Higher systemic immune-inflammation index associated with increased mortality after ischemic stroke
Higher inflammation marker linked to increased death risk after ischemic stroke
A retrospective cohort study of 1,156 ischemic stroke patients found that each standard deviation increase in the systemic immune-inflammati…
Higher inflammation levels after an ischemic stroke are linked to a 17% greater risk of death for every standard increase in the blood test …
Tirofiban plus aspirin associated with lower early neurological deterioration in branch atheromatous disease
Early tirofiban plus aspirin linked to fewer early neurological declines in branch atheromatous disease patients
A retrospective single-center cohort study in patients with acute branch atheromatous disease found early tirofiban plus aspirin was associa…
Early tirofiban plus aspirin reduced early neurological decline from 55.1% to 10.1% in branch atheromatous disease patients compared to stan…
9.4T MRI shows similar FCD detection to 3T in small epilepsy cohort, reveals one quantitative feature
Can a stronger MRI scanner find hidden seizure causes that a standard scan misses?
A small cohort study of 21 patients with drug-resistant focal epilepsy found 9.4T MRI did not identify new epileptogenic lesions in 3T-negat…
A powerful 9.4T MRI scanner spotted hidden seizure causes in two patients that standard scans missed, but found no new issues in others.
Normative MRI modelling identifies critical brain volume deviations associated with disability in multiple sclerosis
Do brain scans show more warning signs of disability in multiple sclerosis than in healthy people?
This observational cohort study applied a normative model trained on 62,444 healthy MRI datasets to scans from 362 people with multiple scle…
Brain scans reveal that people with multiple sclerosis have more critical volume deviations than healthy individuals, directly linked to hig…
CSF alpha-synuclein seed amplification assay shows high intra-individual consistency in Parkinson's disease
Does a single brain scan truly predict Parkinson's disease years later?
An observational review of the PPMI cohort (n=1238) found serial CSF alpha-synuclein seed amplification assay (aSyn-SAA) results were highly…
A single brain scan predicting Parkinson's disease stays accurate for most patients, but results for healthy people without the disease can …
6-metabolite blood biomarkers aid differential diagnosis of Parkinson's disease versus healthy controls and other neurodegenerative conditions
Can a simple blood test tell the difference between Parkinson's and other brain diseases?
This observational study assessed a 6-metabolite blood biomarker (6M-BB) profiled by 1H NMR for distinguishing Parkinson's disease (PD) from…
A simple blood test using six metabolites correctly identified Parkinson's disease in nearly 95% of cases while distinguishing it from other…
Machine-learning models for sleep stage and respiratory event detection showed performance comparable to expert scorers in healthy and suspected sleep-disordered breathing participants
Can computer programs match human experts at reading your sleep data?
This study evaluated machine-learning models for sleep stage classification, arousal detection, and respiratory event detection using overni…
Smart computer models can match human experts at reading sleep data for stages and wake-ups, though they still lag behind humans when spotti…
Global bibliometric analysis reveals neuroendoscopy research evolution from conservative treatment to augmented reality over two decades
How has global research on brain surgery for bleeding changed over the last twenty years?
This bibliometric review analyzed 403 articles from authors at 555 institutions across 43 countries regarding neuroendoscopy for intracrania…
Global brain surgery research has shifted from proving safety to refining precise, high-tech treatments for bleeding over the last twenty ye…
In Parkinson's disease, OFF predictability and clinical features explain more OFF impact variance than OFF time
Study finds predictability of Parkinson's OFF episodes matters more than their duration
This observational review analyzed 1,252 OFF-only visits from 430 PPMI participants to identify correlates of OFF burden.
Parkinson's OFF episodes hurt more when they are unpredictable, not just when they are long, as new data shows predictability matters most f…
Hierarchical Barycentric Framework Shows Consistent Improvements in Brain Tumor MRI Analysis
New AI method shows consistent improvements in brain tumor MRI analysis tasks
A preprint computational study proposes a novel Hierarchical Barycentric Multimodal Representation Learning framework for medical imaging.
A new AI method consistently improves how medical images analyze brain tumors, offering a more robust way to handle missing data in scans.
Customized 3D-printed PMMA molds yielded satisfactory aesthetics in 87.5% of eight cranioplasty patients
Small study finds 3D-printed molds help create custom cranioplasty implants with good results
This retrospective case series evaluated customized polymethylmethacrylate (PMMA) implants fabricated using 3D-printed molds in eight patien…
3D-printed molds helped create custom skull implants with good results in a small group of patients, offering a low-cost option for cranial …
Connectomics-guided meta-learning framework decoded sleep spindles in 17 Parkinson's disease patients with DBS implants
New method predicts sleep spindles in Parkinson's patients with high accuracy
This clinical study evaluated a connectomics-guided meta-learning framework in 17 patients with Parkinson's disease and bilateral deep brain…
A new system predicts sleep spindles in Parkinson's patients with 83% accuracy two seconds ahead, offering a path to target sleep disturbanc…