Expansion of a frontostriatal salience network in individuals with depression.

Hundreds of neuroimaging studies spanning two decades have revealed differences in brain structure and functional connectivity in depression, but with modest effect sizes, complicating efforts to derive mechanistic pathophysiologic insights or develop biomarkers. 1 Furthermore, although depression is a fundamentally episodic condition, few neuroimaging studies have taken a longitudinal approach, which is critical for understanding cause and effect and delineating mechanisms that drive mood state transitions over time. The emerging field of precision functional mapping using densely-sampled longitudinal neuroimaging data has revealed unexpected, functionally meaningful individual differences in brain network topology in healthy individuals, 2-5 but these approaches have never been applied to individuals with depression. Here, using precision functional mapping techniques and 11 datasets comprising n=187 repeatedly sampled individuals and >21,000 minutes of fMRI data, we show that the frontostriatal salience network is expanded two-fold in most individuals with depression. This effect was replicable in multiple samples, including large-scale, group-average data (N=1,231 subjects), and caused primarily by network border shifts affecting specific functional systems, with three distinct modes of encroachment occurring in different individuals. Salience network expansion was unexpectedly stable over time, unaffected by changes in mood state, and detectable in children before the subsequent onset of depressive symptoms in adolescence. Longitudinal analyses of individuals scanned up to 62 times over 1.5 years identified connectivity changes in specific frontostriatal circuits that tracked fluctuations in specific symptom domains and predicted future anhedonia symptoms before they emerged. Together, these findings identify a stable trait-like brain network topology that may confer risk for depression and mood-state dependent connectivity changes in frontostriatal circuits that predict the emergence and remission of depressive symptoms over time.

The utility of word list and story recall for identifying older U.S. Chinese immigrants with cognitive impairment.

OBJECTIVE: This study examined the utility of the Chinese-language translations of the word list memory test (Philadelphia Verbal Learning Test) and story memory test (Logical Memory subtest of the Wechsler Memory Scale) for differentiating cognitive diagnosis in older U.S. Chinese immigrants. METHOD: Participants were ≥ 60 years old, with Chinese language proficiency to complete a diagnostic workup at the Mount Sinai's Alzheimer's Disease Research Center. The workup included an evaluation by a geriatric psychiatrist and cognitive testing with a psychometrician. Diagnosis of normal, mild cognitive impairment (MCI), and dementia was made independent of the cognitive tests at consensus led by a dementia expert physician. Multivariable logistic regression models were used to assess the sensitivity of story and word list memory tests for distinguishing between groups. Receiver operating characteristic (ROC area/area under the curve [AUC]) was used to compare the predictive accuracy of the two tests. RESULTS: The sample included 71 participants with normal cognition, 42 with MCI, and 24 with dementia. The MCI group was older and less educated than normal controls but younger and more educated than the dementia group. Delayed recall of both memory tests, but not immediate recall of either test, predicted diagnosis. While composite memory score of word list (AUC = 0.90) predicted diagnosis slightly better than that of stories (AUC = 0.85), the difference was not significant in this small sample (p = .14). CONCLUSIONS: Chinese-language translations of verbal memory tests, in particular delayed recall scores, were equally sensitive for classifying cognitive diagnosis in older U.S. Chinese immigrants. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Ketamine versus ECT for Nonpsychotic Treatment-Resistant Major Depression.

BACKGROUND: Electroconvulsive therapy (ECT) and subanesthetic intravenous ketamine are both currently used for treatment-resistant major depression, but the comparative effectiveness of the two treatments remains uncertain. METHODS: We conducted an open-label, randomized, noninferiority trial involving patients referred to ECT clinics for treatment-resistant major depression. Patients with treatment-resistant major depression without psychosis were recruited and assigned in a 1:1 ratio to receive ketamine or ECT. During an initial 3-week treatment phase, patients received either ECT three times per week or ketamine (0.5 mg per kilogram of body weight over 40 minutes) twice per week. The primary outcome was a response to treatment (i.e., a decrease of ≥50% from baseline in the score on the 16-item Quick Inventory of Depressive Symptomatology-Self-Report; scores range from 0 to 27, with higher scores indicating greater depression). The noninferiority margin was -10 percentage points. Secondary outcomes included scores on memory tests and patient-reported quality of life. After the initial treatment phase, the patients who had a response were followed over a 6-month period. RESULTS: A total of 403 patients underwent randomization at five clinical sites; 200 patients were assigned to the ketamine group and 203 to the ECT group. After 38 patients had withdrawn before initiation of the assigned treatment, ketamine was administered to 195 patients and ECT to 170 patients. A total of 55.4% of the patients in the ketamine group and 41.2% of those in the ECT group had a response (difference, 14.2 percentage points; 95% confidence interval, 3.9 to 24.2; P<0.001 for the noninferiority of ketamine to ECT). ECT appeared to be associated with a decrease in memory recall after 3 weeks of treatment (mean [±SE] decrease in the T-score for delayed recall on the Hopkins Verbal Learning Test-Revised, -0.9±1.1 in the ketamine group vs. -9.7±1.2 in the ECT group; scores range from -300 to 200, with higher scores indicating better function) with gradual recovery during follow-up. Improvement in patient-reported quality-of-life was similar in the two trial groups. ECT was associated with musculoskeletal adverse effects, whereas ketamine was associated with dissociation. CONCLUSIONS: Ketamine was noninferior to ECT as therapy for treatment-resistant major depression without psychosis. (Funded by the Patient-Centered Outcomes Research Institute; ELEKT-D ClinicalTrials.gov number, NCT03113968.).

