Color vision in ADHD: Part 2 - Does Attention influence Color Perception?
© Kim et al.; licensee BioMed Central Ltd. 2014
Received: 13 May 2014
Accepted: 1 October 2014
Published: 24 October 2014
To investigate the impact of exogenous covert attention on chromatic (blue and red) and achromatic visual perception in adults with and without Attention Deficit Hyperactivity Disorder (ADHD). Exogenous covert attention, which is a transient, automatic, stimulus-driven form of attention, is a key mechanism for selecting relevant information in visual arrays.
30 adults diagnosed with ADHD and 30 healthy adults, matched on age and gender, performed a psychophysical task designed to measure the effects of exogenous covert attention on perceived color saturation (blue, red) and contrast sensitivity.
The effects of exogenous covert attention on perceived blue and red saturation levels and contrast sensitivity were similar in both groups, with no differences between males and females. Specifically, exogenous covert attention enhanced the perception of blue saturation and contrast sensitivity, but it had no effect on the perception of red saturation.
The findings suggest that exogenous covert attention is intact in adults with ADHD and does not account for the observed impairments in the perception of chromatic (blue and red) saturation.
KeywordsADHD Color saturation Contrast sensitivity Exogenous covert attention
Attention is known to compensate for the finite neural capacity in visual information processing by selecting relevant information [1–3]. Evidence from numerous neuroimaging studies support this compensatory role of attention in vision [4–7]. In particular, covert attention is considered to be a primary component of selective attention that allows us to select relevant information among competing visual stimuli without shifting one’s gaze (i.e., without saccadic eye movement) towards the relevant location . There are two modes of covert attention: endogenous and exogenous attention. Endogenous attention is a voluntary system involving the dorsal frontoparietal network whereby individuals intentionally direct attention to a given location [1–3, 7–12]. By contrast, exogenous attention is an involuntary attentional system that corresponds to an automatic orienting response to a location where sudden stimulation has occurred [1–3, 6–13], and is thought to operate via a ventral frontoparietal network that is largely lateralized to the right hemisphere [10, 14].
In individuals with ADHD, findings on exogenous covert attention are still unclear. A meta-analysis on covert visuospatial attention in ADHD found only a small effect size, which was not of large enough magnitude to have clinical significance . In another meta-analysis the authors concluded that exogenous covert attention is intact in ADHD . On the other hand, recently, Ortega et al. , using ERP methodology reported that individuals with ADHD showed poorer exogenous orienting (marked by larger cue-elicited P2 activation). However, they interpreted that this result may be related to impairments in the preparation stage for target processing rather than from impairments in exogenous covert attention. Specifically, participants with ADHD exhibited reduced contingent negative variation (CNV) in the preparation stage which is considered an index of low cortical arousal, related to working memory load.
Collectively, the preceding findings suggest that visual perception and its regulation by attentional processes, particularly exogenous covert attention, warrants further investigation in ADHD. In our companion paper, we found that adults with ADHD had difficulty in color saturation discrimination (blue and red), compared to the control group, but that the two groups did not differ in contrast perception. This finding is in line with previous studies that suggested functional problems in color perception problems, particularly in blue in children with ADHD [18–21]. Here, we investigate whether exogenous attention enhances or impedes chromatic and achromatic perception in the same sample of adults with and without ADHD.
Whether and how attention affects appearance is an issue that scientists have only recently begun to investigate systematically. This may be due to the difficulty in objectively testing and quantifying the subjective experience of perceived stimuli and changes in such experience with attention. Recently, a psychophysical paradigm has been developed to assess the phenomenological correlate of involuntary attention , making it possible to study subjective experience more objectively and rigorously [23–26].
Among the studies that have investigated the influence of exogenous covert attention on visual perception, much work has been done examining the effects on contrast sensitivity [1, 6–8, 12, 22, 27–30]. However, to our knowledge, only one study has examined the effects of exogenous covert attention on color saturation: it found that exogenous covert attention enhanced the perception of color saturation on red, green and blue .
