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1

van Ede, Freek, Alexander G. Board, and Anna C. Nobre. "Goal-directed and stimulus-driven selection of internal representations." Proceedings of the National Academy of Sciences 117, no. 39 (September 14, 2020): 24590–98. http://dx.doi.org/10.1073/pnas.2013432117.

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Adaptive behavior relies on the selection of relevant sensory information from both the external environment and internal memory representations. In understanding external selection, a classic distinction is made between voluntary (goal-directed) and involuntary (stimulus-driven) guidance of attention. We have developed a task—the anti-retrocue task—to separate and examine voluntary and involuntary guidance of attention to internal representations in visual working memory. We show that both voluntary and involuntary factors influence memory performance but do so in distinct ways. Moreover, by tracking gaze biases linked to attentional focusing in memory, we provide direct evidence for an involuntary “retro-capture” effect whereby external stimuli involuntarily trigger the selection of feature-matching internal representations. We show that stimulus-driven and goal-directed influences compete for selection in memory, and that the balance of this competition—as reflected in oculomotor signatures of internal attention—predicts the quality of ensuing memory-guided behavior. Thus, goal-directed and stimulus-driven factors together determine the fate not only of perception, but also of internal representations in working memory.
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Huang, Shanshan, Howard Berenbaum, and Philip I. Chow. "Distinguishing voluntary from involuntary attention to emotion." Personality and Individual Differences 54, no. 8 (June 2013): 894–98. http://dx.doi.org/10.1016/j.paid.2012.12.025.

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3

Denison, Rachel, David Heeger, and Marisa Carrasco. "Dynamics of voluntary and involuntary temporal attention." Journal of Vision 16, no. 12 (September 1, 2016): 588. http://dx.doi.org/10.1167/16.12.588.

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4

Prinzmetal, W. "A model of voluntary and involuntary attention." Journal of Vision 7, no. 9 (March 30, 2010): 955. http://dx.doi.org/10.1167/7.9.955.

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5

Landau, A., W. Prinzmetal, L. Robertson, and M. Silver. "Neural mechanisms of voluntary and involuntary attention." Journal of Vision 9, no. 8 (March 22, 2010): 103. http://dx.doi.org/10.1167/9.8.103.

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6

Elwan, D., A. Landau, S. Holtz, H. Duong, and W. Prinzmetal. "Individual differences in voluntary and involuntary attention." Journal of Vision 9, no. 8 (March 21, 2010): 134. http://dx.doi.org/10.1167/9.8.134.

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7

Wang, Yan, Jianhui Wu, Shimin Fu, and Yuejia Luo. "Orienting and Focusing in Voluntary and Involuntary Visuospatial Attention Conditions." Journal of Psychophysiology 24, no. 3 (January 2010): 198–209. http://dx.doi.org/10.1027/0269-8803/a000010.

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In the present study, we used event-related potentials (ERPs) and behavioral measurements in a peripherally cued line-orientation discrimination task to investigate the underlying mechanisms of orienting and focusing in voluntary and involuntary attention conditions. Informative peripheral cue (75% valid) with long stimulus onset asynchrony (SOA) was used in the voluntary attention condition; uninformative peripheral cue (50% valid) with short SOA was used in the involuntary attention condition. Both orienting and focusing were affected by attention type. Results for attention orienting in the voluntary attention condition confirmed the “sensory gain control theory,” as attention enhanced the amplitude of the early ERP components, P1 and N1, without latency changes. In the involuntary attention condition, compared with invalid trials, targets in the valid trials elicited larger and later contralateral P1 components, and smaller and later contralateral N1 components. Furthermore, but only in the voluntary attention condition, targets in the valid trials elicited larger N2 and P3 components than in the invalid trials. Attention focusing in the involuntary attention condition resulted in larger P1 components elicited by targets in small-cue trials compared to large-cue trials, whereas in the voluntary attention condition, larger P1 components were elicited by targets in large-cue trials than in small-cue trials. There was no interaction between orienting and focusing. These results suggest that orienting and focusing of visual-spatial attention are deployed independently regardless of attention type. In addition, the present results provide evidence of dissociation between voluntary and involuntary attention during the same task.
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8

Benfer, Natasha, Joseph R. Bardeen, and Thomas A. Fergus. "The Interactive Effect of Attention to Emotions and Emotional Distress Intolerance on Anxiety and Depression." Journal of Cognitive Psychotherapy 31, no. 2 (2017): 91–100. http://dx.doi.org/10.1891/0889-8391.31.2.91.

