|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
REPORT
Institute of Cognitive Neuroscience and Department of Psychology, University College London, London, United Kingdom
Submitted 5 January 2006; accepted in final form 18 April 2006
| ABSTRACT |
|---|
|
|
|---|
| INTRODUCTION |
|---|
|
|
|---|
Moore and Fallah (2001)
found lower luminance detection thresholds following electric stimulation of monkey FEF neurons 50175 ms before the onset of a visual stimulus in the motor receptive field of the FEF neuron. It is not clear, however, whether the improvement in detection was mediated by a direct change in sensitivity of the FEF neuron or by FEF stimulation activating connecting neurons in other areas, such as extrastriate or parietal cortex. A follow-up study of FEF-V4 interactions (Moore and Armstrong 2003
) showed that the sensitivity of neurons in extrastriate area V4 was increased if microstimulation was applied to the FEF if the endpoint of the saccade vector of the FEF neuron undergoing stimulation fell within the receptive field of the V4 neuron. This study has been interpreted as evidence of top-down modulation of V4 by FEF and also as supporting the premotor theory of attention (e.g., Smith et al. 2005
) because it shows an association between eye movements and covert attention; however, microstimulation was applied for only 50 ms between 200 and 500 ms after visual stimulus onset. In other words, the stimulus had been in the vector field of the FEF neuron for a significant period during which the monkey was attending to the visual stimulus, covering the time period both of visual processing and saccade preparation. Further, the microstimulation was applied only during a period when the monkey was preparing an eye movement to the stimulus. These two aspects of the experiment preclude any dissociation of sensory modulation from eye movement preparation (Juan et al. 2004
).
To examine the extent to which the findings from nonhuman primate physiology could be applied to the human cortex, Grosbras and Paus (2003)
, stimulated the human FEFs in a backward masking task and found that TMS applied 40 ms prior to the target onset improved detection sensitivity. As the authors note, however, it is possible that in this study the FEF were rendered more sensitive to incoming information rather than having an effect on the sensitivity of extrastriate visual areas. Moreover, the presentation of a visual stimulus to the retinaand therefore through the geniculostriate pathwaymeans that one cannot infer a specific effect of FEF stimulation on any particular visual area. More recently, Taylor et al. (2006)
applied TMS over the FEF and simultaneously measured occipital visual-evoked potentials (ERPs) while subjects performed a covert orienting task. They recorded from electrodes placed on the same hemisphere as the TMS stimulation and observed that the FEF TMS changed the responses of the visual cortex. They concluded that the "FEF exerts a causal influence over activity in the visual cortex" during voluntary orienting of attention.
Taken together, these lines of evidence (Moore and Fallah 2001
; Moore and Armstrong 2003
; Grosbras and Paus 2003
; Smith et al. 2005
; Taylor et al. 2006
) suggest that visual cortex sensitivity is modulated by FEF. To demonstrate this directly in humans and to explore the hemispheric organization of FEFsensory cortex interactions, we induced activity in the FEF via transcranial magnetic stimulation (TMS) and measured subjects' sensitivity to phosphenes induced by TMS over MT/V5. By locally inducing phosphenes with MT/V5 stimulation and hence bypassing the LGN and striate cortex, we were able to obtain a direct measure of the sensitivity of a specific extrastriate visual area MT/V5. We show that stimulation of FEF 2040 ms prior to stimulation of MT/V5 decreases the intensity of MT/V5 stimulation required to elicit a visual percept and therefore that the sensitivity of human MT/V5 is modulated by activity levels in the FEF. To control for site specificity, we also applied TMS to the vertex and MT/V5 at the same asynchronies as in the FEF condition, and to control for temporal specificity we applied TMS at seven different time points.
| METHODS |
|---|
|
|
|---|
Nine subjects took part in the investigation, eight of whom were naïve to its purpose. Seven subjects were tested in each condition, with five subjects in taking part in both right and left FEF TMS sessions. The subject who was not naive to purpose (J.S.) was naïve to the timing of the TMS pulses, as was the experimenter and all other subjects. The study was approved by the local ethics committee, and subjects gave informed consent. All subjects had previously participated in studies of phosphene perception, the advantage being that their phosphene thresholds (PTs) are stable.
