Attention has a central function in the construction of every visual experience. This review considers the contributions of functional neuroimaging to our understanding of what visual attention is and how it works. It addresses four principle questions:
What is the locus of attentional selection? The debate concerning early versus late selection is evaluated in light of recent findings. New imaging evidence indicates that attention affects neural activity not only in extrastriate cortex, but also at the first stage of cortical information processing in primary visual cortex.
What exactly gets selected by attention? Behavioural data show that selection can operate at the level of spatial locations, visual features or objects. Imaging data provide support for all three types of visual selection, with attention modulating activity in areas specialized for processing the attended attributes.
How does attention affect the neural response to a stimulus? Attentional modulation of neural activity can reflect a multiplicative gain of the sensory response, or an additive increase in baseline activity. Although most imaging results are consistent with a gain mechanism, there is now evidence for top-down baseline shifts: attention can increase neural activity in extrastriate and even striate cortex in the absence of a stimulus.
Where do attentional signals come from? Recent evidence indicates that the source of attentional modulation stems from a fronto-parietal attention network. Several areas of this network participate in many kinds of attentional processing, including spatial orienting, eye movements, nonspatial selection and attention in non-visual modalities.
We are not passive recipients of the information that impinges on our retinae, but active participants in our own perceptual processes. Visual experience depends critically on attention. We select particular aspects of a visual scene for detailed analysis and control of subsequent behaviour, but ignore other aspects so completely that moments after they disappear from view we cannot report anything about them. Here we show that functional neuroimaging is revealing much more than where attention happens in the brain; it is beginning to answer some of the oldest and deepest questions about what visual attention is and how it works.
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Corbetta, M. et al. Attentional modulation of neural processing of shape, color, and velocity in humans. Science 248, 1556 –1559 (1990).A classic early PET study showing that selective attention to speed, colour or shape can modulate activity in extrastriate cortex, enhancing activity in regions that are apparently specialized for processing information related to the selected attribute.
O'Craven, K. M., Rosen, B. R., Kwong, K. K., Treisman, A. & Savoy. R. L. Voluntary attention modulates fMRI activity in human MT–MST. Neuron 18, 591–598 (1997).
Wojciulik, E., Kanwisher, N. & Driver, J. Covert visual attention modulates face-specific activity in the human fusiform gyrus: fMRI study. J. Neurophysiol. 79, 1574–1578 (1998).
Beauchamp, M. S., Cox, R. W. & DeYoe, E. A. Graded effects of spatial and featural attention on human area MT and associated motion processing areas. J. Neurophysiol. 78, 516–520 ( 1997).
Clark, V. P. et al. Selective attention to face identity and color studied with fMRI. Hum. Brain Mapp. 5, 293– 297 (1997).
Broadbent, D. Perception and Communication (Pergamon, London, 1958 ).
Deutsch, J. A. & Deutsch, D. Attention: some theoretical considerations . Psychol. Rev. 87, 272– 300 (1963).
Broadbent, D. Task combination and selective intake of information. Acta Psychol. 50, 253–290 ( 1982).
Tipper, S. P. & Driver, J. Negative priming between pictures and words in a selective attention task: evidence for semantic processing of ignored stimuli. Mem. Cogn. 16, 64– 70, (1988).
Driver, J. & Baylis, G. C. Movement and visual attention: the spotlight metaphor breaks down. J. Exp. Psychol. Hum. Percept. Perform. 15, 448–456 ( 1989).
Rock, I., Linnett, C. M., Grant, P. & Mack, A. Perception without attention: results of a new method. Cogn. Psychol, 24, 502–534 (1992).
Rees, G., Russell, C., Frith, C. D. & Driver, J. Inattentional blindness versus inattentional amnesia for fixated but ignored words. Science 286, 2504– 2507 (1999).
Luck, S. J. & Girelli, M. in The Attentive Brain (ed. Parasuraman, R.) 71–94 (MIT Press, Boston, 1998).
Moran, J. & Desimone, R. Selective attention gates visual processing in the extrastriate cortex. Science 229, 782–784 (1985).