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Emotional distress intolerance (EDI) has been identified as a risk factor for mood and anxiety disorders. One factor that may influence the association between EDI and psychopathology is attention to emotions (AE). Recent evidence suggests that AE may encompass two dissociable components: voluntary and involuntary AE. This study aimed to examine the moderating role of both voluntary and involuntary AE in the association between EDI and psychological symptoms (i.e., anxiety, depression) in a sample of 955 community adults. We hypothesized that voluntary AE would buffer, and involuntary AE would enhance, the association between EDI and psychological symptoms. In partial support of our hypotheses, involuntary, but not voluntary, AE moderated the relationship between EDI and both symptom outcomes such that the positive associations between EDI and psychological symptoms were significantly stronger at higher, versus lower, levels of involuntary AE. Thus, individuals with relatively higher EDI and involuntary AE may be at particularly high risk for experiencing anxiety and depression. Clinical implications are discussed.
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9

Esterman, Michael, William Prinzmetal, Joseph DeGutis, Ayelet Landau, Eliot Hazeltine, Timothy Verstynen, and Lynn Robertson. "Voluntary and involuntary attention affect face discrimination differently." Neuropsychologia 46, no. 4 (2008): 1032–40. http://dx.doi.org/10.1016/j.neuropsychologia.2007.11.014.

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10

Hill, James M., John A. Sweeney, and Gretchen L. Haas. "Voluntary and involuntary shifts of attention in schizophrenia." Schizophrenia Research 24, no. 1-2 (January 1997): 132. http://dx.doi.org/10.1016/s0920-9964(97)82374-2.

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11

Fischer, Burkhart. "Voluntary and involuntary components in saccade and attention control." Behavioral and Brain Sciences 22, no. 4 (August 1999): 684–85. http://dx.doi.org/10.1017/s0140525x99322159.

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This commentary considers experimental material – some new, some from earlier studies – challenging the model presented by Findlay & Walker. It concentrates on the role of voluntary and involuntary visual attention versus fixation in saccade control and on the generation of antisaccades, reflexive prosaccades, and corrective saccades. The data of a large number of subjects are presented to show the systematic relationship between voluntary saccade generation, error production, and error correction in an antisaccade task.
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12

Landau, Ayelet N., Deena Elwan, Sarah Holtz, and William Prinzmetal. "Voluntary and involuntary attention vary as a function of impulsivity." Psychonomic Bulletin & Review 19, no. 3 (March 27, 2012): 405–11. http://dx.doi.org/10.3758/s13423-012-0240-z.

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13

Lincourt, Amy E., Charles L. Folk, and William J. Hoyer. "Effects of aging on voluntary and involuntary shifts of attention." Aging, Neuropsychology, and Cognition 4, no. 4 (December 1997): 290–303. http://dx.doi.org/10.1080/13825589708256654.

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14

Squire, P., P. Greenwood, and R. Parasuraman. "Involuntary but not voluntary orienting modulates the splitting of attention." Journal of Vision 9, no. 8 (March 21, 2010): 133. http://dx.doi.org/10.1167/9.8.133.

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15

Rokem, Ariel, Ayelet N. Landau, Dave Garg, William Prinzmetal, and Michael A. Silver. "Cholinergic Enhancement Increases the Effects of Voluntary Attention but Does Not Affect Involuntary Attention." Neuropsychopharmacology 35, no. 13 (September 1, 2010): 2538–44. http://dx.doi.org/10.1038/npp.2010.118.

