Attentional control

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A person concentrating on their work
A person paying close visual attention to their use of a bottle opener, ignoring the other people around them Task Focus (cropped).jpg
A person paying close visual attention to their use of a bottle opener, ignoring the other people around them

Attentional control, colloquially referred to as concentration, refers to an individual's capacity to choose what they pay attention to and what they ignore. [1] It is also known as endogenous attention or executive attention. In lay terms, attentional control can be described as an individual's ability to concentrate. Primarily mediated by the frontal areas of the brain including the anterior cingulate cortex, attentional control is thought to be closely related to other executive functions such as working memory. [2] [3]

Contents

General overview of research

Sources of attention in the brain create a system of three networks: alertness (maintaining awareness), orientation (information from sensory input), and executive control (resolving conflict). [2] These three networks have been studied using experimental designs involving adults, children, and monkeys, with and without abnormalities of attention. [4] Research designs include the Stroop task [5] and flanker task, which study executive control with analysis techniques including event-related functional magnetic resonance image (fMRI). While some research designs focus specifically on one aspect of attention (such as executive control), others experiments view several areas, which examine interactions between the alerting, orienting, and executive control networks. [4] More recently, the Attention Network Test (ANT), designed by Fan and Posner, has been used to obtain efficiency measures of the three networks, and allow their relationships to be examined. It was designed as a behavioural task simple enough to obtain data from children, patients, and animals. [6] The task requires participants to quickly respond to cues given on a computer screen, while having their attention fixated on a center target. [7]

Development

Infancy

Early researchers studying the development of the frontal cortex thought that it was functionally silent during the first year of life. [8] Similarly, early research suggested that infants aged one year or younger are completely passive in the allocation of their attention, and have no capacity to choose what they pay attention to and what they ignore. [9] This is shown, for example, in the phenomenon of 'sticky fixation', whereby infants are incapable of disengaging their attention from a particularly salient target. [10] Other research has suggested, however, that even very young infants do have some capacity to exercise control over their allocation of attention, albeit in a much more limited sense. [11] [12]

Childhood

As the frontal lobes mature, [13] children's capacity to exercise attentional control increases, [1] although attentional control abilities remain much poorer in children than they do in adults. [14] Some children show impaired development of attentional control abilities, thought to arise from the relatively slower development of frontal areas of the brain, [15] which sometimes results in a diagnosis of Attention Deficit Hyperactivity Disorder (ADHD).

Elderly

Some studies of aging and cognition focus on working memory processes and declines in attentional control. One study used fMRI measures during a Stroop task comparing neural activity of attentional control in younger (21–27 years) and older participants (60–75 years). Conditions included increased competition and increased conflict. Results showed evidence of decreases in responsiveness in brain areas associated with attentional control for the older group. This result suggests that older people may have decreases in their ability to utilize attentional control in their everyday lives. [16] [17]

A major contributor to age-related decreased attentional control includes the weight of the brain. Several studies conclude that the brain experiences rapid weight loss after the age of 60. This loss of brain weight results from a decrease in cerebral white matter and gray matter. [18] White matter is the area in the brain responsible for exchanging information between gray matter areas. [19] Gray matter tissue in the central nervous system enables individuals to interact with the world and carry out highly skilled functions. Studies reveal that individuals who engage in physical activity increase the cortical volume of gray matter later in life, preventing age-related atrophy and promoting attentional control. [20] However, because most individuals' brains undergo pathological changes after the age of 80 or develop cardiac disease, neuron loss occurs and the brain volume decreases. [18]

Abnormal development

Disrupted attentional control has been noted not just in the early development of conditions for which the core deficit is related to attention such as ADHD, [21] but also in conditions such as autism [22] and anxiety. [23] Disrupted attentional control has also been reported in infants born preterm, [24] as well as in infants with genetic disorders such as Down syndrome and Williams syndrome. [25] Several groups have also reported impaired attentional control early in development in children from lower socioeconomic status families. [26]

The patterns of disrupted attentional control relate to findings of disrupted performance on executive functions tasks such as working memory across a wide number of different disorder groups. [1] The question of why the executive functions appear to be disrupted across so many different disorder groups remains, however, poorly understood.

Relevance to mental illness

Studies have shown that there is a high probability that those with low attentional control also experience other mental conditions. Low attentional control is more common among those with attention deficit hyperactivity disorder (ADHD), "a disorder with persistent age-inappropriate symptoms of inattention, hyperactivity, and impulsivity that are sufficient to cause impairment in major life activities". [27] Low attentional control is also common in individuals with schizophrenia and [28] Alzheimer's disease, [29] those with social anxiety, trait anxiety, and depression, [30] and attention difficulties following a stroke. [28] Individuals respond quicker and have stronger overall executive control when they have low levels of anxiety and depression. [31] Weak attentional control is also thought to increase chances of developing a psychopathological condition, as these individuals have disrupted threat processing and magnified emotional responses to threat. [32] More researchers are accounting for attentional control in studies that might not necessarily focus on attention by having participants fill out an Attentional Control Scale (ACS) [30] or a Cognitive Attentional Syndrome-1 (CAS1), [32] both of which are self-reporting questionnaires that measure attentional focus and shifting. [30] Researchers suggest that people should use experimental and longitudinal designs to address the relationship between ACS, emotional functioning, CAS, and attention to threat. This is due to the increasing problematic occurrences experts are seeing in the field regarding attentional control in relation to other mental illnesses. [28]