TMS
TMS was administered with two Magstim Super Rapid stimulators (Magstim Company, Whitland, UK). The pulses were triggered remotely using a computer that controlled both stimulators, using E-Prime software. Fifty-millimeter figure-eight coils were used over both sites. The stimulation strength was always the same over FEF and Vertex, 65%, an intensity that has been used in many previous FEF studies (e.g., Muggleton et al. 2003
; O'Shea et al. 2004
) and is known to induce behavioral effects. Subjects were seated on a chair designed for massage so that the subject's head and body weight were forward and the head rested in a cushioned hole, which allowed the face to peer through. The head is more stable in this arrangement than in a conventional head and chin rest. The coils were fixed in place using "magic arm" (Manfrotto Bassano del Grappa, Italy) coil holders. The subjects' eyes were covered throughout the experiment, and they were instructed simply to report whether they had perceived a phosphene after each TMS pulse. All subjects reported phosphenes that were restricted to the visual field contralateral to stimulation of V5. To control for temporal specificity, we applied TMS at seven different time points. Specifically, TMS pulses were delivered at FEF/VertexMT/V5 stimulation asynchronies between 60 ms (FEF/Vertex TMS preceding MT/V5 TMS) and +60 ms (MT/V5 TMS preceding FEF/Vertex TMS) in 20-ms steps (Fig. 1C). After each TMS delivery, subjects reported verbally whether or not they had perceived a phosphene. To determine PTs for each TMS condition, the intensity of V5/MT pulse was varied according to a modified binary search (MOBS; Tirell and Owens 1988
), an adaptive threshold-finding algorithm. The TMS intensity was increased or decreased according to the subject's report on the previous trial. The original upper boundary of the stimulation was 100% of stimulator output, and the lower limit 0%. The number of trials required for setting a threshold depends on the consistency of the subject's reports and in this experiment was between 6 and 20 trials. Intertrial interval was determined by the subject's speed of response and was approximately 5 s per trial.
|
TMS was applied over locations that corresponded with the anatomical delineation of left and right FEF (Fig. 1) and left and right MT/V5 (Dumoulin et al. 2000
; Watson et al. 1993
) by structural magnetic resonance imaging (MRI) in each subject (see Muggleton et al. 2003
and O'Shea et al. 2004
for details). For MT/V5 an additional criterion was the induction of moving phosphenes (Stewart et al. 1999
). Vertex was used as an additional control stimulation site to control nonspecific effects of TMS. The stimulation sites were identified on each subject's T1-weighted MRI scan and coregistered with scalp coordinates. FEF was determined anatomically as lying over the posterior middle frontal gyrus, rostral of the junction of the precentral sulcus, and the superior frontal sulcus (Blanke et al. 2000
; Paus 1996
). In terms of scalp measurements, the average position of stimulation was 5 cm lateral of the saggital midline and 34 cm anterior of the hand area. This site corresponds well with our previous studies (Muggleton et al. 2003
; O'She et al. 2004
) and those of others (Leff et al. 2001
; Muri et al. 1991
). Mean Talairach coordinates were 32, 2, 47 for the right FEF and 32, 2, 46 for the left FEF (Talairach and Tournoux 1988
; Paus 1996
). V5 can be accurately determined from the production of moving phosphenes (Stewart et al. 1999
), and we also determined this using Brainsight coregistration (following Campana et al. 2002
, 2005
).
