Faculty Bibliography

BACKGROUND:There is significant heterogeneity related to the use of prophylactic antiseizure medications (ASM) following supratentorial craniotomy. METHODS:We conducted a systematic review and meta-analysis assessing ASM primary prophylaxis in adults hospitalized following supratentorial neurosurgery with no prior seizure history. The following population, intervention, comparator, and outcome (PICO) questions were assessed: (1) Should ASM versus no ASM be used as seizure prophylaxis in adult patients undergoing supratentorial neurosurgery? (2) If an ASM is used, should levetiracetam (LEV) or phenytoin/fosphenytoin (PHT) be preferentially used? and (3) Should a long (> 7 days) versus short (≤ 7 days) duration of prophylaxis be used? The main outcomes were early seizure (≤ 14 days), late seizures (> 14 days), adverse events, mortality, and functional and cognitive outcomes. We utilized Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology to generate recommendations. RESULTS:The initial literature search yielded 1988 articles, and 16 formed the basis of the recommendations. PICO 1: while meta-analysis of randomized controlled trials (RCTs) demonstrated a significant benefit for early seizure prevention, meta-analyses including all study designs was nonsignificant. Further, there were no differences in late seizure or mortality rates, and there was a trend toward higher adverse event rates with ASM. PICO 2: LEV was associated with significantly lower early seizure rates than PHT, and there were trends toward fewer late seizures and adverse events with LEV. PICO 3: only three studies examined the duration of ASM treatment, and there was no significant difference in seizure events between subjects treated for a short versus long duration. CONCLUSIONS:We suggest that either prophylactic ASM or no ASM be used for seizure prophylaxis in patients undergoing supratentorial neurosurgery (conditional recommendation, low quality of evidence). If an ASM is used, we suggest LEV over PHT (conditional recommendation, very low quality of evidence) for a short duration (conditional recommendation, very low quality of evidence).

OBJECTIVE:Cervical artery dissection (CeAD) may be limited to the extracranial extradural space or extend to the intradural space. Intradural extension can potentially increase the risk of stroke and subarachnoid hemorrhage. However, the factors associated with intradural extension and its impact on clinical outcome remain unclear. METHODS:This was a secondary analysis of the STOP-CAD observational, multi-center study. Patients with CeAD and intradural extension (CeADid) were compared with those with pure CeAD extradural dissections (CeADed) using multiple regression analyses. RESULTS:Of 4,023 patients with CeAD, 534 (13.3%) had CeADid. In comparison to patients with CeADed, those with CeADid more often had clinical overt stroke or transient ischemic attack (TIA) at presentation, acute infarcts on imaging, a vertebral artery affected, and severe stenosis of the involved vessel (p < 0.001 for all). In contrast, carotid involvement and complete occlusions were more frequent in patients with CeADed (p < 0.001 for both). CeADid was associated with a shift in the distribution of scores on the modified Rankin Scale (mRS) toward worse functional outcome (odds ratio [OR] = 0.76, 95% confidence interval [CI] = 0.62-0.92) but the odds for favorable outcomes (mRS = 0-2) did not differ between the groups after appropriate adjustments on multivariate analysis. CeADid was independently associated with higher mortality at 180 days on multivariate analysis (adjusted OR = 2.84, 95% CI = 1.50-5.38). INTERPRETATION/CONCLUSIONS:CeADid is associated with more severe clinical presentation, a shift toward less favorable outcomes, and higher mortality rates. These findings suggest that CeADid may represent a high-risk type of CeAD. ANN NEUROL 2026.

Head computed tomography (CT) imaging is a widely used imaging modality with multitudes of medical indications, particularly in assessing pathology of the brain, skull and cerebrovascular system. It is commonly used as the first-line imaging in neurologic emergencies given its rapidity of image acquisition, safety, cost and ubiquity. Deep learning models may facilitate detection of a wide range of diseases. However, the scarcity of high-quality labels and annotations, particularly among less common conditions, substantially hinders the development of powerful models. To address this challenge, we introduce FM-HCT, a Foundation Model for Head CT for generalizable disease detection, trained using self-supervised learning. Our approach pretrains a deep learning model on a large, diverse dataset of 361,663 non-contrast 3D head CT scans without the need for manual annotations, enabling the model to learn robust, generalizable features. Our results demonstrate that the self-supervised foundation model substantially improves performance on downstream diagnostic tasks compared to models trained from scratch and previous 3D CT foundation models trained on scarce annotated datasets.

