Citations

Abstract Nerve conduction F-wave studies contain crucial information about subclinical motor dysfunction that can be used to diagnose patients with amyotrophic lateral sclerosis (ALS). However, F-wave responses are highly variable in morphology, making waveform interpretation challenging. Artificial intelligence techniques can extract time–frequency features to provide new insights into ALS diagnosis and prognosis. A retrospective analysis was performed on F-wave responses from 46 802 patients. Discrete wavelet transforms were applied to time-series waveform responses after stimulating ulnar, median, fibular and tibial nerves. Wavelet coefficient statistics, onset age, sex and body mass index were features for training a Gradient Boosting Machine model on 40 095 patients (5329 diagnosed with motor neuron disease). Model performance was tested on responses from 689 ALS patients meeting Gold Coast criteria and 689 age- and sex-matched controls. An exploratory analysis examined model performance on cohorts of patients with inclusion body myositis, cervical radiculopathy, lumbar radiculopathy or peripheral neuropathy, which can mimic ALS symptoms. Factors affecting survival were estimated through Cox proportional hazards regression. The model trained using wavelet features on the full waveform had 90% recall, 87% precision and 88% accuracy. Similar model performance was measured using features from only the M-wave or F-wave. Classification probabilities for ALS patients were statistically different from the diagnoses mimicking ALS symptoms (P < 0.001, ANOVA, Tukey’s post hoc test). Higher model classification probabilities of ALS, older age at onset, and family history of ALS alone or with frontotemporal dementia were factors decreasing survival. Longer diagnostic delay and upper limb onset site were factors increasing survival. Model scores two standard deviations below the mean had 4 months increased survival (two standard deviations below had 3 months decreased survival). Artificial intelligence techniques extracted important information from F-wave responses to estimate a patient’s likelihood of ALS and their survival risks. Although the model can make predictions at a specific decision threshold as presented here, the true strength of such a model lies in its ability to provide probabilities about whether a patient is likely to have ALS in comparison to other mimicking diagnoses, such as inclusion body myositis, cervical or lumbar radiculopathy or peripheral neuropathy. These probabilities provide clinicians with additional information that they can use to make the final diagnosis with greater confidence and precision. Integrating such a model into the clinical workflow could help clinicians to diagnose ALS sooner and manage treatment based on estimated survival, which might improve outcomes and the quality of life of patients.

AbstractBackgroundIndividuals with spinal cord injury (SCI) commonly have autonomic dysreflexia (AD) with increased sympathetic activity. After SCI, individuals have decreased baroreflex sensitivity and increased vascular responsiveness.ObjectiveTo evaluate the relationship between baroreflex and blood vessel sensitivity with AD symptoms.DesignCase control.SettingTertiary academic center.Patients14 individuals with SCI, 17 matched uninjured controls.InterventionsAll participants quantified AD symptoms using the Autonomic Dysfunction Following SCI (ADFSCI)‐AD survey. Participants received three intravenous phenylephrine boluses, reproducibly increasing systolic blood pressure (SBP) 15–40 mmHg. Continuous heart rate (R‐R interval, ECG), beat‐to‐beat blood pressures (Finapres), and popliteal artery flow velocity were recorded. Vascular responsiveness (α1 adrenoreceptor sensitivity) and heart rate responsiveness to increased SBP (baroreflex sensitivity) were calculated.Main Outcome MeasuresBaroreflex sensitivity after increased SBP; Vascular responsiveness through quantified mean arterial pressure (MAP) 2‐minute area under the curve and change in vascular resistance.ResultsSCI and control cohorts were well matched with mean age 31.9 and 29.6 years (p = .41); 21.4% and 17.6% female, respectively. Baseline MAP (p = .83) and R‐R interval (p = .39) were similar. ADFSCI‐AD scores were higher following SCI (27.9 ± 22.9 vs. 4.2 ± 2.9 in controls, p = .002). To quantify SBP response, MAP area under the curve was normalized to dose/body weight. Individuals with SCI had significantly larger responses (0.26 ± 0.19 mmHg*s/kg*μg) than controls (0.06 ± 0.06 mmHg*s/kg*μg, p = .002). Similarly, leg vascular resistance increased after SCI (24% vs. 6% to a normalized dose, p = .007). Baroreflex sensitivity was significantly lower after SCI (15.0 ± 8.3 vs. 23.7 ± 9.3 ms/mmHg, p = .01). ADFSCI‐AD subscore had no meaningful correlation with vascular responsiveness (R2 = 0.008) or baroreflex sensitivity (R2 = 0.092) after SCI.ConclusionsAlthough this confirms smaller previous studies suggesting increased α1 adrenoreceptor sensitivity and lower baroreflex sensitivity in individuals with SCI, contrary to our hypothesis these differences lacked correlation to increased symptoms of AD. Further research into physiologic mechanisms is needed to explain why some individuals with SCI develop symptoms.

