Skip to main content
Download PDF

Electrical neuroimaging evidence that spatial frequency-based selective attention affects V1 activity as early as 40-60 ms in humans

BMC Neuroscience volume 11, Article number: 59 (2010) Cite this article

Abstract

Background

Karns and Knight (2009) [1] demonstrated by using ERP and gamma band oscillatory responses that intermodal attention modulates visual processing at the latency of the early phase of the C1 response (62-72 ms) thought to be generated in the primary visual cortex. However, the timing of attentional modulation of visual cortex during object-based attention remains a controversial issue.

Results

In this study, EEG recording and LORETA source reconstruction were performed. A large number of subjects (29) and of trial repetitions were used (13,312). EEG was recorded from 128 scalp sites at a sampling rate of 512 Hz. Four square-wave gratings (0.75, 1.5, 3, 6 c/deg) were randomly presented in the 4 quadrants of the visual field. Participants were instructed to pay conjoined attention to a given stimulus quadrant and spatial frequency. The C1 and P1 sensory-evoked components of ERPs were quantified by measuring their mean amplitudes across time within 5 latency ranges 40-60, 60-80, 80-100, 100-120 and 120-140 ms.

Conclusions

Early attention effects were found in the form of an enhanced C1 response (40-80 ms) to frequency-relevant gratings. LORETA, within its spatial resolution limits, identified the neural generators of this effect in the striate cortex (BA17), among other areas.

Background

Neurons in the primary visual cortex (area V1) not only code simple features but also whether image elements are attended to or not [2]. However, the timing of such attentional modulation is not well understood and there is no agreement in the literature. For example, it is believed that when they are not altogether absent [3–5], attentional effects are weaker [6, 7] in V1 than in associative visual areas [7–9] and occur after an additional delay. Several fMRI studies have reported robust effects of attention on V1 responses, demonstrating that attentional selection operates very early in the visual pathway [10]. According to Pessoa and coworkers [11], V1 attention effects are sometimes observed with fMRI but not with other techniques because they do not take place during the initial stimulus-related response (60-90 ms), as shown by combined fMRI/EEG and MEG studies [12], but at longer latencies in the time range 150-250 ms. According to these authors, it appears that V1 is "reactivated" in the 150-250 ms post-stimulus time range within the focus of spatial attention [8], as a sort of re-entrant feedback. In addition, some data from electrophysiological and fMRI recordings clearly indicate that spatial selection is faster and more effective than feature-based attention [13, 14].

As for the timing of attentional modulation, the ERP technique is a valuable investigative tool because of its optimal temporal resolution, which, combined with modern source reconstruction techniques (such as LORETA [15]), can be informative about both the time course of attentional selection and the identification of underlying neural structures.

Indeed, while it is likely that space-based attention can modulate the extra-striate and even striate visual cortex [1, 16] at a very early latency [17], numerous ERP studies have attempted to identify the stage at which attention can select non-spatial properties of the stimulus without reaching clear converging evidence. Harter and Previc [18] first attempted to assess the effects of selective attention on the activity of cortical size channels, finding an increase in amplitude of the selection negativity (SN) as early as 160 ms to attended check sizes. More recently, an ERP study with checkerboard stimuli [19] showed that the earliest signs of selective attention to check size consisted of an occipital selection negativity (OSN) at about 140 ms and a frontal selection positivity (FSP) somewhat earlier, at 120 ms. Similarly, in two studies involving selective attention to spatial frequency [20] and a given conjunction of spatial frequency and orientation [21], an attention-related anterior positivity was found at about 120 ms latency; this preceded a posterior selection negativity just after 200 ms.

A different ERP investigation of selective attention for low vs. high spatial frequency [22] showed that while attended high spatial frequency stimuli elicited an early negative difference potential (ND120) starting at about 100 ms, attended low spatial frequency stimuli elicited a positivity (PD130) in the same latency range. The neural sources of both effects were estimated by dipole modelling to lie in the extrastriate visual occipital areas, while the C1 component (60-100 ms) generated in the striate (and extrastriate) cortex was not affected by attention to spatial frequencies, according to the authors.

On the other hand, a number of other ERP studies have identified earlier P1 selective attention effects for object-based characteristics such as colour [23], colour and movement [24], check size and grating spatial frequency [25–27], transparent motion [28] and orientation [29]. Furthermore, Proverbio and Zani recently found spatial-frequency [30, 31] and shape-based [32] attentional modulations of the P/N80 (C1) component as early as 60 ms, and interpreted this finding as a clear indication of striate modulation.

The possible reasons for these differences among findings and inconsistencies in the ERP literature have been widely discussed elsewhere [32] and range from large inter-individual variability in the morphology of VEPs and their attention effects, to a variety of methodological factors including differences among studies in stimulus presentation rate (e.g. too fast), inter-stimulus interval (e.g. too short: 200-500 ms in [9]; 300-550 ms in [22]), contrast and luminance levels, duration (e.g. too short: 50 ms in [9]), excessive filtering or adjar adjustments.

The overall aim of the present experiment was to investigate this matter further by using high density EEG recording from a large number of right-handed viewers engaged in a selective attention task requiring them to attend to both spatial frequencies and locations of gratings. In order to optimize the signal to noise ratio (and pick up the tiny V1 attentional modulation), large numbers of subjects (twenty-nine) and of trial repetitions were used in this study (13,312 stimulus repetitions per subject). In addition, swLORETA source reconstruction techniques were employed on the difference-waves of interest to identify the neural bases of spatial frequency-based attention effects.

It was expected that selective attention would affect early-latency responses at the level of the C1 response, a component of the VEP considered to indicate the initial afference of retinotopic regions in the human visual cortex (V1) [33], with an onset over the central parieto-occipital scalp between 45 and 60 ms. A similar outcome was recently found for the attentional modulation of Gabor pattern luminance [16].

Methods

Participants

Twenty-nine university students (13 males and 16 females) ranging in age from 20 to 30 years; mean age = 23.23 years) took part in this experiment as volunteers. All participants had a normal or corrected-to-normal vision with right eye dominance. They were strictly right-handed as assessed by the Edinburgh Inventory and none of them had any left-handed relatives. Experiments were conducted with the understanding and written consent of each participant according to the Declaration of Helsinki (BMJ 1991; 302: 1194) with approval from the Ethical Committee of the Italian National Research Council (CNR) and in compliance with APA ethical standards for the treatment of human volunteers (1992, American Psychological Association). Subjects gained academic credits for their participation. The data of three subjects were subsequently discarded because of excessive eye-movements.

