參考文獻 |
[1] Fong, D., Cohen, A., Boughton, P., Raftos, P., Herrera, J. E., Simon, N. G., &
Putrino, D. (2020). Steady-State Visual-Evoked Potentials as a Biomarker for Concussion:
A Pilot Study. Frontiers in neuroscience, 14, 171. https://doi.org/10.3389/
fnins.2020.00171
[2] Ryan, L. M., & Warden, D. L. (2003a). Post-concussion syndrome. International Review
of Psychiatry, 15(4), 310–316.https://doi.org/10.1080/09540260310001606692
[3] Norcia, A. M., Appelbaum, L. G., Ales, J. M., Cottereau, B. R., & Rossion, B.
(2015). The steady-state visual evoked potential in vision research: A review. Journal
of vision, 15(6), 4. https://doi.org/10.1167/15.6.4
[4] John K Yue, MD, Ryan R L Phelps, BA, Ankush Chandra, MS, Ethan A Winkler,
MD, PhD, Geoffrey T Manley, MD, PhD, Mitchel S Berger, MD, Sideline Concussion
Assessment: The Current State of the Art, Neurosurgery, Volume 87, Issue 3,
September 2020, Pages 466–475, https://doi.org/10.1093/neuros/nyaa022
[5] American Clinical Neurophysiology Society. Guideline 9B: Guidelines on visual
evoked potentials. J Clin Neurophysiol. 2006 Apr;23(2):138-56. doi:
10.1097/00004691-200604000-00011. Erratum in: J Clin Neurophysiol. 2006
Aug;23(4):preceding 281. PMID: 16612231.
[6] Yadav NK, Ciuffreda KJ. Objective assessment of visual attention in mild traumatic
brain injury (mTBI) using visual-evoked potentials (VEP). Brain Inj. 2015;29(3):352-
65. doi: 10.3109/02699052.2014.979229. Epub 2014 Nov 21. PMID: 25415539.
[7] Poltavski D, Lederer P, Cox LK. Visually Evoked Potential Markers of Concussion
History in Patients with Convergence Insufficiency. Optom Vis Sci. 2017
Jul;94(7):742-750. doi: 10.1097/OPX.0000000000001094. PMID: 28609417; PMCID:
PMC5507818
[8] A. Sutandi, N. Dhillon, M. Lim, H. Cao and D. Si, ”Detection of Traumatic Brain
Injury Using Single Channel Electroencephalogram in Mice,” 2020 IEEE Signal Processing
in Medicine and Biology Symposium (SPMB), 2020, pp. 1-8, doi: 10.1109/
SPMB50085.2020.9353651.
[9] Boshra, R., Ruiter, K.I., DeMatteo, C. et al. Neurophysiological Correlates of Concussion:
Deep Learning for Clinical Assessment. Sci Rep 9, 17341 (2019). https://
doi.org/10.1038/s41598-019-53751-9
[10] Thanjavur, K., Babul, A., Foran, B. et al. Recurrent neural network-based acute
concussion classifier using raw resting-state EEG data. Sci Rep 11, 12353 (2021).
https://doi.org/10.1038/s41598-021-91614-4
[11] Howell, D. R., Brilliant, A. N., Storey, E. P., Podolak, O. E., Meehan, W. P.,
and Master, C. L. (2018). Objective eye tracking deficits following concussion
for youth seen in a sports medicine setting. J. Child Neurol. 33, 794–800. doi:
10.1177/0883073818789320
[12] Land, M., and Tatler, B. (2009). Looking and Acting Vision and Eye Movements
in Natural Behavior. Oxford: Oxford University Press, doi: 10.1093/acprof:oso/
9780198570943.001.0001
[13] Leigh, R. J., and Zee, D. S. (2015). The Neurology of Eye Movements. Oxford:
Oxford University Press, doi: 10.1093/med/9780199969289.001.0001
[14] Lange, B., Hunfalvay, M., Murray, N., Roberts, C. M., and Bolte, T. (2018). Reliability
of computerized eye-tracking reaction time tests in non-athletes, athletes, and
individuals with traumatic brain injury. Optom Vis. Perf. 6, 165–180.
[15] Johnson B, Zhang K, Hallett M, Slobounov S. Functional neuroimaging of acute oculomotor
deficits in concussed athletes. Brain Imaging Behav. 9(3), 564–573 (2015).
[16] Uzma Samadani, Robert Ritlop, Marleen Reyes, Elena Nehrbass, Meng Li, Elizabeth
Lamm, Julia Schneider, David Shimunov, Maria Sava, Radek Kolecki, Paige
Burris, Lindsey Altomare, Talha Mehmood, Theodore Smith, Jason H. Huang,
Christopher McStay, S. Rob Todd, Meng Qian, Douglas Kondziolka, Stephen Wall,
and Paul Huang.Journal of Neurotrauma.Apr 2015.548-556. http://doi.org/10.1089/
neu.2014.3687
[17] Hunfalvay M, Murray NP, Roberts C-M, Tyagi A, Barclay KW and Carrick FR
(2020) Oculomotor Behavior as a Biomarker for Differentiating Pediatric Patients
With Mild Traumatic Brain Injury and Age Matched Controls. Front. Behav. Neurosci.