Attention problems are also characteristic of anxiety disorders like PTSD (Post-Traumatic Stress Disorder). A recent review revealed that 61.2% of current studies found that participants who experienced PTSD suffered from significant attentional control problems. [33] These problems caused by PTSD can lead to the development of an attentional bias, which causes a person to process emotionally negative information preferentially over emotionally positive information. [34] Patients who suffer from PTSD commonly struggle to concentrate on certain tasks for longer periods of time, allowing intrusive thoughts to override their current focus. [35] This interference can be caused by many different factors, but it is most commonly triggered by emotional cues, particularly the emotion of fear. Attention is considered a gateway function to advanced cognitive processes such as memory and learning, and attentional interference can cause such cognitive processes to decrease. [33] In recent years, attentional control therapies have been used to improve attentional control in patients who suffer from PTSD. More recently, yoga and meditation were found to positivity affect attentional control in patients who have experienced PTSD. [36]

Applications

Performance

Attentional control theory focuses on anxiety and cognitive performance. The assumption of this theory is that the effects of anxiety on attentional control are key to understanding the relationship between anxiety and performance. In general, anxiety inhibits attentional control on a specific task by impairing processing efficiency. [37] There are three functions associated with this theory. The inhibition function prevents stimuli unrelated to a task and responses from disrupting performance. The shifting function is used to allocate attention to the stimuli that are most relevant to the task. The updating function is used to update and monitor information in working memory. [37] [38] There are three main hypotheses associated with attentional control theory. First, the efficiency of the central executive is impaired by anxiety. Second, anxiety impairs the inhibition function, and third, anxiety impairs the shifting function. [39] Studies related to attentional control and performance take two differing approaches. Specifically, research on attentional capture has two modes: voluntary and reflexive. The voluntary mode is a top down approach where attention is shifted according to high-level cognitive processes. The reflexive mode is a bottom up approach where attention shifts involuntarily based on a stimulus's attention attracting properties. [40] These modes are important to understanding how attentional control works.

Mindfulness

Even four days of mindfulness meditation training can significantly improve visuo-spatial processing, working memory and executive functioning. [41] [42] However, research has shown mixed results surrounding whether mindfulness effects attentional control directly. Participants did tasks of sustained attention, inhibition, switching, and object detection. These tasks were done before and after an 8-week mindfulness based stress reduction course (MBSR), and were compared to a control group. There were no significant differences between the groups, meaning that the MBSR course did not affect attentional control. [43] However, an active randomized controlled trial showed that a mobile-based mindfulness app with extensive self-assessment features may have long-term benefits for attentional control in healthy participants. [44] Mindfulness influences non-directed attention and other things like emotional well-being. [43]

Learning

Modular approaches view cognitive development as a mosaic-like process, according to which cognitive faculties develop separately according to genetically predetermined maturational timetables. Prominent authors who take a modular approach to cognitive development include Jerry Fodor, Elizabeth Spelke and Steven Pinker. In contrast, other authors such as Annette Karmiloff-Smith, Mark Johnson and Linda Smith have instead advocated taking a more interactive or dynamical systems approaches to cognitive development. According to these approaches, which are known as neuroconstructivist approaches, cognitive systems interact over developmental time as certain cognitive faculties are required for the subsequent acquisition of other faculties in other areas. [45] [ citation needed ]

Amongst authors who take neuroconstructivist approaches to development, particular importance has been attached to attentional control, since it is thought to be a domain-general process that may influence the subsequent acquisition of other skills in other areas. [46] The ability to regulate and direct attention releases the child from the constraints of only responding to environmental events, and means they are able to actively guide their attention towards the information-rich areas key for learning. For example, a number of authors have looked at the relationship between an infant's capacity to exercise attentional control and their subsequent performance during language acquisition. [47] [48] Working memory capacity has been studied to understand how memory functions. The ability to predict the effectiveness of someone's working memory capacity comes from attentional control mechanisms. These mechanisms help with the regulation of goals, behavior, and outside distractions, which are all important for effective learning. [49] [50]

Visual attentional control

Our brains have distinct attention systems that have been shaped throughout time by evolution. Visual attention operates mainly on three different representations: location [51] , [52] feature, and object-based. [53] [54] The spatial separation between two objects has an effect on attention. People can selectively pay attention to one of two objects in the same general location. [55] Research has also been done on attention to non-object based things like motion. When directing attention to a feature like motion, neuronal activity increases in areas specific for the feature. When visually searching for a non-spatial feature or a perceptual feature, selectively enhancing the sensitivity to that specific feature plays a role in directing attention. [56] When people are told to look for motion, then motion will capture their attention, but attention is not captured by motion if they are told to look for color. [40] [57]