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16

Brunner, Eugene, and Denis Mokrentsov. "Influence of involuntary automated motor activity upon voluntary attention and memory." SHS Web of Conferences 87 (2020): 00072. http://dx.doi.org/10.1051/shsconf/20208700072.

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The article deals with the changes and interaction of different attention and memory parameters under the influence of involuntary (automated) motor activity. Methodology. To simulate automated motor activity, we used chewing gum. To study attention, we used proofreading. We also tested short-term, long-term and working memory. 66 people at the age from 17 to 24 took part in the research. Conclusions. The conclusion is that automatic motor activity leads to considerable increase of attention and memory. This is expressed in the significant increase in the values of just about all the studied parameters, the change in the structure and strength of correlation relationships, and also (according to the cluster analysis) in the restructuring of the hierarchy of the information processing. The possible mechanisms of the phenomena under observation are discussed.
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17

Keefe, Jonathan M., and Viola S. Störmer. "Voluntary and involuntary attention elicit distinct biasing signals in visual cortex." Journal of Vision 19, no. 10 (September 6, 2019): 214b. http://dx.doi.org/10.1167/19.10.214b.

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18

Troche, S. J., M. E. Houlihan, J. F. Connolly, B. D. Dick, P. J. McGrath, G. A. Finley, and G. Stroink. "The effect of pain on involuntary and voluntary capture of attention." European Journal of Pain 19, no. 3 (March 2015): 350–57. http://dx.doi.org/10.1002/ejp.553.

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19

Knight, Robert T. "Distributed Cortical Network for Visual Attention." Journal of Cognitive Neuroscience 9, no. 1 (January 1997): 75–91. http://dx.doi.org/10.1162/jocn.1997.9.1.75.

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The contribution of prefrontal and posterior association cortex to voluntary and involuntary visual attention was as sessed using electrophysiological techniques in patients with focal lesions in prefrontal (n = 11), temporal-parietal (n = 10), or lateral parietal cortex (n = 7). Subjects participated in a task requiring detection of designated target stimuli embedded in trains of repetitive stimuli. Infrequent and irrelevant novel visual stimuli were randomly interspersed with the target and background stimuli. Controls generated attention dependent N1 (170 msec) and N2 (243 msec) potentials maximal over extrastriate cortex. Anterior and posterior association cortex lesions reduced the amplitude of both the N1 and N2 potentials recorded over extrastriate cortex of the lesioned hemisphere. The pattern of results obtained reveals that an intrahemispheric network involving prefrontal and posterior association cortex modulates early visual processing in extrastriate regions. Voluntary target detection generated a parietal maximal P300 response (P3b) and irrelevant novel stimuli generated a more frontocentrally distributed P300 (P3a). Cortical lesions had differential effects on P3a and P3b potentials. The P3b was not significantly reduced in any cortical lesioned group. Conversely, the P3a was reduced by both prefrontal and posterior lesions with decrements most severe throughout the lesioned hemisphere. These data provide evidence that an association cortex network involving prefrontal and posterior regions is activated during orientation to novel events. The lack of a significant effect on the visual target P3b in patients with novelty P3a reductions supports the notion that different neural systems are engaged during voluntary vs involuntary atten- tion to visual stimuli.
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20

Prinzmetal, William, Aleksey Zvinyatskovskiy, Paula Gutierrez, and Leo Dilem. "Voluntary and involuntary attention have different consequences: The effect of perceptual difficulty." Quarterly Journal of Experimental Psychology 62, no. 2 (February 2009): 352–69. http://dx.doi.org/10.1080/17470210801954892.

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21

Huang, Samantha, John W. Belliveau, Chinmayi Tengshe, and Jyrki Ahveninen. "Brain Networks of Novelty-Driven Involuntary and Cued Voluntary Auditory Attention Shifting." PLoS ONE 7, no. 8 (August 28, 2012): e44062. http://dx.doi.org/10.1371/journal.pone.0044062.