14:581819. doi: 10.3389/fnbeh.2020.581819
[18] M Hunfalvay, CM Roberts, N Murray, et al.Vertical smooth pursuit as a diagnostic
marker of traumatic brain injury. Concussion, 5 (2020), p. CNC69
[19] M. Vishwanath et al.,“Investigation of Machine Learning Approaches for Traumatic
Brain Injury Classification via EEG Assessment in Mice,”Sensors, vol. 20, no. 7, p.
2027, Apr. 2020, doi: 10.3390/s20072027.
[20] M. Vishwanath et al., “Classification of Electroencephalogram in a Mouse Model of
Traumatic Brain Injury Using Machine Learning Approaches”in 2020 42nd Annual
International Conference of the IEEE Engineering in Medicine & Biology Society
(EMBC), Montreal, QC, Canada, Jul. 20
[21] Aggarwal, C.C., 2015. Outlier analysis. In Data mining (pp. 237-263). Springer,
Cham.
[22] Liu, B., Huang, X., Wang, Y., Chen, X., & Gao, X. (2020). BETA: A Large Benchmark
Database Toward SSVEP-BCI Application. Frontiers in Neuroscience, 14, 627.
https://doi.org/10.3389/fnins.2020.00627
[23] Ghaffarpasand, F., Razmkon, A., and Dehghankhalili, M. (2013). Glasgow coma scale
score in pediatric patients with traumatic brain injury; limitations and reliability.
Bull. Emerg. Trauma 1, 135–136
[24] M Hunfalvay, CM Roberts, N Murray, et al.Vertical smooth pursuit as a diagnostic
marker of traumatic brain injury. Concussion, 5 (2020), p. CNC69
[25] Uzma Samadani, Robert Ritlop, Marleen Reyes, Elena Nehrbass, Meng Li, Elizabeth
Lamm, Julia Schneider, David Shimunov, Maria Sava, Radek Kolecki, Paige
Burris, Lindsey Altomare, Talha Mehmood, Theodore Smith, Jason H. Huang,
Christopher McStay, S. Rob Todd, Meng Qian, Douglas Kondziolka, Stephen Wall,
and Paul Huang.Journal of Neurotrauma.Apr 2015.548-556. http://doi.org/10.1089/
neu.2014.3687
[26] Snegireva N, Derman W, Patricios J, Welman KE. Eye tracking technology in sportsrelated
concussion: a systematic review and meta-analysis. Physiol Meas. 2018 Dec
21;39(12):12TR01. doi: 10.1088/1361-6579/aaef44. PMID: 30523971.
[27] Bear, M. F., Connors, B. W., & Paradiso, M. A. (2016). Neuroscience: Exploring
the brain (Fourth edition). Wolters Kluwer.
[28] Lawhern, V. J., Solon, A. J., Waytowich, N. R., Gordon, S. M., Hung, C. P., &
Lance, B. J. (2018). Eegnet: A compact convolutional network for eeg-based braincomputer
interfaces. Journal of Neural Engineering, 15(5), 056013. https://doi.org/
10.1088/1741-2552/aace8c
[29] Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser,
L., & Polosukhin, I. (2017). Attention is all you need (arXiv:1706.03762). arXiv.
http://arxiv.org/abs/1706.03762
[30] Toffanin P, de Jong R, Johnson A, Martens S. Using frequency tagging to quantify
attentional deployment in a visual divided attention task. Int J Psychophysiol. 2009
Jun;72(3):289-98. doi: 10.1016/j.ijpsycho.2009.01.006. PMID: 19452603
[31] Rizzo, John‐Ross, et al. ”Rapid number naming in chronic concussion: eye movements
in the King–Devick test.” Annals of clinical and translational neurology 3.10
(2016): 801-811.
[32] ZHANG, Ge, et al. Computational exploration of dynamic mechanisms of steady
state visual evoked potentials at the whole brain level. NeuroImage, 2021, 237:
118166.
[33] Anderson Schrader, Isabella Gebhart, Drew Garrison, Andrew Duchowski, Martian
Lapadatescu, Weiyu Feng, Mahmoud Thabit, Fang Wang, Krzysztof Krejtz, and
Daniel D. Petty. 2021. Toward Eye-Tracked Sideline Concussion Assessment in eXtended
Reality. In ACM Symposium on Eye Tracking Research and Applications
(ETRA ’21 Full Papers). Association for Computing Machinery, New York, NY,
USA, Article 7, 1–11. https://doi.org/10.1145/3448017.3457378
[34] Hallock H, Mantwill M, Vajkoczy P, Wolfarth B, Reinsberger C, Lampit A, Finke
C. Sport-Related Concussion: A Cognitive Perspective. Neurol Clin Pract. 2023
Apr;13(2) e200123. doi:10.1212/cpj.0000000000200123. PMID: 36891462; PMCID:
PMC9987206.
[35] Langlois JA, Rutland-Brown W, Wald MM (2006) The epidemiology and impact of
traumatic brain injury: a brief overview. J Head Trauma Rehabil 21(5):375–378
[36] Santos, Fernando V., et al. ”Virtual reality in concussion management: from lab to
clinic.” Journal of Clinical and Translational Research 5.4 (2020): 148.
[37] LeMarshall, Soraya J., et al. ”Virtual reality-based interventions for the rehabilitation
of vestibular and balance impairments post-concussion: a scoping review.” Journal
of neuroengineering and rehabilitation 20.1 (2023): 31. - |