Spatial focus of attention

According to fMRI studies of the brain and behavioral observations, visual attention can be moved independently of moving eye position. Studies have had participants fixate their eyes on a central point and measured brain activity as stimuli were presented outside the visual fixation point. fMRI findings show changes in brain activity correlated with the shift in spatial attention to the various stimuli. Behavioral studies have also shown that when a person knows where a stimulus is likely to appear, their attention can shift to it more rapidly and process it better. [58]

Other studies have demonstrated that perceptual and cognitive load affect spatial focusing of attention. These two mechanisms interact oppositely so that when cognitive load is decreased, perceptual load must be high to increase spatial attention focusing. [59]

Auditory alertness

The cocktail party effect is the phenomenon that a person hears his or her name even when not attending to the conversation. To study this, a screening measure for attentional control was given that tested a person's ability to keep track of words while also doing math problems. Participants were separated into two groups---low and high span attentional control ability groups. They listened to two word lists read simultaneously by a male and a female voice and were told to ignore the male voice. Their name was read by the "ignored" male voice. Low span people were more likely to hear their name compared to high span people. This result suggests that people with lower attentional control ability have more trouble inhibiting information from the surrounding environment. [60]

See also

Related Research Articles

Working memory is a cognitive system with a limited capacity that can hold information temporarily. It is important for reasoning and the guidance of decision-making and behavior. Working memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information. Working memory is a theoretical concept central to cognitive psychology, neuropsychology, and neuroscience.

<span class="mw-page-title-main">Attention</span> Psychological process of selectively perceiving and prioritising discrete aspects of information

Attention is the concentration of awareness on some phenomenon to the exclusion of other stimuli. It is a process of selectively concentrating on a discrete aspect of information, whether considered subjective or objective. William James (1890) wrote that "Attention is the taking possession by the mind, in clear and vivid form, of one out of what seem several simultaneously possible objects or trains of thought. Focalization, concentration, of consciousness are of its essence." Attention has also been described as the allocation of limited cognitive processing resources. Attention is manifested by an attentional bottleneck, in terms of the amount of data the brain can process each second; for example, in human vision, only less than 1% of the visual input data can enter the bottleneck, leading to inattentional blindness.

In psychology, theory of mind refers to the capacity to understand other people by ascribing mental states to them. A theory of mind includes the knowledge that others' beliefs, desires, intentions, emotions, and thoughts may be different from one's own. Possessing a functional theory of mind is crucial for success in everyday human social interactions. People utilise a theory of mind when analyzing, judging, and inferring others' behaviors. The discovery and development of theory of mind primarily came from studies done with animals and infants. Factors including drug and alcohol consumption, language development, cognitive delays, age, and culture can affect a person's capacity to display theory of mind. Having a theory of mind is similar to but not identical with having the capacity for empathy or sympathy.

<span class="mw-page-title-main">Prefrontal cortex</span> Part of the brain responsible for personality, decision-making, and social behavior

In mammalian brain anatomy, the prefrontal cortex (PFC) covers the front part of the frontal lobe of the cerebral cortex. It is the association cortex in the frontal lobe. The PFC contains the Brodmann areas BA8, BA9, BA10, BA11, BA12, BA13, BA14, BA24, BA25, BA32, BA44, BA45, BA46, and BA47.

Affective neuroscience is the study of how the brain processes emotions. This field combines neuroscience with the psychological study of personality, emotion, and mood. The basis of emotions and what emotions are remains an issue of debate within the field of affective neuroscience.

<span class="mw-page-title-main">Executive functions</span> Cognitive processes necessary for control of behavior

In cognitive science and neuropsychology, executive functions are a set of cognitive processes that are necessary for the cognitive control of behavior: selecting and successfully monitoring behaviors that facilitate the attainment of chosen goals. Executive functions include basic cognitive processes such as attentional control, cognitive inhibition, inhibitory control, working memory, and cognitive flexibility. Higher-order executive functions require the simultaneous use of multiple basic executive functions and include planning and fluid intelligence.

<span class="mw-page-title-main">Adele Diamond</span> Neuroscientist

Adele Dorothy Diamond is a professor of neuroscience at the University of British Columbia, where she is currently a Tier 1 Canada Research Chair in Developmental Cognitive Neuroscience. One of the pioneers in the field of developmental cognitive neuroscience, Diamond researches how executive functions are affected by biological and environmental factors, especially in children. Her discoveries have improved treatment for disorders such as phenylketonuria and attention-deficit hyperactivity disorder, and they have impacted early education.

