for further analysis.
For the ERP study, EEG recording was performed in a soundproof room with dim lighting. Subjects were comfortably seated and were instructed to stay awake, keep their eyes open and avoid abrupt movements. Only non-target trials (horizontal lines) were considered for ERP N100 latency (N100) analysis in order to avoid contamination with motor neural activation during response production. Epochs were 1000 msec in duration with a 200 msec pre-stimulus interval and a post-stimulus length of 800 msec. Baseline was defined as the average voltage over the period from 200 msec prior to stimulus onset.
Data analysis
In order to establish if there were significant differences in reaction time (RT) and N100, before and after training (pre-test and post-test) in each group, paired t-tests were used. Linear regression analyses and Pearson correlation coefficients were carried out to examine the relationships between pre-test and post-test values of the variables RT and N100 in each group. Evaluation of differences between groups due to the training was done using a repeated-measures mixed-effects model. The between-subjects factor was the group (G1, G2 and G3) and the within-subjects factor was the time while the repeated measures were the RT and N100. Statistical analyses were conducted using SPSS and Statgraphics Plus software.
Source analysis for each participant was carried out (Figures S1, S2 and S3, supplementary material). G1, G2 and G3 means (LORETA) were calculated for baseline (pre-test) and final evaluation (post-test), respectively. In each group, voxel-by-voxel Statistical Mapping (SM) was computed to find the activated sources mean differences between pre-test and post-test. Dependent Hotteling 2 test for multiple comparison of pre-test and post-test within each group and independent Hotteling 2 test for inter-groups comparison (G1 vs G2, G1 vs G3 and G2 vs G3) within each state were used. In both instances these parameters were considered: degrees of freedom and threshold values for α<0.05, <0.01 and <0.001).
Results
Behavioural results
The behavioural results demonstrate that over three months of tactile stimulation training, blind participants (G1 and G2), as well as the blindfolded seeing controls (G3), demonstrated an increase in tactile discriminative ability. Before training, G1 and G2 subjects made an average 15% of omission errors (failures to recognize the tactile stimuli) and reported incorrect line orientations in an additional 7% of stimuli (identification errors). At the end of the experiment, there were on average less than 1% omission errors and less than 1% identification errors in G1 and G2. Average omission errors before training in G3 (blindfolded control group) were 17% while at the end of the experiment errors were reduced to 2%.
During the last three weeks of the experiment seven individuals (G1) reported that they were seeing lights or brief flashes of light (phosphenes) while undergoing the tactile stimulation. These phosphenes appeared to become elongated into lines and eventually appeared vertical, horizontal or oblique, consistent with the tactile stimuli presented. In almost all cases, the perceived visual sensations matched the presented tactile stimuli (<1% mistakes within G1) and appeared to become more and more vivid with time. At this stage an open narrative account was taken from this group who experienced visual qualia. Moreover, the vividness of the visual percepts eventually was spontaneously reported as much greater than the tactile sensations, which appeared to lose saliency in four of these seven subjects (Table 1). None of G2 or G3 subjects reported phosphenes or any other visual-like sensations.
As it can be inferred from Table 1, no obvious pattern, either epidemiological or clinical, can distinguish those blind subjects who experienced visual qualia (G1) from those who did not (G2), except their age of onset of blindness (Table 1, 9.8 vs 16.15, respectively). It is worth noting the four individuals suffering from absolute blindness from birth belong to G2, as well as most of late onset of blindness subjects. On the contrary G1 includes several subjects with no residual vision and several who had become blind in early childhood.
ERP and RT results
N100 and RT means and standard deviations, pre-test and post-test, for each group are shown in Table 2.
Paired t-tests shows statistically significant differences only for N100 in G1 (p = 0.024), that is to say, N100 latency in G1 decreased significantly because of training.
The relationship between pre-test and post-test values for N100 and RT was investigated using linear regression analyses in the three groups. Figure 2 shows the results of these findings. In both G1 and G2, a negative trend is observed for N100. There is an inverse correlation between pre-test and post-test N100 values indicating a tendency for decreased N100 post-test when N100 pre-test increases, and viceversa. G3, on the contrary, shows an opposite pattern since the pre-test and post-test N100 values are positively correlated. However, this effect is not statistically significant, according to a t-test of the slope of the regression line, in all groups (all p>0.14), with correlation coefficients r = −0.47 in G1 and G2 and r = 0.42 in G3.