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22

Rokem, A., D. Garg, A. Landau, W. Prinzmetal, and M. Silver. "Effects of cholinergic enhancement on voluntary and involuntary visuospatial attention in humans." Journal of Vision 9, no. 8 (March 21, 2010): 132. http://dx.doi.org/10.1167/9.8.132.

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23

Pack, Weston, Stanley A. Klein, and Thom Carney. "Bias-free double judgment accuracy during spatial attention cueing: Performance enhancement from voluntary and involuntary attention." Vision Research 105 (December 2014): 204–12. http://dx.doi.org/10.1016/j.visres.2014.08.004.

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24

Wühr, Peter, and Lynn Huestegge. "The Impact of Social Presence on Voluntary and Involuntary Control of Spatial Attention." Social Cognition 28, no. 2 (April 2010): 145–60. http://dx.doi.org/10.1521/soco.2010.28.2.145.

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25

Li, Jiaofeng, Huayu Liao, Mowei Shen, and Zaifeng Gao. "Involuntary and voluntary processes compete for entering focus of attention of working memory." Journal of Vision 21, no. 9 (September 27, 2021): 2494. http://dx.doi.org/10.1167/jov.21.9.2494.

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26

Baek, K., N. Doñamayor, L. S. Morris, D. Strelchuk, S. Mitchell, Y. Mikheenko, S. Y. Yeoh, et al. "Impaired awareness of motor intention in functional neurological disorder: implications for voluntary and functional movement." Psychological Medicine 47, no. 9 (February 10, 2017): 1624–36. http://dx.doi.org/10.1017/s0033291717000071.

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BackgroundFunctional neurological disorders (FNDs), also known as conversion disorder, are unexplained neurological symptoms unrelated to a neurological cause. The disorder is common, yet poorly understood. The symptoms are experienced as involuntary but have similarities to voluntary processes. Here we studied intention awareness in FND.MethodA total of 26 FND patients and 25 healthy volunteers participated in this functional magnetic resonance study using Libet's clock.ResultsFND is characterized by delayed awareness of the intention to move relative to the movement itself. The reporting of intention was more precise, suggesting that these findings are reliable and unrelated to non-specific attentional deficits. That these findings were more prominent with aberrant positive functional movement symptoms rather than negative symptoms may be relevant to impairments in timing for an inhibitory veto process. Attention towards intention relative to movement was associated with lower right inferior parietal cortex activity in FND, a region early in the processing of intention. During rest, aberrant functional connectivity was observed with the right inferior parietal cortex and other motor intention regions.ConclusionsThe results converge with observations of low inferior parietal activity comparing involuntary with voluntary movement in FND, emphasizing core deficiencies in intention. Heightened precision of this impaired intention is consistent with Bayesian theories of impaired top-down priors that might influence the sense of involuntariness. A primary impairment in voluntary motor intention at an early processing stage might explain clinical observations of slowed effortful voluntary movement, heightened self-directed attention and underlie functional movements. These findings further suggest novel therapeutic targets.
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27

Hancock, Sarah, and Timothy J. Andrews. "The Role of Voluntary and Involuntary Attention in Selecting Perceptual Dominance during Binocular Rivalry." Perception 36, no. 2 (February 2007): 288–98. http://dx.doi.org/10.1068/p5494.

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28

Landau, A. N., M. Esterman, L. C. Robertson, S. Bentin, and W. Prinzmetal. "Different Effects of Voluntary and Involuntary Attention on EEG Activity in the Gamma Band." Journal of Neuroscience 27, no. 44 (October 31, 2007): 11986–90. http://dx.doi.org/10.1523/jneurosci.3092-07.2007.

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29

Boytsova, Yu A., S. G. Dan’ko, and M. L. Solov’yeva. "EEG Correlates of Voluntary and Involuntary Mental Attention in the Non-stationary Research Mode." Human Physiology 46, no. 2 (March 2020): 113–18. http://dx.doi.org/10.1134/s0362119720010041.

