Abstract
Transcranial magnetic stimulation (TMS) interference over right intraparietal sulcus (IPS) causally disrupts behaviorally and electroencephalographic (EEG) rhythmic correlates of endogenous spatial orienting prior to visual target presentation (Capotosto et al. 2009; 2011). Here we combine data from our previous studies to examine whether right parietal TMS during spatial orienting also impairs stimulus-driven re-orienting or the ability to efficiently process unattended stimuli, i.e. stimuli outside the current focus of attention. Healthy subjects (N=24) performed a Posner spatial cueing task while their EEG activity was being monitored. Repetitive TMS (rTMS) was applied for 150 milliseconds (ms) simultaneously to the presentation of a central arrow directing spatial attention to the location of an upcoming visual target.
Right IPS-rTMS impaired target detection, especially for stimuli presented at unattended locations; it also caused a modulation of the amplitude of parieto-occipital positive ERPs peaking at about 480 ms (P3) post-target. The P3 significantly decreased for unattended targets, and significantly increased for attended targets after right IPS-rTMS as compared to Sham stimulation. Similar effects were obtained for left IPS stimulation albeit in a smaller group of subjects. We conclude that disruption of anticipatory processes in right IPS has prolonged effects that persist during target processing. The P3 decrement may reflect interference with post-decision processes that are part of stimulus-driven re-orienting. Right IPS is a node of functional interaction between endogenous spatial orienting and stimulus-driven re-orienting processes in human vision.
Keywords: Visuospatial attention, visual cortex, rTMS, EEG, P30
Introduction
Visual attention defines the psychological and neural processes that facilitate processing of behaviourally relevant sensory information. Posner and colleagues developed many years ago a simple reaction time (RT) paradigm to study the mental operations of spatial attention (Posner, 1980). In one version of the task, subjects are cued to covertly direct their attention to a peripheral location by a central symbolic cue (an arrow) that correctly predicts the target location in the majority of trials (e.g. 80% of the times). In the minority of trials the cue incorrectly predicts the target location (e.g. 20% of trials). Targets presented at validly cued locations, or valid targets, are typically responded to faster than targets presented at invalidly cued location, or invalid targets, and the RT difference is thought to index the time necessary to re-orient attention from a currently attended to a novel location of interest (Posner, 1980). Such a process is defined as “stimulus-driven reorienting” (Corbetta and Shulman, 2002; Corbetta et al., 2008).
The modulation of visual sensory processing by spatial cueing, as in the Posner task, has been studied by examining event-related potentials (ERPs) to (frequent) valid and (rare) invalid stimuli (Eimer, 1993; Mangun and Hillyard 1991). The relative ERP components are classified according to their scalp topography, positive (P) or negative (N) polarity, and timing or order of appearance. Visual targets elicit early positive and negative parieto-occipital cortex ERP components (P1, N1) that are greater in amplitude at attended (validly cued targets) than unattended locations (invalidly cued targets) (Mangun and Hillyard, 1991). In contrast, a late positive ERP component (i.e. P3) shows larger amplitude to invalidly than validly cued targets (Eimer, 1996; Mangun and Hillyard 1991). This late modulation is consistent with the characteristic strong ERP positivity (i.e. P3 or P300) associated with the presentation of infrequent targets and motor reactions in “oddball” paradigms (Hruby and Marsalek 2003; Polich and Comerchero 2003). While the exact processes associated with P3 responses is a hotly debated issue beyond the purpose of this report, in the context of a spatial cueing task P3 modulation by targets at unattended location is a convenient physiological marker of a re-orienting response that includes both spatial (e.g. a shift of attention) and non-spatial (e.g. changes in arousal, reward, or task set) processes associated with infrequent events.
From a neuronatomical point of view, the control of spatial attention has been localized to a set of dorsal frontoparietal regions, including cortex along the intraparietal sulcus (IPS), thought to send top-down biasing signals to sensory regions in anticipation of stimulus processing (Corbetta & Shulman, 2002; Bressler et al., 2008). Recent evidence indicates a direct causal role of posterior parietal cortex on attention-related modulation of visual cortex activity (Ruff et al., 2009; Capotosto et al., 2009; 2011). For instance rTMS interference of IPS cortex during the allocation of spatial attention produces disruption of anticipatory (pre-target) EEG de-synchronization of alpha rhythms (about 8–12 Hz) in occipito-parietal cortex, especially in the hemisphere contralateral to the locus of attention (Capotosto et al., 2009; 2011). These findings are consistent with a causal role of IPS cortex in the anticipatory and endogenous allocation of spatial attention.
Here, we test whether IPS cortex also plays a causal role in stimulus-driven re-orienting, and its neurophysiological correlates. In previous studies, we observed that right IPS-rTMS during the endogenous allocation of spatial attention had lingering effects on target detection producing identification deficits especially for targets presented at unattended locations (Capotosto et al., 2009; 2011). This suggests an interaction between right IPS anticipatory processes and stimulus-driven re-orienting. In this study we consider the neurophysiological correlates of this behavioral deficit in stimulus-driven re-orienting (Corbetta et al., 2008).
