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Multiscale Analysis of Alzheimer's Disease Using Feature Fusion in Cognitive and Sensory Brain Regions.
Digit Biomark
December 2024
Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI, USA.
Introduction: This research is focused on early detection of Alzheimer's disease (AD) using a multiscale feature fusion framework, combining biomarkers from memory, vision, and speech regions extracted from magnetic resonance imaging and positron emission tomography images.
Methods: Using 2D gray level co-occurrence matrix (2D-GLCM) texture features, volume, standardized uptake value ratios (SUVR), and obesity from different neuroimaging modalities, the study applies various classifiers, demonstrating a feature importance analysis in each region of interest. The research employs four classifiers, namely linear support vector machine, linear discriminant analysis, logistic regression (LR), and logistic regression with stochastic gradient descent (LRSGD) classifiers, to determine feature importance, leading to subsequent validation using a probabilistic neural network classifier.
Enhanced Delta Band Neural Tracking of Degraded Fundamental Frequency Speech in Noisy Environments.
J Cogn Neurosci
January 2025
National Central University, Taoyuan City, Taiwan.
Pitch variation of the fundamental frequency (F0) is critical to speech understanding, especially in noisy environments. Degrading the F0 contour reduces behaviorally measured speech intelligibility, posing greater challenges for tonal languages like Mandarin Chinese where the F0 pattern determines semantic meaning. However, neural tracking of Mandarin speech with degraded F0 information in noisy environments remains unclear.
View Article and Find Full Text PDFDancing towards speech improvement: Repurposing dance for motor speech deficits in neurodegenerative diseases.
J Alzheimers Dis
January 2025
Rockefeller University, New York, NY, USA.
Dance or rhythmic movement-based training has demonstrated significant efficacy in addressing a range of motor and cognitive deficits associated with neurodegenerative diseases like Parkinson's and Alzheimer's diseases. Leveraging both human and non-human animal behavioral and neurobiological evidence, I hypothesize a possible untapped role of dance training in mitigating impairments in the motor control of speech, a complex sensorimotor behavior affected in these conditions. Here, this hypothesis is supported by an in-depth examination of motor speech deficits in Parkinson's and Alzheimer's diseases, at a behavioral, physiological, and neural level.
View Article and Find Full Text PDFExamining the influence of diet on auditory working memory in females.
Nutr Health
January 2025
Department of Audiology, All India Institute of Speech and Hearing, Mysore, India.
A nutritious diet is crucial for good health and cognitive function, including working memory (WM). Nutrients like omega-3 fatty acids, antioxidants, and vitamins found in whole foods have been linked to improved WM. Examining the impact of dietary habits on WM in women, who face hormonal and health-related challenges, is important.
View Article and Find Full Text PDFEpidemiologic threats and outcome of evolving COVID-19-associated mucormycosis from a referral hospital in Egypt.
J Infect Dev Ctries
December 2024
Chest Dpt., Ahmed Maher Teaching Hospital, GOTHI, Cairo, Egypt.
Introduction: The present study aimed to explore the epidemiologic threats and factors associated with the coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) epidemic that emerged in Egypt during the second COVID-19 wave. The study also aimed to explore the diagnostic features and the role of surgical interventions of CAM on the outcome of the disease in a central referral hospital.
Methodology: The study included 64 CAM patients from a referral hospital for CAM and a similar number of matched controls from COVID-19 patients who did not develop CAM.
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