Journal of Neurology, Neurosurgery & Psychiatry

Background: Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disease with no known cure. Disease progression in people living with ALS is heterogeneous, hindering personalized treatment development. The current gold standard for measuring disease progression in ALS, the ALS Functional Rating Scale - Revised (ALSFRS-R), is widely used but based on subjective measurements. Blood-based neurofilament light (NfL) has been studied as a diagnostic and prognostic biomarker but less information exists on its utility as a disease progression biomarker. Methods: We present results from blood draws of 300 participants in the FDA-funded Clinic-Based Multi-Site ALS Natural History and Biofluid study of the ALS Natural History Consortium (NHC). Plasma NfL levels were measured and analyzed against different disease progression metrics based on the ALSFRS-R. Results: NfL levels were found to be correlated with the ALSFRS-R average rate of change (r=-0.53, 95% CI -0.62 to -0.42). This association differed at a cutoff value of 61 pg/mL, with stronger correlations below this cutoff (r=-0.51 vs r=-0.18). Survival differed stratifying by this cutoff value, with participants under the cutoff having higher survival probabilities. The predictive value of NfL when predicting time to death was higher compared with the first ALSFRS-R across different event horizons. A model including both was better when predicting events up to 2 years after diagnosis. Conclusions: These results highlight the utility of NfL as a disease progression biomarker in ALS alongside ALSFRS-R based disease progression metrics. The cutoff value can aid in clinical trial stratification, pragmatic trial planning, and clinical care.

Persistent neurological symptoms are among the most disabling manifestations of post-COVID-19 syndrome (PCS), yet the contribution of ongoing CNS immune activation remains uncertain. CSF studies including clinically relevant COVID-19 recovered control cohorts are scarce. In this prospective single-center study, we enrolled 50 patients fulfilling the WHO criteria for PCS (COVIDpost, mean age +/- standard deviation [SD] 43.41 +/- 11.99 years, 30 % male, 70 % female) and 50 individuals who had fully recovered from COVID-19 (COVIDreco, mean age +/- SD 39.38 +/- 13.45, 42 % male, 58 % female). Both cohorts were comparable regarding age (p = 0.07), sex (p = 0.30), and education (p = 0.84). All participants underwent paired CSF and serum analyses together with comprehensive neuropsychological assessment. Routine CSF parameters, blood-CSF barrier integrity, oligoclonal bands (OCB), SARS-CoV-2 RNA in CSF and blood, pathogen-specific antibody indices, and neuronal autoantibodies were investigated. Despite marked differences in cognitive performance (p < 0.001) and fatigue severity (p < 0.001), patients with PCS showed no evidence of disease-specific CSF abnormalities compared to recovered controls. Routine CSF parameters, blood-CSF barrier dysfunction, CSF-restricted OCB, SARS-CoV-2 RNA in CSF and blood, intrathecal SARS-CoV-2 antibody synthesis, polyspecific antiviral immune responses, and neuronal autoantibodies were comparable between groups. SARS-CoV-2-specific IgG concentrations in CSF correlated positively with serum concentrations (COVIDpost: r [95%CI] = 0.78 [0.62 - 0.87]; COVIDreco: r [95%CI] = 0.86 [0.75 - 0.92]; both p < 0.001) and albumin quotient (COVIDpost: r [95%CI] = 0.52 [0.26 - 0.71], p < 0.001; COVIDreco: r [95%CI] = 0.37 [0.10 - 0.60]; p = 0.01), consistent with passive transfer across the blood-CSF barrier rather than compartmentalized intrathecal immune activation. Furthermore, SARS-CoV-2-specific antibody measures were not associated with cognitive performance (p > 0.72) or fatigue severity (p > 0.88). This study provides no evidence that persistent neurological symptoms after COVID-19 are accompanied by ongoing adaptive CNS immune activation, disease-specific neuronal autoimmunity, or intrathecal SARS-CoV-2-specific humoral immune responses. The inclusion of a carefully phenotyped COVID-19 recovered comparison cohort strengthens the conclusion that routine CSF abnormalities largely do not seem to reflect mechanisms specific to PCS. These findings argue against routine CSF diagnostics as a source of disease-specific biomarkers in unselected PCS patients and support future studies focusing on alternative mechanisms underlying persistent neurological symptoms.