ABSTRACTBackgroundOlfactory neuroblastoma (ONB) is a rare sinonasal malignancy primarily treated with surgery. For tumors arising from the olfactory area, traditional treatment involves transcribriform resection of the anterior cranial fossa. Surgery can be performed with unilateral or bilateral resection depending on extent of involvement; however, there are currently no studies comparing outcomes between the two.MethodsProspective and retrospective data on primary ONB patients were collected from a multicenter registry involving eight academic sites. Propensity score matching (PSM) was used to create patient cohorts with similar baseline characteristics. Cox proportional hazards and Kaplan Meier analyses assessed overall survival (OS). Logistic regression assessed associations between extent of resection (unilateral versus bilateral) and tumor recurrence or postoperative cerebrospinal fluid (CSF) leak.ResultsA total of 187 ONB patients (47.6% female) with an average age of 53.6 ± 15.1 years were analyzed. Most tumors were unilateral (81.3%) and predominantly Kadish C (58.3%) or Hyams II (55.8%). Overall, 56.7% of patients underwent bilateral resection. Fifty‐four patients experienced tumor recurrence and nine had postoperative CSF leaks. Following PSM (n = 45/group), extent of resection was not associated with mortality (hazard ratio [HR] 1.73; p = 0.407) or OS (p = 0.400). There was no association between extent of resection and recurrence (odds ratio [OR] 0.90; p = 0.814) or postoperative CSF leak (OR 1.54; p = 0.647).ConclusionsFor ONB tumors where unilateral resection may be feasible and oncologically sound, the decision for unilateral versus bilateral resection showed no significant effect on survival, recurrence, or postoperative CSF leak. Oncologic outcomes may be comparable when resection is tailored to individual patient and tumor characteristics.

Abstract There are ~100 genes or copy number variants (CNVs) used in genetic testing for Autism Spectrum Disorder (ASD, or autism). These genes are protein-coding, and the associated phenotypes often extend beyond socio-behavioral traits seen in autism including cognitive/medical complexities, epilepsy, and ADHD. Here, we characterize 27 males with ASD through whole genome sequencing (WGS), delineating X-chromosome microdeletions that implicate the long non-coding RNA (lncRNA) PTCHD1-AS as an ASD-susceptibility gene (OR=2.56, p=0.01). Two Ptchd1-as knockout (KO) murine models, created by removing the evolutionarily conserved exon-3, show ASD-like features in males, increasing repetitive behaviors and impairing typical social behavior and communication without overt cognitive comorbidities or ADHD-like behaviors. Hippocampus-dependent synaptic function, complex learning, and locomotor activity are unaffected in KO mice. Native nuclear-enriched mouse Ptchd1-as showed sustained expression from post-natal day-7 onward in the dorsal striatum, a predominantly GABAergic brain region implicated in ASD. Multi-omics revealed transcriptomic alterations in striatal oligodendrocyte, astrocyte and neurons impacting myelination and plasticity pathways. Disrupting Ptchd1-as led to reductions in conventional Protein Kinase-C, altered Src and GSK3α/β phosphorylation, and an enhancement of synaptic plasticity (long-term potentiation and long-term depression). Together, these findings implicate striatal molecular and circuit level dysregulation via Ptchd1-as in ASD etiology.

ABSTRACTThe development of new first‐line treatments for patients with follicular lymphoma (FL) is becoming increasingly challenging due to already excellent survival outcomes. The present study investigated the outcomes of patients with FL who underwent contemporary first‐line therapies but would not have been eligible for inclusion in recent trials and explored how commonly used in/exclusion criteria impacted their survival outcomes. This study included adult patients diagnosed with FL in the period 2000–2018 registered in the Danish Lymphoma Registry. Through searches on ClinicalTrials.gov, four recent 1st line phase 3 randomized controlled trials with R‐Bendamustine, R‐CVP, and/or R‐CHOP as control or experimental arms were included. Inclusion and exclusion criteria for each trial were retrieved and categorized. Patients were then divided into trial‐eligible and ineligible groups according to blood test results correlated to organ function and ECOG performance score (PS). Survival outcomes were significantly worse among trial‐ineligible patients, with adjusted differences between trial‐eligible and ineligible patients of 12%–20% in five‐year overall survival (OS) overall. Inclusion criteria based on PS and renal function were the main drivers of OS differences. More inclusive trials will lead to faster recruitment and secure focus on developing medicines for the group of patients with the worst outcomes.

