Alden, Eva

Abstract BACKGROUND Cognitive symptoms are common among cancer patients treated with intracranial radiation but inadequately assessed and suboptimally treated, owing in part to the time-consuming and resource-intensive nature of formal neuropsychological testing. Through remote administration of brief cognitive assessments and symptom-directed interventions, decentralization uniquely addresses this problem. METHODS In this single-site phase 2 fully decentralized clinical trial (NCT06377696), patients treated with radiation therapy (RT) for primary or metastatic brain tumors undergo cognitive evaluations with the application, Mayo Test Drive, and the Short Test of Mental Status (STMS; via telehealth or in person), at baseline and every three months for one year. Participants are provided wearable devices for health promotion. Half the participants are randomized to metformin to evaluate this agent’s efficacy in treating RT-related cognitive symptoms. Target enrollment is 100 participants. RESULTS Seventy-three patients (median age 45.5, 46% female) with brain tumors who received RT were enrolled May 2024 to May 2025. In this unplanned interim analysis, we evaluated the impact of decentralization on study participation. Thirty-six participants (49%) reported a primary residence greater than 150 miles from our institution. Seven patients were consented remotely, the remainder in person. Of 380 study-related visits (201 STMS, 179 treatment toxicity checks) 216 (57%) were completed by telehealth. Thirty-two of 336 (9.5%) study-related lab draws were completed at locations outside our institution. Wearable device data was continuously collected, with median 3022 steps tracked per patient per day on study. 190/250 (76%) quality-of-life surveys sent digitally were completed to date. CONCLUSION Decentralization implemented as part of this clinical trial enabled participation despite significant distance from our institution and facilitated study-related assessments through digital solutions, eliminating the need for travel. Our findings demonstrate the feasibility of conducting a fully decentralized supportive care trial in neuro-oncology, which can increase participation and accelerate evaluation of novel therapeutics.

Abstract BACKGROUND Understanding long-term sequelae of cancer care is critical. Cognitive impairment is a common and disabling survivorship issue. Because sex influences tumor biology, therapy exposure, and dementia risk, we examined whether cancer care for a prior malignancy alters late-life cognitive outcomes differently in males and females. METHODS We assessed adults ≥50 years, cognitively normal at study entry, from a longitudinal, population-based cohort (Mayo Clinic Study of Aging). Participants were linked to our institutional cancer registry (excluding non-melanoma skin cancers). Mild cognitive impairment (MCI) and dementia were adjudicated by consensus. We fitted multivariable Cox proportional-hazards models to estimate how prevalent cancer diagnosis influenced the risk of developing MCI/dementia. Sex-specific effects were determined by incorporating a cancer×sex interaction term and by generating separate hazard ratios. Analyses were controlled for age, APOE4 status, education, and presence of vascular/metabolic conditions. RESULTS 5793 MCSA participants (female: 49.4%, APOE4 positive: 27.5%) were included in the study, with a mean age of 73 years at study entry. Incident MCI was recorded in 866 participants, and 737 were diagnosed with incident dementia. About 20% (n=1176) of the cohort had a cancer diagnosis, most commonly prostate (n=423) and breast (n=277). There was no independent relationship between history of cancer and risk for MCI or dementia. We found that males with cancer had an increased risk for MCI (HR 1.28, 95% CI 1.04-1.57, p=0.003) and dementia (HR 1.29, 95% CI 1.04-1.6, p=0.053). Conversely, females with cancer had a lower risk for MCI (HR 0.79, 95% CI 0.61-1.01, p=0.063), although this was not statistically significant. CONCLUSIONS Our data suggests male cancer survivors may be more susceptible to cognitive impairment, independent of age, APOE4 status, education, and vascular/metabolic burden. Elucidating the hormonal, treatment-related, and systemic pathways driving this should be a priority for future mechanistic studies.