The results for the variable RT are more homogeneous in all groups as the correlation is positive in all of them, but not statistically significant in G1 and G2 (both p>0.16) with correlation coefficients r = 0.47 and r = 0.45 respectively. However this effect is statistically significant in G3 where a strong linear relationship is observed between the pre-test and post-test RT values (p<0.0001) with a correlation coefficient r = 0.98.
To evaluate the effects of training, a repeated-measures mixed-effects model was used. Figure 3 shows the means plot for N100. The three groups exhibit a divergent behaviour along time, which suggests a possible interaction N100*group effect.
Statistical analysis shows differences close to statistical significance amongst N100 means along time (F = 4.12, p = 0.053). The interaction N100*group is also close to being statistically significant (F = 2.70, p = 0.087). Finally, the group effect is not significant (F = 0.45, p = 0.641).
Training effect upon N100 was previously studied in every group separately (Table 2). Group effect analysis is rather futile as G1 and G2 did not have similar N100 start-offs. The interaction N100*group is very important for our study and it is close to statistical significance. It seems the possibility of repeating this analysis with a larger sample size could be very useful.
Figure 4 shows the means plot for RT. The three groups exhibit a similar behaviour along time so there was no apparent RT*group interaction. There are significant differences between RT means along time (F = 6.82, p = 0.015) and the interaction RT*group is not statistically significant (F = 0.36, p = 0.702). Again, the group effect is not significant (F = 1.68, p = 0.207). The first result shows that, as a whole, the training effect is significant. The previous analysis using paired t-test for each group, separately, showed no significant differences (all p>0.05).
Source localization
As illustrated in Figure 5, between pre-test and post-test, people with blindness who experienced visual-like percepts have a shift in maximal intensity projection cortical areas after repetitive tactile stimulation, from temporal-parietal (auditive, tactile) to occipital (visual) ones, between pre-test and post-test. In fact, the greatest activation in G1 pre-test is found exclusively in temporal areas (right inferior temporal, right mid-temporal lobes and left superior temporal). G1 post-test maximal activation is identified in bilateral calcarine and lingual areas. On the other hand, G2 pre-test maximal activation is seen in frontal middle orbital, medial superior frontal and anterior cingular areas, all of them bilaterally, as well as right superior and middle temporal areas. G2 post-test is found to be in middle orbital and medial superior frontal areas, both bilaterally, as well as in bilateral anterior cingulate cortex. G2 does not show any occipital pole activation whatsoever. G3 pre-test maximal activation is localized in the left middle and superior temporal areas and does not show any occipital pole activation. G3 post-test maximal activation is found in the cunneus, precunneus and calcarine areas, all of them bilaterally.
Maximal intensity projection areas are displayed in red. Lower row show Statistical Mapping (SM) dependent Hotelling T2 significant differences maps between pre-test and post-test in each group.
Using SM significant differences between pre-test and post-test for each group are found in G1 in BA 17, 18, 19, 9 and 46, in G2 in BA 4, 9 and 39, and in G3 in BA 21, 22, 7, 17, 18 and 48 (Figure 5). Clusters of significant voxels, as well as a brief description of the anatomic localization, are summarized in Table 3.
Figure 6 illustrates significant differences inter-groups. There are significant differences in pre-test between G2 and G3, but not between G1 and G2 or G1 and G3. There are also significant differences in post-test between all the groups (G1 and G2, G1 and G3, G2 and G3). During the pre-test, those significant differences happen in BA 5, 7, 19 and 37. With regards to the post-test, significant differences between G1 and G2 are in BA 17. Between post-test G1 and G3, differences happen in BA 39, 32, 11 and 10. Finally, significant post-test differences between G2 and G3 are in BA 40, 39, 36, 35, 19 and 18. Significant differences between groups either in pre-test or post-test are summarized in Table 4.
LORETA mean maps obtained with independent Hotelling T2.
