Current Advances in Computerized Cognitive Assessment for Mild Cognitive Impairment and Dementia in Older Adults: A Systematic Review.

INTRODUCTION: Timely detection of cognitive impairment such as mild cognitive impairment (MCI) or dementia is pivotal in initiating early interventions to improve patients' quality of life. Conventional paper-pencil tests, though common, have limited sensitivity in detecting subtle cognitive changes. Computerized assessments offer promising alternatives, overcoming time and manual scoring constraints while potentially providing greater sensitivity. METHODS: A literature search yielded 26 eligible articles (2020-2023). The articles were reviewed according to PRISMA guidelines, and the computerized tools were categorized by diagnostic outcome (MCI, dementia, combined). RESULTS: The subjects included in the studies were aged 55-77 years. The overall gender distribution comprised 60% females and 40% males. The sample sizes varied considerably from 22 to 4,486. Convergent validity assessments in 20 studies demonstrated strong positive correlations with traditional tests. Overall classification accuracy in detecting MCI or dementia, distinguishing from normal cognition (NC), reached up to 91%. Impressively, 46% of the studies received high-quality ratings, underscoring the reliability and validity of the findings. CONCLUSION: The review highlights the advancements in computerized cognitive assessments for assessing MCI and dementia. This shift toward technology-based assessments could enhance detection capabilities and facilitate timely interventions for better patient outcomes.

Verbal and non-verbal recognition memory assessment: validation of a computerized version of the Recognition Memory Test.

BACKGROUND: The use of computerized devices for neuropsychological assessment (CNADs) as an effective alternative to the traditional pencil-and-paper modality has recently increased exponentially, both in clinical practice and research, especially due to the pandemic. However, several authors underline that the computerized modality requires the same psychometric validity as "in-presence" tests. The current study aimed at building and validating a computerized version of the verbal and non-verbal recognition memory test (RMT) for words, unknown faces and buildings. METHODS: Seventy-two healthy Italian participants, with medium-high education and ability to proficiently use computerized systems, were enrolled. The sample was subdivided into six groups, one for each age decade. Twelve neurological patients with mixed aetiology, age and educational level were also recruited. Both the computerized and the paper-and-pencil versions of the RMT were administered in two separate sessions. RESULTS: In healthy participants, the computerized and the paper-and-pencil versions of the RMT showed statistical equivalence for words, unknown faces and buildings. In the neurological patients, no statistical difference was found between the performance at the two versions of the RMT. A moderate-to-good inter-rater reliability between the two versions was also found in both samples. Finally, the computerized version of the RMT was perceived as acceptable by both healthy participants and neurological patients at System Usability Scale (SUS). CONCLUSION: The computerized version of the RMT can be used as a reliable alternative to the traditional version.

RETRACTED - Intra-individual Cognitive Variability: An Examination of ANAM4 TBI-MIL Simple Reaction Time Data from Service Members with and without Mild Traumatic Brain Injury.

Objectives: The Automated Neuropsychological Assessment Metrics 4 TBI-MIL (ANAM4) is a computerized cognitive test often used in post-concussion assessments with U.S. service members (SMs). Existing evidence, however, remains mixed regarding ANAM4's ability to identify cognitive issues following mild traumatic brain injury (mTBI). Studies typically examine ANAM4 by comparing mean scores to baseline or normative scores. A more fine-grained approach involves examining inconsistency within an individual's performance. Methods: Data from a sample of 231 were healthy control SMs and 100 SMs within 7 days of mTBI who took the ANAM4 were included in analyses. We examine each individual's performance on a simple reaction time (SRT) subtest that is administered at the beginning (SRT1) and end (SRT2) of the ANAM4 battery, and calculate the standard deviation of difference scores by trial across administrations. Results: Multivariate analysis of variance and univariate analyses revealed group differences across all comparisons (p<.001) with pairwise comparisons revealing higher intra-individual variability and slower raw reaction time for the mTBI group compared with controls. Effect sizes were small though exceeded the recommended minimum practical effect size (ES>0.41). Conclusions: While inconsistencies in performance are often viewed as noise or test error, the results suggest intra-individual cognitive variability may be more sensitive than central tendency measures (i.e., comparison of means) in detecting changes in cognitive function in mTBI. Additionally, the findings highlight the utility of ANAM4's repeating a subtest at two points in a battery to explore within-subject differences in performance. (JINS, 2017, 23, 1-6).

Validation of a digital, tablet-based version of the Trail Making Test in the ∆elta platform.