Maunsell, J. H. R. The brain's visual world: representation of visual targets in cerebral cortex . Science 270, 764–769 (1995).
Roelfsema, P. R., Lamme, V. A. & Spekreijse, H. The implementation of visual routines. Vision Res. 40, 1385–1411 ( 2000).
Ito, M. & Gilbert, C. D. Attention modulates contextual influences in the primary visual cortex of alert monkeys. Neuron 22, 593–604 ( 1999).
Mehta, A. D., Ulbert, I. & Schroeder, C. E. Intermodal selective attention in monkeys. I: distribution and timing of effects across visual areas. Cereb. Cortex 10, 343–358 (2000).
Luck, S. J., Chelazzi, L., Hillyard, S. A. & Desimone, R. Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. J. Neurophysiol. 77, 24–42 (1997).
Motter, B. C. Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli. J. Neurophysiol. 70, 909–919 ( 1993).
Gandhi, S. P., Heeger, D. J. & Boynton, G. M. Spatial attention affects brain activity in human primary visual cortex. Proc. Natl Acad. Sci. USA 96 , 3314–3319 (1999).
Brefczynski, J. A. & DeYoe, E. A. A physiological correlate of the `spotlight' of visual attention. Nature Neurosci. 4, 370–374 ( 1999).This study used fMRI to show the neural correlates of the attentional `spotlight' in human retinotopic visual cortex. As subjects' attention moved from one location to the next with the stimulus held constant, cortical activity varied in a fashion similar to that observed when an actual stimulus moves over the same locations.
Somers, D. C., Dale, A. M., Seiffert, A. E. & Tootell, R. B. Functional MRI reveals spatially specific attentional modulation in human primary visual cortex. Proc. Natl Acad. Sci. USA 96 , 1663–1668 (1999).
Watanabe, T. et al. Task-dependent influences of attention on the activation of human primary visual cortex. Proc. Natl Acad. Sci. USA 95, 11489–11492 (1998).
Martinez, A. et al. Involvement of striate and extrastriate visual cortical areas in spatial attention. Nature Neurosci. 2, 364–369 (1999).An elegant study in which both ERPs and fMRI experiments were run on the same attentional paradigm; although the earliest cortical response to visual stimuli was not modulated by attention as measured by ERPs, attentional modulation was nonetheless found in the primary visual cortex, as measured with fMRI. The authors hypothesize that the attentional effects found with fMRI may represent a delayed, re-entrant feedback from higher visual areas or a sustained biasing of striate cortical neurons during attention.
Kastner, S., Pinsk, M., De Weerd, P., Desimone, R. & Ungerleider, L. Increased activity in human visual cortex during directed attention in the absence of visual stimulation. Neuron 22, 751–761 (1999). This is the first study to report attentional modulation of activity in retinotopic cortex in the absence of visual stimulation (a baseline shift). This effect was stronger in frontal and parietal areas, indicating that they provide the source of top-down control signals that bias neural activity in the visual cortex.
Lavie, N. Perceptual load as a necessary condition for selective attention. J. Exp. Psychol. Hum. Percept. Perform. 21, 451– 468 (1995).
Rees, G., Frith, C. D. & Lavie, N. Modulating irrelevant motion perception by varying attentional load in an related task. Science 28, 1616 –1619 (1997).Cortical area MT was activated more strongly by irrelevant motion stimuli when subjects carried out an easy primary task than a difficult one, consistent with Lavie's theory that attention selects early under conditions of high load and late under conditions of low load.
Handy, T. C. & Mangun, G. R. Attention and spatial selection: electrophysiological evidence for modulation by perceptual load. Percept. Psychophys. 62, 175–186 (2000).
Pardo, J. V., Pardo, P. J., Janer, K. W. & Raichle, M. E. The anterior cingulate cortex mediates processing selection in the Stroop attentional conflict paradigm. Proc. Natl Acad. Sci. USA 87, 256–259 (1990).
