Altered Relationship between Working Memory and Brain Microstructure after Mild Traumatic Brain Injury

REFERENCES

1. 1.↵
   2. Taylor CA,
   3. Bell JM,
   4. Breiding MJ, et al

   . Traumatic brain injury-related emergency department visits, hospitalizations, and deaths: United States, 2007 and 2013. MMWR Surveill Summ 2017;66:1–16 doi:10.15585/mmwr.ss6609a1 pmid:28301451

   CrossRefPubMed
2. 2.↵
   Centers for Disease Control and Prevention. Report to Congress on Mild Traumatic Brain Injury in the United States: Steps to Prevent a Serious Public Health Problem. Atlanta: Centers for Disease Control and Prevention; 2003
3. 3.↵
   2. Røe C,
   3. Sveen U,
   4. Alvsåker K, et al

   . Post-concussion symptoms after mild traumatic brain injury: influence of demographic factors and injury severity in a 1-year cohort study. Disabil Rehabil 2009;31:1235–43 doi:10.1080/09638280802532720 pmid:19116810

   CrossRefPubMed
4. 4.↵
   2. Chen CJ,
   3. Wu CH,
   4. Liao YP, et al

   . Working memory in patients with mild traumatic brain injury: functional MR imaging analysis. Radiology 2012;264:844–51 doi:10.1148/radiol.12112154 pmid:22829681

   CrossRefPubMed
5. 5.↵
   2. Ruff R

   . Two decades of advances in understanding of mild traumatic brain injury. J Head Trauma Rehabil 2005;20:5–18 pmid:15668567

   CrossRefPubMedWeb of Science
6. 6.↵
   2. Mayer AR,
   3. Ling J,
   4. Mannell MV, et al

   . A prospective diffusion tensor imaging study in mild traumatic brain injury. Neurology 2010;74:643–50 doi:10.1212/WNL.0b013e3181d0ccdd pmid:20089939

   CrossRefPubMed
7. 7.↵
   2. Niogi SN,
   3. Mukherjee P,
   4. Ghajar J, et al

   . Extent of microstructural white matter injury in postconcussive syndrome correlates with impaired cognitive reaction time: a 3T diffusion tensor imaging study of mild traumatic brain injury. AJNR Am J Neuroradiol 2008;29:967–73 doi:10.3174/ajnr.A0970 pmid:18272556

   Abstract/FREE Full Text
8. 8.↵
   2. Rutgers DR,
   3. Toulgoat F,
   4. Cazejust J, et al

   . White matter abnormalities in mild traumatic brain injury: a diffusion tensor imaging study. AJNR Am J Neuroradiol 2008;29:514–19 doi:10.3174/ajnr.A0856 pmid:18039754

   Abstract/FREE Full Text
9. 9.↵
   2. Stokum JA,
   3. Sours C,
   4. Zhuo J, et al

   . A longitudinal evaluation of diffusion kurtosis imaging in patients with mild traumatic brain injury. Brain Inj 2015;29:47–57 doi:10.3109/02699052.2014.947628 pmid:25259786

   CrossRefPubMed
10. 10.↵
    2. Grossman EJ,
    3. Jensen JH,
    4. Babb JS, et al

    . Cognitive impairment in mild traumatic brain injury: a longitudinal diffusional kurtosis and perfusion imaging study. AJNR Am J Neuroradiol 2013;34:951–57, S1–3 doi:10.3174/ajnr.A3358 pmid:23179649

    Abstract/FREE Full Text
11. 11.↵
    2. Fieremans E,
    3. Jensen JH,
    4. Helpern JA

    . White matter characterization with diffusional kurtosis imaging. Neuroimage 2011;58:177–88 doi:10.1016/j.neuroimage.2011.06.006 pmid:21699989

    CrossRefPubMed
12. 12.↵
    2. Sandry J,
    3. Chiou KS,
    4. DeLuca J, et al

    . Individual differences in working memory capacity predicts responsiveness to memory rehabilitation after traumatic brain injury. Arch Phys Med Rehabil 2016;97:1026–29 e1 doi:10.1016/j.apmr.2015.10.109 pmid:26657213

    CrossRefPubMed
13. 13.↵
    2. van der Horn HJ,
    3. Liemburg EJ,
    4. Scheenen ME, et al

