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How Arts Training Improves Attention and Cognition

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A researcher watches a 4-year-old participate in an attention training program, which includes the exercises shown in the inset.
The children learn to control a cat to keep it out of the rain (upper left), to go to the grass rather than to the mud (upper right)
and to catch a duck that swims in a pond.(Image courtesy of Michael I. Posner)
How Arts Training Improves Attention and Cognition
By Michael I. Posner, Ph.D., and Brenda Patoine
September 14, 2009
Does education in the arts transfer to seemingly unrelated cognitive abilities? Researchers are finding evidence that it does.
Michael Posner argues that when children find an art form that sustains their interest, the subsequent strengthening of their
brains’ attention networks can improve cognition more broadly.
If there were a surefire way to improve your brain, would you try it? Judging by the abundance of products, programs and pills
that claim to offer “cognitive enhancement,” many people are lining up for just such quick brain fixes. Recent research offers a
possibility with much better, science-based support: that focused training in any of the arts—such as music, dance or theater—
strengthens the brain’s attention system, which in turn can improve cognition more generally. Furthermore, this strengthening
likely helps explain the effects of arts training on the brain and cognitive performance that have been reported in several
scientific studies, such as those presented in May 2009 at a neuroeducation summit at Johns Hopkins University (co-sponsored
by the Dana Foundation).
We know that the brain has a system of neural pathways dedicated to attention. We know that training these attention networks
improves general measures of intelligence. And we can be fairly sure that focusing our attention on learning and performing an
art—if we practice frequently and are truly engaged—activates these same attention networks. We therefore would expect
focused training in the arts to improve cognition generally.
Some may construe this argument as a bold associative leap, but it’s grounded in solid science. The linchpin in this equation is
the attention system. Attention plays a crucial role in learning and memory, and its importance in cognitive performance is
undisputed. If you really want to learn something, pay attention! We all know this intuitively, and plenty of strong scientific
data back it up.
The idea that training in the arts improves cognition generally really is not so bold within the context of what we call activity-
dependent plasticity, a basic tenet of brain function. It means that the brain changes in response to what you do. Put another
way, behavior shapes and sculpts brain networks: What you do in your day-to-day life is reflected in the wiring patterns of your
brain and the efficiency of your brain’s networks. Perhaps nowhere is this more evident than in your attention networks.
1
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brain and the efficiency of your brain’s networks. Perhaps nowhere is this more evident than in your attention networks.
1
For most of us, if we find an art that “works” for us—that incites our passion and engages us wholeheartedly—and we stick
with it, we should notice improvements in other cognitive areas in which attention is important, such as learning and memory,
as well as improving cognition in general.
Solid Data Begin to Emerge
If our hypothesis is true, why have scientists been unable to nail down a cause-and-effect relationship between arts education
and cognition—for example, “[X] amount of training in art form [Y] leads to a [Z] percent increase in IQ scores”? Such a
relationship is difficult to confirm scientifically because there are so many variables at work; scientists have only begun to look
at this relationship in a systematic, rigorous fashion.
Early tests of the idea that the arts can boost brainpower focused on the so-called “Mozart effect.” A letter published in 1993 in
the journal Nature held that college students exposed to classical music had improved spatial reasoning skills,
2
which are
important to success in math and science. This observation set off a wave of marketing hype that continues to this day. Despite
numerous efforts, however, scientists have not reliably replicated the phenomenon. Nonetheless, these studies have involved
only brief periods of exposure to music, rather than explicit musical training or practice.
More recent attempts to link arts training with general improvements in cognition have relied on a different approach.
Researchers have focused on longer periods of engaged participation and practice in arts training rather than simple exposure to
music. For example, in 2004, E. Glenn Schellenberg of the University of Toronto at Mississauga published results from a
randomized, controlled study showing that the IQ scores of 72 children who were enrolled in a yearlong music training program
increased significantly compared with 36 children who received no training and 36 children who took drama lessons. (The IQ
scores of children taking drama lessons did not increase, but these children did improve more than the other groups on ratings
of selected social skills.)
3
In a study published in the Journal of Neuroscience in March 2009, researchers Ellen Winner of Boston College, Gottfried
Schlaug of Harvard University and their colleagues at McGill University used neuroimaging scans to examine brain changes in
young children who underwent a four-year-long music training program, compared with a control group of children who did
not receive music training.