Casey, B. J. et al. Dissociation of response conflict, attentional selection, and expectancy with functional magnetic resonance imaging. Proc. Natl Acad. Sci. USA 97, 8728–8733 (2000).
Eriksen, B. A. & Eriksen, C. W. Effects of noise letters upon the identification of a target letter in a non-search task . Percept. Psychophys. 16, 143– 149 (1974).
Connor, C. E., Preddie, D. C., Gallant, J. L. & Van Essen, D. C. Spatial attention effects in macaque area V4. J. Neurosci. 17, 3201–3214 (1997).
Chaudhuri, A. Modulation of the motion aftereffect by selective attention. Nature 344, 60–62 ( 1990).
Treue, S. & Trujillo, J. C. M. Feature-based attention influences motion processing in macaque visual cortex. Nature 399, 575–579 (1999).
Duncan, J. Selective attention and the organization of visual information. J. Exp. Psychol. Gen. 113, 501–517 (1984).
Blaser, E., Pylyshyn, Z. & Holcombe, A. Tracking an object through feature-space. Nature (in the press).
Downing, P. & Kanwisher, N. fMRI evidence for location-based attentional selection. (Paper to be presented at the Society for Neuroscience, New Orleans, 2000.)
Anllo-Vento, L., Luck, S. J. & Hillyard, S. A. Spatio-temporal dynamics of attention to color: evidence from human electrophysiology. Hum. Brain Mapp. 6, 216–238 (1998).
Torriente, I., Valdes-Sosa, M., Ramirez, D. & Bobes, M. A. Visual evoked potentials related to motion-onset are modulated by attention . Vision Res. 39, 4122– 4139 (1999).
Eimer, M. Attentional modulations of event-related brain potentials sensitive to faces . Cogn. Neuropsychol. 17, 103– 116 (2000).
O'Craven, K., Downing, P. & Kanwisher, N. fMRI evidence for objects as the units of attentional selection. Nature 401, 584– 587 (1999).Subjects viewed stimuli consisting of a face transparently superimposed on a house, with one moving and the other stationary. Consistent with object-based models of attention, attention to one attribute of the stimulus (for example, the motion) produced not only enhancement in the cortical region coding that attribute (for example, MT), but also enhancement in the cortical region coding the other attribute of the same object (for example, the fusiform face area, when it was the face that was moving).
O'Craven, K. M. & Kanwisher, N. Visual imagery of moving stimuli activates area MT/MST. (Paper presented at the Society for Neuroscience, New Orleans,1997).
Kanwisher, N., McDermott, J. & Chun, M. The fusiform face area: a module in human extrastriate cortex specialized for the perception of faces. J. Neurosci. 17, 4302–4311 (1997).
Epstein, R. & Kanwisher, N. A cortical representation of the local visual environment. Nature, 392, 598 –601 (1998).
McAdams, C. J. & Maunsell, J. H. Effects of attention on the reliability of individual neurons in monkey visual cortex . Neuron 23, 765–773 (1999).
Reynolds, J., Pasternak, T. & Desimone, R. Attention increases sensitivity of V4 neurons. Neuron 26, 703–714 ( 2000).
Smith, A. T., Singh, K. D. & Greenlee, M. W. Attentional suppression of activity in the human visual cortex. Neuroreport 7, 271– 277 (2000).
Ress, D, Backus, B. & Heeger, D. Activity in primary visual cortex predicts performance in a visual detection task. Nature Neurosci. 3, 940–945 (2000).When subjects were cued by a tone to look for a dim annulus grating, activity in human V1 increased almost as much when no annulus was actually presented as when it was. This large stimulus-independent `baseline shift' in V1 predicted accuracy at the annulus detection task, showing that attentional effects in V1 are large and are predictive of task performance.
Shulman, G. L. et al. Areas involved in encoding and applying directional expectations to moving objects. J. Neurosci. 19, 9480 –9496 (1999).
Chawla, D., Rees, G. & Friston, K. J. The physiological basis of attentional modulation in extrastriate visual areas. Nature Neurosci. 2, 671–676 (1999).