Using digital technology for neuropsychological assessment is gaining popularity in both clinical and research settings. Digital neuropsychology offers many benefits over the traditional paper-pencil assessments; however, their comparability requires further validation. The aim of this study was to compare a digital, tablet-based Trail Making Test to the standard paper version. In a within-subject design, 108 healthy adults completed both digital and paper Trail Making Test in a counterbalanced order. Each participant also performed other tasks measuring core executive abilities (inhibition, working memory, and flexibility) on the tablet. Our findings indicated that the Trail Making Test performance on the two different modalities correlated significantly. Furthermore, correlations of Trail Making Test performance with other cognitive tasks revealed that digital Trail Making Test is comparable with the paper version. However, the modality had a significant effect on Trail Making Test performance; that is, participants were generally faster on the digital platform. Taken together, our findings suggest that with new normative data, traditional Trail Making Test can be adapted successfully to a digital platform.

A Game-Based Rehabilitation System for Upper-Limb Cerebral Palsy: A Feasibility Study.

Game-based rehabilitation systems provide an effective tool to engage cerebral palsy patients in physical exercises within an exciting and entertaining environment. A crucial factor to ensure the effectiveness of game-based rehabilitation systems is to assess the correctness of the movements performed by the patient during the game-playing sessions. In this study, we propose a game-based rehabilitation system for upper-limb cerebral palsy that includes three game-based exercises and a computerized assessment method. The game-based exercises aim to engage the participant in shoulder flexion, shoulder horizontal abduction/adduction, and shoulder adduction physical exercises that target the right arm. Human interaction with the game-based rehabilitation system is achieved using a Kinect sensor that tracks the skeleton joints of the participant. The computerized assessment method aims to assess the correctness of the right arm movements during each game-playing session by analyzing the tracking data acquired by the Kinect sensor. To evaluate the performance of the computerized assessment method, two groups of participants volunteered to participate in the game-based exercises. The first group included six cerebral palsy children and the second group included twenty typically developing subjects. For every participant, the computerized assessment method was employed to assess the correctness of the right arm movements in each game-playing session and these computer-based assessments were compared with matching gold standard evaluations provided by an experienced physiotherapist. The results reported in this study suggest the feasibility of employing the computerized assessment method to evaluate the correctness of the right arm movements during the game-playing sessions.

Computer-assisted psychological assessment and psychotherapy for collegians.

OBJECTIVE: This article reviews research on computerized and computer-assisted psychological assessment and psychotherapy for college and university students. METHOD: Published reviews of outcome research on the topic are reviewed, along with individual clinical trials and other relevant studies not covered by reviews, as well as reviews of closely-related research. RESULTS: Computer-assisted assessment and psychotherapy have proven effective with collegians across samples, nations, and presenting concerns. CONCLUSIONS: Currently-available digital technologies can address these mental health service delivery challenges: cost, limited human resources, failure of students to seek help, stigmatization of collegians seeking help, premature termination, inadequate process and outcome data to assess and improve treatment effectiveness, and lack of real-time data-based treatment selection.

Intraindividual Cognitive Variability: An Examination of ANAM4 TBI-MIL Simple Reaction Time Data from Service Members with and without Mild Traumatic Brain Injury.

OBJECTIVES: The Automated Neuropsychological Assessment Metrics 4 TBI-MIL (ANAM4) is a computerized cognitive test often used in post-concussion assessments with U.S. service members (SMs). However, existing evidence remains mixed regarding ANAM4's ability to identify cognitive issues following mild traumatic brain injury (mTBI). Studies typically examine ANAM4 using standardized scores and/ or comparisons to a baseline. A more fine-grained approach involves examining inconsistency within an individual's performance (i.e., intraindividual variability). METHODS: Data from 237 healthy control SMs and 105 SMs within seven days of mTBI who took the ANAM4 were included in analyses. Using each individual's raw scores on a simple reaction time (RT) subtest (SRT1) that is repeated at the end of the battery (SRT2), we calculated mean raw RT and the intraindividual standard deviation (ISD) of trial-by-trial RT. Analyses investigated differences between groups in mean RT, RT variability (i.e., ISD), and change in ISD from SRT1 and SRT2. RESULTS: Using regression residuals to control for demographic variables, analysis of variance, and pairwise comparisons revealed the control group had faster mean RT and smaller ISD compared to the mTBI group. Furthermore, the mTBI group had a significant increase in ISD from SRT1 to SRT2, with effect sizes exceeding the minimum practical effect for comparisons of ISD in SRT2 and change in ISD from SRT1 to SRT2. CONCLUSIONS: While inconsistencies in performance are often viewed as test error, the results suggest intraindividual cognitive variability may be more sensitive than traditional metrics in detecting changes in cognitive function after mTBI. Additionally, the findings highlight the utility of the ANAM4's repeating a RT subtest at two points in the same session for exploring within-subject differences in performance variability. (JINS, 2018, 24, 156-162).