Stimuli and Procedure

Participants were seated in a dimly lit, electrically shielded cubicle and gazed binocularly on a fixation point permanently present in the centre of a visual display situated 114 cm in front of them. They were instructed to avoid any kind of eye or body movement. Four square-wave luminance-modulated vertical gratings were used as stimuli. Gratings produced stimulation at 0.75, 1.5, 3, 6 c/deg visual angle. Contrast was 40% and presentation duration was 80 ms. The patterns (3.5° high × 5° wide) were replaced by an isoluminant grey field (35 cd/m2) for a randomly varying interval between 690 and 790 ms (SOA 770-870 ms). Stimulus and background had equal average luminance to avoid flash stimulation. Mean grating luminance (on average 43 cd/m2) was measured for each spatial frequency and space location using a Minolta CS-100 photometer. An ANOVA performed on luminance values showed no significant difference between stimuli, thus proving stimulus and background equiluminance.

The gratings were randomly presented in pattern-onset mode within the left and right upper and lower hemifields of a PC screen. Within each quadrant, grating stimulation began 2.5° above or below the horizontal meridian, and 1.5° lateral to the vertical meridian, and extended to 3.5° above or below the horizontal meridian and 5° along it.

Different conjoined selective attention conditions were administered in random order for 0.75 or 6 c/deg within each quadrant to each subject. Irrespective of target frequency, gratings of 1.5 and 3 c/deg always served as potential distracters. Before the beginning of each task condition, participants were instructed to pay conjoined attention to a spatial frequency within a given quadrant of visual space (e.g. 6 c/deg in the right upper field) and to ignore the other combinations of frequencies and quadrants. Thus, although the physical stimuli remained unchanged, attention shifted across spatial frequency and space location. In this way, the same stimulus in different attention conjunction conditions could be: (i) relevant in both spatial location and spatial frequency (L+F+); (ii) relevant in spatial location but irrelevant in spatial frequency (L+F-); (iii) irrelevant in spatial location but relevant in spatial frequency (L-F+); or (iv) irrelevant in both features (L-F-).

To monitor spatial and stimulus attention selectivity, the volunteers were instructed to press a button to targets as accurately and quickly as possible, allowing their reaction time (RT) to be recorded as well. For each stimulus target and quadrant, eight blocks of 208 trials were replicated. During a single block of trials, each of the four gratings (i.e. one target and three "distracters") was equiprobably presented 13 times within the four quadrants in a completely random sequence. Trial order changed randomly from block to block. In half the blocks, the participants pushed the detection-RT button with the index finger of the left hand, whereas in the other half they used the right hand. The order of hands was counterbalanced across participants. The order with which attention tasks were administered and spatial locations attended was counterbalanced across participants and experimental sessions. For each of the eight conjoined attention conditions, eight different blocks of trials were run for a total of 64 blocks per subject. Overall, the global time of EEG recording was about 6 hours (with a two-minute pause after each block and longer coffee/candy breaks every 10 blocks), so the experiment took place over two consecutive days. For each individual subject, 13,312 stimuli were presented and as many EEG epochs were obtained.

EEG recording and analysis

The EEG was continuously recorded from 128 sites at a sampling rate of 512 Hz (see Fig. 1 for a posterior view of electrode locations). Vertical eye movements were recorded by two electrodes placed below and above the right eye, while horizontal movements were recorded from electrodes placed at the outer canthi of the eyes. Linked ears served as the reference lead. The EEG and electro-oculogram (EOG) were amplified with a half-amplitude band pass of 0.016-100 Hz. Electrode impedance was kept below 5 kΩ. EEG epochs were synchronized with the onset of stimulus presentation and analyzed by ANT-EEProbe software. Computerized artefact rejection was performed before averaging to discard epochs in which eye movements, blinks, excessive muscle potentials or amplifier blocking occurred. EEG epochs associated with an incorrect behavioural response were also excluded. The artefact rejection criterion was a peak-to-peak amplitude exceeding 70 μV, and the rejection rate was ~5%. ERPs were averaged offline from -200 ms before to 800 ms after stimulus onset and were low-pass filtered up to 50 Hz offline. ERP components were identified and measured with reference to the average baseline voltage over the interval -100 ms to 0 ms relative to stimulus onset.

Figure 1
figure 1

Posterior view of electrode scalp sites (topographic map of brain activity to targets (85-90 ms).

Full size image

Topographical voltage maps of ERPs were made by plotting colour-coded isopotentials derived by interpolating voltage values between scalp electrodes at specific latencies. Low Resolution Electromagnetic Tomography (LORETA [15]) was performed on ERP difference waves at various time latencies. LORETA, which is a discrete linear solution to the inverse EEG problem, corresponds to the 3D distribution of electric neuronal activity that has maximum similarity (i.e. maximum synchronization), in terms of orientation and strength, between neighbouring neuronal populations (represented by adjacent voxels).

A realistic boundary element model (BEM) was derived from a T1 weighted 3D MRI data set by segmentation of the brain tissue. The BEM model consisted of one homogenic compartment made up of 3446 vertices and 6888 triangles. The head model was used for intra-cranial localization of surface potentials. Segmentation and head model generation were performed using the ASA package [34]. In this study an improved version of standardized low-resolution brain electromagnetic tomography (sLORETA) was used, which incorporates a singular value decomposition-based lead field weighting: (swLORETA)[35]. swLORETA is complemented by equivalent dipole modelling. The electromagnetic dipoles are shown as arrows and indicate the position, orientation and magnitude of the dipole modelling solution applied to the ERP difference wave in the specific time window. Source space properties were: grid spacing = 5 mm; estimated SNR = 3.

Average ERPs were obtained separately for each electrode site, spatial frequency, spatial location and attention conjunction condition. Only the ERPs to the lowest (i.e. 0.75 cpd) and highest (i.e. 6 cpd) spatial frequency were analyzed under the different attention conditions, since selective attention had to be paid uniquely to those frequencies, whereas the intermediate frequencies (i.e. 1.5 and 3 cpd) always had to be ignored by the subjects.

Since the main goal of the present study was to investigate the possible attention modulation of early sensory processing, the results reported here mainly concern the effects of attention on the amplitude of the earliest (C1) and following (P1) sensory-evoked components elicited by stimulus gratings at occipital leads. These sensory components were analyzed by automatically measuring their mean amplitudes across time within the five latency ranges 40-60, 60-80, 80-100, 100-120 and 120-140 ms post-stimulus (see Fig. 2).

Figure 2
figure 2

Enlargement of time scale to show the five time windows use to mean quantified C1 and P1 amplitude values. VEPs to 6 c/d gratings when relevant or irrelevant in spatial frequency.

Full size image

Separate six-way repeated-measure analyses of variance (ANOVAs) were performed on the mean values computed in the various time windows. Factors were: grating spatial frequency (0.75 and 6 c/deg), quadrant of visual field (upper left and right, lower left and right), location relevance (L+ = location relevant, L- = location irrelevant), frequency relevance (F+ = frequency relevant, F- = frequency irrelevant), electrode site (mesial occipitals: O1, O2; POO3 h POO4 h and lateral/occipitals PO3, PO4; PO7, PO8), and cerebral hemisphere (right and left).

