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Chinese Neurosurgical Journal study explores the role of a combined therapy in Parkinson’s disease treatment

Researchers investigated a combination of stem cell therapy and BDNF enhancement to treat Parkinson's disease. The strategy aims to promote neuroregeneration and functional recovery by introducing progenitor cells genetically matched to the donors, while upregulating BDNF to mitigate neuronal loss and enhance motor function.

SourceChinese Neurosurgical Journal·JournalChinese Neurosurgical Journal·TypeImaging analysis·DateDec 16, 2025

Rangsit University study shows simple bypass protocol improves outcomes in chronic cerebral occlusion

A study from Rangsit University shows that a simple bypass protocol guided by mean transit time can improve symptoms in 80% of patients with chronic cerebral occlusion or moyamoya disease. The protocol uses non-stress testing to evaluate cerebrovascular reserve and predict postoperative improvement.

SourceChinese Neurosurgical Journal·JournalChinese Neurosurgical Journal·TypeObservational study·DateDec 12, 2025

Reproduced human neural circuits show the crucial role of the thalamus in shaping the cortical circuit

Scientists have successfully replicated human neural circuits using assembloids, a type of miniature organoid derived from induced pluripotent stem cells. The study shows that the thalamus plays a crucial role in shaping cell-type specific neural circuits in the human cerebral cortex, promoting cortical growth and maturation.

SourceNagoya University·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateDec 12, 2025

Researchers develop AI Tool to identify undiagnosed Alzheimer's cases while reducing disparities

Researchers developed an AI tool to identify patients with undiagnosed Alzheimer's disease using electronic health records, addressing underdiagnosis and healthcare inequities. The model achieved sensitivity rates of 77-81% across diverse populations, promoting fairness while maintaining high accuracy.

Researchers develop models to help diagnose ALS earlier through blood biomarkers

Scientists at Michigan Medicine have developed machine learning models that can analyze blood samples for biomarkers to detect ALS earlier and predict disease severity. The models show promising results, with predictions accurate up to 91% in some cases, and could lead to improved diagnostic accuracy and treatment options.

SourceMichigan Medicine - University of Michigan·JournalNature Communications·TypeComputational simulation/modeling·DateDec 10, 2025

Multichannel 3D-printed bioactive scaffold combined with siRNA delivery for spinal cord injury recovery

Researchers developed an innovative treatment platform combining a multichannel 3D-printed bioactive scaffold with siRNA delivery for enhanced axon regeneration and improved motor function in spinal cord injury rats. The therapy addressed multiple pathological barriers, including insufficient intrinsic axonal regeneration, lack of dire...

SourceResearch·JournalResearch·TypeNews article·DateDec 8, 2025

How maternal distress affects neurological development in children: New study sheds light

A new study found that maternal psychological distress experienced at 1 year postpartum has a stronger association with neurodevelopmental delay in toddlers compared to prenatal distress. The researchers also discovered that experiencing distress during both pregnancy and postpartum periods further amplifies the risk of delays.

SourceUniversity of Toyama·JournalJAMA Network Open·TypeObservational study·DateDec 8, 2025

New technique maps genetic variants driving neurodegenerative disease risk

A new method developed by Penn State researchers improves the analysis of genetic data, identifying more genes associated with neurodegenerative diseases like Alzheimer's and ALS. The technique, BASIC, integrates both bulk tissue samples and single-cell data to uncover shared genetic effects across different cell types.

SourcePenn State·JournalNature Communications·TypeData/statistical analysis·DateDec 2, 2025

Engineering smarter care for ALS patients

University of Missouri researchers are combining in-home sensor technology with artificial intelligence to monitor daily changes in ALS patients' health. The system uses machine learning to estimate a patient's score on the ALS Functional Rating Scale Revised, predicting potential problems before they occur.

SourceUniversity of Missouri-Columbia·JournalFrontiers in Digital Health·DateDec 2, 2025

Hospital infections associated with higher risk of dementia

A new meta-analysis published in Aging-US found a significant association between hospitalization for infections and the risk of developing dementia. Adults hospitalized with infections were at an increased risk of all-cause dementia, especially after a single infection-related hospitalization, which can speed up cognitive decline.

SourceImpact Journals LLC·JournalAging-US·TypeNews article·DateNov 25, 2025

Clogged ‘drains’ in the brain a likely early-warning sign of Alzheimer’s disease, find NTU Singapore scientists

A study by NTU Singapore researchers found that enlarged perivascular spaces, or 'clogged drains', in the brain are a likely early-warning sign of Alzheimer's disease. The condition can be visually identified on routine MRI scans, complementing existing methods to detect Alzheimer's earlier.