Canadian adaptation of the Newest Vital Sign©, a health literacy assessment tool.

OBJECTIVE: The Newest Vital Sign© (NVS) was developed in the USA to measure patient health literacy in clinical settings. We adapted the NVS for use in Canada, in English and French, and created a computerized version. Our objective was to evaluate the reliability of the Canadian NVS as a self-administered computerized tool. DESIGN: We used a randomized crossover design with a washout period of 3-4 weeks to compare health literacy scores obtained using the computerized version with scores obtained using the standard interviewer-administered NVS. ANOVA models and McNemar's tests assessed differences in outcomes assessed with each version of the NVS and order effects of the testing. SETTING: Participants were recruited from multicultural catchment areas in Ontario and Nova Scotia. SUBJECTS: English- and French-speaking adults aged 18 years or older. RESULTS: A total of 180 (81 %) of the 222 adults (112 English/110 French) initially recruited completed both the interviewer-NVS and computer-NVS. Scores for those who completed both assessments ranged from 0 to 6 with a mean of 3·63 (sd 2·11) for the computerized NVS and 3·41 (sd 2·21) for the interview-administered NVS. Few (n 18; seven English, eleven French) participants' health literacy assessments differed between the two versions. CONCLUSIONS: Overall, the computerized Canadian NVS performed as well as the interviewer-administered version for assessing health literacy levels of English- and French-speaking participants. This Canadian adaptation of the NVS provides Canadian researchers and public health practitioners with an easily administered health literacy assessment tool that can be used to address the needs of Canadians across health literacy levels and ultimately improve health outcomes.

Neuropsychological Assessment: Past and Future.

Neuropsychological assessment tools are the staple of our field. The development of standardized metrics sensitive to brain-behavior relationships has shaped the neuropsychological questions we can ask, our understanding of discrete brain functions, and has informed the detection and treatment of neurological disorders. We identify key turning points and innovations in neuropsychological assessment over the past 40-50 years that highlight how the tools used in common practice today came to be. Also selected for emphasis are several exciting lines of research and novel approaches that are underway to further probe and characterize brain functions to enhance diagnostic and treatment outcomes. We provide a brief historical review of different clinical neuropsychological assessment approaches (Lurian, Flexible and Fixed Batteries, Boston Process Approach) and critical developments that have influenced their interpretation (normative standards, cultural considerations, longitudinal change, common metric batteries, and translational assessment constructs). Lastly, we discuss growing trends in assessment including technological advances, efforts to integrate neuropsychology across disciplines (e.g., primary care), and changes in neuropsychological assessment infrastructure. Neuropsychological assessment has undergone massive growth in the past several decades. Nonetheless, there remain many unanswered questions and future challenges to better support measurement tools and translate assessment findings into meaningful recommendations and treatments. As technology and our understanding of brain function advance, efforts to support infrastructure for both traditional and novel assessment approaches and integration of complementary brain assessment tools from other disciplines will be integral to inform brain health treatments and promote the growth of our field. (JINS, 2017, 23, 778-790).

Utility of a brief computerized battery to assess HIV-associated neurocognitive impairment in a resource-limited setting.

Despite the persistently high prevalence of neurocognitive impairment in HIV-positive patients, routine HIV care in many resource-limited settings does not include neuropsychological assessment. The objective of this study was to examine the utility of a brief computerized battery for identifying neurocognitive impairment in a busy HIV clinic in Uganda. Specifically, we compared performance on a gold standard neuropsychological exam to that on the CogState Brief Battery. In this cross-sectional study, 181 HIV-positive patients completed both assessment batteries in a randomized order. The primary outcome measures were neurocognitive impairment on the standard exam defined by the global deficit score and cumulative performance on the CogState Brief Battery. Sixty-nine participants (38 %) were classified as impaired on the standard neuropsychological exam, and participants who were classified as impaired performed significantly worse on CogState compared to those who were unimpaired (p < 0.001). CogState had adequate specificity but low sensitivity, suggesting that it may not be a clinically useful screening tool to identify patients who likely have neurocognitive impairment in Uganda. This study supports the feasibility of using a computerized battery for assessing neurocognitive impairment in HIV-positive patients in resource-limited settings, but additional research is needed to identify screening tools with higher sensitivity for use in HIV clinics.