We hypothesize that interference with anticipatory activity in right parietal cortex will produce greater abnormalities of late positive ERP component (i.e. P3) of the visually evoked response to invalid targets (Hruby and Marsalek 2003; Polich and Comerchero 2003). This component is consistently modulated during oddball paradigms that, similarly to invalidly cued spatial targets in the Posner paradigm, involve the detection of a behaviourally relevant low frequency event. Furthermore, theoretical and empirical evidence suggest a link between stimulus-driven reorienting and P3 (Corbetta et al., 2008; Nieuwenhuis et al. 2005). To address this issue, we combined EEG data from our two previous experiments, and analyzed visual ERPs for either validly cued or invalidly cued visual targets to determine whether TMS interference over right IPS mainly affects amplitude of parietal P3 following unattended (i.e. rare, invalid) as compared to attended (frequent, valid) visual targets.
Materials and Methods
Subjects
24 right-handed (Edinburgh Inventory) healthy adult volunteers (age range: 22–31 yrs old; 14 females) with no previous psychiatric or neurological history participated in the experiments as described in our previous publications. Their vision was normal or corrected-to-normal. All experiments were conducted with the understanding and written consent of each participant according to the Code of Ethics of the World Medical Association, and the standards established by the University of Chieti Institutional Review Board and Ethics Committee.
Experimental task
All measurements were carried out at the Institute of Technology and Advanced Bioimaging (ITAB) by the first author (P.C.). The experimental paradigm is shown in Figure 1a. Subjects were seated in a comfortable reclining armchair and kept their hands resting on the keyboard of a computer. They maintained fixation on a small white cross stimulus (subtending 0.7° of visual angle) displayed on a black background in the centre of a computer screen positioned at a distance of 80 centimetres. Each trial began with the presentation of a cue stimulus (a small white-filled rectangle subtending about 0.2° visual angle and overlapping either the left or right horizontal segment of the fixation cross) for 200 milliseconds (ms) duration that indicated randomly (50%) either a left or right side location along the horizontal meridian. Following a 2-sec stimulus onset asynchrony (SOA), a target letter, either L or T (each with 50% probability), was presented for 70 ms at the left or right location at 0.7° degrees of visual angle from the fixation point. The letters were presented in their canonical upright orientation (50% of trials) or rotated 180 degrees along the vertical axis (the other 50%). Both letters had a diameter of 0.7° visual angle. The target stimulus appeared on 80% of the trials at the location indicated by the cue (valid trials), and on 20% of the trials at the location opposite the cue (invalid trials) (Posner, 1980). Immediately after the target stimulus, a mask stimulus (130 ms duration) formed by all the possible line segments in the letter stimuli L or T was flashed to interrupt stimulus processing. Subjects were instructed to maintain fixation throughout the trial, pay attention covertly to the location indicated by the cue, and discriminate the shape of the target by pressing a left keyboard button (key A) for the letter T (upright or rotated), and a right keyboard button (key L) for the letter L (upright or rotated). The assignment of ‘target’ stimulus (T or L) to the specific key for response (A or L) was counterbalanced across subjects. This arrangement insured that the central cue did not provide any information about the response to execute, but only information about the location of the stimulus. This is important to ensure that preparatory processes were visuo-spatial in origin and not motor related (Broadbent, 1971). Reaction times and the accuracy of the response were recorded for behavioral analyses.
Figure 1. Task and rTMS localization.

(a): Sequence of events during a trial. (b): Magnetic resonance imaging (MRI)-constructed stereotaxic template showing the sagittal (a), coronal (b), and axial (c) projections of the active rTMS site.
Procedures for rTMS and identification of target scalp regions
To interfere with neural activity during the allocation of spatial attention, we employed repetitive transcranial magnetic stimulation (rTMS). The stimulation was delivered through a focal, figure eight coil (outer diameter of each wing 7 cm), connected with a standard Mag-Stim Rapid 2 stimulator (maximum output 2.2 Tesla). Individual resting excitability threshold for right motor cortex stimulation was preliminarily determined by following standardized procedure (Rossini et al., 1994; Rossi et al., 2001). The rTMS train was delivered at the onset of the cue stimulus based on the following parameters: 150 ms duration, 20-Hz frequency, and intensity set at 100% of the individual motor threshold. These parameters are consistent with published safety guidelines for TMS stimulation (Anderson et al., 2006; Machii et al., 2006; Wassermann, 1998; Rossi et al., 2009).
