| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
1Perceptual Neuroimaging Laboratory, Department of Psychology and Program in Neuroscience, Boston University, Boston; 2Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; and 3Center for Non-Invasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
Submitted 3 August 2006; accepted in final form 20 November 2006
 |
ABSTRACT |
|---|
 TOP ABSTRACT INTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
|
INTRODUCTION |
|---|
|
TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
; Schroeder and Foxe 2005; Sur and Leamey 2001). For example, after prolonged visual deprivation, visual cortex is recruited in a compensatory manner to process both tactile and auditory information (Burton et al. 2002; Gougoux et al. 2004; Kujala et al. 1995; Roder et al. 2002; Sadato et al. 1996). However, the extent of early visual cortex's involvement in cross-modal processing in sighted subjects remains contentious, especially the possible involvement of primary visual area V1 (Amedi et al. 2001, 2002; Burton et al. 2004, 2006; Macaluso et al. 2000; Merabet et al. 2004; Reed et al. 2004; Sathian et al. 1997; Van Boven et al. 2005; Weisser et al. 2005; Zangaladze et al. 1999; Zhang et al. 2005). This issue is further complicated by the wide variability between individuals in the size and location of retinotopically organized visual areas (Dougherty et al. 2003), which makes the localization of group-level activations problematic.
The cerebral networks and neuroplastic mechanisms underlying the cross-modal activation of sensory cortex remain unclear (see Bavelier and Neville 2002 for review). It has been suggested that top-down signals originating within multi-modal associative cortical areas may selectively recruit appropriate primary sensory areas (Macaluso et al. 2000). Alternatively, cross-modal activity may be mediated by plastic changes in subcortical pathways (Sur and Leamey 2001). However, there is little existing evidence to support this as a mechanism in the intact adult brain. Another possibility is the involvement of direct, long-range cortico-cortical pathways connecting primary sensory cortex with other sensory or multimodal cortices. This latter proposition has received support from both anatomical and connectivity studies demonstrating the existence of direct connections to V1 from both unimodal cortex and conventional multimodal areas (Cappe and Barone 2005; Clavagnier et al. 2004; Falchier et al. 2002; Negyessy et al. 2006; Rockland and Ojima 2003).
These models make different predictions about how cross-modal inputs may influence cortical activity across the sensory processing hierarchy. A hierarchical feedback model would suggest that the greatest cross-modal influences should be seen in higher sensory areas, analogous to the patterns of activity seen in studies of visual attention (Kastner et al. 1998; Somers et al. 1999), imagery (Kosslyn and Thompson 2003), and other classically "top-down" phenomena. Conversely, either a subcortical or a direct connectivity model allows for the possibility of "bottom-up" activation of primary sensory areas (Foxe and Schroeder 2005), without the necessary involvement of higher-order cortex. Importantly, these possibilities are not mutually exclusive: multiple pathways could carry distinct information (Schroeder and Foxe 2005) or act cooperatively or competitively to facilitate multisensory integration (Grossberg and Kuperstein 1989; Pouget et al. 2002).
In this study, we acquired retinotopic maps to precisely identify visual cortical areas within individual normally sighted subjects. These subjects then performed a tactile discrimination task while blindfolded. We find that tactile processing activates area V1, while higher extrastriate areas show a pattern of increasing blood-oxygen-level-dependent (BOLD) signal suppression as one ascends the visual cortical hierarchy. This pattern of activity is consistent with the combined effect of direct activation of primary visual cortex and top-down suppression of extrastriate cortex.
|
METHODS |
|---|
|
TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
Experiments were carried out in accordance with MR safety guidelines and National Institutes of Health standards for human studies and were approved by the Institutional Review Boards of Massachusetts General Hospital and Boston University. Twelve normally sighted subjects (aged between 20 and 32 yr, 11 right-handed) participated in the study.
Tactile stimuli and task
Stimuli consisted of seven tactile patterns of raised embossed dots. The dots were 1 mm in diameter, 2 mm in elevation, and arranged in tetragonal arrays the inter-dot spacing of which varied from 1 to 7 mm (Fig. 1A). Subjects performed two different tactile tasks using these stimuli, which have been described in detail previously (Connor et al. 1990; Merabet et al. 2004). Briefly, subjects judged either the perceived roughness or the inter-dot spacing of the tactile patterns. Task responses used a 1–4 rating scale with "1" representing most smooth, or closest spacing, and "4" representing roughest, or farthest spacing. During scanning, the subject's right hand was placed comfortably on an immobilizing plate, palm down, with the distal pad of the index finger extended so as to touch the presented patterns. Between trials, subjects raised their finger above the surface as the pattern was changed by the experimenter. Two scanning sweeps of the finger were allowed per presented pattern, after which subjects responded using a button box placed under their left hand. Two control conditions were used. In the "active" control condition, subjects were presented with a smooth surface (no dots), sweeping in the same fashion as with the tactile patterns while responding with random key presses. In the "passive" control condition, subjects rested without moving either hand. The four conditions occurred in 30-s blocks preceded by an auditory task cue. Subjects were blindfolded on being placed in the magnet, with the total time blindfolded averaging 
90 min. At no time prior to the scanning session were the subjects allowed to see the tactile stimuli.