Developmental cognitive neuroscience is an interdisciplinary scientific field devoted to understanding psychological processes and their neurological bases in the developing organism. It examines how the mind changes as children grow up, interrelations between that and how the brain is changing, and environmental and biological influences on the developing mind and brain.

Mind-wandering is loosely defined as thoughts that are not produced from the current task. Mind-wandering consists of thoughts that are task-unrelated and stimulus-independent. This can be in the form of three different subtypes: positive constructive daydreaming, guilty fear of failure, and poor attentional control.

<span class="mw-page-title-main">Effects of meditation</span> Surveys & evaluates various meditative practices & evidence of neurophysiological benefits

The psychological and physiological effects of meditation have been studied. In recent years, studies of meditation have increasingly involved the use of modern instruments, such as fMRI and EEG, which are able to observe brain physiology and neural activity in living subjects, either during the act of meditation itself or before and after meditation. Correlations can thus be established between meditative practices and brain structure or function.

Exposure therapy is a technique in behavior therapy to treat anxiety disorders.

<span class="mw-page-title-main">Impulsivity</span> Tendency to act on a whim without considering consequences

In psychology, impulsivity is a tendency to act on a whim, displaying behavior characterized by little or no forethought, reflection, or consideration of the consequences. Impulsive actions are typically "poorly conceived, prematurely expressed, unduly risky, or inappropriate to the situation that often result in undesirable consequences," which imperil long-term goals and strategies for success. Impulsivity can be classified as a multifactorial construct. A functional variety of impulsivity has also been suggested, which involves action without much forethought in appropriate situations that can and does result in desirable consequences. "When such actions have positive outcomes, they tend not to be seen as signs of impulsivity, but as indicators of boldness, quickness, spontaneity, courageousness, or unconventionality." Thus, the construct of impulsivity includes at least two independent components: first, acting without an appropriate amount of deliberation, which may or may not be functional; and second, choosing short-term gains over long-term ones.

Memory and trauma is the deleterious effects that physical or psychological trauma has on memory.

Emotional self-regulation or emotion regulation is the ability to respond to the ongoing demands of experience with the range of emotions in a manner that is socially tolerable and sufficiently flexible to permit spontaneous reactions as well as the ability to delay spontaneous reactions as needed. It can also be defined as extrinsic and intrinsic processes responsible for monitoring, evaluating, and modifying emotional reactions. Emotional self-regulation belongs to the broader set of emotion regulation processes, which includes both the regulation of one's own feelings and the regulation of other people's feelings.

In psychology and neuroscience, executive dysfunction, or executive function deficit, is a disruption to the efficacy of the executive functions, which is a group of cognitive processes that regulate, control, and manage other cognitive processes. Executive dysfunction can refer to both neurocognitive deficits and behavioural symptoms. It is implicated in numerous psychopathologies and mental disorders, as well as short-term and long-term changes in non-clinical executive control. Executive dysfunction is the mechanism underlying ADHD Paralysis, and in a broader context, it can encompass other cognitive difficulties like planning, organizing, initiating tasks and regulating emotions. It is a core characteristic of ADHD and can elucidate numerous other recognized symptoms.

Working memory training is intended to improve a person's working memory. Working memory is a central intellectual faculty, linked to IQ, ageing, and mental health. It has been claimed that working memory training programs are effective means, both for treating specific medical conditions associated with working memory deficit, as and for general increase in cognitive capacity among healthy neurotypical adults.

Cognitive flexibility is an intrinsic property of a cognitive system often associated with the mental ability to adjust its activity and content, switch between different task rules and corresponding behavioral responses, maintain multiple concepts simultaneously and shift internal attention between them. The term cognitive flexibility is traditionally used to refer to one of the executive functions. In this sense, it can be seen as neural underpinnings of adaptive and flexible behavior. Most flexibility tests were developed under this assumption several decades ago. Nowadays, cognitive flexibility can also be referred to as a set of properties of the brain that facilitate flexible yet relevant switching between functional brain states.

<span class="mw-page-title-main">Effects of stress on memory</span> Overview of the effects of stress on memory

The effects of stress on memory include interference with a person's capacity to encode memory and the ability to retrieve information. Stimuli, like stress, improved memory when it was related to learning the subject. During times of stress, the body reacts by secreting stress hormones into the bloodstream. Stress can cause acute and chronic changes in certain brain areas which can cause long-term damage. Over-secretion of stress hormones most frequently impairs long-term delayed recall memory, but can enhance short-term, immediate recall memory. This enhancement is particularly relative in emotional memory. In particular, the hippocampus, prefrontal cortex and the amygdala are affected. One class of stress hormone responsible for negatively affecting long-term, delayed recall memory is the glucocorticoids (GCs), the most notable of which is cortisol. Glucocorticoids facilitate and impair the actions of stress in the brain memory process. Cortisol is a known biomarker for stress. Under normal circumstances, the hippocampus regulates the production of cortisol through negative feedback because it has many receptors that are sensitive to these stress hormones. However, an excess of cortisol can impair the ability of the hippocampus to both encode and recall memories. These stress hormones are also hindering the hippocampus from receiving enough energy by diverting glucose levels to surrounding muscles.