To measure the role of exogenous covert attention on color saturation and contrast sensitivity, we employed the same paradigm [22, 28–32] described in our companion paper. The key experimental manipulation was the use of different pre-cues, which appear in central or peripheral (left vs. right) locations. The pre-cue is followed by the brief presentation of two stimuli simultaneously to either side of a central fixation point: one stimulus – the ‘standard’ - has a constant saturation/contrast level, whereas the other – the ‘test’ stimulus- varies in its saturation levels or contrast levels. The fast presentation of the cue (67 ms) and stimuli (40 ms) precludes saccadic eye movement, permitting a measure of exogenous covert attention. Three cue conditions are presented in this paradigm: 1) a test cue condition in which the cue appears adjacent to the test-stimulus location; 2) a neutral cue condition in which the cue is presented at the fixation point (at the center); and 3) a standard cue condition in which the cue appears adjacent to the standard-stimulus location. The key variable of interest is the Point of Subjective Equality (PSE) in the test, neutral and standard cue conditions for each stimulus (blue, red, and contrast). The PSE is measured when the two stimuli (test and standard) look subjectively the same, and so an observer would choose randomly between them. As such, the PSE is the 0.5 probability point.
The probability of choosing the test stimuli as a function of test stimuli saturation was plotted for each cue condition using a Weibull function . The PSE for each cue condition was calculated by finding the test stimulus saturation at which participants had a 50% chance of choosing the test stimuli. If exogenous covert attention enhances apparent color saturation and contrast sensitivity, pairwise comparisons should reveal significant differences between each cue type, with the PSE for the test cue condition being lower than the neutral cue, and the standard cue being higher than the neutral cue (i.e. test cue < neutral cue < standard cue). If the ADHD and control groups differed in exogenous covert attention, we would expect to find a main effect of group in PSE with different psychometric functions for PSE in the three cue conditions. If exogenous covert attention had differential effects in ADHD and control participants as a function of stimulus characteristics (e.g., chromatic versus achromatic), this would manifest as a significant interaction between group, cue, and stimulus type. Differences in PSE values among the cue conditions measure the impact of attention, independently from the saturation discrimination accuracy.
Means and standard deviations in PSE as a function of cue type between ADHD and control
Group × Cue type
(N = 29)
(N = 29)
Data were derived from the same group of adults with and without ADHD as reported in Part 1 of this study (Please refer to Part 1 for a detailed description of the inclusion and exclusion criteria). Thirty subjects with a confirmed diagnosis of ADHD (50% male; age range: 18–35 years old; mean age = 24 years old) were recruited through college and university accessibility services across the Greater Toronto Area. Participants were excluded if they were currently taking sedative or mood altering medication, or stimulant medication for ADHD, and if there were any known genetic or current vision problems present in first degree family members. Thirty control subjects matched on age and gender participated. The participation was voluntary and all participants provided informed written consent before starting the study. The study was approved by the Institutional Social Sciences, Humanities, and Education Research Ethics Board (Protocol reference # 28804).
Color saturation/contrast appearance task
The discrimination task used in our study was adapted from that implemented by Carrasco and colleagues to measure the role of exogenous covert attention in contrast sensitivity [22, 28–30, 32] and color saturation . Specific modifications included: (1) the use of ‘pure’ blue and red colored stimuli to better isolate the S – (L + M) and L-M opponent cone systems, (2) constant luminance (similar to ‘brightness’) was maintained across cue and stimulus conditions, as well as between the stimuli and background; and (3) the use of the same cue size and shape across cue and stimulus conditions. These modifications permitted a more rigorous comparison of group differences in discrimination ability by ensuring that all other features of the task and stimuli remained constant across all three tasks to eliminate possible confounds. A standard set of instructions was given verbatim to participants to avoid any confounds due to misinterpretation of the instructions (Additional file 1).
