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Cureus
December 2024
Neurosurgery, Fluminense Federal University, Niterói, BRA.
Complex regional pain syndrome (CRPS) is a chronic pain condition characterized by significant sensory, motor, and autonomic dysfunction, often following trauma or nerve injury. Historically known as causalgia and reflex sympathetic dystrophy, CRPS manifests as severe, disproportionate pain, often accompanied by hyperalgesia, allodynia, trophic changes, and motor impairments. Classified into type I (without nerve injury) and type II (associated with nerve damage), CRPS exhibits a complex pathophysiology involving peripheral and central sensitization, neurogenic inflammation, maladaptive brain plasticity, and potential autoimmune and psychological influences.
View Article and Find Full Text PDFGeriatrics (Basel)
December 2024
Department of Psychology, University of Oviedo, 33003 Oviedo, Spain.
Primary progressive aphasia (PPA) is a clinical syndrome characterized by a progressive deterioration in language and speech. It is classified into three variants based on symptom patterns: logopenic, semantic, and non-fluent. Due to the lack of fully reliable and valid screening tests for diagnosing PPA and its variants, a Spanish version of the Mini Linguistic State Examination (MLSE) has recently been introduced.
View Article and Find Full Text PDFFront Aging Neurosci
January 2025
Department of Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Background: The perception of Subjective Visual Vertical (SVV) is crucial for postural orientation and significantly reflects an individual's postural control ability, relying on vestibular, visual, and somatic sensory inputs to assess the Earth's gravity line. The neural mechanisms and aging effects on SVV perception, however, remain unclear.
Objective: This study seeks to examine aging-related changes in SVV perception and uncover its neurological underpinnings through functional near-infrared spectroscopy (fNIRS).
Proc IEEE Int Symp Biomed Imaging
May 2024
Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Utilizing a multi-task deep learning framework, this study generated synthetic CT (sCT) images from a limited dataset of Ultrashort echo time (UTE) MRI for transcranial focused ultrasound (tFUS) planning. A 3D Transformer U-Net was employed to produce sCT images that closely replicated actual CT scans, demonstrated by an average Dice coefficient of 0.868 for morphological accuracy.
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