Deep brain stimulation and Parkinson disease: a bibliometric and visual analysis (1993-2023).

Deep brain stimulation (DBS) effectively treats Parkinson's disease (PD) motor symptoms, highlighting a gap in understanding current research trends and future directions. This study aims to analyze DBS literature systematically using bibliometric methods to map trends and identify opportunities. A total of 6,041 publications on DBS for PD from 1993 to 2023 were retrieved from the Web of Science Core Collection (WoSCC) on July 24, 2023.

Role of P × receptor during focused ultrasound induced blood brain barrier modulation.

Although low-intensity focused ultrasound (LiFUS) with microbubbles is used to temporally open the blood-brain barrier (BBB), the underlying mechanism is not fully understood. This study aimed to analyze BBB-related alterations in the brain microenvironment after LiFUS, with a focus on the involvement of the purinergic P ×  receptor. Sprague-Dawley rats were sonicated with LiFUS at 0.

Tract-specific white matter hyperintensities and neuropsychiatric syndromes: a multicentre memory clinic study.

Background: White matter hyperintensities (WMH) have been implicated in the pathogenesis of neuropsychiatric symptoms of dementia but the functional significance of WMH in specific white matter (WM) tracts is unclear. We investigate whether WMH burden within major WM fibre classes and individual WM tracts are differentially associated with different neuropsychiatric syndromes in a large multicentre study.

Method: Neuroimaging and neuropsychiatric data of seven memory clinic cohorts through the Meta VCI Map consortium were harmonised.

Incidence, case fatality, and functional outcome of intracerebral haemorrhage, according to age, sex, and country income level: a systematic review and meta-analysis.

Background: Intracerebral haemorrhage (ICH) accounts for approximately 28% of all strokes worldwide. ICH has a high case fatality, and only few survivors recover to independent living. Over the past decades, demographic changes, and changes in prevalence and management of risk factors may have influenced incidence.

A digital tool for multidimensional assessment and prediction of treatment effectiveness in chronic pain management.

Given the multidimensional aspect of pain, the assessment of treatment efficacy is challenging. The prospective observational multicenter PREDIBACK study aimed to assess, compare, and predict the effectiveness of different treatments for persistent spinal pain syndrome type 2 (PSPS-T2) using a digital tool and the Multidimensional Clinical Response Index (MCRI) including pain intensity, functional disability, quality of life, anxiety and depression, and pain surface. Results indicated that neurostimulation was the most effective treatment at 3-, 6-, 9-, and 12-month follow-up compared to baseline, leading to significant improvements in pain, function, and quality of life, whereas optimized medical management (OMM) and spinal reoperation showed no significant benefits.

Surgical Management of Intracerebral Hemorrhage: New Light on the Horizon?

After 30 years of disappointment, 2 randomized controlled trials investigating the effect of neurosurgical treatment on functional outcome in patients with intracerebral hemorrhage were published in 2024. The ENRICH trial (Early Minimally Invasive Removal of Intracerebral Hemorrhage) studied the efficacy of early minimally invasive hematoma removal in patients with lobar or anterior basal ganglia intracerebral hemorrhage, whereas the SWITCH trial investigated the effect of decompressive craniectomy without hematoma removal in severe deep intracerebral hemorrhage. In this critique article, we will discuss the main findings of these trials, their implications and future perspectives.

Disentangling the effect of sex from brain size on brain organization and cognitive functioning.

Neuroanatomical sex differences estimated in neuroimaging studies are confounded by total intracranial volume (TIV) as a major biological factor. Employing a matching approach widely used for causal modeling, we disentangled the effect of TIV from sex to study sex-differentiated brain aging trajectories, their relation to functional networks and cytoarchitectonic classes, brain allometry, and cognition. Using data from the UK Biobank, we created subsamples that removed, maintained, or exaggerated the TIV differences in the original sample.

Vagus nerve stimulation lead durability: Insights from an extensive monocentric single-operator adult series.

Background: Vagus nerve stimulation (VNS) is an established surgical option for neuromodulation. Lead failure is a significant complication mainly reported in children.

Methods: We conducted a retrospective review of all VNS-related surgeries for refractory epilepsy in adults performed by a single experienced surgeon at a French national referral center from November 2011 to March 2023.

Development and Validation of Machine Learning-Based Model for Hospital Length of Stay in Patients Undergoing Endovascular Interventional Embolization for Intracranial Aneurysms.

Objective: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms.

Methods: Employing a retrospective cohort study design, this study collected patients with ruptured IA who received endovascular treatment at Jingzhou First People's Hospital during the inclusion period from September 2022 to December 2023. The entire dataset was randomly split into training and testing dataset with a 7:3 ratio.

A systematic review and meta-analysis of endovascular treatment of carotid blowout syndrome.

Unlabelled: Carotid Blowout Syndrome (CBS) is a rare and life-threatening condition that necessitates prompt intervention to prevent fatal hemorrhage. This study compares the outcomes of two primary endovascular approaches: reconstructive interventions, which aim to preserve carotid artery function using stents or balloon angioplasty, and deconstructive interventions, which involve vessel occlusion to halt bleeding. A systematic review and meta-analysis were performed by searching multiple databases for relevant studies published from January 2000 to August 2023.