Procedure
The order of the TMS conditions was intermixed pseudo-randomly, so that a condition in which FEF TMS preceded or followed MT/V5 TMS by a given time window was followed by a condition in which vertex TMS preceded or followed MT/V5 TMS in the same time window, and vice versa. There were three experimental sessions and in each session two conditions were carried out: One session consisted of right FEFright V5 and vertexright V5 conditions, another consisted of right FEFleft V5 and vertexleft V5, and another consisted of left FEFright V5 and left FEFleft V5 conditions. Within and between each session the order of TMS conditions was randomized. The structure of each session was 1) an SOA selected randomly by the software; 2) PTs measured for this SOA for both experimental conditions in that particular session (e.g., right FEFright V5 and vertexright V5); 3) the next SOA selected randomly; and 4) again, PTs measured for both experimental conditions for this SOA. The condition that was carried out second for the previous SOA is now carried out first. Whether a given timing started with an FEFMT/V5 or vertexMT/V5 condition was counterbalanced. In each condition, the PT was determined once using the binary search paradigm, which takes 620 trials. Because there were seven SOAs (60, 40, 20, 0, 20, 40, 50) and six experimental conditions (right FEFright V5; vertexright V5; right FEFleft V5; vertexleft V5; left FEFright V5; left FEFleft V5), the PT was measured a total of 42 times (14 times in each session), with an average of 12 trials required for each threshold. In addition, the baseline threshold (in which TMS was applied only over left or right MT/V5) was measured a total of 16 times (8 times for each V5)., Baseline thresholds were measured at the beginning and the end of each session, as well as after the fifth and ninth TMS/vertex conditions (as mentioned above, their were 14 threshold conditions in each session). The mean values of the baseline thresholds were 60% and 65% of the maximum stimulator output for left and right MT/V5, respectively. Stimulations of left and right MT/V5 were carried out on separate days. No vertex condition was run in comparison with the left FEF condition based on the prediction from Grosbras and Paus (2003)
that there would be left-right field differences in the effects of left FEF stimulation (specifically a null prediction for the left FEF stimulation) and our previous evidence that right and left FEF TMS have different effects on visual processing in the two visual fields (Muggleton et al. 2003
).
| RESULTS |
|---|
|
|
|---|
TMS over right FEF
The application of TMS to right hemisphere FEF decreased PTs in both right and left MT/V5. Figure 2A shows normalized PTs of right MT/V5 TMS as a function of each TMS condition. For the right MT/V5 TMS, a within-subjects ANOVA with stimulation site (FEF, vertex) and stimulation onset asynchrony (60, 40, 20, 0, +20, +40, +60) as factors indicated a significant interaction between stimulation site and timing (F[1,6] = 3.549; P = 0.007; mean square of error [MSE] = 0.0026). A paired-sample t-test revealed that FEF stimulation applied 20 ms before the MT/V5 pulse significantly lowered the PT in comparison to vertex stimulation at the same time window (t[6] = 5.012; P = 0.002; SD = 0.069; SE = 0.026). In contrast, there was no statistically significant difference between the FEF and vertex conditions when their stimulation postdated the MT/V5 pulse by 20 ms (t[6] = 0.323; P = 0.390; SD = 0.105; SE = 0.023).
|
TMS over left FEF
Figure 2C shows normalized PTs of right and left MT/V5 TMS as a function of each FEF TMS condition. The application of TMS to left FEF decreased PTs in left but not in right MT/V5. A within-subjects ANOVA with phosphene stimulation site (left vs. right MT/V5 TMS) and FEF stimulation onset asynchrony as factors indicated a significant interaction between phosphene stimulation site and SOA (F[1,6] = 3.402; P = 0.009; MSE = 0.0018). A paired-sample t-test revealed that FEF stimulation applied 20 ms before the left MT/V5 pulse significantly lowered the PT in comparison to right MT/V5 TMS at the same time window (t[6] = 6.148; P = 0.001; SD = 0.0387; SE = 0.0146). In contrast, there was no statistically significant difference between the right MT/V5 and left MT/V5 conditions when their stimulation postdated the MT/V5 pulse by 20 ms (t[6] = 0.832; P = 0.437; SD = 0.10; SE = 0.376).