SourceNanyang Technological University·JournalNeurology·TypeObservational study·DateNov 18, 2025

Analysis reveals that imaging is overused in diagnosing and managing the facial paralysis disorder Bell’s palsy

A nationwide analysis found that roughly 25% of patients with Bell's palsy received CT or MRI scans within 30 days of diagnosis, not aligned with current guidelines. This study highlights the need for initiatives to align clinical practice with evidence-based guidelines, promoting early treatment and minimizing unnecessary imaging.

UT Health San Antonio Center for Brain Health celebrates ‘a new era of hope, healing and discovery’ with ribbon-cutting

The UT Health San Antonio Center for Brain Health is a $100 million facility that brings together clinical care, diagnostics and research under one roof. The center will redefine treatment of conditions including Alzheimer's, dementia, stroke and Parkinson's with multidisciplinary care teams.

Anti-amyloid therapy does not change short-term waste clearance in Alzheimer’s

A study by Osaka Metropolitan University found that lecanemab treatment does not change short-term waste clearance function in Alzheimer's patients. The glymphatic system, which carries away metabolic waste like Aβ, is already damaged in AD patients, and treatment may not be enough to restore lost function.

SourceOsaka Metropolitan University·JournalJournal of Magnetic Resonance Imaging·TypeObservational study·DateNov 11, 2025

Nonsurgical treatment shows promise for targeted seizure control

A nonsurgical approach has been demonstrated to quiet a specific brain circuit in an animal model by delivering engineered gene therapy only to the targeted region. The method uses low-intensity focused ultrasound to open the blood-brain barrier, allowing precise control over brain activity without impacting off-target areas.

SourceRice University·JournalACS Chemical Neuroscience·TypeExperimental study·DateNov 11, 2025

Chinese Neurosurgical Journal study explores the role of aging‑related genes in intracranial aneurysms

Researchers identified 32 common differentially expressed genes involved in IA, including NGFR and SERPINE1, which may serve as biomarkers. The study suggests that understanding the involvement of aging-related genes can aid in developing therapeutic strategies to minimize surgical interventions.

SourceChinese Neurosurgical Journal·JournalChinese Neurosurgical Journal·TypeData/statistical analysis·DateNov 10, 2025

A Huazhong University of Science and Technology study reports a novel optical mapping technique for neurosurgery

A new contactless optical-tracking registration method has been developed to simplify robot-guided SEEG surgery, reducing positioning errors and procedure time. The study demonstrates the accuracy and ease of use of this technique, making it a promising innovation in neurosurgery.

SourceChinese Neurosurgical Journal·JournalChinese Neurosurgical Journal·TypeExperimental study·DateNov 6, 2025

USC researchers use AI to uncover genetic blueprint of the brain’s largest communication bridge

The study identified dozens of genetic regions that influence the size and thickness of the corpus callosum and its subregions. The research team created an AI-powered tool that finds and measures the corpus callosum in brain MRI scans automatically, allowing for unprecedented analysis of brain structure at scale and precision.

SourceKeck School of Medicine of USC·JournalNature Communications·TypeImaging analysis·DateNov 4, 2025

Disrupted connectivity of the brainstem ascending reticular activating system nuclei-left parahippocampal gyrus could reveal mechanisms of delirium following basal ganglia intracerebral hemorrhage

Delirium in critically ill patients with basal ganglia intracerebral hemorrhage shows disrupted connectivity between the brainstem's ascending reticular activating system nuclei and the left parahippocampal gyrus. This disruption is linked to delirium occurrence and may serve as a biomarker for prediction.

SourceXia & He Publishing Inc.·JournalNeurosurgical Subspecialties·DateOct 31, 2025

Opportunities and challenges of multimodal electroencephalography and functional near infrared spectroscopy in neurological disorders

This study analyzed global publications of EEG-fNIRS synchronization techniques for their diagnostic and therapeutic value in clinical applications. The research identified hotspots, development trends, and future directions in neurology, emphasizing the importance of multimodal technology for disease diagnosis and treatment.

SourceXia & He Publishing Inc.·JournalNeurosurgical Subspecialties·DateOct 30, 2025

Mount Sinai study finds chronic traumatic encephalopathy (CTE) rare among individuals with isolated brain injuries

Researchers at Mount Sinai found chronic traumatic encephalopathy (CTE) rare among individuals with isolated brain injuries. The study, published in the Journal of Neuropathology & Experimental Neurology, analyzed postmortem brain tissue from 47 donors and revealed that CTE is more common in those with extensive repetitive head impacts.

SourceThe Mount Sinai Hospital / Mount Sinai School of Medicine·JournalJournal of Neuropathology & Experimental Neurology·TypeObservational study·DateOct 23, 2025