<span class="mw-page-title-main">Mechanisms of mindfulness meditation</span>

Mindfulness has been defined in modern psychological terms as "paying attention to relevant aspects of experience in a nonjudgmental manner", and maintaining attention on present moment experience with an attitude of openness and acceptance. Meditation is a platform used to achieve mindfulness. Both practices, mindfulness and meditation, have been "directly inspired from the Buddhist tradition" and have been widely promoted by Jon Kabat-Zinn. Mindfulness meditation has been shown to have a positive impact on several psychiatric problems such as depression and therefore has formed the basis of mindfulness programs such as mindfulness-based cognitive therapy, mindfulness-based stress reduction and mindfulness-based pain management. The applications of mindfulness meditation are well established, however the mechanisms that underlie this practice are yet to be fully understood. Many tests and studies on soldiers with PTSD have shown tremendous positive results in decreasing stress levels and being able to cope with problems of the past, paving the way for more tests and studies to normalize and accept mindful based meditation and research, not only for soldiers with PTSD, but numerous mental inabilities or disabilities.

Metacognitive therapy (MCT) is a psychotherapy focused on modifying metacognitive beliefs that perpetuate states of worry, rumination and attention fixation. It was created by Adrian Wells based on an information processing model by Wells and Gerald Matthews. It is supported by scientific evidence from a large number of studies.

