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Validating the Accuracy of Parkinson's Disease Clinical Diagnosis: A UK Brain Bank Case-Control Study.
Ann Neurol
January 2025
Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
Objective: Despite diagnostic criteria refinements, Parkinson's disease (PD) clinical diagnosis still suffers from a not satisfying accuracy, with the post-mortem examination as the gold standard for diagnosis. Seminal clinicopathological series highlighted that a relevant number of patients alive-diagnosed with idiopathic PD have an alternative post-mortem diagnosis. We evaluated the diagnostic accuracy of PD comparing the in-vivo clinical diagnosis with the post-mortem diagnosis performed through the pathological examination in 2 groups.
View Article and Find Full Text PDFValidity of one-time phantomless patient-specific quality assurance in proton therapy with regard to the reproducibility of beam delivery.
Med Phys
January 2025
OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Background: Patient-specific quality assurance (PSQA) is a crucial yet resource-intensive task in proton therapy, requiring special equipment, expertise and additional beam time. Machine delivery log files contain information about energy, position and monitor units (MU) of all delivered spots, allowing a reconstruction of the applied dose. This raises the prospect of phantomless, log file-based QA (LFQA) as an automated replacement of current phantom-based solutions, provided that such an approach guarantees a comparable level of safety.
View Article and Find Full Text PDFQuality of orthodontic care in an academic setting in the Middle East.
Sci Rep
January 2025
Department of Orthodontics, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Assessment of the quality of orthodontic care in a UAE-based orthodontic postgraduate training institution was conducted using multiple indices, including the Peer Assessment Rating (PAR), American Board of Orthodontics Objective Grading System (ABO-OGS), and Index of Complexity Outcome and Need (ICON). Retrospective evaluation of pre- and post-treatment records of patients (n = 201) treated with fixed orthodontic appliances was performed by two examiners Statistical analysis assessed the influence of gender, type of malocclusion, need for extraction, missed appointments and number of treating residents on treatment duration. The average numerical reduction of the PAR and ICON scores at the start and end of the treatment were 17.
View Article and Find Full Text PDFEffects of a Procrastination Intervention for Japanese University Students With Attention-Deficit/Hyperactivity Disorder Tendencies: An Interrupted Time Series Analysis.
J Cogn Psychother
January 2025
Faculty of Human Sciences, Waseda University, Tokorozawa, Saitama, Japan.
University students, especially those with attention-deficit/hyperactivity disorder (ADHD), experience distress due to procrastination. However, the existing treatment for adult ADHD does not adequately address procrastination. A brief procrastination-focused cognitive behavioral therapy program was developed for the current study, and its effects on procrastination, depression, and life satisfaction were assessed.
View Article and Find Full Text PDFSpatio-temporal transformers for decoding neural movement control.
J Neural Eng
January 2025
Department of Information Engineering, Electronics and Telecommunications, University of Rome La Sapienza, Piazzale Aldo Moro 5, Rome, 00185, ITALY.
Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to analyze neural activity in vivo remains a challenge, requiring a delicate balance between efficiency in low-data regimes and the interpretability of the results. Approach: To address this challenge, we introduce a novel specialized transformer architecture to analyze single-neuron spiking activity.
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