As described in Part 1, the color stimuli consisted of a uniformly-colored (blue or red) patch modulated by a modified Gaussian envelope that was elongated vertically and clipped at half-height. Two types of stimuli (standard and test) were presented randomly on the left and right sides of the screen. A standard stimulus has a constant saturation/contrast sensitivity, while test stimuli varied in the level of color saturation and contrast sensitivity. Standard blue stimuli had fixed color saturation (DKL saturation 1.40) whereas the saturation level of the blue test stimuli varied among 11 levels (.50 to 2.30). Similarly, the standard red stimuli had fixed color saturation (DKL saturation 0.35) and the red test stimuli varied among 11 levels (0.25 to 0.45).
For contrast stimuli, a standard Gabor (without a clipped Gaussian envelope) was presented at 3 cycles per degree (cpd) spatial frequency (approximately .36 of the total size in degrees). The standard stimuli had a fixed contrast level (28.2%), whereas the contrast level of the test stimuli varied among 11 levels (10% to 79.43%).
For all tasks (blue, red, contrast), the side of the monitor that the stimuli were presented on (right or left) and the level of the test stimuli were counterbalanced. The size of each stimulus was .36 (horizontal) × .57 (vertical) × 3° and located at 4°eccentricity. Stimuli were tilted either 20° to the left or the right. The fixation point was a 0.15° black dot. The cue was a 0.4° black dot (100 cd/ m2) located at 2° eccentricity above the stimuli. A total of 2112 trials were collected for each task which allowed for 192 trial points per each saturation level. Each cue condition (test, neutral, and standard) consisted of a total of 704 trials. For a more detailed description of the stimuli and task, see Carrasco, Ling and Read  for contrast and Fuller and Carrasco  for saturation, as well as the Appendix one of the companion paper.
The stimuli, which were generated using Matlab (MathWorks, Natick, MA) and custom code, were displayed on a 21-in. Dell LCD monitor (1024 " 768 pixels at 75 Hz) with Asus 64 bit operating system. The monitor was calibrated using a Photo research PR650 SpectraColorimeter (Chatsworth, CA) and Matlab calibration routines from the PsychToolbox3.
Data from each individual participant were reviewed using set criteria to assess their robustness. These criteria included: 1) data points with SD's greater than 3 were regarded as outliers and adjusted using a winsorizing technique ; 2) participant data points with a dynamic range of the psychometric function covering less than .70 were excluded, and 3) participant data with tilt accuracy less than .80 were excluded. The dynamic range of the psychometric function and the tilt accuracy were regarded as indices of participants’ motivation level as well as their basic ability to discern different saturation levels. In the present study, we used PSE data for all three cue conditions (test, neutral and standard) to measure the impact of exogenous covert attention in the perception of color saturation and contrast sensitivity.
The main analysis compared the effects of exogenous attention on the perception of chromatic saturation and contrast sensitivity. We conducted 3 repeated measures ANOVAs separately for chromatic and achromatic stimuli conditions. Specifically, we ran 2 (group: ADHD vs. control) × 3 (cue type: test, neutral, standard) repeated measures ANOVAs using PSE values from the blue, red, and contrast discrimination tasks. If indeed the attentional pre-cue alters perception of the stimuli, then a main effect of cue type would be expected. Furthermore, post-hoc pairwise comparisons should reveal significant differences between each cue type, with the PSE for the test cue condition being lower than the neutral cue, and the standard cue being higher than the neutral cue (i.e., test cue < neutral cue < standard cue). If the ability to engage in exogenous covert attention differs between the ADHD and the control group, then a main effect of group would be expected. Specifically, if individuals with ADHD were highly susceptible to exogenous covert attention, then the effects of attentional manipulation would be greater than the control group. When viewing the psychometric functions, we would expect the distance of PSE values between the neutral cue condition and the test and standard cue conditions to be exaggerated in the ADHD group (ADHD > control). Alternatively, if exogenous covert attention was impaired in ADHD, we would expect the psychometric functions of PSE values for all cue conditions to be close to each other, showing that the attentional modulation did not have an effect on visual perception.
