17 results
52 Bayesian Logistic Regression Bias Adjustment for Data Observed without a Gold Standard: A Simulation Study of Clinical Alzheimer’s Disease
- William F Goette, Hudaisa Fatima, Jeff Schaffert, Anne R Carlew, Heidi Rossetti, Laura H Lacritz, C. Munro Cullum
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 259-260
-
- Article
-
- You have access Access
- Export citation
-
Objective:
Definitive diagnosis of Alzheimer’s disease (AD) is often unavailable, so clinical diagnoses with some degree of inaccuracy are often used in research instead. When researchers test methods that may improve clinical accuracy, the error in initial diagnosis can penalize predictions that are more accurate to true diagnoses but differ from clinical diagnoses. To address this challenge, the current study investigated the use of a simple bias adjustment for use in logistic regression that accounts for known inaccuracy in initial diagnoses.
Participants and Methods:A Bayesian logistic regression model was developed to predict unobserved/true diagnostic status given the sensitivity and specificity of an imperfect reference. This model considers cases as a mixture of true (with rate = sensitivity) and false positives (rate = 1 - specificity) while controls are mixtures of true (rate = specificity) and false negatives (rate = 1 - sensitivity). This bias adjustment was tested using Monte Carlo simulations over four conditions that varied the accuracy of clinical diagnoses. Conditions utilized 1000 iterations each generating a random dataset of n = 1000 based on a true logistic model with an intercept and three arbitrary predictors. Coefficients for parameters were randomly selected in each iteration and used to produce a set of two diagnoses: true diagnoses and observed diagnoses with imperfect accuracy. Sensitivity and specificity of the simulated clinical diagnosis varied with each of the four conditions (C): C1 = (0.77, 0.60), C2 = (0.87, 0.44), C3 = (0.71, 0.71), and C4 = (0.83, 0.55), which are derived from published values for clinical AD diagnoses against autopsy-confirmed pathology. Unadjusted and bias-adjusted logistic regressions were then fit to the simulated data to determine the models’ accuracy in estimating regression parameters and prediction of true diagnosis.
Results:Under all conditions, the bias-adjusted logistic regression model outperformed its unadjusted counterpart. Root mean square error (the variability of estimated coefficients around their true parameter values) ranged from 0.23 to 0.79 for the unadjusted model versus 0.24 to 0.29 for the bias-adjusted model. The empirical coverage rate (the proportion of 95% credible intervals that include their true parameter) ranged from 0.00 to 0.47 for the unadjusted model versus 0.95 to 0.96 for the bias-adjusted model. Finally, the bias-adjusted model produced the best overall diagnostic accuracy with correct classification of true diagnostic values about 78% of the time versus 62-72% without adjustment.
Conclusions:Results of this simulation study, which used published AD sensitivity and specificity statistics, provide evidence that bias-adjustments to logistic regression models are needed when research involves diagnoses from an imperfect standard. Results showed that unadjusted methods rarely identified true effects with credible intervals for coefficients including the true value anywhere from never to less than half of the time. Additional simulations are needed to examine the bias-adjusted model’s performance under additional conditions. Future research is needed to extend the bias adjustment to multinomial logistic regressions and to scenarios where the rate of misdiagnosis is unknown. Such methods may be valuable for improving detection of other neurological disorders with greater diagnostic error as well.
87 Not Normal but not MCI: Course of Memory over time
- Michael Conley, Jeff Schaffert, Anthony Longoria, Jessica Helphrey, C Munro Cullum, Laura Lacritz
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 389-390
-
- Article
-
- You have access Access
- Export citation
-
Objective:
A diagnosis of mild cognitive impairment (MCI) requires memory complaint and objective memory impairment. However, some individuals report subjective memory complaints (SMC) despite having intact memory performance, while others demonstrate subtle impairment on memory testing but have no memory complaints; neither case would meet criteria for MCI. This study aimed to compare memory performances over time in individuals who do not meet traditional MCI criteria to those with normal cognition and those who converted to MCI.