Neuropsychological Assessment Following Concussion: an Evidence-Based Review of the Role of Neuropsychological Assessment Pre- and Post-Concussion.

Neuropsychological evaluation is one component of a comprehensive and multifaceted assessment following concussion. Although some neuropsychologists use a "hybrid" assessment approach integrating computerized neurocognitive testing batteries with traditional paper and pencil tests, computerized neurocognitive test batteries are the predominant testing modality for assessment of athletes from the youth to professional level. This review summarizes the most recent research supporting the utility of neuropsychological evaluation and highlights the strengths and weaknesses of both computerized and traditional neuropsychological testing approaches. The most up to date research and guidelines on baseline neurocognitive testing is also discussed. This paper addresses concerns regarding reliability of neuropsychological testing while providing an overview of factors that influence test performance, both transient situational factors (e.g., pain level, anxiety) and characteristics of particular subgroups (e.g., age, preexisting learning disabilities), warranting the expertise of an experienced neuropsychologist for interpretation. Currently, research is moving forward by integrating neuropsychological evaluation with emerging assessment approaches for other domains of brain function (e.g., vestibular function) vulnerable to concussion.

Factors shaping e-feedback utilization following electronic Objective Structured Clinical Examinations.

The development of student-practitioners' practical clinical skills is essential in health professional education. Objective Structured Clinical Examinations are central to the assessment of students performing clinical procedures on simulated patients (actors). While feedback is considered core to learning providing timely, individualised student OSCE feedback is difficult. This study explored the perceptions of students about the multiple factors which shape the utility of e-feedback following an electronic Objective Structured Clinical Examinations, which utilized iPad and specialised software. The e-feedback was trialled in four courses within occupational therapy and physiotherapy pre-professional programs with a cohort of 204 students. Evaluation of student perceptions about feedback was collected using two surveys and eight focus groups. This data showed three factors shaped perceptions of the utility of e- Objective Structured Clinical Examinations feedback: 1) timely accessibility within one day of the assessment, 2) feedback demonstrating examiners' academic literacy and 3) feedback orientated to ways of improving future performance of clinical skills. The study found training in the provision of feedback using IPads and software is needed for examiners to ensure e-feedback meets students' needs for specific, future-oriented e-feedback and institutional requirements for justification of grades.

The Monkey game: A computerized verbal working memory task for self-reliant administration in primary school children.

In two studies, the psychometric properties of an online self-reliant verbal working memory task (the Monkey game) for primary school children (6-12 years of age) were examined. In Study 1, children (n = 5,203) from 31 primary schools participated. The participants completed computerized verbal and visual-spatial working memory tasks (i.e., the Monkey game and the Lion game) and a paper-and-pencil version of Raven's Standard Progressive Matrices. Reading comprehension and math achievement test scores were obtained from the schools. First, the internal consistency of the Monkey game was examined. Second, multilevel modeling was used to examine the effects of classroom membership. Multilevel multivariate regression analysis was used to examine the Monkey game's concurrent relationship with the Lion game and its predictive relationships with reading comprehension and math achievement. Also, age-related differences in performance were examined. In Study 2, the concurrent relationships between the Monkey game and two tester-led computerized working memory tasks were further examined (n = 140). Also, the 1- and 2-year stability of the Monkey game was investigated. The Monkey game showed excellent internal consistency, good concurrent relationships with the other working memory measures, and significant age differences in performance. Performance on the Monkey game was also predictive of subsequent reading comprehension and mathematics performance, even after controlling for individual differences in intelligence. Performance on the Monkey game was influenced by classroom membership. The Monkey game is a reliable and suitable instrument for the online computerized and self-reliant assessment of verbal working memory in primary school children.

Computerized assessment of executive functioning: Validation of the CNS Vital Signs executive functioning scores in a sample of community-dwelling older adults.

