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Dorsal and Ventral Attention Systems

Simone Vossel, Joy J. Geng, Gereon R. Fink

The Neuroscientist · 2013 · Review

doi:10.1177/1073858413494269

Abstract

The idea of two separate attention networks in the human brain for the voluntary deployment of attention and the reorientation to unexpected events, respectively, has inspired an enormous amount of research over the past years. In this review, we will reconcile these theoretical ideas on the dorsal and ventral attentional system with recent empirical findings from human neuroimaging experiments and studies in stroke patients. We will highlight how novel methods—such as the analysis of effective connectivity or the combination of neurostimulation with functional magnetic resonance imaging—have contributed to our understanding of the functionality and interaction of the two systems. We conclude that neither of the two networks controls attentional processes in isolation and that the flexible interaction between both systems enables the dynamic control of attention in relation to top-down goals and bottom-up sensory stimulation. We discuss which brain regions potentially govern this interaction according to current task demands.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 16, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

More than a decade ago, Corbetta and Shulman published their influential review article in which they introduced the concept of two anatomically and functionally distinct attention systems in the human brain. Broadly speaking, a dorsal frontoparietal system was proposed to mediate the top-down guided voluntary allocation of attention to locations or features, whereas a ventral frontoparietal system was assumed to be involved in detecting unattended or unexpected stimuli and triggering shifts of attention. Although the major nodes of the dorsal and ventral network—and many of their functional roles—are no longer debated, many critical questions remain. These outstanding issues concern the functional organization and hemispheric lateralization within each network, their specificity for attentional processes, and the interaction of the two networks with each other. The present review shall particularly focus on this latter aspect, that is, the interplay between the two networks for flexible attentional control. However, both networks will first be described separately in terms of their anatomy and functional specialization. Most of the work described will focus on the visuospatial attention system. It has been shown, however, that studies in other sensory modalities (such as audition and touch) reveal similar effects. This has led to the proposal that the dorsal and ventral networks are potentially supramodal attention systems.

Functional and Structural Anatomy of the Dorsal and Ventral Attention Systems

The following paragraph shall outline the critical nodes of the dorsal and ventral attention network and describe their functional and structural anatomy. Figure 1 provides a schematic overview over the components of both systems as well as putative candidate connections for their interaction.

The dorsal network (Fig. 1, blue) is supposed to be organized bilaterally and comprises the intraparietal sulcus (IPS) and the frontal eye fields (FEF) of each hemisphere. These areas are active when attention is overtly or covertly oriented in space (e.g., after a predictive spatial cue [arrow] in Posner’s location-cueing paradigm; ). Both IPS and FEF contain areas with retinotopically organized maps of contralateral space (Fig. 2; for a review, see ), which makes them candidate regions for the maintenance of spatial priority maps for covert spatial attention, saccade planning, and visual working memory. It has been proposed that the middle third of the IPS represents the human homologue of the monkey lateral intraparietal area LIP. Interestingly, the dorsal frontoparietal network is also activated during feature-based attention (e.g., when the color of a target stimulus is precued) and provides a spatial coding in multiple reference frames (see for a comprehensive review).

The ventral network comprises the temporoparietal junction (TPJ) and the ventral frontal cortex (VFC) (Fig. 1, orange) and typically responds when behaviorally relevant stimuli occur unexpectedly (e.g., when they appear outside the cued focus of spatial attention). In contrast to the dorsal nodes (FEF and IPS) for which homologue areas are well described in nonhuman primates and which are hence well characterized with regard to their neuronal receptive field properties, the existence of homologue areas of the ventral regions is debated. So far, no standardized anatomical definitions exist for the localization of TPJ and VFC (see also Geng and Vossel unpublished data). Although the cytoarchitectonic parcellation of the posterior parietal cortex has recently been characterized and can be used to specify the anatomical localization of fMRI activations, it has also been shown that functional activations do not clearly follow cytoarchitectonic boundaries. Furthermore, TPJ might not be a single unitary structure but rather consist of multiple subregions with different connectivity patterns. To date no topographic maps in these ventral areas have been detected, although this might be because of methodological limitations of human neuroimaging experiments. However, spatial specificity for the contralateral hemifield has been observed for the right TPJ in a recent transcranial magnetic stimulation (TMS) study.

