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Journal articles on the topic 'Brain Training'

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1

Robertson, Ian. "Brain training." New Scientist 208, no. 2783 (October 2010): 28–29. http://dx.doi.org/10.1016/s0262-4079(10)62643-7.

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2

Fernandez, Maria. "Brain training." Nursing Standard 20, no. 52 (September 6, 2006): 26–27. http://dx.doi.org/10.7748/ns.20.52.26.s30.

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3

Lewis, Sian. "Brain training." Nature Reviews Neuroscience 22, no. 5 (April 7, 2021): 261. http://dx.doi.org/10.1038/s41583-021-00462-8.

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4

Sinha, Gunjan. "Training the Brain." Scientific American 293, no. 1 (July 2005): 22–23. http://dx.doi.org/10.1038/scientificamerican0705-22.

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5

Carmeli, Oded. "Brain training for troops." New Scientist 231, no. 3083 (July 2016): 20. http://dx.doi.org/10.1016/s0262-4079(16)31322-7.

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6

Makin, Simon. "Brain training: Memory games." Nature 531, no. 7592 (March 2016): S10—S11. http://dx.doi.org/10.1038/531s10a.

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7

&NA;. "Brain training pays off." Nursing 37, no. 3 (March 2007): 35. http://dx.doi.org/10.1097/01.nurse.0000261822.12555.2b.

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8

Lane, A. R., D. T. Smith, A. Ellison, and T. Schenk. "Visual exploration training is no better than attention training for treating hemianopia." Brain 133, no. 6 (April 28, 2010): 1717–28. http://dx.doi.org/10.1093/brain/awq088.

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9

Musso, Mariacristina, Cornelius Weiller, Stefan Kiebel, Stephan P. Müller, Peter Bülau, and Michel Rijntjes. "Training-induced brain plasticity in aphasia." Brain 122, no. 9 (September 1999): 1781–90. http://dx.doi.org/10.1093/brain/122.9.1781.

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10

Vo, LTK, DB Walther, YM Wang, KI Erickson, WR Boot, MW Voss, RS Prakash, and AF Kramer. "Predicting training success from pre-training brain activity." NeuroImage 47 (July 2009): S55. http://dx.doi.org/10.1016/s1053-8119(09)70182-x.

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11

Rodrigues, Ana Carolina, Maurício Alves Loureiro, and Paulo Caramelli. "Musical training, neuroplasticity and cognition." Dementia & Neuropsychologia 4, no. 4 (December 2010): 277–86. http://dx.doi.org/10.1590/s1980-57642010dn40400005.

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Abstract The influence of music on the human brain has been recently investigated in numerous studies. Several investigations have shown that structural and functional cerebral neuroplastic processes emerge as a result of long-term musical training, which in turn may produce cognitive differences between musicians and non-musicians. Musicians can be considered ideal cases for studies on brain adaptation, due to their unique and intensive training experiences. This article presents a review of recent findings showing positive effects of musical training on non-musical cognitive abilities, which probably reflect plastic changes in brains of musicians.
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12

Chan, John S. Y., Yifeng Wang, Jin H. Yan, and Huafu Chen. "Developmental implications of children’s brain networks and learning." Reviews in the Neurosciences 27, no. 7 (October 1, 2016): 713–27. http://dx.doi.org/10.1515/revneuro-2016-0007.

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AbstractThe human brain works as a synergistic system where information exchanges between functional neuronal networks. Rudimentary networks are observed in the brain during infancy. In recent years, the question of how functional networks develop and mature in children has been a hotly discussed topic. In this review, we examined the developmental characteristics of functional networks and the impacts of skill training on children’s brains. We first focused on the general rules of brain network development and on the typical and atypical development of children’s brain networks. After that, we highlighted the essentials of neural plasticity and the effects of learning on brain network development. We also discussed two important theoretical and practical concerns in brain network training. Finally, we concluded by presenting the significance of network training in typically and atypically developed brains.
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13

Hamzelou, Jessica. "Brain training improves acting skills." New Scientist 207, no. 2774 (August 2010): 11. http://dx.doi.org/10.1016/s0262-4079(10)62002-7.

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14

PENTLAND, BRIAN, LYNNE HUTTON, AILSA MACMILLAN, and VICTORIA MAYER. "Training in brain injury rehabilitation." Disability and Rehabilitation 25, no. 10 (January 2003): 544–48. http://dx.doi.org/10.1080/0963828031000090461.

