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Retrospective and Prospective Memory Among OEF/OIF/OND Veterans With a Self-Reported History of Blast-Related mTBI

Published online by Cambridge University Press:  29 December 2017

Kathleen F. Pagulayan*
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington
Holly Rau
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington
Renee Madathil
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington
Madeleine Werhane
Affiliation:
San Diego State University/University of California, San Diego (SDSU/UCSD) Joint Doctoral Program in Clinical Psychology, San Diego, California VA San Diego Healthcare System (VASDHS), San Diego, California
Steven P. Millard
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Geriatric Research, Education, and Clinical Center (GRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington
Eric C. Petrie
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington
Brett Parmenter
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington
Sarah Peterson
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington
Scott Sorg
Affiliation:
VA San Diego Healthcare System (VASDHS), San Diego, California
Rebecca Hendrickson
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington
Cindy Mayer
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington
James S. Meabon
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington
Bertrand R. Huber
Affiliation:
Veterans Administration, Jamaica Plain, Massachusetts Boston University Department of Neurology, Boston, Massachusetts.
Murray Raskind
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington
David G. Cook
Affiliation:
Geriatric Research, Education, and Clinical Center (GRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Medicine (Division of Gerontology and Geriatric Medicine), University of Washington School of Medicine, Seattle, Washington Department of Pharmacology, University of Washington School of Medicine, Seattle, Washington
Elaine R. Peskind
Affiliation:
Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington
*
Correspondence and reprint requests to: Kathleen F. Pagulayan, VA Puget Sound Health Care System, Mail Code S-116-MIRECC, 1660 South Columbian Way, Seattle, WA, 98108. E-mail: [email protected]

Abstract

Objectives: To evaluate prospective and retrospective memory abilities in Operation Enduring Freedom (OEF), Operation Iraqi Freedom (OIF), and Operation New Dawn (OND) Veterans with and without a self-reported history of blast-related mild traumatic brain injury (mTBI). Methods: Sixty-one OEF/OIF/OND Veterans, including Veterans with a self-reported history of blast-related mTBI (mTBI group; n=42) and Veterans without a self-reported history of TBI (control group; n=19) completed the Memory for Intentions Test, a measure of prospective memory (PM), and two measures of retrospective memory (RM), the California Verbal Learning Test-II and the Brief Visuospatial Memory Test-Revised. Results: Veterans in the mTBI group exhibited significantly lower PM performance than the control group, but the groups did not differ in their performance on RM measures. Further analysis revealed that Veterans in the mTBI group with current PTSD (mTBI/PTSD+) demonstrated significantly lower performance on the PM measure than Veterans in the control group. PM performance by Veterans in the mTBI group without current PTSD (mTBI/PTSD-) was intermediate between the mTBI/PTSD+ and control groups, and results for the mTBI/PTSD- group were not significantly different from either of the other two groups. Conclusions: Results suggest that PM performance may be a sensitive marker of cognitive dysfunction among OEF/OIF/OND Veterans with a history of self-reported blast-related mTBI and comorbid PTSD. Reduced PM may account, in part, for complaints of cognitive difficulties in this Veteran cohort, even years post-injury. (JINS, 2018, 24, 324–334)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2017. This is a work of the U.S. Government and is not subject to copyright protection in the United States 

