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This paper briefly reviews what is unknown about chronic traumatic encephalopathy (CTE), highlights understandable concerns by individuals with a history of mild traumatic brain injuries who present to neuropsychologists with fears about a deteriorating course and eventual dementia due to CTE, and proposes a three-phased model for intervening with such individuals.The proposed model includes three phases - (1) assessment and education, (2) targeted interventions for specific symptoms and comorbidities (e.g., sleep disturbance, headache, depression), and (3) psychotherapy to address mental health issues. While this is generally the order in which they will occur, the approach is not necessarily linear but rather provides a recommended schema.Media attention on concussion has greatly increased in the last several years, as interest in the possible contribution of concussion(s) to CTE grows. This media attention has some adverse effects in that it creates a false perception about the current state of the science and may engender iatrogenic effects. The proposed model is offered as one approach to engage patients within this context.

Objective: Stroke is commonly seen in neuropsychological practice. Individual differences, diffuse damage, and the difficulty inherent in researching stroke create challenges for the clinician trying to synthesize the latest information to educate patients and families on prognosis. The objective of this special issue is to provide an overview of the latest clinical research in stroke - the contributors address assessment and treatment issues that are relevant to practice. Method: We solicited papers from established researchers and issued a general call for papers for the special issue on stroke. Results: We received submissions from several authors, eight of which are included in this issue. These submissions cover both assessment and treatment issues and include two review articles, one on language and one on spatial neglect. Two apparent themes are the utility of early assessment/treatment and the importance of executive functioning in predicting later functioning. Conclusions: The issue highlights the need for clinical neuropsychologists to be aware of the latest research on recovery from stroke and the importance of both assessment and management strategies to reduce impact on daily life.

Objective: Investigate the effectiveness of Concussion Coach, an interactive smartphone application, as a treatment for residual neurobehavioral symptoms and distress in Veterans with a history of mild traumatic brain injury (mild TBI). Methods: Veterans with mild TBI were randomized to Concussion Coach (n = 238) or Treatment-as-Usual (TAU) (n = 241) in a 3-month randomized controlled trial. Primary outcome measures included postconcussive symptom (PCS) severity as measured by the Neurobehavioral Symptom Inventory (NSI), and psychological distress as measured by the Brief Symptom Inventory-18 (BSI-18). Measures of self-efficacy, social support, and comfort with technology were administered as potential moderators and mediators. An intention-to-treat (ITT) analysis was performed (N = 461: Concussion Coach = 231 and TAU = 230) using Bayesian Network (BN)modeling. Results: The probability of decreased PCS severity was significantly greater for those assigned to Concussion Coach, .35 [.32,.37], than for TAU, .29 (.27, .32), with an odds ratio (OR) of 1.29. Also, Concussion Coach showed a significantly greater probability of increased self-efficacy (.36 [.32, .39]) than did TAU (.28 [.25, .30], OR = 1.42). In turn, self-efficacy (increased vs. decreased) showed a significantly greater probability of decreased PCS severity (.51 [.47, .54] vs. .27 [.24, .30], OR = 2.71) and decreased psychological distress (.53 [.49, .56] vs. .32 [.29, .35], OR = 2.35), suggesting that self-efficacy may have mediated Concussion Coach effects. Conclusions: Concussion Coach is effective at reducing PCS severity and psychological distress. Increased self-efficacy/perception of self-management of symptoms may be key to successful treatment of residual symptoms in those with history of concussion.

Objective: The Automated Neuropsychological Assessment Metrics (ANAM) has long been used to assess cognition in military samples before deployment and following injury. The purpose of this study was to explore the effects of various demographic factors on the ANAM4 Military Expanded (ANAM4 ME) performance of Special Operations Forces (SOF) and to provide regression-based normative data for clinicians working with SOF personnel. Method: The sample was a large active duty military sample of SOF and support personnel (n = 24,072) who were tested under a new baseline policy. Results: Performance differences based on demographic variables were generally small. In general, increasing age was associated with significantly worse performance, except on mathematical processing. Higher education level was associated with better performance on most subtests, as expected, but was associated with worse performance on spatial processing. Conclusion: This paper provides regression formulas for calculating adjusted scores based on the most relevant demographic variables, as well as base rates of obtaining one or more clearly above or below average scores across the entire ANAM4 ME battery.

The military has a long history with neuropsychology and its precursors. From developing intelligence tests during World War I, to developing early capacity and personality assessments during World War II, to forward deploying for the evaluation and treatment of frequent concussive brain injuries during more recent conflicts, clinical neuropsychology has been at the forefront of military selection, healthcare and research. The objective of this special issue is to provide an overview of the latest clinical research relevant to military neuropsychology-some contributors address assessment and treatment issues that are relevant to current practice and others foretell the future of our field.We solicited papers from established researchers and issued a general call for papers for the special issue on military neuropsychology. Results: We received submissions from several authors, eleven of which are included in this issue. These submissions cover assessment and treatment issues, as well as healthcare utilization and return to duty issues. Two apparent themes are the importance of assessing, treating, and attending to comorbidities following traumatic brain injury (TBI) and future assessment techniques moving beyond traditional cognitive performance assessment.The issue highlights the importance of research in clinical neuropsychology to the practice and advancement of military neuropsychology.

