Neuroimaging has revolutionized our understanding of brain function and has become an essential tool for researchers studying neurological disorders. Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are two widely used neuroimaging techniques to review changes in brain activity. fMRI is a noninvasive technique that uses magnetic fields and radio waves to produce detailed brain images. An EEG is a noninvasive technique that records the brain’s electrical activity through electrodes placed on the scalp. This review overviews recent developments in noninvasive functional neuroimaging methods, including fMRI and EEG. Recent advances in fMRI technology, its application to studying brain function, and the impact of neuroimaging techniques on neuroscience research are discussed. Advances in EEG technology and its applications to analyzing brain function and neural oscillations are also highlighted. In addition, advanced courses in neuroimaging, such as diffusion tensor imaging (DTI) and transcranial electrical stimulation (TES), are described, along with their role in studying brain connectivity, white matter tracts, and potential treatments for schizophrenia and chronic pain. Application. The review concludes by examining neuroimaging studies of neurodevelopmental and neurological disorders such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), Alzheimer’s disease (AD), and Parkinson’s disease (PD). We also described the role of transcranial direct current stimulation (tDCS) in ASD, ADHD, AD, and PD. Neuroimaging techniques have significantly advanced our understanding of brain function and provided essential insights into neurological disorders. However, further research into noninvasive treatments such as EEG, MRI, and TES is necessary to continue to develop new diagnostic and therapeutic strategies for neurological disorders.

Nowadays, chatbots is one of the fast rising artificial intelligence (AI) trend relates to the utilisation of applications that interact with users in a conversational format and mimic human conversation. Chatbots allow business to enhance customer experiences and fulfil expectations through real-time interactions in e-commerce environment. Therefore, factors influence consumer’s trust in chatbots is critical. This study demonstrates a chatbots trust model to empirically investigate consumer’s perception by questionnaire from self-reported approach and by electroencephalography (EEG) from neuroscience approach. This study starts from integrating three key elements of chatbots, in terms of machine communication quality aspect, human-computer interaction (HCI) aspect, and human use and gratification (U&G) aspects. Moreover, this study chooses EEG instrument to explore the relationship between trust and purchase intention in chatbots condition. We collect 204 questionnaires and invite 30 respondents to participate the survey. The results indicated that credibility, competence, anthropomorphism, social presence, and informativness have influence on consumer’s trust in chatbots, in turn, have effect on purchase intention. Moreover, the findings show that the dorsolateral prefrontal cortex and the superior temporal gyrus are significantly associated with building a trust relationship by inferring chatbots to influence subsequent behaviour.

Neuroinflammation is a critical factor in developing and progressing numerous brain diseases, including neurodegenerative diseases. Chronic or excessive neuroinflammation can lead to neurotoxicity, causing brain damage and contributing to the onset and progression of various brain diseases. Therefore, understanding neuroinflammation mechanisms and developing strategies to control them is crucial for treating brain diseases. Studies have shown that neuroinflammation plays a vital role in the progression of neurodegenerative diseases, such as Alzheimer’s (AD) and Parkinson’s (PD), and stroke. Additionally, the effects of PM_2.5 pollution on the brain, including neuroinflammation and neurotoxicity, are well-documented. Quercetin is a flavonoid, a plant pigment in many fruits, vegetables, and grains. Quercetin has been studied for its potential health benefits, including its anti-inflammatory, antioxidant, and anti-cancer properties. Quercetin may also have a positive impact on immune function and allergy symptoms. In addition, quercetin has been shown to have anti-inflammatory and neuroprotective properties and can activate AMP-activated protein kinase (AMPK), a cellular energy sensor that modulates inflammation and oxidative stress. By reducing inflammation and protecting against neuroinflammatory toxicity, quercetin holds promise as a safe and effective adjunctive therapy for treating neurodegenerative diseases and other brain disorders. Understanding and controlling the mechanisms of NF-κB and NLRP3 inflammasome pathways are crucial for preventing and treating conditions, and quercetin may be a promising tool in this effort. This review article aims to discuss the role of neuroinflammation in the development and progression of various brain disorders, including neurodegenerative diseases and stroke, and the impact of PM_2.5 pollution on the brain. The paper also highlights quercetin’s potential health benefits and anti-inflammatory and neuroprotective properties.

This review explores the diverse applications of gold nanoparticles (AuNPs) in neurological diseases, with a specific focus on Alzheimer’s disease (AD), Parkinson’s disease (PD), and stroke. The introduction highlights the pivotal role of neuroinflammation in these disorders and introduces the unique properties of AuNPs. The review’s core examines the mechanisms by which AuNPs exert neuroprotection and anti-neuro-inflammatory effects, elucidating various pathways through which they manifest these properties. The potential therapeutic applications of AuNPs in AD are discussed, shedding light on promising avenues for therapy. This review also explores the prospects of utilizing AuNPs in PD interventions, presenting a hopeful outlook for future treatments. Additionally, the review delves into the potential of AuNPs in providing neuroprotection after strokes, emphasizing their significance in mitigating cerebrovascular accidents’ aftermath. Experimental findings from cellular and animal models are consolidated to provide a comprehensive overview of AuNPs’ effectiveness, offering insights into their impact at both the cellular and in vivo levels. This review enhances our understanding of AuNPs’ applications in neurological diseases and lays the groundwork for innovative therapeutic strategies in neurology.