Again, a moderate facilitatory effect of left FEF TMS on the activity of left MT/V5 is present at stimulation onset asynchronies (SOAs) that precede and postdate the time window of the strongest effect. At these time windows, however, the difference between the FEF and right MT/V5 condition was not statistically significant for the left MT/V5 condition (40 ms: t[6] = 2.126; P = 0.078; SD = 0.103; SE = 0.039; 0 ms: t[6] = 2.088; P = 0.082; SD = 0.094; SE = 0.036).
| DISCUSSION |
|---|
|
|
|---|
The FEFs are part of the frontoparietal network involved in many aspect of vision, but, as we noted in the introduction, the role of the FEF has not received the same attention as that of the PPC. To understand the function of the FEF within this network, however, requires a description of the similarities and differences between these two major nodes. One aspect of our findings reflects the well-established hemispheric asymmetry in attentional functions in humans, namely, that the right hemisphere is more commonly concerned with processing information in both visual fields, whereas the left hemisphere appears to be concerned only with the right visual field (e.g., Mesulam 1981
). That right FEF TMS decreased PTs in both visual fields whereas left FEF TMS only decreased PTs in the right visual field is consistent with this and adds to the many examples of similarities between the organization of FEF and PPC in vision and attention. For example, frontal and parietal areas have both been shown to produce neglect when damaged (Keating and Gooley 1988
; Mesulam 1999
); have both been shown to be important in detecting abrupt changes in the visual field (Beck et al. 2001
, 2005; Turatto et al. 2004
) and have been shown to be important in visual search (Donner et al. 2000
; Nobre et al. 2003
).
Demonstrating differences between the two nodes, however, is a less common finding, and our result may have implications in this regard. We interpret the effects of FEF. TMS on extrastriate activity to be evidence of a top-down role for FEF because it is consistent with a role for the early visual activity of FEF visual neurons (Murthy et al. 2001
). An area involved in control would be expected to be active early and by responding to target features, the FEF could increase the sensitivity of extrastriate neurons to task relevant parameters (e.g., Moore and Armstrong 2003
Moore and Fallah 2001
). Our finding may also help to understand why a recent TMS study obtained only equivocal evidence of a role for the PPC in top-down control (Hung et al. 2005
): damage to the frontoparietal network may only result in a disruption of top-down modulation if the early input to the FEF is disrupted. Both frontal and parietal nodes may be important for aspects of visual orienting and awareness, and there are reports of early visual responses, attributed to attentional processes in both. Bisley et al. (2005)
for example, recently reported rapid responses to visual stimuli of neurons in lateral intraparietal cortex, and Fuggetta et al. (2006)
reported that TMS over the PPC after onset of a visual search display can eliminate the N2pc component associated with target detection. This was interpreted as evidence of TMS interfering with spatial processes in the search task. Both FEF and PPC, then, have been associated with spatial top-down processing, but a major difference between them seems to be that the FEFs have also been associated with feature processes. Some physiological properties of the FEF may make it well placed to exert feature-related top-down influence: the FEF responds to visual stimuli very rapidly and is part of what has been called "the fast brain" (Bullier 2001
; O'Shea et al. 2004
); the organization of FEF-visual cortex connections is retinotopic (Schall et al. 1995
); FEF neurons show distinct feature-related activity (Thompson and Schall 1999
) and a preference for stimuli that are relevant as targets (Schall and Hanes 1993
); and preactivation of the FEF improves visual detection with the same spatial pattern of hemispheric specialization as found in the current study (Grosbras and Paus 2003
) and influences attention-related activity in the visual cortex (Taylor et al. 2006
). Further, comparison of the effects of FEF versus PPC stimulation using a partial report task designed to probe top-down control has shown that human FEF is important for target rather than distractor processing (Hung 2005
). The pattern of hemispheric asymmetries is an important component of interpreting the role of the FEF in humans and our effects show that the right FEF needs approximately 20 ms longer to influence the contralateral than the ipsilateral visual cortex, presumably due to callosal transmission time.
In summary, these findings extend and complement the microstimulation studies of nonhuman primate FEF (Moore and Fallah 2001
; Moore and Armstrong 2003
) and the magnetic stimulation study of Grosbras and Paus (2003)
in showing that FEF activity modulates the responses of visual cortex in a manner consistent with a role in top-down control of visual processing.
| ACKNOWLEDGMENTS |
|---|
|
|
|---|
| FOOTNOTES |
|---|
Address for reprint requests and other correspondence: J. Silvanto, Institute of Cognitive Neuroscience and Department of Psychology, University College London, 17 Queen Square, London, WC1N 3AR, United Kingdom (E-mail: juha.silvanto{at}ucl.ac.uk)
| REFERENCES |
|---|
|
|
|---|
Barone P, Batardiere A, Knoblauch K, and Kennedy H. Laminar distribution of neurons in extrastriate areas projecting to visual areas V1 and V4 correlates with the hierarchical rank and indicates the operation of a distance rule. J Neurosci 20: 32633281, 2000.