|
MR images were acquired using a 3T Siemens Allegra scanner (Erlangen, Germany) located at the Martinos Center for Biomedical Imaging at Massachusetts General Hospital. Functional data were acquired with a custom-made surface coil (Nova Medical, Wilmington, MA) placed at the occipital pole and using a T2*-weighted echo planar imaging sequence (TR = 2.0 s, TE = 30 ms, 2.8 x 2.8 x 3.0 mm voxels, 0.3-mm interslice gap, 30 slices oriented perpendicular to the calcarine sulcus). The slice prescription extended anteriorly roughly to the central sulcus in most subjects.
Retinotopic mapping and region of interest (ROI) definition
Standard wedge (polar angle) and ring (eccentricity) checkerboard stimuli were presented during the retinotopic mapping sessions and were subsequently combined and averaged using previously described techniques (DeYoe et al. 1996; Engel et al. 1994, 1997; Sereno et al. 1995). Areas V1, V2, V3, V3A (Tootell et al. 1997), and hV4 (Brewer et al. 2005; Wade et al. 2002) were identified on the basis of these maps in all subjects. As the representations of the upper and lower visual field are not contiguous in areas V2 and V3, separate ROIs were defined for each quadrant in these areas and in area V1. In areas V3A and hV4, separate ROIs were defined for each cortical hemisphere. These regions represent the visual field from an eccentricity of 2° out to 12° visual angle. The representation of polar angle converges in a mathematical singularity at the fovea, and thus areal boundaries near the fovea are ill-defined. For this reason, the foveal representation was excluded from the defined ROIs. An alternative set of V1 ROIs that included the fovea were defined by interpolating areal boundaries across the foveal singularity, but this had a negligible effect on the average signal and did not alter any of the statistical conclusions. Therefore we report the results only for the more conservative ROI definitions.
Analysis
Data analysis used FreeSurfer software (Dale et al. 1999; Fischl et al. 1999a) and FS-FAST (FreeSurfer functional analysis stream; CorTechs, La Jolla, CA). Two runs from one subject exhibited substantial (>3 mm) motion artifacts and so were excluded from further analysis. After motion correction (Cox and Hyde 1997) and spatial smoothing (Gaussian kernel, 5.0 mm FWHM), voxel time courses for each individual subject were fit by a general linear model (GLM). Each experimental condition, plus the transient auditory cue that began each block, was modeled by a boxcar regressor matching the condition time course. These boxcar regressors were then smoothed by a canonical hemodynamic response function (Boynton et al. 1996). Individual subject maps for each contrast of interest (described in RESULTS) were generated by projecting the volume of significance values resulting from the GLM onto the reconstructed cortical surface mesh (Dale et al. 1999) for each hemisphere in each subject. These cortical meshes were then computationally inflated and flattened for display (Fischl et al. 1999a).
For population random-effects analysis, the volumes of regressor weights resulting from the individual subject GLMs were first projected onto the reconstructed cortical surfaces as in the preceding text. These individual cortical surfaces were then deformed into a common spherical coordinate system (Fischl et al. 1999a,b). Group analysis used a summary statistic approach at the second level, with individual subject regressor weights combined at each vertex by a t-test for each contrast of interest. This generates a population t statistic map (df = 11) in spherical coordinates for each contrast. The significance maps derived from these statistics were then projected back onto the inflated cortical surface of a single representative subject for display.
To correct for multiple comparisons, the AFNI program AlphaSim (BD Ward, http://afni.nimh.nih.gov/) was used to establish clusterwise thresholds for the population maps based on Monte Carlo simulation of a smoothed null hypothesis data set (Forman et al. 1995). The Monte Carlo simulation generated random volumes of normally distributed values, which were then smoothed by a 5-mm FWHM kernel. The topmost 5% of simulated voxels (for a P value of 0.05) were considered to be active and assigned a value of 1 with the rest set to 0. These volumes were then masked to include only those voxels that intersected the reconstructed cortical surface, and the maximum cluster size of adjacent active simulated voxels was found. Over 1,000 iterations of this process, we found that under this simulated null hypothesis, a joint threshold of 340 mm2 cluster surface area and P < 0.05 pointwise significance was sufficient to establish a clusterwise significance level of P < 0.05. All reported activations outside retinotopic cortex are significant at this clusterwise level.