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Sokka, Laura, Marianne Leinikka, Jussi Korpela, Andreas Henelius, Lauri Ahonen, Claude Alain, Kimmo Alho, and Minna Huotilainen. "Job burnout is associated with dysfunctions in brain mechanisms of voluntary and involuntary attention." Biological Psychology 117 (May 2016): 56–66. http://dx.doi.org/10.1016/j.biopsycho.2016.02.010.

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31

Olk, Bettina, Elena Tsankova, A. Raisa Petca, and Adalbert F. X. Wilhelm. "Measuring effects of voluntary attention: A comparison among predictive arrow, colour, and number cues." Quarterly Journal of Experimental Psychology 67, no. 10 (October 2014): 2025–41. http://dx.doi.org/10.1080/17470218.2014.898670.

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The Posner cueing paradigm is one of the most widely used paradigms in attention research. Importantly, when employing it, it is critical to understand which type of orienting a cue triggers. It has been suggested that large effects elicited by predictive arrow cues reflect an interaction of involuntary and voluntary orienting. This conclusion is based on comparisons of cueing effects of predictive arrows, nonpredictive arrows (involuntary orienting), and predictive numbers (voluntary orienting). Experiment 1 investigated whether this conclusion is restricted to comparisons with number cues and showed similar results to those of previous studies, but now for comparisons to predictive colour cues, indicating that the earlier conclusion can be generalized. Experiment 2 assessed whether the size of a cueing effect is related to the ease of deriving direction information from a cue, based on the rationale that effects for arrows may be larger, because it may be easier to process direction information given by symbols such as arrows than that given by other cues. Indeed, direction information is derived faster and more accurately from arrows than from colour and number cues in a direction judgement task, and cueing effects are larger for arrows than for the other cues. Importantly though, performance in the two tasks is not correlated. Hence, the large cueing effects of arrows are not a result of the ease of information processing, but of the types of orienting that the arrows elicit.
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Roden, Paul W. "Reducing Neglect in Adult Hemiplegia: Recent Findings and Implications for Treatment." British Journal of Occupational Therapy 60, no. 8 (August 1997): 347–51. http://dx.doi.org/10.1177/030802269706000805.

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Neglect is a disorder of attentional and intentional processes most commonly observed following a cerebrovascular accident. Recent research indicates that neglect can be reduced by priming neural circuits unaffected by cerebral lesions; the more effective remediation strategies are those that prime neural circuits that are under some voluntary control, although new strategies that influence involuntary attentional mechanisms show therapeutic potential. The implications of recent studies involving single-case and group remediation efforts are discussed with respect to treatment and the theoretical context for understanding disorders of attention.
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33

Grubb, Michael A., Alex L. White, David J. Heeger, and Marisa Carrasco. "Interactions between voluntary and involuntary attention modulate the quality and temporal dynamics of visual processing." Psychonomic Bulletin & Review 22, no. 2 (August 13, 2014): 437–44. http://dx.doi.org/10.3758/s13423-014-0698-y.

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Enge, Sören, Monika Fleischhauer, Burkhard Brocke, and Alexander Strobel. "Neurophysiological Measures of Involuntary and Voluntary Attention Allocation and Dispositional Differences in Need for Cognition." Personality and Social Psychology Bulletin 34, no. 6 (March 14, 2008): 862–74. http://dx.doi.org/10.1177/0146167208315556.

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35

Prinzmetal, W., A. Rokem, A. Landau, D. Wallace, M. Silver, and M. D'Esposito. "The D2 dopamine receptor agonist bromocriptine enhances voluntary but not involuntary spatial attention in humans." Journal of Vision 10, no. 7 (August 2, 2010): 155. http://dx.doi.org/10.1167/10.7.155.

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36

Olk, Bettina, and Alan Kingstone. "Attention and ageing: Measuring effects of involuntary and voluntary orienting in isolation and in combination." British Journal of Psychology 106, no. 2 (July 18, 2014): 235–52. http://dx.doi.org/10.1111/bjop.12082.