Beck DM, Muggleton N, Walsh V, and Lavie N. Right parietal cortex plays a critical role in change blindness. Cereb Cortex 16: 712717, 1982.
Beck DM, Rees G, Frith CD, and Lavie N. Neural correlates of change detection and change blindness. Nat Neurosci 4: 645650, 2001.[CrossRef][ISI][Medline]
Bichot N and Schall JD. Priming in macaque frontal cortex during pop-out visual search: feature-based facilitation and location based inhibition of return. J Neurosci 22: 46754685, 2002.
Bisley JW, Suresh Krishna B, and Goldberg ME. A rapid and precise on-response in posterior parietal cortex. J Neurosci 24: 18331838, 2005.
Blanke O, Spinelli L, Thut G, Michel CM, Perrg S, Landis T, and Seeck M. Location of the human frontal eye field as defined by electrical cortical stimulation. Anatomical, functional and electrophysiological characteristics. Neuroreport 11: 19071913, 2000.[ISI][Medline]
Bullier J. Integrated model of visual processing. Brain Res Rev 36: 96107, 2001.[CrossRef][Medline]
Campana G, Cowey A, and Walsh V. Priming of motion direction and area MT/V5: a test of perceptual memory. Cereb Cortex 12: 663669, 2002.
Campana G, Cowey A, and Walsh V. Visual area V5/MT remembers "what" but not "where." Cereb Cortex Doi: 10.193/cercor/bhj111. 2005.
Chambers CD and Mattingley JB. Neurodisruption of selective attention: insights and implications. Trends Cogn Sci 9: 542550, 2005.[CrossRef][ISI][Medline]
Collin NG, Cowey A, Latto R, and Marzi C. The role of frontal eye-fields and superior colliculi in visual search and non-visual search in rhesus monkeys. Behav Brain Res 4: 177193, 1982.[CrossRef][ISI][Medline]
Donner T, Kettermann A, Diesch E, Ostendorf F, Villringer A, and Brandt SA. Involvement of the human frontal eye field and multiple parietal areas in covert visual selection during conjunction search. Eur J Neurosci 9: 34073414, 2000.
Dumoulin SO, Bittar RG, Kabani NJ, Baker CL, Jr, Le Goualher G, Bruce Pike G, and Evans AC. New anatomical landmark for reliable identification of human area MT/V5: a quantitative analysis of sulcal patterning. Cereb Cortex 10: 454463, 2000.
Fuggetta G, Pavone E, Walsh V, Kiss M, and Eimer M. Cortico-cortical interactions in spatial attention: A combined ERP/TMS study. J Neurophysiol 2006. J Neurophysiol (January 25, 2006). doi:10.1152/jn. 01273.2005.
Giesbrecht B, Woldorff MG, Song AW, and Mangun GR. Neural mechanisms of top-down control during spatial and feature attention. Neuroimage 19: 496512, 2003.[CrossRef][ISI][Medline]
Gitelman DR, Nobre AC, Parrish TB, LaBar KS, Kim YH, Meyer JR, and Mesulam M. A large-scale distributed network for covert spatial attention: further anatomical delineation based on stringent behavioural and cognitive controls. Brain 122: 10931106, 1999.
Grosbras MH and Paus T. Transcranial magnetic stimulation of the human frontal eye field facilitates visual awareness. Eur J Neurosci 18: 31213126, 2003.[CrossRef][ISI][Medline]
Hopfinger JB, Buonocore MH, and Mangun GR. The neural mechanisms of top-down attentional control. Nat Neurosci 3: 284291, 2000.[CrossRef][ISI][Medline]
Hung J. Transcranial Magnetic Stimulation Studies on the Control of Visual Selection (unpublished DPhil thesis). Oxford University. 2005.