In the ROI-based analysis, the time series data for all voxels within an individual subject's ROI were first averaged together and then fit by the same GLM as used for the voxelwise individual subjects analysis described in the preceding text. The resulting parameter estimates, one per experimental condition per ROI per subject, were then normalized to percent signal change units and entered into a within-subjects ANOVA for second level group analysis, described in RESULTS.
|
RESULTS |
|---|
|
TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
; Merabet et al. 2004). Intermediate dot spacings were perceived as the roughest, whereas closely and widely spaced dot patterns felt comparatively smoother. In contrast, subjective spacing judgments increased linearly with actual dot spacing (see Fig. 1B). Cortical surface-based analysis
We investigated task-general and -specific tactile activation. Task-general activation was assessed by the contrast of the averaged spacing and roughness tasks versus the active control condition. Task-specific activation was assessed by the contrast of the spacing and roughness tasks. Random-effects analysis of the population data shows significant tactile task-general activation within the calcarine sulcus, coupled with extrastriate suppression (Fig. 2, A and B). This pattern of activity within retinotopically organized visual cortex is the main focus of this report and will be discussed in detail in the following text.
|
|
|
|
|
|
Visual cortical areas V1, V2, V3, V3A, and hV4 were identified bilaterally in each subject using retinotopic mapping techniques (see METHODS). Area V1 was bilaterally activated by the tactile tasks (combined tactile > active control) in 9 of 12 subjects. Statistical maps for single subjects show that this activation is largely restricted to area V1, with little or no activation observed in V2 (Fig. 3). No clear pattern of eccentricity-specific influences in V1 was observed. Specifically, four subjects showed robust activation relatively uniformly throughout V1; two subjects had activity concentrated at the foveal representation; and three subjects had strong parafoveal activation that largely spared the fovea.
|
) (the remaining 6 subjects did not view the LCMS due to time constraints). In all these subjects, MT+ was found to be significantly deactivated during tactile stimulation (Fig. 3).
ROIs for areas V1, V2, V3, V3A, and hV4 were defined within each subject for each visual field quadrant representation (left/right, dorsal/ventral) based on the retinotopic mapping data (see METHODS). Time courses extracted from these ROIs confirm the pattern of task-general tactile activation of V1 and deactivation of higher areas indicated by the statistical maps (Fig. 3). The average percent signal change data shows increasing task-related BOLD suppression as one ascends through the visual hierarchy from area V2 through V3 and V3A (Fig. 4A). To investigate the significance of this trend, as well as the possibility of effects based on laterality or differences between dorsal and ventral quadrant representations (Prather et al. 2004; Reed et al. 2005; Van Boven et al. 2005), the percent signal change data within areas V1–V3 were entered into a within-subjects ANOVA. Factors included in the ANOVA were area (V1, V2, V3), hemi (left, right), D/V (dorsal or ventral subregions), and task (spacing, roughness, active control) together with all interaction terms. The passive control condition defined the zero signal change baseline and so did not enter explicitly into the analysis. The analysis showed substantial main effects of area [F(2,22) = 19.4, P < 0.001] and D/V [F(1,11) = 25.0, P < 0.001] as well as significant task:area [F(4,44) = 26.8, P < 0.001] and task:D/V [F(2,22) = 12.8, P < 0.001] interactions and a marginally significant area:hemi interaction [F(2,22) = 3.5, P < 0.05]. The task:area interaction is of greatest interest and confirms the significance of the areal differences shown in Fig. 4A.
|
The unexpectedly large D/V effect reflected substantially lower activation (equivalently, increased suppression) in the dorsal quadrants relative to the ventral quadrants throughout these areas (Fig. 4A). The increased suppression seen in dorsal subregions could potentially represent a retinotopically specific modulation of the lower visual field (LVF) representation rather than an effect based on dorsal versus ventral stream anatomy. However, comparison of areas V3A and hV4 argues against this interpretation; although both areas contain contiguous representations of upper and lower visual quadrants, the dorsally located V3A shows far greater deactivation. Further subdividing these areas into quadrant ROIs reveals no significant differences in activation between the lower and upper visual field representations within these two areas, suggesting that the greater dorsal suppression reflects anatomical rather than retinotopic position.