For each participant, reaction times exceeding mean ± 2 standard deviations were excluded. Behavioural data underwent a four-way ANOVA whose factors of variability were: spatial frequency (0.75, 6 c/deg), hemifield (RVF, LVF), hemispace (upper, lower), hand of response (left, right). Possible type 1 errors associated with inhomogeneity of variance were controlled by the Greenhouse-Geisser procedure.

Post-hoc Tukey tests were used for multiple comparisons of means.

Results

Behavioral data

RTs were faster to 6 (507 ms) than 0.75 c/deg (513) gratings (F[1,25] = 3.943, p = 0.05). The interaction of spatial frequency × hemispace (F[1,25] = 21.591, p < 0.0001) indicated a frequency effect only for upper quadrants, with faster RTs to 6 (504 ms) rather than to 0. 75 c/deg gratings (515 ms) Accuracy data did not lead to any statistical significance (mean omission rate was 8.665%).

Electrophysiological data

Selective attention to spatial and non-spatial stimulus properties strongly modulated both early and late cognitive components, namely a selection negativity, in the form of enhanced N1 and N2 components, and a central P3 component larger to attentionally relevant than irrelevant stimuli (see waveforms in Fig. 3, for an example). For the sake of brevity, only early-latency attentional effects will be discussed in this paper.

Figure 3
figure 3

Grand-average ERPs averaged across all subjects and recorded at POz mesial occipital site in response to targets (L+F+) and gratings of the irrelevant frequency falling at the relevant location (L+F-), separately for each quadrant of visual field and gratings spatial frequency.

Full size image

C1 (40-60 ms)

Statistical analyses performed on the mean area amplitude of C1 within the 40-60 ms time window showed that electrode site was significant (F[3,72] = 32.27, p < 0.00001) with larger negativities to mesial occipital rather than lateral occipital sites. Frequency relevance × location relevance × quadrant also reached significance (F[1,24] = 4.54, p < 0.01). Post-hoc comparisons indicated significant frequency-relevant effects at the attended locations (see waveforms in Fig. 3) especially for gratings falling in the LVF. The further interaction of frequency relevance × location relevance × hemisphere (F[1,24] = 6.40, p < 0.02) indicated a significant frequency-relevant effect with more negative C1 to F+ than F- gratings at both attended and unattended locations over right hemispheric sites, and at the attended location over the left hemisphere.

Simple effects on C40-60 recorded separately to gratings of 0.75 vs 6 c/deg were also analyzed. This ANOVA was justified by the much smaller (although significant) frequency relevance effect for the lowest spatial frequency, with a bandwidth far from the range of optimal frequency stimulation for the human visual system. It is conceivable that V1 neural cells might discriminate and preferentially select optimal frequencies earlier than non-preferred frequencies. The ANOVA recorded on C1 values to 6/deg between 40 and 60 ms revealed a significant frequency relevance effect per se (F[1,25] = 5.58, p < 0.03), with more negative C1 values to F+ than F- gratings. Location relevance × frequency relevance × hemisphere (F[1,25] = 4.57, p < 0.04) and electrode (F[3,75] = 31.22, p < 0.00001) were also significant factors. The ANOVA performed for 0.75 c/deg showed an effect of quadrant × frequency relevance × hemisphere (F[3,72] = 3.23, p < 0.03). Post-hoc comparisons showed that frequency relevance was significant for LVF but not RVF gratings.

The interaction quadrant × electrode (F[9,216] = 2.11, p < 0.03) comparison showed that N40-60 was more negative to upper than to lower gratings especially at mesial occipital sites.

In order to investigate the neural bases of the frequency-based attention effect, especially for the optimal frequency (6/deg), a difference wave was computed by subtracting ERPs to frequency-irrelevant (F-) from those to relevant (F+) 6/deg gratings regardless of location relevance. A LORETA inverse solution was performed on the F +/- F- difference wave in the time window 40-60 ms. The neural generators explaining the surface difference voltages are displayed as scans (see Fig. 4) and their Tailarach coordinates are listed in Table 1.

Table 1 List of active LORETA sources explaining the difference voltage: relevant - irrelevant spatial frequency (40-60 ms) for 6 c/deg gratings.
Full size table
Figure 4
figure 4

swLORETA inverse solution performed on the difference wave F +/- F- in the time window 40-60 ms for 6/deg gratings. It is visible a source of activation in the primary visual cortex (right cuneus, BA17). Yellow arrows indicate electromagnetic dipoles. In the lower left, grand-average ERPs to F+ and F- 6/deg gratings recorded at POz site.

Full size image

The active sources included the right primary visual area (BA17), the lateral occipital area (BA19), the superior parietal lobule (BA7) and various dorsalateral prefrontal regions.

C1(60-80 ms)

ANOVA performed on the mean amplitude values recorded in the time window 60-80 ms confirmed an inversion of P/N80 as a function of vertical meridian and spatial frequency, visible in Fig. 5.

Figure 5
figure 5

ERPs recorded at OZ site in response to RVF upper and lower gratings as a function of spatial frequency. The P/N80 (C1) inversion in polarity as a function of upper vs. lower quadrant of stimulation is clearly visible.

Full size image

Indeed, gratings of 6 c/deg elicited a larger N80 than gratings of 0.75 c/deg, irrespective of the attention condition, as suggested by the significance of spatial frequency (F[1,25] = 6.65, p < 0.02). Similarly, gratings presented in the upper quadrants elicited larger negativities (N80) than gratings presented in the lower quadrants, which elicited a P80 response instead, as confirmed by the significance of quadrants (F[1,25] = 12.9, p < 0.00001). Overall, C1 was more negative at mesial occipital than lateral occipital sites, as demonstrated by the electrode factor (F[3,75] = 18.04, p < 0.00001). Frequency relevance was significant per se (F[1,25] = 4.28, p < 0.049), indicating larger N80 to frequency-relevant than irrelevant gratings, as mostly evident in the waveforms shown in Fig. 4. The tendency toward significance of the frequency relevance × spatial frequency analysis suggested that attention effects were stronger for 6 c/deg than 0.75 c/deg gratings (F[1,25] = 3.81, p < 0.06). The interaction of location relevance × frequency relevance (F[1,25] = 6.22, p < 0.02) indicated a stronger frequency-relevance effect within the attended location; there was no difference between the F+L- and F-L- conditions.

The interaction of spatial frequency × quadrant (F[3,75] = 15.52, p < 0.00001) indicated a stronger effect of horizontal meridian (upper vs. lower) on the P/N80 morphology for low spatial frequency gratings, which elicited an N80 in response to upper stimuli (-0.64 μV) and a P80 in response to lower stimuli (0.46 μV), whereas 6 c/deg spatial frequency gratings elicited N80 responses of different amplitude to both upper (-0.39 μV) and lower quadrant gratings (-0.20 μV).

