Unlabelled: Sudeck's atrophy: pathophysiology and treatment of a complex pain syndrome.
Summary: The "Morbus Sudeck" or Complex Regional Pain Syndrome (CRPS) forms a typical triad of motor, sensory and autonomic symptoms. It is clinically characterized by spontaneous pain and hyperalgesia not limited to a single nerve territory and disproportionate to the inciting event. An underlying pathophysiology which could explain the whole symptomatology of CRPS is still unknown. Therefore, nowadays therapy is still symptomatic. However, recent research led to a better understanding of the disease and to the beginning of a pathophysiologically orientated therapy.
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http://dx.doi.org/10.1055/s-2002-20221 | DOI Listing |
PLoS One
January 2025
Department of Neurology, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea.
Introduction: Sarcopenia, characterized by reduced skeletal muscle mass (RMM), is increasingly recognized as a significant factor influencing outcomes in various health conditions, including stroke. Although most studies focus on sarcopenia developing during stroke rehabilitation, the impact of sarcopenia present at the onset of acute ischemic stroke remains underexplored. This study aims to evaluate the effect of RMM at stroke onset on 3-month functional outcomes in acute ischemic stroke patients.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Purpose: To investigate the relationship between nocturnal blood pressure (BP) dip and parapapillary choroidal vessel density (pCVD) in patients with normal-tension glaucoma (NTG).
Methods: This study analyzed 267 eyes of 267 untreated NTG patients who underwent 24-hour (h) intraocular pressure (IOP) and ambulatory BP monitoring in the habitual position. Patients were classified into 3 groups [non-dippers (nocturnal BP dip < 10%), dippers (nocturnal BP dip between 10% and 20%, and over-dippers (nocturnal BP dip > 20%)], and pCVDs were measured by using optical coherence tomography angiography (OCTA) images.
Brain
January 2025
U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team; INSERM, University of Caen Normandy; GIP Cyceron, 14000 Caen, France.
Curing Alzheimer's disease remains hampered by an incomplete understanding of its pathophysiology and progression. Exploring dysfunction in medial temporal lobe networks, particularly the anterior-temporal (AT) and posterior-medial (PM) systems, may provide key insights, as these networks exhibit functional connectivity alterations along the entire Alzheimer's continuum, potentially influencing disease propagation. However, the specific changes in each network and their clinical relevance across stages are not yet fully understood.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Neurology, School of Medical Sciences, University of Campinas-UNICAMP, Universitaria "Zeferino Vaz", Rua Tessália Vieira de Camargo, 126. Cidade, Campinas, SP, 13083-887, Brazil.
Background: Skeletal and cardiac muscle damage have been increasingly recognized in female carriers of DMD pathogenic variants (DMDc). Little is known about cognitive impairment in these women or whether they have structural brain damage.
Objective: To characterize the cognitive profile in a Brazilian cohort of DMDc and determine whether they have structural brain abnormalities using multimodal MRI.
J Neurol
January 2025
Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, Praha 6, 16000, Prague, Czech Republic.
Background And Objectives: Patients with synucleinopathies such as multiple system atrophy (MSA) and Parkinson's disease (PD) frequently display speech and language abnormalities. We explore the diagnostic potential of automated linguistic analysis of natural spontaneous speech to differentiate MSA and PD.
Methods: Spontaneous speech of 39 participants with MSA compared to 39 drug-naive PD and 39 healthy controls matched for age and sex was transcribed and linguistically annotated using automatic speech recognition and natural language processing.
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