Goebel, R., Khorram–Sefat, D., Muckli, L., Hacker, H. & Singer, W. The constructive nature of vision: direct evidence from functional magnetic resonance imaging studies of apparent motion and motion imagery. Eur. J. Neurosci. 10, 1563–1573 (1998). An fMRI study showing that mental imagery of motion activates cortical area MT; this activation was also observed in earlier areas, and increased with the synaptic distance of an area from V1 along the dorsal processing stream.
Kourtzi, Z. & Kanwisher, N. Activation in human MT/MST for static images with implied motion. J. Cogn. Neurosci. 12, 48–55 (2000).
O'Craven, K. & Kanwisher, N. Mental imagery of faces and places activates corresponding stimulus-specific brain regions. J. Cogn. Neurosci. (in the press).
Posner, M. I., Snyder, C. R. R. & Davidson, B. J. Attention and the detection of signals. J. Exp. Psychol. Gen. 109, 160–174 (1980).
Hillyard, S. A. & Anllo-Vento, L. Event-related brain potentials in the study of visual selective attention. Proc. Natl Acad. Sci. USA 95, 781–787 (1998).
Mesulam, M. M. A cortical network for directed attention and unilateral neglect. Ann. Neurol. 10, 309–325 (1981).
Vallar, G. & Perani, D. The anatomy of unilateral neglect after right-hemisphere stroke lesions. A clinical/CT-scan correlation study in man. Neuropsychologia 24, 609– 622 (1986).
Posner, M. I., Walker, J. A., Friedrich, F. J. & Rafal, R. D. Effects of parietal lobe injury on covert orienting of visual attention. J. Neurosci. 4, 1863–1874 (1984).
Robinson, D. L., Goldberg, M. E. & Stanton, G. B. Parietal association cortex in the primate: sensory mechanisms and behavioral modulations. J. Neurophysiol. 41, 910–932 (1978).
Wurtz, R. H. & Mohler, C. W. Enhancement of visual responses in monkey striate cortex and frontal eye fields. J. Neurophysiol. 39, 766–772 ( 1976).
Posner, M. I. & Petersen, S. E. The attention system of the human brain. Annu. Rev. Neurosci. 13, 25 –42 (1990).
Corbetta, M., Miezin, F. M., Shulman, G. L. & Petersen, S. E. A PET study of visuospatial attention. J. Neurosci. 13, 1202–1226 (1993).
Nobre, A. C. et al. Functional localization of the system for visuospatial attention using positron emission tomography. Brain 120, 515–533 (1997).
Vandenberghe, R. et al. Attention to one or two features in left or right visual field: A positron emission tomography study. J. Neurosci. 17, 3739–3750 (1997).
Shulman, G. L. et al. Areas involved in encoding and applying directional expectations to moving objects. J. Neurosci. 19, 9480 –9496 (1999).This study used both blocked and event-related fMRI to dissociate activity owing to an attentional cue, reflecting top-down control signals, versus detection of a relevant stimulus. Several areas (for example, precentral and intraparietal) were activated during the cue period, with others (for example, prefrontal cortex) activating just during target presentation (see also references 67,69).
Corbetta, M., Kincade, J. M., Ollinger, J. M., McAvoy, M. P. & Shulman, G. L. Voluntary orienting is dissociated from target detection in human posterior parietal cortex. Nature Neurosci. 3, 292–297 ( 2000).
Coull, J. T., Frith, C. D., Buchel, C. & Nobre, A. C. Orienting attention in time: behavioural and neuroanatomical distinction between exogenous and endogenous shifts. Neuropsychologia 38, 808–819 (2000).
Hopfinger, J. B., Buonocore, M. H. & Mangun, G. R. The neural mechanisms of top-down attentional control . Nature Neurosci. 3, 284– 291 (2000).
Colby, C. L. in Attention and Performance XVI (ed. Inui, T. & McClelland, J. L.) 157–177 (MIT Press, Cambridge, Massachusetts, 1996).