Participants and Methods:Diagnoses for a longitudinal sample from the Texas Alzheimer’s Research and Care Consortium were reviewed by a consensus panel of neuropsychologists and neurologists and reclassified at time of last visit. Diagnostic categories included SMC (i.e., memory complaint but no impairment on testing), objective cognitive impairment but no complaint (Impaired but not MCI), normal control (NC), MCI, and dementia. In this study, 827 participants were divided into 4 groups: 1) NC over 5 visits (n=511, 71% female; 42% Latinx/Hispanic), 2) baseline NC to amnestic MCI (n=62; 63% female; 57% Latinx/Hispanic), 3) SMC at last visit (n=133; 58% female; 70% Latinx/Hispanic), and 4) impaired but not MCI at last visit (n=121; 71% female; 60% Latinx/Hispanic). A memory composite (z-score) was created from the CERAD list-learning task (immediate, delayed, and recognition-discrimination) and Wechsler Memory Scale (Immediate and Delayed Logical Memory and Visual Reproduction) to evaluate memory performance over time. A linear mixed-model adjusting for age, education, sex, ethnicity, and number of APOE e4 alleles evaluated memory performance across 5 visits for the groups. To assess if depression followed a similar course, a linear mixed-model evaluated Geriatric Depression Scale (GDS) scores over time.
Results:At baseline, groups differed by age (F=22.82; p<.001), education (F=8.60; p<.001), MMSE scores (F=9.38; p<.001), GDS-30 scores (F=3.56; p=.015), and memory composites (F=24.29; p<.001). A significant group X time interaction was observed (F=4.83, p<.001). Memory performance improved in both the SMC and the NC groups, remained stable in the impaired but not MCI group, and declined (as expected) in those who converted to amnestic MCI. Depression scores also showed a significant group X time interaction (F=2.43; p=.004), in which the NC to MCI group endorsed slightly more depression symptoms over time, while other groups declined or remained stable.
Conclusions:Memory trajectories in this diverse sample differed across groups. Individuals with SMC but without objective memory impairment and normal controls showed some improvement in memory over time, presumably due to practice effects. Those with subtle memory impairments but no complaint (i.e., did not meet MCI criteria) remained stable and those who converted to amnestic MCI had worse memory across time. The stability of memory performances in the impaired not MCI group suggests these subtle memory inefficiencies may be longstanding or unperceived. However, because our sample achieved retrospective diagnoses of SMC and impaired not MCI, it will be important for future studies to prospectively follow these groups to determine which risk factors may predict progression to MCI and what impact ethnicity may have on these trajectories.
97 Looking in the Webcam Reflection: A Scoping Review of Videoconferencing-Based Teleneuropsychological Assessment Since the Start of the COVID-19 Pandemic
- Joshua T Fox-Fuller, Preeti Sunderaraman, C. Munro Cullum, Yakeel T. Quiroz
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 770-771
-
- Article
-
- You have access Access
- Export citation
-
Objective:
Following the start of the SARS-COV-2 (COVID-19) pandemic there was a rapid uptake in teleneuropsychology (TeleNP). Many clinicians and researchers used videoconferencing technologies (e.g., Zoom®) to conduct remote neuropsychological assessments. Prior reviews (e.g., Marra et al., 2020) have indicated promise for the use of videoconference-based approaches to cognitive assessment under certain circumstances, though arguably nobody foresaw the widespread use of teleNP during the pandemic. Given the rapid expansion in the teleNP literature in the past couple of years, in this scoping review we specifically discuss research updates made during the COVID-19 pandemic pertaining to teleNP assessment of adults conducted via videoconferencing and their potential clinical applications.
Participants and Methods:GoogleScholar and PubMed were used to search for peer-reviewed original research articles published between January 1, 2020 (i.e., the approximate beginning of the COVID-19 pandemic) and August 1, 2022. Broad search terms were used pertaining to teleNP, remote cognitive assessment, videoconferencing, and neuropsychological assessment, resulting in 16 articles.
Results:Though most of the included studies were based in the United States (n=5), there was international representation across studies (Chile=1; United Kingdom=1; Australia=2; New Zealand=1; France=2; Greece=1; Japan=2, Singapore=1). All of the identified articles examined TeleNP-related research questions using cognitive tests administered via videoconferencing that have been previously studied in-person to varying degrees. Several of the studies focused on psychometric characterization (i.e., reliability and validity) of the examined tests when delivered via videoconferencing, whereas others focused on demonstrating the relative equivalence of neuropsychological scores obtained via videoconferencing versus in-person evaluations.
