Publications by authors named "Ryvlin P"

In 2024, therapeutic and diagnostic advancements are shaping the field of neurology. Three new drugs show promise for treating myasthenia gravis and chronic inflammatory demyelinating polyneuropathy. A new classification for Parkinson's disease has been proposed, while a neuroprosthesis is improving gait in advanced stages.

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Neurocognitive impairment (NCI) is present in around 40% of people with HIV and substantially affects everyday life, adherence to combined antiretroviral therapy (cART) and overall life expectancy. Suboptimal therapy regimen, opportunistic infections, substance abuse and highly prevalent psychiatric co-morbidities contribute to NCI in people with HIV. In this review, we highlight the need for efficacious treatment of HIV-related NCI through pharmacological approaches and cognitive neurorehabilitation, discussing recent randomized controlled trials in this domain.

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Article Synopsis
  • This systematic review examines how individuals with epilepsy (PWE), healthcare professionals (HP), and caregivers (CG) participate in the design of medical devices for epilepsy.
  • The review found a steady increase in publications related to user involvement in medical device development (MDD) from 1999 to 2023, with various tools aimed at seizure detection and prevention being the main focus.
  • It emphasizes the importance of user perspectives in MDD, noting that involvement mostly occurs in four out of five development stages, and calls for more effective engagement to improve device quality and patient outcomes.
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  • There is an increasing demand for effective automated seizure detection algorithms using EEG data due to the rise of long-term monitoring needs.
  • This paper introduces a unified framework to standardize validation methods for these algorithms, addressing the inconsistencies in datasets, methodologies, and performance measures.
  • The authors also present the EEG 10-20 seizure detection benchmark, along with an open-source software library, to help evaluate existing algorithms and enhance research in seizure detection for better outcomes for individuals with epilepsy.*
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This study aimed to assess the feasibility of a complex family nursing intervention (SAFIR©) designed to support families of patients with acquired brain injuries during the early phase of hospitalization, using a one-group pre- and post-test design with a one-month follow-up. Family members participated in four family meetings. Quantitative data were collected using an intervention protocol checklist and questionnaires.

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Introduction: Epilepsy surgery is the only curative treatment for patients with drug-resistant focal epilepsy. Stereoelectroencephalography (SEEG) is the gold standard to delineate the seizure-onset zone (SOZ). However, up to 40% of patients are subsequently not operated as no focal non-eloquent SOZ can be identified.

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Article Synopsis
  • Developmental and epileptic encephalopathies (DEEs) lead to severe seizures and developmental delays, with patients often experiencing various seizure types like tonic-clonic seizures (TCS).
  • Fenfluramine (FFA) has shown effectiveness in reducing TCS in patients with conditions such as Dravet syndrome and Lennox-Gastaut syndrome, with a scoping review revealing significant seizure frequency improvements among treated patients.
  • Specifically, the review found that 72% of patients had at least a 50% reduction in TCS after FFA treatment, with some achieving up to a 100% reduction, indicating a promising potential for FFA in managing DEEs.
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Background: There are limited real-world data in Switzerland examining the impact of erenumab, a fully human IgG2 monoclonal antibody targeting the calcitonin gene-related peptide (CGRP) receptor, on migraine-related quality of life.

Objective: This 18-month interim analysis of 172 patients with episodic or chronic migraine from the SQUARE study provides first prospective insights on the impact of mandatory erenumab treatment interruption, following Swiss-reimbursement requirements, in a real-world clinical setting in Switzerland.

Findings: Recruited patients receiving 70 or 140 mg erenumab underwent treatment interruption on average 11.

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Objective: Short-term outcomes of deep brain stimulation of the anterior nucleus of the thalamus (ANT-DBS) were reported for people with drug-resistant focal epilepsy (PwE). Because long-term data are still scarce, the Medtronic Registry for Epilepsy (MORE) evaluated clinical routine application of ANT-DBS.

Methods: In this multicenter registry, PwE with ANT-DBS were followed up for safety, efficacy, and battery longevity.

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Alzheimer's Disease (AD) is the leading cause of dementia. It results in cortical thickness changes and is associated with a decline in cognition and behaviour. Such decline affects multiple important day-to-day functions, including memory, language, orientation, judgment and problem-solving.

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Objective: This study was undertaken to develop a standardized grading system based on expert consensus for evaluating the level of confidence in the localization of the epileptogenic zone (EZ) as reported in published studies, to harmonize and facilitate systematic reviews in the field of epilepsy surgery.

Methods: We conducted a Delphi study involving 22 experts from 18 countries, who were asked to rate their level of confidence in the localization of the EZ for various theoretical clinical scenarios, using different scales. Information provided in these scenarios included one or several of the following data: magnetic resonance imaging (MRI) findings, invasive electroencephalography summary, and postoperative seizure outcome.

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Purpose Of Review: To review recent advances in the field of seizure detection in ambulatory patients with epilepsy.