The experimental design included two conditions, applied in different blocks, and randomized across subjects. Each subject performed all the conditions. In the ‘Sham’ condition the stimulation was delivered at the scalp vertex with the position of the coil reversed with respect to the scalp surface, such that the magnetic flux was dispersed in the air. In the active condition, rTMS interfered with activity at the pre-determined scalp sites since we placed the anterior end of the junction of the two coil wings. A mechanical arm maintained the handle of the coil angled at about 45° away from the midline (the exact position was adjusted based on the results of the online neuronavigation such that the centre of the coil wing was oriented perpendicularly to the point to be stimulated in order to deliver the maximum power). The centre of the coil wings was positioned at a position on the scalp corresponding to the cortical region in the atlas of Talairach and Tornoux (1988) obtained from a meta-analysis of spatial attention studies (He et al., 2007): right pIPS (x,y,z: 23,−65,48) (Figure 1b). The right IPS location is the same as in the studies by Capotosto and colleagues (2009, 2011), in which the TMS coil was positioned on individual basis taking into account subject’s scalp shape. The location of stimulation was automatically identified on each subject’s scalp using the SofTaxic navigator system (E.M.S. Italy, www.emsmedical.net). The procedure involves the computation of an estimated volume of head MRIs in subjects for whom MRIs are unavailable (i.e. all subjects in the present study). The estimated MRIs, referred to the Talairach space, are calculated by means of a warping procedure, operating on a template MRI volume on the basis of a set of about 40 points digitized from the subjects scalp. The digitized points are used to compute a subsequent set of reference points that are analogous to a set of points pre-localized on the scalp of the template. The warping procedure is performed using these two corresponding sets of reference points. This strategy has been successful in previous rTMS studies of posterior parietal cortex and visuo-spatial attention (Babiloni et al. 2006; Harris et al., 2008; Capotosto et al. 2009; Olivieri et al. 2010).
Electroencephalography recordings
Electroencephalographic (EEG) data were recorded (BrainAmp; bandpass, 0.05–100Hz, sampling rate, 256 Hz) from 27 EEG electrodes placed according to an augmented 10–20 system, and mounted on an elastic cap resistant to magnetic pulses. Electrode impedance was below 5 KΩ. The artifact of rTMS on the EEG activity lasted about 10 ms. For the analysis we filtered between 0.1 and 40 Hz. Two electro-oculographic channels were used to monitor eye movement and blinking. The acquisition time for all data was set from −2 to +2s after cue stimulus. About 120 EEG trials were collected for each condition and for each subject. The EEG single trials contaminated by eye movement, blinking, or involuntary motor acts (e.g. mouth, head, trunk or arm movements) were rejected off-line. To remove the effects of the electric reference, EEG single trials were re-referenced by the common average reference. The common average procedure includes the averaging of amplitude values at all electrodes, and the subtraction of the mean value from the amplitude values at each single electrode.
As the analysis was focused on the difference in P3 between invalidly and validly cued targets, a major challenge was the low percentage (20%) of invalidly cued targets presented to each subject. This low number of trials was further decreased by the rejection of EEG segments containing artefacts or recorded during incorrect trials. In the end the mean number of invalid trials for the sham and right IPS condition was 19.7 (±0.5 standard error, SE) and 17.4 (± 0.7 SE), respectively. Even if low, this number was adequate for the planned analysis. In fact robust P3 ERP components can be obtained by averaging a small number of event-related EEG segments as compared to other components of ERPs or EPs (i.e. N1 or P1). This is due to P3’s high amplitude and broad shape that allows for an effective summation of the voltages across the EEG segments (low jitter effect). Accordingly, several previous EEG studies have recognized and measured P3 waveform even in single EEG segments, as for example in the case of brain computer interface applications (D’Avanzo et al., 2011; Zou te al., 2010; Warbrick et al., 2009; Li et al., 2009; Benar et al., 2007).
Analysis of ERPs components
For the two conditions (sham and right IPS), the artifact-free EEG trials were averaged with respect to the onset of the visual target stimuli (zerotime), in order to generate 2 classes of ERPs. The first class was constituted by EEG trials related to the valid target stimuli, while the second class was formed by EEG trials related to the invalid target stimuli. To avoid any artefact introduced by the stimulation in the baseline period, the peaks amplitude of the P3 component were calculated with reference to a baseline taken in a period preceding the rTMS from 0.5s before to the cue onset. The latency and amplitude of P3 peak, typically maximal over centroparietal recording sites, was measured at Pz electrode, in agreement with most literature on this topic. In particular, the P3 peak latency was defined as the instant showing the maximum amplitude of the late positive ERPs in the range from +300 ms to +600 ms.
Moreover, we also investigated the P2 component, usually associated with the detection of salient features of targets with respect to distracters across feature dimensions such as color, size, and space (O’Donnell et al., 1997; Eimer and Kiss, 2008; Akyürek et al., 2010). The P2 peak was defined as the positive peak at Pz electrode preceding the P3 peak.
The maps were represented on a 3D template cortical model by a spline interpolating function. This model is based on the magnetic resonance data of 152 subjects digitized at the Brain Imaging Center of the Montreal Neurological Institute (SPM96) (Figure 3).
Figure 3. Topography of ERPs components as function of rTMS conditions.

Topographic maps of P2 and P3 peaks amplitude.
Statistical analysis
Statistical comparisons were performed by ANOVAs for repeated measures. We used a Mauchley’s test to evaluate the sphericity assumption of the ANOVA, a Green-house-Geisser procedure for the correction of the degrees of freedom based, and Duncan tests for post-hoc comparisons (p<0.05).