Evaluating memory testing to distinguish dementia severity among White, Black, and Spanish-speaking individuals in the Uniform Data Set (UDS).

INTRODUCTION: Little work has compared the effectiveness of using multiple types of memory tests alone or in combination to distinguish dementia severity in diverse research cohorts including Black individuals and Spanish speakers. Here we evaluate word list and paragraph recall tests to distinguish cognitively normal, mild cognitively impaired, and those with Alzheimer's disease in diverse cohorts. METHODS: Using Uniform Data Set (UDS) and site-specific supplemental data, logistic regression models and receiver operating characteristic-area under the curve were used to compare paragraph recall versus word list in differentiating among Clinical Dementia Rating (CDR) scale level. RESULTS: Results reveal high discriminability for all groups and no difference between either test in distinguishing between CDR levels. Combining tests improved discriminability for the whole group but did not for Black individuals or Spanish speakers. DISCUSSION: Our findings indicate that using multiple memory tests may not improve differentiation between cognitive impairment levels for diverse cohorts. The burden of added testing may be a barrier for maximizing inclusion of under-represented groups in research.

The use of subjective cognitive complaints for detecting mild cognitive impairment in older adults across cultural and linguistic groups: A comparison of the Cognitive Function Instrument to the Montreal Cognitive Assessment.

INTRODUCTION: This pilot study aims to explore the psychometric properties of the Cognitive Function Instrument (CFI) as a measure of subjective cognitive complaints (SCC) and its performance in distinguishing mild cognitive impairment (MCI) from normal control (NC) compared to an objective cognitive screen (Montreal Cognitive Assessment [MoCA]). METHODS: One hundred ninety-four community-dwelling non-demented older adults with racial/ethnic diversity were included. Unidimensionality and internal consistency of the CFI were examined using factor analysis, Cronbach's alpha, and McDonald's omega. Logistic regression models and receiver operating characteristic (ROC) analysis were used to examine the performance of CFI. RESULTS: The CFI demonstrated adequate internal consistency; however, the fit for a unidimensional model was suboptimal. The CFI distinguished MCI from NC alone or in combination with MoCA. ROC analysis showed comparable performance of the CFI and the MoCA. DISCUSSION: Our findings support the use of CFI as a brief and easy-to-use screen to detect MCI in culturally/linguistically diverse older adults. HIGHLIGHT: What is the key scientific question or problem of central interest of the paper? Subjective cognitive complaints (SCCs) are considered the earliest sign of dementia in older adults. However, it is unclear if SCC are equivalent in different cultures. The Cognitive Function Instrument (CFI) is a 14-item measure of SCC. This study provides pilot data suggesting that CFI is sensitive for detecting mild cognitive impairment in a cohort of older adults with racial/ethnic diversity. Comparing performance, CFI demonstrates comparable sensitivity to the Montreal Cognitive Assessment, an objective cognitive screening test. Overall, SCC may provide a non-invasive, easy-to-use method to flag possible cognitive impairment in both research and clinical settings.

Detecting Cognitive Impairment and Dementia in the Emergency Department: A Scoping Review.