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References

REFERENCES

Altgassen, M., Kliegel, M., & Martin, M. (2009). Event-based prospective memory in depression: The impact of cue focality. Cognition and Emotion, 23(6), 10411055.CrossRefGoogle Scholar
Belanger, H.G., Curtiss, G., Demery, J.A., Lebowitz, B.K., & Vanderploeg, R.D. (2005). Factors moderating neuropsychological outcomes following mild traumatic brain injury: A meta-analysis. Journal of the International Neuropsychological Society, 11(3), 215227.Google Scholar
Belanger, H.G., Kretzmer, T., Yoash-Gantz, R., Pickett, T., & Tupler, L.A. (2009). Cognitive sequelae of blast-related versus other mechanisms of brain trauma. Journal of the International Neuropsychological Society, 15(1), 18.Google Scholar
Belanger, H.G., Spiegel, E., & Vanderploeg, R.D. (2010). Neuropsychological performance following a history of multiple self-reported concussions: A meta-analysis. Journal of the International Neuropsychological Society, 16(2), 262267.CrossRefGoogle ScholarPubMed
Belanger, H.G., & Vanderploeg, R.D. (2005). The neuropsychological impact of sports-related concussion: A meta-analysis. Journal of the International Neuropsychological Society, 11(4), 345357.Google Scholar
Benedict, R. (1997). Brief Visuospatial Memory Test-Revised. Odessa: Psychological Corporation.Google Scholar
Blake, D., Weathers, F., Nagy, L., Kaloupek, D., Klauminzer, G., Charney, D., & Keane, T. (1990). A clinician rating scale for assessing current and lifetime PTSD: The CAPS-1. Behavior Therapist, 13, 187188.Google Scholar
Blake, D.D., Weathers, F.W., Nagy, L.M., Kaloupek, D.G., Gusman, F.D., Charney, D.S., &&Keane, T.M. (1995). The development of a Clinician-Administered PTSD Scale. Journal of Traumatic Stress, 8(1), 7590.Google Scholar
Burgess, P.W., Alderman, N., Forbes, C., Costello, A., Coates, L.M., Dawson, D.R., & Channon, S. (2006). The case for the development and use of “ecologically valid” measures of executive function in experimental and clinical neuropsychology. Journal of the International Neuropsychological Society, 12(2), 194209.Google Scholar
Butcher, J.N., Graham, J.R., Tellegen, A., & Kaemmer, B. (1989). Manual for the restandardized Minnesota Multiphasic Personality Inventory: MMPI-2. Minneapolis: University of Minnesota Press.Google Scholar
Carey, C.L., Woods, S.P., Rippeth, J.D., Heaton, R.K., & Grant, I. (2006). Prospective memory in HIV-1 infection. Journal of Clinical and Experimental Neuropsychology, 28(4), 536548.Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences, Second Edition. New Jersey: Lawrence Erlbaum.Google Scholar
Contardo, C., Black, A.C., Beauvais, J., Dieckhaus, K., & Rosen, M.I. (2009). Relationship of prospective memory to neuropsychological function and antiretroviral adherence. Archives of Clinical Neuropsychology, 24(6), 547554.Google Scholar
Cooper, D.B., Kennedy, J.E., Cullen, M.A., Critchfield, E., Amador, R.R., & Bowles, A.O. (2011). Association between combat stress and post-concussive symptom reporting in OEF/OIF service members with mild traumatic brain injuries. Brain injury, 25(1), 17.Google Scholar
Davenport, N.D., Lim, K.O., Armstrong, M.T., & Sponheim, S.R. (2012). Diffuse and spatially variable white matter disruptions are associated with blast-related mild traumatic brain injury. NeuroImage, 59(3), 20172024.CrossRefGoogle ScholarPubMed
