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[국내논문] Neural activity during simple visual imagery compared with mental rotation imagery in young adults with smartphone overuse 원문보기

Physical therapy rehabilitation science, v.6 no.4, 2017년, pp.164 - 169  

Hwang, Sujin (Department of Physical Therapy, Division of Health Science, Baekseok University) ,  Lee, Jeong-Weon (Department of Occupational Therapy, Yeoju Institute of Technology) ,  Ahn, Si-Nae (Department of Occupational Therapy, Yeoju Institute of Technology)

Abstract AI-Helper 아이콘AI-Helper

Objective: This research investigated the effects of simple visual imagery and mental rotation imagery on neural activity of adults who are at high risk of smart phone addiction by measuring their electroencephalography (EEG). Design: Cross-sectional study. Methods: Thirty people with a high risk of...

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문제 정의

  • This study investigated the effects of simple visual imagery and mental rotation imagery on neural activities in young adults who are at high risk of smart phone addiction through EEG. Thirty people who were at high risk of smart phone addiction were evaluated using EEG during simple visual imagery and mental rotation imagery.
  • This study measured neural activation patterns during simple visual imagery and mental rotation imagery. Simple visual imagery is a mental image that is similar to visual perception.
  • However, previous studies have not measured brain activation during investigations of differences in simple visual imagery and mental rotation imagery with regard to smartphone overuse [12]. To verify the differences between internal memory and attention following excessive exposure to smartphones, this study compared neural activity during simple visual imagery and mental rotation imagery in young adults who overuse smartphones. This study hypothesized that there would be a significant difference in neural activity during simple visual imagery and mental rotation imagery, and that neural activation during simple visual imagery and mental rotation imagery would be altered in participants who are at high risk of smart phone addiction.

가설 설정

  • To verify the differences between internal memory and attention following excessive exposure to smartphones, this study compared neural activity during simple visual imagery and mental rotation imagery in young adults who overuse smartphones. This study hypothesized that there would be a significant difference in neural activity during simple visual imagery and mental rotation imagery, and that neural activation during simple visual imagery and mental rotation imagery would be altered in participants who are at high risk of smart phone addiction.
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참고문헌 (23)

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  2. Park YM. A study on adults' smartphone addiction and mental health [MA dissertation]. Wonju: Sangji University; 2011. 

  3. Griffiths MD, Kuss DJ, Billieux J, Pontes HM. The evolution of internet addiction: a global perspective. Addict Behav 2016;53:193-5. 

  4. Mok JY, Choi SW, Kim DJ, Choi JS, Lee J, Ahn H, et al. Latent class analysis on internet and smartphone addiction in college students. Neuropsychiatr Dis Treat 2014;10:817-28. 

  5. Roberts JA, Yaya LH, Manolis C. The invisible addiction: cell-phone activities and addiction among male and female college students. J Behav Addict 2014;3:254-65. 

  6. Lee KE, Kim SH, Ha TY, Yoo YM, Han JJ, Jung JH, et al. Dependency on smartphone use and its association with anxiety in Korea. Public Health Rep 2016;131:411-9. 

  7. Yahagi S, Shimura K, Kasai T. An increase in cortical excitability with no change in spinal excitability during motor imagery. Percept Mot Skills 1996;83:288-90. 

  8. Suzuki T, Bunno Y, Onigata C, Tani M, Uragami S. Excitability of spinal neural function by motor imagery with isometric opponens pollicis activity: influence of vision during motor imagery. NeuroRehabilitation 2014;34:725-9. 

  9. Kosslyn SM, Thompson WL, Sukel KE, Alpert NM. Two types of image generation: evidence from PET. Cogn Affect Behav Neurosci 2005;5:41-53. 

  10. Fukumoto Y, Bunno Y, Suzuki T. Effect of motor imagery on excitability of spinal neural function and its impact on the accuracy of movement-considering the point at which subjects subjectively determine the 50%MVC point. J Phys Ther Sci 2016;28:3416-20. 

  11. Sugata H, Hirata M, Yanagisawa T, Matsushita K, Yorifuji S, Yoshimine T. Common neural correlates of real and imagined movements contributing to the performance of brain-machine interfaces. Sci Rep 2016;6:24663. 

  12. Hahn N, Jansen P, Heil M. Preschoolers' mental rotation: sex differences in hemispheric asymmetry. J Cogn Neurosci 2010;22:1244-50. 

  13. Zacks JM. Neuroimaging studies of mental rotation: a meta-analysis and review. J Cogn Neurosci 2008;20:1-19. 

  14. Cona G, Panozzo G, Semenza C. The role of dorsal premotor cortex in mental rotation: a transcranial magnetic stimulation study. Brain Cogn 2017;116:71-8. 

  15. Schendan HE, Stern CE. Mental rotation and object categorization share a common network of prefrontal and dorsal and ventral regions of posterior cortex. Neuroimage 2007;35:1264-77. 

  16. Alivisatos B. The role of the frontal cortex in the use of advance information in a mental rotation paradigm. Neuropsychologia 1992;30:145-59. 

  17. Barnes J, Howard RJ, Senior C, Brammer M, Bullmore ET, Simmons A, et al. Cortical activity during rotational and linear transformations. Neuropsychologia 2000;38:1148-56. 

  18. Harris IM, Egan GF, Sonkkila C, Tochon-Danguy HJ, Paxinos G, Watson JD. Selective right parietal lobe activation during mental rotation: a parametric PET study. Brain 2000;123:65-73. 

  19. Peters M, Lehmann W, Takahira S, Takeuchi Y, Jordan K. Mental rotation test performance in four cross-cultural samples (n3367): overall sex differences and the role of academic program in performance. Cortex 2006;42:1005-14. 

  20. Feredoes EA, Sachdev PS. Differential effects of transcranial magnetic stimulation of left and right posterior parietal cortex on mental rotation tasks. Cortex 2006;42:750-4. 

  21. Williams JD, Rippon G, Stone BM, Annett J. Psychophysiological correlates of dynamic imagery. Br J Psychol 1995;86(Pt 2):283-300. 

  22. Wang Z, Guo X, Lyu Y, Chen H, Tong S. Spatiotemporal differences of brain activation between internal and external strategies in mental rotation: a behavioral and ERD/ERS study. Neurosci Lett 2016;623:1-6. 

  23. Bhattacharya J, Petsche H, Feldmann U, Rescher B. EEG gamma-band phase synchronization between posterior and frontal cortex during mental rotation in humans. Neurosci Lett 2001;311:29-32. 

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