OBJECTIVES: To identify research and practice gaps to establish future research priorities to advance the detection of cognitive impairment and dementia in the emergency department (ED). DESIGN: Literature review and consensus-based rankings by a transdisciplinary, stakeholder task force of experts, persons living with dementia, and care partners. SETTING AND PARTICIPANTS: Scoping reviews focused on adult ED patients. METHODS: Two systematic scoping reviews of 7 medical research databases focusing on best tools and approaches for detecting cognitive impairment and dementia in the ED in terms of (1) most accurate and (2) most pragmatic to implement. The results were screened, reviewed, and abstracted for relevant information and presented at the stakeholder consensus conference for discussion and ranked prioritization. RESULTS: We identified a total of 1464 publications and included 45 to review for accurate tools and approaches for detecting cognitive impairment and dementia. Twenty-seven different assessments and instruments have been studied in the ED setting to evaluate cognitive impairment and dementia, with many focusing on sensitivity and specificity of instruments to screen for cognitive impairment. For pragmatic tools, we identified a total of 2166 publications and included 66 in the review. Most extensively studied tools included the Ottawa 3DY and Six-Item Screener (SIS). The SIS was the shortest to administer (1 minute). Instruments with the highest negative predictive value were the SIS (vs MMSE) and the 4 A's Test (vs expert diagnosis). The GEAR 2.0 Advancing Dementia Care Consensus conference ranked research priorities that included the need for more approaches to recognize more effectively and efficiently persons who may be at risk for cognitive impairment and dementia, while balancing the importance of equitable screening, purpose, and consequences of differentiating various forms of cognitive impairment. CONCLUSIONS AND IMPLICATIONS: The scoping review and consensus process identified gaps in clinical care that should be prioritized for research efforts to detect cognitive impairment and dementia in the ED setting. These gaps will be addressed as future GEAR 2.0 research funding priorities.

Agitation in Cognitive Disorders: Use of the National Alzheimer's Coordinating Center Uniform Data Set (NACC-UDS) to Evaluate International Psychogeriatric Association Definition.

OBJECTIVE: Consensus-based definition of agitation by the International Psychogeriatric Association (IPA) has not been evaluated in community-based samples who are not preselected for behavioral disturbances. Here, we use a well-characterized cohort of community-dwelling older adults with cognitive impairment to assess the IPA criteria associated with agitation to evaluate the construction of this diagnostic entity. METHODS: We used the National Alzheimer Coordinating Center Unified Data Set (NACC-UDS) to construct the IPA consensus-based provisional definition of agitation in cognitive impairment (N = 19,424). We used clinician diagnosis of agitation as a gold standard in those with mild cognitive impairment and dementia and used the Neuropsychiatric Inventory-Questionnaire to define agitation symptoms and standardized assessments of function (including the Functional Assessment Scale and Clinical Dementia Rating Scale Sum of Boxes) to assess "excess disability." We also examined patterns of psychiatric comorbidities to determine if they were consistent with IPA criteria. RESULTS: There was agreement between the selected NPI measure of agitation and clinician judgment (sensitivity = 0.79, specificity = 0.69, Cohen's Kappa = 0.304). More than 84% of those with clinician judgment of agitation and 74% of those meeting the scale-based definition of agitation demonstrated excess social/functional disability. Comorbid psychiatric symptoms were present in 38% of the sample without agitation and higher in those with agitation by either definition. CONCLUSION: Agitation ranges between 15% and 48% in those with cognitive impairment. The pattern of level of excess disability and the presence of comorbid psychiatric symptoms is consistent with the profile of published definitions.

Evaluating the Beijing Version of Montreal Cognitive Assessment for Identification of Cognitive Impairment in Monolingual Chinese American Older Adults.

Objective: This study aims to evaluate the performance of a Chinese version of the Montreal Cognitive Assessment (MoCA) as a screener to detect mild cognitive impairment (MCI) and dementia from normal cognition in the monolingual Chinese-speaking immigrant population. Method: A cohort of 176 Chinese-speaking older adults from the National Alzheimer's Coordinating Center Uniform Data Set is used for analysis. We explore the impact of demographic variables on MoCA performance and calculate the optimal cutoffs for the detection of MCI and dementia from normal cognition with appropriate demographic adjustment. Results: MoCA performance is predicted by age and education independent of clinical diagnoses, but not by sex, years of living in the U.S., or primary Chinese dialect spoken (i.e., Mandarin vs. Cantonese). With adjustment and stratification for education and age, we identify optimal cutoff scores to detect MCI and dementia, respectively, in this population. These optimal cutoff scores are different from the established scores for non-Chinese-speaking populations residing in the U.S. Conclusions: Our findings suggest that the Chinese version of MoCA is a valid screener to detect cognitive decline in older Chinese-speaking immigrants in the U.S. They also highlight the need for population-based cutoff scores with appropriate considerations for demographic variables.

The 32-Item Multilingual Naming Test: Cultural and Linguistic Biases in Monolingual Chinese-Speaking Older Adults.