There are two parsimonious hypotheses that can explain the observed pattern of occipital lobe activity. The single-source or disinhibition hypothesis states that occipital lobe receives only a single, deactivating source of tactile input that most strongly affects higher visual areas. In this model, the activation observed in V1 reflects disinhibition: if extrastriate cortex normally suppresses striate cortex, then deactivation of extrastriate cortex would release striate cortex from top-down inhibition, resulting in increased V1 activity overall. This hypothesis implies that greater deactivation of extrastriate cortex would result in greater activation within V1. Alternatively, the dual-source hypothesis states that occipital lobe receives two distinct sources of tactile input, a deactivating source that dominates extrastriate activity (as in the single-source hypothesis) and an additional activating source that most strongly influences striate cortex. The strong reciprocal connections between striate and extrastriate cortex suggest that these two inputs may compete for influence throughout the early visual areas. Thus the dual-source hypothesis predicts a positive correlation between extrastriate and striate activity. To test these hypotheses, we calculated the correlation between task-related signal change in areas V1 and V3 across individual subjects. Significant negative correlation would imply that greater V3 suppression is associated with greater V1 activation, in support of the disinhibition hypothesis. However, we instead find a significant positive correlation (Pearson's r = 0.78, P < 0.001), demonstrating that greater V3 suppression is associated with reduced V1 activation, and further suggesting that these areas are modulated by the same competitive network (Fig. 4B). Similar results are obtained comparing V1 and V2, and V1 and V3A/hV4. The positive correlation is consistent with the dual-source hypothesis while failing to support the disinhibition hypothesis.
Prior studies have shown that short-term blindfolding of sighted subjects leads to rapid increases in both the excitability of visual cortex (after 45 min) (Boroojerdi et al. 2000) and tactile acuity (after 90 min) (Facchini and Aglioti 2003). The tactile drive to area V1 in the present study may reflect this rapid cortical plasticity. This 90-min period of visual deprivation might unmask or facilitate preexisting tactile inputs to visual cortex (Pascual-Leone et al. 2005). Although the present study was not explicitly designed to test this rapid plasticity hypothesis, we were able to partially address this question by comparing data from the first half of each subject's session with the data from the second half of the session. The rapid plasticity hypothesis predicts that the amplitude of task-general V1 activation should be greater in the second half of the session for each subject. The V1 data support this hypothesis, showing a marginally significant increase in average tactile task amplitude (vs. passive control) across the session [1-tailed paired t-test, t(11) = 1.86; P = 0.045]. On the basis of this result, we entered the data from all ROIs into an ANOVA including the same factors as previously, with an additional factor of half (1st, 2nd). The main effect of half approached significance [F(1,11) = 3.23, P < 0.1]. All other previously reported effects remained significant. Although an intriguing finding, this issue deserves further investigation as we cannot rule out other possible causes for the increased responsiveness of visual cortex. We also note that the active control condition, which includes task-irrelevant tactile stimulation, shows a similar trend toward increased activation (P < 0.1).
|
DISCUSSION |
|---|
|
TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
The activation of primary visual cortex observed in the present study agrees with previous reports of calcarine activation during simple tactile discrimination tasks in individual sighted subjects (Burton et al. 2004, 2006; Weisser et al. 2005). Deactivation of occipital cortex during tactile tasks has also been previously observed (Kawashima et al. 1995; Sadato et al. 1996; Weisser et al. 2005). Here we extend these results by conclusively identifying in individual sighted subjects the visual areas modulated during tactile processing, demonstrating simultaneous activation of area V1 and suppression of extrastriate cortical areas.
Laurienti and coworkers have suggested that presenting unimodal stimuli will in general result in the cross-modal deactivation of nonmatching sensory areas. This deactivation of the unattended modality might result from either withdrawal of attention (Laurienti et al. 2002) or active attentional filtering. Consistent with this view, we observed a pattern of stronger deactivation in higher visual areas, suggesting the existence of a hierarchical feedback pathway operating most strongly through the dorsal stream. The strong activation observed in the intraparietal sulcus, a region involved in both attention and multi-sensory processing (Roland et al. 1998), represents a potential source of this hierarchical feedback.
More puzzling is the activation of area V1. Although it is tempting to invoke cognitive explanations such as visual imagery and/or attention, these mechanisms seem unlikely. Subjects were not allowed to view the stimuli beforehand, discouraging the use of imagery. Moreover, activation of V1 due to imagery or attention typically occurs only in concert with stronger activation of extrastriate cortex (Kastner et al. 1998; Kosslyn and Thompson 2003; Slotnick et al. 2005; Somers et al. 1999), unlike the deactivation observed here. Disinhibitory mechanisms are inconsistent with the inter-areal correlations that we observed. Rather we interpret the activation of area V1 as reflecting the operation of a second, distinct neural pathway arising from outside the traditional visual cortical hierarchy. Our methods do not permit identification of the source of these direct inputs, but candidate sources include long-range cortico-cortical connections from multimodal parietal areas (Rockland and Ojima 2003), somatosensory processing areas, or other primary sensory cortices (Cappe and Barone 2005; Clavagnier et al. 2004; Falchier et al. 2002). Our results support the view that multisensory interactions within primary sensory areas are mediated by a competing balance between this form of direct drive and potentially inhibitory top-down projections from associative cortical areas.