Given that we found sex differences in color perception in our companion paper, we conducted a supplementary analysis to investigate possible sex differences in the role of exogenous covert attention in visual perception with three separate 2 (sex: male, female) × 2 (group: ADHD, control) × 3 (cue type: test, neutral, standard) repeated measures ANOVAs for blue, red, and contrast stimuli.
Cohen’s d was reported to measure the standardized magnitude of group differences, which is relatively insensitive to sample size. Conventionally, Cohen’s d ranging from 0.2-0.3 is considered to be a small effect size, and a Cohen’s d of 0.5 and 0.8 are considered to be medium and large effect sizes, respectively.
The role of exogenous covert attention on color and contrast appearance.
A significant main of effect of cue type was also found for red PSE [p = .01, ES = .15], but the differences in cue type were subtle in that the mean values for cue type varied over a small range (.351-.359). Post hoc pairwise comparisons revealed no significant differences between each cue type (test = neutral = standard) indicating that exogenous covert attention did not have any significant impact on the perception of red saturation, as is evident in Figure 2. No significant Group × Cue Type interaction was present. A main effect of group was present for red PSE across all cue types [p = .001, ES = .19; ADHD > control]. However, a post-hoc analysis performed to test a predicted group difference in the neutral cue condition (based on the results of the companion paper) revealed that this group difference was only present in the neutral cue condition (p = .019), but not in standard (p = .319) or test cue conditions (p = .375). We assume that this statistical group difference may have resulted from a very small standard deviation value in the neutral cue condition.
Sex differences in exogenous covert attention.
Means and standard deviations in PSE as a function of cue type between male and female participants
Control (n = 15)
ADHD (n = 13)
Control (n = 14)
ADHD (n = 16)
Cue type ( F)
Sex ( F)
Group ( F)
Cue type × Sex ( F)
Cue type × Group ( F)
Cue type × Sex × Group ( F)
The present study is the first to examine the effects of exogenous covert attention on chromatic and achromatic perception in individuals with ADHD. The main finding was that the effects of exogenous covert attention on chromatic (blue and red) as well as achromatic perception were similar for both the ADHD and control groups. Specifically, attention significantly enhanced perceived blue saturation and perceived contrast but did not influence the appearance of red saturation in either the ADHD or control groups. Moreover, there was no evidence that exogenous attention was altered in ADHD, suggesting that this form of selective attention is intact in ADHD.
The lack of a group difference in the exogenous covert attention towards chromatic and achromatic perception rules out the possibility that exogenous covert attention may account for the deficiency in chromatic saturation discrimination in adults with ADHD, as reported in our companion paper.
Comparison of parameter variables
Fuller et al. 2006
Color stimuli purity (in DKL space)
On S cone axis
On S cone axis
On a diagonal between LM and S cone axes
On LM cone axis
Saturation level (=11)
1.52 ~ 4.70 (Standard = 2.87)
0.50 ~ 2.30 (Standard = 1.40)
0.81 ~ 1.07 (Standard = 0.95)
0.25 ~ 0.45 (Standard = 0.35)
Cue shape & size
Round, .3 × .3
Round, .4 × .4
To our knowledge, no previous study has investigated sex differences in exogenous covert attention in ADHD. Our results suggest that exogenous covert attention may work similarly for both males and females with and without ADHD. With healthy adults, Bayliss and colleagues  found that male and female attentional systems treat exogenous cues in similar ways. Studies that investigated endogenously cued attention such as vigilance and selective attention showed differential responses between the sexes. For instance, males are suggested to have greater selective spatial attention than females (using endogenously cued paradigm), which may be attributed to better spatial abilities [39, 40].
This study has some limitations. First of all, we did not have a direct measure of IQ, or scholastic ability, which limits the characterization of our sample. However, these college students must be of at least average intelligence to be able to successfully complete high school and gain college entrance. Furthermore, although we excluded all participants who reported any genetic visual problems as well as any visual problems in their families, our study could not empirically verify the presence of heterozygosity in X-linked cone photopigment expression or the nature of it (protan vs. deutan) in female participants. 15% of females are reported to inherit X-chromosome carrying an abnormal L/M array which could affect chromatic sensitivity . Future studies should scrutinize all possibilities of genetic predisposition of chromatic perception.
