Publications

Language network disruption in patients with Lewy body diseases

16 Mar

Language network disruption in patients with Lewy body diseases

Lewy body diseases, including Parkinson’s disease and dementia with Lewy bodies, are marked by neuronal α‑synuclein aggregation, motor parkinsonism, cognitive impairment and diverse non‑motor symptoms including communication impairments. Compared to other symptoms, non‑motor communication impairments remain under-explored, especially outside English‑speaking cohorts. The aim of this study was to elucidate the neural underpinnings of linguistic deficits as assessed by fMRI in Czech-speaking patients diagnosed with neuronal Lewy body disease and mild cognitive impairment (LBD-MCI). Scores from the Short Neuropsychological Battery and resting‑state functional MRI data were analyzed in 26 Czech‑speaking patients with LBD‑MCI and 24 healthy controls. Analyses targeted regions of interest within the dorsal and ventral language networks. We applied graph theory metrics, within‑network connectivity and seed‑based functional connectivity analysis. Graph analysis revealed dorsal‑stream disruption in LBD‑MCI: reduced clustering coefficient, increased path length, and diminished node strength, each correlating with language functions; ventral‑stream topology remained intact. Within‑network analyses showed impaired connectivity across both pathways, but weaker coupling between the opercular inferior frontal gyrus and posterior superior temporal gyrus predicted behavioral scores in language functioning, further highlighting dorsal vulnerability. Seed‑based analysis identified reduced frontotemporal connectivity in the dorsal stream and decreased fronto‑occipital and temporo-cerebellar connections in the ventral stream. 

Intracranial electroencephalographic connectivity analysis to localize epileptogenic networks: Systematic review and meta-analysis from ILAE Epilepsy Surgery Networks Task Force

16 Mar

Intracranial electroencephalographic connectivity analysis to localize epileptogenic networks: Systematic review and meta-analysis from ILAE Epilepsy Surgery Networks Task Force

Intracranial electroencephalographic (iEEG) connectivity analysis is a promising method to localize epileptic networks and guide surgical planning in focal drug-resistant epilepsy. Despite numerous studies exploring its utility, the added value of iEEG connectivity over standard clinical presurgical evaluation remains unclear. We assess the current evidence on the efficacy of iEEG connectivity analyses to improve seizure outcomes following epilepsy surgery through a systematic review and meta-analysis. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines, we searched PubMed and Embase for studies (2006-2024) of adult focal drug-resistant epilepsy patients who underwent surgical resection or ablation, reported outcomes at least 1 year postsurgery, and used iEEG connectivity analysis to localize networks. Reviews, nonhuman studies, and studies lacking iEEG connectivity analysis or network localization were excluded. We derived classification metrics (true/false positives/negatives) based on concordance between iEEG findings, clinical localization, and outcome. Subgroup meta-analyses and meta-regressions determined differences by seizure type, lesion status, and analysis approach. Of 2881 studies screened, 25 met criteria (n = 909). The pooled odds ratio comparing seizure outcome prediction using iEEG connectivity versus standard clinical evaluation was 1.36 (95% confidence interval = 1.10-1.69, p = .004), indicating a significant overall benefit. 

Local Field Aperiodic Spectral Power Modulated by Deep Brain Stimulation in Parkinson's Disease

16 Mar

Local Field Aperiodic Spectral Power Modulated by Deep Brain Stimulation in Parkinson's Disease

Background: Aperiodic spectral broadband power has been described recently as reflecting Parkinson's disease (PD) severity. It has therefore become an increasing focus of research interest in the context of the new adaptive deep brain stimulation (DBS) approach.

Objective: We aimed to study the influence of DBS on the main parameters of the aperiodic spectral component of local field potentials (LFPs).

Methods: LFPs were recorded from the subthalamic nucleus (STN) in patients with PD (n = 22) during a simple experimental paradigm that included 5 minutes of resting state and a short gait task during DBS OFF and ON conditions (off medication). Classical spectral analysis was performed using fast Fourier transform; the analysis of the aperiodic component was performed by fitting oscillations and a one-over-F approach. In a subset of the patients (n = 14), it was possible to evaluate the symptom progression over time after 1 year by analyzing the control measurement.