Conclusions:Formal psychometric studies of traditional in-person neuropsychological tests delivered via videoconferencing since the start of the COVID-19 pandemic suggest that this remote modality of assessment is generally reliable and valid. Moreover, multiple recent studies have demonstrated relative equivalence of neuropsychological scores obtained via videoconferencing versus neuropsychological test scores obtained in-person. When considered alongside teleNP research conducted prior to the COVID-19 pandemic (e.g. Cullum et al., 2014), recent studies on videoconference-based neuropsychological assessment indicate that videoconferencing may not necessarily be a complete substitute for an in-person comprehensive evaluation given the inherent limitations of the procedure. However, teleNP via videoconferencing may be a promising tool in the neuropsychologist’s toolbox because it can help reduce common barriers to in-person neuropsychological assessment (e.g., travel time to clinics). Additional research on videoconferencing-based cognitive assessment is needed, especially in low-and-middle income countries (LMIC) and diverse populations where there may be more economic barriers to remote neuropsychological assessment relative to more economically-developed countries. Notably it is possible that research from LMIC may have been missed through the screening processes used in this review (e.g., inclusion of articles written in English).
3 Separating Memory Impairment from Other Neuropsychological Deficits on the CVLT-II
- William F Goette, Jeff Schaffert, Anne R Carlew, David Denney, Heidi Rossetti, C. Munro Cullum, Laura H Lacritz
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, p. 678
-
- Article
-
- You have access Access
- Export citation
-
Objective:
Learning curve patterns on list-learning tasks can help clinicians determine the nature of memory difficulties, as an “impaired” score may actually reflect attention and/or executive difficulties rather than a true memory impairment. Though such pattern analysis is often qualitative, there are quantitative methods to assess these concepts that have been generally underutilized. This study aimed to develop a model that decomposes learning over repeated trials into separate cognitive processes and then include other testing data to predict performance at each trial as a function of general cognitive functioning.
Participants and Methods:Data for CVLT-II learning trials were obtained from an outpatient neuropsychology service within an academic medical center referred for clinical reasons. Participants with a cognitive diagnosis of non-demented (ND) or probable Alzheimer’s disease (AD) were included. The final sample consisted of 323 ND [Mage = 58.6 (14.8); Medu = 15.4 (2.7); 55.7% female] and 915 AD [Mage = 72.6 (9.0); Medu = 14.2 (3.1); 60.1% female cases. A Bayesian non-linear beta-binomial multilevel model was used, which uses three parameters to predict CVLT-II recall-by-trial: verbal attention span (VAS), maximal learning potential (MLP), and learning rate (LR). Briefly, VAS predicts expected first trial performance while MLP, conversely, predicts the expected best performance as trials are repeated, and LR weights the influence of VAS versus MLR over repeated trials. Predictors of these parameters included age, education, sex, race, and clinical diagnosis, in addition to raw scores on Trail Making Test Parts A and B, phonemic (FAS) fluency, animal fluency, Boston Naming Test, Wisconsin Card Sorting Test (WCST) Categories Completed, and then age-adjusted scaled scores from WAIS-IV Digit Span, Block Design, Vocabulary, and Coding. Random intercepts were included for each parameter and extracted for comparison of residual differences by diagnosis.
Results:The model explained 84% of the variance in CVLT-II raw scores. VAS reduced with age and time-to-complete Trails B but improved with both verbal fluencies and confrontation naming. MLP increased as a function of WAIS Digit Span, animal fluency, confrontation naming, and WCST categories completed. Finally, LR was greater for females and WAIS-IV Coding and Vocabulary performances but reduced with age. Participants with AD had lower estimates of all three parameters: Cohen’s d = 2.49 (VAS) - 3.48 (LR), though including demographic and neuropsychological tests attenuated differences, Cohen’s d = 0.34 (LR) - 0.95 (MLP).
Conclusions:The resulting model highlights how non-memory neuropsychological deficits affect list-learning test performance. At the same time, the model demonstrated that memory patterns on the CVLT-II can still be identified beyond other confounding deficits since having AD affected all parameters independent of other cognitive impairments. The modeling approach can generate conditional learning curves for individual patient data, and when multiple diagnoses are included in the model, a person-fit statistic can be computed to return the mostly likely diagnosis for an individual. The model can also be used in research to quantify or adjust for the effect of other patient data (e.g., neuroimaging, biomarkers, medications).
50 Sex differences in psychological features in adolescents after concussion
- Hannah M. Doggett, Linda S. Hynan, Cheryl H. Silver, Danyah Ahmed, Logan Shurtz, Ingrid Tamez, C. Munro Cullum, Mathew A. Stokes
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 155-156
-
- Article
-
- You have access Access
- Export citation
-
Objective:
Few concussion studies have investigated the psychological domain of concussions. Of the 22 postconcussion symptoms assessed on the Graded Symptom Checklist of the SCAT-5, five do not overlap with core symptoms of anxiety and depression. 43% of patients report at least one psychiatric symptom, the median is four after injury. Previous studies focus on total scores and not individual items; furthermore, few consider resilience as part of psychological factors that impact recovery. This research aims to describe general and specific characteristics of psychological functioning in males/females ages 12-18 after concussion to help guide treatment. We compared total scores for each measure between males/females and looked at the differences between the genders for individual items in each measure.