    . Post-concussive complaints after mild traumatic brain injury associated with altered brain networks during working memory performance. Brain Imaging Behav 2016;10:1243–53 doi:10.1007/s11682-015-9489-y pmid:26667033

    CrossRefPubMed
14. 14.↵
    2. McAllister TW,
    3. Flashman LA,
    4. McDonald BC, et al

    . Mechanisms of working memory dysfunction after mild and moderate TBI: evidence from functional MRI and neurogenetics. J Neurotrauma 2006;23:1450–67 doi:10.1089/neu.2006.23.1450 pmid:17020482

    CrossRefPubMedWeb of Science
15. 15.↵
    2. McDowell S,
    3. Whyte J,
    4. D'Esposito M

    . Working memory impairments in traumatic brain injury: evidence from a dual-task paradigm. Neuropsychologia 1997;35:1341–53 doi:10.1016/S0028-3932(97)00082-1 pmid:9347480

    CrossRefPubMedWeb of Science
16. 16.↵
    2. Hoofien D,
    3. Gilboa A,
    4. Vakil E, et al

    . Traumatic brain injury (TBI) 10–20 years later: a comprehensive outcome study of psychiatric symptomatology, cognitive abilities and psychosocial functioning. Brain Inj 2001;15:189–209 doi:10.1080/026990501300005659 pmid:11260769

    CrossRefPubMedWeb of Science
17. 17.↵
    1. Alloway TP

    2. Kayser AS,
    3. Ballard ME,
    4. D'Esposito M

    . Working memory and TBI. In: Alloway TP, ed. Working Memory and Clinical Developmental Disorders: Theories, Debates and Interventions. Abingdon: Routledge. 2018:180–95
18. 18.↵
    2. Baddeley A

    . Working memory: looking back and looking forward. Nat Rev Neurosci 2003;4:829–39 doi:10.1038/nrn1201 pmid:14523382

    CrossRefPubMedWeb of Science
19. 19.↵
    2. Baddeley A

    . Working memory: theories, models, and controversies. Annu Rev Psychol 2012;63:1–29 doi:10.1146/annurev-psych-120710-100422 pmid:21961947

    CrossRefPubMedWeb of Science
20. 20.↵
    2. Klauer KC,
    3. Zhao Z

    . Double dissociations in visual and spatial short-term memory. J Exp Psychol Gen 2004;133:355–81 doi:10.1037/0096-3445.133.3.355 pmid:15355144

    CrossRefPubMed
21. 21.↵
    2. Takeuchi H,
    3. Taki Y,
    4. Sassa Y, et al

    . Verbal working memory performance correlates with regional white matter structures in the frontoparietal regions. Neuropsychologia 2011;49:3466–73 doi:10.1016/j.neuropsychologia.2011.08.022 pmid:21906608

    CrossRefPubMedWeb of Science
22. 22.↵
    2. Golestani AM,
    3. Miles L,
    4. Babb J, et al

    . Constrained by our connections: white matter's key role in interindividual variability in visual working memory capacity. J Neurosci 2014;34:14913–18 doi:10.1523/JNEUROSCI.2317-14.2014 pmid:25378158

    Abstract/FREE Full Text
23. 23.↵
    2. Lazar M

    . Working memory: how important is white matter? Neuroscientist 2017;23:197–210 doi:10.1177/1073858416634298 pmid:30231842

    CrossRefPubMed
24. 24.↵
    2. Chung S,
    3. Fieremans E,
    4. Kucukboyaci NE, et al

    . Working memory and brain tissue microstructure: white matter tract integrity based on multi-shell diffusion MRI. Sci Rep 2018;8:3175 doi:10.1038/s41598-018-21428-4 pmid:29453439

    CrossRefPubMed
25. 25.↵
    2. Wechsler D

    . Wechsler Adult Intelligence Scale. San Antonio: Pearson; 2008
26. 26.↵
    2. Klonoff PS,
    3. Costa LD,
    4. Snow WG

    . Predictors and indicators of quality of life in patients with closed-head injury. J Clin Exp Neuropsychol 1986;8:469–85 doi:10.1080/01688638608405171 pmid:3805248

    CrossRefPubMedWeb of Science
27. 27.↵
    2. Chung S,
    3. Fieremans E,
    4. Wang X, et al