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37

Barbot, Antoine, and Marisa Carrasco. "Attention Modifies Spatial Resolution According to Task Demands." Psychological Science 28, no. 3 (January 24, 2017): 285–96. http://dx.doi.org/10.1177/0956797616679634.

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How does visual attention affect spatial resolution? In texture-segmentation tasks, exogenous (involuntary) attention automatically increases resolution at the attended location, which improves performance where resolution is too low (at the periphery) but impairs performance where resolution is already too high (at central locations). Conversely, endogenous (voluntary) attention improves performance at all eccentricities, which suggests a more flexible mechanism. Here, using selective adaptation to spatial frequency, we investigated the mechanism by which endogenous attention benefits performance in resolution tasks. Participants detected a texture target that could appear at several eccentricities. Adapting to high or low spatial frequencies selectively affected performance in a manner consistent with changes in resolution. Moreover, adapting to high, but not low, frequencies mitigated the attentional benefit at central locations where resolution was too high; this shows that attention can improve performance by decreasing resolution. Altogether, our results indicate that endogenous attention benefits performance by modulating the contribution of high-frequency information in order to flexibly adjust spatial resolution according to task demands.
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38

Twilhaar, E. Sabrina, Artem V. Belopolsky, Jorrit F. Kieviet, Ruurd M. Elburg, and Jaap Oosterlaan. "Voluntary and Involuntary Control of Attention in Adolescents Born Very Preterm: A Study of Eye Movements." Child Development 91, no. 4 (September 18, 2019): 1272–83. http://dx.doi.org/10.1111/cdev.13310.

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39

Qian, Jiehui, Ke Zhang, Quan Lei, Yifei Han, and Wenwen Li. "Task-dependent effects of voluntary space-based and involuntary feature-based attention on visual working memory." Psychological Research 84, no. 5 (March 6, 2019): 1304–19. http://dx.doi.org/10.1007/s00426-019-01161-x.

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Pack, W., T. Carney, and S. Klein. "Shape-based cueing with central cues improves target identification and localization performance for voluntary and involuntary attention." Journal of Vision 13, no. 9 (July 25, 2013): 135. http://dx.doi.org/10.1167/13.9.135.

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Stoffer, Thomas H. "The time course of attentional zooming: A comparison of voluntary and involuntary allocation of attention to the levels of compound stimuli." Psychological Research 56, no. 1 (1993): 14–25. http://dx.doi.org/10.1007/bf00572129.

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42

Bondarenko, M., O. Bondarenko, V. Kravchenko, and M. Makarchuk. "Formation of attention in men and women during tasks performance with high cognitive load." Bulletin of Taras Shevchenko National University of Kyiv. Series: Problems of Physiological Functions Regulation 23, no. 2 (2017): 9–14. http://dx.doi.org/10.17721/2616_6410.2017.23.9-14.

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The differences in brain mechanisms that underlie the switch between involuntary and voluntary attention associated with gender were investigated. We compared reaction time, the number of errors and the electrical activity of the brain during the Emotional Stroop test on the background of visual content that contained affective images when presenting stimuli through a dominant and non-dominant eye in 20 men and 20 women. The model of significant cognitive load was created, when it is quite difficult to correctly respond to the relevant characteristics of the stimulus. Different patterns of brain activity have been found: in women, this task is accompanied by an increase in spectral power in the theta range of the predominantly left hemisphere; in men, the power of alpha rhythm in the parietal-occipital associative cortex decreases with the local increase of theta rhythm in the posterior-frontal areas and beta-rhythm in left prefrontal zone. Under the conditions of high cognitive load created by the distracting visual content and the perception of visual stimuli through the non-dominant eye, the brain mechanisms of voluntary attention provide a more thorough analysis of the relevant stimuli in women that is seen in accurate responses over a longer period in comparison with men.
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Knott, Verner, Joelle Choueiry, Heather Dort, Dylan Smith, Danielle Impey, Sara de la Salle, and Tristan Philippe. "Baseline-dependent modulating effects of nicotine on voluntary and involuntary attention measured with brain event-related P3 potentials." Pharmacology Biochemistry and Behavior 122 (July 2014): 107–17. http://dx.doi.org/10.1016/j.pbb.2014.03.020.