It has been proposed that the ventral system is lateralized to the right hemisphere of the brain. Whereas functional imaging studies indeed more consistently report right-hemispheric activation in temporoparietal areas, the left TPJ has also been shown to subserve attentional functions, and several studies have observed bilateral TPJ activation in tasks tapping attentional reorienting and the processing of rare deviant stimuli. A study by found differences between left and right TPJ function, such that the left TPJ responded to invalidly as well as validly cued targets (as compared to trials with neutral cues) in a location-cueing paradigm, but the right TPJ showed higher activity for invalidly than validly cued targets.

Functional MRI studies looking at spontaneous (“resting-state”) functional connectivity between brain areas have shown that the dorsal and ventral networks are clearly distinguishable on the basis of their correlation patterns even under task-free conditions (see Fig. 3). This inherent segregation of the two networks is also evident in their white matter structural connectivity. For example, used frontoparietal brain regions activated in a visuospatial attention task as seeds for probabilistic fiber tracking and found different fiber tracts with dorsal and ventral trajectories between them. Three major fiber tracts connect frontoparietal brain regions: the dorsal, middle, and ventral superior longitudinal fasciculi (SLF I, SLF II, and SLF III). Interestingly, there is evidence for a dorsal to ventral gradient of lateralization of the three SLF, and the degree of hemispheric lateralization is related to visuospatial behavioral performance. Moreover, the connectivity patterns of left and right TPJ seem to be qualitatively different, with higher connectivity between TPJ and insula in the right hemisphere and higher connectivity between TPJ and the inferior frontal gyrus (IFG) in the left hemisphere.

Taken together, the dorsal and ventral networks are two anatomically segregated cortical systems with functionally specialized nodes promoting specific processes for attentional control. It is so far unclear whether—and if so to what extent—functional asymmetries exist between the dorsal and ventral areas of each hemisphere, although there is evidence for such asymmetries in the ventral system. We will return to this issue below when we reconsider each system in more detail and discuss how interactions between the dorsal and the ventral network might be implemented in the human brain to enable a flexible deployment of attention.

Top-Down Biases Emerging from the Dorsal System

It is now well recognized that the biasing of sensory areas (e.g., visual areas during the cue-induced expectation of a behaviorally relevant stimulus) emerges from higher-level areas in the frontoparietal cortex. Evidence for a crucial role of both IPS and FEF comes from functional imaging studies looking at the effective (i.e., causal or directed) connectivity between frontoparietal and sensory regions, as well as from studies combining fMRI with TMS.

Effective connectivity can be studied with analysis approaches such as dynamic causal modeling (DCM) or Granger causality. Studies investigating effective connectivity within the dorsal network have shown that IPS and FEF exert top-down influences on visual areas during the spatial orienting of attention. Using Granger causality analyses, demonstrated that both IPS and FEF influence the activity in visual areas in a top-down manner and that these influences are greater than the reverse bottom-up effects from visual cortex. A second study employing DCM has shown that directed influences from left and right IPS to left and right visual cortex are modulated by the direction of spatial attention in a “push-pull” fashion and cause a biasing of neural activity in visual areas. This finding is in accordance with the observation that the current locus of attention can best be decoded by interhemispheric differences of neural activity.

Besides investigating connectivity patterns between brain areas, the combination of TMS and fMRI provides a valuable technique to study the causal impact of TMS applied over a target region exerted on other remote brain areas (for a review, see ). In a series of studies, concurrent TMS of the FEF or IPS has been employed to investigate the neurostimulation effects on BOLD responses in visual areas. Paralleling the findings from effective connectivity fMRI studies, this work has demonstrated a significant modulation of visual cortex activity after both FEF and IPS TMS. However, in contrast to right IPS TMS, the effects of right FEF TMS differ for central and peripheral retinotopic visual areas. Moreover, the effects of right-hemispheric stimulation are more substantial then for left-hemispheric stimulation and are mostly observed in bilateral visual areas. Interestingly, the effects of parietal TMS are further modulated by the current attentional state. Although these findings do not allow for conclusions about the dorsal network architecture per se (i.e., the directness or indirectness of the stimulation effects), they for the first time provided causal evidence for the emergence of bias signals of visual cortex in FEF and IPS in humans (see for original work on FEF microstimulation in monkeys). These results are complemented by an fMRI study in patients with selective lesions in the intraparietal area. Here, it was shown that right IPS lesions lead to an asymmetric activation of retinotopic visual areas by task-irrelevant checkerboards. Interestingly, this effect was only present under high attentional load at fixation, thus highlighting the dynamic and state-dependent organization of the (visuo-)spatial network.