Objective: The purpose of this study was to examine the prevalence and stability of symptom reporting in a healthy military sample and to develop reliable change indices for two commonly used self-report measures in the military health care system. Participants and method: Participants were 215 U.S. active duty service members recruited from Fort Bragg, NC as normal controls as part of a larger study. Participants completed the Neurobehavioral Symptom Inventory (NSI) and Posttraumatic Checklist (PCL) twice, separated by approximately 30 days. Results: Depending on the endorsement level used (i.e. ratings of ‘mild’ or greater vs. ratings of ‘moderate’ or greater), approximately 2–15% of this sample met DSM-IV symptom criteria for Postconcussional Disorder across time points, while 1–6% met DSM-IV symptom criteria for Posttraumatic Stress Disorder. Effect sizes for change from Time 1 to Time 2 on individual symptoms were small (Cohen’s d = .01 to .13). The test–retest reliability for the NSI total s...

The purpose of this study was to examine the relationship between postconcussion symptom complaint (PCS) severity and positive coping factors (knowledge, self-efficacy, and attributions) in a sample of individuals who have sustained a mild TBI, above and beyond the demographic and psychiatric predictors that have been most commonly examined. Ninety-one people with a history of reported mild TBI were surveyed. Hierarchical regression analyses revealed that demographic variables and psychiatric symptom severity predicted PCS severity. Consistent with our hypotheses, knowledge, self-efficacy, and attributions, when taken together, made an independent and significant contribution to prediction of PCS severity (21% of additional variance). The most potent factor was attribution, or the extent to which one attributes symptoms to mild TBI versus other causes. Those who attribute their symptoms to TBI are more likely to report greater symptom severity overall. Taken together, knowledge, self-efficacy, and attributions contribute independently to PCS severity. Additional research is needed to determine if these factors are amenable to intervention.

The purpose of this study was to examine the prevalence and stability of symptom reporting in a healthy military sample and to develop reliable change indices for two commonly used self-report measures in the military health care system.Participants were 215 U.S. active duty service members recruited from Fort Bragg, NC as normal controls as part of a larger study. Participants completed the Neurobehavioral Symptom Inventory (NSI) and Posttraumatic Checklist (PCL) twice, separated by approximately 30 days.Depending on the endorsement level used (i.e. ratings of 'mild' or greater vs. ratings of 'moderate' or greater), approximately 2-15% of this sample met DSM-IV symptom criteria for Postconcussional Disorder across time points, while 1-6% met DSM-IV symptom criteria for Posttraumatic Stress Disorder. Effect sizes for change from Time 1 to Time 2 on individual symptoms were small (Cohen's d = .01 to .13). The test-retest reliability for the NSI total score was r = .78 and the PCL score was r = .70. An eight-point change in symptom reporting represented reliable change on the NSI total score, with a seven-point change needed on the PCL.Postconcussion-like symptoms are not unique to mild TBI and are commonly reported in a healthy soldier sample. It is important for clinicians to use normative data when evaluating a service member or veteran and when evaluating the likelihood that a change in symptom reporting is reliable and clinically meaningful.

The purpose of this study is to examine the implications of various less-examined psychometric issues in the interpretation of neuropsychological data. Using a dataset of 4371 independent functioning and community-dwelling individuals who underwent neuropsychological evaluations, it was demonstrated that many common measures are not normally distributed. Non-normalized data can lead to erroneously pathological conclusions, particularly on the lower end of negatively skewed distributions. Another issue involves scatter. In line with previous studies, the current study found that approximately 67% of the 4371 participants showed discrepancies of three or more standard deviations between their highest and lowest test scores on 21 measures. However, in contradiction to the existing literature, in the current study mean scatter levels were relatively stable across increasing levels of intelligence. It is argued that this is due to regression to the mean. As an individual moves away from the population average in either direction, scores on other measures will regress from that person's IQ score toward the population mean. The lower a test correlates with IQ, the greater will be the regression toward the mean. Therefore the test battery in question must be considered during the interpretation process, in addition to the individual's premorbid IQ.

This study evaluated the Beery Visual-Motor Integration Test (VMI) as a measure of construction ability in Alzheimer's disease (AD) and mild cognitive impairment (MCI). Construction deficits are an early sign of Alzheimer's disease. Commonly used tests of construction abilities are complex, often intimidating to impaired elders, and lack a range of items. The VMI has items ranging from very easy to difficult, allowing even impaired patients to enter task set, and elderly norms are available. It has not yet been validated for use in diagnosis of AD or MCI. Two patients groups (n = 43 MCI and 40 AD) recruited from a memory clinic and a non-demented control group (n = 43) recruited from the community were administered a battery of neuropsychological measures including the VMI. Results revealed that the VMI is useful for discriminating AD from MCI. Qualitative errors produced on the VMI provide additional information beyond the standard score about the patient's cognitive status.

