Short-term internet-search training is associated with increased fractional anisotropy in the superior longitudinal fasciculus in the parietal lobe

Frontiers in Neuroscience

Volumn 11, Issue JUN, 2017, Pages

  Dong, Guangheng ^a   Li, Hui ^a   Potenza, Marc N ^b,c  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

DTI; Internet search using; Spatial working memory; Superior longitudinal fasciculus

Indexed keywords

CONTROL GROUP; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; EXPERIMENTAL MODEL; FRACTIONAL ANISOTROPY; HUMAN; INTERNET; MAJOR CLINICAL STUDY; MYELINATION; PARIETAL LOBE; PRETEST POSTTEST DESIGN; STATISTICS; SUPERIOR LONGITUDINAL FASCICULUS; WORKING MEMORY;

EID: 85021698346     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2017.00372     Document Type: Article

References (44)

1. Amlien, I. K., and Fjell, A. M. (2014). Diffusion tensor imaging of white matter degeneration in Alzheimer's disease and mild cognitive impairment. Neuroscience 276, 206-215. doi: 10.1016/j.neuroscience.2014.02.017
2. Basser, P. J. (1995). Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed. 8, 333-344. doi: 10.1002/nbm.1940080707
3. Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system - a technical review. NMR Biomed. 15, 435-455. doi: 10.1002/nbm.782
4. Bennett, I. J., Madden, D. J., Vaidya, C. J., Howard, D. V., and Howard, J. H. Jr. (2010). Age-related differences in multiple measures of white matter integrity: a diffusion tensor imaging study of healthy aging. Hum. Brain Mapp. 31, 378-390. doi: 10.1002/hbm.20872
5. Boretius, S., Escher, A., Dallenga, T., Wrzos, C., Tammer, R., Bruck, W., et al. (2012). Assessment of lesion pathology in a new animal model of MS by multiparametric MRI and DTI. Neuroimage 59, 2678-2688. doi: 10.1016/j.neuroimage.2011.08.051
6. Bosch, B., Arenaza-Urquijo, E. M., Rami, L., Sala-Llonch, R., Junque, C., Sole-Padulles, C., et al. (2012). Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol. Aging 33, 61-74. doi: 10.1016/j.neurobiolaging.2010.02.004
7. Cui, Z., Zhong, S., Xu, P., He, Y., and Gong, G. (2013). PANDA: a pipeline toolbox for analyzing brain diffusion images. Front. Hum. Neurosci. 7:42. doi: 10.3389/fnhum.2013.00042
8. de Groot, M., Cremers, L. G., Ikram, M. A., Hofman, A., Krestin, G. P., van der Lugt, A., et al. (2015). White matter degeneration with aging: longitudinal diffusion MR imaging analysis. Radiology 279, 532-541. doi: 10.1148/radiol.2015150103
9. Dong, G., and Potenza, M. N. (2015). Behavioral and brain responses related to Internet search using on memory. Eur. J. Neurosci. 42, 2546-2554. doi: 10.1111/ejn.13039
10. Dong, G., and Potenza, M. N. (2016). Short-term internet-search practicing modulates brain activity during recollection. Neuroscience 335, 82-90. doi: 10.1016/j.neuroscience.2016.08.028
11. Engvig, A., Fjell, A. M., Westlye, L. T., Moberget, T., Sundseth, O., Larsen, V. A., et al. (2012). Memory training impacts short-term changes in aging white matter: a longitudinal diffusion tensor imaging study. Hum. Brain Mapp. 33, 2390-2406. doi: 10.1002/hbm.21370
12. Fields, R. D. (2008). White matter in learning, cognition and psychiatric disorders. Trends Neurosci. 31, 361-370. doi: 10.1016/j.tins.2008.04.001
13. Fields, R. D. (2010). Neuroscience. change in the brain's white matter. Science 330, 768-769. doi: 10.1126/science.1199139
14. Fisher, M., Goddu, M. K., and Keil, F. C. (2015). Searching for Explanations: how the internet inflates estimates of internal knowledge. J. Exp. Psychol. Gen. 144, 674-687. doi: 10.1037/xge0000070