The investigation of the timing of responses in the different network nodes with methods offering a higher temporal resolution than fMRI (i.e., magnetoencephalography [MEG] or electroencephalography [EEG]) has provided further insights into the functionality of the dorsal system. A recent MEG study by examined the time course of direction-specific and direction-unspecific responses in several regions of interest after the onset of a centrally presented spatial cue that oriented attention to the left or right hemifield (see Fig. 4). The results showed early direction-specific responses in the cuneus and parietal areas, with direction-unspecific responses occurring later in time in frontal areas. Studies looking at oscillatory activity rather than event-related responses/fields moreover suggest that the involvement of the different regions at different time points is frequency-specific. In particular, visual and parietal areas show activity in the alpha and beta frequency bands in the cue-target period, whereas the appearance of the target stimulus is associated with a subsequent gamma band response. This finding is in line with the recent proposal that lower frequencies in the alpha and beta range mediate top-down (feedback) effects, whereas bottom-up (feedforward) effects involve gamma band activity.

In sum, recent research has clearly demonstrated that dorsal frontoparietal areas can causally modulate the activity of visual areas. However, the concurrent TMS fMRI studies challenge the view of strictly symmetrical functions of left and right IPS and FEF. Moreover, during spatial orienting of attention direction-specific responses can be found in the dorsal attention network, but these might critically depend on the time period after the onset of the spatial cue and hence may remain undetected by methods with low temporal resolution such as fMRI. It should further be noted that dorsal frontoparietal areas are also activated during feature-based attention, where attention is not directed to a particular location in space, and more research is needed to reveal the differential neural bases of these two attentional mechanisms (see however; ).

Reorienting Responses and Filtering in the Ventral System

The ventral attention system is typically recruited by infrequent or unexpected events that are behaviorally relevant (e.g., invalidly cued targets in the Posner task or oddballs). For this reason, this network has been implicated in stimulus-driven attentional control. During top-down guided attentional processing such as visual search, or under high visual short-term memory load, the activity in ventral areas such as TPJ is suppressed. This has been interpreted as a filtering mechanism during a focused state of attention to protect goal-driven behavior and visual short-term memory content from irrelevant distractors. These top-down signals most likely originate in dorsal regions such as IPS and FEF, which are active during visual search. Interestingly, the deactivation of TPJ changes into an activation when salient nontargets in a visual search array carry information about the target stimulus (contextual cueing; ). Analysis of effective connectivity has moreover shown that this behavior crucially depends on dorsal–ventral interactions (; see next section).

Human neuroimaging studies have shown that activation of TPJ can be observed across a variety of different cognitive domains such as attention, social cognition (“theory of mind”), and episodic memory. This has led to more generic interpretations of the role of this area in cognition. For instance, it has been proposed that TPJ might be generally involved in switching between different networks. Another hypothesis is that the ventral parietal cortex relates to bottom-up attentional processing, which can be triggered not only by external sensory stimuli but also by internal memory-based information. Moreover, the common involvement of TPJ in various domains might reflect a general role of this region for contextual updating (Geng and Vossel unpublished data). Hence, TPJ might not exclusively be involved in attentional reorienting and distractor filtering. Instead, the specific functions might rather depend on the connectivity of TPJ with other regions. Different subregions of TPJ are connected with different areas of the rest of the brain, which might explain the involvement of TPJ complex in multiple domains. In what follows, we will specifically focus on the significance of these network interactions between ventral and dorsal frontoparietal areas in relation to flexible attentional control.