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15

Tang, Yi-Yuan, and Michael I. Posner. "Training brain networks and states." Trends in Cognitive Sciences 18, no. 7 (July 2014): 345–50. http://dx.doi.org/10.1016/j.tics.2014.04.002.

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16

Griffin, John W. "Training for tomorrow's brain sciences." Nature Clinical Practice Neurology 2, no. 12 (December 2006): 637. http://dx.doi.org/10.1038/ncpneuro0358.

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17

van Heugten, Caroline M., Rudolf W. H. M. Ponds, and Roy P. C. Kessels. "Brain training: hype or hope?" Neuropsychological Rehabilitation 26, no. 5-6 (July 8, 2016): 639–44. http://dx.doi.org/10.1080/09602011.2016.1186101.

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18

Moreau, David. "Can brain training boost cognition?" Nature 515, no. 7528 (November 2014): 492. http://dx.doi.org/10.1038/515492c.

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19

Rist, Billymo, and Alan J. Pearce. "Strength Training for the Brain." Strength and Conditioning Journal 38, no. 6 (December 2016): 81–88. http://dx.doi.org/10.1519/ssc.0000000000000267.

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20

Caan, W. "To boldly go "brain training"." BMJ 347, dec16 23 (December 16, 2013): f7441. http://dx.doi.org/10.1136/bmj.f7441.

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21

Simons, Daniel J., Walter R. Boot, Neil Charness, Susan E. Gathercole, Christopher F. Chabris, David Z. Hambrick, and Elizabeth A. L. Stine-Morrow. "Do “Brain-Training” Programs Work?" Psychological Science in the Public Interest 17, no. 3 (October 2016): 103–86. http://dx.doi.org/10.1177/1529100616661983.

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22

Katsnelson, Alla. "No gain from brain training." Nature 464, no. 7292 (April 2010): 1111. http://dx.doi.org/10.1038/4641111a.

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23

Rosenberger, Peter B., and David A. Rottenberg. "Does training change the brain?" Neurology 58, no. 8 (April 23, 2002): 1139–40. http://dx.doi.org/10.1212/wnl.58.8.1139.

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24

Wernig, A., and S. Wernig. "Step training with severely damaged spinal cord." Brain 132, no. 7 (January 13, 2009): e117-e117. http://dx.doi.org/10.1093/brain/awn341.

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25

Craig, Debbie I. "Applying Brain-Based Learning Principles to Athletic Training Education." Athletic Training Education Journal 2, no. 1 (January 1, 2007): 16–20. http://dx.doi.org/10.4085/1947-380x-2.1.16.

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Objective: To present different concepts and techniques related to the application of brain-based learning principles to Athletic Training clinical education. Background: The body of knowledge concerning how our brains physically learn continues to grow. Brain-based learning principles, developed by numerous authors, offer advice on how to facilitate learning in students. Implementing these principles into clinical instruction lessons, whatever the instructional strategy being used, may potentially increase the retention of student knowledge and their ability to transfer that knowledge to different contexts. Description: A review of brain-based learning literature was conducted through searches in Medline, ERIC, SPORTDiscus, and DAI. Common themes from the literature are described. Concepts to use when creating lessons and examples of techniques are then presented to aid the athletic training instructor in implementing some of the brain-based learning principles in clinical education. Examples using different athletic training proficiencies are offered. Application: The profession of athletic training lends itself well to many of the brain-based learning principles. Specifically, the clinical education component of athletic training education is full of possibilities for incorporation of these principles. Many techniques are offered to enhance the athletic training instructor's ability to facilitate student learning through thoughtful incorporation of brain-based learning principles.
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26

Chung, King. "Musical and Brain Training. How previous and current trainings enhance cognition." Hearing Journal 70, no. 10 (October 2017): 8. http://dx.doi.org/10.1097/01.hj.0000526529.99704.64.

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27

Morgen, K. "Training-dependent plasticity in patients with multiple sclerosis." Brain 127, no. 11 (August 19, 2004): 2506–17. http://dx.doi.org/10.1093/brain/awh266.

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28

Phelps, P. E., A. Ramon-Cueto, R. R. Roy, and V. R. Edgerton. "Reply: Step training with severely damaged spinal cord." Brain 132, no. 7 (January 13, 2009): e118-e118. http://dx.doi.org/10.1093/brain/awn342.