AbstractBackgroundTraumatic encephalopathy syndrome (TES) is the proposed clinical syndrome of the neurodegenerative disease chronic traumatic encephalopathy (CTE). As part of the 2021 TES NINDS consensus diagnostic criteria, certainty levels of underlying CTE neuropathology can be determined (i.e., suggestive, possible, probable) partially based on the presence/absence of supportive psychiatric features including but not limited to depression, anxiety, and apathy. These are ‘supportive’ because of their non‐specificity and unclear biological correlates in this setting. We examined the association between CSF biomarkers of amyloid, tau, neurodegeneration, microglial activation and neuroinflammation and supportive psychiatric features of TES in former American football players.MethodThe sample included 180 male former football players (120 professional, 60 college) from the DIAGNOSE CTE Research Project. Participants completed a lumbar puncture, and CSF assays were conducted for biomarkers of amyloid (Aβ40, Aβ42), p‐tau (p‐tau181, p‐tau231, p‐tau217), neurodegeneration (total tau), axonal degeneration (NfL), microglial activation (strem2) and neuroinflammation (GFAP, IL‐6). Biomarkers were log‐transformed. The Apathy Evaluation Scale (AES), Beck Depression Inventory‐II (BDI‐II) and the Beck Anxiety Inventory (BAI) self‐report questionnaires were completed by participants. Multivariable regression models tested the association between each CSF biomarker and each scale, controlling for age, race, body mass index, revised Framingham stroke risk profile and Alcohol Use Disorders Identification Test. P‐values were adjusted for multiple comparisons using false discovery rate methods.Result140 participants had successful LPs and available CSF for assays. 33(22%) reported moderate/severe anxiety, 34(22%) reported moderate/severe depression, and 51(33%) had an elevated AES score. Higher CSF concentrations of IL‐6 were associated with higher scores on the BAI (unstandardized‐β=0.016, 95%CI [0.017, 0.026], padj=0.004), BDI‐II (unstandardized‐β=0.013, 95%CI [0.004, 0.021], padj=0.008) and AES (unstandardized‐β=0.014, 95%CI [0.006,0.022], padj=0.002). There were no significant relationships between other biomarkers with the BDI‐II, BAI or AES.ConclusionIn this sample of former American football players, there were significant associations between IL‐6 (a proinflammatory cytokine) and reported symptoms of depression, anxiety, and apathy. CSF biomarkers of amyloid, tau and neurodegeneration had no associations, highlighting the role of neuroinflammatory processes in the manifestation of psychiatric symptoms of TES. Continued research on the biological correlates of TES features will inform future iterations of the criteria.

AbstractBackgroundThere is a strong link between tau and progression of Alzheimer’s disease (AD), necessitating an understanding of tau spreading mechanisms. Prior research, predominantly in typical AD, suggested that tau propagates from epicenters (regions with earliest tau) to functionally connected regions. However, given the constrained spatial heterogeneity of tau in typical AD, validating this connectivity‐based tau spreading model in AD variants with distinct tau deposition patterns is crucial.MethodWe included 269 amyloid‐β‐positive (PET/CSF) individuals with clinically diagnosed atypical AD (113 posterior cortical atrophy, PCA‐AD; 83 logopenic variant primary progressive aphasia, lvPPA‐AD; 33 behavioural variant AD, bvAD; 40 corticobasal syndrome, CBS‐AD) and 68 with typical AD from 12 international cohorts, who underwent tau‐PET (54% [18F]AV1451/[18F]flortaucipir/Tauvid, 27% [18F]MK6240, 19% [18F]PI2620). Using Gaussian mixture modeling including amyloid‐β‐negative controls, cross‐sectional tau‐PET standardized uptake value ratios within Schaefer‐200 atlas regions were transformed to tau positivity probabilities. Tau epicenters were defined as the 5% regions with highest tau positivity probabilities. For each variant, the association between functional connectivity‐based distance (using the 30% strongest positive region‐to‐region connections of a group‐average connectivity matrix from ADNI elderly controls) and tau‐PET covariance (group‐average correlation per region pair) was assessed through linear regression, adjusting for age, sex, site, and Euclidean distance. Regions were categorized based on functional proximity to the epicenter (quartiles 1‐4) and tau positivity probabilities were assessed accordingly.ResultTau positivity probabilities matched clinical variants, with a posterior pattern in PCA‐AD, left‐hemispheric dominant pattern in lvPPA‐AD, widespread pattern in bvAD, sensorimotor cortex involvement in CBS‐AD, and temporo‐parietal predominance in typical AD (Figure 1). In line with this, tau epicenters were highly heterogeneous across variants (Figure 1). In all variants, greater tau‐PET covariance was associated with shorter functional connectivity‐based distance (Figure 2). We observed that regions in closer functional proximity to the epicenter exhibited higher tau positivity probabilities than regions functionally further away (p<0.05, Figure 3).ConclusionThis multi‐center study shows that the brain’s functional architecture serves as a universal predictor of tau spreading in AD. Since tau is a key driver of neurodegeneration and cognitive decline in AD, this finding holds potential for personalized medicine and defining participant‐specific endpoints in clinical trials.