Results: The severity of hypokinetic/rigid symptomatology, measured by International Parkinson and Movement Disorders Society Unified Parkinson's Disease Rating Scale, correlated significantly with both of the aperiodic components characteristics of the STN LFPs: the slope and the offset. These parameters were significantly modified by DBS, as evaluated with a Wilcoxon signed-rank test during the resting state and during the gait task. 

Effectiveness of brief semiological training in distinguishing functional/dissociative seizures from epileptic seizures

13 Feb

Effectiveness of brief semiological training in distinguishing functional/dissociative seizures from epileptic seizures

Objective: Functional/dissociative seizures are seizures that mimic epileptic seizures in their presentation and are often mistaken for them. Clinical recognition of these seizures presents a challenge and misdiagnosis can lead to inappropriate treatment, increasing the risk of complications. To address this, we conducted a study involving 45 young neurology residents from the Czech Republic and Slovakia who had no specialized training in epilepsy or functional neurological disorders. Our goal was to determine whether a brief training in selected semiological features of functional/dissociative seizures (FDS) would efficiently teach them to differentiate between FDS and epileptic seizures (ES) in a clinical setting.

Methods: A set of 10 clinical signs characteristic of FDS was selected based on Evidence-Based Practice for the Clinical Assessment of Psychogenic Nonepileptic Seizures (Baslet et al., 2021). Initially, participants identified epileptic seizures and FDS in 30 video recordings without any prior instruction. Subsequently, they received a 15-minute educational session focused on selected semiological features of FDS. Then the same 30 seizure videos were shown again to assess their recognition abilities. No EEG recordings were shown.

Results: Following this educational intervention, participants' accuracy in distinguishing FDS from ES significantly improved from 77% before training to 89% after training (p < 0.001).

Timing for Starting Antiseizure Medication Withdrawal After Epilepsy Surgery in Adults

13 Feb

Timing for Starting Antiseizure Medication Withdrawal After Epilepsy Surgery in Adults

Background and objectives: More than half of people undergoing epilepsy surgery become seizure-free and may consider withdrawing antiseizure medications (ASMs). Withdrawal practices vary, and the optimal timing remains unclear. We aim to compare seizure relapse risk among individuals initiating ASM withdrawal at different time points after epilepsy surgery.

Methods: We conducted a multicenter observational cohort study of adults who underwent resective epilepsy surgery between 1990 and 2016 at 12 tertiary centers. Participants were seizure-free before medication withdrawal and had at least 1 year of follow-up. Seizure relapse risk was compared among those initiating withdrawal 1, 2, 3, 4, or 5 years postoperatively vs later. We used propensity score matching for each comparison to adjust for treatment selection bias.

Results: Of the 964 people included (51% female; median age at surgery 34 years [interquartile range 26-44]), 446 (46%) began ASM withdrawal in the first year after surgery, 255 (26%) in the second, 110 (11%) in the third, 58 (6%) in the fourth, 29 (3%) in the fifth, and 66 (7%) after the fifth year. After matching, those starting withdrawal in the first (hazard ratio [HR] 1.4; p = 0.003) or second (HR 1.18; p < 0.001) year had a higher risk of relapse than those who withdrew later. Starting withdrawal in the third (HR 1.7; p = 0.12), fourth (HR 1.3; p = 0.45), or fifth (HR 0.17; p = 0.82) year after surgery showed no increase in risk compared with later withdrawal. 

GLP-1 Receptor Agonists for Secondary Prevention After Myocardial Infarction and Stroke in Type 2 Diabetes: Nationwide Real-World Evidence

22 Jan

GLP-1 Receptor Agonists for Secondary Prevention After Myocardial Infarction and Stroke in Type 2 Diabetes: Nationwide Real-World Evidence

Aims: Glucagon-like peptide-1 receptor agonists (GLP-1RA) reduce cardiovascular risk in patients with type 2 diabetes (T2D) and established atherosclerotic cardiovascular disease and are recommended in guidelines. We evaluated the real-world effectiveness of GLP-1RA therapy on cardiovascular outcomes in patients with T2D after myocardial infarction (MI) or ischemic stroke and examined trends and disparities.