Background and Objectives. Prion disease is an untreatable, typically rapidly progressive dementia. New drug candidates designed to lower prion protein are now entering clinical trials. To support future pivotal trials, we sought to assemble and analyze a public dataset of natural history data characterizing the symptomatic course of prion disease in order to provide a quantitative basis for modelling and rational trial design. Methods. We extracted data from medical publications between 2000 and 2024 reporting on n[&ge;]5 prion disease patients. Information about demographics, ascertainment, and clinical milestones, such as time from onset to death, akinetic mutism, diagnostic testing and outcomes, were extracted for aggregate cohorts of [&ge;]2 patients and individual patient-level data (PLD). We computed summary statistics of cohorts and PLD, visualized survival through forest plots and Kaplan-Meier curves, analyzed covariates regarding survival, and identified biases and heterogeneity within the literature. Results. From 245 included publications we extracted 418 aggregate cohort medians and 1,400 rows of individual PLD. 90% of cohorts and 91% of individual patients had symptom-to-death milestones, while only 7% and 11% had a time interval from a clinical presentation milestone to death, respectively. Symptom-to-death intervals varied as much as 3.2-fold even between cohorts of the same histopathologic subtype, and akinetic mutism occurred 73% sooner than death when both endpoints were reported (N=53). Indicators of disease severity, such as a cognitive test, were rarely present in either aggregate data (11%) or PLD (6%). Discussion. Data routinely reported in publications can quantify diagnostic delay and covariates affecting survival time, but are limited in ability to inform pivotal trial design because most such data are aggregated, cross-sectional, lack indicators of disease severity, and present timelines beginning with onset rather than more relevant clinical milestones, such as diagnosis, that may better reflect the moment of potential for trial enrollment. There is a need for clinical data to report milestones such as intervals from diagnosis to death, for longitudinal cognitive and functional scores, and for deposition of publicly accessible PLD.

Background: Therapy development in ultra-rare, progressive and fatal diseases like vanishing white matter (VWM) is hampered by very low patient numbers and ethical constraints regarding placebo-controlled studies. Under such conditions, standard randomized controlled trials may not be feasible. The use of historical control information could be part of a solution, but would require extra considerations regarding selection of patients and choice of endpoints. We used the VWM registry as a case study to outline key methodological considerations for informing trial design in ultra-rare disease. Methods: The study included 462 patients, available in the VWM registry. Prospective clinical data were collected since 2004 using VWM-specific questionnaire and Health Utility Index (HUI) assessments, while retrospective data from clinical charts were available from 1988 on. We evaluated methodological aspects relevant to trial design, including patient selection, drift in the disease course over time, endpoint selection, and clinically relevant stratification into subgroups. Results: Regarding patient selection, patients with comorbidities impacting disease course, and pre-symptomatic individuals without clinical onset were considered not suitable as historical controls. After excluding patients before 1991, we found no evidence of drift in the disease course from 1991 onwards. Regarding choice of endpoints, episodes of rapid decline were relatively infrequent and occurred mostly at disease onset, limiting their usefulness as trial endpoint. Multi-state modelling and clinical evaluation showed ambulation as preferable endpoint over survival. For longitudinal HUI multiscores, baseline imputation allowed modelling of early disease. The scores showed a distinct ordering, reflecting the association between multi-domain function and disease progression. Regarding stratification, the combination of data-driven analyses and clinical expertise informed revised age of onset groups. Females showed later onset and milder disease; adjustment for age of onset eliminated the effect of sex. Conclusion: This case study provides key considerations for evaluating registry data as historical control and demonstrates how these considerations can inform clinical trial design in ultra-rare diseases.

Background: The primary neuroanatomical site of Huntington-s disease (HD) pathology resides in the striatum and its atrophy identifies important disease progression from HD-ISS Stage 0 to Stage 1. Immune-associated proteins may capture variation in HD that is incompletely represented by markers of neuroaxonal injury. Objectives: To determine whether cerebrospinal-fluid myeloperoxidase contributes information about striatal volume loss beyond genetic disease burden and neurofilament light. Methods: Cross-sectional data from 88 persons with HD were analyzed. Cerebrospinal-fluid myeloperoxidase and neurofilament light were measured with a nucleic acid-linked immunosandwich assay. Normalized putamen volume was derived from structural magnetic resonance imaging. Linear regression adjusted for genetic disease burden and sex. Results: Higher neurofilament light was associated with smaller normalized putamen volume (standardized {beta} = -0.322, (P=.0066)). Higher myeloperoxidase was associated with larger normalized putamen volume after adjustment for genetic disease burden, sex, and neurofilament light (standardized {beta} = 0.183, (P=.0386)). Adding myeloperoxidase increased explained variance in striatal loss. Conclusions: Cerebrospinal fluid myeloperoxidase contributed modest incremental information about striatal volume in this cross-sectional sample. Independent longitudinal studies are needed to determine its biological source, temporal behavior, and potential biomarker value. Findings advance efforts to characterize multicomponent biological markers of HD.

