Article
Neurosciences
Zoey Y. Zhang, Ian G. Campbell, Pari Dhayagude, Harrison C. Espino, Irwin Feinberg
Summary: The study revealed age-related changes in sleep spindle characteristics, with spindle wave frequency increasing linearly with age, central spindle density peaking at 15.1 years, and spindle wave amplitude and duration showing different patterns of change. Sex differences were observed in spindle amplitude dynamics, with females experiencing the most rapid decline 1.4 years earlier than males. These findings suggest maturation of thalamocortical circuits and changes in sleep depth over the course of development.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Ozlem Karabiber Cura, Aydin Akan, Gulce Cosku Yilmaz, Hatice Sabiha Ture
Summary: This study proposes advanced signal processing methods for the detection and follow-up of Alzheimer's dementia (AD) using EEG signals. Various signal decomposition-based approaches and selection procedures are used to classify EEG segments and calculate features. The experimental results show that the proposed methods achieve good classification performances.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2022)
Article
Neurosciences
Peter P. Ujma, Robert Bodizs, Martin Dresler, Peter Simor, Shaun Purcell, Katie L. Stone, Kristine Yaffe, Susan Redline
Summary: Using data from MrOS and cross-validated regularized regression, this study found a significant association between sleep EEG features and cognitive performance. Specifically, sigma power in NREM sleep was positively associated with cognitive performance, while theta power in REM sleep was negatively associated.
Article
Neurosciences
Hannah Bernhard, Frederic L. W. V. J. Schaper, Marcus L. . F. Janssen, Erik D. Gommer, Bernadette M. Jansma, Vivianne Van Kranen-Mastenbroek, Rob P. W. Rouhl, Peter de Weerd, Joel Reithler, Mark J. Roberts
Summary: In this study, sleep spindles were investigated through thalamic recordings, revealing systematic coordination of multichannel spindle patterns at both thalamic and thalamocortical levels. Different subtypes of spindles were associated with distinct topographical patterns of thalamocortical spindle overlap.
Article
Biotechnology & Applied Microbiology
Gabriel Toban, Khem Poudel, Don Hong
Summary: This paper introduces an interpretable model for automatic scoring of REM and non-REM sleep stages in a single-channel EEG. By providing a smaller number of time-invariant signal filters and CNN algorithms, the model is able to extract meaningful interpretable information and incorporate time transition information into the output. The best results achieved in training and testing on the sleep-EDF-expanded database show 97% accuracy, 93% precision, and 89% recall.
BIOENGINEERING-BASEL
(2023)
Article
Neurosciences
Chao Chen, Kun Wang, Abdelkader Nasreddine Belkacem, Lin Lu, Weibo Yi, Jun Liang, Zhaoyang Huang, Dong Ming
Summary: This study proposed a new spindle wave detection algorithm that was more effective compared to traditional algorithms. By comparing the spindle characteristics of sleep-disordered subjects and normal subjects, the study assessed the spindle activity during human sleep and found a significant correlation between sleep quality score and spindle density.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Behavioral Sciences
Yuval Levin, Nishitha S. Hosamane, Taylor E. McNair, Shrujana S. Kunnam, Benjamin D. Philpot, Zheng Fan, Michael S. Sidorov
Summary: Angelman syndrome (AS) is a neurodevelopmental disorder caused by maternal UBE3A gene mutations, resulting in intellectual disability and other symptoms. Research shows increased low-frequency delta EEG rhythms in AS patients during overnight sleep, suggesting its potential as a biomarker for future clinical trials. Abnormal sleep spindles were not reliably detected during overnight sleep, indicating that delta rhythms may be a more reliable marker for AS.
Article
Physics, Multidisciplinary
Caterina Zanus, Aleksandar Miladinovic, Federica De Dea, Aldo Skabar, Matteo Stecca, Milos Ajcevic, Agostino Accardo, Marco Carrozzi
Summary: This preliminary study explored spindle-related connectivity as a possible biomarker for ADHD. The results showed significant differences in connectivity parameters between children with ADHD and healthy controls in different frequency bands, and Principal Component Analysis in the gamma band could distinguish ADHD from healthy subjects.
Article
Engineering, Electrical & Electronic
B. Vidya, P. Sasikumar
Summary: This paper introduces the applications and challenges of wearable sensor based human activity recognition (HAR), and proposes a HAR framework based on multi-resolution time-frequency analysis and machine learning. By decomposing and extracting features from the data collected by wearable sensors, and using classifiers such as support vector machine, K-nearest neighbour, ensemble classifier, and decision tree, the proposed framework achieves a high classification accuracy according to experimental results.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Engineering, Biomedical
Peilu Chen, Dan Chen, Lei Zhang, Yunbo Tang, Xiaoli Li
Summary: By combining deep features and entropy, as well as utilizing elastic time window and a compact Convolutional Neural Network, accurate detection of sleep spindles is achieved, improving automated detection performance.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Clinical Neurology
Brice McConnell, Eugene Kronberg, Peter D. Teale, Stefan H. Sillau, Grace M. Fishback, Rini Kaplan, Angela J. Fought, A. Ranjitha Dhanasekaran, Brian D. Berman, Alberto R. Ramos, Rachel L. McClure, Brianne M. Bettcher
Summary: This study identified different subtypes of spindles within slow wave upstates and found that stages N2 and N3 sleep contain a mixture of discrete subtypes of slow waves. The relative contribution of coupling subtypes shifts across the human lifespan, with a deeper sleep phenotype prevailing with increasing age. These findings support the development of coupling-based biomarkers in age-associated neurological disease.
