Neurology

Analysis of 2-dimensional regional differences in the peripapillary scleral fibroblast cytoskeleton of normotensive and hypertensive mouse eyes.

These studies aimed to study the mechanisms of glaucomatous peripapillary scleral (PPS) remodeling by investigating IOP-induced changes in fibroblast actin-collagen alignment and nuclear morphology in mouse PPS. Cryosections from the optic nerve heads (ONH) of eyes isolated 1- and 6-weeks after bead-induced IOP elevation were imaged for nuclei, fibrillar actin (FA), and collagen (second harmonic g...

Single pulse electrical stimulation of the medial thalamic surface induces narrower high gamma band activities in the sensorimotor cortex.

The human thalamus projects nerve fibers to all cortical regions and propagates epileptic activity. However, opportunities to directly record thalamic and cortical neural activities simultaneously are extremely limited and their electrophysiological interactions remain largely unexplored. Therefore, in this study, we recruited six patients who underwent awake craniotomy with opened lateral ventric...

Potential role of TNFRSF12A in linking glioblastoma and alzheimer's disease via shared tumour suppressor pathways.

Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively studied in cancer biology. However, their roles in n...

Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome.

Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies. We report a plasma EV enrichment strategy using ...

Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges.

Parkinson's disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the hea...

Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.

Clinical two-dimensional (2D) MRI data has seen limited application in the early diagnosis of Parkinson's disease (PD) and multiple system atrophy (MS...

AI-based CT assessment of 3117 vertebrae reveals significant sex-specific vertebral height differences.

Predicting vertebral height is complex due to individual factors. AI-based medical imaging analysis offers new opportunities for vertebral assessment....

EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific app...

Attention-driven hybrid deep learning and SVM model for early Alzheimer's diagnosis using neuroimaging fusion.

Alzheimer's Disease (AD) poses a significant global health challenge, necessitating early and accurate diagnosis to enable timely interventions. AD is...

Evaluating ChatGPT and DeepSeek in postdural puncture headache management: a comparative study with international consensus guidelines.

OBJECTIVE: To evaluate the use of ChatGPT and DeepSeek in clinical practice to provide healthcare professionals with accurate information on the preve...

Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson's disease patients.

BACKGROUND: Traditional clinical diagnostic methods of rapid eye movement sleep behavior disorder (RBD) have certain limitations, especially in the ea...

Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery.

BACKGROUND: Despite the widespread use of stereotactic radiosurgery (SRS) to treat cerebral arteriovenous malformations (AVMs), this procedure can lea...

Atrophy related neuroimaging biomarkers for neurological and cognitive function in Wilson disease.

BACKGROUND: Although brain atrophy is a prevalent finding in Wilson disease (WD), its role as a contributing factor to clinical symptoms, especially c...

Multisensory BCI promotes motor recovery via high-order network-mediated interhemispheric integration in chronic stroke.

BACKGROUND: Chronic stroke patients often experience persistent motor impairments, and current rehabilitation therapies rarely achieve substantial fun...

Identification of plasma proteins associated with seizures in epilepsy: A consensus machine learning approach.

Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiological understanding and valuable clinical tools for b...

Revisiting Euclidean alignment for transfer learning in EEG-based brain-computer interfaces.

Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EEG-based brain-computer interfaces (BCIs) usually n...

The impact of EEG preprocessing parameters on ultra-low-power seizure detection.

OBJECTIVE: Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. A major challenge is fast and reliable seizure det...

Microstate Analysis of Resting-State EEG Signals for Classifying Tinnitus from Healthy Subjects.

Electroencephalography (EEG) is a noninvasive technique for studying brain electrophysiology with high temporal resolution. Microstate analysis exami...

Electroencephalogram features support the retrogenesis hypothesis of Alzheimer's disease: Exploratory comparison of brain changes in aging and childhood.

BackgroundThe retrogenesis hypothesis (RH) suggests that the functional and cognitive decline observed in Alzheimer's disease dementia mirrors in reve...

An Artificial Intelligence Tool for the Diagnosis of Facial Pain.

BACKGROUND AND OBJECTIVES: Differentiation between temporomandibular disorders (TMDs) and trigeminal neuralgia (TN) as causes of orofacial pain is ver...