Participants and Methods:Participants were evaluated at an outpatient concussion clinic participating in the North Texas Concussion Registry (ConTex; N=1238, 53% female, mean age=15.4 years, SD=1.16 years). The Generalized Anxiety Disorder 7-item Scale (GAD-7, the Patient Health Questionnaire-8 (PHQ-8), the Brief Resilience Scale (BRS), and the Pittsburgh Sleep Quality Index (PSQI) were used to determine levels of anxiety, depression, resilience, and sleep quality.
Results:Utilizing Mann-Whitney U tests (median, interquartile range) to examine group distributions for the GAD-7, PHQ-8, and BRS, females had significantly higher scores than males for the GAD (p<0.001; Female: 4, 1-9 v. Male: 2, 0-5) and PHQ (p<0.001; Female: 5, 210 v. Male: 3, 1-7). For the BRS, total scores for females were significantly lower than males (p<0.001; Female: 3.67, 3-4 v. Male: 3.83, 3.214.33). The PSQI media score was significantly different between males and females: item 2, p=.016 and item 4 p=.007 using an exact sampling distribution for U. Pearson Chi square tests were used to examine sex differences for each item of the psychological measures. Items 1-7 within the GAD-7 were significant between sexes (i.e. male or female). The seven items assess (1) Feelings of nervousness, (2) Inability to stop/control worry, (3) Worrying too much about different things, (4) Trouble relaxing, (5) Inability to sit still due to restlessness, (6) Irritability, and (7) Feeling afraid. Items 2-8 within the PHQ were significant between sexes. The items assess (2) Feeling down/depressed/hopeless, (3) Trouble falling/staying asleep, (4) Feeling tired/no energy, (5) Appetite changes, (6) Lowered/poor self-esteem, (7) Concentration issues, and (8) Feeling slowed down or unable to be still. There was a statistically significant difference between genders and Items 2 and 4 within the BRS were significant between sexes. The items assess (2) Difficulty surviving hard times and (4) Difficulty snapping back from something bad.
Conclusions:Like other studies, this study found females have higher levels of negative affect (i.e., depressive and anxious symptoms). Females displayed lower resilience and reported poorer sleep. By analyzing psychiatric measures, treatment protocols can be tailored to address specific problems, and mental health difficulties can be mitigated by teaching specific coping techniques. These results suggest clinicians should consistently be providing education on depression, anxiety, sleep, and resilience, particularly to female patients, who appear at greater risk for psychological distress.
23 The Utility of Global versus Domain-specific Neuropsychological Test Score Dispersion as Markers of Cognitive Decline
- Hudaisa Fatima, Jeff Schaffert, Anne Carlew, Will Goette, Jessica Helphrey, Laura Lacritz, Heidi Rossetti, C. Munro Cullum
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 233-234
-
- Article
-
- You have access Access
- Export citation
-
Objective:
Higher baseline dispersion (intra-individual variability) across neuropsychological test scores at a single time-point has been associated with more rapid cognitive decline, onset of Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD), faster rates of hippocampal and entorhinal atrophy, and increased AD neuropathology. Comparison between predictions made from test score dispersion within a cognitive domain versus global, cross-domain dispersion is understudied. Global dispersion may be influenced by ability-and test-specific characteristics. This study examined the performance of global versus domain-specific dispersion metrics to identify which is most predictive of cognitive decline over time.
Participants and Methods:Data for baseline and five follow-up visits of 308 participants with normal cognition (Mage=73.90, SD=8.12) were selected from the National Alzheimer’s Coordinating Center (NACC) Dataset. Participants were required to have no focal neurological deficits, or history of depression, stroke, or heart attack. Diagnoses and progression to MCI and/or dementia were determined at each visit through consensus conferences. Raw neuropsychological scores were standardized using NACC norms. Global baseline dispersion was defined as the intraindividual standard deviation (ISD) across the 10 scores in the NACC battery. Domain-specific dispersions were calculated by constructing composites and ISD was computed across tests sampling their respective domains (executive functioning/attention/processing speed [EFAS], language, and memory; see Table 1 for details on these tests). Higher values on each of these metrics reflect greater dispersion. Multinomial logistic regression model fit statistics and parameter estimates were compared across four different models (global, EFAS, Language, and Memory dispersion) covarying for age, years of education, sex, race, ethnicity, and ApoE4 status. Models were compared using the Likelihood Ratio Test (LRT) and the Akaike Information Criteria (AIC) of Models statistics.