For the analysis of the behavioral effects, we used reaction time (RT) and percentage of correct responses (Hits) to the target stimuli as a function of Condition (sham, right IPS), Target side (left, right), and Target validity (valid, invalid) as within-subject factors. For the ERPs analysis, we tested the hypothesis that the amplitude of scalp P3 peak was different in the two experimental conditions (sham and right IPS). To this aim, we carried out a statistical analysis (ANOVA) for the P3 amplitude peak measured at Pz electrode as a function of Condition (sham, and right IPS) and Target validity (valid, invalid) as within-subject factors. Moreover, we performed a similar statistical analysis for the P2 amplitude peak. Furthermore, we carried out a statistical analysis (ANOVA) comparing the P3 latency peak measured at Pz electrode as a function of Condition (sham, and right IPS) and Target validity (valid, invalid) taken as within-subject factors. The same statistical design was used for P2 latency peak.
Finally, to examine possible effect of target and electrode laterality, we carried out two analyses only for valid targets. The first statistical analysis (ANOVA) was on the P3 amplitude peak measured at Pz electrode as a function of Condition (sham, and right IPS) and Target side (left, right) as within-subject factors. The second statistical analysis (ANOVA) was on the P3 amplitude peak measured at parietal lateralized electrodes (P7, P8) as a function of Condition (sham, and right IPS), Target side (left, right), and Electrode (ipsilateral or contralateral to the target stimulus) as within-subject factors.
Results
Behavior
The first analysis confirmed in a larger group of subjects (N=24) behavioural observations of target identification deficits after right IPS-rTMS as reported in our publications (Capotosto et al., 2009; 2011). The train of rTMS was delivered for 150 ms simultaneously with the onset of a central cue stimulus (200 ms duration) covertly directing attention to a left or right location, whereas the target was briefly presented ~2 seconds later. There was a significant main effect of rTMS condition (Sham, R IPS) on both RTs (F (1,23)=16.1; p<0.0005) and accuracy (F (1,23)=21.7; p<0.0001). RTs were significantly slower after right IPS (567 ± 23 ms) as compared to Sham (526 ± 22 ms). In addition, right IPS significantly impaired response accuracy in both visual fields (84.8 ± 1.9 %) when compared to Sham (89.4 ± 1.5 %).
Repetitive TMS did not disrupt the observers’ ability to direct spatial attention to the target location as indicated by a significant main effect of Target validity (RTs: valid, 520 ms ± 23; invalid, 573 ms ± 23; F (1,23)=18.10 p<0.0003; accuracy: valid, 89.8% correct ± 1.6; invalid, 84.3% correct ± 1.7 F (1,23)=12.65 p<0.002). However, the decrement in accuracy after right IPS interference was especially severe for targets presented at unattended locations as indicated by a significant interaction of Condition by Target validity on accuracy (F(1,23)=4.70 p<0.04), and by relevant post-hoc tests (right IPS vs. sham for valid trials, p<0.02; right IPS vs. sham for invalid trials, p<0.0002; Figure 2c). Finally, as in our previous experiments (Capotosto et al., 2009, 2011), the effect of active- and pseudo-rTMS was not differential for left or right visual field targets. However, targets presented in the right visual field were identified more accurately and rapidly than targets presented in the left visual field as indicated by a significant main effect of Target side (left VF: 553 msec ± 23; right VF: 532 msec ± 23 F (1,23)=21.4 p<0.0001; accuracy: left VF: 85.1% correct ± 2.2; right VF: 89.0% correct ± 1.7 F (1,23)=7.48 p<0.02). This difference likely reflects the well-known superiority of the right visual field (left hemisphere) for alphabetical material (Rizzolatti et al., 1971).
Figure 2. Behavioral effects of rTMS at different cortical sites.

(a): Group means (± standard error, SE) of the accuracy (%). (b): Group means (± standard error, SE) of the reaction time (ms). Duncan post-hoc tests: one (p<0.0005) asterisk. (c): The accuracy of visual discrimination was significantly more impaired on invalid trials after rTMS in right IPS than sham. Duncan post-hoc tests: one asterisk (p<0.02) or two asterisk (0.0002). (d): The reaction time of visual discrimination was equally impaired on invalid and valid trials after rTMS in right IPS.
EEG
Figure 3 shows the grand average map across subjects (N=24) of P2 and P3 peak amplitude in the two conditions (sham, right IPS) for valid and invalid trials, separately. Qualitatively, during both experimental conditions, valid targets produced a larger P2. On the contrary, only for the sham condition, invalid targets produced a larger P3 response. Right IPS stimulation seems to strongly reduce the P3 response to invalid targets. The maximum amplitude of P2 and P3 was bilaterally located in the parietal areas around the electrode Pz.
