Extracellular Vesicles in Spinal Cord Injury Extracellular vesicles (EVs) have emerged as pivotal players in cell communication and biomarker discovery, […]
Early detection of traumatic brain hematoma using machine learning Not reported Key findings from the case report – The case
Study Purpose The aim of this research is to explore the efficacy of digital neurocognitive assessments in evaluating Traumatic Brain
Rehabilitation Framework The management of functional movement disorders (FMDs) necessitates a structured rehabilitation framework that emphasizes a multidisciplinary approach. This
Study Overview The investigation featured in this article centers around the complexities of mild traumatic brain injury (mTBI) and its
Dissociation Mechanisms Dissociation involves a complex interplay between various cognitive processes, neuronal regulation, and emotional responses that can manifest in
Dissociation and Seizure Classification Dissociation is a complex psychological phenomenon characterized by disruptions in the normal integration of consciousness, memory,
Study Overview The research focused on the implications of resting-state electroencephalography (EEG) combined with machine learning techniques to explore cortical
Advancements in Concussion Assessment Recent developments in the assessment of concussions for para sport athletes reflect a growing recognition of
Diagnostic Challenges Diagnosing conditions such as psychogenic non-epileptic events (PNEEs), sleep-related rhythmical movement disorders (RMDs), and hypermotor seizures presents considerable
