Lapid, Maria I.

Objective To describe the immediate clinical outcomes of repetitive transcranial magnetic stimulation (rTMS) in treating long COVID symptoms. Long COVID currently impacts approximately 5.3% of US adults, presenting with persistent fatigue, depression, anxiety, cognitive impairments, and social function decline. Repetitive transcranial magnetic stimulation targeting the left dorsolateral prefrontal cortex has improved these symptoms in some studies. Methods Five patients (ages 52–63 years, 3 female patients) underwent accelerated rTMS using intermittent theta burst stimulation (600 pulses over 3 minutes 20 seconds, 80%–120% of resting motor threshold) to the left dorsolateral prefrontal cortex. The treatment consisted of twice-daily sessions over 20–30 treatments. Outcomes were measured using the Patient-Reported Outcomes Measurement and Information System (PROMIS) questionnaires, assessing fatigue, depression, anxiety, cognitive function, and social function at baseline and immediately posttreatment. Results One patient discontinued immediately due to intolerable scalp pain. Posttreatment PROMIS scores showed the following: fatigue decreased from 74.5 to 61.8, depression from 60.3 to 51.5, and anxiety from 62.0 to 54.0. Scores increased for cognitive (26.8 to 32.3) and social (31.0 to 32.5) function. These changes, although not statistically significant, indicate a trend toward symptom reduction. Subjectively, 3 of 4 patients who completed the rTMS course reported improvements. Conclusion This case series suggests that rTMS may offer symptomatic relief in long COVID patients. Although the observed improvements in PROMIS were not statistically significant, even minimal improvements are clinically significant for patients enduring prolonged suffering. These preliminary findings are encouraging and underscore the need for further research with larger cohorts to validate the efficacy of rTMS in long COVID symptom relief.

Objectives Electroconvulsive therapy (ECT) is considered to be the most effective treatment for severe depression. This study investigated recent ECT outcomes for depression at a large tertiary center, which also provides community care. Methods Data were obtained from Mayo Clinic Rochester patients ages 18 and older who received an acute course of ECT between August 1, 2017 and April 30, 2024. Patients were included if there was a depressive disorder diagnosis (unipolar or bipolar) and a self-rated Patient Health Questionnaire-9 (PHQ-9) within 10 days of the start and end of the acute course. Patients were excluded if the starting PHQ-9 score was less than 10. The age, sex, number of acute course treatments, stimulus electrode lead placement, and PHQ-9 scores were collected. Response (PHQ-9 improvement ≥50%) and remission (PHQ-9 < 5) rates were calculated. Linear and logistic regressions were performed to investigate predictors of response and remission. Results Of 1206 patients identified, 408 met final inclusion and exclusion criteria. The response rate was 80.4%, and remission rate was 52.7%. Logistic regression for response showed no significant predictors; the P value for age just missed statistical significance (odds ratio, 1.0152; 95% confidence interval, 0.9991–1.0316; P = 0.0641). Logistic regression for remission showed only a lower baseline PHQ-9 score (odds ratio, 0.9465; 95% confidence interval, 0.9049–0.9891; P = 0.0152) as a significant predictor. Conclusions Our results affirmed the high efficacy of ECT in severe depression. No other established treatment for depression can report a response rate as high as 80% in a naturalistic study. This study supports the continued relevance and place of ECT for severe depression.

Purpose: Lucid episodes (LEs: unexpected episodes of spontaneous, meaningful, and relevant communication or behavior) in Alzheimer disease and related dementias are a new area of scientific inquiry that lacks clinical consensus and require more conceptual attention. Methods: We aimed to measure consensus from an expert group on: (1) potential medical or clinical explanations for LEs; (2) necessary medical and clinical context to LEs; and (3) interpretation of LEs. Patients: We convened 13 experts from different disciplines (neurology, psychiatry, psychology, pharmacy, palliative care, hospice, nursing, social work, primary care, geriatrics, and professional home caregivers) to identify elements of LEs. Results: Experts provided a range of opinions on medical and clinical explanations and questions to understand LEs. Consensus on LEs when presented with clinical vignettes was not reached. Panelists highlighted key medical and contextual factors needed to make a definitive judgement about LEs. Conclusion: There is variability in how LEs are interpreted by clinical experts, which complicates the identification of LEs in Alzheimer disease and related dementias.