Despite the aforementioned limitations, in this paper, we show that exogenous covert attention does not play a role in the altered color perception in ADHD, which we reported in the companion paper. Specifically, we found that adults with ADHD made more errors than controls in discriminating higher blue and red saturation while not in contrast sensitivity, but that they did not differ from normal controls in terms of the beneficial effects of exogenous attention on the perception of the saturation of blue or on contrast sensitivity.
Future investigations examining the role of endogenous attention in visual perception should ascertain whether the differential effect of attention on red saturation is specific to exogenous covert attention. Also, using the fine temporal resolution of ERP methodology, one could measure pre-specified ERP components when exogenous covert attention is elicited and chromatic and achromatic stimulus is presented. This study may serve to find out if the involvement of the early visual cortex manifested in neurotypical observers [25, 42] would appear in individuals with ADHD as well.
This research was supported financially in part by the Canada Research Chair program (RT) and Ontario Graduate Scholarship (SK).
- Carrasco M: Visual attention: the past 25 years. Vision Res. 2011, 51 (13): 1484-1525. 10.1016/j.visres.2011.04.012.PubMed CentralView ArticlePubMedGoogle Scholar
- Chica A, Bartolomeo P, Lupianez J: Two cognitive and neural systems for endogenous and exogenous spatial attention. Behav Brain Res. 2013, 237: 107-123.View ArticlePubMedGoogle Scholar
- Anton-Erxleben K, Carrasco M: Attentional enhancement of spatial resolution: Linking behavioral and neurophysiological evidence. Nat Rev Neurosci. 2013, 14: 188-200. 10.1038/nrn3443.PubMed CentralView ArticlePubMedGoogle Scholar
- Jehee JF, Brady DK, Tong F: Attention improves encoding of task-relevant features in the human visual cortex. J Neurosci. 2011, 31 (22): 8210-8219. 10.1523/JNEUROSCI.6153-09.2011.PubMed CentralView ArticlePubMedGoogle Scholar
- Kelly SP, Gomez-Ramirez M, Foxe JJ: Spatial attention modulates initial afferent activity in human primary visual cortex. Cereb Cortex. 2008, 18 (11): 2629-2636. 10.1093/cercor/bhn022.PubMed CentralView ArticlePubMedGoogle Scholar
- Liu T, Pestilli F, Carrasco M: Transient attention enhances perceptual performance and fMRI response in human visual cortex. Neuron. 2005, 45: 469-477. 10.1016/j.neuron.2004.12.039.View ArticlePubMedGoogle Scholar
- Herrmann K, Montaser-Kouhsari L, Carrasco M, Heeger DJ: When size matters: attention affects performance by contrast or response gain. Nat Neurosci. 2010, 13 (12): 1554-1559. 10.1038/nn.2669.PubMed CentralView ArticlePubMedGoogle Scholar
- Posner MI, Petersen SE: The attention system of the human brain. Annu Rev Neurosci. 1989, 13: 25-42.View ArticleGoogle Scholar
- Chica A, Bartolomeo P, Valero-Cabré A: Dorsal and ventral parietal contributions to spatial orienting in the human brain. J Neurosci. 2011, 31 (22): 8143-8149. 10.1523/JNEUROSCI.5463-10.2010.View ArticlePubMedGoogle Scholar
- Corbetta M, Shulman GL: Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002, 3 (3): 215-229. 10.1038/nrn755.View ArticleGoogle Scholar