Andersen, R. A. Encoding of intention and spatial location in the posterior parietal cortex . Cereb. Cortex 5, 457– 469 (1995).
Rizzolatti, G., Riggio, L., Dascola, I. & Umilta, C. Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention. Neuropsychologia 25, 31–40 (1987).
Sweeney, J. A. et al. Positron emission tomography study of voluntary saccadic eye movements and spatial working memory. J. Neurophysiol. 75, 454–468 (1996).
Paus, T. Location and function of the human frontal eye-field: a selective review. Neuropsychologia 34, 475–483 (1996).
Coull, J. T. & Nobre, A. C. Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI. J. Neurosci. 18, 7426–7435 (1998).
Gitelman, D. R. et al. A large-scale distributed network for covert spatial attention: further anatomical delineation based on stringent behavioural and cognitive controls. Brain 122, 1093– 1106 (1999).
Corbetta, M. et al. A common network of functional areas for attention and eye movements. Neuron 21, 761– 773 (1998).
Culham, J. C. et al. Cortical fMRI activation produced by attentive tracking of moving targets. J. Neurophysiol. 80, 2657 –2670 (1998).
Nobre, A. C., Gitelman, D. R., Dias, E. C. & Mesulam, M. M. Covert visual spatial orienting and saccades: overlapping neural systems. Neuroimage 11, 210–216 ( 2000).
Le, T. H., Pardo, J. V. & Hu, X. 4T–fMRI study of nonspatial shifting of selective attention: cerebellar and parietal contributions. J. Neurophysiol. 79, 1535–1548 ( 1998).
Wojciulik, E. & Kanwisher, N. The generality of parietal involvement in visual attention. Neuron 23, 747– 764 (1999).This study found that several spatial and nonspatial visual attention tasks (but not a difficult task with minimal attentional requirements) produce overlapping activations in the intraparietal sulcus, consistent with the hypothesis that these areas support several modes of visual selection.
Lynch, J. C., Mountcastle, V. B., Talbot, W. H. & Yin, T. C. Parietal lobe mechanisms for directed visual attention. J. Neurophysiol. 40, 362–389 ( 1977).
Culham, J., Cavanagh, P., Kanwisher, N., Intriligator, J. & Nakayama, K. Varying attentional load produces different fMRI task response functions in occipitoparietal cortex and frontal eye fields. (Paper presented at the annual meeting of the Society of Neuroscience, New Orleans, LA, October, 1997).
Ungerleider, L. G. & Mishkin, M. in Analysis of Visual Behavior (ed. Ingle, D. J., Goodale, M. A. D. & Mansfield, R. J. W.) 549–586 (MIT Press, Cambridge, Massachusetts, 1982).
Corbetta, M., Shulman, G. L., Miezin, F. M. & Petersen, S. E. Superior parietal cortex activation during spatial attention shifts and visual feature conjunction. Science 270, 802– 805 (1995).This PET study investigated feature binding. Conjunction but not feature search activated superior parietal cortex, in a region previously shown (reference 63) to support spatial shifts of attention, consistent with the hypothesis that binding relies on a serial spatial attention mechanism.
Treisman, A. M. & Gelade, G. A feature-integration theory of attention. Cogn. Psychol. 12, 97–136 (1980).
Duncan, J. et al. Systematic analysis of deficits in visual attention. J. Exp. Psychol. Gen. 128, 450–478 (1999).
Husain, M., Shapiro, K., Martin, J. & Kennard, C. Abnormal temporal dynamics of visual attention in spatial neglect patients. Nature 385, 154–156 ( 1997).
Colby, C. L., Duhamel, J. R. & Goldberg, M. E. Visual, presaccadic, and cognitive activation of single neurons in monkey lateral intraparietal area. J. Neurophysiol. 76, 2841–2852 ( 1996).
Milner, A. D. & Goodale, M. A. The Visual Brain in Action (Oxford Univ. Press, Oxford, 1995).
Jonides, J. et al. Spatial working memory in humans as revealed by PET. Nature 363, 623–625 ( 1993).