Methods: Using nationwide Czech registry data (2015-2024), we identified patients with incident nonfatal MI or ischemic stroke and confirmed T2D. GLP-1RA users-initiating therapy within 12 months post-event-were propensity score-matched to non-users. The primary outcome was major adverse cardiovascular events (MACE: nonfatal MI, nonfatal stroke, cardiovascular death); secondary outcomes included individual components and all-cause mortality.

Results: GLP-1RA therapy was initiated in only ∼2% of MI and stroke survivors with T2D. Among 126,845 MI survivors, 28,206 had T2D; the matched cohort comprised 2,271 patients (401 GLP-1RA; median follow-up 35 months). GLP-1RA use was associated with lower risk of MACE (HR:0.7; 95%CI:0.52-0.93), all-cause (HR:0.61;95%CI:0.47-0.80) and cardiovascular death (HR:0.54, 95%CI:0.36-0.80). Among 177,115 stroke survivors, 73,750 had T2D; the matched cohort comprised 2,235 patients (385 GLP-1RA; median follow-up 27 months). 

Influence of hypokinetic dysarthria severity level on the long-term outcome of repetitive transcranial magnetic stimulation therapy

22 Jan

Influence of hypokinetic dysarthria severity level on the long-term outcome of repetitive transcranial magnetic stimulation therapy

Introduction: Hypokinetic dysarthria (HD) is a common and disabling symptom of Parkinson's disease (PD) for which established pharmacological and surgical treatments bring only limited, often short-term improvement in speech. The aim of this study was to investigate whether the long-term acoustic effects of repetitive transcranial magnetic stimulation (rTMS) over the right superior temporal gyrus (STG) depend on the baseline severity of HD.

Methods: 26 PD patients were randomized to active STG-targeted rTMS (n = 15) or sham stimulation (n = 11) and followed across five recording sessions over 14 weeks, alongside one session of matched healthy controls. HD severity at baseline was quantified using 3F test subscores and used to stratify patients into milder (0) and more severe (1) subgroups. The STG 1 subgroup combined greater motor and speech impairment with shorter disease duration. Multiple acoustic features from sustained phonation and free monologue were extracted, normalized to controls, adjusted for sex, and analyzed using non-parametric statistics and descriptive visualisations.

Results: Patients with more severe HD receiving active stimulation (STG 1) showed consistent, long-lasting improvements in phonation-related parameters, whereas milder HD (STG 0) and sham groups (SHAM 0, SHAM 1) exhibited only limited or transient changes.

Functional Impact Score of Mitochondrial Variants and Its Relationship With Functional Connectivity of the Brain: Potential Origins of Premature Aging in Young Adulthood

5 Jan

Functional Impact Score of Mitochondrial Variants and Its Relationship With Functional Connectivity of the Brain: Potential Origins of Premature Aging in Young Adulthood

Alterations in mitochondrial DNA (mtDNA) have been associated with worse cognitive abilities in older adults and premature epigenetic aging in young adulthood. However, it is not clear how mitochondrial dysfunction affects brain function in young adulthood and whether cognition-related networks might be most affected. We tested whether mtDNA functional impact (FI) score might map onto specific patterns of between-network functional connectivity in young adults from the European Longitudinal Study of Pregnancy and Childhood (ELSPAC). We also tested whether these relationships might be mediated by accelerated epigenetic aging, calculated using Horvath's epigenetic clock, CheekAge clock, and AltumAge clock. General connectivity method was used as a reliable marker of individual differences in brain function. We showed that a greater mtDNA FI score was associated with lower connectivity between the dorsal attention and language networks (beta = -0.41, p = 0.0007, AdjR2 = 0.15) and that there was suggestive evidence that this relationship might be mediated by accelerated epigenetic aging calculated using Horvath's epigenetic clock in young adulthood (ab = -0.061, SE = 0.04, 95% CI [-0.163; 0.001], 90% CI [-0.142; -0.002]). These findings were independent of sex, current BMI, and current substance use. 

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