    . White matter tract integrity: an indicator of axonal pathology after mild traumatic brain injury. J Neurotrauma 2018;35:1015–20 doi:10.1089/neu.2017.5320 pmid:29239261

    CrossRefPubMed
28. 28.↵
    2. Setsompop K,
    3. Gagoski BA,
    4. Polimeni JR, et al

    . Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn Reson Med 2012;67:1210–24 doi:10.1002/mrm.23097 pmid:21858868

    CrossRefPubMed
29. 29.↵
    2. Veraart J,
    3. Fieremans E,
    4. Novikov DS

    . Diffusion MRI noise mapping using random matrix theory. Magn Reson Med 2016;76:1582–93 doi:10.1002/mrm.26059 pmid:26599599

    CrossRefPubMed
30. 30.↵
    2. Kellner E,
    3. Dhital B,
    4. Kiselev VG, et al

    . Gibbs-ringing artifact removal based on local subvoxel-shifts. Magn Reson Med 2016;76:1574–81 doi:10.1002/mrm.26054 pmid:26745823

    CrossRefPubMed
31. 31.↵
    2. Collier Q,
    3. Veraart J,
    4. Jeurissen B, et al

    . Iterative reweighted linear least squares for accurate, fast, and robust estimation of diffusion magnetic resonance parameters. Magn Reson Med 2015;73:2174–84 doi:10.1002/mrm.25351 pmid:24986440

    CrossRefPubMed
32. 32.↵
    2. Smith SM,
    3. Jenkinson M,
    4. Johansen-Berg H, et al

    . Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006;31:1487–505 doi:10.1016/j.neuroimage.2006.02.024 pmid:16624579

    CrossRefPubMedWeb of Science
33. 33.↵
    2. Jensen JH,
    3. McKinnon ET,
    4. Glenn GR, et al

    . Evaluating kurtosis-based diffusion MRI tissue models for white matter with fiber ball imaging. NMR Biomed 2017;30 doi:10.1002/nbm.3689 pmid:28085211

    CrossRefPubMed
34. 34.↵
    2. Mori S,
    3. Oishi K,
    4. Jiang H, et al

    . Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage 2008;40:570–82 doi:10.1016/j.neuroimage.2007.12.035 pmid:18255316

    CrossRefPubMedWeb of Science
35. 35.↵
    2. Fisher RA

    . Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd; 1948
36. 36.↵
    2. Mesulam MM

    . From sensation to cognition. Brain 1998;121(Pt 6):1013–52 doi:10.1093/brain/121.6.1013 pmid:9648540

    CrossRefPubMedWeb of Science
37. 37.↵
    2. Petrides M,
    3. Pandya DN

    . Comparative cytoarchitectonic analysis of the human and the macaque ventrolateral prefrontal cortex and corticocortical connection patterns in the monkey. Eur J Neurosci 2002;16:291–310 doi:10.1046/j.1460-9568.2001.02090.x pmid:12169111

    CrossRefPubMedWeb of Science
38. 38.↵
    2. Cohen JD,
    3. Perlstein WM,
    4. Braver TS, et al

    . Temporal dynamics of brain activation during a working memory task. Nature 1997;386:604–08 doi:10.1038/386604a0 pmid:9121583

    CrossRefPubMedWeb of Science
39. 39.↵
    2. Prabhakaran V,
    3. Narayanan K,
    4. Zhao Z, et al

    . Integration of diverse information in working memory within the frontal lobe. Nat Neurosci 2000;3:85–90 doi:10.1038/71156 pmid:10607400

    CrossRefPubMedWeb of Science
40. 40.↵
    2. Todd JJ,
    3. Marois R

    . Capacity limit of visual short-term memory in human posterior parietal cortex. Nature 2004;428:751–54 doi:10.1038/nature02466 pmid:15085133

    CrossRefPubMedWeb of Science
41. 41.↵
    2. Frye RE,
    3. Hasan K,
    4. Malmberg B, et al

    . Superior longitudinal fasciculus and cognitive dysfunction in adolescents born preterm and at term. Dev Med Child Neurol 2010;52:760–66 doi:10.1111/j.1469-8749.2010.03633.x pmid:20187879