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Kok, Albert. "Age-related changes in involuntary and voluntary attention as reflected in components of the event-related potential (ERP)." Biological Psychology 54, no. 1-3 (October 2000): 107–43. http://dx.doi.org/10.1016/s0301-0511(00)00054-5.

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45

Gogel, Walter C., and Thomas J. Sharkey. "Measuring Attention Using Induced Motion." Perception 18, no. 3 (June 1989): 303–20. http://dx.doi.org/10.1068/p180303.

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Attention was measured by means of its effect upon induced motion. Perceived horizontal motion was induced in a vertically moving test spot by the physical horizontal motion of inducing objects. All stimuli were in a frontoparallel plane. The induced motion vectored with the physical motion to produce a clockwise or counterclockwise tilt in the apparent path of motion of the test spot. Either a single inducing object or two inducing objects moving in opposite directions were used. Twelve observers were instructed to attend to or to ignore the single inducing object while fixating the test object and, when the two opposing inducing objects were present, to attend to one inducing object while ignoring the other. Tracking of the test spot was visually monitored. The tilt of the path of apparent motion of the test spot was measured by tactile adjustment of a comparison rod. It was found that the measured tilt was substantially larger when the single inducing object was attended rather than ignored. For the two inducing objects, attending to one while ignoring the other clearly increased the effectiveness of the attended inducing object. The results are analyzed in terms of the distinction between voluntary and involuntary attention. The advantages of measuring attention by its effect on induced motion as compared with the use of a precueing procedure, and a hypothesis regarding the role of attention in modifying perceived spatial characteristics are discussed.
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Wetzel, Nicole, Andreas Widmann, Stefan Berti, and Erich Schröger. "The development of involuntary and voluntary attention from childhood to adulthood: A combined behavioral and event-related potential study." Clinical Neurophysiology 117, no. 10 (October 2006): 2191–203. http://dx.doi.org/10.1016/j.clinph.2006.06.717.

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47

Ahveninen, Jyrki, Samantha Huang, John W. Belliveau, Wei-Tang Chang, and Matti Hämäläinen. "Dynamic Oscillatory Processes Governing Cued Orienting and Allocation of Auditory Attention." Journal of Cognitive Neuroscience 25, no. 11 (November 2013): 1926–43. http://dx.doi.org/10.1162/jocn_a_00452.

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In everyday listening situations, we need to constantly switch between alternative sound sources and engage attention according to cues that match our goals and expectations. The exact neuronal bases of these processes are poorly understood. We investigated oscillatory brain networks controlling auditory attention using cortically constrained fMRI-weighted magnetoencephalography/EEG source estimates. During consecutive trials, participants were instructed to shift attention based on a cue, presented in the ear where a target was likely to follow. To promote audiospatial attention effects, the targets were embedded in streams of dichotically presented standard tones. Occasionally, an unexpected novel sound occurred opposite to the cued ear to trigger involuntary orienting. According to our cortical power correlation analyses, increased frontoparietal/temporal 30–100 Hz gamma activity at 200–1400 msec after cued orienting predicted fast and accurate discrimination of subsequent targets. This sustained correlation effect, possibly reflecting voluntary engagement of attention after the initial cue-driven orienting, spread from the TPJ, anterior insula, and inferior frontal cortices to the right FEFs. Engagement of attention to one ear resulted in a significantly stronger increase of 7.5–15 Hz alpha in the ipsilateral than contralateral parieto-occipital cortices 200–600 msec after the cue onset, possibly reflecting cross-modal modulation of the dorsal visual pathway during audiospatial attention. Comparisons of cortical power patterns also revealed significant increases of sustained right medial frontal cortex theta power, right dorsolateral pFC and anterior insula/inferior frontal cortex beta power, and medial parietal cortex and posterior cingulate cortex gamma activity after cued versus novelty-triggered orienting (600–1400 msec). Our results reveal sustained oscillatory patterns associated with voluntary engagement of auditory spatial attention, with the frontoparietal and temporal gamma increases being best predictors of subsequent behavioral performance.
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48

Jigo, Michael, David J. Heeger, and Marisa Carrasco. "An image-computable model of how endogenous and exogenous attention differentially alter visual perception." Proceedings of the National Academy of Sciences 118, no. 33 (August 13, 2021): e2106436118. http://dx.doi.org/10.1073/pnas.2106436118.