Results:Of the 308 participants, 70 (22.7%) progressed to MCI, and 82 (26.6%) progressed to dementia. Tables 1 and 2 show the results of the logistic regressions for the four models. All models fit the data well, with statistically significant predictions of conversion. Model 1 (global dispersion) showed a better fit than domain-specific models of dispersion per LRT and AIC values. Consistent with the results from mean differences between groups, parameter estimates showed that only global dispersion and EFAS dispersion significantly predicted conversion to dementia (when included with other covariates in models), with higher dispersion reflecting a greater risk of conversion.
Conclusions:In this sample, baseline global and EFAS dispersion measures significantly predicted conversion to dementia. Although global dispersion was a stronger predictor of dementia progression, findings suggest that executive functioning performance may be driving this relationship. A single index of global variability, from the calculation of standard deviation across test scores, may be supplementary for clinicians when distinguishing individuals at risk for dementia progression. None of the models were predictive of conversion to MCI. Further research is required to examine cognitive variability differences among patients who progress to MCI and patient-specific factors that may relate to test score dispersion and its utility in predicting the progression of symptoms.
Validation of a Bayesian Diagnostic and Inferential Model for Evidence-Based Neuropsychological Practice
- William F. Goette, Anne R. Carlew, Jeff Schaffert, Ben K. Mokhtari, C. Munro Cullum
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue 2 / February 2023
- Published online by Cambridge University Press:
- 07 April 2022, pp. 182-192
-
- Article
-
- You have access Access
- Open access
- HTML
- Export citation
-
Objective:
Evidence-based diagnostic methods have clinical and research applications in neuropsychology. A flexible Bayesian model was developed to yield diagnostic posttest probabilities from a single person’s neuropsychological score profile by utilizing sample descriptive statistics of the test battery across diagnostic populations of interest.
Methods:Three studies examined the model’s performance. One simulation examined estimation accuracy of true z-scores. A diagnostic accuracy simulation utilized descriptive statistics from two popular neuropsychological tests, the Wechsler Adult Intelligence Scale–IV (WAIS-IV) and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The final simulation examined posterior predictive accuracy of scores to those reported in the WAIS manual.
Results:The model produced minimally biased z-score estimates (root mean square errors: .02–.18) with appropriate credible intervals (95% credible interval empirical coverage rates: .94–1.00). The model correctly classified 80.87% of simulated normal, mild cognitive impairment, and Alzheimer’s disease cases using a four subtest WAIS-IV and the RBANS compared to accuracies of 60.67–65.60% from alternative methods. The posterior predictions of raw scores closely aligned to percentile estimates published in the WAIS-IV manual.
Conclusion:This model permits estimation of posttest probabilities for various combinations of neuropsychological tests across any number of clinical populations with the principal limitation being the accessibility of applicable reference samples. The model produced minimally biased estimates of true z-scores, high diagnostic classification rates, and accurate predictions of multiple reported percentiles while using only simple descriptive statistics from reference samples. Future nonsimulation research on clinical data is needed to fully explore the utility of such diagnostic prediction models.
Evaluation of the Effects of Severe Depression on Global Cognitive Function and Memory
- Shawn M. McClintock, C. Munro Cullum, Mustafa M. Husain, A. John Rush, Rebedca G. Knapp, Martina Mueller, Georgios Petrides, Shirlene Sampson, Charles H. Kellner
-
- Journal:
- CNS Spectrums / Volume 15 / Issue 5 / May 2010
- Published online by Cambridge University Press:
- 07 November 2014, pp. 304-313
-
- Article
- Export citation
-
Introduction: Major depressive disorder (MDD) is thought to negatively impact cognitive function; however, the relationship has not been well explored.
Objective: This study examined the association between depression severity and global cognitive function and memory in subjects with severe, treatment-resistant MDD.
Methods: We enrolled 66 subjects with Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnosed unipolar MDD in a multicenter trial to assess the efficacy and neurocognitive effects of electroconvulsive therapy (ECT). We measured depression severity with the 24 item Hamilton Rating Scale for Depression (HRSD24). Neuropsychologic measures included the Mini Mental State Examination (MMSE), Rey Auditory Verbal Learning Test (RAVLT), and the Complex Figure Test (CFT). Correlational and regression analyses were conducted to explore associations between depression severity and cognitive function.