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29

Tebaldi, F., A. Martini, F. Tonello, and A. Cantagallo. "Metacognitive training after traumatic brain injury." Annals of Physical and Rehabilitation Medicine 57 (May 2014): e73. http://dx.doi.org/10.1016/j.rehab.2014.03.264.

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30

Wijdicks, Eelco, and Sara Hocker. "Simulation Training in Brain Death Determination." Seminars in Neurology 35, no. 02 (April 3, 2015): 180–88. http://dx.doi.org/10.1055/s-0035-1547535.

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31

Fiatarone Singh, M. "Exercise Comes of Age: Brain Training." Journal of Science and Medicine in Sport 22 (October 2019): S68—S69. http://dx.doi.org/10.1016/j.jsams.2019.08.277.

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32

Fitzgerald, Susan. "Is Successful Brain Training Fake News?" Neurology Today 17, no. 7 (April 2017): 8. http://dx.doi.org/10.1097/01.nt.0000516006.46242.f6.

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33

Sweetow, Robert W. "Training the adult brain to listen." Hearing Journal 58, no. 6 (June 2005): 10–16. http://dx.doi.org/10.1097/01.hj.0000324238.75342.25.

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34

Owen, Adrian M., Adam Hampshire, Jessica A. Grahn, Robert Stenton, Said Dajani, Alistair S. Burns, Robert J. Howard, and Clive G. Ballard. "Putting brain training to the test." Nature 465, no. 7299 (April 20, 2010): 775–78. http://dx.doi.org/10.1038/nature09042.

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35

Duncan, John, and Daniel J. Mitchell. "Training refines brain representations for multitasking." Proceedings of the National Academy of Sciences 112, no. 46 (October 29, 2015): 14127–28. http://dx.doi.org/10.1073/pnas.1518636112.

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36

Hyde, K. L., J. Lerch, A. Norton, M. Forgeard, E. Winner, A. C. Evans, and G. Schlaug. "Musical Training Shapes Structural Brain Development." Journal of Neuroscience 29, no. 10 (March 11, 2009): 3019–25. http://dx.doi.org/10.1523/jneurosci.5118-08.2009.

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37

Wolman, Roger L., Catherine Cornall, Kathy Fulcher, and Richard Greenwood. "Aerobic training in brain-injured patients." Clinical Rehabilitation 8, no. 3 (August 1994): 253–57. http://dx.doi.org/10.1177/026921559400800311.

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38

Dunn, Jeff F., Ying Wu, Zonghang Zhao, Sathya Srinivasan, and Sirajedin S. Natah. "Training the Brain to Survive Stroke." PLoS ONE 7, no. 9 (September 13, 2012): e45108. http://dx.doi.org/10.1371/journal.pone.0045108.

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39

Whitmore, Paul G. "Behavioral, cognitive, or brain-based training?" Performance Improvement 43, no. 4 (April 2004): 9–14. http://dx.doi.org/10.1002/pfi.4140430405.

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40

Davidson, Richard. "Meditation and Neuroplasticity: Training Your Brain." EXPLORE 1, no. 5 (September 2005): 380–88. http://dx.doi.org/10.1016/j.explore.2005.06.013.

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41

Myer, Gregory D., Adam M. Kushner, Avery D. Faigenbaum, Adam Kiefer, Susmita Kashikar-Zuck, and Joseph F. Clark. "Training the Developing Brain, Part I." Current Sports Medicine Reports 12, no. 5 (2013): 304–10. http://dx.doi.org/10.1097/01.csmr.0000434106.12813.69.

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42

Kushner, Adam M., Adam W. Kiefer, Samantha Lesnick, Avery D. Faigenbaum, Susmita Kashikar-Zuck, and Gregory D. Myer. "Training the Developing Brain Part II." Current Sports Medicine Reports 14, no. 3 (2015): 235–43. http://dx.doi.org/10.1249/jsr.0000000000000150.

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43

Muelly, Michael C., and Lily Peng. "Spotting brain bleeding after sparse training." Nature Biomedical Engineering 3, no. 3 (March 2019): 161–62. http://dx.doi.org/10.1038/s41551-019-0368-5.

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44

Nouchi, Rui. "Brain Training Game Improved Cognitive Health." International Journal of Psychophysiology 168 (October 2021): S34. http://dx.doi.org/10.1016/j.ijpsycho.2021.07.102.