Figure 4A shows the time evolution of the grand average (N=24) ERP waveforms at Pz electrode in the sham and right IPS conditions separately for valid and invalid targets. The main finding of this study is that the ERPs waveforms at Pz electrode clearly show a reduction of the P3 amplitude on invalid targets after right parietal TMS as compared to sham. The mean latency of the P3 peak was +489 ms (± 20 SE) in the sham condition, and +488 ms (± 17 SE) in the right IPS condition (p=0.9). An ANOVA on P3 peak amplitude showed the main effect of Target validity (F (1,23)=8.86; p<0.007) with a stronger overall response to invalid than valid targets. Moreover, interestingly this analysis demonstrated a significant interaction of Condition (sham, right IPS) by Target validity (valid, invalid)(F (1,23)=12.75; p<0.002)(Figure 4c). Post-hoc tests confirmed that the difference in P3 amplitude between invalid and valid targets was maintained in the Sham condition (p<0.0005), but it was lost after right IPS-TMS. Conversely, an ANOVA on P2 peak amplitude only showed the main effect of Target validity (F (1,23)=13.08; p<0.002) with a stronger overall response to valid than invalid targets, but it was not observed an interaction of Condition (sham, right IPS) by Target validity (valid, invalid). (Fig. 4b). In summary, interference with right IPS anticipatory (pre-target) activity clearly disrupts only late (P3) target evoked response.
Figure 4. ERPs waveforms.

(a): Grand average (N=24) waveforms of event related potentials (ERPs), obtained averaging data of all subjects. These ERPs refer to the valid and invalid trials at Pz electrode in the sham and right IPS conditions (b): Group means (± standard error, SE) of the P2 peak amplitude. (c): Group means (± standard error, SE) of the P3 peak amplitude. Duncan post-hoc tests: one asterisk (p<0.0005).
To investigate if left IPS-rTMS stimulation caused similar electrophysiological interference, we analyzed the ERPs waveforms in a subset of subjects (10 out of 24) that participated in our previous study (Capotosto et al., 2011). Results showed that the ERP waveforms at Pz electrode after left parietal TMS have a similar trend to that observed after right parietal TMS. Namely, P3 amplitude was strongly reduced on invalid targets. There was no significant difference of Hemisphere overall (left IPS, right IPS) (p=0.73) or interaction of Hemisphere (left IPS, right IPS) by Target validity (valid, invalid) (p=0.17). Finally, comparing left IPS with Sham condition we also observed a similar interaction of the right IPS. In fact, An ANOVA on P3 peak amplitude demonstrated a significant interaction of Condition (sham, left IPS) by Target validity (valid, invalid) (F (1,9)=9.03; p<0.02). Nevertheless, the restricted number of subjects on which we could run this analysis advices caution on its conclusions.
Finally, no main effects or interactions were observed in both analyses that examined possible effect of target (p<0.2) and electrode (p<0.3) laterality.
Discussion
We show that interference with anticipatory activity in right IPS during spatial orienting has behavioural and electrophysiological effects on the identification of targets presented outside of the current focus of attention. Repetitive TMS stimulation (duration 150 ms; frequency 20-Hz; intensity at 100% of individual motor threshold) at the beginning of a 2-sec long cue period during a Posner orienting task impaired target discrimination of alphanumerical characters at a peripheral location, especially when presented at unattended or invalidly cued locations. In parallel, we observed a change of the normal P3 response with a reduction to unattended targets. Finally we observed similar effects for left IPS stimulation albeit on a smaller group of subjects.
First, we consider the possible mechanisms through which the P300 response to targets may be affected by IPS-rTMS during the cue period. In previous work, we showed that right IPS stimulation interferes with the normal alpha de-synchronization of the parieto-occipital cortex typically observed when subjects direct and maintain covert visuospatial attention to a peripheral location (Capotosto et al., 2009). The alpha de-synchronization is thought to represent an inhibitory mechanism that allows synchronization of higher frequencies (e.g. gamma) during visuospatial attention. Gamma coherence is thought to facilitate communication between distant neuronal populations by concentrating spike trains around the peak of the excitability cycle (Fries, 2005).
The presentation of targets causes an evoked response that reflect both a power increase as well as a phase-resetting of ongoing oscillations (Mazaheri et al., 2006). The interference observed around 300–400 ms then indicates interference with the above processes. In electrophysiological recordings with subdural grids from epileptic patients undergoing invasive monitoring for epilepsy, we observed during the Posner orienting task both delta (~2 Hz) phase resetting during the cue period, as well as theta phase resetting to targets across multiple occipital (e.g. MT), parietal (IPS/SPL, TPJ) and prefrontal areas (FEF, VFC)(Daitch et al 2011 SFN poster). The latency of this theta phase reset is around 300–400 ms comparable to the P300 evoked response. Interestingly this phase modulation was significantly stronger for invalidly cued (unattended) than validly cued (attended) targets. Our current experiment shows that interference with synchronization during the cue period has long-standing (>2 sec) and behaviorally relevant effects to targets. This could involve a smaller power response or more variable phase resetting to targets through mechanisms such as phase-to-amplitude coupling (Canolty et al., 2010) or cross-frequency phase coupling (Jensen et al., 2007). This interpretation, however, does not fit well with the relative normal latency of the P300 after right IPS stimulation, and the relative enhancement of the response to valid targets. Still valid targets were impacted by right IPS-rTMS at least behaviorally both in terms of latency and accuracy.