Results: The mean age of the subjects was 53.6 years (SD=15.8), 65% were female, and mean HRSD24 was 33.9 (SD=6.7). Mean demographic-corrected T-scores for each neurocognitive measure were in the average to borderline range, and HRSD24 values were unrelated to performance on the MMSE, RAVLT immediate and delayed recall, and CFT immediate and delayed recall.
Conclusion: In this sample of severely depressed subjects referred for ECT, depression severity was unrelated to global cognitive function or memory. Future research should examine the interactions between other depressive characteristics and neurocognitive function.
Teleneuropsychology: Evidence for Video Teleconference-Based Neuropsychological Assessment
- C. Munro Cullum, L.S. Hynan, M. Grosch, M. Parikh, M.F. Weiner
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 20 / Issue 10 / November 2014
- Published online by Cambridge University Press:
- 24 October 2014, pp. 1028-1033
-
- Article
- Export citation
-
The use of videoconference technology to deliver health care diagnostics and treatment continues to grow at a rapid pace. Telepsychiatry and telepsychology applications are well-accepted by patients and providers, and both diagnostic and treatment outcomes have generally been similar to traditional face-to-face interactions. Preliminary applications of videoconference-based neuropsychological assessment (teleneuropsychology) have yielded promising results in the feasibility and reliability of several standard tests, although large-scale studies are lacking. This investigation was conducted to determine the reliability of video teleconference (VTC) - based neuropsychological assessment using a brief battery of standard neuropsychological tests commonly used in the evaluation of known or suspected dementia. Tests included the Mini-Mental State Examination (MMSE), Hopkins Verbal Learning Test-Revised, Digit Span forward and backward, short form Boston Naming Test, Letter and Category Fluency, and Clock Drawing. Tests were administered via VTC and in-person to subjects, counterbalanced using alternate test forms and standard instructions. Two hundred two adult subjects were tested in both rural and urban settings, including 83 with cognitive impairment and 119 healthy controls. We found highly similar results across VTC and in-person conditions, with significant intraclass correlations (mean=.74; range: 0.55–0.91) between test scores. Findings remained consistent in subjects with or without cognitive impairment and in persons with MMSE scores as low as 15. VTC-based neuropsychological testing is a valid and reliable alternative to traditional face-to-face assessment using selected measures. More VTC-based studies using additional tests in different populations are needed to fully explore the utility of this new testing medium. (JINS, 2014, 20, 1–6)
Contributors
-
- By C. Alan Anderson, Celso Arango, David B. Arciniegas, Igor Bombin, Robert W. Buchanan, C. Robert Cloninger, Joshua Cosman, C. Munro Cullum, Felipe DeBrigard, Steven L. Dubovsky, Robert Feinstein, Lynne Fenton, Christopher M. Filley, Laura A. Flashman, Morris Freedman, Oliver Freudenreich, Kimberly L. Frey, Lauren C. Frey, Kelly S. Giovanello, Deborah A. Hall, John Hart, Kenneth M. Heilman, Katherine L. Howard, Robin A. Hurley, Daniel I. Kaufer, Sita Kedia, James P. Kelly, B. K. Kleinschmidt-DeMasters, Benzi M. Kluger, David G. Lichter, Deborah M. Little, Deborah M. Lucas, Thomas W. McAllister, Mario F. Mendez, Doron Merims, Steven G. Ojemann, Fred Ovsiew, Brian D. Power, Bruce H. Price, Gila Z. Reckess, Martin L. Reite, Matthew Rizzo, Donald C. Rojas, Michael Henry Rosenbloom, Elliott D. Ross, Jeremy D. Schmahmann, Stuart A. Schneck, Jonathan M. Silver, Mark C. Spitz, Sergio E. Starkstein, Katherine H. Taber, Robert L. Trestman, Hal S. Wortzel
- Edited by David B. Arciniegas, C. Alan Anderson, Christopher M. Filley
-
- Book:
- Behavioral Neurology & Neuropsychiatry
- Published online:
- 05 February 2013
- Print publication:
- 24 January 2013, pp vii-x
-
- Chapter
- Export citation
24 - Neuropsychologicalassessment
- from Section II - Neurobehavioral and Neuropsychiatric Assessment
- Edited by David B. Arciniegas, C. Alan Anderson, Christopher M. Filley
-
- Book:
- Behavioral Neurology & Neuropsychiatry
- Published online:
- 05 February 2013
- Print publication:
- 24 January 2013, pp 394-405
-
- Chapter
- Export citation
-
Summary
This chapter reviews conceptual issues and definitions of the executive function. It is argued that executive function is a multidimensional construct and it is suggested that subspecialists in Behavioral neurology (BN) & Neuropsychiatry (NP) regard executive function principally as a cognitive domain. Executive function requires the integrated actions of the frontal-subcortical circuits, open-loop connections to other neocortical areas, limbic and paralimbic structures, thalamic nuclei, pontocerebellar networks, modulatory neurochemical projections from mesencephalic and ventral forebrain structures, and the white matter connections within and between all of these areas. As such, executive dysfunction is more accurately understood as dysfunction within or across these networks. The distributed structural and functional anatomy of executive function renders it vulnerable to disruption by many conditions affecting the brain. Finally, the chapter briefly discusses neuropsychological tests and bedside assessments of executive function.
