by Ines Testoni  , Lavinia Tredici  , Gianmarco Biancalani  , Mihaela Bucuţă  , Maria Armezzani  and Hod Orkibi

Received: 16 August 2022;  Published: 30 November 2022;  doi: 10.21926/obm.neurobiol.2204147

The COVID-19 pandemic has negatively impacted anti-violence centers for women. This study aims to investigate how the COVID-19 pandemic restrictions affect: the assistance and protection functions of the anti-violence centers; the needs of women victims of violence; and the well-being of the professionals working with these women. Twenty-four Italian anti-violence centers were involved, and 29 women working there were interviewed. From the qualitative analysis of the texts, three main themes were identified regardi [...]

by Ioannis Syros  , Aggeliki Karantzali  and Xenia Anastassiou-Hadjicharalambous

Received: 11 April 2022;  Published: 15 November 2022;  doi: 10.21926/obm.neurobiol.2204146

PTSD is a serious mental health condition with a lifetime prevalence of 1% to 14% in the general population. Several studies have evaluated evidence-based treatment approaches for children and adolescents. Interventions focusing on trauma are considered first-line treatments. Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) and a similar type of group intervention, the Cognitive Behavioral Intervention on Trauma in Schools (CBITS), have received the most empirical support from randomized controlled trials. More [...]

by Louise O’Hare  and Robyn Griffiths

Received: 08 August 2022;  Published: 14 November 2022;  doi: 10.21926/obm.neurobiol.2204145

Although being one of the most common neurological disorders, migraine is commonly misunderstood and misdiagnosed. Current treatments rely on pharmacological approaches, which have been shown not to be effective for all, and so alternative, non-invasive treatments are being sought. Transcranial stimulation could be a possible treatment for migraine. Transcranial electrical stimulation generally involves applying a current to the cortex via the scalp. Whilst this has previously been mostly done in clinical settings, [...]

by Che Mohd Nasril Che Mohd Nassir  , Hafizah Abdul Hamid  , Aqilah Hambali  , Nizar Abd Manan  , Muhammad Zulfadli Mehat  , Nurul Iman Ismail  and Muzaimi Mustapha

Received: 31 July 2022;  Published: 14 November 2022;  doi: 10.21926/obm.neurobiol.2204144

The nectar produced by bees in nature is known as honey and has been consumed for its nutritional and medicinal properties. There is growing evidence that honey and its compounds have anti-inflammatory, antioxidant and anti-microbial properties that are relevant to the maintenance of health and the prevention of illnesses, including cardiocerebrovascular disease. Cerebral small vessel disease (CSVD) is one of the major risk factors for diseases such as stroke, dementia, Alzheimer’s disease, and Parkinson’s disease. [...]

by Noboru Imai

Received: 19 July 2022;  Published: 26 October 2022;  doi: 10.21926/obm.neurobiol.2204143

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 [...]

by Han Liu  , Biao Gao  and Xingxing Wang

Received: 30 June 2022;  Published: 17 October 2022;  doi: 10.21926/obm.neurobiol.2204142

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 [...]

by JeongChul HEO  and Sumi HAN

Received: 15 June 2022;  Published: 08 October 2022;  doi: 10.21926/obm.neurobiol.2204141

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 [...]

by Naira Sahakyan  and Margarit Petrosyan

Received: 10 June 2022;  Published: 08 October 2022;  doi: 10.21926/obm.neurobiol.2204140

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%, [...]

by Sveva Pepe  , Simone Tedeschi  , Nicolo' Brandizzi  , Samuele Russo  , Luca Iocchi  and Christian Napoli

Received: 27 May 2022;  Published: 04 October 2022;  doi: 10.21926/obm.neurobiol.2204139

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 [...]

by Abdulmalik A. Lawan  and Nadire Cavus

Received: 31 May 2022;  Published: 30 September 2022;  doi: 10.21926/obm.neurobiol.2203138

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 [...]