The interaction of quadrant × hemisphere (F[3,75] = 29.07, p < 0.00001) showed that while N80 was ispilateral to the stimulus field, P80 was contralateral to it, as confirmed by significant post-hoc comparisons.

In order to investigate the neural bases of the frequency-based attention effect, a difference wave was computed by subtracting ERPs to frequency-irrelevant (F-) from ERPs to relevant (F+) gratings regardless of location relevance and stimulus spatial frequency. A LORETA inverse solution was performed on the F +/- F- difference wave in the time window 60-80 ms. The neural generators explaining the surface difference voltage are shown as scans (Fig. 6) and their Tailarach coordinates are listed in Table 2. The active sources included the right primary visual area (BA17), the lateral occipital area (BA18/19), the left parietal area (BA7/19) and various bilateral dorsalateral prefrontal, inferior frontal and superior frontal regions.

Table 2 List of active LORETA sources explaining the difference voltage: relevant - irrelevant spatial frequency (60-80 ms).
Full size table
Figure 6
figure 6

swLORETA inverse solution performed on the difference wave F +/- F- in the time window 60-80 ms. At this latency range a strong striate generator (BA17) was found, along with a bilateral extra-striate activation, visible at deeper coronal sections.

Full size image

C1(80-100 ms)

As in the previous temporal window, 6/deg gratings elicited more negative early responses than 0.75 c/deg gratings irrespective of attention condition (F[1,25] = 37.4, p < 0.00001). Again, stimuli falling in the upper quadrants elicited an N80 response while lower field stimuli elicited a P80 response as indicated by the significance of quadrant (F(3,75) = 11.84, p < 0.0001). The interaction of quadrant × location (F[3,75] = 3.12, p < 0.0376) indicated a larger effect of quadrant, with a P/N80 inversion of upper stimuli for location-relevant compared to irrelevant stimuli.

Spatial frequency relevance affected the amplitude of P/N80 per se (F[1,25] = 5.85, p < 0.02), with more negative responses to frequency-relevant than irrelevant stimuli.

N80 amplitude was greater at mesial occipital than lateral occipital sites as shown by the electrode factor (F[3,75] = 14.46, p < 0.00001).

The interaction of spatial frequency × quadrant (F[3,75] = 11.82, p < 0.00001) indicated that for each quadrant (except the left upper field), spatial frequency affected C1 amplitude with a more positive response to 0.75 and a more negative response to 6/deg gratings. As in the previous time window, the interaction of location relevance and frequency relevance was significant (F[1,25] = 4.72, p < 0.04), indicating a strong effect of spatial frequency relevance at the attended location. Furthermore, post-hoc comparisons showed a significant difference between L+F- (0.88 μV) and L-F- (0.58 μV).

The interaction of quadrant × hemisphere (F[3,75] = 27.69, p < 0.00001), indicated a larger C1 (more negative) in the ipsilateral hemisphere and a more positive P80 in the contralateral hemisphere.

P1(100-120 ms)

ANOVA performed on the mean P1 amplitude values within the 100-120 ms time window showed the significance of location relevance per se (F[1,25] = 7.65 p < 0.01), with more positive responses to location relevant than irrelevant stimuli, as shown in the waveforms of Fig. 7. Overall, P1 was larger over the right hemisphere recording sites, as indicated by the hemisphere factor (F[1,25] = 4.68, p < 0.04). P1 was also larger at lateral occipital than mesial electrode sites (F[3,75] = 14.06, p < 0.00001).

Figure 7
figure 7

Grand-average ERPs recorded to location-relevant and irrelevant gratings presented in the upper and lower hemi-spaces, independent of stimulus spatial frequency, and recorded at POz site and right lateral occipital site (RLO). Spatial attention effects were positive in nature.

Full size image

The significant interaction of spatial frequency × quadrant (F[3,75] = 3.83, p < 0.02) indicated larger P1 responses to upper rather than lower stimuli (see Fig. 2), more evident for 6 c/deg gratings. The interaction of spatial frequency × location relevance (F[3,75] = 5.55, p < 0.03) showed significant space-based attention effects for both spatial frequencies, but stronger for 0.75 than 6 c/deg gratings. The interaction of location relevance × quadrant (F[3,75] = 4.39 p < 0.01) indicated robust and significant space-based attention effects at all locations, but particularly in the left upper field. Furthermore, the interaction of quadrant × hemisphere (F[3,75] = 9.2, p < 0.001) indicated larger P1 responses to contralateral rather than ipsilateral stimuli. As in the previous time windows, the interaction of location × frequency relevance (F[1,25] = 7.47 p < 0.01) was significant. P1 was larger to location relevant than irrelevant gratings, while frequency relevance at the attended location did not affect P1 amplitude in this latency range. The triple interaction of spatial frequency × frequency relevance × electrode site (F[3,75] = 3.13, p < 0.05) indicated significant frequency-based attention effects only for 6 c/deg gratings at the O1 and O2 electrode sites (p < 0.002).

P1 (120-140 ms)

P1 was strongly affected by location relevance in this time window with much larger P1 to attended locations, as in the previous time window (F[1,25] = 31.9, p < 0.00001). Also, the spatial frequency factor was significant (F[1,25] = 18.34 p < 0.005), with larger P1 responses to 0.75 c/deg than 6c/deg gratings, as indicated by the waveforms in Fig. 5. At this latency, P1 was larger over the right hemisphere (F[1,25] = 13.6, p < 0.0001), and over lateral/occipital than mesial occipital sites (F[3,75] = 15.5, p < 0.00002). It was also more positive in response to stimuli presented in the upper than in the lower quadrants (F[3,75] = 24.57, p < 0.00001), as exemplified in Fig. 5. The interaction of location relevance × frequency relevance (F[3,75] = 13.48, p < 0.0012) indicated a frequency relevance effect at both the attended and the unattended locations.

Discussion and Conclusion

In this paradigm, gratings of different spatial frequencies were randomly presented in the upper and lower quadrants of the visual field in a task requiring conjoined/simultaneous attention to spatial location and spatial frequency. Visual evoked potentials (VEPs) showed the usual effects of spatial frequency and retinal position on the amplitude of sensory components, with larger N80 responses to upper stimuli and to higher spatial frequencies. P/N80 amplitude was greater at mesial occipito/parietal sites and inverted its polarity as a function of the above factors. As often reported, the later P120 response, greater at lateral occipital sites, had a larger amplitude to low spatial frequency gratings and showed the strongest spatial attention effects. Overall, these effects are rather canonical and are well documented in the literature [36, 37]. Equally well known is the striate origin of the C1 component of VEPs, demonstrated by both electrophysiological and neuroimaging techniques [33, 38–41].

The P/N80 inversion as a function of stimulus horizontal meridian and spatial frequency is highly consistent with previous electrophysiological literature [26, 31, 37, 41, 31, 43, 44].