ImportanceFrontotemporal lobar degeneration (FTLD) is relatively rare, behavioral and motor symptoms increase travel burden, and standard neuropsychological tests are not sensitive to early-stage disease. Remote smartphone-based cognitive assessments could mitigate these barriers to trial recruitment and success, but no such tools are validated for FTLD.ObjectiveTo evaluate the reliability and validity of smartphone-based cognitive measures for remote FTLD evaluations.Design, Setting, and ParticipantsIn this cohort study conducted from January 10, 2019, to July 31, 2023, controls and participants with FTLD performed smartphone application (app)–based executive functioning tasks and an associative memory task 3 times over 2 weeks. Observational research participants were enrolled through 18 centers of a North American FTLD research consortium (ALLFTD) and were asked to complete the tests remotely using their own smartphones. Of 1163 eligible individuals (enrolled in parent studies), 360 were enrolled in the present study; 364 refused and 439 were excluded. Participants were divided into discovery (n = 258) and validation (n = 102) cohorts. Among 329 participants with data available on disease stage, 195 were asymptomatic or had preclinical FTLD (59.3%), 66 had prodromal FTLD (20.1%), and 68 had symptomatic FTLD (20.7%) with a range of clinical syndromes.ExposureParticipants completed standard in-clinic measures and remotely administered ALLFTD mobile app (app) smartphone tests.Main Outcomes and MeasuresInternal consistency, test-retest reliability, association of smartphone tests with criterion standard clinical measures, and diagnostic accuracy.ResultsIn the 360 participants (mean [SD] age, 54.0 [15.4] years; 209 [58.1%] women), smartphone tests showed moderate-to-excellent reliability (intraclass correlation coefficients, 0.77-0.95). Validity was supported by association of smartphones tests with disease severity (r range, 0.38-0.59), criterion-standard neuropsychological tests (r range, 0.40-0.66), and brain volume (standardized β range, 0.34-0.50). Smartphone tests accurately differentiated individuals with dementia from controls (area under the curve [AUC], 0.93 [95% CI, 0.90-0.96]) and were more sensitive to early symptoms (AUC, 0.82 [95% CI, 0.76-0.88]) than the Montreal Cognitive Assessment (AUC, 0.68 [95% CI, 0.59-0.78]) (z of comparison, −2.49 [95% CI, −0.19 to −0.02]; P = .01). Reliability and validity findings were highly similar in the discovery and validation cohorts. Preclinical participants who carried pathogenic variants performed significantly worse than noncarrier family controls on 3 app tasks (eg, 2-back β = −0.49 [95% CI, −0.72 to −0.25]; P &amp;lt; .001) but not a composite of traditional neuropsychological measures (β = −0.14 [95% CI, −0.42 to 0.14]; P = .32).Conclusions and RelevanceThe findings of this cohort study suggest that smartphones could offer a feasible, reliable, valid, and scalable solution for remote evaluations of FTLD and may improve early detection. Smartphone assessments should be considered as a complementary approach to traditional in-person trial designs. Future research should validate these results in diverse populations and evaluate the utility of these tests for longitudinal monitoring.

Abstract The pathophysiological mechanisms driving disease progression of frontotemporal lobar degeneration (FTLD) and corresponding biomarkers are not fully understood. We leveraged aptamer-based proteomics (> 4,000 proteins) to identify dysregulated communities of co-expressed cerebrospinal fluid proteins in 116 adults carrying autosomal dominant FTLD mutations (C9orf72, GRN, MAPT) compared to 39 noncarrier controls. Network analysis identified 31 protein co-expression modules. Proteomic signatures of genetic FTLD clinical severity included increased abundance of RNA splicing (particularly in C9orf72 and GRN) and extracellular matrix (particularly in MAPT) modules, as well as decreased abundance of synaptic/neuronal and autophagy modules. The generalizability of genetic FTLD proteomic signatures was tested and confirmed in independent cohorts of 1) sporadic progressive supranuclear palsy-Richardson syndrome and 2) frontotemporal dementia spectrum syndromes. Network-based proteomics hold promise for identifying replicable molecular pathways in adults living with FTLD. ‘Hub’ proteins driving co-expression of affected modules warrant further attention as candidate biomarkers and therapeutic targets.

Background: Music therapy (MT) offers benefits of improved symptom relief and quality of life at the end of life, but its impact on hospice patients and caregivers needs more research. Objective: To assess the impact of MT intervention on symptom burden and well-being of hospice patients and caregivers. Methods: A total of 18 hospice patients, selected based on scores ≥4 on the revised Edmonton Symptom Assessment System (ESAS-r) items on pain, depression, anxiety, or well-being, participated in MT sessions provided by a board-certified music therapist. Over a period of 2-3 weeks, 3-4 MT sessions were conducted for each. Patient Quality of life (QOL) was assessed using the Linear Analogue Self-Assessment (LASA). Depression and anxiety were measured with the Patient Health Questionnaire-4 (PHQ-4). For the 7 caregivers enrolled, stress levels were measured using the Pearlin role overload measure and LASA. Results: Patients reported a reduction in symptom severity and emotional distress and an increase in QOL. All patients endorsed satisfaction with music therapy, describing it as particularly beneficial for stress relief, relaxation, spiritual support, emotional support, and well-being. Scores on overall QOL and stress were worse for caregivers. Conclusion: This study provides evidence that MT reduces symptom burden and enhances the quality of life for hospice patients. Hospice patients and their caregivers endorsed satisfaction with MT. Given the benefits observed, integrating MT into hospice care regimens could potentially improve patient and caregiver outcomes. Larger studies should be conducted to better assess the impact of MT in this population.