References

  1. 1 2 3 Astle, D. E.; Scerif, G. (2009). "Using Developmental Cognitive Neuroscience to Study Behavioral and Attentional Control". Developmental Psychobiology. 51 (2): 107–118. doi:10.1002/dev.20350. PMID   18973175.
  2. 1 2 Posner, M. I.; Petersen, S. E. (1990). "The attention system of the human brain". Annual Review of Neuroscience. 13: 25–42. doi:10.1146/annurev.ne.13.030190.000325. PMID   2183676. S2CID   2995749.
  3. Astle, D. E.; Scerif, G. (2011). "Interactions between attention and visual short-term memory (VSTM): What can be learnt from individual and developmental differences?". Neuropsychologia. 49 (6): 1435–1445. doi:10.1016/j.neuropsychologia.2010.12.001. PMID   21185321. S2CID   5429116.
  4. 1 2 Fan, Jan; et al. (2002). "Testing the Efficiency and Interdependence of Attenional Networks". Journal of Cognitive Neuroscience. 14 (3): 340–347. doi:10.1162/089892902317361886. PMID   11970796. S2CID   12681459.
  5. Markman, Art (11 September 2012). "Disgust, Morality, and Attention". Ulterior Motives. Retrieved 21 October 2012.
  6. Fan, J.; McCandliss, B.; Sommer, T.; Raz, A.; Posner, M. (2002). "Testing the efficiency and independence of attentional networks". Journal of Cognitive Neuroscience. 14 (3): 340–347. doi:10.1162/089892902317361886. PMID   11970796. S2CID   12681459.
  7. Adólfsdóttir, Steinunn; et al. (2008). "The Attention Network Test: A Characteristic Pattern of Deficits in Children with ADHD". Behavioral and Brain Functions. 4 (1): 9. doi: 10.1186/1744-9081-4-9 . PMC   2265730 . PMID   18269768.
  8. Bell, M. A.; Wolfe, C. D. (2007). "Changes in brain functioning from infancy to early childhood: Evidence from EEG power and coherence during working memory tasks". Developmental Neuropsychology. 31 (1): 21–38. doi:10.1207/s15326942dn3101_2. PMID   17305436.
  9. Colombo, J (2001). "The development of visual attention in infancy". Annual Review of Psychology. 52: 337–367. doi:10.1146/annurev.psych.52.1.337. hdl: 1808/94 . PMID   11148309.
  10. Hood, B. M.; Atkinson, J. (1993). "Disengaging visual attention in the infant and adult". Infant Behavior & Development. 16 (4): 405–422. doi:10.1016/0163-6383(93)80001-o.
  11. Johnson, M. H. (1995). "The inhibition of automatic saccades in early infancy". Developmental Psychobiology. 28 (5): 281–291. doi:10.1002/dev.420280504. PMID   7672460.
  12. Colombo, J.; Cheatham, C. L. (2006). "The emergence and basis of endogenous attention in infancy and early childhood". Advances in Child Development and Behavior. 34: 283–322. doi:10.1016/s0065-2407(06)80010-8. ISBN   9780120097340. PMID   17120808.
  13. Gogtay, N.; Giedd, J. N.; Lusk, L.; Hayashi, K. M.; Greenstein, D.; Vaituzis, A. C.; Nugent Iii, T. F.; Herman, D. H.; Clasen, L. S.; et al. (2004). "Dynamic mapping of human cortical development during childhood through early adulthood". Proceedings of the National Academy of Sciences of the United States of America. 101 (21): 8174–8179. doi: 10.1073/pnas.0402680101 . PMC   419576 . PMID   15148381.
  14. Davidson, M. C.; Amso, D.; Cruess Anderson, L.; Diamond, A. (2006). "Development of cognitive control and executive functions from 4 to 13 years: Evidence from manipulations of memory, inhibition, and task switching". Neuropsychologia. 44 (11): 2037–2078. doi:10.1016/j.neuropsychologia.2006.02.006. PMC   1513793 . PMID   16580701.
  15. Shaw, P. Lerch; Greenstein, D.; Sharp, W.; Clasen, L.; Evans, A.; Giedd, J.; Xavier Castellanos, F.; Rapoport, J. (2006). "Longitudinal Mapping of Cortical Thickness and Clinical Outcome in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder". Archives of General Psychiatry. 63 (5): 540–549. doi: 10.1001/archpsyc.63.5.540 . PMID   16651511.
  16. Milham, M.; Erickson, K.; Banich, M.; Kramer, A.; Webb, A.; Wszalek, T.; Cohen, N. (2002). "Attentional control in the aging brain: Insights from an fMRI study of the stroop task". Brain Cogn. 49 (3): 277–296. doi:10.1006/brcg.2001.1501. PMID   12139955. S2CID   2283825.
  17. Banich, M. (2009). "Executive function: The search for an integrated account". Current Directions in Psychological Science. 18: 89–94. doi:10.1111/j.1467-8721.2009.01615.x. S2CID   15935419.
  18. 1 2 Colloca, Giuseppe; Santoro, Michaela; Gambassi, Giovanni (2010-09-01). "Age-related physiologic changes and perioperative management of elderly patients". Surgical Oncology. Perioperative Management of Pain in Elderly Cancer Patients. 19 (3): 124–130. doi:10.1016/j.suronc.2009.11.011. ISSN   0960-7404. PMID   20004566.
  19. Zhao, J.; Ding, X.; Du, Y.; Wang, X.; Men, G. (October 2019). "Mikkelsen Library | Augustana University". Brain and Behavior. 9 (10): e01407. doi:10.1002/brb3.1407. PMC   6790327 . PMID   31512413. ProQuest   2304682979 . Retrieved 2023-10-18.
  20. Erickson, Kirk I.; Leckie, Regina L.; Weinstein, Andrea M. (2014-09-01). "Physical activity, fitness, and gray matter volume". Neurobiology of Aging. International Conference on Nutrition and the Brain. 35: S20–S28. doi: 10.1016/j.neurobiolaging.2014.03.034 . ISSN   0197-4580. PMC   4094356 . PMID   24952993.