The Key Behaviors Change Inventory (KBCI) was developed to assess executive, behavioral, and emotional functioning following brain insults and to track the course of recovery. The purpose of this study was to investigate, in an elderly memory disorder clinic sample, the convergent and discriminant validity of the KBCI by examining the relationships between various measures of executive functioning and the KBCI scales that theoretically relate to executive functions. The KBCI was administered to the caregivers of 97 consecutive patients who came to a memory disorders clinic seeking services. The KBCI scales of Inattention, Apathy, Unawareness of Problems, and Communication Problems were significantly correlated with cognitive measures of executive functioning but not with measures of memory, visuospatial abilities or global cognitive functioning. In contrast, KBCI scales of Interpersonal Difficulties, Somatic Difficulties, and Emotional Adjustment were not related to any cognitive measures, either executive or nonexecutive. Contrary to predicted findings, the Impulsivity Scale was not associated with cognitive measures of executive functioning. This lack of relationship most likely reflects the failure to include executive measures of orbitofrontal functioning in this study. Results provide convergent and discriminant validity support for the KBCI. The KBCI may be a useful tool for assessing and tracking the executive, behavioral, and emotional sequelae of neurologic disorders.

The Neurobehavioral Symptom Inventory (NSI) is a self-report measure of symptoms commonly associated with Post-Concussion Syndrome (PCS) that may emerge after mild traumatic brain injury (mTBI). Despite frequent clinical use, no NSI norms have been developed. Thus, the main objective of this study was to establish NSI normative data using the four NSI factors (i.e., vestibular, somatic, cognitive, and affective) identified by Vanderploeg, Silva, et al. ( 2014 ) among nonclinical epidemiological samples of deployed and non-deployed Florida National Guard members as well as a reference sample of Guard members with combat-related mTBI. In addition, NSI subscale profile patterns were compared across four distinct subgroups (i.e., non-deployed-nonclinical, deployed-nonclinical, deployed-mTBI, and deployed-PTSD). The deployed-nonclinical group endorsed greater PCS symptom severity than the non-deployed group, and the mTBI group uniformly endorsed more symptoms than both nonclinical groups. However, the PTSD group endorsed higher symptom severity relative to the other three subgroups. As such, this highlights the non-specificity of PCS symptoms and suggests that PTSD is associated with higher symptom endorsement than mTBI.

The history of centralized matches for postgraduate selection is briefly discussed with a focus on the match instituted by the Association of Postdoctoral Programs in Clinical Neuropsychology (APPCN) in 2001] Survey data, conducted both by APPCN and independently, are summarized. In general, despite incomplete participation and an estimated 30% rate of "exploding offers", applicants are somewhat satisfied with the match according to recent surveys (although satisfaction varies depending on whether an applicant matched). Given the high rate of withdrawal, the history of other specialties with suboptimal participation, and the concerns most commonly expressed by participants about this issue in survey data, there is cause for concern. We assert that incomplete participation in the match hurts applicants and programs. We propose that focused efforts are needed involving multiple organizations to enhance the match, including the Clinical Neuropsychology Synarchy (CNS) as our specialty council and the multiple organizations represented on the CNS.

This study is a meta-analysis of available literature examining the effect of an observer on cognitive task performance. Of the 210 identified relevant articles, 62 met inclusion criteria yielding a final sample with 4405 individuals (2496 observed cases, 1909 not observed). The overall effect size was significant (d=-0.24), i.e., the presence of an observer was associated with poorer performance. However results were moderated by the effect size calculation method, cognitive domain, visibility of the observer, and number of observers. Attention, learning/memory, and delayed recall tasks were most adversely impacted by the presence of an observer.

Patients with a reported history of mild traumatic brain injury (mild TBI) due to blast (n = 298) or non-blast (n = 92) mechanisms were asked to complete the Neurobehavioral Symptom Inventory (NSI) and the Post-traumatic Stress Disorder Checklist (PCL). Mechanism of injury did not account for a significant amount of variance in post-concussion symptom reporting overall, nor did severity of mild TBI (i.e., brief loss of consciousness versus only an alteration of consciousness). Symptom reporting was greater in those injured more than 1 month ago compared to those injured less than 1 month ago and in those reporting higher levels versus lower levels of PTSD symptoms. When examining specific symptoms, the only symptom that significantly varied between groups was hearing difficulty (with the blast-injured group reporting more severe difficulty with hearing). Findings suggest that greater symptom reporting is most strongly related to emotional distress.