ANOVA performed on the mean amplitude value of the C1 component in the first time window considered (40-60 ms) showed significant frequency-relevance effects at both attended and unattended locations at right hemispheric sites, and at the attended location at the left hemispheric sites. In addition, frequency-relevance effects at the attended location were larger for LVF gratings. This phenomenon might be interpreted in two ways. One possibility is that selective attention to spatial frequency exhibited the renowned hemispheric asymmetry for frequency processing, the right hemisphere being more efficient in processing the range of low (0.75 c/deg) than high (6 c/deg) spatial frequencies [45–47]. The other hypothesis is that the LVF/right hemisphere advantage might reflect an early low-level sensory bias for visual processing. Indeed, there is evidence of a similar LVF advantage for the processing of simple visual stimuli in simple RTS paradigms [48]. In any case, the matter deserves further investigation. The right hemispheric and LVF attention effects at the earliest stage of visual processing are strongly consistent with LORETA source reconstruction indicating an attentional effect for the relevant frequency (F+ vs. F-) in the right occipital cortex (BA17) in both C1 time windows (40-60 and 60-80 ms).

The early onset of the spatial frequency-based attention effect is compatible with the most recent findings on the timing of space-based attentional selection, e.g. [16]. In addition, the early (40-60 ms) emergence of robust 6 but not 0.75 c/deg frequency selection effects are compatible with recent findings [33] showing that at high contrast levels, the parvocellular system makes the biggest contribution to generating the C1 component starting at about 45 ms. Overall, evidence of stronger frequency relevance effects for high (6 c/deg) than low (0.75 c/deg) spatial frequency gratings has previously been reported in similar ERP attentional studies [22, 25, 26, 31, 32]. This inhomogeneity may be ascribed to the difference in contrast sensitivity across spatial frequency ranges, with 4-5/deg spatial frequency bandwidth being the optimal range for the human visual system [31, 49, 50]. In this light, it is conceivable that the earliest target/non-target effect might be observed in V1 for the frequency band eliciting the most optimal response among V1 neurons (6 rather than 0.75 c/deg). The preference for 6 over 0.75 c/deg gratings is also supported by behavioural data, showing faster RTs to the former stimuli.

The interaction between location relevance × frequency relevance, observable from the earliest sensory stages, suggesting stronger attentional selection effects at the attended location, is compatible with previous ERP literature [26, 31, 32] suggesting similar effects as early as 60 ms post-stimulus. The mechanism subserving this attention enhancement is probably related to the mechanism by which covert spatial attention increases contrast sensitivity via contrast gain, thus enhancing spatial resolution, described in neurophysiological and psychophysical studies [51, 52].

These data strongly influence the existing assumptions and models of selective attention according to which the effects of attention on V1 activity take place not during the initial stimulus-related response (60-90 ms) but, instead, at longer latencies in the time range 150-250 ms, as a sort of re-entrant feedback [8, 11, 13].

The present data firmly establish that, indeed, as a result of task attentional relevance, visual cortex responsivity (including V1 activity) is cued to enhance/improve the processing of the attended spatial frequency, at both attended and unattended locations. While later (P1) frequency-relevance effects were stronger at the attended location (L+F+ vs. L+F-), the earliest frequency relevant effects, namely C1 modulation between 40 and 100 ms (see Table 1), exhibited strong frequency-relevance effects per se (F+ vs F-) (see Fig. 6). These data support the hypothesis that object-based selective attention processes might also be carried out at the earliest processing stage within the striate visual cortex, similarly to what was found for spatial attention most recently [16]. Indeed Kelly and coworkers employed a visuo-spatial task in which subjects were cued on each trial to direct attention toward 1 of 2 locations in anticipation of an imperative 6 c/deg Gabor stimulus and were required to detect a region of lower luminance appearing within the Gabor pattern 30% of the time at the cued location only. The data show a clear spatial attentional enhancement of the C1, beginning as early as its point of onset (57 ms), which inverted in polarity as a function of upper vs. lower hemispace. Source analysis of the attentional modulations pointed to generation in striate cortex.

It's interesting to note that, in our study, C1 attention effect did not invert in polarity as a function of quadrant of stimulation (as expected on the basis of P/N80 reversal to upper vs. lower stimuli). In fact, while location relevance did not affect much of the earliest sensory processing, and later on it enhanced the positivity of VEPs to gratings falling at the attended location, frequency relevance increased the negativity of both C1 and P1 responses regardless of quadrant of presentation. The presence of this attentional modulation, a sort of early selection negativity (SN) [22, 25] that subsequently enhanced the amplitude of posterior N1 and N2 components (as clearly visible in Fig. 3 and 5), supports the hypothesis that C1 might index the activity of multiple generators beyond primary visual cortex.

These findings are paralleled by a number of electrophysiological data suggesting several sources for the early VEP based both on pathological [53] and control data. In addition, MEG findings [54, 55] have demonstrated the involvement of V1, V2, V3, inferior and superior lateral occipital gyri and intraparietal sulcus in generating post-synaptic potentials in the 70-100 ms post-stimulus time window.

As for more anterior brain areas, in our study the frequency-based attention-related activation of BA6, BA45/46 and BA10 prefrontal areas was quite small in the early phase of C1 (below 0.7 nA of magnitude) but became much stronger and reliable (6-9 nA) in the next time window (60-80 ms): This pattern of results is consistent with the electrophysiological and SCD mapping data provided by Foxe and Simpson [56] showing an early activation of dorsolateral prefrontal cortex in the C1 range (as early as 80 ms) during a cued multisensory attention task. At this regard it should be considered the crucial role of the frontal lobe in spatial attention allocation, which may occur even before V1 response. It is for example known that the frontal eye field has neurons that discharge before visually guided saccades [57] thanks to corollary discharge signals coming from superior colliculus pathway and travelling through mediodorsal thalamus to the frontal eye fields, in the prefrontal cortex [58].Supporting evidence comes also from TMS studies showing the involvement of both frontal eye fields [59, 60] and dorsolateral prefrontal cortex [61] in the early modulation of visual cortex during covert voluntary attention tasks.

Indeed, the direct role of the frontal lobe in modulating visual processing and particularly the V1 response has been demonstrated. For example it has been shown that single pulses of transcranial magnetic stimulation (sTMS) restricted locally to frontal cortical areas enhance visual perception of phosphenes and flashed alphabetical characters [62]. According to the authors, the anterior frontal lobe can gate information from primary visual cortical areas leading to enhanced perception through its powerful connections with the thalamic intralaminar system. It has been proposed that the frontal-lobe projections to the thalamic intralaminar nuclei can selectively enhance sensory processing by the primary cortical receiving area, thus giving rise to the early attentional modulation of V1.