  21. Sonuga-Barke, E. J. S.; Koerting, J.; Smith, E.; McCann, D. C.; Thompson, M. (2011). "Early detection and intervention for attention-deficit/hyperactivity disorder". Expert Review of Neurotherapeutics. 11 (4): 557–563. doi:10.1586/ern.11.39. hdl: 1854/LU-2084124 . PMID   21469928. S2CID   207221148.
  22. Elsabbagh, M.; Volein, A.; Holmboe, K.; Tucker, L.; Csibra, G.; Baron-Cohen, S.; Bolton, P.; Charman, T.; Baird, G.; et al. (2009). "Visual orienting in the early broader autism phenotype: disengagement and facilitation". Journal of Child Psychology and Psychiatry. 50 (5): 637–642. doi:10.1111/j.1469-7610.2008.02051.x. PMC   3272379 . PMID   19298466.
  23. Rothbart, M. K.; Ellis, L. K.; Rueda, M. R.; Posner, M. I. (2003). "Developing mechanisms of temperamental effortful control". Journal of Personality. 71 (6): 1113–1143. doi:10.1111/1467-6494.7106009. PMID   14633060.
  24. Van, E; de Weijer-Bergsma, E.; Wijnroks, L.; Jongmans, M. J. (2008). "Attention development in infants and preschool children born preterm: A review". Infant Behavior and Development. 31 (3): 333–351. doi:10.1016/j.infbeh.2007.12.003. PMID   18294695.
  25. Cornish, K.; Scerif, G.; Karmiloff-Smith, A. (2007). "Tracing syndrome-specific trajectories of attention across the lifespan". Cortex. 43 (6): 672–685. doi:10.1016/S0010-9452(08)70497-0. PMID   17710820. S2CID   14128174.
  26. Welsh, J. A.; Nix, R. L.; Blair, C.; Bierman, K. L.; Nelson, K. E. (2010). "The Development of Cognitive Skills and Gains in Academic School Readiness for Children From Low-Income Families". Journal of Educational Psychology. 102 (1): 43–53. doi:10.1037/a0016738. PMC   2856933 . PMID   20411025.
  27. Mash, Eric, J. (2013). Abnormal Child Psychology. Wadsworth.
  28. 1 2 3 Durham, N.C. (24 February 2000). "New Study Identifies Brain Centers For Attention Control". ScienceDaily. Retrieved 20 October 2012.
  29. Coubard, Olivier; et al. (May 2011). "Attentional Control in Normal Aging and Alzheimer's Disease". Neuropsychology. 25 (3): 353–367. doi:10.1037/a0022058. PMID   21417533.
  30. 1 2 3 Bowler, Jennifer; Et. at. (10 September 2012). "A Comparison of Cognitive Bias Modification for Interpretation and Computerized Cognitive Behavior Therapy: Effects on Anxiety, Depression, Attentional Control, and Interpretive Bias". Journal of Consulting and Clinical Psychology. 80 (6): 1021–33. doi:10.1037/a0029932. PMC   3516492 . PMID   22963595.
  31. Sarter, Martin; Giovanna Paolone (December 2011). "Deficits in Attentional Control: Cholinergic Mechanisms and Circuitry-Based Treatment Approaches". Behavioral Neuroscience. 125 (6): 825–835. doi:10.1037/a0026227. PMC   3235713 . PMID   22122146.
  32. 1 2 Fergus, Thomas; et al. (August 2012). "Attentional Control Moderates the Relationship between Activation of the Cognitive Attentional Syndrome and Symptoms of Psychopathology". Personality and Individual Differences. 53 (3): 213–217. doi:10.1016/j.paid.2012.03.017.
  33. 1 2 Punski‐Hoogervorst, Janne L.; Engel‐Yeger, Batya; Avital, Avi (20 February 2023). "Attention deficits as a key player in the symptomatology of posttraumatic stress disorder: A review". Journal of Neuroscience Research. 101 (7): 1068–1085. doi: 10.1002/jnr.25177 . ISSN   0360-4012. PMID   36807926. S2CID   257077649.
  34. Schoorl, Maartje; Putman, Peter; Van Der Werff, Steven; Van Der Does, A. J. Willem (2014-03-01). "Attentional bias and attentional control in Posttraumatic Stress Disorder". Journal of Anxiety Disorders. 28 (2): 203–210. doi:10.1016/j.janxdis.2013.10.001. ISSN   0887-6185. PMID   24291395.
  35. Block, Stefanie R.; Liberzon, Israel (2016-10-01). "Attentional processes in posttraumatic stress disorder and the associated changes in neural functioning". Experimental Neurology. Special Issue: New Perspectives in PTSD. 284 (Pt B): 153–167. doi: 10.1016/j.expneurol.2016.05.009 . ISSN   0014-4886. PMID   27178007. S2CID   2937082.
  36. Cramer, Holger; Anheyer, Dennis; Saha, Felix J.; Dobos, Gustav (2018-03-22). "Yoga for posttraumatic stress disorder – a systematic review and meta-analysis". BMC Psychiatry. 18 (1): 72. doi: 10.1186/s12888-018-1650-x . ISSN   1471-244X. PMC   5863799 . PMID   29566652.
  37. 1 2 Eysenck, M.; Kerakshan, N.; Santos, R.; Galvo, M. (2007). "Anxiety and cognitive performance: Attentional control theory". Emotion. 7 (2): 336–353. doi:10.1037/1528-3542.7.2.336. PMID   17516812. S2CID   33462708.
  38. Miyake, A.; Priedman, N.; Emerson, M.; Witzki, A.; Howerter, A. (2000). "The unity and diversity of executive functions and their contributions to complex "frontal lobe" tasks: A latent variable analysis". Cognitive Psychology. 41 (1): 49–100. CiteSeerX   10.1.1.485.1953 . doi:10.1006/cogp.1999.0734. PMID   10945922. S2CID   10096387.
