The Technology in Caring Questionnaire: Development and Psychometric Properties.

OBJECTIVE: We developed the Technology in Caring Questionnaire (TCQ) to assess the use of technology-based strategies by dementia caregivers. METHODS: One hundred caregivers completed a survey that included TCQ items along with measures of technology proficiency and patient and caregiver-centered outcomes. RESULTS: The final 34-item TCQ scale had adequate to excellent internal consistency (raw Cronbach alpha = 0.75; standardized Cronbach alpha = 0.95; Guttman lambda-6 = 0.97). TCQ scores demonstrated modest convergent associations with scores from measures of smartphone ( r = 0.265, P < 0.01) and computer proficiency ( r = 0.230, P < 0.05) but a strong association with overall technology experience scores ( r = 0.578, P < 0.001). Elevated TCQ scores were associated with reduced informant-reported cognitive symptoms ( B = -0.003, P < 0.05), increased ability of caregivers to find support and information ( B = 0.03, P < 0.001), and increased direct care strain ( B = 0.03, P < 0.05), after controlling for dementia severity and demographics. CONCLUSION: The TCQ has good psychometric properties for the assessment of technology-based care strategies among dementia caregivers. Findings imply that the use of technologies may aid in symptom management and finding support and information but may also increase caregiver strain.

Digital Methods for Performing Daily Tasks Among Older Adults: An Initial Report of Frequency of Use and Perceived Utility.

OBJECTIVE: Digital technologies permit new ways of performing instrumental activities of daily living (iADLs) for older adults, but these approaches are not usually considered in existing iADL measures. The current study investigated how a sample of older adults report using digital versus analog approaches for iADLs. METHOD: 248 older adults completed the Digital and Analog Daily Activities Survey, a newly developed measure of how an individual performs financial, navigation, medication, and other iADLs. RESULTS: The majority of participants reported regularly using digital methods for some iADLs, such as paying bills (67.7%) and using GPS (67.7%). Low digital adopters were older than high adopters (F(2, 245) = 12.24, p < .001), but otherwise the groups did not differ in terms of gender, years of education, or history of neurological disorders. Participants who used digital methods relatively more than analog methods reported greater levels of satisfaction with their approach and fewer daily errors. CONCLUSIONS: Many older adults have adopted digital technologies for supporting daily tasks, which suggests limitations to the validity of current iADL assessments. By capitalizing on existing habits and enriching environments with new technologies, there are opportunities to promote technological reserve in older adults in a manner that sustains daily functioning.

Recent Advances in Neuropsychological Test Interpretation for Clinical Practice.

Much attention in the field of clinical neuropsychology has focused on adapting to the modern healthcare environment by advancing telehealth and promoting technological innovation in assessment. Perhaps as important (but less discussed) are advances in the development and interpretation of normative neuropsychological test data. These techniques can yield improvement in diagnostic decision-making and treatment planning with little additional cost. Brooks and colleagues (Can Psychol 50: 196-209, 2009) eloquently summarized best practices in normative data creation and interpretation, providing a practical overview of norm development, measurement error, the base rates of low scores, and methods for assessing change. Since the publication of this seminal work, there have been several important advances in research on development and interpretation of normative neuropsychological test data, which may be less familiar to the practicing clinician. Specifically, we provide a review of the literature on regression-based normed scores, item response theory, multivariate base rates, summary/factor scores, cognitive intraindividual variability, and measuring change over time. For each topic, we include (1) an overview of the method, (2) a rapid review of the recent literature, (3) a relevant case example, and (4) a discussion of limitations and controversies. Our goal was to provide a primer for use of normative neuropsychological test data in neuropsychological practice.

Computer use: a protective factor for cognition in aging and HIV disease?