Dawson, D.R., Anderson, N.D., Burgess, P., Cooper, E., Krpan, K.M., & Stuss, D.T. (2009). Further development of the Multiple Errands Test: Standardized scoring, reliability, and ecological validity for the Baycrest version. Archives of Physical Medicine and Rehabilitation, 90(11 Suppl.), S41S51.Google Scholar
Delis, D., & Kramer, J. (2000). California Verbal Learning Test, Second Edition. San Antonio: Psychological Corporation.Google Scholar
Donnelly, K.T., Donnelly, J.P., Dunnam, M., Warner, G.C., Kittleson, C.J., Constance, J.E., & Alt, M. (2011). Reliability, sensitivity, and specificity of the VA traumatic brain injury screening tool. Journal of Head Trauma Rehabilitation, 26, 439453.Google Scholar
Drag, L.L., Spencer, R.J., Walker, S.J., Pangilinan, P.H., & Bieliauskas, L.A. (2012). The contributions of self-reported injury characteristics and psychiatric symptoms to cognitive functioning in OEF/OIF veterans with mild traumatic brain injury. Journal of the International Neuropsychological Society, 18(3), 576584.CrossRefGoogle ScholarPubMed
Etkin, A., Gyurak, A., & O’Hara, R. (2013). A neurobiological approach to the cognitive deficits of psychiatric disorders. Dialogues in Clinical Neuroscience, 15(4), 419429.Google Scholar
Eysenck, M.W., Derakshan, N., Santos, R., & Calvo, M.G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7(2), 336353.CrossRefGoogle ScholarPubMed
Fleming, J.M., Shum, D., Strong, J., & Lightbody, S. (2005). Prospective memory rehabilitation for adults with traumatic brain injury: A compensatory training programme. Brain Injury, 19(1), 110.Google Scholar
Foa, E.B., Hembree, E.A., & Rothbaum, B.O. (2007). Prolonged exposure therapy for PTSD: Emotional processing of traumatic experiences: Therapist guide. Oxford, England: Oxford University Press.Google Scholar
Forbes, D., Creamer, M., & Biddle, D. (2001). The validity of the PTSD checklist as a measure of symptomatic change in combat-related PTSD. Behavior Research and Therapy, 39(8), 977986.Google Scholar
Galarneau, M.R., Woodruff, S.I., Dye, J.L., Mohrle, C.R., & Wade, A.L. (2008). Traumatic brain injury during Operation Iraqi Freedom: Findings from the United States Navy-Marine Corps Combat Trauma Registry. Journal of Neurosurgery, 108(5), 950957.Google Scholar
Gonneaud, J., Rauchs, G., Groussard, M., Landeau, B., Mezenge, F., de La Sayette, V., & Desgranges, B. (2014). How do we process event-based and time-based intentions in the brain? an fMRI study of prospective memory in healthy individuals. Human Brain Mapping, 35(7), 30663082.CrossRefGoogle Scholar
Green, R.E., Melo, B., Christensen, B., Ngo, L.A., Monette, G., & Bradbury, C. (2008). Measuring premorbid IQ in traumatic brain injury: An examination of the validity of the Wechsler Test of Adult Reading (WTAR). Journal of Clinical and Experimental Neuropsychology, 30, 163172.CrossRefGoogle ScholarPubMed
Grundgeiger, T., Bayen, U., & Horn, S. (2014). Effects of sleep deprivation on prospective memory. Memory, 22(6), 679686.Google Scholar
Guskiewicz, K.M., McCrea, M., Marshall, S.W., Cantu, R.C., Randolph, C., Barr, W., & Kelly, J.P. (2003). Cumulative effects associated with recurrent concussion in collegiate football players: The NCAA Concussion Study. Journal of the American Medical Association, 290(19), 25492555.Google Scholar
Hayes, J.P., Miller, D.R., Lafleche, G., Salat, D.H., & Verfaellie, M. (2015). The nature of white matter abnormalities in blast-related mild traumatic brain injury. Neuroimage Clinical, 8, 148156.Google Scholar
Hoge, C.W., McGurk, D., Thomas, J.L., Cox, A.L., Engel, C.C., & Castro, C.A. (2008). Mild traumatic brain injury in U.S. Soldiers returning from Iraq. The New England Journal of Medicine, 358(5), 453463.Google Scholar
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6, 6570.Google Scholar