Article
Mathematics, Interdisciplinary Applications
Levent Ozbek
Summary: Sleep scoring in psychiatry is important for disease classification, investigation of sleep patterns, and treatment practices. Manual scoring by sleep specialists is difficult and time-consuming, leading to potential errors. Automatic spindle detection methods are not consensus due to variability in spindle characteristics. The use of Adaptive Extended Kalman Filter (AEKF) in separating EEG signals into trend and cycle components shows promising results for spindle detection.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Neurosciences
Brice V. McConnell, Eugene Kronberg, Lindsey M. Medenblik, Vitaly O. Kheyfets, Alberto R. Ramos, Stefan H. Sillau, Rachelle L. Pulver, Brianne M. Bettcher
Summary: This study aimed to investigate the neurobiological properties and composition of slow wave activity (SWA) during non-rapid-eye-movement (NREM) sleep. The study found that different types of slow waves and spindle subtypes have distinct features and distribution patterns during NREM sleep cycles. Older adults produce a different composition of SWA, with a shift toward the frontal subtype associated with N3 sleep, which becomes increasingly predominant during NREM sleep cycles. These findings are important for understanding the impact of slow wave sleep on memory and neurological diseases.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Turker Tuncer, Sengul Dogan, Mehmet Baygin, U. Rajendra Acharya
Summary: This study proposes a game-based feature generation method for emotion recognition with high accuracy. It utilizes discrete wavelet transform for various decomposition levels, followed by the generation of new features using the Tetromino method.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2022)
Article
Multidisciplinary Sciences
Vamsi Inturi, A. S. Pratyush, G. R. Sabareesh
Summary: Contemporary fault diagnosis algorithms utilize advanced signal processing techniques and data-driven feature classification algorithms to provide effective fault diagnosis schemes for rotating machinery. Feature extraction is crucial, and the effectiveness of different feature extraction techniques may vary depending on the operating speeds.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Respiratory System
Sebnem Yosunkaya, Ruhusen Kutlu, Hulya Vatansev
Summary: The study found that patients with severe OSAS were heavy smokers, and increased smoking led to increased OSAS severity both by raising the AHI and decreasing overnight oxygen saturation. Each unit increase in pack-years resulted in a 15.3% increase in AHI.
CLINICAL RESPIRATORY JOURNAL
(2021)
Article
Integrative & Complementary Medicine
Mustafa S. Torlak, Sinan Bagcaci, Elif Akpinar, Ozerk Okutan, Merve S. Nazli, Serkan Kuccukturk
Summary: This study investigated the effect of intermittent diet and/or physical therapy in patients with chronic low back pain. The results showed that both interventions significantly reduced pain severity and improved daily activities.
EXPLORE-THE JOURNAL OF SCIENCE AND HEALING
(2022)
Article
Gastroenterology & Hepatology
Hulya Vatansev, Mehmet Aykut Yildirim, Serkan Kuccukturk, Mehmet Ali Karaselek, Cengiz Kadiyoran
Summary: The study documented a 19% rate of pancreatic damage in SARS-CoV-2 infection, with 29 cases of acute pancreatitis identified. The research highlights acute pancreatitis as a complication of COVID-19, underscoring the importance of evaluating the pancreas in patients with COVID-19 and abdominal pain.
