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Enregistrement W4414202877 · doi:10.3389/fneur.2025.1693132

Epilepsy grand challenge 2025

2025· editorial· en· W4414202877 sur OpenAlexaff
Yvonne Höller, Eugen Trinka, Julia Jacobs

Notice bibliographique

RevueFrontiers in Neurology · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueEpilepsy research and treatment
Établissements canadiensAlberta Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésEpilepsyClimate changeExacerbationSleep deprivationExtreme weatherGlobal warmingNatural disasterAir quality indexHealth care

Résumé

récupéré en direct d'OpenAlex

Introduction The good and bad news regarding better health care for patients with epilepsy lie in the advances of research on the background of the negative impact of global challenges that are beyond the control of clinicians and researchers. Epilepsy and climate change Climate change as an important environmental variable in the generation and exacerbation of epilepsy can no longer be ignored (1). Consequences of climate change include more frequent and intense heatwaves and natural disasters and increased air pollution (2). Increased body temperature is well known to lower seizure threshold and to increase the risk of seizure-related brain damage. Brain injury due to the exposure to natural disasters increases the risk for post-traumatic epilepsy (3). Poor air quality directly impacts epilepsy through neuroinflammation (4). Air pollution decreases sleep efficiency (5), rising temperatures decrease the duration and quality of sleep (6), and worries about climate change or natural disasters negatively impact sleep (7). Sleep deprivation increases the likelihood of seizures (8). Seasonal influences that interact with climate change, individual genetic variation and multiple other factors give rise to a complex interaction between epilepsy and climate change that calls for the scientific development of better health services for people with epilepsy living under the negative impacts of climate change (1). Challenges in lower and middle income countries (LMIC) in the management of epilepsy Climate change has its biggest impact in those countries being the least responsible for it. Lower and middle income countries (LMICs), and more generally the nations in Africa, Central and South America, and South East Asia will experience more than 30 extra seasonal heatwave days for each degree °C in global warming (9). The negative consequences for patients with epilepsy hit a situation where accurate diagnosis and appropriate treatment is for most patients impossible because there are no experts and no services available. The conditions differ certainly from region to region, but there are some common challenges that are noteworthy. For example, in sub-Saharan Africa there is only one neurologist available for 5 million people (10). The treatment gap in this region is also attributable to newer generation antiseizure medication being available only at larger clinical centers or private clinics (11) and even in these specialized centers, antiseizure medication is often out of stock (12). Additionally, patients in sub-Saharan Africa were found to prefer treatment with traditional healers, which are much more accessible than neurologists in numbers (1 healer for 200 people (13)) and also in terms of the distance between the patients in rural areas and health care centers, where high costs for traveling are often not affordable (14). SUDEP Especially in LMICs, sudden unexpected death in epilepsy (SUDEP) as a major cause of mortality in epilepsy remains largely unknown among patients and to some extent even among neurologists (15). Propensity to tell patients with epilepsy about SUDEP is more likely among neurologists in academic settings and with epilepsy fellowships (16). The length of the definition of SUDEP as "sudden, unexpected, witnessed or unwitnessed, non-traumatic and non-drowning death, occurring in benign circumstances, in an individual with epilepsy, with or without evidence for a seizure and excluding documented status epilepticus (SE), in which postmortem examination does not reveal other causes of death" (17) already suggests the complicated issue of diagnosing SUDEP (18). SUDEP can be registered in mouse models (19) which led to novel insights especially regarding the cardiac dysfunctions suspected to contribute to SUDEP (20), but leaves many questions open (21). There is need for clinical data to study the clinical risk factors and to guide the development of preventive devices (22) for people at risk and for the development of novel therapies including promising approaches based on vesicles (23). AI for the management of epilepsy Among the technological developments that are named the most these days – not only in epilepsy research –artificial intelligence (AI) stands out. It stands out because of the massive funding it receives, being on the one hand extremely promising, but on the other