Discussion
After tactile passive repetitive training during an extended (3 months) intensive period people with blindness who spontaneously report visual sensations (G1) exhibited a much shorter RT, considerably decrease in N100 latency and, in parallel with their visual sensations, an activation of the occipital lobe. However no activation of the occipital cortex was found in those blind subjects who did not report any visual qualia (G2), the subjective experience of seeing. We postulate that activation of the occipital cortex, by tactile stimuli results in visual qualia in some blind subjects. Functional activation of the visual cortex by non-visual tactile stimulation has been reported in people with blindness [18], [24]–[33], or with normal vision [17]. Our finding is in tune with other researchers who have stated that massive plasticity in visual cortex for the blind for tactile object recognition does happen [7], [34], [35]. Thus novel evidence linking activity in early visual cortex with visual qualia is provided [33]. Specifically, we show that extended tactile training for several months leads to cross-modal stimulation of occipital cortex and visual-like perception.
It seems as if subjects in G1 ‘learned’ a synesthetic perception with repeated stimulation. It is rather interesting that in G1 subjects tactile sensation decreased when the visual qualia became prominent (Table 1), consistent with maximal activation of visual areas and lack of activation of parietal tactile areas. G2 and G3 subjects experienced exclusively tactile sensations throughout the experiment, again consistent with parietal lobe activation. Thus persistent tactile sensation (at subjective level) seems to preclude the experience of phosphenes. Our study supports the idea that sensory input in one modality can give rise to a percept in another sensory domain, and that the latter can attenuate the subjective percept of the former through training.
There was a frontal activity in G2, both in pre-test and post-test, which did not happen in the other two groups. An increased attentional process may have played a role and, in fact, the four blinds from birth within G2 had a very marked frontal activity (Figure S2, supplementary material). Previous literature [36] has suggested congenitally blind humans exhibit middle temporal cortex (hMT+) and occipital recruitment. Our study replicates the hMT+ finding, yet all blinds from birth in our study belonged to G2 and failed to show occipital activation or experience visual qualia.
In two groups (G2 and G3) the training program did not elicit changes in the pattern of EEG activation or the subjective experience of the stimulation. One possible explanation for this finding that would account for the disparity between the group memberships (i.e., blind subjects vs. normal seeing controls), takes into account the stability of brain networks including the primary visual cortex. Indeed, whenever there has likely been a well established neuronal network, such as in subjects with late blindness, or complete lack of visual input because of congenital blindness, cross-modal connectivity failed to occur. The issue of congenitally blind still remains controversial, as our findings (blind subjects from birth did not experience visual qualia and their occipital areas were not activated) are not fully concordant with previous research [37].
In normal subjects (G3) at baseline many areas were greatly activated and they were widely distributed, but the pattern of activation (and the number of significantly activated brain regions) was reduced after the training protocol. Though habituation may have played a role in this shift in controls, the initial novelty of line orientation information provided in a non-visual fashion to otherwise normally sighted people may be another explanation for the initial high activation. G3 post-test results may indicate a more efficient way of dealing with tactile stimulation through learning. In sighted subjects, early recruitment of primary visual cortex for tactile processing has been found over a few days of blindfolding and intensive tactile training, or auditory training [7], [38]–[44].
In all groups we found that the pre-test activation of the temporal middle complex was significantly reduced after extended training (post-test). Temporal areas are linked to auditive perception, highly enhanced in people with blindness. Moreover, blind subjects display a higher activation of multiple sensory cortical areas than sighted people [45]. A possible explanation for this phenomenon is that tactile training may refine the way the tactile signal is processed through a more efficient brain organization. Therefore, it may functionally deactivate the temporal areas as these may not serve spatial processing. In our study this happens within a wide distribution of ages, which points towards the idea that brain re-organization in blind people has no expiry date, contrary to what has recently been stated by other researchers [46].
In contrast to previous literature [37], we found that people with congenital blindness may be less capable of cross-modality. On the other hand, our results are consistent with previous studies in reporting visual cortex activation after tactile information in early sight deprivation [10], [24], [25]–[27], [37], [47]. Our results also replicate that occipital activity patterns elicited by tactile inputs are clearly more prominent in subjects with early blindness than in late onset of blindness [25], [48].