Gist Distinctions in Healthy Cognitive Aging Versus Mild Alzheimer's Disease
- Sandra B. Chapman, Raksha Anand, Garen Sparks, C. Munro Cullum
-
- Journal:
- Brain Impairment / Volume 7 / Issue 3 / 01 December 2006
- Published online by Cambridge University Press:
- 21 February 2012, pp. 223-233
-
- Article
- Export citation
-
There is limited understanding of the effects of normal and abnormal aging on gist-based memory in relation to the massive evidence regarding detail-based memory. This void is striking given the widely accepted view that memory is rarely veridical, but most often abstracted. The present study examined the effects of healthy advanced aging and mild Alzheimer's disease (AD) on three distinct forms of gist. Two of these gist forms involved a passage: transformed gist (global generalised meaning of a passage) and main-idea gist (main points of a passage). The third gist form involved a word list: categorical gist (clustering of words according to semantic categories during list recall). These gist forms were assessed in immediate and delayed recall conditions. A total of 36 participants were included: 12 cognitively healthy young seniors (65–79 years), 12 cognitively healthy old seniors (80–95 years), and 12 young seniors with mild AD (65–79 years). The findings revealed that age and dementia did not equally affect all three forms of gist. Specifically, transformed gist was relatively maintained in the cognitively healthy senior groups as compared to the other two gist forms (main-idea gist and categorical gist), whereas all three gist forms were impaired in individuals with AD. The present study suggests that transformed gist operates differently than detail-based memory in the cognitively healthy senior groups. These findings have important theoretical implications in terms of informing existing models on the interrelationship between gist and detail-based memory and clinical implications in diagnosis of AD.
Diffusion Tensor Imaging Biomarkers for Traumatic Axonal Injury: Analysis of Three Analytic Methods
- Carlos D. Marquez de la Plata, Fanpei Gloria Yang, Jun Yi Wang, Kamini Krishnan, Khamid Bakhadirov, Christopher Paliotta, Sina Aslan, Michael D. Devous, Sr., Carol Moore, Caryn Harper, Roderick McColl, C. Munro Cullum, Ramon Diaz-Arrastia
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 17 / Issue 1 / January 2011
- Published online by Cambridge University Press:
- 12 November 2010, pp. 24-35
-
- Article
- Export citation
-
Traumatic axonal injury (TAI) is a common mechanism of traumatic brain injury not readily identified using conventional neuroimaging modalities. Novel imaging modalities such as diffusion tensor imaging (DTI) can detect microstructural compromise in white matter (WM) in various clinical populations including TAI. DTI-derived data can be analyzed using global methods (i.e., WM histogram or voxel-based approaches) or a regional approach (i.e., tractography). While each of these methods produce qualitatively comparable results, it is not clear which is most useful in clinical research and ultimately in clinical practice. This study compared three methods of analyzing DTI-derived data with regard to detection of WM injury and their association with clinical outcomes. Thirty patients with TAI and 19 demographically similar normal controls were scanned using a 3 Tesla magnet. Patients were scanned approximately eight months postinjury, and underwent an outcomes assessment at that time. Histogram analysis of fractional anisotropy (FA) and mean diffusivity showed global WM integrity differences between patients and controls. Voxel-based and tractography analyses showed significant decreases in FA within centroaxial structures involved in TAI. All three techniques were associated with functional and cognitive outcomes. DTI measures of microstructural integrity appear robust, as the three analysis techniques studied showed adequate utility for detecting WM injury. (JINS, 2011, 17, 000–000)
Effects of bilingualism on verbal learning and memory in Hispanic adults
- Josette G. Harris, C. Munro Cullum, Antonio E. Puente
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 1 / Issue 1 / January 1995
- Published online by Cambridge University Press:
- 26 February 2009, pp. 10-16
-
- Article
- Export citation
-
The effect of bilingualism on qualitative aspects of verbal learning and memory was investigated. Equivalent list learning tests in English and Spanish were carefully constructed, and compared across two bilingual Hispanic groups of Mexican origin that differed in their level of English proficiency (“balanced” and “nonbalanced” bilinguals) and a group of monolingual English-speaking non-Hispanic subjects. Groups were matched for age, education, and gender composition. Nonbalanced bilinguals assessed in English utilized semantic clustering to the same extent as monolinguals, but learned fewer words overall, and demonstrated lower retention scores compared to monolinguals. Comparisons of groups assessed in their dominant languages, however, revealed no significant differences on any of the learning and memory indices examined. In addition to comparisons with standard clinical memory indices, assessment issues concerning bilingual individuals are addressed. (JINS, 1995, I, 10–16.)
