Reviews in the Neurosciences最新文献

This review explores the correlation of non-alcoholic fatty liver disease (NAFLD) with cognitive function and brain changes. A comprehensive search of relevant studies in the PubMed database up to June 2024 was conducted, including various study designs such as cross-sectional, longitudinal, case-control, and cohort studies. Data were extracted from 24 studies, focusing on study design, sample size, NAFLD diagnosis, control of confounders, key findings, and limitations. Neuropsychological tests utilized within each study were grouped into relevant cognitive domains. Statistical analyses and comparisons were also performed on the observed changes in brain parameters across the studies. The meta-analysis on the domain of general cognition was conducted. Results indicated that NAFLD was significantly associated with general cognition, executive function, attention, and memory. NAFLD impacts the total brain volume, the volumes of specific brain regions and certain high-intensity brain regions, the cerebral blood flow and perfusion, the integrity of nerve fiber bundles, and the brain abnormalities or lesions such as cerebral hemorrhage, cerebral microbleeds, and white matter lesions. NAFLD also affects the thickness and surface area of certain cortical regions and the resting-state brain function MRI indicators in specific brain areas. Despite these findings, the included studies varied in design, population characteristics, and outcome measures, which introduced heterogeneity that might influence the generalizability of the results. Overall, NAFLD is associated with a decline in cognitive function and alterations in certain brain parameters. Furthermore, NAFLD may exert its influence on cognition by impacting brain structure.

Major depressive disorder is a common mental disorder, and a significant number of patients exhibit poor response to conventional antidepressant treatments, known as treatment-resistant depression (TRD). However, the definition of TRD globally remains unclear, impeding clinical research, treatment development, outcome implementation, and policy-making. A wealth of research confirms that rTMS demonstrates promising efficacy in TRD. This paper elucidates the definition of TRD, summarizes potential targets of rTMS for treating TRD, comprehensively elaborates on the unique mechanisms, efficacy, and side effects of rTMS in treating TRD, and outlines considerations for special populations receiving rTMS treatment for TRD as well as other treatment modalities for TRD. Through these studies, we aim to provide more scientifically grounded recommendations for patients undergoing rTMS treatment for TRD.

There has been a significant amount of attention directed towards understanding brain development, shedding light on the underlying mechanisms. The proliferation and differentiation of brain stem cells have been a key focus. The process of neurolation occurs during the early stages of embryonic development, leading to the formation of the neural tube, a hollow nerve cord that gives rise to the central nervous system (CNS). There is a growing emphasis on the fluid-filled space inside the developing CNS and the potential role of cerebrospinal fluid (CSF) in brain development. The flow of CSF near the germinal epithelium significantly impacts the proliferation of cells in the cerebral cortex. CSF provides crucial support to the germinal epithelium, influencing the growth and differentiation of neural stem cells. It achieves this by releasing growth factors, cytokines, and morphogens that control the proliferation, survival, and migration of neuroepithelium. During development, the concentration of proteins in the CSF is notably higher compared to that in adults. Studies have indicated that removing CSF from the brain's ventricles during development causes an increase in neural cell deaths and a reduction in neural cell proliferation, ultimately leading to a thinner cerebral cortex. Additionally, many researches demonstrate that the composition of the CSF is essential for maintaining germinal matrix function and output, highlighting the critical role of CSF in brain development. It is concluded that CSF impacts the proliferation and differentiation of neural stem cells, which in turn plays a pivotal role in brain development.