4
In the first round of testing, after 15 months, the researchers found structural changes in brain
circuits involved in music processing in the children who received training. They did not find the same changes in the control
group. The scientists also found improvements in musically relevant motor and auditory skills, a phenomenon called near
transfer. In this case, the improvements did not transfer to measures of cognition less related to music—termed far transfer.
We do not know why far transfer to IQ, for example was found in the Schellenberg study and not in this one.
Taken as a whole, the findings to date tell us that music training can indeed change brain circuitry and, in at least some
circumstances, can improve general cognition. But they leave unsettled the question of under what circumstances training in
one cognitive area reliably transfers to improvements in other cognitive skills. From our perspective, the key to transfer is
diligence: Practicing for long periods of time and in an absorbed way can cause changes in more than the specific brain network
related to the skill. Sustained focus can also produce stronger and more efficient attention networks, and these key networks in
turn affect cognitive skills more generally.
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Fig. 1. The practice of various art forms involves different sensory and motor areas in the brain. (Courtesy of M. Posner.)
Practicing a skill, either in the arts or in other areas, builds a rich repertoire of information related to the skill. Scientists
conducting neuroimaging studies of many human tasks have identified networks of widely scattered neural structures that act
together to perform a given skill, which may involve sensory, motor, attentional, emotional and language processes. The arts are
no exception: Specific brain networks underlie specific art forms, as illustrated in Figure 1. As we practice a task, its underlying
network becomes more efficient, and connections among brain areas that perform different aspects of the task become more
tightly integrated.
This process is analogous to an orchestra playing a symphony. The music that results from the integration of orchestral sections
is likely to sound more fluid the hundredth time they play a piece than the first time.
Training Attention Networks
A large body of scientific evidence shows that repeated activation of the brain’s attention networks increases their efficiency.
Neuroimaging studies have also proved that the following specialized neural networks underlie various aspects of attention
1
(see
Figure 2):
the alerting network, which enables the brain to achieve and maintain an alert state;
the orienting network, which keeps the brain attuned to external events in our environment;
the executive attention network, which helps us control our emotions and choose among conflicting thoughts in order to
focus on goals over long periods of time.
I have been particularly interested in the executive attention network. Executive attention skills, especially the abilities to control
emotions and to focus thoughts (sometimes called cognitive control), are critical aspects of social and academic success
throughout childhood. Empathy toward others, the ability to control reward-motivated impulses and even control of the
propensity to cheat or lie have been linked scientifically to aspects of executive attention.
5
Researchers also have shown that
measures of this network’s efficiency are related to school performance.
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Fig. 2. Brain networks that underlie different aspects of attention include the alerting network, the orienting network and the
executive attention network. Arts learning may contribute to improved cognition by improving the efficiency of the executive
attention network. (Courtesy of M. Posner.)
Given the importance of the executive attention network, my colleagues and I wondered what might improve its efficiency. To
find out, we adapted a series of exercises, originally designed to train monkeys for space travel, to investigate the effects of
attention-training exercises in 4- to 6-year-old children. We randomly assigned the children to either a control condition (which
involved watching and responding to interactive videos) or training on joystick-operated computer exercises designed to engage
attention networks through motivation and reward (see the image at top right). After the children who did the computer
exercises participated in five days of training for about 30 minutes per day, we placed noninvasive electrodes on the children’s
scalp to look at their brain activity; we found evidence of increased efficiency in the executive attention network. The
experimental group’s network performance, in contrast to the control group’s, resembled performance in adults. Importantly,
this improvement transferred to higher scores on IQ tests designed for young children.
These data suggest that increasing the efficiency of the executive attention network also improves general cognition as
measured by IQ.
7
M. Rosario Rueda of the University of Granada, Spain, and colleagues subsequently replicated this key
finding in an as yet unpublished study of Spanish children. Rueda found that attention training improved the children’s abilities
to delay reward, and the improvements persisted for at least two months after training.
