1. Hyder AA, Wunderlich CA, Puvanachandra P, Gururaj G, Kobusingye OC. The impact of traumatic brain injuries: a global perspective.
NeuroRehabilitation. 2007;22(5):341–353. doi:10.3233/nre-2007-22502
2. Koponen S, Taiminen T, Portin R, et al. Axis I and II psychiatric disorders after traumatic brain injury: a 30-year follow-up study. Am J Psychiatry.
2002;159(8):1315–1321. doi:10.1176/appi.ajp.159.8.1315
3. Holsinger T, Steffens DC, Phillips C, et al. Head injury in early adulthood and the lifetime risk of depression. Arch Gen Psychiatry. 2002;59
(1):17–22. doi:10.1001/archpsyc.59.1.17
4. Smith DH, Meaney DF. Axonal damage in traumatic brain injury. Neuroscientist. 2000;6(6):483–495. doi:10.1177/107385840000600611
5. Browne KD, Chen X-H, Meaney DF, Smith DH. Mild traumatic brain injury and diffuse axonal injury in swine. J Neurotrauma. 2011;28
(9):1747–1755. doi:10.1089/neu.2011.1913
6. Gennarelli TA, Thibault LE, Adams JH, Graham DI, Thompson CJ, Marcincin RP. Diffuse axonal injury and traumatic coma in the primate. Ann
Neurol. 1982;12(6):564–574. doi:10.1002/ana.410120611
7. Werner C, Engelhard K. Pathophysiology of traumatic brain injury. Br J Anaesth. 2007;99(1):4–9. doi:10.1093/bja/aem131
8. Hulkower M, Poliak D, Rosenbaum S, Zimmerman M, Lipton ML. A decade of DTI in traumatic brain injury: 10 years and 100 articles later. AJNR
Am J Neuroradiol. 2013;34(11):2064–2074. doi:10.3174/ajnr.A3395
9. Klimova A, Korgaonkar MS, Whitford T, Bryant RA. Diffusion tensor imaging analysis of mild traumatic brain injury and posttraumatic stress
disorder. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019;4(1):81–90. doi:10.1016/j.bpsc.2018.10.004
10. Assaf Y, Pasternak O. Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review. J Mol Neurosci. 2008;34(1):51–61.
doi:10.1007/s12031-007-0029-0
11. Kinnunen KM, Greenwood R, Powell JH, et al. White matter damage and cognitive impairment after traumatic brain injury. Brain. 2010;134
(2):449–463. doi:10.1093/brain/awq347
12. Niogi SN, Mukherjee P. Diffusion tensor imaging of mild traumatic brain injury. J Head Trauma Rehabil. 2010;25(4):241–255. doi:10.1097/
HTR.0b013e3181e52c2a
13. Alexander AL, Lee JE, Lazar M, Field AS. Diffusion tensor imaging of the brain. Neurotherapeutics. 2007;4(3):316–329. doi:10.1016/j.
nurt.2007.05.011
14. Douglas DB, Iv M, Douglas PK, et al. Diffusion tensor imaging of TBI: potentials and challenges. Top Magn Reson Imaging. 2015;24(5):241.
doi:10.3390/medsci7010002
15. Liu Y, Duan Y, He Y, et al. Whole brain white matter changes revealed by multiple diffusion metrics in multiple sclerosis: a TBSS study. Eur
J Radiol. 2012;81(10):2826–2832. doi:10.1016/j.ejrad.2011.11.022
16. Porter EJ, Counsell SJ, Edwards AD, Allsop J, Azzopardi D. Tract-based spatial statistics of magnetic resonance images to assess disease and
treatment effects in perinatal asphyxial encephalopathy. Pediatr Res. 2010;68(3):205–209. doi:10.1203/PDR.0b013e3181e9f1ba
17. Chen, H.J., Gao, Y.Q., Che, C.H., Lin, H. and Ruan, X.L., Diffusion tensor imaging with tract-based spatial statistics reveals white matter
abnormalities in patients with vascular cognitive impairment. Front Neuroanat. 2018;12:53.
18. Aung WY, Mar S, Benzinger TL. Diffusion tensor MRI as a biomarker in axonal and myelin damage. Imaging Med. 2013;5(5):427.
19. Shenton ME, Hamoda H, Schneiderman J, et al. A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic
brain injury. Brain Imaging Behav. 2012;6(2):137–192. doi:10.1007/s11682-012-9156-5
20. Inglese M, Makani S, Johnson G, et al. Diffuse axonal injury in mild traumatic brain injury: a diffusion tensor imaging study. J Neurosurg.