The precise functional role of area V1 and surrounding extrastriate areas in tactile processing at this time remains unclear. One speculation is that cross-modal sensory integration in normal individuals occurs not only in higher-order multimodal cortical areas but also directly involves what has been traditionally thought of as unimodal sensory cortex (Schroeder and Foxe 2005). Prior TMS studies provide evidence for the functional relevance of these areas to tactile processing in normally sighted subjects (Merabet et al. 2004; Zangaladze et al. 1999). Merabet and coworkers (2004) delivered repetitive TMS (rTMS) pulses targeting primary visual cortex bilaterally, finding a selective disruption of inter-dot spacing determinations but not roughness judgments. In the present study, comparison of roughness and spacing tasks revealed greater activation during spacing judgments along the left (contralateral) intraparietal sulcus, appearing to overlap an area previously found to be more active in tactile judgments of shape than of surface roughness (Roland et al. 1998); however, no such task-specific effects were found in early visual areas. This suggests an apparent discrepancy between the prior rTMS results and the present fMRI study. It is possible that the effects of rTMS may be mediated transsynaptically, leading to selective disruption of remote task sensitive regions such as IPS. However, even in left IPS the task-specific effect was substantially smaller than the prominent task-general tactile activation. In V1, we found significant but weak task-general activation; it is likely that a smaller underlying task-specific effect in V1, as was observed in left IPS, simply could not be resolved in the present study. This is consistent with the small magnitude of the effect observed previously by Merabet et al. (2004).
Outside of early visual cortex, we found strong task-general activation along IPS, an area commonly reported to be active during tactile processing (Amedi et al. 2002; Prather and Sathian 2002; Stoesz et al. 2003; Van Boven et al. 2005; Weisser et al. 2005; Zhang et al. 2005). An additional smaller locus of activity in ventral occipital/inferior temporal cortex was also observed. Although visual object processing regions have not been independently localized in these subjects, this ventral activation appears to lie in close proximity to visual cortical areas previously reported to be involved in tactile object recognition (Amedi et al. 2001, 2002; James et al. 2002; Pietrini et al. 2004; Prather and Sathian 2002; Reed et al. 2004; Stoesz et al. 2003). Previous studies have shown tactile activation of area MT+ during processing of moving or vibrating tactile stimuli (Burton et al. 2004; Hagen et al. 2002; Moore et al. 2005). In contrast, we observed MT+ to be deactivated in all six subjects in whom this region was individually localized. This lack of MT+ activation may be due to the fact that all tactile motion in the present study was self-produced rather than being externally imposed. Self-generated tactile motion (active touch) has been shown to lead to reduced cortical activation relative to external motion (Blakemore et al. 1998), although this distinction did not affect behavioral performance in a similar task (Vega-Bermudez et al. 1991). The areas of strong deactivation we observed outside of occipital cortex included many regions that are commonly found to be deactivated during attentionally demanding tasks (Binder et al. 1999; Fox et al. 2005).
The finding of activation in primary visual cortex during tactile stimulation in sighted subjects supports the hypothesis that enhanced cross-modal connectivity following profound sensory deprivation (Wittenberg et al. 2004) may be derived from preexisting sensorimotor processing networks found in the intact brain (Burton et al. 2004). It is likely that the same multimodal networks implicated in normal cross-modal sensory processing (Calvert 2001; Macaluso et al. 2000; Schroeder and Foxe 2005) are dramatically altered and expanded under the demanding conditions after sensory loss (Pascual-Leone et al. 2005). In the blind, activation of both striate and extrastriate areas has been reported during tactile processing (e.g., Burton et al. 2004, 2006). Here we demonstrate that in the sighted, striate activation is combined with extrastriate suppression. The positive correlation between activity levels in V1 and the extrastriate areas suggests that these areas remain functionally connected during tactile processing. Furthermore, we find a trend toward increased activation throughout visual cortex over the course of the scan session, consistent with an increase in occipital excitability (Boroojerdi et al. 2000) or an initial phase of rapid plasticity (Weisser et al. 2005) in response to short-term visual deprivation. This is consistent with the hypothesis that long-term visual deprivation could lead to a reversal of the extrastriate deactivation observed here. These results provide further support for the emerging view that cross-modal influences are present even at the earliest cortical stages of the intact visual system.
|
GRANTS |
|---|
|
TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
|
ACKNOWLEDGMENTS |
|---|
|
TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
|
FOOTNOTES |
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Address for reprint requests and other correspondence: L. B. Merabet, Dept. of Neurology, Beth Israel Deaconess Medical Center, 330 Brookline Ave., KS 430, Boston, MA 02215 (E-mail: lmerabet{at}bidmc.harvard.edu)
|
REFERENCES |
|---|
|
TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
|---|
Amedi A, Malach R, Hendler T, Peled S, Zohary E. Visuo-haptic object-related activation in the ventral visual pathway. Nat Neurosci 4: 324–330, 2001.[CrossRef][ISI][Medline]
Bavelier D, Neville HJ. Cross-modal plasticity: where and how? Nat Rev Neurosci 3: 443–452, 2002.[ISI][Medline]
Binder JR, Frost JA, Hammeke TA, Bellgowan PS, Rao SM, Cox RW. Conceptual processing during the conscious resting state. A functional MRI study. J Cogn Neurosci 11: 80–95, 1999.