BACKGROUND: Modifiable lifestyle factors such as engagement with technology may be beneficial to cognition in older adults, but we know little about these relationships in older persons with chronic medical conditions. AIMS: The current study examined the association between computer use frequency and cognition in younger and older adults with and without HIV disease. METHODS: Participants included 110 older persons with HIV (pwHIV; age ≥ 50 years), 84 younger pwHIV (age ≤ 40 years), 76 older HIV-, and 66 younger HIV- adults who completed a comprehensive medical, psychiatric, and cognitive research assessment. Demographically adjusted scores were derived from a well-validated clinical battery of performance-based neuropsychological tests. Participants also completed self-reported measures of cognitive symptoms in daily life and the Brief Computer Use and Anxiety Questionnaire (BCUAQ). RESULTS: Older age was associated with less frequent computer use among persons with and without HIV disease. More frequent computer use was strongly and independently related to better cognitive performance, particularly in higher order domains (e.g., episodic memory and executive functions) and among the older seronegative adults. A small, univariable correlation between more frequent computer use and fewer cognitive symptoms in daily life was observed in the full sample, but that relationship was better explained by computer-related anxiety and HIV/age study group. DISCUSSION: These findings add to the existing literature that suggests regular engagement with digital technologies may have a beneficial impact on cognitive functioning, consistent with the technological reserve hypothesis.

Neuropsychological Equivalence of the Clinical Diagnosis of Mild Cognitive Impairment in the National Alzheimer's Coordinating Center Uniform Data Set and Alzheimer's Disease Neuroimaging Initiative.

INTRODUCTION: Our understanding of Alzheimer's disease may be improved by harmonizing data from large cohort studies of older adults. Differences in the way clinical conditions, like mild cognitive impairment (MCI), are diagnosed may lead to variability among participants that share the same diagnostic label. This variability presents a challenge for cohort harmonization and may lead to inconsistency in research findings. Little research to date has explored the equivalence of the diagnostic label of MCI across 2 of the largest and most influential cohort studies in the USA: the National Alzheimer's Coordinating Center (NACC) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). METHODS: Participants with MCI due to presumed Alzheimer's disease from the NACC Uniform Data Set (n = 789) and ADNI (n = 131) were compared on demographic, psychological, and functional variables, as well as on an abbreviated neuropsychological battery common to the 2 data sets. RESULTS: Though similar in terms of age, education, and functional status, the NACC sample was more diverse (17.4% non-White participants vs. 7.6% in ADNI; χ2 = 7.923, p = 0.005) and tended to perform worse on some cognitive tests. In particular, participants diagnosed with MCI in NACC were more likely to have clinically significant impairments on language measures (26.36-31.18%) than MCI participants in ADNI (16.03-19.85%). DISCUSSION: The current findings suggest important differences in cognitive performances between 2 large MCI cohorts, likely reflective of differences in diagnostic criteria used in these 2 studies, as well as differences in sample compositions. Such diagnostic heterogeneity may make harmonizing data across these cohorts challenging. However, application of shared psychometric criteria across studies may lead to closer equivalence of MCI groups. Such approaches could pave the way for cohort harmonization and enable "big data" analytic approaches to understanding Alzhei-mer's to be developed.

An Initial Empirical Operationalization of the Earliest Stages of the Alzheimer's Continuum.

PURPOSE: The Alzheimer's Continuum (AC) includes 2 preclinical stages defined by subjective cognitive complaints, transitional cognitive declines, and neurobehavioral symptoms. Operationalization of these stages is necessary for them to be applied in research. METHODS: Cognitively normal individuals with known amyloid biomarker status were selected from the National Alzheimer's Coordinating Center Uniform Data Set. Participants and their caregivers provided information on subjective cognitive complaints, neurobehavioral features, and objective cognitive functioning. PATIENTS: The sample included 101 amyloid positive (A+) and 447 amyloid negative (A-) individuals. RESULTS: Rates of subjective cognitive complaints (A+: 34.90%, A-: 29.90%) and neurobehavioral symptoms (A+: 22.40%, A-: 22.40%) did not significantly differ between A+/- individuals. However, the frequency of transitional cognitive decline was significantly higher among A+ (38.00%) than A- participants (24.90%). We explored various empirical definitions for defining the early stages of the AC among A+ participants. Rates of classification into AC stage 1 versus AC stage 2 varied depending on the number of symptoms required: 57.40% versus 42.60% (1 symptom), 28.70% versus 71.30% (2 symptoms), and 6.90% versus 93.10% (all 3 symptoms). CONCLUSION: The presence of 2 of the proposed symptom classes to separate AC stage 2 from stage 1 seems to provide a good empirical balance.

The Uniform Dataset 3.0 Neuropsychological Battery: Factor Structure, Invariance Testing, and Demographically Adjusted Factor Score Calculation.