Our findings in blind subjects who experienced cross-modal induction of visual percepts (G1) also replicate the “visual” matching of the shape of the stimulus [10]. These G1 subjects had an increased activity in striate areas after the training program was completed. Given the fact these areas were not activated at the beginning, it is reasonable to speculate that some form of neuroplasticity may have taken place. Other authors [49], using a two-session auditory-visual and visuotactile training, have hypothesized that promoting efficient functional development of the ventral pathway in the absence of vision can create vision in the brain. Recruitment of visual areas for non-visual tasks is most likely mediated through increased cortico-cortical connectivity [10], [29], [50]. In G1 all subjects but one had early onset of blindness while G2, with one exception, was made of subjects with either late onset of blindness or congenital one. This might mean that, in most cases, tactile training induced cross-modal neuroplasticity in visual areas and that this neuroplasticity would require some, although not excessive, previous stimulation of the visual pathway.
Other authors [28] have stated that haptic and visual neuronal networks may be shared, at least in those familiar issues, as in the case of lines in different orientations after thousands of stimuli. We have also found that other extrastriate areas participate in the recognition of spatial orientation (Table 3, Fig. 5) [51]. Previous literature [52], [53] suggested that, despite occipital cortex volume reduction, blind subjects have visual cortex activation following somatosensory input guided tasks, consistent with re-organization of the visual cortex afferent and efferent neural pathways [54]. We found this to be the case in blind subjects who experienced cross-modal visual qualia (G1), but not in those fail to do so (G2). On the other hand, normal blindfolded seeing controls (G3) have occipital cortex activation during tactile stimulation. This poses the question whether there is a multimodal brain network for spatial information, independent of the sensory modality input. Some authors have suggested primary visual cortex may be part of this multimodal brain network in congenitally blind subjects [38].
Taking into account evidence from human electrophysiology, neuropsychology and animal studies, some authors have suggested that the brain integrates congruent different sensory modalities and that this integration starts as early as 100 ms after stimulus presentation [55]. The N100 component of tactile evoked potentials is an early peak, thought to arise from activation of primary somatosensory cortex [55], [56]. The shortening of the N100 latency we found in G1 presumably reflects increased co-ordinated firing of thalamo-cortical ensembles of neurons in response to the tactile stimuli [57]. On the other hand, a reduction in N100 latency as a consequence of repeated stimulation has been described with increased familiarization with the physical characteristics of a stimulus [58]. Moreover, the greatest improvement starting with greater N100 latency values happen in G1 (Fig. 2). This also points in the direction previously mentioned that the functional network of G1 subjects may be less efficient at pre-training level, perhaps due to lesser stimulation in earlier life, but it is far more plastic. Perhaps this reduction in N100 latency might help to improve the performing in recognition percept, something that could be particularly useful for blind people in high-speed motion targets. In our view, the simplest explanation is that, at the beginning of tactile stimulation, blind subjects activate a broader range of available neuronal circuits to compensate for their visual loss. As passive repetitive tactile training continues, the brain in the person with blindness re-organizes itself by tuning the input towards areas more efficient in spatial processing, prominently occipital cortex.
A few caveats are in order. First, we used a limited set of EEG channels because this was the only one available for us at the time. Second, it remains to be established whether the nature of tactile stimuli or the intensity and repetitive training fashion are critical for obtaining the observed effect. Third, other neuroimaging techniques, such as resting fMRI, default state or coherence analysis, for example, could throw more conclusive data on the newer neuroplasticity. Another limitation is the restriction to a 3-month training period. We do not know if further changes may occur should the passive tactile training continue for a longer duration. Importantly, the most relevant findings are derived from post-hoc analysis. Therefore, no predictive analysis of regression or otherwise could be run. Finally, we studied a limited sample. This is particularly critical in the case of the four subjects included in our study who suffer from congenital blindness as the previous organization of visual cortical columns may be a limiting factor in this domain. Future studies should address, with a larger sample, which blind individuals are more likely to experience visual qualia and to what extent these qualia may affect spatial-processing.
Supporting Information
Figure S1.
Maximal cortical intensity projection in each Group 1 (G1) subject. Cortical intensity projection (LORETA) mean maps obtained in pre-test and post-test in each subject.
https://doi.org/10.1371/journal.pone.0023264.s001
(TIF)
Figure S2.
Maximal cortical intensity projection in each Group 2 (G2) subject. Cortical intensity projection (LORETA) mean maps obtained in pre-test and post-test in each subject.
https://doi.org/10.1371/journal.pone.0023264.s002
(TIF)
Figure S3.