e13891 Background: Most patients with central nervous system (CNS) malignancy develop cognitive impairment, fatigue, and mood-related symptoms that are impacted by cancer and treatment, including radiation therapy. We currently have limited therapies to mitigate neurocognitive toxicity. It is important to accurately assess neurocognitive function and symptom burden when working to establish therapeutics. The objective of this trial is to assess the effectiveness of therapies aimed at improving neurocognitive function and quality of life by leveraging a decentralized approach incorporating an established digital neurocognitive assessment tool and development of a remote symptom collection/medication log to improve capture of longitudinal neurocognitive data. Methods: This is an open-label decentralized clinical trial (NCT06377696) that randomizes patients who have received intracranial radiation for primary and secondary brain tumors in a 1:1 allocation to health promotion with a wearable device +/- metformin (targeting radiation-related toxicity). Remote symptom collection is reported through digital patient surveys. Medication adherence is being monitored through a digital medication log developed for the study. Remote neurologic examination is performed by clinical neuro-oncologists at telehealth visits. Participants perform serial remote cognitive assessments with an established digital neurocognitive testing platform – Mayo Test Drive (MTD). Cognitive assessments and symptom surveys were designed to be completed on a smartphone, tablet, or computer device. Results: The study started enrollment on May 31, 2024. As of January 27, 2025, 54 of 100 planned participants have enrolled (27 on each arm). 51 participants remain active on trial; 3 withdrew from trial participation (2 prior to treatment, 1 after treatment). The overall completion rate for a quality-of-life questionnaire (EORTC QLQ-C30) is 85.0%, and each dose of metformin logged is 78.5%. The overall completion rate for virtual neurologic examination and short test of mental status is 94.7%. For MTD, the overall completion rate is 97.9%. The average MTD session duration was 16 minutes. Most participants completed MTD testing using a smartphone (90.5%) at home (89.1%). Conclusions: These results provide preliminary support that a decentralized trial assessing neurocognitive outcomes is feasible in patients with CNS malignancy. The completion rates of questionnaires and objective cognitive evaluation are comparable or higher than expected with historic norms. Final study results will provide real-world cognitive and quality-of-life data for patients with CNS tumors while providing preliminary data on the effectiveness of device-based health promotion +/- metformin for treatment related cognitive decline. Clinical trial information: NCT06377696 .

Abstract Temporal lobe epilepsy is a common neurological disease characterized by recurrent seizures that often originate within limbic networks involving amygdala and hippocampus. The limbic network is involved in crucial physiologic functions involving memory, emotion and sleep. Temporal lobe epilepsy is frequently drug-resistant, and people often experience comorbidities related to memory, mood and sleep. Deep brain stimulation targeting the anterior nucleus of the thalamus (ANT-DBS) is an established therapy for temporal lobe epilepsy. However, the optimal stimulation parameters and their impact on memory, mood and sleep comorbidities remain unclear. We used an investigational brain sensing-stimulation implanted device to accurately track seizures, interictal epileptiform spikes (IES), and memory, mood and sleep comorbidities in five ambulatory subjects. Wireless streaming of limbic network local field potentials (LFPs) and subject behaviour were captured on a mobile device integrated with a cloud environment. Automated algorithms applied to the continuous LFPs were used to accurately cataloged seizures, IES and sleep-wake brain state. Memory and mood assessments were remotely administered to densely sample cognitive and behavioural response during ANT-DBS in ambulatory subjects living in their natural home environment. We evaluated the effect of continuous low-frequency and duty cycle high-frequency ANT-DBS on epileptiform activity and memory, mood and sleep comorbidities. Both low-frequency and high-frequency ANT-DBS paradigms reduced seizures. However, continuous low-frequency ANT-DBS showed greater reductions in IES, electrographic seizures and better sleep and memory outcomes. These results highlight the potential of synchronized brain sensing and dense behavioural tracking during ANT-DBS for optimizing neuromodulation therapy. While studies with larger patient numbers are needed to validate the benefits of low-frequency ANT-DBS, these findings are potentially translatable to individuals currently implanted with ANT-DBS systems.

Abstract BACKGROUND Fatigue is among the most common symptoms managed by patients with cancer. Hypothalamic pituitary axis dysfunction has an established role in a subset of patients with fatigue. Our primary aim was to longitudinally assess the impact of hypothalamic radiation exposure to patient self-reported fatigue. METHODS We included a sample of patients who received radiation therapy treated at a single institution from 2014-2024. The PROMIS-10 questionnaire (“How would you rate your fatigue on average,” scale 1-5) was used in standard clinical practice, with measures from 6 time points over 2 years. We performed descriptive statistics. Linear mixed models were used to assess the impact of hypothalamic radiation dose on fatigue scores. Mixed models were controlled for gender, age, time, tumor category (CNS vs. non-CNS), and modality (photon vs. proton). Models were fit with random intercepts for each Patient ID. RESULTS 1092 patients (43% female) with a median age of 54 years (range: 18-92) were included. Most patients were treated for CNS cancer (76%), with about 50% each photon and proton. Median hypothalamus radiation dose was 1306 cGy (range: 0.01-6138). Mean baseline fatigue (2.4) increased after treatment (2.7) remaining elevated at 3- and 6-months post-treatment (2.6, 2.5), returning near baseline at 1- and 2-years post-treatment (2.4, 2.3). Higher radiation dose (Estimate (SE): 0.014 (0.006), p=0.0266) and CNS cancer treatment (0.11 (0.051), p=0.0319) were significant predictors of higher fatigue in the mixed model. Male patients (-0.16 (0.042), p=0.0001) and time (-0.003 (0.0016), p=0.0398) were associated with lower fatigue. Age and treatment modality were not significant predictors of fatigue. CONCLUSIONS We found that higher hypothalamic radiation dose was related to more self-reported fatigue, which peaked by 6 months. This effect was seen more prominently in female patients and those treated for CNS disease. Treatment modality and age did not influence fatigue scores.