OBJECTIVE: The goals of this study were to (1) specify the factor structure of the Uniform Dataset 3.0 neuropsychological battery (UDS3NB) in cognitively unimpaired older adults, (2) establish measurement invariance for this model, and (3) create a normative calculator for factor scores. METHODS: Data from 2520 cognitively intact older adults were submitted to confirmatory factor analyses and invariance testing across sex, age, and education. Additionally, a subsample of this dataset was used to examine invariance over time using 1-year follow-up data (n = 1061). With the establishment of metric invariance of the UDS3NB measures, factor scores could be extracted uniformly for the entire normative sample. Finally, a calculator was created for deriving demographically adjusted factor scores. RESULTS: A higher order model of cognition yielded the best fit to the data χ2(47) = 385.18, p < .001, comparative fit index = .962, Tucker-Lewis Index = .947, root mean square error of approximation = .054, and standardized root mean residual = .036. This model included a higher order general cognitive abilities factor, as well as lower order processing speed/executive, visual, attention, language, and memory factors. Age, sex, and education were significantly associated with factor score performance, evidencing a need for demographic correction when interpreting factor scores. A user-friendly Excel calculator was created to accomplish this goal and is available in the online supplementary materials. CONCLUSIONS: The UDS3NB is best characterized by a higher order factor structure. Factor scores demonstrate at least metric invariance across time and demographic groups. Methods for calculating these factors scores are provided.

The smartphone in the memory clinic: A study of patient and care partner's utilisation habits.

Smartphones have potential as cognitive aids for adults with cognitive impairments. However, little is known about how patients and their care partners utilise smartphones in their day-to-day lives. We collected self-reported smartphone utilisation data from patients referred for neuropsychological evaluations (N = 53), their care partners (N = 44), and an Amazon Mechanical Turk control sample (N = 204). Patient participants were less likely to own a smartphone than controls, with increasing age associated with less utilisation of smartphone features in all groups. Of the patients who owned smartphones, spontaneous use of cognitive aid features (e.g., reminders and calendars) occurred on only a monthly-to-weekly basis; by comparison, patients reported utilising social/general features (e.g., email and internet) on a weekly-to-daily basis. Individuals referred for geriatric cognitive disorder evaluations were less likely to own and use smartphones than individuals referred for other reasons. Care partners reported using their smartphones more frequently than control group adults, with 55% of care partners endorsing utilising their device in caring for the patient. Building upon existing smartphone use habits to increase the use of cognitive aid features may be a feasible intervention for some patients, and including care partners in such interventions is encouraged.

Implications for technological reserve development in advancing age, cognitive impairment, and dementia.

This commentary draws connections between technological culture emergence and recent trends in using assistive technology to reduce the burden of Alzheimer's disease. By the technical-reasoning hypothesis, cognitively-impaired individuals will lack the cognitive ability to employ technologies. By the technological reserve hypothesis, social-motivational and cultural transmissibility factors can provide foundations for using technology as cognitive prosthetics even during neurodegenerative illnesses.

Cognitive Problems in Parkinson Disease: Perspectives and Priorities of Patients and Care Partners.

OBJECTIVE: To report how people with Parkinson disease (pwPD) and their care partners (CPs) describe the cognitive impacts of the disease, explore the convergent validity of subjective cognitive complaints (SCCs) with measures of cognition and daily functioning, and report the cognitive treatment priorities of pwPD and their CPs. BACKGROUND: Cognitive symptoms in pwPD are common and disabling. Although objective cognitive impairments have been closely studied, SCCs are less well understood. METHODS: Fifty dyads consisting of a person with PD and his or her CP independently completed a questionnaire that describes cognitive difficulties and was derived from a prior focus group study. Each participant rated the person with PD's degree of difficulty with symptoms and identified the top five items that would be important treatment targets. Each person with PD also completed the Montreal Cognitive Assessment (MoCA), and his or her CP completed questionnaires assessing the patient's daily functioning and the CP's distress. RESULTS: Significant correlations existed between CP-reported cognitive symptoms and objective cognitive impairment as assessed by the MoCA. Both patient- and CP-reported SCCs were correlated with the pwPD's cognition as assessed by the MoCA, with an increasing number of SCCs reported with declining cognition. In general, the pwPD self-reported more SCCs than did the CPs, but for patients with dementia, the CPs reported more SCCs. Language and decision-making were the top treatment priorities. CONCLUSIONS: In view of the array of cognitive impacts of PD, clinicians and researchers must consider both the reporter (patient or CP) and the overall stage of a patient's cognitive decline when evaluating SCCs.