Dorsal–Ventral Interactions

This last section shall now focus on the interplay between the dorsal and ventral attention systems during attentional processing. To date, it remains to be established which areas or pathways provide the interface between both systems. The initial assumption of that TPJ acts as a circuit-breaker for the dorsal network is difficult to perpetuate (; Geng and Vossel unpublished data). One of the main reasons for this concerns the latencies of visual responses, which are shorter for IPS and FEF than for TPJ (for a discussion of this issue, see ). In fact, a recent study using single cell recordings in monkeys has shown that early visual responses in the FEF are already correlated with perception and suggested that this fast activity might not be inherited from visual areas. These findings suggest that the TPJ plays a role in the later evaluation of sensory events with regard to top-down expectations rather than sending an early reorienting signal to dorsal regions. Besides the TPJ, the right posterior middle frontal gyrus (MFG) has been discussed as another candidate region for linking the dorsal with the ventral system. This proposal was motivated by functional connectivity studies of spontaneous fMRI activity, which observed that activity in the right MFG correlated with the activity of both attention networks. Moreover, functional resting-state connectivity between right MFG and TPJ has been shown to be correlated with functional connectivity between left and right IPS in acute neglect. Another study investigated the involvement of the dorsal and ventral attention network in surprise-induced blindness. Surprise-induced blindness describes a transient deficit in visual awareness after the foveal presentation of an unexpected task-irrelevant stimulus. The results from this study suggested that the inferior frontal junction (IFJ) (i.e., the cortex at the posterior end of the inferior frontal sulcus) might provide the interface between both systems. The activity pattern in the IFJ was more similar to dorsal frontoparietal regions than to the TPJ, which showed a distinct response profile during both surprise-induced blindness as well as orienting to an endogenous spatial cue (see Fig. 5). A study employing a combined location-cueing and oddball paradigm has moreover shown that the activity in this region at the posterior border of the inferior and middle frontal gyrus responds to the regularity of events: Activity in this area decreased when more validly cued standard targets were presented in succession. In contrast, the activity to an invalidly cued or deviant target was enhanced when more standard trials had been presented beforehand.

With regard to white matter fiber tracts, the SLF I connects dorsal frontoparietal areas and the SLF III connects ventral frontoparietal regions. The SLF II, however, connects the parietal component of the ventral network with the prefrontal component of the dorsal network and might hence provide a crucial communication pathway for the two systems. Damage to the SLF II has been shown to be the best predictor for spatial neglect (see below).

Having discussed potential hubs and pathways connecting both networks, we will proceed to review findings that highlight the collaborative roles of both circuits.

used TMS over the right IPS and TPJ to interfere with the orienting of attention after a spatial cue. Importantly, this study used two different cueing conditions. In the exogenous cueing condition, attention was cued by nonpredictive peripheral cues, while these cues predicted the location of the target with 67% cue validity in the endogenous cueing condition. Applying TMS over the right IPS interfered with both types of attentional orienting. In contrast, TMS of the right TPJ interfered with orienting in the exogenous condition only. These findings already highlight that dorsal and ventral networks seem to work in concert to promote specific attentional processes and that top-down or bottom-up processing cannot uniquely be attributed to one system in isolation.

Along the same lines, it is noteworthy that activation differences between invalid and valid trials (i.e., reorienting-related responses) in Posner’s location-cueing task are mostly observed in both dorsal and ventral frontoparietal areas (; see Fig. 6).

This is not surprising because (as discussed above) there is only weak evidence that ventral areas contain spatial maps that are needed to reorient attention in space. Interestingly, whereas both networks are activated in conjunction during attentional reorienting, the opposite effect is observed during visual search where activation of the dorsal network is accompanied by a deactivation in the ventral network (see Table 1). These results demonstrate the dynamic and flexible coupling of both systems in relation to current cognitive demands. This aspect is further highlighted by a study looking at Granger causality measures between dorsal and ventral networks and its impact on behavioral performance. In this fMRI study, subjects were asked to respond to target stimuli in the cued hemifield and to ignore all stimuli in the uncued hemifield. Effective connectivity was analyzed for the time series of right TPJ and right IPS, as well as for the average of all regions of interest within the dorsal and ventral networks. Stronger Granger causal influences from right TPJ to right IPS were associated with higher response times and lower accuracy. In contrast, stronger influences from IPS to TPJ were accompanied with better behavioral performance. The same pattern was observed when the connectivity results were averaged across areas of the dorsal and ventral system.