Jonides, J. et al. The role of parietal cortex in verbal working memory. J. Neurosci. 18, 5026–5034 (1998).
Dehaene, S., Spelke, E., Pinel, P., Stanescu, R. & Tsivkin, S. Sources of mathematical thinking: behavioral and brain-imaging evidence. Science 284, 970– 974 (1999).
Platt, M. L. & Glimcher, P. W. Neural correlates of decision variables in parietal cortex. Nature 400, 233–238 (1999).
Duncan, J. et al. A neural basis for general intelligence. Science 289, 457–460 ( 2000).
Raichle, M. E. Behind the scenes of function brain imaging: A historical and physiological perspective. Proc. Natl Acad. Sci. USA 95, 765–772 (1998).
Chen, M. S. & Bookheimer, S. Y. Localization of brain function using magnetic resonance imaging. Trends Neurosci. 17, 268–277 (1994).
Buckner, R. L. et al. Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging. Proc. Natl Acad. Sci. USA 93, 14878– 14883 (1996).
Desimone, R. & Duncan, J. Neural mechanisms of selective visual attention. Annu. Rev. Neurosci. 18, 193– 222 (1995).
Duncan, J. Converging levels of analysis in the cognitive neuroscience of visual attention . Phil. Trans. R. Soc. Lond. B 353, 1307 –1317 (1998).
Treisman, A. Features and objects: the fourteenth Bartlett memorial lecture. Q. J. Exp. Psychol. 40A, 201–237 (1988).
Friedman–Hill, S. R., Robertson, L. C. & Treisman, A. Parietal contributions to feature binding: evidence from a patient with bilateral lesions. Science 269, 853–855 (1995).
Wojciulik, E. & Kanwisher, N. Implicit but not explicit feature binding in a Balint's patient. Vis. Cogn. 5, 157–181 ( 1998).
Pugh, K. R. et al. Auditory selective attention: an fMRI investigation. Neuroimage 4, 159–173 ( 1996).
Linden, D. E. et al. The functional neuroanatomy of target detection: an fMRI study of visual and auditory oddball tasks. Cereb. Cortex 9, 815–823 (1999).
Kawashima, R. et al. Selective visual and auditory attention toward utterances — a PET study. Neuroimage 10, 209– 215 (1999).
Klingberg, T. Concurrent performance of two working memory tasks: potential mechanisms of interference. Cereb. Cortex 8, 593– 601 (1998).
Tzourio, N. et al. Functional anatomy of human auditory attention studied with PET. Neuroimage 5, 63–77 (1997).
Burton, H. et al. Tactile attention tasks enhance activation in somatosensory regions of parietal cortex: a positron emission tomography study. Cereb. Cortex 9, 662–674 (1999).
Hadjikhani, N. & Roland, P. E. Cross-modal transfer of information between the tactile and the visual representations in the human brain: A positron emission tomographic study. J. Neurosci. 18, 1072–1084 ( 1998).
Banati, R. B., Goerres, G. W., Tjoa, C., Aggleton, J. P. & Grasby, P. The functional anatomy of visual-tactile integration in man: a study using positron emission tomography. Neuropsychologia 38, 115–124 ( 2000).
Macaluso, E., Frith, C. & Driver, J. Selective spatial attention in vision and touch: unimodal and multimodal mechanisms revealed by PET. J. Neurophysiol. 83, 3062–3075 (2000).
Downar, J., Crawley, A. P., Mikulis, D. J. & Davis, K. D. A multimodal cortical network for the detection of changes in the sensory environment. Nature Neurosci. 3, 277– 283 (2000).This paper reported that detection of changes in visual, auditory or tactile stimuli activates a right-lateralized multimodal network, including temporo-parietal junction and several frontal areas.
Duncan, J. & Owen, A. M. Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends Neurosci. 23, 475–483 (2000).
Luck, S. J. & Hillyard, S. A. in The New Cognitive Neurosciences (ed. Gazzaniga, M.) 687–700 (MIT Press, Cambridge, Massachusetts, 2000).