Objective: Computerized assessment of cognitive functioning has gained significant popularity over recent years, yet options for clinical assessment of executive functioning (EF) are lacking. One computerized testing platform, CNS Vital Signs (CNS-VS), offers tests designed to measure EF but requires further validation. The goal of the present study was to validate CNS-VS executive scores against standard clinical measures of EF. We also sought to determine whether a modified CNS-VS composite score that included variables purported to measure inhibition, switching, and working memory would outperform the currently available CNS-VS Executive Function Index. Method: A sample of 73 cognitively healthy older adults completed four tests from the Delis-Kaplan Executive Function System, the Digit Span subtest from the Wechsler Adult Intelligence Scale-fourth edition, and three CNS-VS tasks purported to measure inhibition, switching, and working memory. Results: Performances on the CNS-VS tests were predicted by performances on standard paper-and-pencil measures. Although the currently available CNS-VS Executive Function Index predicted unique variance in a well-validated paper-and-pencil EF composite score, our Modified CNS-VS EF composite accounted for unique variance above and beyond the original CNS-VS Executive Function Index, while the reverse was not true. Conclusions: The present results support the construct validity of CNS-VS EF tests but also suggest that modifications to their current composite scores would improve the prediction of EF performance.

Measuring Multidimensional Aspects of Health in the Oldest Old Using the NIH Toolbox: Results From the ARMADA Study.

OBJECTIVE: The percentage of older adults living into their 80s and beyond is expanding rapidly. Characterization of typical cognitive performance in this population is complicated by a dearth of normative data for the oldest old. Additionally, little attention has been paid to other aspects of health, such as motor, sensory, and emotional functioning, that may interact with cognitive changes to predict quality of life and well-being. The current study used the NIH Toolbox (NIHTB) to determine age group differences between persons aged 65-84 and 85+ with normal cognition. METHOD: Participants were recruited in two age bands (i.e., 65-84 and 85+). All participants completed the NIHTB Cognition, Motor, Sensation, and Emotion modules. Independent-samples t-tests determined age group differences with post-hoc adjustments using Bonferroni corrections. All subtest and composite scores were then regressed on age and other demographic covariates. RESULTS: The 65-84 group obtained significantly higher scores than the 85+ group across all cognitive measures except oral reading, all motor measures except gait speed, and all sensation measures except pain interference. Age remained a significant predictor after controlling for covariates. Age was not significantly associated with differences in emotion scores. CONCLUSIONS: Results support the use of the NIHTB in persons over 85 with normal cognition. As expected, fluid reasoning abilities and certain motor and sensory functions decreased with age in the oldest old. Inclusion of motor and sensation batteries is warranted when studying trajectories of aging in the oldest old to allow for multidimensional characterization of health.

An evaluation of computerized attention and executive function measures for use with school age children with neurofibromatosis type 1.

The present study investigated the performance of children with neurofibromatosis type 1 on computerized assessments of attention and executive function. Relations to ADHD symptomatology were also examined. Participants included 37 children (20 male) with NF1 (9-13 years; Mage = 11.02). Participants completed the NIH Toolbox Dimensional Change Card Sort, List Sort Working Memory (LSWM), and Flanker tasks, as well as Cogstate Identification and One Back tests. ADHD symptomatology was assessed using the K-SADS. Average performance was significantly different from the normative mean on every measure, except LSWM. The NIH Toolbox Flanker and Cogstate Identification tasks detected the highest proportion of participants with at least mild difficulty, and the Cogstate Identification task detected the highest proportion of participants with severe difficulty. Analyses revealed significant relations with ADHD symptomatology for two NIH toolbox tasks. The various computerized measures of attention and executive function offer different information when working with school age children with NF1. The NIH Flanker may offer the most room for change and offers face validity, which may be beneficial for clinical trials research. However, the LSWM shows most support for relations with behavioral indicators of attention and executive challenges.

Influence of social determinants of health and adversity on computerized neurocognitive assessment.

Introduction: Social determinants of health and adversity, including poverty, maltreatment, and neighborhood deprivation, are individual-level factors that may significantly affect baseline neurocognitive testing and management that have yet to be thoroughly explored within the computerized neurocognitive assessment.Objectives: Examine individual-level experiences of poverty, abuse, neighborhood deprivation, and social mobility on computerized cognitive testing.Methods: The sample included 3,845 student-athletes who completed a baseline Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) and were enrolled in the Child-Household Integrated Longitudinal Data database. Multivariable linear regressions were used to assess independent variables of Supplemental Nutrition Assistance Program enrollment, abuse or neglect cases, Area Deprivation Index scores, and other demographic factors on four baseline ImPACT composite scores: verbal and visual memory, visuomotor, and reaction time.Results: Individual-level factors of persistent poverty and neighborhood deprivation were associated with lower composite scores; however, upward social mobility was not significantly associated with cognitive performance. The effects of mother's race on computerized cognitive testing performance were attenuated when accounting for measures of adversity.Conclusion: Findings highlight the importance of social determinants of health in computerized neurocognitive testing to ensure more culturally sensitive and precise understanding of athletic baselines.