Blakemore SJ, Wolpert DM, Frith CD. Central cancellation of self-produced tickle sensation. Nat Neurosci 1: 635–640, 1998.[CrossRef][ISI][Medline]
Boroojerdi B, Bushara KO, Corwell B, Immisch I, Battaglia F, Muellbacher W, Cohen LG. Enhanced excitability of the human visual cortex induced by short-term light deprivation. Cereb Cortex 10: 529–534, 2000.
Boynton GM, Engel SA, Glover GH, Heeger DJ. Linear systems analysis of functional magnetic resonance imaging in human V1. J Neurosci 16: 4207–4221, 1996.
Brewer AA, Liu J, Wade AR, Wandell BA. Visual field maps and stimulus selectivity in human ventral occipital cortex. Nat Neurosci 8: 1102–1109, 2005.[CrossRef][ISI][Medline]
Burton H, McLaren DG, Sinclair RJ. Reading embossed capital letters: an fMRI study in blind and sighted individuals. Hum Brain Mapp 27: 325–339, 2006.[CrossRef][ISI][Medline]
Burton H, Sinclair RJ, McLaren DG. Cortical activity to vibrotactile stimulation: an fMRI study in blind and sighted individuals. Hum Brain Mapp 23: 210–228, 2004.[CrossRef][ISI][Medline]
Burton H, Snyder AZ, Diamond JB, Raichle ME. Adaptive changes in early and late blind: a FMRI study of verb generation to heard nouns. J Neurophysiol 88: 3359–3371, 2002.
Calvert GA. Crossmodal processing in the human brain: insights from functional neuroimaging studies. Cereb Cortex 11: 1110–1123, 2001.
Cappe C, Barone P. Heteromodal connections supporting multisensory integration at low levels of cortical processing in the monkey. Eur J Neurosci 22: 2886–2902, 2005.[CrossRef][ISI][Medline]
Clavagnier S, Falchier A, Kennedy H. Long-distance feedback projections to area V1: implications for multisensory integration, spatial awareness, and visual consciousness. Cogn Affect Behav Neurosci 4: 117–126, 2004.[Medline]
Connor CE, Hsiao SS, Phillips JR, Johnson KO. Tactile roughness: neural codes that account for psychophysical magnitude estimates. J Neurosci 10: 3823–3836, 1990.[Abstract]
Cox RW, Hyde JS. Software tools for analysis and visualization of fMRI data. NMR Biomed 10: 171–178, 1997.[CrossRef][ISI][Medline]
Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9: 179–194, 1999.[CrossRef][ISI][Medline]
DeYoe EA, Carman GJ, Bandettini P, Glickman S, Wieser J, Cox R, Miller D, Neitz J. Mapping striate and extrastriate visual areas in human cerebral cortex. Proc Natl Acad Sci USA 93: 2382–2386, 1996.
Dougherty RF, Koch VM, Brewer AA, Fischer B, Modersitzki J, Wandell BA. Visual field representations and locations of visual areas V1/2/3 in human visual cortex. J Vis 3: 586–598, 2003.[CrossRef][ISI][Medline]
Engel SA, Glover GH, Wandell BA. Retinotopic organization in human visual cortex and the spatial precision of functional MRI. Cereb Cortex 7: 181–192, 1997.
Engel SA, Rumelhart DE, Wandell BA, Lee AT, Glover GH, Chichilnisky EJ, Shadlen MN. fMRI of human visual cortex. Nature 369: 525, 1994.[CrossRef][Medline]
Facchini S, Aglioti SM. Short term light deprivation increases tactile spatial acuity in humans. Neurology 60: 1998–1999, 2003.
Falchier A, Clavagnier S, Barone P, Kennedy H. Anatomical evidence of multimodal integration in primate striate cortex. J Neurosci 22: 5749–5759, 2002.
Fischl B, Sereno MI, Dale AM. Cortical surface-based analysis. II. Inflation, flattening, and a surface-based coordinate system. Neuroimage 9: 195–207, 1999a.[CrossRef][ISI][Medline]
Fischl B, Sereno MI, Tootell RB, Dale AM. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum Brain Mapp 8: 272–284, 1999b.[CrossRef][ISI][Medline]
Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magn Reson Med 33: 636–647, 1995.[ISI][Medline]
Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA 102: 9673–9678, 2005.