We thank M. Chun, P. Downing, R. Epstein, Y. Jiang, M. Shuman and D. Somers for helpful comments on the manuscript. Work on this paper was supported by a Human Frontiers grant to N.K.
- INATTENTIONAL BLINDNESS
In a typical experiment, the subject decides which is longer, the horizontal or vertical arm of a large cross presented at fixation. An unexpected stimulus is then presented in the region of the cross, and immediately after the subject responds to the cross they are asked if they saw anything else. On a substantial number of trials, subjects do not report noticing the presence of the object at all.
- EVENT-RELATED POTENTIALS
Electrical potentials generated in the brain as a consequence of synchronized activation of neuronal networks by external stimuli. These evoked potentials are recorded at the scalp and consist of precisely timed sequences of waves or `components' (Fig. 1).
- EXTRASTRIATE CORTEX
All visually responsive areas of cortex except primary visual cortex.
- PRIMARY VISUAL CORTEX
The cortical area that is the main recipient of visual information coming from the retinae (by way of the lateral geniculate nucleus, or LGN); also known as V1 or striate cortex.
- VENTRAL AND DORSAL VISUAL PATHWAYS
Visual information coming from V1 is processed in two interconnected but partly dissociable visual pathways, a `ventral' pathway extending into the temporal lobe thought to be primarily involved in visual object recognition, and a `dorsal' pathway extending into the parietal lobes thought to be more involved in extracting information about `where' an object is or `how' to execute visually guided action towards it.
- RETINOTOPIC MAPPING
An fMRI procedure in which the borders of retinotopic visual areas (V1, V2, V3, and so on) are delineated, along with a representation of eccentricity and polar angle.
- BOTTOM-UP, FEEDFORWARD PROCESSING
Information processing that proceeds in a single direction from sensory input, through perceptual analysis, towards motor output, without involving feedback information flowing backwards from `higher' centres to `lower' centres.
- TOP-DOWN FEEDBACK
The flow of information from `higher' to `lower' centres.
Middle temporal and medial superior temporal extrastriate areas involved in the analysis of visual motion information.
- FUSIFORM FACE AREA (FFA)
A cortical region in the middle fusiform gyrus that responds at least twice as strongly in fMRI when subjects view faces as when they view various nonface stimuli.
- PARAHIPPOCAMPAL PLACE AREA
A bilateral region in parahippocampal cortex that produces at least twice as strong a signal in fMRI when subjects view images of places (including indoor and outdoor scenes and houses) as when they view images of nonplaces (for example, objects and faces).
- BASELINE SHIFTS
The increased response in a given neural population in an attended compared with unattended condition when no stimulus is present at all. Such effects imply that attention increases neural activity in an additive rather than a multiplicative fashion. That is, the magnitude of the response to a given stimulus when attended (A) should be higher by a constant K than the magnitude of the response to the same stimulus when unattended ( U), or U + K = A.
- GAIN MODULATION
The multiplicatively higher response to an attended compared with an unattended stimulus. If attention works by gain modulation then Ug = A, that is, the magnitude of the response to a given stimulus when attended ( A) should equal the product of an attentional gain multiplier (g) and the magnitude of response to the same stimulus when unattended (U).
A neurological syndrome (often involving damage to right parietal cortex) in which patients show a marked difficulty in the ability to detect or respond to information in the contralesional field.
In displays composed of identical distractor stimuli (for example, red Xs), a stimulus with a unique feature (for example, a blue X) can be detected rapidly and effortlessly, with little or no increase in reaction time as the number of distractor stimuli increases.
Lateral intraparietal area in the posterior parietal cortex of the monkey; single-unit physiological studies have shown that this area contains visually sensitive cells that increase their firing rate when a stimulus in their receptive field is attended, or is a target for a stimulus-driven or memory-guided saccade.
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Kanwisher, N., Wojciulik, E. Visual attention: Insights from brain imaging. Nat Rev Neurosci 1, 91–100 (2000). https://doi.org/10.1038/35039043
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