Next, let’s consider the interpretation of our findings from a more psychological perspective. Our results show that right IPS is a central core for the control not only of endogenous, but also stimulus-driven attention, i.e. re-orienting to unattended stimuli (see also the recent TMS study of Chica et al., 2011). Anatomically, this is consistent with a dual network model of attention derived from fMRI studies in healthy subjects and brain-injured patients with spatial neglect (Corbetta and Shulman, 2002, 2011; Corbetta et al 2008), in which both right IPS and right TPJ play an important role during spatial re-orienting. Physiologically, the fMRI pattern of response to unattended targets shares many of the physiolgical features of P300 (P3b) including sensitivity to target behavioral relevance and target frequency, sensory multi-modality, and lack of modulation by motor responses (see Corbetta et al., 2008; and Nieuwenhuis et al. 2005 for extensive discussions). A localization of P3b to temporoparietal cortex is also consistent with lesion studies (Knight et al. 1989), and fMRI studies of P3b (Stevens et al., 2005; Mantini et al., 2009).
The functional significance of P300 remains uncertain. Two main components have been distinguished through oddball paradigms, in which standard frequent stimuli are mixed in with rare targets (2-stimuli oddball) or rare targets and distracters (3-stimuli odball). Parietal P3b (to targets) has been linked to task-relevance and decision-making and may reflect memory-context updating processes and/or processing closure (Verleger, 1988; Picton, 1992). Frontocentral P3a (to distracters) is thought to reflect an aspect of the orienting response related to evaluative attention processes (Hruby and Marsalek 2003; Polich 2003). According to the context-updating theory of P3 generation, the brain networks generating the P3a and P3b are modulated by overall arousal level, which governs the amount of attention available for task performance (Polich and Comerchero 2003); the higher the global brain arousal, the higher the P3a and P3b amplitude (Polich and Comerchero 2003). Our P300 response to invalid targets is analogous to P3b.
The interference produced by right IPS-rTMS on P300 was relatively late latency (300–500 ms) suggesting that parietal P3b does not serve an early orienting response to the unexpected (rare) target locations, as shown by psychophysical estimates of stimulus-driven shifts of attention in the order of 50–100 ms (Corbetta et al. 2008). Rather, it may serve as a post-decision reset function consistent with update theories of P3 (Verleger, 1988; Picton 1992, Polich and Comerchero 2003), and more recent animal models of decision-making (Bouret and Sara, 2005; Aston-Jones and Cohen, 2005). Moreover, it has been noted that deficits induced by rTMS do not reflect a cumulative effect building up over many trials, but actually reflect interference with preparatory processes on a trial-by-trial basis. (Capotosto et al., 2009; Hamidi et al., 2010).
The final observation of our study was that right and left IPS stimulation produced similar findings. This is consistent with the notion that IPS is part of a bilateral and symmetrical dorsal attention network involved in the allocation of spatial attention, and that bilateral IPS activation is observed during the cue period of the Posner task (Corbetta et al., 2001; Corbetta & Shulman, 2002). Given the small sample size for the comparison (N=10 subjects) this conclusion is preliminary.
Conclusions
The present study shows a causal and temporally limited influence of a magnetic interference on right parietal cortex during cue stimulation on stimulus-driven spatial reorienting and target stimuli discrimination. Specifically, right IPS-rTMS following a spatial cue impairs detection of subsequently presented unattended (rare, invalid) visual targets, and correspondingly abolishes the typical difference in amplitude of the parietal P3b between invalid and valid targets, in the period of 300–500 ms post-stimulus. The present results suggest that causal interference with anticipatory processes in posterior parietal cortex during the pre-target spatial orienting has prolonged effects (> 2 seconds later) on stimulus-driven reorienting to unattended visual targets (i.e. P3b). These results directly show a functional interaction between systems for spatial orienting and re-orienting of attention (Corbetta & Shulman, 2002; Corbetta et al. 2008) and indicate an important role of IPS for human vision.
Acknowledgments
The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013), Grant Agreement ‘BrainSynch’ n° HEALTH-F2-2008-200728”. M.C was also supported by grants R01 MH096482-01 and HD06111706 from the National Institute of Health.