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Attention alters perception across the visual field. Typically, endogenous (voluntary) and exogenous (involuntary) attention similarly improve performance in many visual tasks, but they have differential effects in some tasks. Extant models of visual attention assume that the effects of these two types of attention are identical and consequently do not explain differences between them. Here, we develop a model of spatial resolution and attention that distinguishes between endogenous and exogenous attention. We focus on texture-based segmentation as a model system because it has revealed a clear dissociation between both attention types. For a texture for which performance peaks at parafoveal locations, endogenous attention improves performance across eccentricity, whereas exogenous attention improves performance where the resolution is low (peripheral locations) but impairs it where the resolution is high (foveal locations) for the scale of the texture. Our model emulates sensory encoding to segment figures from their background and predict behavioral performance. To explain attentional effects, endogenous and exogenous attention require separate operating regimes across visual detail (spatial frequency). Our model reproduces behavioral performance across several experiments and simultaneously resolves three unexplained phenomena: 1) the parafoveal advantage in segmentation, 2) the uniform improvements across eccentricity by endogenous attention, and 3) the peripheral improvements and foveal impairments by exogenous attention. Overall, we unveil a computational dissociation between each attention type and provide a generalizable framework for predicting their effects on perception across the visual field.
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49

Scheerer, Nichole E., Elina Birmingham, Troy Q. Boucher, and Grace Iarocci. "Attention capture by trains and faces in children with and without autism spectrum disorder." PLOS ONE 16, no. 6 (June 18, 2021): e0250763. http://dx.doi.org/10.1371/journal.pone.0250763.

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This study examined involuntary capture of attention, overt attention, and stimulus valence and arousal ratings, all factors that can contribute to potential attentional biases to face and train objects in children with and without autism spectrum disorder (ASD). In the visual domain, faces are particularly captivating, and are thought to have a ‘special status’ in the attentional system. Research suggests that similar attentional biases may exist for other objects of expertise (e.g. birds for bird experts), providing support for the role of exposure in attention prioritization. Autistic individuals often have circumscribed interests around certain classes of objects, such as trains, that are related to vehicles and mechanical systems. This research aimed to determine whether this propensity in autistic individuals leads to stronger attention capture by trains, and perhaps weaker attention capture by faces, than what would be expected in non-autistic children. In Experiment 1, autistic children (6–14 years old) and age- and IQ-matched non-autistic children performed a visual search task where they manually indicated whether a target butterfly appeared amongst an array of face, train, and neutral distractors while their eye-movements were tracked. Autistic children were no less susceptible to attention capture by faces than non-autistic children. Overall, for both groups, trains captured attention more strongly than face stimuli and, trains had a larger effect on overt attention to the target stimuli, relative to face distractors. In Experiment 2, a new group of children (autistic and non-autistic) rated train stimuli as more interesting and exciting than the face stimuli, with no differences between groups. These results suggest that: (1) other objects (trains) can capture attention in a similar manner as faces, in both autistic and non-autistic children (2) attention capture is driven partly by voluntary attentional processes related to personal interest or affective responses to the stimuli.
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50

Rozhkov, V. P., E. G. Sergeeva, and S. I. Soroko. "Age Dynamics of Evoked Brain Potentials in Involuntary and Voluntary Attention to a Deviant Stimulus in Schoolchildren from the Northern Region." Neuroscience and Behavioral Physiology 39, no. 9 (October 15, 2009): 851–63. http://dx.doi.org/10.1007/s11055-009-9210-y.

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