FACEmemory®, an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants.

BACKGROUND: The FACEmemory® online platform comprises a complex memory test and sociodemographic, medical, and family questions. This is the first study of a completely self-administered memory test with voice recognition, pre-tested in a memory clinic, sensitive to Alzheimer's disease, using information and communication technologies, and offered freely worldwide. OBJECTIVE: To investigate the demographic and clinical variables associated with the total FACEmemory score, and to identify distinct patterns of memory performance on FACEmemory. METHODS: Data from the first 3,000 subjects who completed the FACEmemory test were analyzed. Descriptive analyses were applied to demographic, FACEmemory, and medical and family variables; t-test and chi-square analyses were used to compare participants with preserved versus impaired performance on FACEmemory (cut-off = 32); multiple linear regression was used to identify variables that modulate FACEmemory performance; and machine learning techniques were applied to identify different memory patterns. RESULTS: Participants had a mean age of 50.57 years and 13.65 years of schooling; 64.07% were women, and 82.10% reported memory complaints with worries. The group with impaired FACEmemory performance (20.40%) was older, had less schooling, and had a higher prevalence of hypertension, diabetes, dyslipidemia, and family history of neurodegenerative disease than the group with preserved performance. Age, schooling, sex, country, and completion of the medical and family history questionnaire were associated with the FACEmemory score. Finally, machine learning techniques identified four patterns of FACEmemory performance: normal, dysexecutive, storage, and completely impaired. CONCLUSIONS: FACEmemory is a promising tool for assessing memory in people with subjective memory complaints and for raising awareness about cognitive decline in the community.

Unpacking the NIH Toolbox Emotion Battery in Persons With Parkinson's disease.

OBJECTIVE: Examine the relationship between the National Institutes of Health Toolbox Emotion Battery (Emotion Toolbox) and traditional measures in Parkinson's disease (PD). METHOD: Persons with PD (n = 30) and cognitively healthy older adults (OA; n = 40) completed the Emotion Toolbox consisting of Well-Being, Negative Affect, and Social Satisfaction scores along with traditional measures of depression (Beck Depression Inventory-II [BDI-II]), anxiety (State-Trait Anxiety Inventory [STAI]), and apathy (Apathy Scale [AS]); total raw scores). RESULTS: Separate bootstrapped analyses of covariance indicated that the PD group scored higher on BDI-II and STAI-State compared to OA (ps < .01); groups did not differ on Emotion Toolbox. In the PD group, bootstrapped partial correlations indicated that Negative Affect was positively related to BDI-II and STAI (ps ≤ .001). Social Satisfaction was negatively related to BDI-II and STAI-Trait (.05 < ps < .004). Psychological Well-Being was negatively related to BDI-II, AS, and STAI (p < .004). No relationships emerged in OA. In the PD group, separate binary logistic regressions showed that traditional measures (BDI-II, AS, and STAI-Trait) correctly classified 79.6% those with formal psychiatric diagnoses (presence vs. absence; p < .011), whereas Emotion Toolbox measures correctly classified 73.3% (p < .019). CONCLUSIONS: The Emotion Toolbox showed moderate-strong correlations with traditional measures in persons with PD. Even so, it did not capture the group differences between PD and OA and had a somewhat lower classification accuracy rate for persons with PD who had a formal psychiatric diagnosis than traditional measures. Together, findings question the utility of the Emotion Toolbox as a stand-alone emotion screener in PD.

Innovations in Neuropsychology: Future Applications in Neurosurgical Patient Care.

Over the last century, collaboration between clinical neuropsychologists and neurosurgeons has advanced the state of the science in both disciplines. These advances have provided the field of neuropsychology with many opportunities for innovation in the care of patients prior to, during, and following neurosurgical intervention. Beyond giving a general overview of how present-day advances in technology are being applied in the practice of neuropsychology within a neurological surgery department, this article outlines new developments that are currently unfolding. Improvements in remote platform, computer interface, "real-time" analytics, mobile devices, and immersive virtual reality have the capacity to increase the customization, precision, and accessibility of neuropsychological services. In doing so, such innovations have the potential to improve outcomes and ameliorate health care disparities.