Acute traumatic spinal cord injury comprises a primary mechanical injury followed by a delayed secondary cellular injury cascade. No current monitoring modality directly detects ongoing cellular damage or its response to treatment. Essentially all spinal serotonin derives from descending raphe-spinal projections that travel alongside spinal motor and sensory pathways. Experimental spinal cord injury results in a robust release of serotonin into the surrounding interstitial tissue. We therefore asked whether cerebrospinal fluid 5-hydroxyindoleacetic acid (5-HIAA), the stable metabolite of serotonin, tracks primary and secondary spinal cord injury in humans. In this prospective observational cohort study at a single level-one trauma center, cerebrospinal fluid was collected at 8-hour intervals for up to 5 days through indwelling lumbar drains from 11 participants with acute cervical or thoracic traumatic spinal cord injuries (American Spinal Injury Association Impairment Scale [AIS] grade A-C) and from 7 non-injured control participants. Cerebrospinal fluid 5-HIAA was quantified by high-performance liquid chromatography. Participants with acute traumatic spinal cord injury demonstrated a reproducible rise in cerebrospinal fluid 5-HIAA within 12 hours of injury that regressed toward control values. Two participants neurologically declined during the 5-day observation period, and in both a delayed secondary 5-HIAA elevation accompanied the decline; in one participant this elevation coincided with a documented episode of critical spinal cord hypoperfusion and resolved within 8 hours of its correction. Across the cohort, the 5 participants with a secondary 5-HIAA elevations above 400 nM more than 36 hours after index trauma were AIS A at 12 months regardless of initial injury severity, whereas all 6 participants without a secondary elevation in cerebrospinal fluid 5-HIAA levels were AIS C or better. In this small exploratory cohort, cerebrospinal fluid 5-HIAA was associated with the presence of acute traumatic spinal cord injury, with acute secondary neurological decline, and with long-term motor outcome. Unlike glial fibrillary acidic protein and neurofilament light chain, whose concentrations evolve over days to weeks, 5-HIAA rose and regresses within hours, a kinetic profile compatible with real-time detection of secondary injury and confirmation of treatment response. These findings are hypothesis-generating and require validation in larger, multicenter cohorts before clinical application.

INTRODUCTION Myasthenia gravis (MG) and Lambert-Eaton myasthenic syndrome (LEMS) are autoimmune diseases of the neuromuscular junction resulting in fatigable muscle weakness. Rituximab (RTX) is used to treat patients refractory to standard immunosuppression, but evidence for its efficacy remains inconsistent. Here, we analyzed real-world data on the clinical course and side effects of RTX in MG and LEMS patients. METHODS This was a single-center study of all patients diagnosed with MG (n=64) or LEMS (n=5) treated with RTX from 2011 until 2021. Outcomes of RTX treatment were recorded retrospectively with Myasthenia Gravis Foundation of America Post-Intervention Status (MGFA-PIS), number of rescue therapies, myasthenic crises, and steroid dose at 1-year and 2-year follow-ups. RESULTS MGFA-PIS improved at both 1-year (y) and 2-y follow-up compared with baseline. Incidence rates of rescue therapies per 100 person-months (95% CI) decreased from 15.0 (11.8-18.8) at baseline to 7.5 (4.7-12.3) at 1-y and 4.3 (2.5-7.8) at 2y-follow-up. The number of patients without myasthenic crises within one year increased from baseline (49, 86.0%) to 1y-follow-up (55, 96.5%). Median (IQR) daily steroid dose decreased from 10 (5-22.5) mg/d at baseline to 4 (0-10) mg/d at 1y-follow-up, and to 2.5 (0-10) mg/d at 2y-follow-up. CONCLUSION This study indicates that RTX was associated with a stabilized clinical course and decreased steroid use in patients with autoimmune myasthenic syndromes, including those with thymoma-associated MG. Our data suggest that therapeutic benefit is apparent within the first year of treatment and is maintained through two years.