GASTROENTEROLOGY RESEARCH AND PRACTICE
(2021)
Article
Computer Science, Software Engineering
Sule Yucelbas, Cuneyt Yucelbas
Summary: This study explores the relationship between ASD and jaundice and/or family history of autism in children using machine learning techniques. The results showed a 100% success rate for dataset1 and dataset3, and a 95.52% ASD detection rate in children with a history of jaundice. The study provides new insights into effective features for ASD detection based on jaundice and family autism history.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Computer Science, Software Engineering
Cuneyt Yucelbas
Summary: This article aimed to automatically determine the power density and application time values of the coagulation state obtained as a result of this application according to the relevant texture properties. Using a hybrid algorithm based on particle swarm optimization and artificial neural networks, the target values of the laser system were estimated. Test accuracy rates of 99.88% and 98.47% were achieved for the power density and application time targets, with correlation coefficients between actual and predicted data calculated as 0.99 for both targets.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Computer Science, Software Engineering
Gizemnur Erol, Betul Uzbas, Cuneyt Yucelbas, Sule Yucelbas
Summary: This study investigated the impact of data preprocessing techniques on the classification of COVID-19 data, which further improved the accuracy of machine learning studies for COVID-19 by applying methods such as encoding categorical features, feature scaling, handling missing values in the dataset, and data balancing.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Oncology
Mehmet Ali Karaselek, Serkan Kuccukturk, Tugce Duran, Ahmed Nuri Kursunlu, Mustafa Ozmen, Ceren Bozdag, Selman Alkan, Alper Varman, Mehmet Aykut Yildirim, Tevfik Kucukkartallar, Celalettin Vatansev
Summary: This study aimed to evaluate the anticancer effects of two different pillar[5]arene derivatives on pancreatic cancer cell lines. Changes in gene expression and apoptosis rate were investigated. The results showed that the pillar[5]arenes upregulated proapoptotic genes and genes involved in major caspase activation, while down-regulating antiapoptotic genes in the Panc-1 cell line. However, the apoptosis pathway was not active in the BxPC-3 cell line.
INVESTIGATIONAL NEW DRUGS
(2023)
Article
Oncology
Serkan Kuccukturk, Mehmet Ali Karaselek, Tugce Duran, Ahmed Nuri Kursunlu, Mustafa Ozmen
Summary: This study demonstrates that the newly synthesized derivatives of pillar[5]arene, d-Q-P5 and p-Q-P5, effectively inhibit the proliferation of Squamous cell carcinomas of the head and neck (HNSCC) cells by upregulating proapoptotic and caspase pathway genes, while downregulating antiapoptotic gene.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Article
Sport Sciences
Tugce Duran, Mehmet A. Karaselek, Serkan Kuccukturk
Summary: This study molecularly investigated the changes in helper T cell subgroups due to intense weightlifting training. The results showed an increase in Th1 and Th2 cell factor expressions and a decrease in Th17 and Treg cell-related expressions after training.
JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
(2023)
Article
Engineering, Biomedical
Seral Ozsen, Yasin Koca, Gulay Tezel Tezel, Fatma Zehra Solak, Hulya Vatansev, Serkan Kucukturk
Summary: Automatic sleep scoring systems have gained more attention in recent decades. Despite various studies in this field, the accuracy of these methods is still below acceptable limits for real-life data. In this study, five different datasets were prepared using 124 individuals, including 93 unhealthy and 31 healthy individuals. Various classifiers were applied to these datasets using different feature sets and feature selection techniques to search for the highest classification accuracy. The Bagged Tree classifier achieved a relatively high accuracy of 95.06% with the use of 14 features out of a total of 136 features, surpassing previous literature for real-data applications.
JOURNAL OF BIOMIMETICS BIOMATERIALS AND BIOMEDICAL ENGINEERING
(2023)
Article
Immunology
Serkan Kueccuektuerk, Mehmet Ali Karaselek, Tugce Duran, Ismail Reisli
Summary: CD19 deficiency is associated with altered expression of transcription factors and cytokines in T-cell subsets, particularly with downregulation of Th1 factors and upregulation of IFN-gamma. This suggests a potential role of CD19 deficiency in autoimmune diseases.
Article
Genetics & Heredity
Gozde Sahin, Tugce Duran, Nadir Kocak, Denizhan Bayramoglu, Mujde Canday, Asli Yurtkal, Serkan Kuccukturk, Aysegul Kebapcilar, Cetin Celik
Summary: The researchers found that neferine can inhibit the development of cervical cancer cells by promoting ER stress, making it a potential candidate for anticancer therapy.
INTERNATIONAL JOURNAL OF HUMAN GENETICS
(2023)
Article
Medicine, General & Internal
Hulya Vatansev, Mehmet Ali Karaselek, Resul Yilmaz, Serkan Kuccukturk, Ahmet Topal, Sebnem Yosunkaya, Adem Kucuk, Celalettin Vatansev
Summary: Based on TEG analysis, the study found that COVID-19 patients not hospitalized in the intensive care unit may have an increased risk of thrombosis. It is recommended to investigate thrombosis risk with TEG analysis and laboratory tests in every diagnosed patient to start treatment for those at risk.
TURKISH JOURNAL OF MEDICAL SCIENCES
(2022)
Article
Engineering, Biomedical
Cuneyt Yucelbas
Summary: The IGKNN model developed in this study showed excellent performance in diagnosing early stages of PD based on speech signals, outperforming other approaches reported in the literature.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE
(2021)
Article
Multidisciplinary Sciences
Sule Yucelbas, Ali Erduman, Cuneyt Yucelbas, Fikret Yildiz
Summary: The study aims to predict lightning events 1 hour in advance using meteorological data recorded by a single station. By analyzing data in different distance groups, a set of effective features were determined, leading to accurate lightning prediction.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