BACKGROUND:Many survivors of hemorrhagic stroke have impaired communication. We aimed to identify preadmission, admission, and post-discharge factors associated with self-reported impaired communication after hemorrhagic stroke. DESIGN/METHODS:Patients with intracerebral or subarachnoid hemorrhage (ICH or SAH) admitted at an urban academic medical center were assessed 3-months post-bleed using the communication Quality of Life in Neurological Disorders (Neuro-QoL) short form inventory. Multivariate analysis was performed to evaluate the relationship between impaired communication (Neuro-QoL scaled score < 100) and preadmission, admission, and post-discharge factors. RESULTS:Of 108 patients (68 ICH and 40 SAH), 59 (54.6%) had impaired communication 3-months post-bleed. On multivariate analysis of the full cohort, when controlling for NIHSS score on admission, impaired communication was associated with: retirement prior to admission (OR: 8.18, 95% CI 1.95-40.5, p = 0.005), hospital length-of-stay (OR: 1.11, 95% CI 1.03-1.22, p = 0.012), and cognitive impairment post-bleed (OR: 32.1, 95% CI 8.93-146, p < 0.001). There were 43 (63.2%) ICH patients with impaired communication 3-months post-bleed. On multivariate analysis, impaired communication was associated with: retirement prior to admission (OR: 9.46, 95% CI 1.76-71.8, p = 0.014), supratentorial location (OR: 8.93, 95% CI 1.22-93.6, p = 0.043), hospital length-of-stay (OR: 1.21, 95% CI 1.01-1.45, p = 0.018), and cognitive impairment post-bleed (OR: 16.3, 95% CI 3.58-102, p < 0.001). CONCLUSIONS:Impaired communication after hemorrhagic stroke is more common in patients who were retired prior to admission and who have post-bleed comorbid cognitive impairment. Increased surveillance is recommended for retired and cognitively impaired patients. Additional investigation into the relationship between communication and both retirement status and cognitive impairment is needed.

OBJECTIVES/OBJECTIVE:Cervical artery dissection (CeAD) is an important cause of ischemic stroke in young adults. Nearly 100 million annual chiropractic cervical manipulations are performed in the United States. The relationship between manipulation and CeAD remains controversial. METHODS:We analyzed patients in the multicenter STOP-CAD registry (n=4023) to identify CeAD cases diagnosed after chiropractic cervical manipulation. Demographics and clinical features were compared between manipulation-associated and nonmanipulation-associated cases using χ2 and t tests. Multivariable logistic regression identified key factors associated with manipulation-related CeAD. RESULTS:About 1 in 20 CeAD cases in this registry reported antecedent cervical manipulation. In multivariable binary logistic regression, compared with patients without prior manipulation, those with prior manipulation were younger (OR per year 0.98, 95% CI: 0.97-0.99, P=0.014), more often female (OR: 1.64, 95% CI: 1.21-2.23, P=0.001), less often diabetic (OR: 0.24, 95% CI: 0.08-0.78, P=0.018), presented with neck pain (OR: 2.80, 95% CI: 2.08-3.77, P<0.001), and had higher odds of isolated vertebral artery dissection (OR: 2.15, 95% CI: 1.57-2.94, P<0.001). Recurrent ischemic stroke rates were similar between groups. CONCLUSIONS:Given the very high number of manipulations performed annually, the absolute risk of secondary CeAD is extremely low. Manipulation-associated cases have distinct clinical features, occurring more often in younger women with vertebral dissections. Whether manipulation acts as a precipitating trigger or patients with early CeAD symptoms seek manipulation remains unresolved.

INTRODUCTION/BACKGROUND:Though brain fog is common in Long-coronavirus disease 2019 (Long-COVID), the incidence of mild cognitive impairment (MCI) is unknown. METHODS:In an observational cohort study, recovered COVID-positive, Long-COVID, and COVID-negative subjects underwent blinded evaluation using National Alzheimer's Coordinating Center (NACC) and National Institute on Aging (NIA) -Alzheimer's Association diagnostic criteria for dementia and MCI. The cumulative incidence of MCI was calculated for each group, and the hazard of MCI was compared between groups. RESULTS:Among 260 subjects, the cumulative incidence of MCI over 4.4 years was higher with Long-COVID (27%) versus recovered-COVID (5%) or COVID-negative status (1%). There was a higher hazard of MCI for patients with Long-COVID compared to those without (hazard ratio [HR] 3.93, 95% confidence interval [CI] 1.86-8.31, p < 0.001), and specifically for the Alzheimer's disease (AD) -related MCI subtype (HR 3.20, 95% confidence interval [CI] 1.14-9.00, p = 0.027). DISCUSSION/CONCLUSIONS:The cumulative incidence and adjusted hazard of MCI (and specifically AD-related MCI) at 4.4 years was significantly higher among Long-COVID patients compared to recovered-COVID and COVID-negative controls.