INTRODUCTION: Biomarkers for monitoring disease activity and treatment response in peripheral neuropathies remain limited. Big tau, a high-molecular-weight isoform of tau, is predominantly expressed in the peripheral nervous system (PNS). We investigated serum levels of big tau, brain-derived tau (BD-tau), and neurofilament light chain (NfL) in peripheral neuropathies, multiple sclerosis (MS), Alzheimer disease (AD), and healthy controls (HC). METHODS: Ultra-sensitive blood-based assays run on an HD-X Single Molecule Array analyser (Quanterix) were used to measure big tau and BD-tau in serum from patients with Guillain-Barr&eacute syndrome (GBS, n=81), Miller Fisher syndrome (MFS, n=20), Charcot-Marie-Tooth disease (CMT, n=102), chronic inflammatory demyelinating polyneuropathy (CIDP, n=43), MS (n=159), AD (n=20), and HC (n=41). NfL was measured in patients with neuropathies using an SR-X Single Molecule Array analyser (Quanterix). RESULTS: Serum big tau levels were higher in GBS than in AD (11.4 vs 2.4 pg/mL, p<0.0001) and MS (11.4 vs 9.0 pg/mL, p=0.01), and similar to CIDP and CMT. Contrarily, serum BD-tau levels in GBS were higher than in CIDP (3.0 vs 2.3 pg/mL, p=0.006) and MS (3.0 vs 1.7 pg/mL, p<0.0001), but similar to CMT, and lower than in AD (3.0 vs 9.8 pg/mL, p<0.0001). Serum NfL levels were higher in GBS than in CIDP (32.5 vs 13.0 pg/mL, p=0.0002), CMT (32.5 vs 12.3 pg/mL, p<0.0001), and HC (32.5 vs 7.6 pg/mL, p<0.0001). Compared with GBS, MFS patients showed higher BD-tau (12.7 vs 3.0 pg/mL, p=0.003), lower big tau (5.4 vs 11.4 pg/mL, p=0.002), and higher NfL levels, although the latter did not reach statistical significance (118.3 vs 32.5 pg/mL, p=0.16). The NfL/big tau ratio was significantly higher in MFS than in GBS, CIDP, and CMT. In GBS, BD-tau correlated with early clinical severity (MRC at 1 week; I-RODS at 4 weeks; maximum GBS-DS and GBS-DS at 4 weeks), whereas neither tau biomarker showed long-term clinical correlations. Higher BD-tau and big tau levels were associated with the need for mechanical ventilation (BD-tau: 8.6 vs 2.9 pg/mL, p=0.019; big tau: 19.7 vs 10.7 pg/mL, p=0.007), while higher BD-tau levels were associated with mortality (10.9 vs 2.9 pg/mL, p=0.003). CONCLUSIONS: Higher big tau levels in peripheral neuropathies than in CNS diseases support its role as a PNS-specific biomarker. In MFS, increased serum BD-tau, reduced big tau, and an elevated NfL/big tau ratio suggest CNS involvement with relative preservation of the PNS.

Background and Objectives: Cognitive impairment is common in multiple sclerosis (MS), but whether brain age gap (BAG) has greater cognitive relevance in MS than in people without brain disease is not known. We tested whether BAG was more strongly associated with cognitive processing speed (CPS) in MS. Methods: We performed a cross-sectional analysis of MRI-derived BAG and CPS from a UK Biobank study consisting of 21,117 normative reference subjects with no recorded brain disease and 97 subjects with MS. BAG and CPS were standardized to the normative reference distribution, and an age- and sex-adjusted interaction tested whether the association differed between groups. Separately, a meta-analysis of the relationship of BAG and CPS was performed using published data from five independent MS cohorts (n=1,250 subjects in total). Correlation statistics were pooled to establish the effect size, 95% confidence intervals and p-values. Results: In UK Biobank, there was a moderate negative association between BAG and CPS in MS (r=-0.35, 95% CI -0.52 to -0.17; P<.001), whereas the association in the normative reference group was negligible (r=-0.05, 95% CI -0.07 to -0.04; P<.001). There was a BAG-by-MS interaction indicating an MS-specific correlation (beta =-0.19, 95% CI -0.29 to -0.09; P<.001). Across five independent clinical MS cohorts, the pooled BAG-CPS correlation was r=-0.25 (95% CI -0.33 to -0.18; P<.001). Overall, the magnitude of the association between BAG and CPS was at least five-fold greater in MS than in the normative population. Conclusion: BAG was substantially more strongly associated with CPS in MS than in the normative population. These cross-sectional findings support further evaluation of BAG as an adjunctive MRI marker. Further studies are required to establish mechanism, prognosis, or clinical decision utility.

Post-COVID-19 syndrome (PCS) is characterized by fatigue, neurological impairment and systemic symptoms. This heterogeneity of symptoms hinders biomarker development. Here, we profiled extracellular-vesicle (EV) surface markers in plasma and CSF from 61 participants with PCS (COVIDpost), 80 recovered controls (COVIDreco), and 10 participants with non-SARS-CoV-2 post-viral syndromes. EVs were analysed by bead-based multiplex flow cytometry using tetraspanin-directed (TSPN) and phosphatidylserine-directed lactadherin (PS) detection. Amongst 37 targets covering tetraspanins and vasculature-, immunity- and stemness-associated markers, none met a 1% false-discovery-rate threshold. However, L1-regularized logistic regression under fully nested 5x5 cross-validation identified a distributed plasma EV profile, with mean out-of-fold areas under the receiver operating characteristic curve (AUCs) of 0.788 (95% CI 0.715 - 0.852) for TSPN and 0.716 (95% CI 0.636 - 0.792) for PS detection. Across the pooled COVIDpost and COVIDreco population, EV classification scores covaried with clinical group differences, but did not track clinical severity within either cohort. These PCS-EV classification scores decreased at one-year follow-up in COVIDpost participants. Our findings identify an internally cross-validated multivariable EV surface profile associated with COVIDpost versus COVIDreco status and support independent validation and exploration of EV-based biomarkers in post-viral fatigue syndromes.

Background: Aneurysmal subarachnoid haemorrhage (aSAH) is frequently complicated by delayed cerebral ischaemia (DCI), for which current therapies incompletely target the underlying multifactorial pathophysiology. Transauricular vagus nerve stimulation (taVNS) modulates inflammatory, vasoactive and autonomic pathways and may attenuate secondary brain injury after aSAH. Methods: We conducted a prospective, single-centre, single-blind, randomised, sham-controlled pilot trial in adults within 5 days of aneurysm securing for non-traumatic aSAH. Participants were allocated 1:1 to active taVNS (left tragus) or sham (left earlobe) using a portable device delivered for 45 minutes twice daily over 5 days. Primary outcomes were safety (taVNS-related serious adverse events), acceptability, and compliance; secondary outcomes included inflammatory biomarkers, DCI, in-hospital complications, and functional outcomes to 1 month. Results: Thirty patients were randomised (16 taVNS, 14 sham), with numerically more severe aSAH at baseline in the taVNS arm. No taVNS-related serious adverse events occurred; side effects were generally mild and transient, and over 80% of planned sessions were completed. TaVNS produced greater reductions in serum tumour necrosis factor- and trends towards reductions in interleukin-1{beta} and interleukin-10, with numerically fewer DCI events (6.6% vs 35.7%) and neurological impairments (16.7% vs 53.8%), although functional outcomes were not statistically different at 1 month. Conclusions: Early taVNS after aSAH is safe, acceptable, and feasible in the neurocritical care setting and shows biologically plausible signals warranting evaluation in larger multi-centre trials.

Background: Vertebroplasty and balloon kyphoplasty are used for symptomatic vertebral hemangiomas, although comparative evidence is limited. We summarized pain relief, cement leakage, and recurrence after vertebral augmentation and assessed whether direct comparison of the two techniques was feasible. Methods: Five databases were searched from inception to January 2, 2026, with an update on July 5, 2026. Because only one small cohort directly compared vertebroplasty with kyphoplasty, outcomes were pooled as single-arm proportions or, for early pain change, as a mean difference using random-effects models. Prespecified subgroup, sensitivity, small-study effect, and influence analyses were performed. Results: Forty-four studies were included: 33 case series, 10 cohort studies, and one randomized trial. Kyphoplasty-specific evidence comprised one dedicated series and one comparative cohort. Any cement leakage occurred in 10.5% of patients (14 studies; 95% CI 5.7-18.4%), while trim-and-fill gave an exploratory adjusted estimate of 20.4%. Early pain reduction averaged 5.13 points on a 0-10 scale (8 studies; 95% CI 4.48-5.77; I2=89.4%). Complete or near-complete pain relief occurred in 79.4% of patients (10 studies), and recurrence, progression, or retreatment occurred in 3.9% (13 studies). Symptomatic cement leakage was uncommon at 0.4%. Conclusion: The available literature, which is mainly retrospective and vertebroplasty-based, supports substantial pain relief with infrequent symptomatic complications. Kyphoplasty data remain insufficient for a reliable technique comparison. Prospective studies with standardized clinical and imaging outcomes are needed.

Catatonia offers no principled basis for sequencing interventions when first-line benzodiazepines fail. Electroconvulsive therapy (ECT) is the established next step, but specifies what to escalate to, not what to stabilise first. Here we show that recovery is a constrained progression across five precision domains of hierarchical inference: sensory ({pi}s), policy ({beta}), motivational ({pi}m), and fast and slow volatility precision ({pi}v_fast, {pi}v_slow). In twenty-five consecutive inpatients managed without ECT, an order {pi}s [-&gt;] {beta} [-&gt;] {pi}m [-&gt;] {pi}v_fast [-&gt;] {pi}v_slow) held without inversion in every patient. Bush-Francis Catatonia Rating Scale (BFCRS) scores fell from 26.3 {+/-} 5.6 to 2.0 {+/-} 2.4 (p < 0.001), and functional recovery tracked restoration of organized action rather than symptom suppression. The framework predicts, untested in this uniformly remitting cohort, that interventions effective at one stage may destabilise another. Within stated conditions, a single inversion falsifies the ordering.

Background: Late-onset neutropenia (LON) is an infrequently reported, unpredictable side effect of anti-CD20 therapy, with incidence varying by agent, diagnosis, and screening protocol. Objective: The primary objective of this cross-sectional, retrospective study was to estimate the proportion of patients who developed LON over 13 months (April 2023-April 2024). Methods: Consecutive adult patients diagnosed with central nervous system (CNS) autoimmunity who received at least one rituximab(RTX) or ocrelizumab(OCR) infusion between January 2016 and March 2024 were included; patients who switched to another immunotherapy, had no post-treatment blood draw, or had unverifiable infusion records were excluded. LON events were assessed using all post-treatment CBCD blood draws during this period. Results: A total of 171 patients were enrolled: 141 received rituximab and 30 received ocrelizumab. A total of 319 post-treatment blood tests were performed. Sixteen patients (16/171) had neutropenia (9.4%, 95% CI 5.8-14.7): 12 on rituximab (8.5%) and 4 on ocrelizumab (13.3%; p=0.487). LON occurred at a median of 158 days (130-188) since the last infusion. All patients were asymptomatic, mostly had Grade 1 neutropenia (15/16, 93.8%). BMI (22.2 vs. 27.5 kg/m2, p=0.001) and prior natalizumab exposure (37.5% vs. 14.2%, p=0.023) were significantly different between neutropenic and non-neutropenic patients. Conclusion: The proportion of patients with LON in this cohort was higher than most previously reported, with all cases asymptomatic. Lower BMI and prior natalizumab exposure emerged as potential risk factors warranting further investigation. Larger, prospective studies with standardized surveillance are needed to establish the true frequency and risk factors.

Background: Pain relief is the principal patient-centered goal of surgery for symptomatic lumbar synovial facet cysts, yet comparative reviews have often emphasized cyst recurrence. Whether adding fusion improves postoperative pain or reduces later surgery remains uncertain. Objective: To compare decompression alone with decompression plus fusion, with postoperative back- and leg-pain outcomes as the primary domain. Methods: PubMed, Embase, Scopus, Web of Science, and the Cochrane Library were searched from inception to 2 June 2026. Comparative cohorts and case series with at least five patients were eligible. Twenty-two studies were re-extracted for VAS/NRS scores, change scores, and persistent or recurrent pain. Random-effects restricted maximum likelihood models with Hartung-Knapp inference were used; clinically distinct pain outcomes were analyzed separately. Results: Twenty-two studies (16 cohorts, 6 case series; 51,899 participants) were included. Two studies provided compatible final VAS data. Fusion did not improve postoperative back pain (MD -0.04, 95% CI -0.17 to 0.10; I2=0%) or leg pain (MD -0.03, 95% CI -0.28 to 0.21; I2=0%). Postoperative back pain (RR 0.58, 95% CI 0.14-2.30) and leg/radicular symptoms (RR 0.75, 95% CI 0.42-1.32) were also not significantly reduced. Fusion decreased confirmed cyst recurrence (RR 0.29, 95% CI 0.15-0.57) but not reoperation or subsequent lumbar surgery (RR 0.80, 95% CI 0.42-1.50). Conclusion: Current comparative evidence does not demonstrate superior postoperative pain control with routine fusion. Fusion reduces cyst recurrence without clearly reducing reoperation, supporting selective use when instability is present or anticipated.

Background: Mutations in leucine-rich repeat kinase 2 (LRRK2) are the most common genetic risk factor for Parkinson's disease (PD). G2019S, the most common pathogenic variant, has been linked to milder motor symptoms, but the effects of other LRRK2 variants on disease trajectory remain incompletely characterized. R1441G, the second most common pathogenic variant, co-occurs with the PD risk variant M1646T on a shared haplotype. Whether this haplotype confers a distinct rate of motor progression has not been established. Methods: We analyzed up to 12 years of longitudinal data from 603 participants in the Parkinson's Progression Markers Initiative (PPMI) with PD and available whole-genome sequencing data: 394 sporadic PD, 169 G2019S carriers, 20 R1441G+M1646T carriers, and 20 M1646T carriers. Motor symptom progression (MDS-UPDRS III) was assessed using linear mixed-effects models with genotype-by-time interactions, adjusted for age at onset, disease duration at baseline, sex, race, baseline score, and levodopa equivalent daily dose. Results: R1441G+M1646T carriers exhibited 76% slower progression in OFF-state MDS-UPDRS III than sporadic PD (0.50 vs. 2.04 points/year; {beta}=-1.54 [95% CI: -2.48, -0.60]; p=0.001). G2019S carriers exhibited 26% slower progression (1.52 points/year; {beta}=-0.52 [-0.99, -0.06]; p=0.03). M1646T carriers did not differ from sporadic PD (p=0.60). Slower progression in R1441G+M1646T carriers was characterized by attenuated bradykinesia (64% slower; p=0.008), axial decline (76% slower; p=0.002), and a lack of orofacial symptom progression (p<0.001). R1441G+M1646T carriers also exhibited 55% slower self-reported motor decline (MDS-UPDRS II; p=0.04) Conclusions: R1441G+M1646T carriers exhibit substantially slower motor progression than sporadic PD while M1646T carriers do not.

Objectives: Non-invasive brain stimulation (NIBS) holds significant promise for treating neurological and neuropsychiatric conditions, yet translation into routine clinical practice remains limited. We aimed to explore stakeholder perceptions of NIBS and barriers to its clinical adoption. Methods: We conducted focus-group interviews with 33 participants across three key stakeholder groups in the UK: (1) people with lived experience of brain injury, depression, or dementia; (2) healthcare professionals; and (3) researchers. Reflexive thematic analysis was used to identify themes in the data. Findings: Seven key themes emerged spanning preferences, hope and disappointment, communication, accessibility, infrastructure, ethical/regulatory uncertainty, and the evidence base. Across groups, NIBS was viewed positively and with cautious optimism, but substantial barriers were highlighted, including limited public and clinical awareness, challenges in demonstrating cost-effectiveness, infrastructure constraints, and difficulties navigating regulatory and translational pathways. Participants emphasised the importance of clear communication, improved education, and stronger interdisciplinary collaboration to support adoption. Notably, stakeholders prioritised evidence of clinical efficacy and usability over detailed mechanistic understanding. Conclusions: These findings provide actionable insights into the translational gap in NIBS and highlight priorities for facilitating its integration into clinical care.

Background: The Boston Criteria v2.0 represent the gold standard for diagnosing Cerebral Amyloid Angiopathy (CAA), but their application is currently precluded in mixed small vessel disease (SVD), where deep and lobar hemorrhages coexist. The aims of this study are: (i) to determine which cerebrospinal fluid (CSF) biomarker (A{beta}42, A{beta}40, A{beta}42/40 ratio) is the best candidate to support the CAA diagnosis; (ii) to define a data-driven cut-off, and (iii) to explore if a biomarker-integrated classification significantly improves the phenotypical concordance with the suspected predominant SVD (CAA vs. arteriosclerosis). Methods: We analyzed data from a retrospective multicenter cohort of patients with suspected CAA, defined as probable CAA (Boston criteria v2.0) but allowing deep hemorrhagic lesions, and with available CSF biomarkers. We visually quantified MRI-visible SVD markers (e.g., cerebral microbleeds [CMB], cortical superficial siderosis [cSS], lacunes) and their association with MRI-visible SVD features. We employed a Gaussian Mixture Model (GMM) to identify a data-driven threshold for amyloid positivity (A+). Then, we compared the prevalence of MRI-visible manifestations of SVD between subgroups applying different frameworks, namely the current MRI-based classification (probable CAA vs. mixed SVD) and a CSF biomarker-integrated classification (A+ vs. A-). Results: We enrolled 121 patients (age: 72 [66-77] years; 60% probable CAA, 40% mixed SVD with suspected CAA). The CSF A{beta}42/40 ratio showed a bimodal distribution and consistent associations with all CAA-specific radiological features. The CSF biomarker-integrated reclassification, particularly using the GMM cut-off, significantly improved the distinction between subgroups regarding CAA- and arteriosclerosis-related MRI features (e.g., cSS presence: probable CAA vs. mixed SVD: aOR=2.84 [95%CI 1.27-6.39], p=0.011; A+ vs. A-: aOR=12.68 [95%CI 4.31-37.32], p<0.001; deep lacunes presence: probable CAA vs. mixed SVD: aOR=0.20 [95%CI 0.08-0.50], p<0.001; A+ vs. A-: aOR=0.04 [95%CI 0.01-0.11], p<0.001). Notably, patients classified as A+ never demonstrated more than four deep CMBs. Discussion: A CSF biomarker-integrated classification may improve the classification of CAA compared with the current MRI-based framework. These findings are cohort-specific and would benefit from further validation, especially with a neuropathological reference. Still, these results support a future transition toward an integrated biological-radiological framework, which may refine in vivo CAA diagnosis, particularly in mixed SVD.

Objective: In KCNQ2-related disorders (KCNQ2-RD), neurodevelopmental outcome remains variable despite established genotype-phenotype correlations. Our aim is to improve counselling, by developing and internally validating models predicting neurodevelopmental outcomes based on early clinical and genetic features, universally available to clinicians. Methods: We conducted a multicentric retrospective cohort study including 277 individuals carrying a (likely) pathogenic variant in the KCNQ2 gene, with a minimum follow-up age of three years. Mosaic variants were excluded. The cohort was randomly split into training (70%) and validation (30%) sets. Ten expert selected parameters with minimal missing data were used to train random forest models to predict (i) dichotomous outcomes and (ii) three-category outcomes for cognition, language, and gross motor milestones. Results: Models incorporated seven clinical (neonatal hypotonia, EEG characteristics, age at seizure onset, seizure type, and seizure frequency at onset, prematurity, and sex) and three genetic variables (de novo status, exon localisation, and position within known KCNQ2-developmental and epileptic encephalopathy (DEE) hotspot regions). Dichotomous models showed the highest predictive performance, with accuracies of 0.83 for normal vs. mild-profound intellectual disability (ID), 0.83 for achievement of first words, and 0.86 for achievement of independent walking. Three category models remained clinically informative: accuracies were 0.79 for normal vs. mild vs. moderate-profound ID, 0.70 for first words [&le;]16 months vs. >16 months vs. never, and 0.71 for independent walking [&le;]18 months vs. >18 months vs. never. The strongest predictors for adverse neurodevelopmental outcomes were presence of hypotonia at birth, seizure onset within the first day of life, multiple seizures per day at onset, tonic seizures at onset, a burst-suppression pattern on EEG at onset, the presence of a de novo variant, and variant location within exons 6-7. Significance: These prediction models demonstrate the feasibility of early prognostication in KCNQ2-RD and support future prospective external validation. They enable more accurate individualised counselling by integrating clinical and genetic information readily available at time of genetic diagnosis and provide an objective foundation for early intervention planning and future precision medicine trial stratification.

Background: Brain age is a biomarker of brain tissue integrity associated with disability in multiple sclerosis. While new lesion formation is central to MS diagnosis and treatment monitoring, its direct relationship to brain aging has not been established. Methods: We analyzed 163 people with MS with clinical and MRI assessments at baseline and years 3, 6, and 8. Brain age was estimated using BrainAgeNeXt. Annualized brain age acceleration was modeled as a function of radiological activity using generalized estimating equations, adjusting for age, sex, disease duration, baseline T2 lesion volume, normalized brain volume (NBV), brain age difference (BAD), and disease-modifying therapy. Secondary analyses examined dose-response effects, post-activity recovery, paramagnetic rim lesion (PRL) associations, and disability associations. Results: 105 participants had at least one new T2 lesion over 8 years. Radiologically active intervals (138 of 333) were associated with +0.19 yr/yr greater brain age acceleration than stable intervals (95% CI: 0.03-0.37; p=0.022), scaling with lesion count (beta=+0.18; p=0.001) and volume. Older age, greater baseline BAD, and NBV were independently associated with reduced brain age acceleration. Brain age acceleration in individuals with new lesions normalized during subsequent stable intervals (0.41 vs -0.06 yr/yr; p=0.001). Both PRLs and non-PRL lesions were associated with greater brain age acceleration than stable intervals. Baseline BAD, but not annualized acceleration, predicted Expanded Disability Status Scale (EDSS) and Nine-Hole Peg Test (9HPT) worsening. Conclusions: New focal lesion formation is associated with a quantifiable, dose-response acceleration of brain aging in MS that normalizes once lesion activity is suppressed.