Article
Clinical Neurology
Ziyu Yuan, Wei Wang, Xueyan Zhang, Xiaoyan Bai, Hefei Tang, Yanliang Mei, Peng Zhang, Dong Qiu, Xue Zhang, Yaqing Zhang, Xueying Yu, Binbin Sui, Yonggang Wang
Summary: This study investigated the functional connectivity patterns using the caudate nucleus as the seed in healthy controls, patients with episodic migraine, and patients with chronic migraine. The results revealed abnormal functional connectivity values in the chronic migraine patients, suggesting dysfunction in brain networks associated with pain perception and multi-regulation.
JOURNAL OF HEADACHE AND PAIN
(2022)
Article
Neurosciences
Xiang Liu, Liting Chen, Wenfeng Duan, Haijun Li, Linghong Kong, Yongqiang Shu, Panmei Li, Kunyao Li, Wei Xie, Yaping Zeng, Dechang Peng
Summary: This study aimed to investigate the changes in functional connectivity between hippocampal subdivisions and their relationship with neurocognitive function in male patients with untreated severe obstructive sleep apnoea (OSA). The results revealed functional connectivity abnormalities predominantly in the sensorimotor network, fronto-parietal network, and semantic/default mode network, which are closely related to the neurocognitive impairment observed in OSA patients.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Jianlin Guo, Yuanyuan Chen, Lijuan Huang, Wen Liu, Di Hu, Yanqiu Lv, Huiying Kang, Ningdong Li, Yun Peng
Summary: This study investigated the interaction between structural and functional connectivity in patients with infantile esotropia (IE). Using diffusion tensor imaging and resting-state functional magnetic resonance imaging, the researchers found a significant decrease in SC-FC coupling for short connections in the left caudate nucleus (CAU) of IE patients. There were no alterations in coupling metrics for global connections or long connections. Age was found to have a regulatory effect on coupling-degree association, differentiating brain regions implicated in visual processing and cognition-related brain areas in IE patients.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Ann F. Haynos, Jazmin Camchong, Carolyn M. Pearson, Jason M. Lavender, Bryon A. Mueller, Carol B. Peterson, Sheila Specker, Nancy Raymond, Kelvin O. Lim
Summary: The study found that individuals with binge eating disorder exhibit lower functional connectivity in brain reward networks, particularly involving regions related to executive functioning and emotional processing. Furthermore, reduced connectivity between the NAcc and SFG regions is associated with difficulties in reversal learning and increased binge eating frequency in this population.
Article
Neurosciences
Haiteng Wang, Ke Yu, Tianyi Yang, Lingjing Zeng, Jialu Li, Cimin Dai, Ziyi Peng, Yongcong Shao, Weiwei Fu, Jianlin Qi
Summary: The study analyzed changes in whole-brain functional connectivity in the neostriatum of 30 healthy adult men after 36 hours of complete sleep deprivation, finding significantly reduced functional connectivity between the putamen and other brain regions, which may contribute to impaired motor control and regulatory network in individuals in the sleep-deprived state.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Clinical Neurology
Liang Gong, Fang Cheng, Xue Li, Zhiqi Wang, Shuo Wang, Ronghua Xu, Bei Zhang, Chunhua Xi
Summary: This study found altered intrinsic functional connectivity in the habenular network in patients with chronic insomnia disorder, which is associated with the hyperarousal state in insomnia. These findings have important implications for understanding the neuropathological mechanisms underlying chronic insomnia.
FRONTIERS IN NEUROLOGY
(2023)
Review
Critical Care Medicine
Salam Zeineddine, James A. Rowley, Susmita Chowdhuri
Summary: Sleep-disordered breathing (SDB) has significant cardiovascular and neurological effects, with supplemental oxygen therapy showing mixed results in improving oxygen saturation and apnea severity compared to positive airway pressure therapy. Further research is needed to clarify the optimal dose and duration of nocturnal supplemental oxygen (NSO) and its combination with PAP in improving cardiovascular, sleep, and cognitive outcomes in SDB patients.