Auditory steady-state response (ASSR) is a robust method to probe gamma (>30 Hz) activity in a controlled manner. While typically the magnitude and the phase synchronization over stimulus repetitions of ASSR is assessed, other measures are being investigated. One of them is phase-amplitude coupling (PAC), which reflects the interactions between lower frequency phase and higher frequency amplitude. Considering that the number of studies assessing PAC during auditory steady-state stimulation has grown recently, in the present work, we aimed to perform a comprehensive overview of PAC methodological approaches in ASSR studies. We sought to evaluate the studies according to PAC analysis issues emphasized in empirical and theoretical PAC studies. Our work showed considerable variability in the methodology among the reviewed studies. Furthermore, the reviewed works address methodological issues and confounding factors of PAC relatively poorly and are characterized by insufficient descriptions of the applied approaches. Our review shows that systematic research of PAC in the context of ASSR is imperative in order to properly evaluate the presence of PAC during the auditory steady-state stimulation.

Fast spiking parvalbumin (PV) interneuron is an inhibitory gamma-aminobutyric acid (GABA)ergic interneuron diffused in different brain networks, including the cortex and hippocampus. As a key component of brain networks, PV interneurons collaborate in fundamental brain functions such as learning and memory by regulating excitation and inhibition (E/I) balance and generating gamma oscillations. The unique characteristics of PV interneurons, like their high metabolic demands and long branching axons, make them too vulnerable to stressors. Neuroinflammation is one of the most significant stressors that have an adverse, long-lasting impact on PV interneurons. Neuroinflammation affects PV interneurons through specialized inflammatory pathways triggered by cytokines such as tumor necrosis factor (TNF) and interleukin 6 (IL-6). The crucial cells in neuroinflammation, microglia, also play a significant role. The destructive effect of inflammation on PV interneurons can have comprehensive effects and cause neurological disorders such as schizophrenia, Alzheimer's disease (AD), autism spectrum disorder (ASD), and bipolar disorder. In this article, we provide a comprehensive review of mechanisms in which neuroinflammation leads to PV interneuron hypofunction in these diseases. The integrated knowledge about the role of PV interneurons in cognitive networks of the brain and mechanisms involved in PV interneuron impairment in the pathology of these diseases can help us with better therapeutic interventions.

Depression is a common mental disorder characterized by a high prevalence and significant adverse effects, making the searching for effective interventions an urgent priority. In recent years, physical activity (PA) has increasingly been recognized as a standard adjunctive treatment for mental disorders owing to its low cost, easy application, and high efficiency. Epidemiological data shows positive preventive and therapeutic effects of PA on mental illnesses such as depression. This article systematically describes the prophylactic and therapeutic effects of PA on depression and its biological basis. A comprehensive literature analysis reveals that PA significantly improves depressive symptoms by upregulating the expression of "exerkines" such as irisin, adiponectin, and BDNF to positively impacting neuropsychiatric conditions. In particular, lactate could also play a critical role in the ameliorating effects of PA on depression due to the findings about protein lactylation as a novel protein post-transcriptional modification. The literature also suggests that in terms of brain structure, PA may improve hippocampal volume, basal ganglia (neostriatum, caudate-crustal nucleus) and PFC density in patients with MDD. In summary, this study elucidates the multifaceted positive effects of PA on depression and its potential biological mechanisms with a particular emphasis on the roles of various exerkines. Future research may further investigate the effects of different types, intensities, and durations of PA on depression, as well as how to better integrate PA interventions into existing treatment strategies to achieve optimal outcomes in mental health interventions.

