Neurology

Machine learning-assisted characterization of cervid skin tissues with chronic wasting disease by nano-enabled Raman spectroscopic biosensing.

Chronic wasting disease (CWD) is a contagious neurodegenerative disease in cervids and its spread threatens the health of wild and farm-raised animals. A rapid screening method for CWD is in great demand. Compared to current diagnostic methods, ELISA and immunohistochemistry, Raman spectroscopic biosensing offers a potential approach to screen for CWD in real time and onsite, which is currently la...

BACNet: A multi-attention network for cross-subject and cross-task EEG-based pilot operational intent recognition.

BACKGROUND AND OBJECTIVE: Recognizing pilot operational intent is crucial for enhancing flight safety and improving the efficiency of human-machine interaction. Electroencephalography (EEG), known for its high temporal resolution and non-invasive acquisition, has become a prominent modality for this task. However, current approaches often suffer from high model complexity and limited accuracy in E...

CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction.

DNA-binding proteins (DBPs) are fundamental to many key cellular processes, possessing distinct binding domains, differential affinities for single- a...

Probabilistic maps of white matter hyperintensity in a Chinese aging cohort and application for clinical diagnosis.

OBJECTIVES: White matter hyperintensities (WMH) are abnormalities in brain imaging that contribute to cognitive decline and diseases. This study aimed...

Biased minds, sensitive hearts: Divergent neural signatures of interpersonal sensitivity in atypical and non-atypical depression.

BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensitivity as one of its core characteristics. However, ...

Robotic thoracic surgery: what is different in anesthesia?

PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach in thoracic surgery, enabling enhanced precision ...

Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.

Delays in stroke diagnosis contribute to long-term disability. Many patients still face barriers to effective risk factor management, timely detection...

Closed-Loop Control of Epilepsy Based on Reinforcement Learning.

This study proposes a novel adaptive DBS control strategy for epilepsy treatment based on deep reinforcement learning. By establishing a random distur...

Unveiling manganese metabolism-related biomarkers in Alzheimer's disease: Insights into diagnosis and therapeutic targets.

BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder with multifactorial etiologies, has been closely associated with disturbances in ma...

Patients' and physiotherapists' experiences with robotic technologies for lower extremity rehabilitation following spinal cord injury: a reflexive thematic analysis.

PURPOSE: To explore perceived benefits, barriers and motivational factors related to exercising with the robotic device ROBERT® among patients undergo...

An adaptive decoupling learning system informed by the brain functional structure for EEG decoding.

Neuroscientific investigations have revealed the presence of regional pathway connections among functional brain areas, as well as the asymmetrical st...

Neurophysiological mechanisms and predictive modeling of SSRI treatment response in depression disorder based on multidimensional EEG features.

BACKGROUND: Depression exhibits significant heterogeneity in antidepressant treatment response. This study aimed to develop an Electroencephalography ...

GPT-4o in Nutrition for Inpatients Undergoing Post-Stroke Rehabilitation: Identifying Dietary Errors, Exploring Expert-AI Rationale Differences, and Structuring AI-Expert Collaboration.

OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring strict dietary management. However, manual and ti...

A data-driven modeling approach to prediction of persistent foot drop after gastroc-soleus lengthening surgery in children with cerebral palsy.

BACKGROUND: Gastrocsoleus lengthening (GSL) is an established surgical intervention for equinus deformity in children with cerebral palsy (CP). While ...

Cingulate atrophy as a shared structural basis for cognitive and functional brain impairments in GAD, PD, and OCD: Links to shared gene expression and treatment implications.

BACKGROUND: Structural brain deficits associated with generalized anxiety disorder (GAD), panic disorder (PD), and obsessive-compulsive disorder (OCD)...

Brain dynamics and depressive symptoms in young adults: Evidence from EEG.

BACKGROUND: Depression is a major public health concern, with a rising prevalence among adolescents and young adults. However, the neural mechanisms u...

Nodular Growths of NF2 -Related Schwannomatosis Vestibular Schwannoma: Clinical and Therapeutical Consequences.

BACKGROUND AND OBJECTIVES: Neurofibromatosis type 2-related schwannomatosis ( NF2 -SWN) is marked by the growth of bilateral vestibular schwannoma (VS...

Artificial Intelligence 3D Augmented Reality-guided Robotic Prostatectomy Versus Cognitive MRI Intervention: Results of the Prospective Randomized RIDERS Trial.

BACKGROUND AND OBJECTIVE: Three-dimensional (3D) augmented reality (AR) and artificial intelligence (AI) technologies have recently been introduced to...

Development and validation of an age prediction model using mRNA markers.

As a downstream product of transcriptional regulation, mRNA offers valuable insights into age-associated molecular changes and shows considerable pote...

CNN-Autoformer: Automated EEG-Based Seizure Detection and Localization Using Hybrid Deep Learning.

Epilepsy is a neurological disorder characterized by transient and recurrent abnormal brain activity, often diagnosed through manual inspection extens...