OBJECTIVE Stereoelectroencephalography (SEEG) has become the predominant method for intracranial seizure localization. When imaging, semiology, and scalp EEG findings are not in full agreement or definitively localizing, implanted SEEG recordings are used to test candidate seizure onset zones (SOZs). Discovered SOZs may then be targeted for resection, laser ablation, or neurostimulation. If an SOZ is eloquent, resection and ablation are both contraindicated, so identifying functional representation is crucial for therapeutic decision-making. The authors present a novel functional brain mapping technique that utilizes task-based electrophysiological changes in SEEG during behavioral tasks and test this in pediatric and adult patients. METHODS SEEG was recorded in 20 patients with epilepsy who ranged in age from 6 to 39 years (12 female, 18 of 20 patients < 21 years of age) and underwent implanted monitoring to identify seizure onset. Each performed 1) visually cued simple repetitive movements of the hand, foot, or tongue while electromyography was recorded; and 2) simple picture-naming or verb-generation speech tasks while audio was recorded. Broadband changes in the power spectrum of the SEEG recording were compared between behavior and rest. RESULTS Electrophysiological functional mapping of movement and/or speech areas was completed in all 20 patients. Eloquent representation was identified in both cortex and white matter and generally corresponded to classically described functional anatomical organization as well as other clinical mapping results. Robust maps of brain activity were identified in healthy brain, regions of developmental or acquired structural abnormality, and SOZs. CONCLUSIONS Task-based electrophysiological mapping using broadband changes in the SEEG signal reliably identifies movement and speech representation in pediatric and adult epilepsy patients.

TPS1647 Background: The majority of patients with primary and secondary central nervous system (CNS) malignancy develop cognitive impairment, fatigue, and mood-related symptoms. Radiotherapy has been shown to contribute to symptom burden often limiting quality of life and functional status. The development of interventions mitigating neurocognitive toxicity requires an accurate assessment of function and symptom burden. Formal neuropsychological evaluation is resource and time intensive, and often challenging to incorporate in routine clinical practice. There is a critical need to accurately assess cognition without causing undue burden to cancer patients while evaluating the efficacy of interventions that can be scaled and implemented at a population level. Methods: To adequately assess the neurocognitive function and related symptoms in patients with CNS malignancy we have designed an open-label decentralized clinical trial that will randomize patients who received intracranial radiation for primary or metastatic brain tumors in a 1:1 allocation to a therapy targeting radiation-related toxicity (metformin shipped to patient home) plus health promotion with a wearable device vs. health promotion with a wearable device alone. Participants will be stratified based on tumor type (glioblastoma vs. other glioma vs. brain metastases vs. meningioma) and age (<70 vs. 70+ years). Participants will be provided a wearable device for monitoring health status. Participants will undergo serial remote cognitive assessments with the Mayo Test Development Through Rapid Iteration, Validation and Expansion platform (Mayo Test Drive). Remote reported symptom collection via patient surveys and remote neurologic examination by telehealth will also be incorporated. Cognitive assessments and symptom surveys will be designed for completion on a smartphone, tablet, or computer device. Health data will be collected from the wearable device, including the number of steps per day and sleep quality/duration. Participants receiving metformin will utilize device apps to report medication adherence and adverse events. Study-related laboratory assessments will be completed remotely and transmitted electronically. This decentralized clinical trial will provide real-world cognitive and quality-of-life data for patients with primary and metastatic brain tumors while providing preliminary data on the effectiveness of device-based health promotion with or without metformin for treating radiation-related cognitive decline. Results gained from this study will guide future trials in neuro-oncology and other fields. This study is expected to open in March 2024.