Hothorn, T., Bretz, F., & Westfall, P. (2008). Simultaneous inference in general parametric models. Biometrical Journal, 50(3), 346363.CrossRefGoogle ScholarPubMed
Johnstone, B., & Frank, R.G. (1995). Neuropsychological assessment in rehabilitation: Current limitations and applications. NeuroRehabilitation, 5(1), 7586.Google Scholar
Jorge, R.E., Acion, L., White, T., Tordesillas-Gutierrez, D., Pierson, R., Crespo-Facorro, B., && Magnotta, V. (2012). White matter abnormalities in Veterans with mild traumatic brain injury. American Journal of Psychiatry, 169(12), 12841291.CrossRefGoogle ScholarPubMed
Kamat, R., Weinborn, M., Kellogg, E.J., Bucks, R.S., Velnoweth, A., & Woods, S.P. (2014). Construct validity of the Memory for Intentions Screening Test (MIST) in healthy older adults. Assessment, 21(6), 742753.Google Scholar
Kay, T. (1993). Neuropsychological treatment of mild traumatic brain injury. The Journal of Head Trauma Rehabilitation, 8, 7485.Google Scholar
Kirschen, M.P., Chen, S.H.A., Schraedley-Desmond, P., & Desmond, J.E. (2005). Load- and practice-dependent increases in cerebro-cerebellar activation in verbal working memory: An fMRI study. NeuroImage, 24(2), 462472.Google Scholar
Kliegel, M., Altgassen, M., Hering, A., & Rose, N.S. (2011). A process-model based approach to prospective memory impairment in Parkinson’s disease. Neuropsychologia, 49(8), 21662177.Google Scholar
Kliegel, M., Martin, M., McDaniel, M., & Einstein, G. (2002). Complex prospective memory and executive control of working memory: A process model. Psychologische Beitrage, 44, 303318.Google Scholar
Kliegel, M., McDaniel, M., & Einstein, G. (2008). Prospective memory. New York: Taylor and Francis.Google Scholar
Kroenke, K., Spitzer, R.L., & Williams, J.B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606613.Google Scholar
Lange, R.T., Brickell, T.A., Ivins, B., Vanderploeg, R.D., & French, L.M. (2013). Variable, not always persistent, postconcussion symptoms after mild TBI in U.S. military service members: A five-year cross-sectional outcome study. Journal of Neurotrauma, 30(11), 958969.CrossRefGoogle ScholarPubMed
Levin, H.S., Wilde, E., Troyanskaya, M., Petersen, N.J., Scheibel, R., Newsome, M., & Li, X. (2010). Diffusion tensor imaging of mild to moderate blast-related traumatic brain injury and its sequelae. Journal of Neurotrauma, 27(4), 683694.Google Scholar
Levin, J.R., Serlin, R.C., & Seaman, M.A. (1994). A controlled, powerful multiple-comparison strategy for several situations. Psychological Bulletin, 115(1), 153159.Google Scholar
Lew, H.L., Otis, J.D., Tun, C., Kerns, R.D., Clark, M.E., & Cifu, D.X. (2009). Prevalence of chronic pain, posttraumatic stress disorder, and persistent postconcussive symptoms in OIF/OEF veterans: Polytrauma clinical triad. Journal of Rehabilitation Research and Development, 46(6), 697702.CrossRefGoogle ScholarPubMed
Ling, J., Campbell, C., Heffernan, T.M., & Greenough, C.G. (2007). Short-term prospective memory deficits in chronic back pain patients. Psychosomatic Medicine, 69(2), 144148.Google Scholar
Lipton, M.L., Gulko, E., Zimmerman, M.E., Friedman, B.W., Kim, M., Gellella, E., & Branch, C.A. (2009). Diffusion-tensor imaging implicates prefrontal axonal injury in executive function impairment following very mild traumatic brain injury. Neuroradiology, 252(3), 816824.Google Scholar
Marshall, A., Heffernan, T., & Hamilton, C. (2016). The synergistic impact of excessive alcohol drinking and cigarette smoking upon prospective memory. Frontiers in Psychiatry, 7, 75.CrossRefGoogle ScholarPubMed
Mathias, J.L., & Mansfield, K.M. (2005). Prospective and declarative memory problems following moderate and severe traumatic brain injury. Brain Injury, 19(4), 271282.Google Scholar
McCrea, M.A. (2008). Mild trauamatic brain injury and postconcussion syndrome: The new evidence base for diagnosis and treatment. New York, NY: Oxford University Press.Google Scholar