Maximal cortical intensity projection in each Group 3 (G3) subject. Cortical intensity projection (LORETA) mean maps obtained in pre-test and post-test in each subject.
https://doi.org/10.1371/journal.pone.0023264.s003
(TIF)
Video S1.
Blind volunteer subject undergoing EEG testing during the passive tactile training during week 12. At the end of the interview the principal investigator (Prof Ortiz) asks him, in Spanish, about his experience while his hand was stimulated. Sub-titres translate into English the conversation between both.
https://doi.org/10.1371/journal.pone.0023264.s004
(M4V)
Acknowledgments
The authors want to thank Professor Gabriel A. de Erausquin (University of Southern Florida, USA) and Ms. Donna van Meer (Washington University, St Louis, USA) for their invaluable help in the preparation and correction of this manuscript.
Author Contributions
Conceived and designed the experiments: TO JP JMS. Performed the experiments: TO CR AMM LO-T. Analyzed the data: TO JP JMS AT JB AP-L. Contributed reagents/materials/analysis tools: JP RN. Wrote the paper: TO JMS AMM AT AP-L. Provided engineering support and ad-hoc software development for the experiment: RN AC JMM JLC.
References
- 1. Amedi A, Malach R, Pascual-Leone A (2005) Negative BOLD differentiates visual imagery and perception. Neuron 48: 859–872.
- 2. Beauchamp MS (2005) See me, hear me, touch me: multisensory integration in lateral occipital-temporal cortex. Curr Opin Neurobiol 15: 145–153.
- 3. Amedi A, Stern WM, Camprodon JA, Bermpohl F, Merabet L, et al. (2007) Shape conveyed by visual-to-auditory sensory substitution activates the lateral occipital complex. Nat Neurosci 10: 687–689.
- 4. Malach R, Reppas JB, Benson RR, Kwong KK, Jiang H, et al. (1995) Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex. Proc Natl Acad Sci USA 92: 8135–8139.
- 5. Amedi A, Malach R, Hendler T, Peled S, Zohary E (2001) Visuo-haptic object-related activation in the ventral visual pathway. Nat Neurosci 4: 324–330.
- 6. Amedi A, Jacobson G, Hendler T, Malach R, Zohary E (2002) Convergence of visual and tactile shape processing in the human lateral occipital complex. Cereb Cortex 12: 1202–1212.
- 7. Amedi A, Raz N, Azulay H, Malach R, Zohary E (2010) Cortical activity during tactile exploration of objects in blind and sighted humans. Restor Neurol Neurosci 28: 143–156.
- 8. Stilla R, Hanna R, Hu X, Mariola E, Deshpande G, et al. (2008) Neural processing underlying tactile microspatial discrimination in the blind: a functional magnetic resonance imaging study. J Vis 8: 1–19.
- 9. Bach-y-Rita P, Kercel S (2003) Sensory substitution and the human-machine interface. Trends Cogn Sci 7: 541–546.
- 10. Ptito M, Moesgaard SM, Gjedde A, Kupers R (2005) Cross-modal plasticity revealed by electrotactile stimulation of the tongue in the congenitally blind. Brain 128: 606–614.
- 11. Bar M, Kassam KS, Ghuman AS, Boshyan J, Schmid AM, et al. (2006) Top-down facilitation of visual recognition. Proc Natl Acad Sci USA 103: 449–454.
- 12. Peltier S, Stilla R, Mariola E, LaConte S, Hu X, et al. (2007) Activity and effective connectivity of parietal and occipital cortical regions during haptic shape perception. Neuropsychologia 45: 476–483.
- 13. Deshpande G, Hu X, Stilla R, Sathian K (2008) Effective connectivity during haptic perception: A study using Granger causality analysis of functional magnetic resonance imaging data. Neuroimage 40: 1807–1814.
- 14. Deshpande G, Hu X, Lacey S, Stilla R, Sathian K (2010) Object familiarity modulates effective connectivity during haptic shape perception. Neuroimage 49: 1991–2000.
- 15. Sehatpour P, Molholm S, Schwartz TH, Mahoney JR, Mehta AD, et al. (2008) A human intracranial study of long-range oscillatory coherence across a frontal-occipital-hippocampal brain network during visual object processing. Proc Natl Acad Sci USA 105: 4399–4404.