15. Hamilton, L. S., Levitt, J. G., O'Neill, J., Alger, J. R., Luders, E., Phillips, O. R., et al. (2008). Reduced white matter integrity in attention-deficit hyperactivity disorder. Neuroreport 19, 1705-1708. doi: 10.1097/WNR.0b013e3283174415
16. Hill, R. A. (2013). Do short-term changes in white matter structure indicate learning-induced myelin plasticity? J. Neurosci. 33, 19393-19395. doi: 10.1523/JNEUROSCI.4122-13.2013
17. Hofstetter, S., Tavor, I., Moryosef, S. T., and Assaf, Y. (2013). Short-term learning induces white matter plasticity in the fornix. J. Neurosci. 33, 12844-12850. doi: 10.1523/JNEUROSCI.4520-12.2013
18. Hu, Y., Geng, F., Tao, L., Hu, N., Du, F., Fu, K., et al. (2011). Enhanced white matter tracts integrity in children with abacus training. Hum. Brain Mapp. 32, 10-21. doi: 10.1002/hbm.20996
19. Itoh, R., Melhem, E. R., and Folkers, P. J. M. (2000). Diffusion-tensor MR imaging of the human brain with gradient- and spin-echo readout: technical note. AJNR Am. J. Neuroradiol. 21, 1591-1595. Available online at: http://www.ajnr.org/content/21/9/1591.full
20. Karlsgodt, K. H., van Erp, T. G., Poldrack, R. A., Bearden, C. E., Nuechterlein, K. H., and Cannon, T. D. (2008). Diffusion tensor imaging of the superior longitudinal fasciculus and working memory in recent-onset schizophrenia. Biol. Psychiatry 63, 512-518. doi: 10.1016/j.biopsych.2007.06.017
21. Keller, T. A., and Just, M. A. (2009). Altering cortical connectivity: remediation-induced changes in the white matter of poor readers. Neuron 64, 624-631. doi: 10.1016/j.neuron.2009.10.018
22. Kumar, R., Nguyen, H. D., Macey, P. M., Woo, M. A., and Harper, R. M. (2012). Regional brain axial and radial diffusivity changes during development. J. Neurosci. Res. 90, 346-355. doi: 10.1002/jnr.22757
23. Lebel, C., Walker, L., Leemans, A., Phillips, L., and Beaulieu, C. (2008). Microstructural maturation of the human brain from childhood to adulthood. Neuroimage 40, 1044-1055. doi: 10.1016/j.neuroimage.2007.12.053
24. Lecrubier, Y., Sheehan, D. V., Weiller, E., Amorim, P., Bonora, I., Harnett Sheehan, K., et al. (1997). The Mini International Neuropsychiatric Interview (MINI). A short diagnostic structured interview: reliability and validity according to the CIDI. Eur. Psychiatry 12, 224-231. doi: 10.1016/S0924-9338(97)83296-8
25. Liu, M., Gross, D. W., Wheatley, B. M., Concha, L., and Beaulieu, C. (2013). The acute phase of Wallerian degeneration: longitudinal diffusion tensor imaging of the fornix following temporal lobe surgery. Neuroimage 74, 128-139. doi: 10.1016/j.neuroimage.2013.01.069
26. Mukherjee, P., Miller, J. H., Shimony, J. S., Philip, J. V., Nehra, D., Snyder, A. Z., et al. (2002). Diffusion-tensor MR imaging of gray and white matter development during normal human brain maturation. AJNR Am. J. Neuroradiol. 23, 1445-1456.
27. Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., and Di Chiro, G. (1996). Diffusion tensor MR imaging of the human brain. Radiology 201, 637-648. doi: 10.1148/radiology.201.3.8939209
28. Sagi, Y., Tavor, I., Hofstetter, S., Tzur-Moryosef, S., Blumenfeld-Katzir, T., and Assaf, Y. (2012). Learning in the fast lane: new insights into neuroplasticity. Neuron 73, 1195-1203. doi: 10.1016/j.neuron.2012.01.025
29. Shinoura, N., Suzuki, Y., Yamada, R., Tabei, Y., Saito, K., and Yagi, K. (2009). Damage to the right superior longitudinal fasciculus in the inferior parietal lobe plays a role in spatial neglect. Neuropsychologia 47, 2600-2603. doi: 10.1016/j.neuropsychologia.2009.05.010