In recent years, various approaches to training children to pay attention have been carried out in many different settings. The
results show that tasks specifically designed to exercise the underlying networks can indeed improve attention, and that this
kind of training can translate to better general cognition. In one of the strongest studies to support this finding, measures of
cognitive control significantly improved in preschoolers enrolled in a yearlong training program that incorporated different
activities designed to sharpen executive functions.
8
We expect that this training will positively affect the children’s future
academic performance, but this remains to be shown.
For many children, interest in a particular art form leads to sustained attention when practicing that art form. Moreover,
engaging in art often involves resolving conflicts among competing possible responses, such as when choosing the correct note
to play at a given moment. The ability to resolve conflict among competing responses is also a crucial aspect of attention
training. For example, if you are to respond to a target arrow by pressing a key in the direction in which the arrowhead points,
the addition of surrounding arrows pointing in the opposite direction will increase your reaction time and activate parts of the
executive attention network.
8
We expect, therefore, that arts training should exercise the executive attention network and,
therefore, also should improve cognition generally.
One Size Doesn’t Fit All
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It seems unlikely that training in the arts will always improve general cognition, however, since so many factors are at play. No
single art form is interesting to all people, and some people may never warm up to any type of art. Individual differences in
relevant brain networks, which are probably genetically influenced to some degree, help explain this variability in both
appreciation of and ability to create art. For example, one person may have an auditory system that easily discriminates
between tones and a motor system optimized for fine finger control, which may predispose her to playing a musical instrument.
Someone with agility, coordination and a good ability to imitate motions of others, on the other hand, might naturally gravitate
toward dance or sports. These differences may also help explain why people are passionate about one type of art but not others.
The efficacy of arts training also depends on a child’s temperament or personality. For example, openness, which affects
behavior, may be a prerequisite to effective training, and may in part be genetically derived. We have found, for instance, that a
gene that regulates the transmission of the chemical dopamine from one brain cell to another appears to modulate children’s
openness to parental influence. Our studies show that children with one form of this gene (the dopamine-4 receptor gene) show
abnormally high sensation-seeking behavior if their parents show poor parenting skills, but not if their parents show good
parenting skills.
9,10
An increasing body of evidence indicates that the brain’s attention networks are also under some degree of genetic control. For
example, certain genes seem to modulate an individual’s ability to perform attention-related tasks, such as quickly responding
to a warning signal or shifting attention from one external event to another. These genetic influences underscore individual
differences in responses to training, and they may explain contradictory results in scientific studies investigating the links
between arts training and cognition.
Apart from these caveats, exposure to the “right” art form can fully engage children’s attention and can be highly rewarding for
them. They may get so involved in learning the art that they lose track of time or even “lose themselves” while practicing it. I
believe that few other school subjects can produce such strong and sustained attention that is at once rewarding and motivating.
That is why arts training is particularly appealing as a potential means for improving cognition. Other engaging subjects might
be useful as well, but the arts may be unique in that so many children have a strong interest in them.
With advances in neuroscience that are providing important new tools for studying cognition, it is important for researchers to
work with educators to design and carry out studies that build upon the findings that arts training provides near-transfer
effects, and determine whether this training also results in—and causes—far-transfer cognitive benefits. As we have seen, recent
studies have transcended the failed paradigm of simply exposing people to the arts, and now concentrate on the effects of arts
training over months and years. We need more studies like these to determine whether, beyond strong correlation, causation
occurs. Arts training may influence cognition through other brain processes as well. Because arts training strengthens the brain
network related to the art being practiced, other tasks that rely on the same brain circuitry or pieces of it presumably would be
affected. For example, if music training influences the auditory system, we might also expect to see improvement in nonmusical
tasks involving pitch In fact, Brian Wandell and his colleagues at Stanford University recently demonstrated that children who
train in music or the visual arts showed improved phonological awareness, the ability to manipulate speech sounds, which is
strongly tied to reading fluency. Moreover, the more music training they had, the better their reading fluency.
11
In addition, parts of the music network lie adjacent to brain areas involved in processing numbers, which might explain
anecdotal reports of improvements in mathematics after music training. For instance, Elizabeth Spelke of Harvard University
has found that school-age children engaged in intensive music training had improved performance in abstract geometry
tasks.
12
Wandell and his team also reported preliminary data connecting experience in the visual arts with children’s math
calculation abilities.
13
Future studies will need to examine these possibilities in more detail.