OBJECTIVES: This study describes the performance of the Multilingual Naming Test (MINT) by Chinese American older adults who are monolingual Chinese speakers. An attempt was also made to identify items that could introduce bias and warrant attention in future investigation. METHODS: The MINT was administered to 67 monolingual Chinese older adults as part of the standard dementia evaluation at the Alzheimer's Disease Research Center (ADRC) at the Icahn School of Medicine at Mount Sinai (ISMMS), New York, USA. A diagnosis of normal cognition (n = 38), mild cognitive impairment (n = 12), and dementia (n = 17) was assigned to all participants at clinical consensus conferences using criterion sheets developed at the ADRC at ISMMS. RESULTS: MINT scores were negatively correlated with age and positively correlated with education, showing sensitivity to demographic factors. One item, butterfly, showed no variations in responses across diagnostic groups. Inclusion of responses from different regions of China changed the answers from "incorrect" to "correct" on 20 items. The last five items, porthole, anvil, mortar, pestle, and axle, yielded a high nonresponse rate, with more than 70% of participants responding with "I don't know." Four items, funnel, witch, seesaw, and wig, were not ordered with respect to item difficulty in the Chinese language. Two items, gauge and witch, were identified as culturally biased for the monolingual group. CONCLUSIONS: Our study highlights the cultural and linguistic differences that might influence the test performance. Future studies are needed to revise the MINT using more universally recognized items of similar word frequency across different cultural and linguistic groups.

Smartphone ownership and usage in Chinese- and English-speaking older adults.

BACKGROUND: Data collection by smartphone is becoming more widespread in healthcare research. Previous studies reported racial/ethnical differences in the use of digital health technology. However, cross-language group comparison (Chinese- and English-speaking older adults) were not performed in these studies. This project will expand to smartphone technology use in diverse older populations with a focus on Chinese American older adults who are monolingual Chinese-speakers. METHOD: The Alzheimer's Disease Research Center (ADRC) at Icahn School of Medicine at Mount Sinai (ISMMS) evaluates diverse older populations using National Alzheimer's Coordinating Center's Uniform Data Set (NACC UDS). The UDS has different language versions, including English and Chinese. The evaluation includes a medical examination, cognitive assessments, and a research blood draw. Smartphone ownership and usage were captured using a local questionnaire developed by our ADRC. The questionnaire, available in English and Chinese, was administered by our ADRC coordinators during the COVID-19 pandemic. Multivariate analysis of variance (MANOVA) was used to examine differences in technology ownership and usages between the two language groups, while controlling for age, gender, education, and cognitive status (measured by Clinical Dementia Rating). RESULT: 33 Chinese- and 117 English-speaking older adults who received a diagnosis of normal cognition or mild cognitive impairment at consensus were included in the data analysis. Results reveal a high prevalence of smartphone ownership in our Chinese- (100%) and English-speaking older participants (86.3%). Participants in both language groups use mobile technology for a wide range of purposes, such as getting news and other information (Chinese=90.9%; English=87.2%), sending/receiving text (Chinese=97.0%; English=96.6%), watching videos/TV shows (Chinese=78.8%; English=69.2%), and taking classes (Chinese=57.5%; English=57.3%). However, Chinese-speaking older adults were less likely than English-speaking older adults to use mobile technology to post their own reviews or comments online (Chinese=9.1%; English=39.3%, p=0.001), download or purchase an app (Chinese=21.2%; English=70.9%, p<0.001), track health/ fitness via apps/website (Chinese=12.1%; English=47.9%, p<0.001) and manage/receive medical care (Chinese=15.2%; English=67.5%, p<0.001). CONCLUSION: Our findings highlight potential barriers to smartphone usage in Chinese American older adults with limited English proficiency. The results have implications for how smartphone technology can be used in clinical practice and aging research.

Adapting Alzheimer Disease and Related Dementias Clinical Research Evaluations in the Age of COVID-19.

In March 2020, the novel coronavirus (COVID-19) became a global pandemic that would cause most in-person visits for clinical studies to be put on pause. Coupled with protective stay at home guidelines, clinical research at the Icahn School of Medicine at Mount Sinai Alzheimer's Disease Research Center (ISMMS ADRC) needed to quickly adapt to remain operational and maintain our cohort of research participants. Data collected by the ISMMS ADRC as well as from other National Institute on Aging (NIA) Alzheimer Disease centers, follows the guidance of the National Alzheimer Coordinating Center (NACC). However, at the start of this pandemic, NACC had no alternative data collection mechanisms that could accommodate these safety guidelines. To stay in touch with our cohort and to ensure continued data collection under different stages of quarantine, the ISMMS ADRC redeployed their work force to continue their observational study via telehealth assessment. On the basis of this experience and that of other centers, NACC was able to create a data collection process to accommodate remote assessment in mid-August. Here we review our experience in filling the gap during this period of isolation and describe the adaptations for clinical research, which informed the national dialog for conducting dementia research in the age of COVID-19 and beyond.