Recent Findings: Recent studies have shown that wrist or arm wearable sensors, using 3D-accelerometry, electrodermal activity or photoplethysmography, in isolation or in combination, can reliably detect focal-to-bilateral and generalized tonic-clonic seizures (GTCS), with a sensitivity over 90%, and false alarm rates varying from 0.1 to 1.

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Article Synopsis
  • Epilepsy is a common neurological disorder that significantly affects patients' daily lives, yet current technological solutions for detection and monitoring are inadequate.
  • Hyperdimensional (HD) computing offers a more efficient approach for epilepsy detection through wearable devices, with advantages like simpler learning processes and lower memory needs compared to traditional methods.
  • The study explores innovative ways to build and enhance HD computing models for epilepsy detection, including the creation of hybrid models that improve detection accuracy and insights into individual epilepsy patterns.
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  • EEG is commonly used to monitor seizures, but traditional methods are impractical for long-term home tracking, pushing the need for wearable alternatives.
  • Wearable EEG devices face challenges, such as fewer channels and noise from artifacts that can mimic seizures, complicating detection accuracy.
  • This paper presents an advanced detection framework using Gradient Boosted Trees that successfully identifies seizures with minimal false alarms and incorporates artifact detection, optimizing monitoring duration to over 300 hours on low-power devices.
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Objective: Bilateral tonic-clonic seizures with focal semiology or focal interictal electroencephalography (EEG) can occur in both focal and generalized epilepsy types, leading to diagnostic errors and inappropriate therapy. We investigated the prevalence and prognostic values of focal features in patients with idiopathic generalized epilepsy (IGE), and we propose a decision flowchart to distinguish between focal and generalized epilepsy in patients with bilateral tonic-clonic seizures and focal EEG or semiology.

Methods: We retrospectively analyzed video-EEG recordings of 101 bilateral tonic-clonic seizures from 60 patients (18 with IGE, 42 with focal epilepsy).

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The long-term, continuous analysis of electroencephalography (EEG) signals on wearable devices to automatically detect seizures in epileptic patients is a high-potential application field for deep neural networks, and specifically for transformers, which are highly suited for end-to-end time series processing without handcrafted feature extraction. In this work, we propose a small-scale transformer detector, the EEGformer, compatible with unobtrusive acquisition setups that use only the temporal channels. EEGformer is the result of a hardware-oriented design exploration, aiming for efficient execution on tiny low-power micro-controller units (MCUs) and low latency and false alarm rate to increase patient and caregiver acceptance.

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Article Synopsis
  • In 2023, lecanemab was introduced as a new treatment for Alzheimer's disease, showcasing advancements in Alzheimer's care.
  • New biomarkers have significantly improved the diagnosis and monitoring of conditions like peripheral neuropathies and synucleinopathies.
  • Research has unveiled the impact of genetic factors in multiple sclerosis progression, while new migraine treatments and expanded thrombectomy criteria are enhancing patient care in neurology.
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Neuronal inhibition, primarily mediated by GABAergic neurotransmission, is crucial for brain development and healthy cognition. Gamma-aminobutyric acid concentration levels in sensory areas have been shown to correlate with hemodynamic and oscillatory neuronal responses. How these measures relate to one another during working memory, a higher-order cognitive process, is still poorly understood.

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Epilepsy surgery is the therapy of choice for many patients with drug-resistant focal epilepsy. Recognizing and describing ictal and interictal patterns with intracranial electroencephalography (EEG) recordings is important in order to most efficiently leverage advantages of this technique to accurately delineate the seizure-onset zone before undergoing surgery. In this seminar in epileptology, we address learning objective "1.

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Wearable seizure detection devices have the potential to address unmet needs of people with epilepsy. A recently published evidence-based international guideline recommends using such devices for safety indications in patients with tonic-clonic seizures (TCS). Our objective was to map existing guidelines and clinical practices at national level.

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Background And Objectives: The efficacy of deep brain stimulation of the anterior nucleus of the thalamus (ANT DBS) in patients with drug-resistant epilepsy (DRE) was demonstrated in the double-blind Stimulation of the Anterior Nucleus of the Thalamus for Epilepsy randomized controlled trial. The Medtronic Registry for Epilepsy (MORE) aims to understand the safety and longer-term effectiveness of ANT DBS therapy in routine clinical practice.

Methods: MORE is an observational registry collecting prospective and retrospective clinical data.

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Aim: Pathological states of recovery after coma as a result of a severe brain injury are marked with changes in structural connectivity of the brain. This study aimed to identify a topological correlation between white matter integrity and the level of functional and cognitive impairment in patients recovering after coma.

Methods: Structural connectomes were computed based on fractional anisotropy maps from 40 patients using a probabilistic human connectome atlas.

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Identifying genetic risk factors for highly heterogeneous disorders like epilepsy remains challenging. Here, we present the largest whole-exome sequencing study of epilepsy to date, with >54,000 human exomes, comprising 20,979 deeply phenotyped patients from multiple genetic ancestry groups with diverse epilepsy subtypes and 33,444 controls, to investigate rare variants that confer disease risk. These analyses implicate seven individual genes, three gene sets, and four copy number variants at exome-wide significance.

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