2005;103(2):298–303. doi:10.3171/jns.2005.103.2.0298
21. Kraus MF, Susmaras T, Caughlin BP, Walker CJ, Sweeney JA, Little DM. White matter integrity and cognition in chronic traumatic brain injury:
a diffusion tensor imaging study. Brain. 2007;130(10):2508–2519. doi:10.1093/brain/awm216
22. Chang MC, Kim SH, Kim OL, Bai DS, Jang SH. The relation between fornix injury and memory impairment in patients with diffuse axonal injury:
a diffusion tensor imaging study. NeuroRehabilitation. 2010;26(4):347–353. doi:10.3233/NRE-2010-0572
23. Kasahara K, Hashimoto K, Abo M, Senoo A. Voxel-and atlas-based analysis of diffusion tensor imaging may reveal focal axonal injuries in mild
traumatic brain injury—comparison with diffuse axonal injury. Magn Reson Imaging. 2012;30(4):496–505. doi:10.1016/j.mri.2011.12.018
24. Kumar R, Gupta RK, Husain M, et al. Comparative evaluation of corpus callosum DTI metrics in acute mild and moderate traumatic brain injury:
its correlation with neuropsychometric tests. Brain Inj. 2009;23(7–8):675–685. doi:10.1080/02699050903014915
25. Aoki Y, Inokuchi R, Gunshin M, Yahagi N, Suwa H. Diffusion tensor imaging studies of mild traumatic brain injury: a meta-analysis. J Neurol
Neurosurg Psychiatry. 2012;83(9):870–876. doi:10.1136/jnnp-2012-302742
26. Dodd AB, Epstein K, Ling JM, Mayer AR. Diffusion tensor imaging findings in semi-acute mild traumatic brain injury. J Neurotrauma. 2014;31
(14):1235–1248.
27. Gardner A, Kay-Lambkin F, Stanwell P, et al. A systematic review of diffusion tensor imaging findings in sports-related concussion.
J Neurotrauma. 2012;29:2521–2538.
28. Arfanakis K, Haughton VM, Carew JD, Rogers BP, Dempsey RJ, Meyerand ME. Diffusion tensor MR imaging in diffuse axonal injury. AJNR Am
J Neuroradiol. 2002;23(5):794–802.
29. Kennedy MR, Wozniak JR, Muetzel RL, et al. White matter and neurocognitive changes in adults with chronic traumatic brain injury.
J Int Neuropsychol Soc. 2009;15(1):130–136. doi:10.1017/S1355617708090024
30. Mohamed AZ, Cumming P, Nasrallah FA. White matter alterations are associated with cognitive dysfunction decades after moderate-to-severe traumatic
brain injury and/or posttraumatic stress disorder. Biol Psychiatry Cogn Neurosci Neuroimaging. 2021;6(11):1100–1109. doi:10.1016/j.bpsc.2021.04.014
31. Perez AM, Adler J, Kulkarni N, et al. Longitudinal white matter changes after traumatic axonal injury. J Neurotrauma. 2014;31(17):1478–1485.
doi:10.1089/neu.2013.3216
32. Cubon VA, Putukian M, Boyer C, Dettwiler A. A diffusion tensor imaging study on the white matter skeleton in individuals with sports-related
concussion. J Neurotrauma. 2011;28(2):189–201. doi:10.1089/neu.2010.1430
33. Jorge RE, Acion L, White T, et al. White matter abnormalities in veterans with mild traumatic brain injury. AJP. 2012;169(12):1284–1291.
doi:10.1176/appi.ajp.2012.12050600
1812
Powered by TCPDF (www.tcpdf.org)
https://doi.org/10.2147/NDT.S354265
DovePress
Neuropsychiatric Disease and Treatment 2022:18
Dovepress
Abdelrahman et al
34. Orru G, Pettersson-Yeo W, Marquand AF, Sartori G, Mechelli A. Using support vector machine to identify imaging biomarkers of neurological and
psychiatric disease: a critical review. Neurosci Biobehav Rev. 2012;36(4):1140–1152. doi:10.1016/j.neubiorev.2012.01.004
35. Linden DE. The challenges and promise of neuroimaging in psychiatry. Neuron. 2012;73(1):8–22. doi:10.1016/j.neuron.2011.12.014
36. Zarogianni E, Moorhead TW, Lawrie SM. Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern
classification at a single-subject level. Neuroimage Clin. 2013;3:279–289. doi:10.1016/j.nicl.2013.09.003
37. Saha A, Fadaiefard P, Rabski JE, Sadeghian A, Cusimano MD. Machine learning applications using diffusion tensor imaging of human brain:
a PubMed literature review. arXiv preprint arXiv:2012.10517; 2020.
