AIMC Topic: Male

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Characterizing Autism Spectrum Disorder Through Fusion of Local Cortical Activation and Global Functional Connectivity Using Game-Based Stimuli and a Mobile EEG System.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
The deficit in social interaction skills among individuals with autism spectrum disorder (ASD) is strongly influenced by personal experiences and social environments. Neuroimaging studies have previously highlighted the link between social impairment...
Child Smartphone Electroencephalography Evoked Potentials Cerebral Cortex Video Games Social Interaction Humans Machine Learning Algorithms Autism Spectrum Disorder Female Male Adolescent
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Online Privacy-Preserving EEG Classification by Source-Free Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
Electroencephalogram (EEG) signals play an important role in brain-computer interface (BCI) applications. Recent studies have utilized transfer learning to assist the learning task in the new subject, i.e., target domain, by leveraging beneficial inf...
Electroencephalography Privacy Brain-Computer Interfaces Online Systems Transfer, Psychology Machine Learning Humans Algorithms Adult Male
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Digital Biomarker for Muscle Function Assessment Using Surface Electromyography With Electrical Stimulation and a Non-Invasive Wearable Device.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
Sarcopenia is a comprehensive degenerative disease with the progressive loss of skeletal muscle mass with age, accompanied by the loss of muscle strength and muscle dysfunction. Individuals with unmanaged sarcopenia may experience adverse outcomes. P...
Healthy Volunteers Muscle Contraction Wavelet Analysis Electric Stimulation Motor Neurons Action Potentials Sarcopenia Male Muscle, Skeletal Middle Aged Electromyography Deep Learning Biomarkers Wearable Electronic Devices Female Young Adult Humans Adult Neural Networks, Computer Algorithms
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Optimizing number of Raman spectra using an artificial neural network guided Monte Carlo simulation approach to analyze human cortical bone.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 25, 2024
This study presents a novel methodology for optimizing the number of Raman spectra required per sample for human bone compositional analysis. The methodology integrates Artificial Neural Network (ANN) and Monte Carlo Simulation (MCS). We demonstrate ...
Middle Aged Spectrum Analysis, Raman Monte Carlo Method Cortical Bone Humans Neural Networks, Computer Algorithms Female Aged Young Adult Adult Male
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Explainable machine-learning-based prediction of QCT/FEA-calculated femoral strength under stance loading configuration using radiomics features.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Aug 25, 2024
Finite element analysis can provide precise femoral strength assessment. However, its modeling procedures were complex and time-consuming. This study aimed to develop a model to evaluate femoral strength calculated by quantitative computed tomography...
Humans Machine Learning Tomography, X-Ray Computed Aged Femur Finite Element Analysis Aged, 80 and over Radiomics Male Middle Aged
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Center of Pressure- and Machine Learning-based Gait Score and Clinical Risk Factors for Predicting Functional Outcome in Acute Ischemic Stroke.

Archives of physical medicine and rehabilitation Aug 24, 2024
OBJECTIVES: To investigate whether machine learning (ML)-based center of pressure (COP) analysis for gait assessment, when used in conjunction with clinical information, offers additive benefits in predicting functional outcomes in patients with acut...
Pressure Gait Analysis Stroke Rehabilitation Gait Disorders, Neurologic Risk Factors Aged Aged, 80 and over Male Middle Aged Recovery of Function Humans Ischemic Stroke Gait Machine Learning Prospective Studies Female
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Metabolic signatures derived from whole-brain MR-spectroscopy identify early tumor progression in high-grade gliomas using machine learning.

Journal of neuro-oncology Aug 24, 2024
PURPOSE: Recurrence for high-grade gliomas is inevitable despite maximal safe resection and adjuvant chemoradiation, and current imaging techniques fall short in predicting future progression. However, we introduce a novel whole-brain magnetic resona...
Magnetic Resonance Spectroscopy Middle Aged Disease Progression Glioma Neoplasm Grading Humans Machine Learning Brain Female Aged Adult Brain Neoplasms Male
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Machine learning for (non-)epileptic tissue detection from the intraoperative electrocorticogram.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Aug 24, 2024
OBJECTIVE: Clinical visual intraoperative electrocorticography (ioECoG) reading intends to localize epileptic tissue and improve epilepsy surgery outcome. We aimed to understand whether machine learning (ML) could complement ioECoG reading, how subgr...
Humans Machine Learning Female Adolescent Young Adult Intraoperative Neurophysiological Monitoring Adult Epilepsy Male Electrocorticography Middle Aged
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Abnormal postcentral gyrus voxel-mirrored homotopic connectivity as a biomarker of mild cognitive impairment: A resting-state fMRI and support vector machine analysis.

Experimental gerontology Aug 24, 2024
BACKGROUND: While patients affected by mild cognitive impairment (MCI) exhibit characteristic voxel-mirrored homotopic connectivity (VMHC) alterations, the ability of such VMHC abnormalities to predict the diagnosis of MCI in these patients remains u...
Humans Biomarkers Female Cognitive Dysfunction Aged Support Vector Machine Male Magnetic Resonance Imaging Middle Aged Neuropsychological Tests Case-Control Studies
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Machine learning based identification potential feature genes for prediction of drug efficacy in nonalcoholic steatohepatitis animal model.

Lipids in health and disease Aug 24, 2024
BACKGROUND: Nonalcoholic Steatohepatitis (NASH) results from complex liver conditions involving metabolic, inflammatory, and fibrogenic processes. Despite its burden, there has been a lack of any approved food-and-drug administration therapy up till ...
Machine Learning Biomarkers Liver Animals MicroRNAs Male Non-alcoholic Fatty Liver Disease Rats YAP-Signaling Proteins Disease Models, Animal
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