Another interesting aspect of the performing arts is that artists often prepare for their work by consciously entering a state of
mind that they believe will elevate their performance, for example, via deep breathing, picturing the moment or other
meditative techniques. Yi-Yuan Tang, a visiting professor at the University of Oregon from Dalian Medical University in China,
recently reported that some forms of meditation can produce changes in the connection between the brain and the
parasympathetic branch of the autonomic nervous system and, after just a few days of training, can lead to improvements in the
same aspects of executive attention that are trained by specifically exercising this network.
14
This “attention state” also
correlates with improved mood and resistance to stress. Our data suggest that meditation may contribute to generalized
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correlates with improved mood and resistance to stress. Our data suggest that meditation may contribute to generalized
cognitive improvements in those who practice it.
The growing body of scientific work that suggests arts training can improve cognitive function—including our view, which
identifies stronger attention networks as the mechanism—opens a new avenue of study for cognitive researchers. The new
research findings also give parents and educators one more reason to encourage young people to find an art form they love and
to pursue it with passion. Continuing research in this area can also help inform ongoing debates about the value of arts
education, which has important policy implications given budgetary pressures to cut arts programs from school curricula.
From our perspective, it is increasingly clear that with enough focused attention, training in the arts likely yields cognitive
benefits that go beyond “art for art’s sake.” Or, to put it another way, the art form that you truly love to learn may also lead to
improvements in other brain functions.
References
1. M. I. Posner and M. K. Rothbart, “Research on Attention Networks as a Model for the Integration of Psychological
Science,” Annual Review of Psychology 58 (2007): 1–23.
2. F. H. Rauscher, G. L. Shaw, and C. N. Ky, “Music and Spatial Task Performance,” Nature 365 (1993): 611.
3. E. G. Schellenberg, “Music Lessons Enhance IQ,” Psychological Science 15 (2004): 511–514.
4. K. L. Hyde, J. Lerch, A. Norton, M. Forgeard, E. Winner, A. C. Evans, and G. Schlaug, “Musical Training Shapes Structural
Brain Development,” Journal of Neuroscience 29 (2009): 3019–3025.
5. M. R. Rueda, M. I. Posner, and M. K. Rothbart, “Attentional Control and Self Regulation” in Handbook of Self Regulation:
Research, Theory, and Applications, ed. R. F. Baumeister and K. D. Vohs, 283–300 (New York: Guilford Press, 2004).
6. P. Checa, R. Rodriguez-Bailon, and M. R. Rueda, “Neurocognitive and Temperamental Systems of Early Self-Regulation
and Early Adolescents’ Social and Academic Outcomes,” Mind Brain and Education 2 (2008): 177–187.
7. M. R. Rueda, M. K. Rothbart, B. D. McCandliss, L. Saccomanno, and M. I. Posner, “Training, Maturation and Genetic
Influences on the Development of Executive Attention,” Proceedings of the National Academy of Sciences 102 (2005): 4931–
4936.
8. J. Fan, J.I. Flombaum, B.D. McCandliss, K.M. Thomas, and M.I. Posner, “Cognitive and Brain Consequences of Conflict,”
Neuro Image 18 (2003): 42–57.
9. A. Diamond, S. Barnett, J. Thomas, and S. Munro, “Preschool Program Improves Cognitive Control,” Science 318 (2007):
1387–1388.
10. B. E. Sheese, M. Pascale, M. Voelker, M. K. Rothbart, and M. I. Posner, “Parenting Quality Interacts with Genetic Variation
in Dopamine Receptor D4 to Influence Temperament in Early Childhood,” Development and Psychopathology 19, no. 4 (2007):
1039–1046.
11. G. A. Bryant and H. C. Barrett, “Recognizing Intentions in Infant-directed Speech: Evidence for Universals,” Psychological
Science 18, no. 8 (2007): 746–751.
12. B. Wandell, R. Dougherty, M. Ben-Shachar, G. Deutsch, and J. Tsang, “Training in the Arts, Reading, and Brain Imaging,”
Learning, Arts, and the Brain: The Dana Consortium Report 51-59.
13. E. Spelke, “Effects of Music Instruction on Developing Cognitive Systems at the Foundations of Math and Science,”
Learning, Arts, and the Brain: The Dana Consortium Report 17-49.