- Le TH, Pardo JV, Hu X: 4 T-fMRI study of nonspatial shifting of selective attention: Cerebellar and parietal contributions. J Neurophysiol. 1998, 79 (3): 1535-1548.PubMedGoogle Scholar
- Carrasco M: Covert attention increases contrast sensitivity: Psychophysical, neurophysiological and neuroimaging studies. Prog Brain Res. 2006, 154: 33-70.View ArticlePubMedGoogle Scholar
- Carrasco M, Giordano AM, McElree B: Temporal performance fields: Visual and attentional factors. Vision Res. 2004, 44 (12): 1351-1366. 10.1016/j.visres.2003.11.026.View ArticlePubMedGoogle Scholar
- Corbetta M, Patel G, Shulman GL: The reorienting system of the human brain: from environment to theory of mind. Neuron. 2008, 58 (3): 306-324. 10.1016/j.neuron.2008.04.017.PubMed CentralView ArticlePubMedGoogle Scholar
- Huang-Pollock CL, Nigg JT: Searching for the attention deficit in attention deficit hyperactivity disorder: The case of visuospatial orienting. Clin Psychol Rev. 2003, 23 (6): 801-830. 10.1016/S0272-7358(03)00073-4.View ArticlePubMedGoogle Scholar
- Mullane JC, Klein RM: Literature review: Visual search by children with and without ADHD. J Atten Disord. 2008, 12 (1): 44-53. 10.1177/1087054707305116.View ArticlePubMedGoogle Scholar
- Ortega R, López V, Carrasco X, Anllo-Vento L, Aboitiz F: Exogenous orienting of visual-spatial attention in ADHD children. Brain Res. 2013, 1493: 68-67.View ArticlePubMedGoogle Scholar
- Banaschewski T, Ruppert S, Tannock R, Albrecht B, Becker A, Uebel H, Sergeant JA, Rothenberger A: Colour perception in ADHD. J Child Psychol Psychiatry. 2006, 47 (6): 568-572. 10.1111/j.1469-7610.2005.01540.x.View ArticlePubMedGoogle Scholar
- Roessner V, Banaschewski T, Fillmer-Otte A, Becker A, Albrecht B, Uebel H, Sergeant JA, Tannock R, Rothenberger A: Color perception deficits in co-existing attention-deficit/hyperactivity disorder and chronic tic disorders. J Neural Transm. 2008, 115 (2): 235-239. 10.1007/s00702-007-0817-2.View ArticlePubMedGoogle Scholar
- Silva AP, Frère AF: Virtual environment to quantify the influence of colour stimuli on the performance of tasks requiring attention. Biomed Eng Online. 2011, 10 (1): 74-10.1186/1475-925X-10-74.PubMed CentralView ArticlePubMedGoogle Scholar
- Kim S, Chen S, Tannock R: Visual function and color vision in adults with Attention-Deficit/Hyperactivity Disorder. J Optometry. 2014, 7: 22-36. 10.1016/j.optom.2013.07.001.View ArticleGoogle Scholar
- Carrasco M, Ling R, Read S: Attention alters appearance. Nat Neurosci. 2004, 7 (3): 308-313. 10.1038/nn1194.View ArticlePubMedGoogle Scholar
- Luck SJ: Understanding awareness: One step closer. Nat Neurosci. 2004, 7 (3): 208-209. 10.1038/nn0304-208.View ArticlePubMedGoogle Scholar
- Treue S: Perceptual enhancement of contrast by attention. Trends Cogn Sci. 2004, 8 (10): 435-437. 10.1016/j.tics.2004.08.001.View ArticlePubMedGoogle Scholar
- Carrasco M: Cross-modal attention enhances perceived contrast. Proc Natl Acad Sci. 2009, 106 (52): 22039-22040. 10.1073/pnas.0913322107.PubMed CentralView ArticlePubMedGoogle Scholar
- Carrasco M: Attention: Psychophysical approaches. The Oxford Companion to Consciousness. Edited by: Bayne T, Cleeremans A, Wilken P. 2009, Oxford University PressGoogle Scholar