Article
Behavioral Sciences
Michael Freedberg
Summary: The relationship between hippocampal and caudate connectivity strength and episodic memory is unclear. Lower caudate network dominance in bilateral thalamic regions is associated with worse episodic memory. Age-related differences in caudate network dominance in the pallidum and putamen are also associated with worse episodic memory performance, but through their shared variance with age. There is no evidence that hippocampal network dominance is related to episodic memory performance.
Article
Otorhinolaryngology
Amal Isaiah, Taylor B. Teplitzky, Pragnya Dontu, Sumeet Saini, Maria Som, Kevin D. Pereira, Heather Bortfeld
Summary: fNIRS is used to assess the relationship between cerebral hemodynamics and problem behaviors in children with sleep-disordered breathing (SDB). The study finds a statistically significant inverse relationship between the coefficient of variation of perfusion in the frontal lobe and problem behaviors. These results suggest that fNIRS can be a child-friendly biomarker for assessing adverse outcomes of SDB.
OTOLARYNGOLOGY-HEAD AND NECK SURGERY
(2023)
Article
Neurosciences
Greg L. West, Kyoko Konishi, Kathleen MacDonald, Anjie Ni, Ridha Joober, Veronique D. Bohbot
Summary: The study found that in older adults, individuals carrying the BDNF met gene and those carrying the BDNF val gene exhibit differences in learning strategies and brain activity, with BDNF val individuals more likely to use spatial learning strategies and met carriers more likely to use response learning strategies.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Jun Jiang, Guangyuan Zou, Jiayi Liu, Shuqin Zhou, Jing Xu, Hongqiang Sun, Qihong Zou, Jia-Hong Gao
Summary: Animal experiments demonstrate the crucial role of the hypothalamus in regulating sleep-wake cycles, while neuroimaging studies suggest the presence of wake-promoting and sleep-promoting regions within the human hypothalamus. Functional network organization of the hypothalamus shifts between wakefulness and sleep, with different brain regions showing varying connectivity patterns.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
David E. Warren, Anthony J. Rangel, Nicholas J. Christopher-Hayes, Jacob A. Eastman, Michaela R. Frenzel, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang, Tony W. Wilson
Summary: The study examined the hippocampal rs-FC in healthy children before adolescence, finding associations between hippocampal rs-FC, brain networks, age, and hippocampal-dependent memory, but not with working memory. These findings contribute to our understanding of neural development and cognitive development theories.
HUMAN BRAIN MAPPING
(2021)
Article
Clinical Neurology
Laura Perez-Carbonell, Amaia Munoz-Lopetegi, Raquel Sanchez-Valle, Ellen Gelpi, Ramon Farre, Carles Gaig, Alex Iranzo, Joan Santamaria
Summary: The study revealed that FI patients exhibit frequent breathing alterations, including various breathing disturbances, distorted NREM sleep, and severely impaired REM sleep. Brainstem impairment plays a crucial role in FI.
Article
Neurosciences
Sarah Daviddi, Tiziana Pedale, Laura Serra, Simone Macri, Patrizia Campolongo, Valerio Santangelo
Summary: Individuals with Highly Superior Autobiographical Memory (HSAM) show altered hippocampal resting-state functional connectivity, potentially leading to a reduced ability to discern and select salient information and an increased probability of encoding and consolidating sensory information.
Article
Geriatrics & Gerontology
Giovanni Federico, Vincenzo Alfano, Federica Garramone, Giulia Mele, Marco Salvatore, Marco Aiello, Carlo Cavaliere
Summary: Sleep problems are common in the general population and are often associated with memory disturbances, anxiety, and depression. This study found that sleep quality is related to functional connectivity in the brain, and individuals with poor sleep perform worse in cognitive tasks and display anxious/depressive behavior.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Rajat Kumar, Bhim Singh, Raj Kumar, Sanjay Marwaha
Summary: This paper proposes an online PQ monitoring algorithm based on a decision tree, which uses S-transform to extract features from multiple and multi-stage PQ disturbance signals and accurately recognizes the underlying causes.