Prevalent, persistent, and impairing: Longitudinal course and impact of apathy in Alzheimer's disease.

INTRODUCTION: Understanding of the natural history of apathy and its impact on patient function is limited. This study examines, in a large, national sample of Alzheimer's disease (AD) patients with long follow-ups: (1) prevalence, incidence, and persistence of apathy, and (2) impact of apathy on function across dementia severity. METHODS: A longitudinal study of 9823 well-characterized AD patients in the National Alzheimer's Coordinating Center Uniform Data Set. RESULTS: Apathy was highly prevalent across disease severity with cumulative prevalence of 48%, 74%, and 82% in Clinical Dementia Rating (CDR) 0.5, 1.0, and 2.0, respectively. Persistence of apathy from clinician judgment varied from visit to visit at earlier disease stages but remained high at moderate dementia. Independent of cognition, persistent apathy was strongly associated with accelerated rate of functional decline. DISCUSSION: Findings point to important targets for the treatment and management of apathy, include functional outcomes, and study designs that account for variable persistence of the apathy syndrome.

Design Considerations for Mobile Health Applications Targeting Older Adults.

Mobile technologies are becoming ubiquitous in the world, changing the way we communicate and provide patient care and services. Some of the most compelling benefits of mobile technologies are in the areas of disease prevention, health management, and care delivery. For all the advances that are occurring in mobile health, its full potential for older adults is only starting to emerge. Yet, existing mobile health applications have design flaws that may limit usability by older adults. The aim of this paper is to review barriers and identify knowledge gaps where more research is needed to improve the accessibility of mobile health use in aging populations. The same observations might apply to those who are not elderly, including individuals suffering from severe mental or medical illnesses.

Retrospective Chart Review of Voluntary Admissions to an Inpatient Psychiatric Hospital in New York City: A Demographic Breakdown.

The current paper evaluates psychiatric needs of voluntary admissions in a large urban psychiatric hospital through a retrospective chart review, as this research is limited within the United States. A total of 581 voluntary adult psychiatric admission charts were reviewed. Continuous variables were evaluated using an ANOVA while associations between variables were examined by an unadjusted Pearson correlation coefficient a stepwise linear regression analysis. Men were significantly more likely to have a past admission for psychiatric services (p = .016), suicidal ideation (p < .001) and test positive for substances (p < .001) than women, and were more likely to be unemployed, homeless and without insurance. Women were more likely to have a past suicide attempt and a depressive disorder. A significant relationship between gender and rationale for seeking voluntary admission (p < .001) was found. This study offers understanding of male and female voluntary admissions, and a foundation for improving treatment interventions to reduce recurrent readmissions.

Patient Requests for Discharge from Voluntary Psychiatric Hospitalization: a Chart Review.

The purpose of this study was to examine the rate of 72-hour letters (written requests for discharge, with 72 hours indicating the time the hospital has to discharge or seek retention) placed by voluntary psychiatric inpatients at a New York City hospital and determine whether there are factors contributing to the rates of discharge requests. Charts from all voluntary psychiatric hospitalizations during the calendar year 2007 were retrospectively reviewed. Included were all single voluntary admissions by adults (age 18 years and older) to the hospital. A confirmatory factor analysis (CFA) was conducted with the following factors: urine toxicology, cigarette use on admission, suicidal ideation upon presentation, employment, past inpatient psychiatric admission, and admission day. A linear regression was used to evaluate the relationship between discharge requests and these factors. Of the total sample (N = 581), 119 (20.5%) patients submitted 72-hour letters. The stepwise linear regression analysis confirmed a positive relationship between letter placement and admission day (M = 3.5, SD = 1.7), unemployment (M = 4.7, SD = 2.1), suicidal ideation (M = .5, SD = .5), positive urine toxicology (M = .47, SD = .5), previous psychiatric hospitalization (M = .7, SD = .5) and cigarette usage (M = .5, SD.5) R2 = .043, (6, 461) = 3.42, p = .003). These specific variables accounted for 55.6% of likelihood of a patient submitting a 72-hour letter. Several factors, related to substance and tobacco use, employment, and recurrent use of inpatient services, likely contribute to requests for early discharge. Addressing these factors may help improve inpatient care, reduce costs and improve patient outcomes in the long term.