hand highly controversial and doubted and even perceived as dangerous. AI also stands out because it has infiltrated so many aspects of health care and life with epilepsy, including patient education (24), automated detection of epileptiform activity in the EEG (25), comparison of effectivity of antiseizure medication (26), automated delineation of the epileptic lesion (27), predicting seizure recurrence (28), and controlling neuromodulation (29), to name a few examples. The strength of AI is in the ability to extract information from extremely large databases where manual analysis to find systematic patterns is not possible. At the same time, the reliance on the availability of large databases is the biggest limitatiuon of AI and the most common pitfall in its use, when AI models are trained with insufficient data, leading to unreliable results. Researchers and clinicians must be aware of these limitations when using AI and interpreting results generated with AI. (Deep) brain stimulation in epilepsy and advances in invasive recordings AI is also intensively used in neuromodulation and gives rise to recent advances in therapeutic brain stimulation. Following the general technical trend towards smaller devices, cortical electrodes based on novel nanomaterials including, for example, graphene (30) can improve solutions for brain mapping. Miniaturization of electrodes in pre-surgical and intra-surgical evaluation of eloquent vs. epileptogenic brain tissue holds the promise of a higher resolution and more accurate delineation of the to-be resected area. Miniaturization is especially relevant for novel concepts of DBS in epilepsy, such as promising approaches of multimodal thalamic DBS (31), with an overall promise that smaller scales of electrodes will also lead to more accurate targeting and fewer side effects (32). The further advances of chronically implanted devices for the control of seizures goes beyond a continuous stimulation towards closed-loop approaches. These are not restricted to implantable solutions. For example, recent advances in focused ultrasound stimulation (fUS) based on closed-loop technology have been demonstrated successfully in animal models (33). Low intensity fUS (LIFU) can be used for temporary modulation of brain activity and for opening the blood-brain barrier selectively for certain drugs while high intensity fUS can be employed to ablate epileptogenic tissue (34). Closed-loop developments are also a viable method to recover consciousness of patients during seizures using thalamic stimulation (35). The approach hits in the direction to treat the symptoms of seizures if their occurrence cannot be prevented. Rare diseases and pediatric epilepsy syndromes Poorly controlled seizures are the reality of many patients with underlying rare diseases, among them many pediatric epilepsy syndromes. Since genetic testing has become more widely available for the diagnostic assessment of childhood onset epilepsies, novel approaches including targeted next generation sequencing were applied to significantly sized samples including benign familial neonatal/infantile epilepsy, Dravet syndrome and epilepsy of infancy with migrating focal seizures (36). At the same time, therapeutic advances promise to reduce the occurrence of drug-resistant epilepsy for metabolic disorders if identified in-time (37). Therefore, experts call for neonatal screening for epileptic syndromes with actionable targeted therapies and emerging precision medicine approaches (37). However, the rare occurrence remains a challenge in the evaluation of new therapies, with a few exceptions including Dravet syndrome, Lennox-Gastaut syndrome, and West syndrome, for which considerable orphan drug development takes place (38). Nevertheless, recent examples such as the treatment of CDKL5 Deficiency Disorder with cannabidiol and tetrahydrocannabinol (39) and treatment of developmental and epileptic encephalopathy with spike wave activation in sleep with steroids (40) show that evidence consists often in anecdotal reports (39) and is generally limited by the absence of guidelines in formulations and dosages (40). Finally, more research is needed in the challenging transition from pediatric to adult care, especially among patients with comorbidities (41). Research of somatic mutations is an emerging field with promise to advance understanding of pediatric epilepsies (42). Pathogenic brain-limited somatic mutations can be detected in surgically resected cell tissue (43). Novel, minimally invasive methods through extraction of cell-free DNA from cerebrospinal fluid and microbulk tissue adherent to stereo-EEG electrodes allow the identification of these mutations that cause focal onset seizures (43). Epilepsy comorbidities across the life span Comorbidities are highly common in patients with developmental forms of epilepsy as the example of autism shows (44), but exist throughout the life span. The most striking insight is that for many of