IETE JOURNAL OF RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Rajeev Kumar, Surinder Singh, Ajay Pal Singh Chauhan
Summary: A novel PIFA antenna based on the Gosper curve fractal geometry has been proposed for implantable biotelemetry applications. The antenna operates within the MICS band inside human muscle tissue. It is composed of two layers of radiating patch stacked together and has been optimized for performance. The fabricated antenna prototype shows a high level of reliability, closely matching the numerical antenna model.
IETE JOURNAL OF RESEARCH
(2023)
Article
Neurosciences
L. Crawford, E. Mills, N. Meylakh, P. M. Macey, V. G. Macefield, L. A. Henderson
Summary: Pain perception can be modulated by various factors, and individuals show differences in pain ratings and neural circuitry during identical noxious stimulation. Considering variability of baseline pain is important in pain modulatory paradigms, as it affects brain activity and connectivity.
Article
Clinical Neurology
Antoine Legouhy, Luke A. Allen, Sjoerd B. Vos, Joana F. A. Oliveira, Michalis Kassinopoulos, Gavin P. Winston, John S. Duncan, Jennifer A. Ogren, Catherine Scott, Rajesh Kumar, Samden D. Lhatoo, Maria Thom, Louis Lemieux, Ronald M. Harper, Hui Zhang, Beate Diehl
Summary: Although the mechanisms of sudden unexpected death in epilepsy (SUDEP) are not yet well understood, generalised-or focal-to-bilateral tonic-clonic seizures (TCS) are a major risk factor. Previous studies highlighted alterations in structures linked to cardio-respiratory regulation; one structure, the amygdala, was enlarged in people at high risk of SUDEP and those who subsequently died. We investigated volume changes and the microstructure of the amygdala in people with epilepsy at varied risk for SUDEP since that structure can play a key role in triggering apnea and mediating blood pressure.
Article
Engineering, Electrical & Electronic
Abubakar Sharif, Rajesh Kumar, Turke Althobaiti, Abdullah Alhumaidi Alotaibi, Lubna Safi, Naeem Ramzan, Muhammad Ali Imran, Qammer H. Abbasi
Summary: This article presents a bio-inspired circularly polarized ultrahigh-frequency (UHF) radio frequency identification (RFID) tag antenna for metallic and low-permittivity substances. The tag antenna is designed based on a leaf-shaped radiator, shorting stubs, and slots etched on F4B substrate. The design is optimized further using CST Microwave studio and an RFID chip is exploited as a capacitive coupling element (CCE). The tag antenna offers a read range of 7-4.5 m on metals plate and low-permittivity substrates in the US RFID band.
IEEE SENSORS JOURNAL
(2023)
Article
Environmental Sciences
Delanyo Kwame Bensah Kulevome, Hong Wang, Xuegang Wang, Rajesh Kumar, Bernard Cobbinah
Summary: A reliable diagnostic process is needed to ensure optimal operating conditions of phased array antennas. Phase measurement is difficult and costly at high frequencies, so diagnostic methods solely utilizing amplitude data are relevant. Failed elements in the array can be located by mapping their location to the radiated field using a learning algorithm. Our proposed approach uses amplitude-only data and deep neural networks to identify failed elements, and it effectively diagnoses and locates them in simulated array structures of various sizes.
JOURNAL OF APPLIED REMOTE SENSING
(2023)
Article
Computer Science, Information Systems
Saifullah Tumrani, Wazir Ali, Rajesh Kumar, Abdullah Aman Khan, Fayaz Ali Dharejo
Summary: This paper presents a multi-guided learning method for vehicle re-identification, which uses multi-attribute and view point information to enhance feature extraction robustness. Experimental results on two benchmark datasets demonstrate its comparative performance.