INTRODUCTION/BACKGROUND:Choroid plexus (ChP) enlargement is a neuroimaging biomarker of neuroinflammation and neurodegeneration. However, evidence of ChP structural and perfusion alterations in long coronavirus disease (COVID) and their clinical relevance remains limited. METHODS:This study included 86 long COVID, 67 recovered COVID, and 26 COVID-negative healthy controls (HCs). ChP volume and cerebral blood flow (CBF) were quantified, and their associations with Alzheimer's disease (AD) symptoms and plasma biomarkers were examined. RESULTS:Both patient groups showed higher ChP volume and lower CBF than HC. Relative to recovered COVID, long COVID patients had a larger ChP volume, but no significant difference in CBF. ChP volume correlated positively with glial fibrillary acidic protein (r = 0.35) and phosphorylated tau217 (p-tau217; r = 0.54), while CBF correlated negatively with p-tau217 (r = -0.56). Both ChP volume and CBF were associated with cognitive decline measured with Mini-Mental State Examination and Clinical Dementia Rating. DISCUSSION/CONCLUSIONS:These findings suggest that ChP differences in long COVID are associated with AD-related cognitive decline and increased plasma biomarkers. HIGHLIGHTS/CONCLUSIONS:Long coronavirus disease (COVID) patients show choroid plexus (ChP) enlargement and reduced cerebral blood flow. ChP alterations are associated with Alzheimer's disease (AD)-related symptoms and plasma biomarker changes. ChP alterations on magnetic resonance imaging may serve as imaging markers for tracking neurological symptoms and AD-related pathology in post-COVID patients.

IMPORTANCE/UNASSIGNED:Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. OBJECTIVE/UNASSIGNED:To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. INTERVENTIONS/UNASSIGNED:Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. RESULTS/UNASSIGNED:A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, -0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, -0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, -0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, -0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. CONCLUSIONS AND RELEVANCE/UNASSIGNED:This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT05965739.

The Stroke Treatment Academic Industry Roundtable convened a workshop regarding artificial intelligence (AI) and innovative clinical trial designs during the Stroke Treatment Academic Industry Roundtable XIII meeting on March 28, 2025. This forum brought together stroke physicians and researchers, and industry representatives to discuss the current use and future opportunities for AI and novel trial designs in acute stroke trials. AI already plays a substantial role in the treatment of acute stroke with regards to imaging but is poised to have a much larger impact in clinical care and research trials over the coming years. The quality and understanding of the data are used to train the AI, the human element needed to ensure training is successful, and the clinician and trialist at the bedside, the humans "in the loop," will be necessary to maximize AI's effectiveness in clinical practice and trials. Platform trials address multiple scientific questions in an area of medicine simultaneously within the same trial structure by sharing controls across multiple interventions. While platform trials increase efficiency and potentially decrease the time needed to answer important clinical scientific questions, they also can introduce complexity to standard workflows. Future acute ischemic stroke clinical trials should incorporate elements of pragmatic and patient-centered trial design when possible. Pragmatic trials aim to assess the effectiveness of treatments when they are implemented into routine clinical care rather than under idealized conditions. AI models and platform, pragmatic, and patient-centered trial designs are new tools to answer important clinical questions, but understanding how they work, their best uses, and their limitations is critical for accelerating successful new treatments for stroke.

It is well recognized that many pandemic viruses are associated with neurologic complications, most recently with COVID-19. After the outbreak of the COVID-19 pandemic, neurologic surveillance platforms were implemented to characterize the complications of COVID-19. Surveillance platforms are invaluable in providing timely data, informing clinical practice, and directing future research. Lessons learned from recent neurologic surveillance networks include the importance of global and cross-specialty collaboration. It is critical for future surveillance systems to consider these aspects, as it will also serve to improve representation of low and middle-income countries (LMICs) and communities. Trainees played a critical role in the success of neurologic surveillance networks; as frontline health care workers, they were able to provide timely data collection, and their fresh insights are important for future pandemic surveillance system development. In this article, we review the methods of recent neurologic surveillance networks and discuss their strengths and limitations. We explore the outlook for pandemic surveillance platforms and the crucial role global collaboration plays in ensuring that LMICs are represented. We review the role of trainees in pandemic surveillance networks and discuss how it is vital to encourage their continued involvement to ensure that, as future health care leaders, they are prepared to manage future pandemics effectively.