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45

Halpern, Lisa. "Personal Accounts: Brain Training: An Athletic Model for Brain Rehabilitation." Psychiatric Services 57, no. 4 (April 2006): 459–60. http://dx.doi.org/10.1176/ps.2006.57.4.459.

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46

Valenzuela, Michael. "NEXT GENERATION BRAIN TRAINING IN THE MAINTAIN YOUR BRAIN TRIAL." Alzheimer's & Dementia 13, no. 7 (July 2017): P1216—P1217. http://dx.doi.org/10.1016/j.jalz.2017.07.391.

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47

DeGutis, Joseph, Sarah Cohan, and Ken Nakayama. "Holistic face training enhances face processing in developmental prosopagnosia." Brain 137, no. 6 (March 29, 2014): 1781–98. http://dx.doi.org/10.1093/brain/awu062.

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48

Studer, Bettina, Alicja Timm, Barbara J. Sahakian, Tobias Kalenscher, and Stefan Knecht. "A decision-neuroscientific intervention to improve cognitive recovery after stroke." Brain 144, no. 6 (March 20, 2021): 1764–73. http://dx.doi.org/10.1093/brain/awab128.

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Abstract Functional recovery after stroke is dose-dependent on the amount of rehabilitative training. However, rehabilitative training is subject to motivational hurdles. Decision neuroscience formalizes drivers and dampers of behaviour and provides strategies for tipping motivational trade-offs and behaviour change. Here, we used one such strategy, upfront voluntary choice restriction (‘precommitment’), and tested if it can increase the amount of self-directed rehabilitative training in severely impaired stroke patients. In this randomized controlled study, stroke patients with working memory deficits (n = 83) were prescribed daily self-directed gamified cognitive training as an add-on to standard therapy during post-acute inpatient neurorehabilitation. Patients allocated to the precommitment intervention could choose to restrict competing options to self-directed training, specifically the possibility to meet visitors. This upfront choice restriction was opted for by all patients in the intervention group and highly effective. Patients in the precommitment group performed the prescribed self-directed gamified cognitive training twice as often as control group patients who were not offered precommitment [on 50% versus 21% of days, Pcorr = 0.004, d = 0.87, 95% confidence interval (CI95%) = 0.31 to 1.42], and, as a consequence, reached a 3-fold higher total training dose (90.21 versus 33.60 min, Pcorr = 0.004, d = 0.83, CI95% = 0.27 to 1.38). Moreover, add-on self-directed cognitive training was associated with stronger improvements in visuospatial and verbal working memory performance (Pcorr = 0.002, d = 0.72 and Pcorr = 0.036, d = 0.62). Our neuroscientific decision add-on intervention strongly increased the amount of effective cognitive training performed by severely impaired stroke patients. These results warrant a full clinical trial to link decision-based neuroscientific interventions directly with clinical outcome.
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49

Sun, Jiangzhou, Qunlin Chen, Qinglin Zhang, Yadan Li, Haijiang Li, Dongtao Wei, Wenjing Yang, and Jiang Qiu. "Training your brain to be more creative: brain functional and structural changes induced by divergent thinking training." Human Brain Mapping 37, no. 10 (May 9, 2016): 3375–87. http://dx.doi.org/10.1002/hbm.23246.

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50

Merzenich, Michael. "Plasticity-based training: building the ultimate learning organization." Development and Learning in Organizations: An International Journal 31, no. 6 (November 6, 2017): 4–6. http://dx.doi.org/10.1108/dlo-07-2017-0068.

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Purpose This paper aims to introduce talent development professionals to the most recent breakthroughs in the science of neuroplasticity and how those breakthroughs directly apply to building better brains and a true learning organization. Brain plasticity is the ability of the brain to change chemically, physically, and functionally based on sensory and other inputs. Design/methodology/approach Viewpoint based on literature review and author’s own neuroscientific research over the past 30 years. Findings Gains can be made on standard measures of processing speed, attention, memory, and executive function and those changes generalize to standard measures of mood and affect the real-world activities. Benefits, seen in experiments over the past few years for peak sports performance, are now being applied in the workplace Practical implications It is hard to think of any job, where a faster and more accurate brain would not help. Originality/value Many learning and development professionals are not yet aware of the health and performance benefits of plasticity-based training. This paper provides summarized evidence of its efficacy for individuals and organizations.
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