30. Small, G. W., Moody, T. D., Siddarth, P., and Bookheimer, S. Y. (2009). Your brain on Google: patterns of cerebral activation during internet searching. Am. J. Geriatr. Psychiatry 17, 116-126. doi: 10.1097/JGP.0b013e3181953a02
31. Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., MacKay, C. E., et al. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31, 1487-1505. doi: 10.1016/j.neuroimage.2006.02.024
32. Smith, S. M., Johansen-Berg, H., Jenkinson, M., Rueckert, D., Nichols, T. E., Miller, K. L., et al. (2007). Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nat. Protoc. 2, 499-503. doi: 10.1038/nprot.2007.45
33. Sparrow, B., Liu, J., and Wegner, D. M. (2011). Google effects on memory: cognitive consequences of having information at our fingertips. Science 333, 776-778. doi: 10.1126/science.1207745
34. Szeszko, P. R., Robinson, D. G., Ashtari, M., Vogel, J., Betensky, J., Sevy, S., et al. (2008). Clinical and neuropsychological correlates of white matter abnormalities in recent onset schizophrenia. Neuropsychopharmacology 33, 976-984. doi: 10.1038/sj.npp.1301480
35. Takeuchi, H., Sekiguchi, A., Taki, Y., Yokoyama, S., Yomogida, Y., Komuro, N., et al. (2010). Training of working memory impacts structural connectivity. J. Neurosci. 30, 3297-3303. doi: 10.1523/JNEUROSCI.4611-09.2010
36. Tang, Y. Y., Lu, Q., Fan, M., Yang, Y., and Posner, M. I. (2012). Mechanisms of white matter changes induced by meditation. Proc. Natl. Acad. Sci. U.S.A. 109, 10570-10574. doi: 10.1073/pnas.1207817109
37. Tang, Y. Y., Lu, Q., Geng, X., Stein, E. A., Yang, Y., and Posner, M. I. (2010). Short-term meditation induces white matter changes in the anterior cingulate. Proc. Natl. Acad. Sci. U.S.A. 107, 15649-15652. doi: 10.1073/pnas.1011043107
38. Thurnher, M. M., Castillo, M., Stadler, A., Rieger, A., Schmid, B., and Sundgren, P. C. (2005). Diffusion-tensor MR imaging of the brain in human immunodeficiency virus-positive patients. AJNR Am. J. Neuroradiol. 26, 2275-2281.
39. Vestergaard, M., Madsen, K. S., Baare, W. F., Skimminge, A., Ejersbo, L. R., Ramsoy, T. Z., et al. (2011). White matter microstructure in superior longitudinal fasciculus associated with spatial working memory performance in children. J. Cogn. Neurosci. 23, 2135-2146. doi: 10.1162/jocn.2010.21592
40. Walsh, M., Montojo, C. A., Sheu, Y. S., Marchette, S. A., Harrison, D. M., Newsome, S. D., et al. (2011). Object working memory performance depends on microstructure of the frontal-occipital fasciculus. Brain Connect. 1, 317-329. doi: 10.1089/brain.2011.0037
41. Wang, Y., Wu, L., Luo, L., Zhang, Y., and Dong, G. (2017). Short-term Internet search using makes people rely on search engines when facing unknown issues. PLoS ONE 12:e0176325. doi: 10.1371/journal.pone.0176325
42. Wang, Y., Wu, L., Zhou, H., Xu, J., and Dong, G. (2016). Development and validation of a self-reported questionnaire for measuring internet search dependence. Front. Public Health 4:274. doi: 10.3389/fpubh.2016.00274
43. Zatorre, R. J., Fields, R. D., and Johansen-Berg, H. (2012). Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat. Neurosci. 15, 528-536. doi: 10.1038/nn.3045
44. Zou, K., Huang, X., Li, T., Gong, Q., Li, Z., Ou-yang, L., et al. (2008). Alterations of white matter integrity in adults with major depressive disorder: a magnetic resonance imaging study. J. Psychiatry Neurosci. 33, 525-530.