these comorbidities the relationship goes both ways. For example, psychiatric disorders including depression, anxiety, and psychosis are significantly more common among patients with epilepsy (44). However, patients with depression also have a higher risk of developing epilepsy (45). Also the relation between Alzheimer's Disease and epilepsy is bidirectional (46). In this context the treatment options must be carefully assessed, especially for psychiatric comorbidities where antiseizure medication might successfully suppress seizures but exacerbate mental health symptoms. Antiepileptogenesis As the above-mentioned case of developmental epilepsies shows, under certain circumstances epilepsy can and should be prevented (37). Beyond the neonatal case, poststroke epilepsy is a good candidate for the development and application of antiepileptogenic strategies, also because of its relatively high prevalence of about 10% among stroke survivors (47). While the identification of at-risk patients for poststroke epilepsy is realistic, there is a lack of effective drugs that prevent the condition (47) For posttraumatic epilepsy and genetic, noninjury epilepsy, animal models showed promise e.g. using pregabalin (48). Further research is needed to clarify the translatability of promising therapeutic interventions from injury models to genetic models (48). Advanced treatments in epilepsy Treatment of epilepsy is still not satisfying as about 30% of patients suffer from uncontrolled seizures (49). Novel antiseizure drugs such as cenobamate give rise to hope for patients with drug-resistant focal epilepsy, especially when prescribed early (50). Research towards more effective ways of treating epilepsy has entered a new era with gene and cell therapy being among the most exciting developments (51). Gene therapies under examination include adeno-associated virus-mediated delivery of genes encoding neuromodulatory peptides, neurotrophic factors, enzymes, and potassium channels, where rat models showed promising decrease of seizure frequency (51). Cell therapy can be roughly grouped in nervous system cells that are intravenously infused (52) or transplanted (53), injected MSCs (54), exosomes, e.g. derived from MSCs (55), bone marrow mononuclear cells (50), and encapsulated cell biodelivery (56). In-vivo models testing viral vectors demonstrated beneficial effects but cell-based therapy has entered clinical trials providing evidence for the benefits and safety based on the neuroprotective, anti-inflammatory, and immunomodulatory properties of the transplanted cells (51). Extracellular vesicles were found to hold promise not only as biomarkers for epilepsy, but also as therapeutic means for restraining consequences of status epilepticus (23). Wars Today we are facing global threats to peace. Wars are fought without respecting human rights, at the costs of civilian's lives, including children. For example, the war unleashed by the Russian Federation on the Ukraine led to a mass migration of approximately 15 million people (57). Many of the people living under attack suffer from pre-existing diseases, including epilepsy. While violence is a general threat to health, from past wars we know that war negatively impacts patients with epilepsy, already because of the psychological distress and trauma (58). Loss of medical documentation and test results, loss of contact with the usual medical care provider, additional complexity associated with the psychological and physiological consequences of war are just a few of the difficulties patients with epilepsy and other chronic disorders suffer as a direct consequence of war and displacement (57). In Gaza and throughout occupied Palestine, healthcare has collapsed, due to the blockade of aid by Israel and the destruction of health infrastructure and detention of healthcare workers (59). A severe shortage of antiseizure medication led to admission of patients to the intensive care units because of uncontrolled seizures, where prolonged sedation is the only treatment until supply of anticonvulsants is secured. However, status epilepticus due to medication shortage and seizures as a consequence of brain injury are only the tip of the iceberg. International networking, joint research with experts in the occupied regions, and telemedicine are some of the methods that experts in epilepsy can leverage to support healthcare workers and their patients during man-made humanitarian crises.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,321
Score d'incertitude au seuil0,968

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0050,004
Science ouverte0,0020,004
Intégrité de la recherche0,0090,006
Charge utile insuffisante (le modèle a refusé de juger)0,3210,178

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,292
Écart entre enseignants0,281 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2025
Routes d'admission1
Résumé présentoui

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