14. Y Tang, Y.Ma, Y Fan, H. Feng, J. Wang, S.Feng, Q.Lu, B. Hu, Y. Lin, J.Li, Y.Zhang, Y.Wang, L Zhou, and M. Fan, “Central
and Autonomic Nervous System Interaction is Altered by Short Term Meditation, Proceedings of the National Academy of
Science 106(2009): 8865–8870.
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Privacy Policy
Science 106(2009): 8865–8870.
About Michael I. Posner, Ph.D.
Michael Posner, Ph.D., is professor emeritus at the University of Oregon and adjunct professor of psychology in psychiatry at
the Weill Medical College of Cornell University. Posner, a Dana grantee, is part of the Dana Arts and Cognition Consortium and
spoke at the “Learning, Arts, and the Brain” summit at Johns Hopkins University, co-sponsored by the Dana Foundation. He
has worked on the anatomy, circuitry, development and genetics of three attentional networks underlying alertness, orienting
and voluntary control of thoughts and ideas.
About Brenda Patoine
Brenda Patoine is a freelance science writer who has been covering neuroscience for nearly 20 years. She writes regularly for
the Dana Foundation (BrainWork; Cerebrum; Advances in Brain Research; Progress Report in Brain Research), as well as for
the Annals of Neurology (NerveCenter news section) and the NCRR Reporter, a publication of the National Institutes of Health.
Elsewhere on the Web, her work appears on AARP.org (Staying Sharp series), and on alzforum.org and alzinfo.org, two
Alzheimer’s Web sites.
Copyright 2009 The Dana Foundation All Rights Reserved danainfo@dana.org
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Five days of integrative body-mind training (IBMT) improves attention and self-regulation in comparison with the same amount of relaxation training. This paper explores the underlying mechanisms of this finding. We measured the physiological and brain changes at rest before, during, and after 5 days of IBMT and relaxation training. During and after training, the IBMT group showed significantly better physiological reactions in heart rate, respiratory amplitude and rate, and skin conductance response (SCR) than the relaxation control. Differences in heart rate variability (HRV) and EEG power suggested greater involvement of the autonomic nervous system (ANS) in the IBMT group during and after training. Imaging data demonstrated stronger subgenual and adjacent ventral anterior cingulate cortex (ACC) activity in the IBMT group. Frontal midline ACC theta was correlated with high-frequency HRV, suggesting control by the ACC over parasympathetic activity. These results indicate that after 5 days of training, the IBMT group shows better regulation of the ANS by a ventral midfrontal brain system than does the relaxation group. This changed state probably reflects training in the coordination of body and mind given in the IBMT but not in the control group. These results could be useful in the design of further specific interventions.
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A neural network underlying attentional control involves the anterior cingulate in addition to lateral prefrontal areas. An important development of this network occurs between 3 and 7 years of age. We have examined the efficiency of attentional networks across age and after 5 days of attention training (experimental group) compared with different types of no training (control groups) in 4-year-old and 6-year-old children. Strong improvement in executive attention and intelligence was found from ages 4 to 6 years. Both 4- and 6-year-olds showed more mature performance after the training than did the control groups. This finding applies to behavioral scores of the executive attention network as measured by the attention network test, event-related potentials recorded from the scalp during attention network test performance, and intelligence test scores. We also documented the role of the temperamental factor of effortful control and the DAT1 gene in individual differences in attention. Overall, our data suggest that the executive attention network appears to develop under strong genetic control, but that it is subject to educational interventions during development. • attentional intervention • child development • dopamine genes • effortful control • network efficiency
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The idea that music makes you smarter has received considerable attention from scholars and the media. The present report is the first to test this hypothesis directly with random assignment of a large sample of children (N = 144) to two different types of music lessons (keyboard or voice) or to control groups that received drama lessons or no lessons. IQ was measured before and after the lessons. Compared with children in the control groups, children in the music groups exhibited greater increases in full-scale IQ. The effect was relatively small, but it generalized across IQ subtests, index scores, and a standardized measure of academic achievement. Unexpectedly, children in the drama group exhibited substantial pre- to post-test improvements in adaptive social behavior that were not evident in the music groups.
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