McDaniel, M., & Einstein, G. (2000). Strategic and automatic processes in prospective memory retrieval: A multiprocess framework. Applied Cognitive Psychology, 14, S127S144.Google Scholar
McDonald, A., Haslam, C., Yates, P., Gurr, B., Leeder, G., & Sayers, A. (2011). Google calendar: A new memory aid to compensate for prospective memory deficits following acquired brain injury. Neuropsychological Rehabilitation, 21(6), 784807.Google Scholar
Meabon, J.S., Huber, B.R., Cross, D.J., Richards, T.L., Minoshima, S., Pagulayan, K.F., & Cook, D.G. (2016). Repetitive blast exposure in mice and combat veterans causes persistent cerebellar dysfunction. Science Translational Medicine, 8(321), 115.Google Scholar
Millard, S. (2013). EnvStats: An R package for environmental statistics. New York: Springer-Verlag.Google Scholar
Morey, L.C. (2007). The Personality Assessment Inventory professional manual. Lutz, FL: Psychological Assessment Resources.Google Scholar
Niogi, S.N., & Mukherjee, P. (2010). Diffusion tensor imaging of mild traumatic brain injury. Journal of Head Trauma Rehabilitation, 25(4), 241255.Google Scholar
Nelson, N.W., Hoelzle, J.B., Doane, B.M., McGuire, K.A., Ferrier-Auerbach, A.G., Charlesworth, M.J., & Sponheim, S.R. (2012). Neuropsychological outcomes of U.S. Veterans with report of remote blast-related concussion and current psychopathology. Journal of the International Neuropsychological Society, 18(5), 845855.Google Scholar
Nelson, N.W., Hoelzle, J.B., McGuire, K.A., Ferrier-Auerbach, A.G., Charlesworth, M.J., & Sponheim, S.R. (2011). Neuropsychological evaluation of blast-related concussion: Illustrating the challenges and complexities through OEF/OIF case studies. Brain Injury, 25, 511525.Google Scholar
Newcombe, R.G. (1998). Interval estimation for the difference between independent proportions: Comparison of eleven methods. Statistics in Medicine, 17(8), 873890.Google Scholar
Newsome, M.R., Durgerian, S., Mourany, L., Scheibel, R.S., Lowe, M.J., Beall, E.B., & Rao, S.M. (2015). Disruption of caudate working memory activation in chronic blast-related traumatic brain injury. Neuroimage Clinical, 8, 543553.Google Scholar
Newsome, M.R., Mayer, A.R., Lin, X., Troyanskaya, M., Jackson, G.R., Scheibel, R.S., & Levin, H.S. (2016). Chronic effects of blast-related TBI on subcortical functional connectivity in Veterans. Journal of the International Neuropsychological Society, 22, 631642.Google Scholar
O’Neil, M.E., Carlson, K.F., Storzbach, D., Brenner, L.A., Freeman, M., Quinones, A.R., & Kansagara, D. (2014). Factors associated with mild traumatic brain injury in veterans and military personnel: A systematic review. Journal of the International Neuropsychological Society, 20, 249261.Google Scholar
Parsons, T.D. (2015). Virtual reality for enhanced ecological validity and experimental control in the clinical, affective and social neurosciences. Frontiers in Human Neuroscience, 9, 660.Google Scholar
Paxton, J., & Chiaravalloti, N. (2014). Rule monitoring ability predicts event-based prospective memory performance in individuals with TBI. Journal of the International Neuropsychological Society, 20(7), 673683.Google Scholar
Petrie, E.C., Cross, D.J., Yarnykh, V.L., Richards, T., Martin, N.M., Pagulayan, K., & Peskind, E.R. (2014). Neuroimaging, behavioral, and psychological sequelae of repetitive combined blast/impact mild traumatic brain injury in Iraq and Afghanistan war veterans. Journal of Neurotrauma, 31(5), 425436.Google Scholar
Pietrzak, R.H., Goldstein, M.B., Malley, J.C., Rivers, A.J., Johnson, D.C., & Southwick, S.M. (2010). Risk and protective factors associated with suicidal ideation in veterans of Operations Enduring Freedom and Iraqi Freedom. Journal of Affective Disorders, 123(1-3), 102107.Google Scholar