38. Vergara Victor M, MayerAndrew R, KiehlKent A. Detection of mild traumatic brain injury by machine learning classification using resting state
functional network connectivity and fractional anisotropy. J Neurotrauma. 2017. doi:10.1089/neu.2016.4526
39. Zheng ZS, Reggente N, Lutkenhoff E, Owen AM, Monti MM. Disentangling disorders of consciousness: insights from diffusion tensor imaging
and machine learning. Hum Brain Mapp. 2017;38(1):431–443. doi:10.1002/hbm.23370
40. Hellyer PJ, Leech R, Ham TE, Bonnelle V, Sharp DJ. Individual prediction of white matter injury following traumatic brain injury. Ann Neurol.
2013;73(4):489–499. doi:10.1002/ana.23824
41. Fagerholm ED, Hellyer PJ, Scott G, Leech R, Sharp DJ. Disconnection of network hubs and cognitive impairment after traumatic brain injury.
Brain. 2015;138(6):1696–1709. doi:10.1093/brain/awv075
42. Goswami R, Dufort P, Tartaglia MC, et al. Frontotemporal correlates of impulsivity and machine learning in retired professional athletes with
a history of multiple concussions. Brain Struct Funct. 2016;221(4):1911–1925. doi:10.1007/s00429-015-1012-0
43. Mitra J, Shen K-K, Ghose S, et al. Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white
matter networks. Neuroimage. 2016;129:247–259. doi:10.1016/j.neuroimage.2016.01.056
44. Lui YW, Xue Y, Kenul D, Ge Y, Grossman RI, Wang Y. Classification algorithms using multiple MRI features in mild traumatic brain injury.
Neurology. 2014;83(14):1235–1240. doi:10.1212/WNL.0000000000000834
45. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TE, Johansen-Berg H, Bannister PR, De Luca M, Drobnjak I, Flitney DE. Advances in
functional and structural MR image analysis and implementation as FSL. Neuroimage. 2014;23:S208–S19. doi:10.1016/j.neuroimage.2004.07.051.
46. Andersson JL, Sotiropoulos SN. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.
Neuroimage. 2016;125:1063–1078.
47. Woolrich MW, Jbabdi S, Patenaude B, Chappell M, Makni S, Behrens T, Beckmann C, Jenkinson M, Smith SM. Bayesian analysis of neuroimaging
data in FSL. Neuroimage. 2009;45:S173–S86.
48. Ennis DB, Kindlmann G. Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images. Magn Reson Med. 2006;55
(1):136–146.
49. Behrens TE, Woolrich MW, Jenkinson M, Johansen–Berg H, Nunes RG, Clare S, Matthews PM, Brady JM, Smith SM. Characterization and
propagation of uncertainty in diffusion–weighted MR imaging. Magn Reson Med. 2003;50:1077–88. doi:10.1002/mrm.10609.
50. Mori S, Wakana S, Van Zijl PC, Nagae-Poetscher L. MRI Atlas of Human White Matter. Elsevier; 2005.
51. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ Matthews PM. Tract-based
spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. 2006;31:1487 505. doi:10.1016/j.neuroimage.2006.02.024
52. Andersson JL, Jenkinson M, Smith S. Non-linear registration aka spatial normalisation FMRIB technial report TR07JA2. FMRIB Analysis Group
of the University of Oxford; 2007.
53. Mwangi B, Tian TS, Soares JC A review of feature reduction techniques in neuroimaging. Neuroinformatics. 2014;12:229–44. doi:10.1007/s12021-0139204-3
54. Passos IC, Mwangi B, Kapczinski F Big data analytics and machine learning: 2015 and beyond. Lancet Psychiatry. 2016;3:13–5. doi:10.1016/
S2215-0366(15)00549-0
55. Guyon I, Elisseeff A. An introduction to variable and feature selection. J Mach Learn Res. 2003;3:1157–82. doi:10.1162/153244303322753616
56. Joliffe I. Principal Component Analysis. NY: Springer; 2002.
57. O’Dwyer L, Lamberton F, Bokde AL, Ewers M, Faluyi YO, Tanner C, Mazoyer B, O’Neill D, Bartley M, Collins DR. Using support vector machines with
multiple indices of diffusion for automated classification of mild cognitive impairment. PloS one. 2012;7:e32441. doi:10.1371/journal.pone.0032441
58. Namiki J, Yamazaki M, Funabiki T, et al. Difficulty and inaccuracy of assessment of the consciousness level by the Glasgow Coma Scale:
comparison with the Japan Coma Scale. J Jpn Soc Emerg Med. 2007;10:20–25.