As noted above, the suppression of TPJ activity during top-down guided visual search is not observed in contextual cueing-paradigms, in which irrelevant stimuli carry predictive information about the target stimulus. observed that left TPJ and left IFG responded to the contextual relevance of nontarget stimuli and concluded that this signal is translated into an attentional control signal through interaction with dorsal regions. Using DCM, the authors showed that the FEF inhibited the TPJ when no informative stimuli were present. This finding demonstrates that dorsal regions filter information to the ventral network and that this mechanism indeed relies on interactive processes between dorsal and ventral regions such as FEF and TPJ. Moreover, this study shows that left-hemispheric areas and circuits also subserve attentional functions, hence further questioning the proposed strict right-lateralization of the ventral network.

Further valuable insights into dorsal–ventral interactions come from lesion or neuroimaging studies in brain-damaged patients. One of the most prominent impairments of attention after stroke is the spatial neglect syndrome, in which patients fail to orient and respond to events occurring in contralesional space. As this failure cannot be attributed to basic sensory-motor deficits alone, spatial neglect is often regarded as a disorder of spatial attention. Neglect symptoms can occur in all sensory modalities. The overall clinical manifestation of neglect resembles a disruption of the dorsal attention system, because the patients show a lateralized impairment in exploring and orienting to events in contralesional space. At the same time, neglect patients have difficulties in reorienting their attention to unexpected contralesional events. Although neglect can be caused by lesions to many different cortical or subcortical brain areas, lesions to inferior parietal areas or the white matter lying underneath have most consistently been associated with neglect. In other words, neglect is more commonly observed after structural damage to parts of the ventral (and not the dorsal) system. However, a neuroimaging study in stroke patients has shown that the structural damage of ventral areas is accompanied by a functional impairment in the dorsal network. investigated neglect patients with Posner’s location cueing task in the acute and recovered phases. They also employed fMRI in their patients to investigate activity changes in the two attentional systems. The presence of neglect in the acute stage was accompanied by an activity imbalance in dorsal parietal regions with a hyperactivation of left and a hypoactivation of right parietal areas. A similar pattern was observed for visual cortex. The activity imbalances were significantly related to neglect-related behavior in the Posner task and ameliorated with recovery from neglect. Moreover, a disruption of functional connectivity between parietal areas was characteristic for the presence of neglect. Although the specificity of the hemispheric activity imbalance for spatial neglect has been questioned by another fMRI study in acute stroke patients, these data highlight how the damage in one system affects the functionality in structurally intact remote networks. Moreover, it has been shown that altering the activity in these structurally intact but functionally impaired regions with noninvasive brain stimulation techniques can ameliorate the spatial bias in patients with neglect (see, e.g., ).

Besides a failure to orient voluntarily to contralesional space, neglect patients show pronounced difficulties in reorienting attention to invalidly cued contralesional targets when attention needs to be disengaged from locations on the ipsilesional side and this reorienting deficit has originally been linked to lesions of the TPJ. However, a recent neuroimaging study in patients with selective IPS lesions again challenges this simplified view and further emphasizes the notion that flexible attentional control relies on both dorsal and ventral mechanisms. In this study, it was observed that attentional reorienting towards invalidly cued targets can be impaired after selective damage to the IPS. Similar to patients with inferior parietal brain damage, the two patients with IPS lesions showed a pronounced performance decrement when contralesional targets had been preceded by an invalid cue. Whether the deficit was strictly lateralized or not depended on the exact location of the lesion along the IPS. Most important, functional neuroimaging revealed that this impairment could not be attributed to functional impairments of the ventral attention system. One possible explanation for this finding is that attentional reorienting relies on both dorsal and ventral systems (see also Fig. 6). This notion is further supported by a DCM fMRI study in healthy subjects, which showed a modulation of connectivity from TPJ to IPS during reorienting of spatial attention.

Conclusions

Although both dorsal and ventral attention systems are specialized for distinct attentional subprocesses such as top-down controlled attentional selection and the detection of unexpected but behaviorally relevant stimuli, respectively, it becomes obvious that flexible attentional control can only be implemented by dynamic interactions of both systems. Recent research has shown that this interaction pattern is flexible and crucially depends on the current task demands. Hence, activity in both systems can either be correlated or anticorrelated. There is evidence that this interplay is governed by frontal areas such as the inferior and middle frontal gyrus. The hemispheric functional specialization of each system and of their interaction needs to be addressed by future studies.

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