Do we all do the same things? Applicability of daily activities at the intersection of demographics.

OBJECTIVE: To evaluate the extent to which demographic factors-and their intersections-influence the applicability of items assessing activities of daily living (ADLs) in a sample of older adults. METHOD: Participants' (n = 44,713) Functional Activities Questionnaire (FAQ) scores from a multicenter database were evaluated to see how participant and collateral demographics, contextual, and clinical characteristics impacted ADL nonapplicability (NA). Collateral, contextual, and clinical characteristics were matched in those with and without NA. The effect of participant demographics and their interactions on NA responses were modeled with logistic regression. RESULTS: At least one FAQ item (most commonly bill payment, taxes, playing games, and meal preparation) was rated as NA in up to one third of participants across ethnoracial groups. Dementia staging had the largest impact on NA, followed by participant demographics. In a matched sample, logistic models revealed that participant demographics, in particular sex, best predicted NA. However, meaningful interactions with ethnoracial group were noted for bill payment, taxes, meal preparation, and game engagement, suggesting that demographic intersections (e.g., younger vs. older Latinxs) meaningfully predict whether a given ADL was applicable to an individual participant. CONCLUSIONS: Neuropsychology is predicated on accurate assessments of both cognition and daily functioning and, in an increasingly diverse aging population, there should be careful consideration of demographic factors, their interactions, and historical contexts that drive day-to-day demands. This study establishes limitations of existing measures and paths forward for creating fair measures of functioning in older adults. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Toward a cross-cultural understanding of intraindividual variability metrics.

OBJECTIVE: Compare the construct validity and predictive utility of cognitive intraindividual variability (IIV) in a sample of community-dwelling Hispanic and non-Hispanic white (NHW) older adults. METHODS: The present study included annual data from 651 older adult control participants (Hispanic = 293; NHW = 358) enrolled in the Texas Alzheimer's Research and Care Consortium for at least 5 years. Mean composite z-scores were calculated for attention, language, memory, and executive domains. IIV was calculated as was the standard deviation both within (IIV-Within) and between (IIV-Between) these domains. RESULTS: At baseline, NHW individuals obtained significantly higher mean scores in each domain than their Hispanic counterparts. They also showed significantly greater variability within and between domains, except for IIV-Within the language domain which was significantly larger in the Hispanic group. IIV-Between domains was driven primarily by IIV-Within the executive function domain in the NHW cohort and by IIV-Within the language domain in the Hispanic cohort. In both groups, the addition of IIV-Within and IIV-Between cognitive domains at baseline significantly improved prediction of global cognitive status after 5 years above and beyond demographic characteristics, genetic and cardiovascular risk. However, IIV-Between domains was the strongest predictor in the NHW group, while IIV-Within the attention domain was the strongest predictor in the Hispanic group. CONCLUSIONS: Findings suggest that, while IIV-Between domains is a promising adjunctive method for predicting future cognitive decline, its construct validity and predictive utility varies based on ethnic group.

Internet-Enabled Behaviors in Older Adults During the Pandemic: Patterns of Use, Psychosocial Impacts, and Plans for Continued Utilization.

In response to social distancing measures during the COVID-19 pandemic, there was a need to increase the frequency of internet enabled behaviors (IEBs). To date, little is known about how the pandemic impacted IEBs in older adults, a population that has historically been linked to lower digital literacy and utilization. We administered an online survey between April and July 2021 to 298 adults who were over age 50 (mean age = 73 years; 93.5% non-Hispanic white; 94% smart phone owners; 83.5% retired). Older adults self-reported IEBs for social, shopping, medical, and leisure activities during the pandemic, plans for continued use of these behaviors, and completed measures of psychosocial functioning. 66.8% of respondents reported an overall increase in IEBs during the pandemic, most notably for online meeting attendance. More frequent online meeting use was associated with less depression (r = -0.12, p = .04) and less loneliness (r = -0.14, p = .02). With regard to plans for continued use, 82.5% of the sample reported at least one IEB (M = 2.18, SD = 1.65) that they increased during the pandemic and planned to maintain over time (e.g., online shopping for household goods). Plans for continued use were more likely in participants who used IEBs more overall during the pandemic (r = 0.56, p < .001), and who frequently sought technical support on search engines (r = 0.22, p < .001), or online video sites (r = 0.16, p = .006). In summary, IEBs during the pandemic were associated with favorable psychosocial functioning and expectations for continued use in this sample of predominantly white older adults who had some baseline technological familiarity.