MULTIMEDIA SYSTEMS
(2023)
Article
Nursing
Yeonsu Song, Sarah E. Choi, Anna Papazyan, Paul M. Macey, Cathy A. Alessi, Constance H. Fung, Karen R. Josephson, Jennifer L. Martin
Summary: This study aims to describe veterans' experiences of support from family and friends with managing comorbid sleep apnea and Type 2 diabetes. A postal survey of older veterans with OSA and Type 2 diabetes was conducted, and descriptive and bivariate analyses were performed.
Review
Nursing
Ariz Amoroso Guzman, Mary-Lynn Brecht, Lynn V. Doering, Paul M. Macey, Janet C. Mentes
Summary: Social media has become an integral part of everyday life, changing how older adults communicate and interact. This review aimed to explore the potential relationship between social media use and depression in older adults through quantitative studies. The results showed a nuanced relationship between social media use and depression. However, the reviewed studies lacked exploration of structural characteristics, content, and interaction quality in older adults' social media use. Health variables, social factors, and age cohort differences could influence this relationship.
RESEARCH IN GERONTOLOGICAL NURSING
(2023)
Article
Computer Science, Artificial Intelligence
Aman Ullah, Junming Shao, Qinli Yang, Nasrullah Khan, Cobbinah M. Bernard, Rajesh Kumar
Summary: Assessing the importance of spreaders in networks is crucial, but existing heuristics often lack efficiency in solving this problem effectively. This paper proposes a new heuristic called LSS, which determines the importance of spreaders based on local information of nodes. LSS considers the k-shell, degree, and number of triangles in a network. It computes connectivity factors based on node properties, evaluates each node's contribution to line importance, and takes into account node degree and k-shell. The validation on real and synthetic networks shows that LSS efficiently identifies influential spreaders without advanced parameter settings.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah B. Mawuli, Qinli Yang
Summary: This article presents an online semi-supervised classification algorithm (OSMTS) for multilabel text streams. It dynamically maintains the subspace of terms for each label with evolving micro-clusters, and uses non-parametric Dirichlet model with k nearest micro-clusters for multilabel classification. It handles gradual concept drift with the triangular time function, and abrupt concept drift by deleting outdated micro-clusters and creating new micro-clusters based on the Chinese restaurant process and Dirichlet process.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Energy & Fuels
Alya Alhendi, Ameena Saad Al-Sumaiti, Mousa Marzband, Rajesh Kumar, Ahmed A. Zaki Diab
Summary: In this paper, an improved Markov Chain Artificial Neural network (ANN-MC) was used for load forecasting, considering various statistical factors. The validation of the proposed model was confirmed through comparing the results with other methods. Additionally, two risk indices were proposed to evaluate model performance.
Article
Engineering, Electrical & Electronic
Vikash Kumar Saini, Ameena S. Al-Sumaiti, Rajesh Kumar
Summary: This paper proposes a data-driven approach to managing uncertainties in cloud-based energy storage systems integrated with renewable energy. SVR, LSTM, and CNN-GRU algorithms are used to estimate the forecast errors of load and PV power, and two mechanisms are proposed to determine the net load error. The net error is analyzed statistically to form different uncertainty-bound confidence intervals, and the operation cost of the cloud energy storage system is calculated.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Computer Science, Artificial Intelligence
Ankit Vijayvargiya, Rajesh Kumar, Parul Sharma
Summary: Artificial intelligence has various applications in biomedical sciences, and this research focuses on using surface electromyography (sEMG) signals to aid lower limb activity recognition. The proposed approach includes a multistage classification strategy to overcome the challenges associated with sEMG signals and achieved high accuracy in recognizing lower limb activities.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Review
Multidisciplinary Sciences
Md Irfan Ahmed, Ramesh Kumar
Summary: Combined heat and power (CHP) systems are increasingly popular due to their ability to improve economics and sustainability. This paper provides a comprehensive assessment and analysis of the optimal sizing and placement of CHP, discussing its technical characteristics, economic benefits, and optimization algorithms.