Hung J, Driver J, and Walsh V. Visual selection and posterior parietal cortex: effects of repetitive transcranial magnetic stimulation on partial report analyzed by Bundesen's theory of visual attention. J Neurosci 25: 96029612, 2005.
Juan C-H, Shorter-Jacob SM, and Schall JD. Dissociation of spatial attention and saccade preparation. Proc Natl Acad Sci USA 101: 1554115544, 2004.
Keating EG and Gooley SG. Saccadic disorders caused by cooling the superior colliculus or the frontal eye field or from combined lesions of both structures. Brain Res 438: 247255, 1988.[CrossRef][ISI][Medline]
Latto R and Cowey A. Visual field defects after frontal eye-field lesions in monkeys. Brain Res 30: 124, 1971.[CrossRef][ISI][Medline]
Leff AP, Scott SK, Rothwell JC, and Wise RJ. The planning and guiding of reading saccades: a repetitive transcranial magnetic stimulation study. Cereb Cortex 11: 918923, 2001.
Mesulam MM. A cortical network for directed attention and unilateral neglect. Ann Neurol 10: 309325, 1981.[CrossRef][ISI][Medline]
Mesulam MM. Spatial attention and neglect: parietal, frontal and cingulated contributions to the mental representation and attentional targeting of salient extrapersonal events. Phil Trans R Soc Lond 354: 13251346, 1999.
Moore T and Armstrong KM. Selective gating of visual signals by microstimulation of frontal cortex. Nature 421: 370373, 2003.[CrossRef][Medline]
Moore T and Fallah M. Control of eye movements and spatial attention. Proc Natl Acad Sci USA 98: 12731276, 2001.
Muggleton NG, Juan C-H, Cowey A, and Walsh V. Human frontal eye fields and visual search. J Neurophysiol 89: 33403343, 2003.
Muri RM, Hess CW, and Meienberg O. Transcranial stimulation of the human frontal eye field by magnetic pulses. Exp Brain Res 86: 219223, 1991.[ISI][Medline]
Murthy A, Thompson KG, and Schall JD. Dynamic dissociation of visual selection from saccade programming in frontal eye field. J Neurophysiol 86: 26342637, 2001.
Nobre AC, Coull JT, Walsh V, and Frith CD. Brain activations during visual search: contributions of search efficiency versus feature binding. Neuroimage 18: 91103, 2003.[CrossRef][ISI][Medline]
O'Shea J, Muggleton NG, Cowey A, and Walsh V. Timing of target discrimination in human frontal eye field. J Cog Neurosci 16: 10601067, 2004.
O'Shea J and Walsh V. Trickle-down theories of vision. Current Biology 16: R206R209, 2006.[CrossRef][ISI][Medline]
Orban GA, Van Essen D, van Duffel W. Comparative mapping of higher visual areas in monkeys and humans. Trends Cogn Sci 8: 315324, 2004.[CrossRef][ISI][Medline]
Paus T. Location and function of the human frontal eye fields: a selective review. Neuropsychologia 34: 475483, 1996.[CrossRef][ISI][Medline]
Rizzolatti G, Riggio L, Dascola I, and Umilta C. Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention. Neuropsychologia 25: 3140, 1987.[CrossRef][ISI][Medline]
Schall JD and Hanes DP. Neural basis of saccade target selection in frontal eye field during visual search. Nature 366: 467469,1993.[CrossRef][Medline]
Schall JD, Morel A, King DJ, and Bullier J. Topography of visual cortex connections with frontal eye field in macaque: convergence and segregation of processing streams. J Neurosci 15: 44644487, 1995.[Abstract]
Smith DT, Jackson SR, and Rorden C. Transcranial magnetic stimulation of the left human frontal eye fields eliminates the cost of invalid endogenous cues. Neuropsychologia 43: 12881296, 2005.[CrossRef][ISI][Medline]
Stewart L, Battelli L, Walsh V, and Cowey A. Motion perception and perceptual learning studied by magnetic stimulation. Electroencephalogr Clin Neurophysiol Suppl 51: 334350, 1999.[CrossRef][Medline]
Talairach TJ and Tournoux P. Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional SystemAn Approach to Cerebral Imaging (1st ed.) New York: Thieme Medical Publishers, 1988.