- 16. Lacey S, Tal N, Amedi A, Sathian K (2009) A putative model of multisensory object representation. Brain 21: 269–274.
- 17. Lucan JN, Foxem JJ, Gomez-Ramirez M, Sathian K, Molholm S (2010) Tactile shape discrimination recruits human lateral occipital complex during early perceptual processing. Human Brain Mapping 31: 1813–1821.
- 18. Uhl F, Franzen P, Lindinger G, Lang W, Deecke L (1991) On the functionality of the visually deprived occipital cortex in early blind persons. Neurosci Lett 124: 256–259.
- 19. Llinás RR, Ribary U (1998) Temporal conjunction in thalamocortical transactions. Adv Neurol 77: 95–102.
- 20. Ribary U (2005) Dynamics of thalamo-cortical network oscillations and human perception. Prog Brain Res 150: 127–42.
- 21. Pascual-Marqui RD, Michel CM, Lehmann D (1994) Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol 18: 49–65.
- 22. Collins DL, Neelin P, Peters TM, Evans AC (1994) Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J Comput Assist Tomogr 18: 192–205.
- 23. Mazziotta JC, Toga AW, Evans A, Fox P, Lancaster J (1995) A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM). Neuroimage 2: 89–101.
- 24. Kupers R, Fumal A, de Noordhout AM, Gjedde A, Schoenen J, et al. (2006) Transcranial magnetic stimulation of the visual cortex induces somatotopically organized qualia in blind subjects. Proc Natl Acad Sci USA 103: 13256–13260.
- 25. Sadato N, Pascual-Leone A, Grafman J, Ibañez V, Deiber MP, et al. (1996) Activation of the primary visual cortex by Braille reading in blind subjects. Nature 380: 526–528.
- 26. Büchel C, Price C, Frackowiak RS, Friston K (1998) Different activation patterns in the visual cortex of late and congenitally blind subjects. Brain 121: 409–419.
- 27. Burton H, Snyder AZ, Diamond J, Raichle ME (2002) Adaptive changes in early and late blind: a fMRI study of verb generation to heard nouns. J Neurophysiol 88: 3359–3371.
- 28. Gizewski ER, Gasser T, de Greiff A, Boehm A, Forsting M (2003) Cross-modal plasticity for sensory and motor activation patterns in blind subjects. Neuroimage 19: 968–975.
- 29. Burton H, Sinclair RJ, McLaren DG (2004) Cortical activity to vibrotactile stimulation: an fMRI study in blind and sighted individuals. Hum Brain Mapp 23: 210–228.
- 30. Cohen LG, Weeks RA, Sadato N, Celnik P, Ishii K, et al. (1999) Period of susceptibility for cross-modal plasticity in the blind. Ann Neurol 45: 451–460.
- 31. De Volder AG, Toyama H, Kimura Y, Kiyosawa M, Nakano H, et al. (2001) Auditory triggered mental imagery of shape involves visual association areas in early blind humans. Neuroimage 14: 129–139.
- 32. Lacey S, Flueckiger P, Stilla R, Lava M, Sathian K (2010) Object familiarity modulates the relationship between visual object imagery and haptic shape perception. Neuroimage 49: 1977–1990.
- 33. Matteau I, Kupers R, Ricciardi E, Pietrini P, Ptito M (2010) Beyond visual, aural and haptic movement perception: hMT+ is activated by electrotactile motion stimulation of the tongue in sighted and in congenitally blind individuals. Brain Res Bull 82: 264–270.
- 34. Lewis LB, Saenz M, Fine I (2010) Mechanisms of cross-modal plasticity in early blind subjects. J Neurophysiol 104: 2995–3008.
- 35. Kitada R, Kito T, Saito DN, Kochiyama T, Matsumura M, et al. (2006) Multisensory activation of the intraparietal area when classifying grating orientation: a functional magnetic resonance imaging study. J Neurosci 26: 7491–7501.
- 36. Noppeney U (2007) The effects of visual deprivation on functional and structural organization of the human brain. Neurosci Biobehav Rev 31: 1169–1180.