References
- Akyürek EG, Leszczyński M, Schubö A. The temporal locus of the interaction between working memory consolidation and the attentional blink. Psychophysiology. 2010 Apr 29; doi: 10.1111/j.1469-8986.2010.01033.x. [DOI] [PubMed] [Google Scholar]
- Axmacher N, Henseler MM, Jensen O, Weinreich I, Elger CE, Fell J. Cross-frequency coupling supports multi-item working memory in the human hippocampus. Proc Natl Acad Sci U S A. 2010 Feb 6;107(7):3228–33. doi: 10.1073/pnas.0911531107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Anderson B, Mishory A, Nahas Z, Borckardt JJ, Yamanaka K, Rastogi K, George MS. Tolerability and safety of high daily doses of repetitive transcranial magnetic stimulation in healthy young men. J Ect. 2006;22:49–53. doi: 10.1097/00124509-200603000-00011. [DOI] [PubMed] [Google Scholar]
- Aston-Jones G, Cohen JD. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annu Rev Neurosci. 2005;28:403–50. doi: 10.1146/annurev.neuro.28.061604.135709. [DOI] [PubMed] [Google Scholar]
- Babiloni C, Vecchio F, Miriello M, Romani GL, Rossini PM. Visuo-spatial consciousness and parieto-occipital areas: a high-resolution EEG study. Cereb Cortex. 2006 Jan;16(1):37–46. doi: 10.1093/cercor/bhi082. [DOI] [PubMed] [Google Scholar]
- Bouret S, Sara SJ. Network reset: a simplified overarching theory of locus coeruleus noradrenaline function. Trends Neurosci. 2005 Nov;28(11):574–82. doi: 10.1016/j.tins.2005.09.002. [DOI] [PubMed] [Google Scholar]
- Bressler SL, Tang W, Sylvester CM, Shulman GL, Corbetta M. Top-down control of human visual cortex by frontal and parietal cortex in anticipatory visual spatial attention. J Neurosci. 2008 Oct 1;28(40):10056–61. doi: 10.1523/JNEUROSCI.1776-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Broadbent D. The psychological demands of work. Proc R Soc Med. 1971;64(7):703–7. doi: 10.1177/003591577106400701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Canolty RT, Knight RT. The functional role of cross-frequency coupling. Trends Cogn Sci. 2010 Nov;14(11):506–15. doi: 10.1016/j.tics.2010.09.001. Review. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Capotosto P, Babiloni C, Romani GL, Corbetta M. Frontoparietal cortex controls spatial attention through modulation of anticipatory alpha rhythms. J Neurosci. 2009 May 6;29(18):5863–72. doi: 10.1523/JNEUROSCI.0539-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Capotosto P, Babiloni C, Romani GL, Corbetta M. Differential Contribution of Right and Left Parietal Cortex to the Control of Spatial Attention: A Simultaneous EEG-rTMS Study. Cereb Cortex. 2011 Jun 10; doi: 10.1093/cercor/bhr127. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chica AB, Bartolomeo P, Valero-Cabré A. Dorsal and ventral parietal contributions to spatial orienting in the human brain. J Neurosci. 2011 Jun 1;31(22):8143–9. doi: 10.1523/JNEUROSCI.5463-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corbetta M, Patel G, Shulman GL. The reorienting system of the human brain: from environment to theory of mind. Neuron. 2008 May 8;58(3):306–24. doi: 10.1016/j.neuron.2008.04.017. Review. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corbetta C, Shulman GL. Spatial neglect and attention networks. Annual Review of Neuroscience. 2011;34:569–99. doi: 10.1146/annurev-neuro-061010-113731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corbetta M, Shulman GL. Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002;3:201–15. doi: 10.1038/nrn755. [DOI] [PubMed] [Google Scholar]
- Eimer M. Spatial cueing, sensory gating and selective response preparation: an ERP study on visuo-spatial orienting. Electroencephalogr Clin Neurophysiol. 1993;88:408–420. doi: 10.1016/0168-5597(93)90017-j. [DOI] [PubMed] [Google Scholar]
- Eimer M. The N2pc component as an indicator of attentional selectivity. Electroencephalogr Clin Neurophysiol. 1996 Sep;99(3):225–34. doi: 10.1016/0013-4694(96)95711-9. [DOI] [PubMed] [Google Scholar]
- Eimer M, Kiss M. Involuntary attentional capture is determined by task set: evidence from event-related brain potentials. J Cogn Neurosci. 2008 Aug;20(8):1423–33. doi: 10.1162/jocn.2008.20099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hamidi M, Johson JS, Feredoes E, Postle BR. Does high-frequency repetitive transcranial magnetic stimulation produce residual and/or cumulative effects within an experimental session? Brain Topogr. 2011 Jan;23(4):355–67. doi: 10.1007/s10548-010-0153-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Handy TC, Mangun GR. Attention and spatial selection: electrophysiological evidence for modulation by perceptual load. Percept Psychophys. 2000;62:175–186. doi: 10.3758/bf03212070. [DOI] [PubMed] [Google Scholar]
- Harris IM, Benito CT, Ruzzoli M, Miniussi C. Effects of right parietal transcranial magnetic stimulation on object identification and orientation judgments. J Cogn Neurosci. 2008;20(5):916–26. doi: 10.1162/jocn.2008.20513. [DOI] [PubMed] [Google Scholar]