It is quite interesting to consider at this regard that, in humans, activity of thalamocortical circuitry is reflected by gamma activity in the EEG [63, 64] and indeed there is clear evidence of both beta and gamma synchronization around the time of C1, beginning around 50 ms. The oscillatory data suggest the possibility of long distance synchronization as an explanation of early V1 effects. Besides hard-wired anatomical pathways which could convey information to the occipital cortex at short latency, long distance synchronizing effects of attention on V1 neurons should be also be considered.

As for the potential limitations of this study it may be considered that fitting the total time period with ICA methods may have strengthened or weakened the conclusion of latency linked attention in V1. Further investigation will be able to shed some light on this matter.

In conclusion, the present data highlight the limitation of the current model of object-based visual selective attention in demonstrating that visual cortex responsivity (including V1 activity) is cued to enhance/improve the processing of attended objects at the earliest sensory level (C1).

References

  1. Karns CM, Knight RT: Intermodal Auditory, Visual, and Tactile Attention Modulates Early Stages of Neural Processing. Journal of Cognitive Neuroscience. 2009, 21 (4): 669-683. 10.1162/jocn.2009.21037.

    PubMed Central  Article  PubMed  Google Scholar 

  2. Roelfsema PR, Lamme VAF, Spekreijse H: Object-based attention in the primary visual cortex of the macaque monkey. Nature. 1998, 395 (6700): 376-381. 10.1038/26475.

    Article  CAS  PubMed  Google Scholar 

  3. Lamme VAF, Roelfsema PR: The distinct modes of vision offered by feedforward and recurrent processing. Trends in Neurosciences. 2000, 23 (11): 571-10.1016/S0166-2236(00)01657-X.

    Article  CAS  PubMed  Google Scholar 

  4. Reynolds JH, Chelazzi L, Desimone R: Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4. J Neurosci. 1999, 19 (5): 1736-1753.

    CAS  PubMed  Google Scholar 

  5. Wurtz RH, Mohler CW: Enhancement of visual responses in monkey striate cortex and frontal eye fields. J Neurophysiol. 1976, 39: 766-772.

    CAS  PubMed  Google Scholar 

  6. Yoshor D, Ghose G, Bosking W, Sun P, Maunsell J: Spatial Attention Does Not Strongly Modulate Neuronal Responses in Early Human Visual Cortex. J Neurosci. 2007, 27 (48): 13209-10.1523/JNEUROSCI.2944-07.2007.

    Article  Google Scholar 

  7. Mehta AD, Ulbert I, Schroeder CE: Intermodal Selective Attention in Monkeys. II: Physiological Mechanisms of Modulation. Cereb Cortex. 2000, 10 (4): 359-370. 10.1093/cercor/10.4.359.

    Article  CAS  PubMed  Google Scholar 

  8. Martínez A, Anllo-Vento L, Sereno MI, Frank LR, Buxton RB, Dubowitz DJ, Wong EC, Hinrichs H, Heinze HJ, Hillyard SA: Involvement of striate and extrastriate visual cortical areas in spatial attention. Nature Neuroscience. 1999, 2: 364-369. 10.1038/7274.

    Article  PubMed  Google Scholar 

  9. Di Russo F, Martinez A, Hillyard SA: Source Analysis of Event-related Cortical Activity during Visuo-spatial Attention. Cereb Cortex. 2003, 13 (5): 486-499. 10.1093/cercor/13.5.486.

    Article  PubMed  Google Scholar 

  10. Posner MI, Gilbert CD: Attention and primary visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 1999, 96 (6): 2585-2587. 10.1073/pnas.96.6.2585.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  11. Pessoa L, Kastner S, Ungerleider LG: Neuroimaging Studies of Attention: From Modulation of Sensory Processing to Top-Down Control. J Neurosci. 2003, 23 (10): 3990-3998.

    CAS  PubMed  Google Scholar 

  12. Noesselt T, Hillyard SA, Woldorff MG, Schoenfeld A, Hagner T, Jäncke L, Tempelmann C, Hinrichs H, Heinze HJ: Delayed striate cortical activation during spatial attention. Neuron. 2002, 1 ((35)3): 575-587. 10.1016/S0896-6273(02)00781-X.

    Article  Google Scholar 

  13. Schoenfeld MA, Tempelmann C, Martinez A, Hopf JM, Sattler C, Heinze HJ, Hillyard SA: Dynamics of feature binding during object-selective attention. Proceedings of the National Academy of Sciences of the United States of America. 2003, 100 (20): 11806-11811. 10.1073/pnas.1932820100.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  14. Schoenfeld MA, Hopfinger JM, Martinez A, Mai HM, Sattler C, Gasde A, Heinze H, Hillyard SA: Spatio-temporal analysis of feature-based attention. Cereb Cortex. 2007, 2468-2477. 17

  15. Pasqual-Marqui RD, Michel CM, Lehmann D: Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. In J Psychophysiol. 1994, 18: 49-65. 10.1016/0167-8760(84)90014-X.

    Article  Google Scholar 

  16. Kelly SP, Gomez-Ramirez M, Foxe JJ: Spatial Attention Modulates Initial Afferent Activity in Human Primary Visual Cortex. Cereb Cortex. 2008, 18 (11): 2629-2636. 10.1093/cercor/bhn022.

    PubMed Central  Article  PubMed  Google Scholar 

  17. Ito M, Gilbert CD: Attention Modulates Contextual Influences in the Primary Visual Cortex of Alert Monkeys. Neuron. 1999, 22: 593-604. 10.1016/S0896-6273(00)80713-8.

    Article  CAS  PubMed  Google Scholar 

  18. Harter MR, Previc FH: Size-specific information channels and selective attention: visual evoked potential and behavioral measures. Electroencephalogr Clin Neurophysiol. 1978, 45 (5): 628-640. 10.1016/0013-4694(78)90163-3.

    Article  CAS  PubMed  Google Scholar 

  19. Baas JMP, Kenemans JL, Mangun GR: Selective attention to spatial frequency: an ERP and source localization analysis. Clinical Neurophysiology. 2002, 113 (11): 1840-10.1016/S1388-2457(02)00269-9.

    Article  PubMed  Google Scholar 

  20. Kenemans JL, Lijffijt M, Camfferman G, Verbaten MN: Split-Second Sequential Selective Activation in Human Secondary Visual Cortex. Journal of Cognitive Neuroscience. 2002, 14 (1): 48-10.1162/089892902317205311.

    Article  PubMed  Google Scholar 

  21. Kenemans JL, Kok A, Smulders FT: Event-related potentials to conjunctions of spatial frequency and orientation as a function of stimulus parameters and response. Electroencephalogr Clin Neurophysiol. 1993, 88: 51-63. 10.1016/0168-5597(93)90028-N.

    Article  CAS  PubMed  Google Scholar 

  22. Martínez A, Di Russo F, Anllo-Vento L, Hillyard SA: Electrophysiological analysis of cortical mechanisms of selective attention to high and low spatial frequencies. Clinical Neurophysiology. 2001, 112 (11): 1980-10.1016/S1388-2457(01)00660-5.