59. Mayer AR, Ling JM, Yang Z, Pena A, Yeo RA, Klimaj S. Diffusion abnormalities in pediatric mild traumatic brain injury. J Neurosci. 2012;32
(50):17961–17969. doi:10.1523/JNEUROSCI.3379-12.2012
60. Mannell MALJ, Gasparovic C, Phillips JP, Doezema D, Reichard R, Yeo RA. A prospective diffusion tensor imaging study in mild traumatic brain
injury. Neurology. 2010;74(8):643–650. doi:10.1212/WNL.0b013e3181d0ccdd
61. Wallace EJ, Mathias JL, Ward L. Diffusion tensor imaging changes following mild, moderate and severe adult traumatic brain injury: a
meta-analysis. Brain Imaging Behav. 2018;12(6):1607–1621. doi:10.1007/s11682-018-9823-2
62. Nakayama N, Okumura A, Shinoda J, et al. Evidence for white matter disruption in traumatic brain injury without macroscopic lesions. J Neurol
Neurosurg Psychiatry. 2006;77(7):850–855. doi:10.1136/jnnp.2005.077875
63. Xu J, Rasmussen I-A, Lagopoulos J, Håberg A. Diffuse axonal injury in severe traumatic brain injury visualized using high-resolution diffusion
tensor imaging. J Neurotrauma. 2007;24(5):753–765. doi:10.1089/neu.2006.0208
64. Main KL, Soman S, Pestilli F, et al. DTI measures identify mild and moderate TBI cases among patients with complex health problems: a receiver
operating characteristic analysis of US veterans. NeuroImage Clin. 2017;16:1–6. doi:10.1016/j.nicl.2017.06.031
65. Hasan KM, Narayana PA. Retrospective measurement of the diffusion tensor eigenvalues from diffusion anisotropy and mean diffusivity in DTI.
Magn Reson Med. 2006;56(1):130–137. doi:10.1002/mrm.20935
66. Martinez BI, Stabenfeldt SE. Current trends in biomarker discovery and analysis tools for traumatic brain injury. J Biol Eng. 2019;13(1):16.
doi:10.1186/s13036-019-0145-8
67. Mateos-Perez JM, Dadar M, Lacalle-Aurioles M, Iturria-Medina Y, Zeighami Y, Evans AC. Structural neuroimaging as clinical predictor: a review
of machine learning applications. Neuroimage Clin. 2018;20:506–522. doi:10.1016/j.nicl.2018.08.019
68. Harrington DL, Hsu PY, Theilmann RJ, et al. Detection of chronic blast-related mild traumatic brain injury with diffusion tensor imaging and
support vector machines. Diagnostics. 2022;12(4):987. doi:10.3390/diagnostics12040987
Neuropsychiatric Disease and Treatment 2022:18
https://doi.org/10.2147/NDT.S354265
DovePress
Powered by TCPDF (www.tcpdf.org)
1813
Dovepress
Abdelrahman et al
Neuropsychiatric Disease and Treatment
Dovepress
Publish your work in this journal
Neuropsychiatric Disease and Treatment is an international, peer-reviewed journal of clinical therapeutics and pharmacology focusing on
concise rapid reporting of clinical or pre-clinical studies on a range of neuropsychiatric and neurological disorders. This journal is indexed on
PubMed Central, the ‘PsycINFO’ database and CAS, and is the official journal of The International Neuropsychiatric Association (INA). The
manuscript management system is completely online and includes a very quick and fair peer-review system, which is all easy to use. Visit
http://www.dovepress.com/testimonials.php to read real quotes from published authors.
Submit your manuscript here: https://www.dovepress.com/neuropsychiatric-disease-and-treatment-journal
1814
Powered by TCPDF (www.tcpdf.org)
DovePress
Neuropsychiatric Disease and Treatment 2022:18
...
論文の公開元へ
