Dynamic Resting-State Functional Connectivity in Migraineurs
Abstract
597 4071
Dynamic Resting-State Functional Connectivity in Migraineursby
Noboru Imai
Abstract
Functional magnetic resonance imaging (fMRI) is widely used to detect changes in the resting-state brain networks of migraine patients. Functional connectivity fMRI analysis examines the functional organization of the brain based on temporal correlations of blood oxygen level-dependent signal changes in different brain regions. Most previous resting-state fMRI studies have assumed that functional connectivity between brain regions remains relatively stable over time. However, it is now known that the brain is a com [...] 597 4071 |
An Empirical Study on the Communication and Usage Psychology of Emoji in WechatAbstract
As an indispensable active atmosphere and meaningful emotional expression in social media, emojis describe the emotions of users in specific situations in a funny, humorous, euphemistic, and implicit form and attract users to use them consciously or unconsciously with their quick and convenient features. Currently, the research on the psychology of emoji usage is mostly from the perspective of users, while neglecting the essential attributes of emojis. The purpose of this study was to investigate and summarize the [...] 879 7676 |
Challenges and Problems on Self-directed Learning Readiness in Non–face-to-face Educational Settings During COVID-19by
JeongChul HEO
and
Sumi HAN
Abstract
This study aimed to verify whether self-directed learning readiness (SDLR) level can be significantly predicted by the literacy of learning management system (LLMS), motivation, and feedback interaction (FI) in non–face-to-face educational settings. We performed Pearson’s correlation analysis and multiple regression analysis. A total of 206 online college students responded to this web survey using simple random sampling. Results showed that three variables (LLMS, motivation, and FI) were positively associated with [...] 673 9459 |
Possible Preventive Effect of Ziziphora clinopodioides Lam. Essential Oil on Some Neurodegenerative Disordersby
Naira Sahakyan
and
Margarit Petrosyan
Abstract
The present article describes some characteristics of the effect of essential oil (EO) extracted from Ziziphora clinopodioides harvested from Armenian highlands on microglial cell lines (BV-2 wild-type (WT) and acyl-CoA oxidase1 (ACOX1)-deficient (Acox1–/–) cells). The mutant cell line was used as a model to investigate cellular oxidative damage following EO treatment. The main components of the tested EO were pulegone, isomenthone, 1,8-cineole, piperitone, and neomenthole, with concentrations of 42.1%, 9.7%, 8.22% [...] 531 4096 |
Human Attention Assessment Using A Machine Learning Approach with GAN-based Data Augmentation Technique Trained Using a Custom Datasetby
Sveva Pepe
,
Simone Tedeschi
,
Nicolo' Brandizzi
,
Samuele Russo
,
Luca Iocchi
and
Christian Napoli
Abstract
Human–robot interactions require the ability of the system to determine if the user is paying attention. However, to train such systems, massive amounts of data are required. In this study, we addressed the issue of data scarcity by constructing a large dataset (containing ~120,000 photographs) for the attention detection task. Then, by using this dataset, we established a powerful baseline system. In addition, we extended the proposed system by adding an auxiliary face detection module and introducing a unique GAN [...] 714 5683 |
A Clinical Validity-Preserving Machine Learning Approach for Behavioral Assessment of Autism Spectrum Disorderby
Abdulmalik A. Lawan
and
Nadire Cavus
Abstract
Autism spectrum disorder (ASD) is a neuropsychiatric disorder associated with critical challenges related to social, communication, and behavioral issues. Recent studies have proposed machine learning (ML) techniques for rapid and accurate assessment of ASD. However, the mismatch between the ML techniques and the clinical basis of ASD assessment reduces the effectiveness of ML-based assessment tools. The present study proposed an approach that utilized the potential of ML modeling and preserved the clinical relevan [...] 803 5141 |
Computerized Assessment of Cognitive Development in Neurotypical and Neurodivergent ChildrenAbstract
This study aims to observe the differences in the shared intentionality magnitude in mother-child dyads with neurotypical (NT) children and neurodivergent (ND) children aged 3-6 years. The quality of shared intentionality in infancy is associated with cognitive development. Our results showed that ND children scored six times higher (on average) in quiz-test than NT children. Children with difficulties in interaction (ND children) are more likely to use shared intentionality in conversation than NT children. We bel [...] 653 7003 |
Neuroprotective (Antioxidant, Antiamyloidogenic, and Antiexcitatory) Effects of TrévoTM against Cadmium Chloride Neurotoxicity in Adult Male Wistar Ratsby
Omotayo B. Ilesanmi
,
Rosephine Enadeghe
,
Chinenyenwa U. Aleneme
,
Esther F. Adeogun
and
Ufuoma J. Okotie
Abstract
Cadmium (Cd) is a heavy metal that is deleterious to brain development as it increases brain aging. Trévo is a multi-herbal supplement that provides various health benefits, including boosting the immune system and detoxification. In this study, we investigated the neuroprotective effects of Trévo against the neurotoxic effects of cadmium chloride (CdCl2). Thirty male Wistar rats were equally divided into three groups: Group I (normal control), Group II (administered CdCl2), and Group III (administered Trévo and Cd [...] 444 4402 |
Modeling of Information Processing in Biomorphic Neuroprocessorby
Sergey Yu. Udovichenko
,
Alexander D. Pisarev
,
Alexander N. Busygin
,
Abdulla H. Ebrahim
,
Andrey N. Bobylev
and
Alexey A. Gubin
Abstract
In the present study, we present the results of the modeling of incoming information processing in a neuroprocessor that implements a biomorphic spiking neural network with numerous neurons and trainable synaptic connections between them. Physico-mathematical models of processes of encoding information into biomorphic pulses and their decoding following a neural block into a binary code were developed as well as models of the process of routing the output pulses of neurons by the logic matrix to the synapses of oth [...] 538 4159 |
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