- Hruby T, Marsalek P. Event-related potentials—the P3 wave. Acta Neurobiol Exp (Wars) 2003;63(1):55–63. doi: 10.55782/ane-2003-1455. [DOI] [PubMed] [Google Scholar]
- Jensen O, Colgin LL. Cross-frequency coupling between neuronal oscillations. Trends Cogn Sci. 2007 Jul;11(7):267–9. doi: 10.1016/j.tics.2007.05.003. [DOI] [PubMed] [Google Scholar]
- Machii K, Cohen D, Ramos-Estebanez C, Pascual-Leone A. Safety of rTMS to non-motor cortical areas in healthy participants and patients. Clin Neurophysiol. 2006;117:455–71. doi: 10.1016/j.clinph.2005.10.014. [DOI] [PubMed] [Google Scholar]
- Mangun GR, Hillyard SA. Modulations of sensory-evoked brain potentials indicate changes in perceptual processing during visual-spatial priming. J Exp Psychol Hum Percept Perform. 1991;17:1057–1074. doi: 10.1037//0096-1523.17.4.1057. [DOI] [PubMed] [Google Scholar]
- Mantini D, Corbetta M, Perrucci MG, Romani GL, Del Gratta C. Large-scale brain networks account for sustained and transient activity during target detection. Neuroimage. 2009 Jan 1;44(1):265–74. doi: 10.1016/j.neuroimage.2008.08.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mazaheri A, Jensen O. Posterior alpha activity is not phase-reset by visual stimuli. Proc Natl Acad Sci U S A. 2006 Feb 21;103(8):2948–52. doi: 10.1073/pnas.0505785103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nieuwenhuis S, Aston-Jones G, Cohen JD. Decision making, the P3, and the locus coeruleus-norepinephrine system. Psychol Bull. 2005 Jul;131(4):510–32. doi: 10.1037/0033-2909.131.4.510. [DOI] [PubMed] [Google Scholar]
- O’Donnell BF, Swearer JM, Smith LT, Hokama H, McCarley RW. A topographic study of ERPs elicited by visual feature discrimination. Brain Topogr. 1997 Winter;10(2):133–43. doi: 10.1023/a:1022203811678. [DOI] [PubMed] [Google Scholar]
- Oliveri M, Zhaoping L, Mangano GR, Turriziani P, Smirni D, Cipolotti L. Facilitation of bottom-up feature detection following rTMS-interference of the right parietal cortex. Neuropsychologia. 2010;48(4):1003–10. doi: 10.1016/j.neuropsychologia.2009.11.024. [DOI] [PubMed] [Google Scholar]
- Picton TW. The P300 wave of the human event-related potential. J Clin Neurophysiol. 1992 Oct;9(4):456–79. doi: 10.1097/00004691-199210000-00002. Review. [DOI] [PubMed] [Google Scholar]
- Polich J, Comerchero MD. P3a from visual stimuli: typicality, task, and topography. Brain Topogr. 2003 Spring;15(3):141–52. doi: 10.1023/a:1022637732495. [DOI] [PubMed] [Google Scholar]
- Posner MI. Orienting of attention. Quarterly Journal of Experimental Psychology. 1980;32:3–25. doi: 10.1080/00335558008248231. [DOI] [PubMed] [Google Scholar]
- Rossi S, Cappa SF, Babiloni C, Pasqualetti P, Miniussi C, Carducci F, Babiloni F, Rossini PM. Prefrontal [correction of Prefontal] cortex in long-term memory: an “interference” approach using magnetic stimulation. Nat Neurosci. 2001;4:948–52. doi: 10.1038/nn0901-948. [DOI] [PubMed] [Google Scholar]
- Rossi S, Hallett M, Rossini PM, Pascual-Leone A. Safety of TMS Consensus Group. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin Neurophysiol. 2009;120(12):2008–39. doi: 10.1016/j.clinph.2009.08.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rossini PM, Barker AT, Berardelli A, Caramia MD, Caruso G, Cracco RQ, Dimitrijević MR, Hallett M, Katayama Y, Lücking CH. Non invasive electrical and magnetic stimulation of the brain, spinal cord and roots: Basic principles and procedures for routine clinical application. Electroencephalography and Clinical Neurophysiology. 1994;91:79–92. doi: 10.1016/0013-4694(94)90029-9. [DOI] [PubMed] [Google Scholar]
- Ruff CC, Blankenburg F, Bjoertomt O, Bestmann S, Weiskopf N, Driver J. Hemispheric differences in frontal and parietal influences on human occipital cortex: direct confirmation with concurrent TMS-fMRI. J Cogn Neurosci. 2009 Jun;21(6):1146–61. doi: 10.1162/jocn.2009.21097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stevens MC, Calhoun VD, Kiehl KA. fMRI in an oddball task: effects of target-to-target interval. Psychophysiology. 2005 Nov;42(6):636–42. doi: 10.1111/j.1469-8986.2005.00368.x. [DOI] [PubMed] [Google Scholar]
- Talairach J, Tournoux P. Co-Planar Stereotaxic Atlas of the Human Brain. Thieme Medical Publishers, Inc; New York: 1988. [Google Scholar]
- Verleger R. Event-related potentials and cognition: A critique of the context updating hypothesis and an alternative interpretation of P3. Behav Brain Sci. 1988;11:343–427. [Google Scholar]
- Wassermann EM. Risk and safety of repetitive transcranial magnetic stimulation: report and suggested guidelines from the International Workshop on the Safety of Repetitive Transcranial Magnetic Stimulation, June 5–7. Electroencephalogr Clin Neurophysiol. (1998), 1996;108:1–16. doi: 10.1016/s0168-5597(97)00096-8. [DOI] [PubMed] [Google Scholar]