SEEG seizure onset patterns in mesial temporal lobe epilepsy: A cohort study with 76 patients.

Objectives: In the present study with a large cohort, we aimed to characterize intracerebral seizure onset patterns (SOP) of mesial temporal lobe epilepsy (mTLE), with or without hippocampal sclerosis (HS) as identified via magnetic resonance imaging (MRI).

Methods: We retrospectively analyzed 255 seizures of 76 consecutive patients with mTLE explored by stereoelectroencephalography (SEEG), including HS-mTLE (n = 52) and non-HS- mTLE (n = 24). Relevant results were obtained by a combination of spectral analysis and manual review.

Integrated Mendelian Randomization and Single-Cell Transcriptomics Analysis Identifies Critical Blood Biomarkers and Potential Mechanisms in Epilepsy.

Background: Epilepsy has a genetic predisposition, yet causal factors and the dynamics of the immune environment in epilepsy are not fully understood.

Methods: We analyzed peripheral blood samples from epilepsy patients, identifying key genes associated with epilepsy risk through Mendelian randomization, using eQTLGen and genome-wide association studies. The peripheral immune environment's composition in epilepsy was explored using CIBERSORT.

Risk factors for overtaking, rear-end, and door crashes involving bicycles in the United Kingdom: Revisited and reanalysed.

Background And Objective: Relevant research has provided valuable insights into risk factors for bicycle crashes at intersections. However, few studies have focused explicitly on three common types of bicycle crashes on road segments: overtaking, rear-end, and door crashes. This study aims to identify risk factors for overtaking, rear-end, and door crashes that occur on road segments.

Deciphering network dysregulations and temporo-spatial dynamics in disorders of consciousness: insights from minimum spanning tree analysis.

Objectives: The neural mechanism associated with impaired consciousness is not fully clear. We aim to explore the association between static and dynamic minimum spanning tree (MST) characteristics and neural mechanism underlying impaired consciousness.

Methods: MSTs were constructed based on full-length functional magnetic resonance imaging (fMRI) signals and fMRI signal segments within each time window.

Efferocytosis: The Janus-Faced Gatekeeper of Aging and Tumor Fate.

From embryogenesis to aging, billions of cells perish daily in mammals. The multistep process by which phagocytes engulf these deceased cells without eliciting an inflammatory response is called efferocytosis. Despite significant insights into the fundamental mechanisms of efferocytosis, its implications in disorders such as aging and cancer remain elusive.

Single-neuron spiking variability in hippocampus dynamically tracks sensory content during memory formation in humans.

During memory formation, the hippocampus is presumed to represent the content of stimuli, but how it does so is unknown. Using computational modelling and human single-neuron recordings, we show that the more precisely hippocampal spiking variability tracks the composite features of each individual stimulus, the better those stimuli are later remembered. We propose that moment-to-moment spiking variability may provide a new window into how the hippocampus constructs memories from the building blocks of our sensory world.

Raddeanin A (RA) Inhibited EMT and Stemness in Glioblastoma via downregulating Skp2.

Glioblastoma (GBM), notorious for its poor prognosis, stands as a formidable challenge within the central nervous system tumor category, primarily due to its intricate pathology that encompasses stemness and the epithelial-mesenchymal transition (EMT). The ubiquity of S phase kinase-associated protein 2 (Skp2) overexpression in GBM, a protein implicated in both EMT and stemness traits, correlates with increased drug resistance, elevated tumor grades, and adverse outcomes. This investigation delves into the impact of Raddeanin A (RA), a triterpenoid compound extracted from Anemone raddeana Regel, on GBM, with a special focus on its influence over Skp2 expression levels.

The fungal gut microbiota in pediatric-onset multiple sclerosis.

Evidence suggests that the gut microbiome may play a role in multiple sclerosis (MS). However, the majority of the studies have focused on gut bacterial communities; none have examined the fungal microbiota (mycobiota) in persons with pediatric-onset multiple sclerosis (POMS). We examined the gut mycobiota in persons with and without POMS through a cross-sectional examination of the gut mycobiota from 46 participants' stool samples (three groups: 18 POMS, 13 acquired monophasic demyelinating syndromes [monoADS], and 15 unaffected controls).

Gliomagenesis mimics an injury response orchestrated by neural crest-like cells.

Glioblastoma is an incurable brain malignancy. By the time of clinical diagnosis, these tumours exhibit a degree of genetic and cellular heterogeneity that provides few clues to the mechanisms that initiate and drive gliomagenesis. Here, to explore the early steps in gliomagenesis, we utilized conditional gene deletion and lineage tracing in tumour mouse models, coupled with serial magnetic resonance imaging, to initiate and then closely track tumour formation.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

Trends and hotspots of stereoelectroencephalogram from 2002 to 2023: a bibliometric analysis.

Background: Stereoelectroencephalography (SEEG), as a minimally invasive method that can stably collect intracranial electroencephalographic information over long periods, has increasingly been applied in the diagnosis and treatment of intractable epilepsy in recent years. Over the past 20 years, with the advancement of materials science and computer science, the application scenarios of SEEG have greatly expanded. Bibliometrics, as a method of scientifically analyzing published literature, can summarize the evolutionary process in the SEEG field and offer insights into its future development prospects.