    Article  PubMed  Google Scholar 

  23. Anllo-Vento L, Luck SJ, Hillyard SA: Spatio-temporal dynamics of attention to color: evidence from human electrophysiology. Hum Brain Mapp. 1998, 216-238. 10.1002/(SICI)1097-0193(1998)6:4<216::AID-HBM3>3.0.CO;2-6. 6

  24. Valdes-Sosa M, Bobes MA, Rodriguez V, Pinilla T: Switching Attention without Shifting the Spotlight: Object-Based Attentional Modulation of Brain Potentials. Journal of Cognitive Neuroscience. 1998, 10 (1): 137-10.1162/089892998563743.

    Article  CAS  PubMed  Google Scholar 

  25. Zani A, Proverbio AM: ERP signs of early selective attention effects to check size. Electroencephalogr Clin Neurophysiol. 1995, 95 (4): 277-292. 10.1016/0013-4694(95)00078-D.

    Article  CAS  PubMed  Google Scholar 

  26. Zani A, Proverbio AM: Attention modulation of short latency ERPs by selective attention to conjunction of spatial frequency and location. J Psychophysiol. 1997, 11: 21-32.

    Google Scholar 

  27. Zani A, Proverbio AM, Laurent I, Geraint R, John KT: The Timing of Attentional Modulation of Visual Processing as Indexed by ERPs. Neurobiology of Attention. 2005, Burlington: Academic Press, 514-full_text.

    Chapter  Google Scholar 

  28. Khoe W, Mitchell JF, Reynolds JH, Hillyard SA: Exogenous attentional selection of transparent superimposed surfaces modulates early event-related potentials. Vision Research. 2005, 45: 3004-3014. 10.1016/j.visres.2005.04.021.

    Article  CAS  PubMed  Google Scholar 

  29. Proverbio AM, Esposito P, Zani A: Early involvement of the temporal area in attentional selection of grating orientation: an ERP study. Cognitive Brain Research. 2002, 13 (1): 139-151. 10.1016/S0926-6410(01)00103-3.

    Article  PubMed  Google Scholar 

  30. Zani A, Proverbio AM: ERP signs of frontal and occipital processing of visual targets and distracters within and without the channel of spatial attention. Focus on Neuropsychology Research. Edited by: Dupri JR. 2006, 38-88.

    Google Scholar 

  31. Zani A, Proverbio AM: Selective attention to spatial frequency gratings affects visual processing as early as 60 msec. poststimulus. Percept Mot Skills. 2009, 109 (1): 140-158.

    Article  PubMed  Google Scholar 

  32. Proverbio AM, Del Zotto M, Zani A: Inter-individual differences in the polarity of early visual responses and attention effects. Neuroscience Letters. 2007, 419 (2): 131-136. 10.1016/j.neulet.2007.04.048.

    Article  CAS  PubMed  Google Scholar 

  33. Foxe J, Strugstad E, Sehatpour P, Molholm S, Pasieka W, Schroeder C, McCourt M: Parvocellular and Magnocellular Contributions to the Initial Generators of the Visual Evoked Potential: High-Density Electrical Mapping of the "C1" Component. Brain Topography. 2008, 21 (1): 11-21. 10.1007/s10548-008-0063-4.

    Article  PubMed  Google Scholar 

  34. Zanow F, Knösche TR: ASA-Advanced Source Analysis of Continuous and Event-Related EEG/MEG Signals. Brain Topography. 2004, 16 (4): 287-10.1023/B:BRAT.0000032867.41555.d0.

    Article  PubMed  Google Scholar 

  35. Palmero-Soler E, Dolan K, Hadamschek V, Tass PA: swLORETA: a novel approach to robust source localization and synchronization tomography. Physics in medicine and biology. 2007, 52: 1783-1800. 10.1088/0031-9155/52/7/002.

    Article  PubMed  Google Scholar 

  36. Kenemans JL, Baas JMP, Mangun GR, Lijffijt M, Verbaten MN: On the processing of spatial frequencies as revealed by evoked-potential source modeling. Clinical Neurophysiology. 2000, 111 (6): 1113-10.1016/S1388-2457(00)00270-4.

    Article  CAS  PubMed  Google Scholar 

  37. Proverbio AM, Zani A, Avella C: Differential activation of multiple current sources of foveal VEPs as a function of spatial frequency. Brain Topography. 1996, 9 (1): 59-63. 10.1007/BF01191643.

    Article  Google Scholar 

  38. Di Russo F, Martínez A, Sereno MI, Pitzalis S, Hillyard SA: Cortical sources of the early components of the visual evoked potential. Human Brain Mapping. 2002, 15 (2): 95-111. 10.1002/hbm.10010.

    Article  PubMed  Google Scholar 

  39. Im CH, Gururajan A, Zhang N, Chen W, He B: Spatial resolution of EEG cortical source imaging revealed by localization of retinotopic organization in human primary visual cortex. Journal of Neuroscience Methods. 2007, 161 (1): 142-154. 10.1016/j.jneumeth.2006.10.008.

    PubMed Central  Article  PubMed  Google Scholar 

  40. Chang-Hwan I, Arvind G, Nanyin Z, Wei C, Bin H: Spatial resolution of EEG cortical source imaging revealed by localization of retinotopic organization in human primary visual cortex. Journal of Neuroscience Methods. 2007, 161 (1): 142-154. 10.1016/j.jneumeth.2006.10.008.

    Article  Google Scholar 

  41. Jeffreys DA, Axford JG: Source locations of pattern-specific component of human visual evoked potentials. I. Component of striate cortical origin. Exp Brain Res. 1972, 16: 1-21.

    CAS  PubMed  Google Scholar 

  42. Regan D: Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine. 1989

    Google Scholar 

  43. Clark VP, Fan S, Hillyard SA: Identification of early visually evoked potential generators by retinotopic and topographic analysis. Hum Brain Mapp. 1995, 2: 170-187. 10.1002/hbm.460020306.

    Article  Google Scholar 

  44. Bodis-Wollner I, Brannan JR, Nicoll J, Frkovic S, Mylin LH: A short latency cortical component of the foveal VEP is revealed by hemifield stimulation. Electroencephalogr Clin Neurophysiol. 1992, 84: 201-208. 10.1016/0168-5597(92)90001-R.

    Article  CAS  PubMed  Google Scholar 

  45. Kitterle FL, Selig LM: Visual field effects in the discrimination of sine-wave gratings. Percept Psychophys. 1991, 50 (1): 15-18.

    Article  CAS  PubMed  Google Scholar 

  46. Proverbio AM, Zani A, Avella C: Hemispheric Asymmetries for Spatial Frequency Discrimination in a Selective Attention Task. Brain and Cognition. 1997, 34 (2): 311-320. 10.1006/brcg.1997.0901.