The impact of technology-based compensatory behaviors on subjective cognitive decline in older adults with a family history of dementia.

The current study examined whether greater use of technology to help with daily tasks is associated with less subjective cognitive decline (SCD), especially in individuals with a family history of Alzheimer's disease (AD). Individuals over the age of 50 (n = 102; age range 50-85) completed surveys about their digital and analog approaches to daily tasks, physical activity, and SCD. Participants with and without family histories of AD were matched on age, education, sex, and family history of AD using the R package MatchIt. There was no main effect of technology-based behavioral strategies on SCD (p = 0.259). However, a family history of AD moderated the association between technology use and SCD even when controlling for another protective lifestyle factor, physical activity. In individuals with a family history of AD, more reliance on technology-based behavioral strategies was associated with less SCD (p = 0.018), but this relationship was not significant in individuals without family history of AD (p = 0.511). Our findings suggest that technology-based behavioral strategies are associated with less SCD in individuals with a family history of AD, independent of another protective lifestyle factor. Future recommendations provided by healthcare providers to address SCD in cognitively unimpaired older adults might include focusing on technological assistance.

Technology use and subjective cognitive concerns in older adults.

OBJECTIVES: How technology impacts the day to day cognitive functioning of older adults is a matter of some debate. On the one hand, the use of technologies such as smartphones and social media, may lead to more subjective cognitive concerns (SCC) by promoting distractibility and reliance on devices to perform memory tasks. However, continued digital engagement in older adults may also be related to better cognitive functioning. Given these competing viewpoints, our study evaluated if frequency of digital device use was associated with greater or less subjective cognitive concerns. METHOD: Participants were 219 adults over the age of 65 (mean age =75 years) who had internet access. Measures assessing frequency of digital device use along with SCC were administered. Hierarchical multiple regression was used to gage association between frequency of device use and SCC, controlling for relevant demographic and lifestyle factors. RESULTS: Increased frequency of digital device use was associated with less SCC, over and above the influence of demographic factors, across cognitive (but especially in executive) domains. This effect was observed for general device usage, with no statistically significant associations were observed between texting/video call, social media use and SCC. DISCUSSION: Results were broadly consistent with the technological reserve hypothesis in that digital engagement was associated with better experienced cognitive functioning in older adults. While device use may contribute to distractibility in certain cases, the current results add to a burgeoning literature that digital engagement may be a protective factor for cognitive changes with age.

Greater precision when measuring dementia severity: establishing item parameters for the Clinical Dementia Rating Scale.

BACKGROUND/AIMS: An item response theory (IRT)-based scoring approach to the Clinical Dementia Rating Scale (CDR) can account for the pattern of scores across the CDR items (domains) and their differential abilities to indicate dementia severity. In doing so, an IRT-based approach can provide greater precision than other CDR scoring algorithms. However, neither a good set of item parameters nor an easily digestible set of instructions needed to implement this approach is readily available. METHODS: Participants were 1,326 patients at the Baylor College of Medicine Alzheimer's Disease and Memory Disorders Clinic. RESULTS: The item parameters necessary for an IRT-based scoring approach were identified (a parameters ranged from 3.01 to 6.22; b parameters ranged from -2.46 to 2.07). CONCLUSION: This study provides, and demonstrates how to easily apply, IRT-based item parameters for the CDR

Diagnostic utility of the Structured Inventory of Malingered Symptomatology for identifying psychogenic non-epileptic events.

The Structured Interview of Malingered Symptomatology (SIMS) is a self-report instrument that asks patients whether they experience atypical or implausible symptoms. The instrument has not been evaluated in an epilepsy population, and the potential for it to accurately distinguish between patients with psychogenic non-epileptic events (PNEE) and epileptic event groups has not been established. The SIMS was administered to patients in long-term video-EEG monitoring of these patients, 91 with PNEE and 29 with epilepsy were included in this study. Structured Interview of Malingered Symptomatology total scores as well as neurological and affective subscales were found to be predictors of group membership. Sensitivity and specificity across several different base rates of PNEE as well as maximum level likelihood ratios are presented. The findings not only demonstrate the utility of marked score elevations in differentiating PNEE from epilepsy but also point to considerable caution in interpreting mild elevations. Implications for the utility of this instrument in epilepsy evaluations are discussed.