Essentially, the blood-brain barrier (BBB) serves as a line of demarcation between neural tissues and the bloodstream. A unique and protective characteristic of the blood-brain barrier is its ability to maintain cerebral homeostasis by regulating the flux of molecules and ions. The inability to uphold proper functioning in any of these constituents leads to the disruption of this specialized multicellular arrangement, consequently fostering neuroinflammation and neurodegeneration. Recent advancements in nanomedicine have been regarded as a promising avenue for improving the delivery of drugs to the central nervous system in the modern era. A major benefit of this innovation is that it allows drugs to accumulate selectively within the cerebral area by circumventing the blood-brain barrier. Although brain-targeted nanomedicines have demonstrated impressive achievements, certain limitations in targeting specificity still exist. In this examination, we scrutinize the distinctive physical and chemical attributes of nanoparticles (NPs) contributing to their facilitation in BBB traversal. We explore the various mechanisms governing NP passage over the BBB, encompassing paracellular conveyance, mediated transport, as well as adsorptive- and receptor-mediated transcytosis. The therapeutic success of NPs for the treatment of brain tumors has been extensively investigated through the use of various categories of NPs. Among these are polymeric nanoparticles, liposomes, solid lipid nanoparticles, dendrimers, metallic nanoparticles, quantum dots, and nanogels. The potential utility of nanoparticles goes beyond their ability to transport pharmaceuticals. They can serve as adept imaging contrast agents, capable of being linked with imaging probes. This will facilitate tumor visualization, delineate lesion boundaries and margins, and monitor drug delivery and treatment response. Versatile nanoparticles can be engineered to effectively target neoplastic lesions, serving dual roles in diagnostic imaging and therapeutic interventions. Subsequently, this discourse explores the constraints associated with nanoparticles in the context of treating brain tumors.

Recently, researchers have been interested in the potential connection between gut microbiota composition and various neuropsychological disorders. Dementia significantly affects the socioeconomics of families. Gut microbiota is considered as a probable factor in its pathogenesis. Multiple bacterial metabolites such as short-chain fatty acids, lipopolysaccharides, and various neurotransmitters that are responsible for the incidence and progression of dementia can be produced by gut microbiota. Various bacterial species such as Bifidobacterium breve, Akkermansia muciniphila, Streptococcus thermophilus, Escherichia coli, Blautia hydrogenotrophica, etc. are implicated in the pathogenesis of dementia. Gut microbiota can be a great target for imitating or inhibiting their metabolites as an adjunctive therapy based on their role in its pathogenesis. Therefore, some diets can prevent or decelerate dementia by altering the gut microbiota composition. Moreover, probiotics can modulate gut microbiota composition by increasing beneficial bacteria and reducing detrimental species. These therapeutic modalities are considered novel methods that are probably safe and effective. They can enhance the efficacy of traditional medications and improve cognitive function.

Cholecystokinin (CCK) is a major neuropeptide in the brain that functions as a neurotransmitter, hormone, and growth factor. The peptide and its receptors are widely expressed in the brain. CCK signaling modulates synaptic plasticity and can improve or impair memory formation, depending on the brain areas studies and the receptor subtype activated. Studies have shown in a series of animal models of neurodegenerative diseases that CCK receptor agonists show neuroprotective effects and can effectively alleviate oxidative stress, alleviate chronic inflammation of the central nervous system, improve neuronal synaptic plasticity, prevent neuronal loss, and improve cognitive dysfunction in Alzheimer's disease (AD) model mice and motor activity in animal models of Parkinson's disease. In addition, CCK plays important roles in the amygdala to regulate anxiety and depressive states. Activation of interneurons or inhibition of excitatory neurons can improve anxiety levels. This review summarizes the effects on memory formation and synaptic plasticity, the neuroprotective effects of cholecystokinin and its analogs in neurological diseases such as Alzheimer and Parkinson's disease, and the effects on anxiety and neuronal activity in the amygdala.

The recognition and classification of facial expressions using artificial intelligence (AI) presents a promising avenue for early detection and monitoring of neurodegenerative disorders. This narrative review critically examines the current state of AI-driven facial expression analysis in the context of neurodegenerative diseases, such as Alzheimer's and Parkinson's. We discuss the potential of AI techniques, including deep learning and computer vision, to accurately interpret and categorize subtle changes in facial expressions associated with these pathological conditions. Furthermore, we explore the role of facial expression recognition as a noninvasive, cost-effective tool for screening, disease progression tracking, and personalized intervention in neurodegenerative disorders. The review also addresses the challenges, ethical considerations, and future prospects of integrating AI-based facial expression analysis into clinical practice for early intervention and improved quality of life for individuals at risk of or affected by neurodegenerative diseases.