    Article  CAS  PubMed  Google Scholar 

  47. Rebai M, Mecacci L, Bagot JD, Bonnet C: Influence of spatial frequency and handedness on hemispheric asymmetry in visually steady-state evoked potentials. Neuropsychologia. 1989, 27 (3): 315-324. 10.1016/0028-3932(89)90021-3.

    Article  CAS  PubMed  Google Scholar 

  48. Marzi CA, Bisiacchi P, Nicoletti R: Is interhemispheric transfer of visuomotor information asymmetric? Evidence from a meta-analysis. Neuropsychologia. 1991, 29 (12): 1163-1177. 10.1016/0028-3932(91)90031-3.

    Article  CAS  PubMed  Google Scholar 

  49. DeValois RL, Albrecht DG, Thorel LG: Spatial frequency selectivity of cells in the macaque visual cortex. Vision Research. 1982, 22: 545-559. 10.1016/0042-6989(82)90113-4.

    Article  CAS  Google Scholar 

  50. Tootell RB, Silverman MS, Hamilton SL, Switkes E, De Valois RL: Functional anatomy of macaque striate cortex. V. Spatial frequency. J Neurosci. 1988, 8 (5): 1610-1624.

    CAS  PubMed  Google Scholar 

  51. Carrasco M, Martinez-Conde S, Macknik SL, Martinez LM, Alonso JM, Tse PU: Covert attention increases contrast sensitivity: psychophysical, neurophysiological and neuroimaging studies. Progress in Brain Research. 2006, Elsevier, 154 (1): 33-70. full_text.

  52. Yeshurun Y, Carrasco M: Attention improves or impairs visual performance by enhancing spatial resolution. Nature. 1998, 396 (6706): 72-75. 10.1038/23936.

    Article  CAS  PubMed  Google Scholar 

  53. Sartucci F, Tagliati M, Mylin LH, I BW: Topographical analysis of the onset VEP in the detection of paracental visual field defects. Clinical Electroencephalography. 2002, 33: 62-68.

    Article  PubMed  Google Scholar 

  54. Aine CJ, I BW, JS G: Generators of visually evoked neuromagnetic responses. Spatial-frequency segregation and evidence for multiple sources. Advances in Neurology, Magnetoencephalography. Edited by: Sato S. 1990, New York: Raven Press, 54: 141-l55.

    Google Scholar 

  55. Aine CJ, M SJ: MEG studies of visual processing. "The cognitive electrophysiology of mind and brain". Edited by: Zani A, Proverbio AM. 2003, Academic Press/Elsevier, 93-l42. full_text.

    Chapter  Google Scholar 

  56. Foxe JJ, Simpson GV: Flow of activation from V1 to frontal cortex in humans. A framework for defining "early" visual processing. Exp Brain Res. 2002, 142 (1): 139-150. 10.1007/s00221-001-0906-7.

    Article  PubMed  Google Scholar 

  57. Umeno MM, Goldberg ME: Spatial Processing in the Monkey Frontal Eye Field. I. Predictive Visual Responses. J Neurophysiol. 1997, 78: 1373-1383.

    CAS  PubMed  Google Scholar 

  58. Wurtz R, Sommer M: Identifying corollary discharges for movement in the primate brain. Prog Brain Res. 2004, 144: 47-60. full_text.

    Article  PubMed  Google Scholar 

  59. Silvanto J, Lavie N, V W: Stimulation of the Human Frontal Eye Fields Modulates Sensitivity of Extrastriate Visual Cortex. J Neurophysiol. 2006, 96 (2): 941-945. 10.1152/jn.00015.2006.

    Article  PubMed  Google Scholar 

  60. Taylor PCJ, Nobre AC, MFS R: FEF TMS Affects Visual Cortical Activity. Cereb Cortex. 2007, 17 (2): 391-399. 10.1093/cercor/bhj156.

    Article  PubMed  Google Scholar 

  61. Kalla R, Muggleton NG, Cowey A, V W: Human dorsolateral prefrontal cortex is involved in visual search for conjunctions but not features: A theta TMS study. Cortex. 2009, 45 (9): 1085-1090. 10.1016/j.cortex.2009.01.005.

    Article  PubMed  Google Scholar 

  62. Amassian V, Mari Z, Sagliocco L, Hassan N, Maccabee P, Cracco J, Cracco R, Bodis-Wollner I: Perception of phosphenes and flashed alphabetical characters is enhanced by single-pulse transcranial magnetic stimulation of anterior frontal lobe: The thalamic gate hypothesis. Perception. 2008, 37: 375-388. 10.1068/p5948.

    Article  PubMed  Google Scholar 

  63. Tzelepi A, Bezerianos TI: B-W: Functional properties of sub-bands of oscillatory brain waves to pattern visual stimulation in man. Clinical Neurophysiology. 2000, 111: 259-269. 10.1016/S1388-2457(99)00248-5.

    Article  CAS  PubMed  Google Scholar 

  64. Bodis-Wollner I, J D, A T, T B: Wavelet transform of the EEG reveals difference in low and high gamma responses to elementary visual stimuli. Clinical Electroencephalography. 2001, 32: 139-144.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This study was supported by MIUR and CNR grants to AMP and AZ. We are grateful to Patricia Klaas for reading the final version of this manuscript. We also wish to thank Roberta Adorni, Federica Riva and Nicola Crotti for technical assistance. Request for reprints should be addressed to Alice Mado Proverbio, Dept. of Psychology, University of Milano-Bicocca, Via dell'Innovazione 10, 20126 Milan, Italy. E-mail: mado.proverbio@unimib.it.

Author information

Affiliations

  1. Dept. of Psychology, University of Milano-Bicocca, Milan, Italy

    Alice M Proverbio

  2. Laboratory of Experimental Neuropsychology, Neuropsychology Unit, Geneva University Hospital, Switzerland

    Marzia Del Zotto

  3. Inst. of Bioimaging and Molecular Physiology, CNR, Milano-Segrate, Italy

    Alberto Zani

Authors
  1. Alice M Proverbio
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marzia Del Zotto
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alberto Zani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alice M Proverbio.

Additional information

Authors' contributions

AMP and AZ conceived and designed the study, MDZ performed EEG acquisition and accomplished most of the data analyses. AMP interpreted the data and wrote the manuscript. All authors read and approved the final version of the manuscript.

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Proverbio, A.M., Del Zotto, M. & Zani, A. Electrical neuroimaging evidence that spatial frequency-based selective attention affects V1 activity as early as 40-60 ms in humans. BMC Neurosci 11, 59 (2010). https://doi.org/10.1186/1471-2202-11-59

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2202-11-59

Keywords

  • Spatial Frequency
  • Selective Attention
  • Attention Effect
  • Attentional Modulation
  • Location Relevance

BMC Neuroscience

ISSN: 1471-2202

Contact us