Poquette, A.J., Moore, D.J., Gouaux, B., Morgan, E.E., Grant, I., & Woods, S.P. (2013). Prospective memory and antiretroviral medication non-adherence in HIV: An analysis of ongoing task delay length using the memory for intentions screening test. Journal of the International Neuropsychological Society, 19(2), 155161.Google Scholar
Raskin, S., Buckheit, C., & Sherrod, C. (2010). Memory for intentions test professional manual. Lutz, FL: Psychological Assessment Resources.Google Scholar
Raskin, S., & Sohlberg, M. (2009). Prospective memory intervention: A review and evaluation of a pilot restorative intervention. Brain Impairment, 10, 7686.Google Scholar
Raskin, S. (2009). Memory for Intentsions Screening Test: Psychometric properties and clinical evidence. Brain Impairment, 10(1), 2333.Google Scholar
Raskin, S.A., Buckheit, C.A., & Waxman, A. (2012). Effect of type of cue, type of response, time delay and two different ongoing tasks on prospective memory functioning after acquired brain injury. Neuropsychological Rehabilitation, 22(1), 4064.Google Scholar
R Core Team. (2017). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.Google Scholar
Resick, P., Monson, C., & Chard, K. (2008). Cognitive processing therapy veteran/military version: Therapist and patient materials manual. Washington, DC: Department of Veterans Affairs.Google Scholar
Rohling, M.L., Binder, L.M., Demakis, G.J., Larrabee, G.J., Ploetz, D.M., & Langhinrichsen-Rohling, J. (2011). A meta-analysis of neuropsychological outcome after mild traumatic brain injury: Re-analyses and reconsiderations of Binder et al. (1997), Frencham et al. (2005), and Pertab et al. (2009). The Clinical Neuropsychologist, 25(4), 608623.Google Scholar
Scott, J.C., Woods, S.P., Vigil, O., Heaton, R.K., Schweinsburg, B.C., Ellis, R.J., & San Diego, H.I.V., Neurobehavioral Research Center (HNRC) Group. (2011). A neuropsychological investigation of multitasking in HIV infection: Implications for everyday functioning. Neuropsychology, 25(4), 511519.Google Scholar
Scott, J.C., Woods, S.P., Wrocklage, K.M., Schweinsburg, B.C., Southwick, S.M., & Krystal, J.H. (2016). Prospective Memory in Posttraumatic Stress Disorder. Journal of the International Neuropsychological Society, 22, 111.Google Scholar
Shum, D., Fleming, J., Gill, H., Gullo, M.J., & Strong, J. (2011). A randomized controlled trial of prospective memory rehabilitation in adults with traumatic brain injury. Journal of Rehabilitation Medicine, 43(3), 216223.Google Scholar
Spencer, R.J., Drag, L.L., Walker, S.J., & Bieliauskas, L.A. (2010). Self-reported cognitive symptoms following mild traumatic brain injury are poorly associated with neuropsychological performance in OIF/OEF veterans. Journal of Rehabilitation Research and Development, 47(6), 521530.Google Scholar
Spitzer, R.L., Kroenke, K., & Williams, J.B. (1999). Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. Primary care evaluation of mental disorders. Patient Health Questionnaire. Journal of the American Medical Association, 282(18), 17371744.Google Scholar
Sponheim, S.R., McGuire, K.A., Kang, S.S., Davenport, N.D., Aviyente, S., Bernat, E.M., && Lim, K.O. (2011). Evidence of disrupted functional connectivity in the brain after combat-related blast injury. Neuroimage, 54(Suppl. 1), S21S29.Google Scholar
Storzbach, D., Twamley, E.W., Roost, M.S., Golshan, S., Williams, R.M., O’Neil, M., & Huckans, M. (2017). Compensatory cognitive training for Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn Veterans With Mild Traumatic Brain Injury. The Journal of Head Trauma Rehabilitation, 32, 1624.Google Scholar