AbstractINTRODUCTIONThis study examined lucid episodes among people living with late‐stage Alzheimer's disease and related dementias (PLWD) and then developed a typology of these episodes to help characterize them.METHODSFamily caregivers of PLWD provided information about witnessed episodes, including proximity to death, cognitive status, duration, communication quality, and circumstances prior to lucid episodes on up to two episodes (caregiver N = 151; episode N = 279). Latent class analysis was used to classify and characterize empirically distinct clusters of lucid episodes.RESULTSFour lucid episode types were identified. The most common type occurred during visits with family and among PLWD who lived > 6 months after the episode. The least common type coincided with family visits and occurred within 7 days of the PLWD's death.DISCUSSIONFindings suggest that multiple types of lucid episodes exist; not all signal impending death; and some, but not all, are precipitated by external stimuli.

AbstractBackgroundThe DEMQOL (Dementia Quality of Life) scale is a patient reported questionnaire and proxy form that captures subjective life quality. Participants in ALLFTD and their Study Partners (SP) complete these questionnaires at each study visit.MethodWe analyzed the DEMQOL in participants and their SPs when the SP was reported to be a spouse or equivalent. Analyses focused on the final overall quality of life (QoL) rating for the participant (poor, fair, good, or very good).ResultDEMQOL responses from 907 dyads (participant: mean age 58.3±13.4 years, 44% female, and mean education 15.9±2.5 years) were analyzed. Participants rated their overall QoL as very good (45.8%), good (36.5%), fair (14%), and poor (3.5%). SPs rated their participant’s overall QoL as very good (33.6%), good (41%), fair (19.4%), and poor (6%). There was a discordance in ratings between participants and SPs (p<0.0001); in almost 50% of cases, participants rated their QoL better (33.2%) or worse (15.2%) than their SP rated their QoL. When considering disease severity (CDR®+NACC‐FTLD global score), participants rated their QoL better than their SP rated their QoL (CDR®+NACC‐FTLD = 0: 19.4%, CDR®+NACC‐FTLD = 0.5: 42%, and CDR®+NACC‐FTLD = 1+: 33.2%), worse than (CDR®+NACC‐FTLD = 0: 15.1%, CDR®+NACC‐FTLD = 0.5: 13.3%, and CDR®+NACC‐FTLD = 1+: 15.2%), or the same (CDR®+NACC‐FTLD = 0: 65.6%, CDR®+NACC‐FTLD = 0.5: 44.8%, and CDR®+NACC‐FTLD = 1+: 51.6%).ConclusionAmong participants and SPs, similarities and differences in QoL ratings are fairly consistent regardless of global CDR®+NACC‐FTLD rating. Generally, participants are equally or more optimistic about QoL than their SPs. Longitudinal analyses are forthcoming.

AbstractBackgroundGenetic mutations causative of familial fronto‐temporal lobar degeneration (f‐FTLD) are highly predictive of a specific proteinopathy, but there exists substantial inter‐individual variability in their system‐level pathophysiology, which can be assessed with 18Fluorodeoxyglucose‐positron emission tomography (FDG‐PET). Determining data‐driven patterns of network degeneration suggestive of underlying specific FTLD‐related genetic mutations is paramount to guide complex clinical decision making supported by the quantification of FDG‐PET.MethodWe collected clinical and FDG‐PET data from 39 patients with f‐FTLD, including 11 carrying the C9orf72 hexanucleotide expansion (1 asymptomatic, 9 with a predominant behavioral phenotype, 1 with a predominant language phenotype), 12 carrying a GRN mutation (1 asymptomatic, 7 behavioral, 4 language), and 16 carrying a MAPT mutation (6 asymptomatic, 10 behavioral). We performed a spectral covariance decomposition analysis between FDG‐PET images to yield latent patterns reflective of a distribution of metabolism opposing poles of relative hyper‐ and hypo‐metabolism across the entire brain (“eigenbrains” or EBs). We then conducted linear discriminant analyses (LDAs) to perform EB‐based multiclass predictions of genetic mutation and clinical phenotype.ResultThe spectral decomposition analysis yielded five eigenbrains, which explained 58.79% of the covariance between FDG‐PET images (Fig. 1). Gradients indicative of relative hypometabolism in left fronto‐temporo‐parietal areas distinguished GRN mutation carriers from other genetic mutations (EB1, EB2, EB4) and were associated with clinical phenotypes predominantly involving language (EB1, EB2, EB3). Conversely, those indicative of relative hypometabolism in prefrontal areas (EB3) and temporopolar areas (EB2) with a right hemispheric predominance were mostly associated with clinical phenotypes predominantly involving behavior/personality, and EB2 distinguished MAPT mutation carriers from other genetic mutations. The LDAs yielded accuracies of 80% and 75% in predicting genetic status and predominant clinical phenotype, respectively (Fig. 2).ConclusionFive EBs explained a high proportion of covariance in patterns of network degeneration across FTLD‐related genetic mutations. These EBs contained information relevant to the system‐level physiology associated with FTLD‐related pathogenic mechanisms and that allowed the prediction of clinical phenotype with relatively high accuracy. This supports the utility of FDG‐PET to guide the development of tools supporting clinical decision making and ongoing efforts to develop network‐based biomarkers to track disease progression and risk of phenoconversion in f‐FTLD.