Gaining precision on the Alzheimer's Disease Assessment Scale-cognitive: a comparison of item response theory-based scores and total scores.

BACKGROUND: The Alzheimer's Disease Assessment Scale-cognitive (ADAS-cog) is a commonly used measure for assessing cognitive dysfunction in patients with Alzheimer's disease (AD). The measure has 11 subscales, each of which captures an important aspect of cognitive dysfunction in AD. Traditional scoring of the ADAS-cog involves adding up the scores from the subscales without regarding their varying difficulty or their strength of relationship to AD-associated cognitive dysfunction. The present article analyzes problems associated with this approach and offers solutions for gaining measurement precision by modeling how the subscales function. METHODS: We analyzed data collected at the Baylor College of Medicine Alzheimer's Disease and Memory Disorders Clinic from 1240 patients diagnosed with varying degrees of dementia. Item response theory was used to determine the relationship between total scores on the ADAS-cog and the underlying level of cognitive dysfunction reflected by the scores. RESULTS: Results revealed that each total score corresponded to a spectrum of cognitive dysfunction, indicating that total scores were relatively imprecise indicators of underlying cognitive dysfunction. Furthermore, it was common for two individuals with the same total score to have significantly different degrees of cognitive dysfunction. CONCLUSIONS: These findings suggest that item response theory scoring of the ADAS-cog may measure cognitive dysfunction more precisely than a total score method.

The ecological validity of the Uniform Data Set 3.0 neuropsychological battery in individuals with mild cognitive impairment and dementia.

Objective: Ecological validity refers to the ability of neuropsychological measures to predict real world performance. Questions remain as to the ecological validity of commonly used measures, particularly regarding their relationships to global versus specific activities of daily living among those with neurodegenerative disease. We explored these issues through the lens of the Uniform Data Set 3.0 Neuropsychological battery (UDS3NB) in individuals with mild cognitive impairment and dementia. Method: UDS3NB and informant rated Functional Activities Questionnaire scales were evaluated from 2,253 individuals with mild cognitive impairment and dementia. Ordinal regression equations were used to explore the relationships of demographic and cognitive variables with overall and specific instrumental activities of daily living. Results: Delayed recall for visual and verbal material, and performance on trail making tests were consistent predictors of global and specific functions. Specific skills (i.e. naming or figure copy) showed differential relationships with specific activities, while phonemic fluency was not related to any particular activity. Conclusions: Measures in the UDS3NB predicted activities of daily living in individuals with MCI and dementia, providing initial support for the ecological validity of these tests. Specifically, measures that tap core deficits of Alzheimer's disease, such as delayed recall and sequencing/shifting, are consistent predictors of performance in daily tasks.

Correspondence of the Boston Naming Test and Multilingual Naming Test in identifying naming impairments in a geriatric cognitive disorders clinic.

Confrontation naming measures are commonly used for both diagnostic and clinical research purposes in populations of known or suspected neurodegenerative disorders. The Boston Naming Test (BNT) is the most widely used measure of confrontation naming but has been criticized for outdated and culturally biased content. A new naming measure, the Multilingual Naming Test (MiNT), has been developed that may address these limitations, but research regarding its validity and diagnostic performance relative to existing instruments is limited. The current study examined how the BNT and MiNT performed in a sample of older adults evaluated in an interprofessional memory disorders clinic. Eighty-six individuals (50.0% women) met the inclusion criteria and were included in the study. The average age of participants was 74.2 years (SD = 7.7), and the average education was 16.7 years (SD = 2.5). Most participants were non-Hispanic White (94.2%), and the remaining participants were Hispanic or Black. All participants completed a comprehensive evaluation in English and were administered both the BNT and the MiNT. The strength of agreement as indexed by CCC (.67) was modest for the sample as a whole. Eighty-seven-point five percent classification agreement for impaired vs. normal naming performance was obtained. Eleven cases showed disagreement between BNT and MiNT classification of impairment, with seven of these being borderline score cases. Overall, the results suggest that the MiNT performs similarly at the identification of naming impairments as the BNT, though performance may diverge across different diagnostic groups and may be influenced by age.