  39. Eysenck, M.; Derakshan, N. (2011). "New perspectives in attentional control theory". Personality and Individual Differences. 50 (7): 955–960. doi:10.1016/j.paid.2010.08.019.
  40. 1 2 Pashler, H.; Jonston, J.; Ruthruff, E. (2001). "Attention and performance". Annu. Rev. Psychol. 52: 629–651. doi:10.1146/annurev.psych.52.1.629. PMID   11148320. S2CID   45005.
  41. Chiesa, A.; Serretti, A. (27 November 2009). "A systematic review of neurobiological and clinical features of mindfulness meditations". Psychological Medicine. 40 (8): 1239–1252. doi:10.1017/S0033291709991747. PMID   19941676. S2CID   5818378.
  42. Zeidan, Fadel; Johnson, Susan K.; Diamond, Bruce J.; David, Zhanna; Goolkasian, Paula (1 June 2010). "Mindfulness meditation improves cognition: Evidence of brief mental training". Consciousness and Cognition. 19 (2): 597–605. doi:10.1016/j.concog.2010.03.014. PMID   20363650. S2CID   17661562.
  43. 1 2 Anderson, N.; Lau, M.; Segal, Z.; Bishop, S. (2007). "Mindfulness-based stress reduction and attentional control". Clinical Psychology and Psychotherapy. 14 (6): 449–463. doi: 10.1002/cpp.544 .
  44. Farb, Norman AS; Saab, Bechara J.; Walsh, Kathleen Marie (2019). "Effects of a Mindfulness Meditation App on Subjective Well-Being: Active Randomized Controlled Trial and Experience Sampling Study". JMIR Mental Health. 6 (1): e10844. doi: 10.2196/10844 . PMC   6329416 . PMID   30622094.
  45. Westermann, Gert; Mareschal, Denis; Johnson, Mark H.; Sirois, Sylvain; Spratling, Michael W.; Thomas, Michael S.C. (2007). "Neuroconstructivism". Developmental Science. 10 (1): 75–83. doi:10.1111/j.1467-7687.2007.00567.x. PMID   17181703.
  46. Scerif, G. (2010). "Attention trajectories, mechanisms and outcomes: at the interface between developing cognition and environment". Developmental Science. 13 (6): 805–812. doi: 10.1111/j.1467-7687.2010.01013.x . PMID   20977552.
  47. Kannass, K. N.; Oakes, L. M. (2008). "The development of attention and its relations to language in infancy and toddlerhood". Journal of Cognition and Development. 9 (2): 222–246. doi:10.1080/15248370802022696. S2CID   144512803.
  48. Rose, S. A.; Feldman, J. F.; Jankowski, J. J. (2009). "A Cognitive Approach to the Development of Early Language". Child Development. 80 (1): 134–150. doi:10.1111/j.1467-8624.2008.01250.x. PMC   2780017 . PMID   19236397.
  49. McVay, J.; Kane, M. (2009). "Conducting the train of thought: Working memory capacity, goal neglect, and mind wandering in an executive-control task". Journal of Experimental Psychology: Learning, Memory, and Cognition. 35 (1): 196–204. doi:10.1037/a0014104. PMC   2750806 . PMID   19210090.
  50. Robinson-Riegler, Bridget (2011). Cognitive psychology: Applying the science of the mind. Boston, MA: Pearson Education Inc. pp. 130–133. ISBN   978-0-205-05006-2.
  51. Siegel M, Donner TH, Oostenveld R, Fries P, Engel AK (Mar 2008). "Neuronal synchronization along the dorsal visual pathway reflects the focus of spatial attention". Neuron . 60 (4): 709–719. doi: 10.1016/j.neuron.2008.09.010 . hdl: 2066/71012 . PMID   19038226. S2CID   19010227.
  52. Gregoriou GG, Gotts SJ, Zhou H, Desimone R (Mar 2009). "High-frequency, long-range coupling between prefrontal and visual cortex during attention". Science . 324 (5931): 1207–1210. Bibcode:2009Sci...324.1207G. doi:10.1126/science.1171402. PMC   2849291 . PMID   19478185.
  53. Baldauf D, Desimone R (Mar 2014). "Neural mechanisms of object-based attention". Science . 344 (6182): 424–427. Bibcode:2014Sci...344..424B. doi: 10.1126/science.1247003 . PMID   24763592. S2CID   34728448.
  54. Mangun, George R. (2012). The Neuroscience of Attention. New York, New York: Oxford University Press, Inc.
  55. Egeth, H.; Yantis, S. (1997). "Visual attention: Control, representation, and time course". Annu. Rev. Psychol. 48: 269–297. doi:10.1146/annurev.psych.48.1.269. PMID   9046562. S2CID   9358323.
  56. Reynolds, J.; Chelazzi, L. (2004). "Attentional modulation of visual processing". Annu. Rev. Neurosci. 27: 611–647. doi:10.1146/annurev.neuro.26.041002.131039. PMID   15217345.
  57. Folk, C.; Remington, R.; Wright, J. (1994). "The structure of attentional control: Contingent attentional capture by apparent motion, abrupt onset, and color". Journal of Experimental Psychology: Learning, Memory, and Cognition. 20 (2): 317–329. doi:10.1037/0096-1523.20.2.317. PMID   8189195.
  58. Bear, Connors, Paradiso, Mark, Barry, Michael (2007). Neuroscience Exploring the Brain. Baltimore, MD: Lippincott Williams & Wilkins. ISBN   9780781760034.
  59. Linnell, Karina J.; Serge Caparos (18 July 2011). "Perceptual and Cognitive Load interact to Control the Spatial Focus of Attention". Journal of Experimental Psychology. 5. 37 (5): 1643–1648. doi:10.1037/a0024669. PMID   21767051.
  60. Conway, A.; Cowan, N.; Bunting, M. (2001). "The cocktail party phenomenon revisited: The importance of WM capacity". Psychonomic Bulletin & Review. 8 (2): 331–335. doi: 10.3758/bf03196169 . PMID   11495122.

Further reading