- 37. Ptito M, Kupers R (2005) Cross-modal plasticity in early blindness. J Integr Neurosci 4: 479–88.
- 38. Ptito M, Schneider FC, Paulson OB, Kupers R (2008) Alterations of the visual pathways in congenital blindness. Exp Brain Res 187: 41–49.
- 39. Kupers R, Chebat DR, Madsen KH, Paulson OB, Ptito M (2010) Neural correlates of virtual route recognition in congenital blindness. Proc Natl Acad Sci USA 107: 12716–12721.
- 40. Wittenberg GF, Werhahn KJ, Wassermann EM, Herscovitch P, Cohen LG (2004) Functional connectivity between somatosensory and visual cortex in early blind humans. Eur J Neurosci 20: 1923–1927.
- 41. Shimony JS, Burton H, Epstein AA, McLaren DG, Sun SW, Snyder AZ (2006) Diffusion tensor imaging reveals white matter reorganization in early blind humans. Cereb Cortex 16: 1653–1661.
- 42. Sadato N, Okada T, Honda M, Yonekura Y (2002) Critical period for cross-modal plasticity in blind humans: a functional MRI study. Neuroimage 16: 389–400.
- 43. Amedi A, Raz N, Pianka P, Malach R, Zohary E (2003) Early ‘visual’ cortex activation correlates with superior verbal memory performance in the blind. Nat Neurosci 6: 758–766.
- 44. De Volder AG, Catalan-Ahumada M, Robert A, Bol A, Labar D, et al. (1999) Changes in occipital cortex activity in early blind humans using a sensory substitution device. Brain Res 826: 128–134.
- 45. Merabet LB, Maguire D, Warde A, Alterescu K, Stickgold R, et al. (2004) Visual hallucinations during prolonged blindfolding in sighted subjects. J Neuroophthalmol 24: 109–113.
- 46. De Santis L, Spierer L, Clarke S, Murray MM (2007) Getting in touch: Segregated somatosensory what and where pathways in humans revealed by electrical neuroimaging. Neuroimage 37: 890–903.
- 47. De Santis L, Clarke S, Murray MM (2007) Automatic and Intrinsic Auditory “What” and “Where” Processing in Humans Revealed by Electrical Neuroimaging. Cerebral Cortex 17: 9–17.
- 48. Murray MM, De Santis L, Thut G, Wylie GR (2009) The costs of crossing paths and switching tasks between audition and vision. Brain and cognition 69: 47–55.
- 49. Sathian K, Stilla R (2010) Cross-modal plasticity of tactile perception in blindness. Restor Neurol Neurosci 28: 271–281.
- 50. Ward J, Meijer P (2010) Visual experiences in the blind induced by an auditory sensory substitution device. Conscious Cogn 19: 492–500.
- 51. Hötting K, Rösler F, Röder B (2003) Crossmodal and intermodal attention modulate event-related brain potentials to tactile and auditory stimuli. Exp Brain Res 148: 26–37.
- 52. Rosburg T, Boutros NN, Ford JM (2008) Reduced auditory evoked potential component N100 in schizophrenia—a critical review. Psychiatry Res 161: 259–274.
- 53. Pedroarena C, Llinás R (1997) Dendritic calcium conductances generate high-frequency oscillation in thalamocortical neurons. Proc Natl Acad Sci USA 94: 724–728.
- 54. Budd TW, Barry RJ, Gordon E, Rennie C, Michie PT (1998) Decrement of the N1 auditory event-related potential with stimulus repetition: habituation vs. refractoriness. Int J Psychophysiol 31: 51–68.
- 55. Ortiz T, Poch-Broto J, Requena C, Santos JM, Martínez A, et al. (2010) Brain neuroplasticity in occipital areas in blind teenagers. Rev Neurol 50: S19–S23.
- 56. Poirier C, De Volder AG, Scheiber C (2007) What neuroimaging tells us about sensory substitution. Neurosci Biobehav Rev 31: 1064–1070.
- 57. Pascual-Leone A, Hamilton R (2001) The metamodal organization of the brain. Prog Brain Res 134: 427–445.
- 58. Bedny M, Konkle T, Pelphrey K, Saxe R, Pascual-Leone A (2010) Sensitive period for a multimodal response in human visual motion area MT/MST. Curr Biol 20: 1900–1906.