Foxe JJ, Schroeder CE. The case for feedforward multisensory convergence during early cortical processing. Neuroreport 16: 419–423, 2005.[CrossRef][ISI][Medline]
Gougoux F, Lepore F, Lassonde M, Voss P, Zatorre RJ, Belin P. Neuropsychology: pitch discrimination in the early blind. Nature 430: 309, 2004.[Medline]
Grossberg S, Kuperstein M. Neural Dynamics of Adaptive Sensory-Motor Control. New York: Pergamon, 1989.
Hagen MC, Franzen O, McGlone F, Essick G, Dancer C, Pardo JV. Tactile motion activates the human middle temporal/V5 (MT/V5) complex. Eur J Neurosci 16: 957–964, 2002.[CrossRef][ISI][Medline]
James TW, Humphrey GK, Gati JS, Servos P, Menon RS, Goodale MA. Haptic study of three-dimensional objects activates extrastriate visual areas. Neuropsychologia 40: 1706–1714, 2002.[CrossRef][ISI][Medline]
Kastner S, De Weerd P, Desimone R, Ungerleider LG. Mechanisms of directed attention in the human extrastriate cortex as revealed by functional MRI. Science 282: 108–111, 1998.
Kawashima R, O'Sullivan BT, Roland PE. Positron-emission tomography studies of cross-modality inhibition in selective attentional tasks: closing the "mind's eye." Proc Natl Acad Sci USA 92: 5969–5972, 1995.
Kosslyn SM, Thompson WL. When is early visual cortex activated during visual mental imagery? Psychol Bull 129: 723–746, 2003.[CrossRef][ISI][Medline]
Kujala T, Huotilainen M, Sinkkonen J, Ahonen AI, Alho K, Hamalainen MS, Ilmoniemi RJ, Kajola M, Knuutila JE, Lavikainen J, Salonen O, Simola J, Standertskjold-Nordenstam C-G, Tiitinen H, Tissari SO, Naatanen R. Visual cortex activation in blind humans during sound discrimination. Neurosci Lett 183: 143–146, 1995.[CrossRef][ISI][Medline]
Laurienti PJ, Burdette JH, Wallace MT, Yen YF, Field AS, Stein BE. Deactivation of sensory-specific cortex by cross-modal stimuli. J Cogn Neurosci 14: 420–429, 2002.
Macaluso E, Frith CD, Driver J. Modulation of human visual cortex by crossmodal spatial attention. Science 289: 1206–1208, 2000.
Merabet L, Thut G, Murray B, Andrews J, Hsiao S, Pascual-Leone A. Feeling by sight or seeing by touch? Neuron 42: 173–179, 2004.[CrossRef][ISI][Medline]
Moore CI, Nelson AJ, Cheney CA, Crosier E, Dale A, Merzenich M, Savoy R, Greve D. Activity in human MT+ driven by spatially stable vibrotactile stimuli. Soc Neurosci Abstr 985.19, 2005.
Negyessy L, Nepusz T, Kocsis L, Bazso F. Prediction of the main cortical areas and connections involved in the tactile function of the visual cortex by network analysis. Eur J Neurosci 23: 1919–1930, 2006.[CrossRef][ISI][Medline]
Pascual-Leone A, Amedi A, Fregni F, Merabet LB. The plastic human brain cortex. Annu Rev Neurosci 28: 377–401, 2005.[CrossRef][ISI][Medline]
Pietrini P, Furey ML, Ricciardi E, Gobbini MI, Wu WH, Cohen L, Guazzelli M, Haxby JV. Beyond sensory images: Object-based representation in the human ventral pathway. Proc Natl Acad Sci USA 101: 5658–5663, 2004.
Pouget A, Deneve S, Duhamel JR. A computational perspective on the neural basis of multisensory spatial representations. Nat Rev Neurosci 3: 741–747, 2002.[CrossRef][ISI][Medline]
Prather SC, Sathian K. Mental rotation of tactile stimuli. Brain Res Cogn Brain Res 14: 91–98, 2002.[CrossRef][Medline]
Prather SC, Votaw JR, Sathian K. Task-specific recruitment of dorsal and ventral visual areas during tactile perception. Neuropsychologia 42: 1079–1087, 2004.[CrossRef][ISI][Medline]
Reed CL, Klatzky RL, Halgren E. What vs. where in touch: an fMRI study. Neuroimage 25: 718–726, 2005.[CrossRef][ISI][Medline]
Reed CL, Shoham S, Halgren E. Neural substrates of tactile object recognition: an fMRI study. Hum Brain Mapp 21: 236–246, 2004.[CrossRef][ISI][Medline]
Rockland KS, Ojima H. Multisensory convergence in calcarine visual areas in macaque monkey. Int J Psychophysiol 50: 19–26, 2003.[CrossRef][ISI][Medline]
Roder B, Stock O, Bien S, Neville H, Rosler F. Speech processing activates visual cortex in congenitally blind humans. Eur J Neurosci 16: 930–936, 2002.[CrossRef][ISI][Medline]
Roland PE, O'Sullivan B, Kawashima R. Shape and roughness activate different somatosensory areas in the human brain. Proc Natl Acad Sci USA 95: 3295–3300, 1998.