    CrossRefPubMed
42. 42.↵
    2. Hoeft F,
    3. Barnea-Goraly N,
    4. Haas BW, et al

    . More is not always better: increased fractional anisotropy of superior longitudinal fasciculus associated with poor visuospatial abilities in Williams syndrome. J Neurosci 2007;27:11960–65 doi:10.1523/JNEUROSCI.3591-07.2007 pmid:17978036

    Abstract/FREE Full Text
43. 43.↵
    2. Chechlacz M,
    3. Gillebert CR,
    4. Vangkilde SA, et al

    . Structural variability within frontoparietal networks and individual differences in attentional functions: an approach using the theory of visual attention. J Neurosci 2015;35:10647–58 doi:10.1523/JNEUROSCI.0210-15.2015 pmid:26224851

    Abstract/FREE Full Text
44. 44.↵
    2. Palacios EM,
    3. Fernandez-Espejo D,
    4. Junque C, et al

    . Diffusion tensor imaging differences relate to memory deficits in diffuse traumatic brain injury. BMC Neurol 2011;11:24 doi:10.1186/1471-2377-11-24 pmid:21345223

    CrossRefPubMed
45. 45.↵
    2. Jensen JH,
    3. Helpern JA

    . MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed 2010;23:698–710 doi:10.1002/nbm.1518 pmid:20632416

    CrossRefPubMedWeb of Science
46. 46.↵
    2. Andersson G,
    3. Orädd G,
    4. Sultan F, et al

    . In vivo diffusion tensor imaging, diffusion kurtosis imaging, and tractography of a sciatic nerve injury model in rat at 9.4T. Sci Rep 2018;8:12911 doi:10.1038/s41598-018-30961-1 pmid:30150697

    CrossRefPubMed
47. 47.↵
    2. Zhuo J,
    3. Xu S,
    4. Proctor JL, et al

    . Diffusion kurtosis as an in vivo imaging marker for reactive astrogliosis in traumatic brain injury. Neuroimage 2012;59:467–77 doi:10.1016/j.neuroimage.2011.07.050 pmid:21835250

    CrossRefPubMed
48. 48.↵
    2. Tang CY,
    3. Eaves EL,
    4. Ng JC, et al

    . Brain networks for working memory and factors of intelligence assessed in males and females with fMRI and DTI. Intelligence 2010;38:293–303 doi:10.1016/j.intell.2010.03.003

    CrossRefWeb of Science
49. 49.↵
    2. Long YC,
    3. Ouyang X,
    4. Liu ZN, et al

    . Associations among suicidal ideation, white matter integrity and cognitive deficit in first-episode schizophrenia. Front Psychiatry 2018;9:391 doi:10.3389/fpsyt.2018.00391 pmid:30210372

    CrossRefPubMed
50. 50.↵
    2. Esposito F,
    3. Aragri A,
    4. Latorre V, et al

    . Does the default-mode functional connectivity of the brain correlate with working-memory performances? Arch Ital Biol 2009;147:11–20 pmid:19678593

    PubMedWeb of Science
51. 51.↵
    2. Bluhm RL,
    3. Clark CR,
    4. McFarlane AC, et al

    . Default network connectivity during a working memory task. Hum Brain Mapp 2011;32:1029–35 doi:10.1002/hbm.21090 pmid:20648663

    CrossRefPubMedWeb of Science
52. 52.↵
    2. Shenton ME,
    3. Hamoda HM,
    4. Schneiderman JS, et al

    . A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging Behav 2012;6:137–92 doi:10.1007/s11682-012-9156-5 pmid:22438191

    CrossRefPubMedWeb of Science
53. 53.↵
    2. Budde MD,
    3. Janes L,
    4. Gold E, et al

    . The contribution of gliosis to diffusion tensor anisotropy and tractography following traumatic brain injury: validation in the rat using Fourier analysis of stained tissue sections. Brain 2011;134:2248–60 doi:10.1093/brain/awr161 pmid:21764818

    CrossRefPubMedWeb of Science
54. 54.↵
    2. Bach M,
    3. Laun FB,
    4. Leemans A, et al

    . Methodological considerations on tract-based spatial statistics (TBSS). Neuroimage 2014;100:358–69 doi:10.1016/j.neuroimage.2014.06.021 pmid:24945661

    CrossRefPubMed