Stroupe, K.T., Smith, B.M., Hogan, T.P., & St Andre, J.R. (2013). Healthcare utilization and costs of Veterans screened and assessed for traumatic brain injury. Journal of Rehabilitation Research and Development, 50(8), 10471068.Google Scholar
Tator, C.H., Davis, H.S., Dufort, P.A., Tartaglia, M.C., Davis, K.D., Ebraheem, A., && Hiploylee, C. (2016). Postconcussion syndrome: Demographics and predictors in 221 patients. Journal of Neurosurgery, 125, 12061216.Google Scholar
Tay, S.Y., Ang, B.T., Lau, X.Y., Meyyappan, A., & Collinson, S.L. (2010). Chronic impairment of prospective memory after mild traumatic brain injury. Journal of Neurotrauma, 27(1), 7783.Google Scholar
Taylor, B.C., Hagel, E.M., Carlson, K.F., Cifu, D.X., Cutting, A., Bidelspach, D.E., && Sayer, N.A. (2012). Prevalence and costs of co-occurring traumatic brain injury with and without psychiatric disturbance and pain among Afghanistan and Iraq War Veteran V.A. users. Medical Care, 50(4), 342346.Google Scholar
Terrio, H., Brenner, L.A., Ivins, B.J., Cho, J.M., Helmick, K., Schwab, K., & Warden, D. (2009). Traumatic brain injury screening: Preliminary findings in a US Army Brigade Combat Team. The Journal of Head Trauma Rehabilitation, 24(1), 1423.Google Scholar
Tombaugh, T. (1996). Test of memory malingering. New York: Multi-Health Systems.Google Scholar
Vanderploeg, R.D., Groer, S., & Belanger, H.G. (2012). Initial developmental process of a VA semistructured clinical interview for TBI identification. Journal of Rehabilitation Research and Development, 49, 545556.Google Scholar
Vasterling, J., & Brailey, K. (2005). Neuropsychological findings in adults with PTSD. In J. Vasterling & C. Brewin (Eds.), Neuropsychology of PTSD: Biological, cognitive, and clinical perspectives (pp. 178207). New York, NY: Guilford Press.Google Scholar
Vedhara, K., Wadsworth, E., Norman, P., Searle, A., Mitchell, J., Macrae, N., & Memel, D. (2004). Habitual prospective memory in elderly patients with type 2 diabetes: Implications for medication adherence. Psychology, Health, and Medicine, 9(1).Google Scholar
Verfaellie, M., Lafleche, G., Spiro, A., & Bousquet, K. (2014). Neuropsychological outcomes in OEF/OIF veterans with self-report of blast exposure: Associations with mental health, but not MTBI. Neuropsychology, 28(3), 337346.Google Scholar
Walker, W.C., Cifu, D.X., Hudak, A.M., Goldberg, G., Kunz, R.D., & Sima, A.P. (2015). Structured interview for mild traumatic brain injury after military blast: Inter-rater agreement and development of diagnostic algorithm. Journal of Neurotrauma, 32(7), 464473.Google Scholar
Weathers, F.W., Litz, B.T., Herman, D.S., Huska, J.A., & Keane, T.M. (1993). The PTSD Checklist (PCL): Reliability, validity, and diagnostic utility. Paper presented at the 9th Annual Conference of the ISTSS, San Antonio, TX.Google Scholar
Wechsler, D. (2001). Wechsler Test of Adult Reading Manual. San Antonio: Psychological Corporation.Google Scholar
Woods, S.P., Moran, L.M., Dawson, M.S., Carey, C.L., & Grant, I. (2008). Psychometric characteristics of the memory for intentions screening test. The Clinical Neuropsychologist, 22(5), 864878.Google Scholar
Woods, S.P., Weber, E., Weisz, B.M., Twamley, E.W., & Grant, I. (2011). Prospective memory deficits are associated with unemployment in persons living with HIV infection. Rehabilitation Psychology, 56(1), 7784.Google Scholar
Zhang, L., Heier, L.A., Zimmerman, R.D., Jordan, B., & Ulug, A.M. (2006). Diffusion anisotropy changes in the brains of professional boxers. American Journal of Neuroradiology, 27(9), 20002004.Google Scholar
Zogg, J.B., Woods, S.P., Weber, E., Iudicello, J.E., Dawson, M.S., & Grant, I. (2010). HIV-associated prospective memory impairment in the laboratory predicts failures on a semi-naturalistic measure of health care compliance. The Clinical Neuropsychologist, 24(6), 945962.Google Scholar