Sadato N, Pascual-Leone A, Grafman J, Ibanez V, Deiber MP, Dold G, Hallett M. Activation of the primary visual cortex by Braille reading in blind subjects. Nature 380: 526–528, 1996.[CrossRef][Medline]
Sathian K. Visual cortical activity during tactile perception in the sighted and the visually deprived. Dev Psychobiol 46: 279–286, 2005.[CrossRef][ISI][Medline]
Sathian K, Zangaladze A, Hoffman JM, Grafton ST. Feeling with the mind's eye. Neuroreport 8: 3877–3881, 1997.[ISI][Medline]
Schroeder CE, Foxe J. Multisensory contributions to low-level, "unisensory" processing. Curr Opin Neurobiol 15: 454–458, 2005.[CrossRef][ISI][Medline]
Sereno MI, Dale AM, Reppas JB, Kwong KK, Belliveau JW, Brady TJ, Rosen BR, Tootell RB. Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. Science 268: 889–893, 1995.
Slotnick SD, Thompson WL, Kosslyn SM. Visual mental imagery induces retinotopically organized activation of early visual areas. Cereb Cortex 15: 1570–1583, 2005.
Somers DC, Dale AM, Seiffert AE, Tootell RB. Functional MRI reveals spatially specific attentional modulation in human primary visual cortex. Proc Natl Acad Sci USA 96: 1663–1668, 1999.
Stoesz MR, Zhang M, Weisser VD, Prather SC, Mao H, Sathian K. Neural networks active during tactile form perception: common and differential activity during macrospatial and microspatial tasks. Int J Psychophysiol 50: 41–49, 2003.[CrossRef][ISI][Medline]
Sur M, Leamey CA. Development and plasticity of cortical areas and networks. Nat Rev Neurosci 2: 251–262, 2001.[CrossRef][ISI][Medline]
Tootell RB, Mendola JD, Hadjikhani NK, Ledden PJ, Liu AK, Reppas JB, Sereno MI, Dale AM. Functional analysis of V3A and related areas in human visual cortex. J Neurosci 17: 7060–7078, 1997.
Tootell RB, Reppas JB, Kwong KK, Malach R, Born RT, Brady TJ, Rosen BR, Belliveau JW. Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging. J Neurosci 15: 3215–3230, 1995.[Abstract]
Van Boven RW, Ingeholm JE, Beauchamp MS, Bikle PC, Ungerleider LG. Tactile form and location processing in the human brain. Proc Natl Acad Sci USA 102: 12601–12605, 2005.
Vega-Bermudez F, Johnson KO, Hsiao SS. Human tactile pattern recognition: active versus passive touch, velocity effects, and patterns of confusion. J Neurophysiol 65: 531–546, 1991.
Wade AR, Brewer AA, Rieger JW, Wandell BA. Functional measurements of human ventral occipital cortex: retinotopy and colour. Philos Trans R Soc Lond B Biol Sci 357: 963–973, 2002.[CrossRef][ISI][Medline]
Weisser V, Stilla R, Peltier S, Hu X, Sathian K. Short-term visual deprivation alters neural processing of tactile form. Exp Brain Res 166: 572–582, 2005.[CrossRef][ISI][Medline]
Wittenberg GF, Werhahn KJ, Wassermann EM, Herscovitch P, Cohen LG. Functional connectivity between somatosensory and visual cortex in early blind humans. Eur J Neurosci 20: 1923–1927, 2004.[CrossRef][ISI][Medline]
Zangaladze A, Epstein CM, Grafton ST, Sathian K. Involvement of visual cortex in tactile discrimination of orientation. Nature 401: 587–590, 1999.[CrossRef][Medline]
Zhang M, Mariola E, Stilla R, Stoesz M, Mao H, Hu X, Sathian K. Tactile discrimination of grating orientation: fMRI activation patterns. Hum Brain Mapp 25: 370–377, 2005.[CrossRef][ISI][Medline]
This article has been cited by other articles:
|
|
 |
|
  M. Dieterich and T. Brandt Functional brain imaging of peripheral and central vestibular disorders Brain, May 30, 2008; (2008) awn042v1. [Abstract] [Ful |