Taylor PCJ, Nobre AC, and Rushworth MFS. FEF TMS affects visual cortical activity. Cereb Cortex 10.1093/cercor/bhj156, 2006.
Thompson KG and Schall JD. The detection of visual signals by macaque frontal eye field during masking. Nat Neurosci 2: 283288, 1999.[CrossRef][ISI][Medline]
Thompson KG, Biscoe KL, and Sato TR. Neuronal basis of covert attention in the frontal eye field. J Neurosci 25: 94799487, 2005.
Turatto M, Sandrini M, Miniussi C. The role of the right dorsolateral prefrontal cortex in visual change awareness. Neuroreport 15: 25492552, 2004.[CrossRef][ISI][Medline]
Tyrell RA and Owens DA. A rapid technique to assess the resting states of the eye and other threshold phenomena: the modified binary search (MOBS). Behav Res Methods Instrum Comput 20: 137141, 1998.
Watson JD, Myers R, Frackowiak RS, Hajnal JV, Woods RP, Mazziotta JC, Shipp S, and Zeki S. MT/V5of the human brain: evidence from a combined study using positron emission tomography and magnetic resonance imaging. Cereb Cortex 3: 7994, 1993.
This article has been cited by other articles:
![]() |
V. Romei, V. Brodbeck, C. Michel, A. Amedi, A. Pascual-Leone, and G. Thut Spontaneous Fluctuations in Posterior {alpha}-Band EEG Activity Reflect Variability in Excitability of Human Visual Areas Cereb Cortex, September 1, 2008; 18(9): 2010 - 2018. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Tavares, A. D. Lawrence, and P. J. Barnard Paying Attention to Social Meaning: An fMRI Study Cereb Cortex, August 1, 2008; 18(8): 1876 - 1885. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Silvanto, N. Muggleton, N. Lavie, and V. Walsh The Perceptual and Functional Consequences of Parietal Top-Down Modulation on the Visual Cortex Cereb Cortex, May 30, 2008; (2008) bhn091v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. K. Murphey and J. H. R. Maunsell Electrical microstimulation thresholds for behavioral detection and saccades in monkey frontal eye fields PNAS, May 20, 2008; 105(20): 7315 - 7320. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. T. Sack, A. Kohler, S. Bestmann, D. E. J. Linden, P. Dechent, R. Goebel, and J. Baudewig Imaging the Brain Activity Changes Underlying Impaired Visuospatial Judgments: Simultaneous fMRI, TMS, and Behavioral Studies Cereb Cortex, December 1, 2007; 17(12): 2841 - 2852. [Abstract] [Full Text] [PDF] |
||||
![]() |
S.F.W. Neggers, W. Huijbers, C. M. Vrijlandt, B.N.S. Vlaskamp, D.J.L.G. Schutter, and J. L. Kenemans TMS Pulses on the Frontal Eye Fields Break Coupling Between Visuospatial Attention and Eye Movements J Neurophysiol, November 1, 2007; 98(5): 2765 - 2778. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. Romei, M. M. Murray, L. B. Merabet, and G. Thut Occipital Transcranial Magnetic Stimulation Has Opposing Effects on Visual and Auditory Stimulus Detection: Implications for Multisensory Interactions J. Neurosci., October 24, 2007; 27(43): 11465 - 11472. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. C. J. Taylor, A. C. Nobre, and M. F. S. Rushworth Subsecond Changes in Top Down Control Exerted by Human Medial Frontal Cortex during Conflict and Action Selection: A Combined Transcranial Magnetic Stimulation Electroencephalography Study J. Neurosci., October 17, 2007; 27(42): 11343 - 11353. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Laycock, D. P. Crewther, P. B. Fitzgerald, and S. G. Crewther Evidence for Fast Signals and Later Processing in Human V1/V2 and V5/MT+: A TMS Study of Motion Perception J Neurophysiol, September 1, 2007; 98(3): 1253 - 1262. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. M. Armstrong and T. Moore Rapid enhancement of visual cortical response discriminability by microstimulation of the frontal eye field PNAS, May 29, 2007; 104(22): 9499 - 9504. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |