Journal of Neurology, Neurosurgery, and Psychiatry最新文献

Background: Impulse control disorders (ICDs) are known psychiatric conditions in Parkinson's disease (PD), especially as a side effect of antiparkinsonian therapy. Screening for vulnerable patients and avoiding high-risk treatments can be an effective approach to reduce the ICD burden in patients with PD. Thus, our goal was to identify risk factors for ICDs in PD in the Swedish total population.

Methods: Our longitudinal study was based on records of all patients with PD in the Swedish National Patient Registries and the Prescribed Drug Register (n=55 235). Patients with incident gambling disorder and other ICDs were compared with a control group on demographic factors, psychiatric comorbidity, antiparkinsonian dopaminergic treatment and therapies for advanced disease. Potential risk factors were analysed using logistic regressions and relative frequency comparisons (Fisher's exact test).

Results: Main predictors for incident gambling disorder were treatment with dopamine agonists (Frequency ratio 1.4, p=0.058), monoamine oxidase B (MAO-B) inhibitors (Frequency ratio 1.8, p=0.006) and a prescription for drugs used in addictive disorders (OR 5.85, 95% CI 2.00 to 17.10). Main predictors for other ICDs were dopamine agonist treatment (frequency ratio 1.6, p=0.003), anxiety disorders (OR 7.04, 95% CI 2.96 to 16.71) and substance use disorders other than alcohol (OR 5.66, 95% CI 1.75 to 18.23).

Conclusions: Our results support possible risk factors for incident ICDs that had previously been identified, like dopamine agonist treatment and raise additional attention for risk factors like MAO-B inhibitor treatment and specific psychiatric comorbidities. These findings enable tailoring antiparkinsonian therapy to individual patient-specific risk profiles.

Background: MRI is an important tool for disease diagnosis of Creutzfeldt-Jakob disease (CJD), yet its role in identifying preclinical stages of disease remains unclear. Here, we explored subtle white matter (WM) alterations in genetic CJD (gCJD) patients and in asymptomatic E200K mutation carriers using MRI, depending on total tau protein (t-tau) levels in CSF.

Methods: Six symptomatic gCJD patients and N=60 healthy relatives of gCJD patients were included. Participants underwent genetic testing for the E200K mutation, MRI scans at 3T and a lumbar puncture (LP) for t-tau. Diffusion tensor imaging (DTI) metrics were calculated along WM tracts.

Results: gCJD patients demonstrated higher mean diffusivity (MD), radial diffusivity (RD) and lower fractional anisotropy (FA) values compared with healthy relatives in several WM tracts (p<0.05). Out of the healthy relatives, 50% (N=30) were found to be carriers of the E200K mutation. T-tau levels in cerebrospinal fluid (CSF) were above the normal range (>290 pg/mL) in N=8 out of 23 carriers who underwent an LP. No significant differences in FA, MD, axial diffusivity (AD) and RD were detected between healthy mutation carriers (HMC) and healthy non-carriers within the WM tracts. Finally, significantly higher FA and lower MD, RD and AD along several WM tracts were found in HMC with elevated t-tau compared with HMC with normal t-tau (p<0.05).

Conclusions: DTI abnormalities along WM tracts were found in healthy E200K mutation carriers with elevated t-tau in CSF. Longer follow-up is required to determine whether these subtle WM alterations are predictive of future conversion to symptomatic gCJD.

Trial registration number: NCT05746715.

Background: Data on cognition in patients with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) are limited to studies with small sample sizes. Therefore, we aimed to analyse the extent, characteristics and the longitudinal course of potential cognitive deficits in patients with MOGAD.

Methods: The CogniMOG-Study is a prospective, longitudinal and multicentre observational study of 113 patients with MOGAD. Individual cognitive performance was assessed using the Paced Auditory Serial Addition Task (PASAT), the Symbol Digit Modalities Test (SDMT) and the Multiple Sclerosis Inventory Cognition (MuSIC), which are standardised against normative data from healthy controls. Cognitive performance was assessed at baseline and at 1-year and 2-year follow-up assessments. Multiple linear regression was used to analyse demographic and clinical predictors of cognitive deficits identified in previous correlation analyses.

Results: At baseline, the study sample of MOGAD patients showed impaired standardised performance on MuSIC semantic fluency (mean=-0.29, 95% CI (-0.47 to -0.12)) and MuSIC congruent speed (mean=-0.73, 95% CI (-1.23 to -0.23)). Around 1 in 10 patients showed deficits in two or more cognitive measures (11%). No decline in cognition was observed during the 1-year and 2-year follow-up period. Cerebral lesions were found to be negatively predictive for SDMT (B=-8.85, 95% CI (-13.57 to -4.14)) and MuSIC semantic fluency (B=-4.17, 95% CI (-6.10 to -2.25)) test performance.

Conclusions: Based on these data, we conclude that MOGAD patients show reduced visuomotor processing speed and semantic fluency to the extent that the disease burden includes cerebral lesions.

Background: The efficacy of endovascular treatment (EVT) in acute ischaemic stroke due to distal medium vessel occlusion (DMVO) remains uncertain. Our study aimed to evaluate the safety and efficacy of EVT compared with the best medical management (BMM) in DMVO.

Methods: In this prospectively collected, retrospectively reviewed, multicentre cohort study, we analysed data from the Multicentre Analysis of primary Distal medium vessel occlusions: effect of Mechanical Thrombectomy registry. Patients with acute ischaemic stroke due to DMVO in the M2, M3 and M4 segments who underwent EVT or received BMM were included. Primary outcome measures comprised 10 co-primary endpoints, including functional independence (mRS 0-2), excellent outcome (mRS 0-1), mortality (mRS 6) and haemorrhagic complications. Propensity score matching was employed to balance the cohorts.

Results: Among 2125 patients included in the primary analysis, 1713 received EVT and 412 received BMM. After propensity score matching, each group comprised 391 patients. At 90 days, no significant difference was observed in achieving mRS 0-2 between EVT and BMM (adjusted OR 1.00, 95% CI 0.67 to 1.50, p>0.99). However, EVT was associated with higher rates of symptomatic intracerebral haemorrhage (8.4% vs 3.0%, adjusted OR 3.56, 95% CI 1.69 to 7.48, p<0.001) and any intracranial haemorrhage (37% vs 19%, adjusted OR 2.61, 95% CI 1.81 to 3.78, p<0.001). Mortality rates were similar between groups (13% in both, adjusted OR 1.48, 95% CI 0.87 to 2.51, p=0.15).

Conclusion: Our findings suggest that while EVT does not significantly improve functional outcomes compared with BMM in DMVO, it is associated with higher risks of haemorrhagic complications. These results support a cautious approach to the use of EVT in DMVO and highlight the need for further prospective randomised trials to refine treatment strategies.

Background: Juvenile myoclonic epilepsy (JME) is associated with cortical thinning of the motor areas. The relative contribution of antiseizure medication to cortical thickness is unknown. We aimed to investigate how valproate influences the cortical morphology of JME.

Methods: In this cross-sectional study, individuals with JME with and without valproate, with temporal lobe epilepsy (TLE) with valproate and controls were selected through propensity score matching. Participants underwent T1-weighted brain imaging and vertex-wise calculation of cortical thickness.

Results: We matched 36 individuals with JME on valproate with 36 individuals with JME without valproate, 36 controls and 19 individuals with TLE on valproate. JME on valproate showed thinning of the precentral gyri (left and right, p<0.001) compared with controls and thinning of the left precentral gyrus when compared with JME not on valproate (p<0.01) or to TLE on valproate (p<0.001). Valproate dose correlated negatively with the thickness of the precentral gyri, postcentral gyri and superior frontal gyrus in JME (left and right p<0.0001), but not in TLE.

Conclusions: Valproate was associated with JME-specific and dose-dependent thinning of the cortical motor regions. This suggests that valproate is a key modulator of cortical morphology in JME, an effect that may underlie its high efficacy in this syndrome.

Background: In multiple sclerosis (MS), both lesion accrual and brain atrophy predict clinical outcomes. However, it is unclear whether these prognostic features are equally relevant throughout the course of MS. Among 103 participants recruited following a clinically isolated syndrome (CIS) and followed up over 30 years, we explored (1) whether white matter lesions were prognostically more relevant earlier and brain atrophy later in the disease course towards development of secondary progressive (SP) disease; (2) if so, when the balance in prognostic contribution shifts and (3) whether optimised prognostic models predicting SP disease should include different features dependent on disease duration.

Methods: Binary logistic regression models were built using age, gender, brain lesion counts and locations, and linear atrophy measures (third ventricular width and medullary width) at each time point up to 20 years, using either single time point data alone or adjusted for baseline measures.

Results: By 30 years, 27 participants remained CIS while 60 had MS (26 SPMS and 16 MS-related death). Lesions counts were prognostically significant from baseline and at all later time points while linear atrophy measure models reached significance from 5 years. When adjusted for baseline, in combined MRI models including lesion count and linear atrophy measures, only lesion counts were significant predictors. In combined models including relapse measures, Expanded Disability Status Scale scores and MRI measures, only infratentorial lesions were significant predictors throughout.

Conclusions: While SPMS progression is associated with brain atrophy, in predictive models only infratentorial lesions were consistently prognostically significant.

Background: AQP4-antibody seropositive (AQP4-Ab+) neuromyelitis optica spectrum disorder (NMOSD) may cause reduced work capability due to disability. Here, we evaluated the socioeconomic status of patients with AQP4-Ab+NMOSD in off-label therapy era compared with the general population.

Methods: A longitudinal nationwide population-based study including all Danish patients with AQP4-Ab+NMOSD and matched controls from the general population. The cohort was linked to other Danish nationwide population-based databases. The study period was from 1992 to 2021. The main outcomes were loss of income from salary, limited work capability, disability pension and civil status. The longitudinal risks of outcomes were presented in cumulative incidence curves. Fisher's exact test, χ² test or Wilcoxon test were applied for comparison.

Results: We included 65 patients with a median follow-up of 8.6 years. Annual income declined significantly after disease onset (index year) compared with the general population. One year after the index year, the median annual income in 2015-indexed Euro for patients averaged 13 285 (IQR: 139 to 36 336) versus controls 33 035 (IQR: 6870 to 45 978); p=0.04. Five years postindex year, the average income for patients further dropped to 276 (IQR: 0 to 23 691) versus controls 22 141 (IQR: 0 to 42 986); p=0.03. At the end of follow-up, significantly higher proportion of patients were either in 'flexjob' (36.9% patients vs 14% controls, p<0.00) or receiving disability pension (16.9% patients vs 4.3% controls, p<0.00).

Conclusions: The socioeconomic status of patients with AQP4-Ab+NMOSD deteriorates rapidly following disease onset. A substantial proportion of these patients lose their work capacity leading to increased financial burden on both their families and society.

Background: Brain imaging studies investigating grey matter in functional neurological disorder (FND) have used univariate approaches to report group-level differences compared with healthy controls (HCs). However, these findings have limited translatability because they do not differentiate patients from controls at the individual-level.

Methods: 183 participants were prospectively recruited across three groups: 61 patients with mixed FND (FND-mixed), 61 age-matched and sex-matched HCs and 61 age, sex, depression and anxiety-matched psychiatric controls (PCs). Radial basis function support vector machine classifiers with cross-validation were used to distinguish individuals with FND from HCs and PCs using 134 FreeSurfer-derived grey matter MRI features.

Results: Patients with FND-mixed were differentiated from HCs with an accuracy of 0.66 (p=0.005; area under the receiving operating characteristic (AUROC)=0.74); this sample was also distinguished from PCs with an accuracy of 0.60 (p=0.038; AUROC=0.56). When focusing on the functional motor disorder subtype (FND-motor, n=46), a classifier robustly differentiated these patients from HCs (accuracy=0.72; p=0.002; AUROC=0.80). FND-motor could not be distinguished from PCs, and the functional seizures subtype (n=23) could not be classified against either control group. Important regions contributing to statistically significant multivariate classifications included the cingulate gyrus, hippocampal subfields and amygdalar nuclei. Correctly versus incorrectly classified participants did not differ across a range of tested psychometric variables.

Conclusions: These findings underscore the interconnection of brain structure and function in the pathophysiology of FND and demonstrate the feasibility of using structural MRI to classify the disorder. Out-of-sample replication and larger-scale classifier efforts incorporating psychiatric and neurological controls are needed.

Background: Visualisation of the dorsolateral subthalamic nucleus (STN) remains challenging on 1.5 and 3Tesla T2-weighted MRI. Our previously defined hotspot, relative to the well-visualised medial STN border, serves as an MRI landmark for dorsolateral STN identification in deep brain stimulation (DBS). We aimed to validate this hotspot in a separate trial cohort of Parkinson's disease (PD) patients and refine its location.

Methods: In this post hoc analysis of a randomised controlled trial, in which the hotspot was taken into account during target planning, responses to DBS were evaluated using hemibody improvement on the Movement Disorder Society-Unified Parkinson's Disease Rating Scale motor examination and compared with our historical cohort, as well as dopaminergic medication reduction. Then, a refined hotspot was calculated and the Euclidean distance from individual active contacts to the refined hotspot was correlated with motor improvement.

Results: The first quartile of the hemibodies (poor responders) showed an average improvement of 13%, which was higher than the -8% in the historical control group (p=0.044). Dopaminergic medication reduction was greater in the current cohort compared with the historical cohort (p=0.020). Overall variability of hemibody motor improvement was reduced in the current cohort compared with the historical control group (p=0.003). Motor improvement correlated to the Euclidean distance from active contact to the refined hotspot (2.8 mm lateral, 1.1 mm anterior and 2.2 mm superior to the medial STN border) (p=0.001).

Conclusion: We validated the hotspot for dorsolateral STN targeting in DBS for patients with PD and showed an improved motor response in poor responders, a reduced variability in motor improvement and a greater dopaminergic medication reduction. We then refined the hotspot at 2.8 mm lateral, 1.1 mm anterior and 2.2 mm superior relative to the medial STN border, which visualises a readily implementable target within the dorsolateral STN on lower field strength MRI.