- Ling S, Carrasco M: Sustained and transient covert attention enhance the signal via different contrast response functions. Vision Res. 2006, 46: 1210-1220. 10.1016/j.visres.2005.05.008.PubMed CentralView ArticlePubMedGoogle Scholar
- Anton-Erxleben K, Abrams J, Carrasco M: Equality judgments cannot distinguish between attention effects on appearance and criterion: A reply to Schneider. J Vis. 2011, 11 (13): 1-8. 10.1167/11.13.1.View ArticleGoogle Scholar
- Fuller S, Rodriguez RZ, Carrasco M: Apparent contrast differs across the vertical meridian: Visual and attentional factors. J Vis. 2008, 8 (1): 1-16. 10.1167/8.1.1.View ArticlePubMedGoogle Scholar
- Fuller S, Park Y, Carrasco M: Cue contrast modulates the effects of exogenous attention on appearance. Vision Res. 2009, 49 (14): 1825-1837. 10.1016/j.visres.2009.04.019.PubMed CentralView ArticlePubMedGoogle Scholar
- Fuller S, Carrasco M: Exogenous attention and color perception: Performance and appearance of saturation and hue. Vision Res. 2006, 46 (23): 4032-4047. 10.1016/j.visres.2006.07.014.View ArticlePubMedGoogle Scholar
- Carrasco M, Fuller S, Ling S: Transient attention does increase perceived contrast of suprathreshold stimuli: A reply to Prinzmetal, Long and Leonhardt. Percept Psychophys. 2008, 70: 1151-1164. 10.3758/PP.70.7.1151.PubMed CentralView ArticlePubMedGoogle Scholar
- Bailey RL, Dell TR: Quantifying diameter distributions with the Weibull function. Forest Science. Forest Sci. 1973, 19 (2): 97-104.Google Scholar
- Tabachnick BG, Fidell LS: Using multivariate statistics. 2001, Boston: Pearson/Allyn & BaconGoogle Scholar
- Swanson JM, Posner M, Potkin S, Bonforte S, Youpa D, Fiore C, Cantwell D, Crinella F: Activating tasks for the study of visual-spatial attention in ADHD children: A cognitive anatomic approach. J Child Neurol. 1991, 6 (1 suppl): S119-S127.PubMedGoogle Scholar
- Wood C, Maruff P, Levy F, Farrow M, Hay D: Covert orienting of visual spatial attention in attention deficit hyperactivity disorder: Does comorbidity make a difference?. Arch Clin Neuropsychol. 1999, 14 (2): 179-189.PubMedGoogle Scholar
- Helenius P, Laasonen M, Hokkanen L, Paetau R, Niemivirta M: Impaired engagement of the ventral attentional pathway in ADHD. Neuropsychologia. 2011, 49 (7): 1889-1896. 10.1016/j.neuropsychologia.2011.03.014.View ArticlePubMedGoogle Scholar
- Bayliss A, di Pellegrino G, Tipper S: Sex differences in eye gaze and symbolic cueing of attention. Q J Exp Psychol. 2005, 58A: 631-650.View ArticleGoogle Scholar
- Harter MR, Miller SL, Price NJ, LaLonde ME, Keyes AL: Neural processes involved in directing attention. J Cogn Neurosci. 1989, 1 (3): 223-237. 10.1162/jocn.19184.108.40.206.View ArticlePubMedGoogle Scholar
- Merritt P, Hirshman E, Wharton W, Bethany S, Devlin J, Alan L: Evidence for gender differences in visual selective attention. Personal Individ Differ. 2007, 43: 597-609. 10.1016/j.paid.2007.01.016.View ArticleGoogle Scholar
- Rodriguez-Carmona M, Sharpe LT, Harlow JA, Barbur JL: Sex-related differences in chromatic sensitivity. Vis Neurosci. 2008, 25 (3): 433-440.View ArticlePubMedGoogle Scholar
- Störmer VS, McDonald JJ, Hillyard SA: Cross-modal cueing of attention alters appearance and early cortical processing of visual stimuli. Proc Natl Acad Sci. 2009, 106 (52): 22456-22461. 10.1073/pnas.0907573106.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.