Episodic memory function in advanced aging and early Alzheimer's disease
- C. Munro Cullum, C. M. Filley, E. Kozora
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 1 / Issue 1 / January 1995
- Published online by Cambridge University Press:
- 26 February 2009, pp. 100-103
-
- Article
- Export citation
-
Despite some well-documented differences, normal aging and Alzheimer's disease (AD) share a number of common neuropathological and neuropsychological features. Many of the reported differences are largely quantitative in nature and there is often overlap between the respective distributions of these populations. To assess the issue of overlap and distinguishing features in memory functions between these groups, and to minimize aging effects per se, samples of older individuals in good health (ages 75–95 yr) and younger patients in the early stages of AD (age < 75 yr) were selected to be similar in global cognitive functioning. Despite comparable language and visuospatial scores, these preliminary results suggest important qualitative differences in episodic memory functions between these conditions, even when “low-functioning” or “at-risk” controls are compared with early AD patients. These findings furthermore highlight some of the challenges in defining “normality” among the oldest segment of our population. (JINS, 1995, I, 100–103.)
Comparison of Functional and Cognitive Donepezil Effects in Alzheimer's Disease
- Kathleen Saine, C. Munro Cullum, Kristin Martin-Cook, Linda Hynan, Doris A. Svetlik, Myron F. Weiner
-
- Journal:
- International Psychogeriatrics / Volume 14 / Issue 2 / June 2002
- Published online by Cambridge University Press:
- 10 January 2005, pp. 181-185
-
- Article
- Export citation
-
Donepezil has been shown to improve aspects of cognitive functioning in persons with Alzheimer's disease (AD), but its impact on instrumental activities of daily living has received little attention. In a within-subject design, 24 community-dwelling persons with AD were treated with open-label donepezil over a 12-month period. To assess functional abilities, a brief, objective measure of instrumental activities of daily living skills was used (Texas Functional Living Scale; TFLS). Global cognitive abilities were assessed with the Mini-Mental State Examination (MMSE). Changes in TFLS and MMSE scores were much the same. Improvements on the TFLS and MMSE were seen over a 3-month period. At 12 months, both TFLS and MMSE scores declined slightly below baseline. These results support an effect of donepezil on cognitive measures and day-to-day function and also suggest that the MMSE reflects well the actual functional ability of persons with moderate AD.
Cognitive functioning in individuals with “benign” essential tremor
- LAURA H. LACRITZ, RICHARD DEWEY JR., COLE GILLER,, C. MUNRO CULLUM
-
- Journal:
- Journal of the International Neuropsychological Society / Volume 8 / Issue 1 / January 2002
- Published online by Cambridge University Press:
- 11 January 2002, pp. 125-129
-
- Article
- Export citation
-
Essential tremor (ET) is the most common type of movement disorder, although its etiology and neurophysiological substrates remain unclear. While thought to be a benign condition, it has yet to be studied from a neuropsychological perspective. We examined the neurocognitive functioning of 13 nondemented subjects with severe ET, including aspects of memory, cognitive flexibility, and attention. Results revealed that 12/13 subjects demonstrated impairment on 1 or more cognitive measures in comparison with published normative data. The pattern of findings was suggestive of relative dysfunction of frontal-mediated processes not unlike that seen in Parkinson's disease. These deficits were found in subjects irrespective of the presence of cognitive complaints, depression, or the existence of other potential neurocognitive risk factors. These findings suggest that mild cognitive deficits are not uncommon in association with severe ET and may be related to subcortical systems. (JINS, 2002, 8, 125–129.)